International Semantic Intelligence Conference (ISIC 2021)


International Semantic Intelligence Conference
(ISIC 2021)
New Delhi, India: February 25-27,2021
Download Poster: jpg pdf
Important Message on Covid-19
In the context of evolving global conditions of COVID-19, we are working toward providing a safe environment to our community during ISIC 2021. We are hopeful that by the end of 2020 the conditions will stabilize.
Participation: We understand that every potential attendee (author as well as non-authors) knows what is best for him/her. In view of this, ISIC 2021 will allow remote participation and the organizing committee has started working toward putting together technical infrastructure for both types of presentations (Face-to-face and remote).
Registration: We understand that some workplaces are forfeiting the travel allowance, but need not worry as we make the remote participation available via online platforms. The registration amount for remote participation will be decreased by 30% in every category.
Deadlines: The deadlines will remain the same.
So keep going and catch it up!!


The International Semantic Intelligence Conference (ISIC) is an international platform for the Artificial Intelligence, Machine Learning and the Semantic Web communities. It aims to bring together researchers, practitioners and industry specialists to discuss, advance, and shape the future of intelligent systems by virtue of machine learning and semantic technologies.
The International Semantic Intelligence Conference (ISIC) presents a forum to publish cutting edge research results in intelligent applications. Due to many technological trends like IoT, Cloud Computing, Smart Devices, huge data is generated daily and at unprecedented rates. Traditional data techniques and platforms do not prove to be efficient because of issues concerning responsiveness, flexibility, performance, scalability, accuracy, and more. To manage these huge data sets and to store the archives for longer periods, we need granular access to massively evolving data sets. Addressing this gap has been an important and well recognized interdisciplinary area of Computer Science.
A machine will behave intelligently if the underlying representation scheme exhibits knowledge that can be achieved by representing semantics. Semantic Intelligence refers to filling the semantic gap between the understanding of humans and machines by making a machine look at everything in terms of object oriented concepts as a human look at it. Semantic intelligence helps us make sense of the most vital resource, i.e., data; by virtue of making it interpretable and meaningful. The focus is on information as compared to process. To whatever application, the data will be put to; it is to be represented in a manner that is machine-understandable and hence human-usable. All the important relationships (including who, what, when, where, how and why) in the required data from any heterogeneous data source are required to be made explicit. The Artificial Intelligence technologies, the Machine Intelligence technologies, and the semantic web technologies together make up the Semantic Intelligence Technologies (SITs). SITs have been found as the most important ingredient in building artificially intelligent knowledge based systems as they aid machines in integrating and processing resources contextually and intelligently.
Note: There are two Best Paper Awards per Track. Each award carries a certificate and a memento.

Keynote Speakers

Invited Speakers



Technical Sponsors

  • United Kingdom Simulation Society

Report an Issue

If you have any questions, do not hesitate to contact any one of the following along with your contact details and the issue:
All deadlines are midnight Indian Time:
Workshop ProposalsJune 30, 2020
Workshop Proposals NotificationsJuly 15, 2020
Full length Papers in all tracks of main conferenceAug 10, 2020 Oct 10, 2020
Paper notifications in all tracks of main conferenceSep 20, 2020 Nov 10, 2020
End of Early Registration for main conferenceNov 1, 2020 Dec 20, 2020
Camera-ready submissions in main conferenceNov 10, 2020 Dec 25, 2020
End of Standard Registration for main conferenceJan 10, 2021
Workshop papers submissionOct 10, 2020 Jan 30, 2021
Workshop papers notificationsOct 25, 2020 Feb 05, 2021
Workshop papers registrationsFeb 10, 2021
Workshop camera-ready submissionsFeb 15, 2021
Main ConferenceFeb 25-27, 2021

Call for Full Length paper


Semantic Web Engineering  |  Ontology-based Data Access  |  Multimodal and Multilingual Access  |  Machine to Machine Communications and Interoperability  |  Knowledge Extraction and Ontology Learning from the Web  |  Multimodal and Multilingual Approach to Computing  |  Computational Paradigms and Computational Intelligence  |  Intelligent Computing and Applications, Case Studies and Tools  |  Artificial Intelligence and Machine Learning  |  Contributions of Semantic Web Technologies (SWT) to the Society  |  Cyber-Physical Systems  |  Knowledge representation and Engineering  |  Security Issues in Semantic Web  |  Applications, Opportunities, Challenges  |  Reasoning and Intelligent Processing (Semantic Search Paradigms, Semantic Web Mining, Semantic Sentiment Analysis, Semantic Web Services, Visualization, Query Answering, Semantic Information Access)  |  Mapping Knowledge bases  |  Leveraging Artificial Intelligence in Global Epidemics  |  Human-Computer Interaction  |  Data Analytics  |  Social Networks  |  Distributed and Mobile Systems  |  Computational Linguistics  |  Large Scale and Complex Information Management  |  Any other related topic...


The submissions are divided into three tracks, namely the Research Track, the Trends and Perspectives Track, and the Applications and Deployment Track. The contributors are advised to choose the track that best suits their work.

1. The Research Track

The Research Track incorporates papers that present novel work contributing significantly to the advancement of Semantic Intelligence. The submissions should list the research gaps and research contributions filling the said gaps. A section comparing the results of the research with existing benchmarks is highly desirable.The Trends and Perspectives Track explores the state of the art in the mentioned disciplines.

3. The Applications and Deployment Track

The Applications and Deployment Track accepts papers showcasing the latest advancements and applications of semantic intelligence. Once any technology or methodology originates from the research community, its challenges and benefits are explored by its concrete usage in a practical setting. The application of any research in real-world use cases sets the stage for its visibility. The Applications and Deployment Track is exactly for this purpose. This track seeks submission for applied semantic intelligence. The submissions should list the benefits; the presented application reaps from SITs. In addition to the real-world, the Applications and Deployment Track also welcomes Resources such as the vocabularies, datasets, evaluation benchmarks, and the software.

Submission Guidelines

The submissions are divided into three tracks, namely the Research Track, the Trends and Perspectives Track, and the Use Cases Track. Every paper will be assessed by the track chair and reviewed by at least three program committee members. The contributors are advised to choose the track that best suits their work. The contributions should be related to any one of the three disciplines namely Artificial Intelligence, Machine Learning, or Semantics for Data and the Web; or their intersection.
  • Submissions in all tracks must be in English with the following page length (pages of around 400 words each):
    • Full papers (12-16 pages including references)
    • Short papers (6-8 pages including references)
  • All papers must be original and not simultaneously submitted to another journal or conference.
  • The references should include all published literature relevant to the paper.
  • The review process will be Single-Blind review.

Call for Workshop/Special Session Proposals

The International Semantic Intelligence Conference 2021 (ISIC 2021) invites proposals for workshops/special sessions on the emerging topics related to the general theme of the conference. The acceptance of the proposal will be subject to the link, its specific theme is able to have with the conference major theme, i.e., Semantic Intelligence. New as well as established workshops/special sessions are welcome to send their proposals.
The proposals should be in a pdf file of maximum two pages long and to be submitted via email to, cc to general chairs (, The proposals must include the following:
  • Workshop/special session title.
  • Chairs with their affiliations and contact information.
  • A description of the workshop’s/special session’s topic and its goals specifically mentioning the connection of the proposal to the conference theme.
  • The scope of the topic chosen as an answer to why do you think it can attract researchers in the field.
  • A very brief statement on diversity commitment for the submissions.
  • Plans for publicity.
  • Potential (or accepted) program committee members.
  • Information about the most recent previous editions of the workshop/special session (if any), like the affiliated event, date, venue, and the number of submitted and accepted papers.
  • Plans for disseminating the results of the workshop/special session.
Guidelines specifically for the Workshops:
  • The workshop chairs may structure workshops as they see fit, possibly including one keynote or/and invited talk, panel discussions, presentations of work in progress papers, peer-reviewed papers, doctoral consortiums, demonstrations, programming challenges, tutorials or some combination; the proposed workshop format is to be submitted along with the proposal.
  • The workshops can propose to have their own proceedings with some publisher.
  • The workshops should tell, if they have any plans for seeking sponsorship.
Once accepted, the workshop/special session will be responsible for
  • inviting papers with titles focused on the theme of the workshop/special session.
  • publicizing workshop/special-session in the relevant communities.
  • for setting up an easy chair account for the submission of papers in the same manner as it is for the main conference.
  • creating and maintaining the workshop/special-session website.
  • for quality control over the papers in their sessions, for enforcing deadlines and for submitting all materials by the deadlines.
  • creating the Program Committee and getting the submitted papers reviewed by at least three reviewers of repute. The final decision of acceptance/rejection of papers and publication in the proceedings lie with the conference committee.
  • scheduling the workshop program timeline. For the special sessions, the deadlines will be same as for the main conference.
  • The logistics (facilities like rooms and hardware, catering like coffee breaks and lunches, and registration) of the workshops/special sessions will be handled by the ISIC 2021 local chairs.
  • Workshop/special session paper registration fees are the same as regular conference fees. All registered participants are entitled to attend all keynotes, sessions, workshops, panels, tutorials and social events. The workshop/special session papers are also candidates for best paper awards.
  • As a token of honor, the workshop/special session organizer will be given the certificate of chairing the workshop/session and a memento.
  • Each workshop/special session receives one-two free registrations, which are typically used for keynote or invited speakers or the chair. The recipients of the free registrations are at the discretion of the workshop/special session chairs in collaboration with the conference general chairs. If workshops/special sessions are not able to attract sufficient submissions that are finally accepted, the conference committee may decide to cancel the free registrations; in this case, the workshop/special session chairs will have to bear it themselves.
Should you have any queries regarding your Workshop/Special Session proposal, please contact at We look forward to seeing you at the Conference!

Call for Technical Program Committee

Researchers and practitioners from all over the world, from academia, industry, and the government are invited to participate in the conference and share their perspectives, experiences, and vision by joining the Technical Program Committee. Kindly fill your details in this google form, in case you are interested.
Important Message on Covid-19 regarding Registration
We understand that some workplaces are forfeiting the travel allowance, but need not worry as we make the remote participation available via online platforms. The registration amount for remote participation will be decreased by 30% in every category.

Registration (18% GST is to be added to the following figures)

Early Bird
(Till Dec 20, 2020)
Regular Registration
(Post Dec 20, 2020)
Regular / Professional10,50035013,000500
Note: 18% GST is to be added

Special Registration Fees for Remote Participation
Early Bird
(Till Dec 20, 2020)
Regular Registration
(Post Dec 20, 2020)
Regular / Professional7,3502459,100350
Note: 18% GST is to be added

Important Notes

  1. Author Registration charges include admission to all technical sessions, the registration kit, Tea/Coffee Breaks and Banquet Lunches on the Conference Days, reception, social event, and one banquet dinner.
  2. Non-author Registration charges include Banquet Lunches on the Conference Days, reception, social event, and one banquet dinner.
  3. Registration fees do not include accommodation and travel expenses.
  4. All the fees are exclusive of bank and service charges and inclusive of GST.
  5. As the venue of the conference is India, there are separate registration fees for Indian students and delegates, as mentioned in the table. Only the authors permanently residing (studying/working) in India can make payments in INR.
  6. All other authors including Indians currently residing or working in other countries should make payments in USD.
  7. SAARC Countries include Afghanistan, Bangladesh, Bhutan, India, The Maldives, Nepal, Pakistan, and Sri Lanka.
  8. The signature of the authorship i.e. name of the authors, their affiliations and their order in the paper cannot be changed, once the camera-ready paper submission deadline is over.
  9. If an author has multiple accepted papers in ISIC2021, he/she needs to register for each paper separately with a discount of 10% for each additional paper.
  10. For student type registration, a valid student id is required along with the registration formalities, and the original one will be requested at the registration desk for verification.
ISIC2021: Mode of Registration Fee Transfer (ONLINE ONLY)
Beneficiary NameSemantic Intelligence
BankFederal Bank
BranchKurukshetra Haryana
A/C No.23050200000063
IFSC CodeFDRL0002305
AddressRailway Rd, opposite Gole Bank, Vishnu Colony, Kurukshetra, Haryana 136118


53-54 Institutional Area, Janakpuri New Delhi -110058 website: phone : (011) 28522201-04 email: Helpline no : 9555369369
Publication:All accepted and presented papers will be included in Proceedings and submitted to for online publication. Post Conference, selected papers (Extended Versions) will be reviewed for possible publication in SCIE/SCOPUS/WoS indexed journals, if authors wish to do the same. Kindly let us know if you are interested.
Indexing:Post conference, the CEUR-WS proceedings will be made available to the following indexing services:Scopus,Scimago Journal & Country Rank, and Google Scholar; and will also be submitted to dblp computer science bibliography for inclusion.
At least one author of each accepted paper must register for the conference and present the paper there.
International Journal of Computer Applications in Technology1741-5047ESCI, Scopus, Google Scholar, DBLP
New Generation Computing
Multimedia Tools and Applications
Innovations in Systems and Software Engineering
SCIE, Scopus, Google Scholar, DBLP
SCIE, Scopus, Google Scholar, DBLP
ESCI, Scopus, Google Scholar, DBLP
United Kingdom Simulation SocietyInternational Journal of Simulation: Systems, Science and Technology1473-804XScopus, Google Scholar, DBLP
Computing and Informatics (formerly: Computers and Artificial Intelligence)1335-9150Scopus, Google Scholar, DBLP
Transactions on Emerging Telecommunications Technologies2161-5748SCIE, Scopus, Google Scholar, DBLP
Journal of Intelligent Systems2191-026XESCI, Scopus, Google Scholar, DBLP
Open Journal of Big Data (OJBD)
Open Journal of Cloud Computing (OJCC)
Open Journal of Information Systems (OJIS)
Google Scholar, DBLP
International Journal of Information System Modeling and Design
International Journal of Information Technology and Web Engineering (IJITWE)
ESCI, Scopus, Google Scholar, DBLP

Detailed Program

Timezone and Video Conference Details

All Timings are in IST. The link for accessing the video conference of the main sessions is (meeting id 975 3755 5029) with passcode ISIC2021.

Thursday, 25th Feb, 2021

9:30 am - 11:30 amRegistration, Inauguration, and High Tea: Prof.Lalit Aggarwal, Sh.I.P. Aggarwal, Prof(Dr)A.K. Saini , Dr Sarika Jain, Vote of Thanks (meeting id 975 3755 5029) with passcode ISIC2021
11:30 am - 12:30 pmKeynote 1: Sven Groppe: Emergent Hardware for Databases with focus on Semantic Web: Semantic Hybrid Multi-model Multi-platform (SHM3P) Databases (meeting id 975 3755 5029) with passcode ISIC2021
12:30 pm - 13:00 pmInvited Talk 1: Arpan Kumar Kar: Theory Building with Big Data Driven Research (meeting id 975 3755 5029) with passcode ISIC2021
1:00 pm - 2:00 pmLunch
2:00 pm - 2:30 pmInvited Talk 2: Roberto García: A Pragmatic view on Semantic Technologies (meeting id 975 3755 5029) with passcode ISIC2021
2:00 pm - 2:30 pmInvited Talk 3: Sanjay Misra: Application of AI for Sustainable Development in Developing countries (meeting id 975 3755 5029) with passcode ISIC2021
3:00 pm - 3:15 pmTea
3:15 pm - 5:00 pmNr.Session 1 (Applications Track) (meeting id 975 3755 5029) with passcode ISIC2021
Session 2 (Trends 1)
Session 3 (Trends 2)
1Krati Saxena, Sagar Sunkle, Vinay Kulkarni: Conceptual Framework Guided Legal Case Perspectives for Strategic Case PlanningSridevi. U.K, Shanthi. P: An Ontology-based Sentiment Analysis Model towards Classification of Drug ReviewsAnichebe Gregory Emeka: An Algorithmic Representation of the Syntax Diagram of a Computer Programming Language
2Asha Subramanian, Manikanta Vikkurthi, Gunjan Pattnayak, Akshay K S, Harika Vikkurthi: Bharathi –An Applied Semantic Intelligence Use Case for Public Data in IndiaAnand Muni Mishra, Vinay Gautam: Weed Species Identification in Different Crops Using Precision Weed Management: A ReviewY Narasimhulu, Ashok Suthar, Raghunadh Pasunuri, V China Venkaiah: CKD-Tree: An Improved KD-Tree Construction Algorithm
3Amit Kumar Kushwaha, Arpan Kumar Kar: Information Labelling of Medical Forum Posts by Non-Clinical Text Information RetrievalShubham Upadhyay, Rakesh Manwani, Saksham Varshney, Sarika Jain: Analytics and Storage of Big DataAshish Tiwari, Ritu Garg: ACCOS: A Hybrid Anomaly-Aware Cloud Computing Formulation-Based Ontology Services in Clouds
4Siddhanta Kumar Singh, Ajay Kumar Singh, Anand Sharma: OBD - II based Intelligent Vehicular Diagnostic System using IoTAnkita Bansal, Gaurav Thakur, Devang Verma: Detection of COVID-19 Using the CT Scan Image of LungsXavierlal J Mattam, Ravi Lourdusamy: A method of knowledgebase curation using RDF Knowledge Graph and SPARQL for a knowledge-based clinical decision support system
5Judith George Joseph, Jestin Joy, Sreeraj M, Sanjay Govind, Shijas Muhammed T P, Tibi Sunni: Automatic Information Extraction and Inferencing System from Online News Sources for Substance Abuse CasesMarcos Concon, W. K. Wong, Filbert H. Juwono, Catur Apriono: Deep Learning for Terrain Surface Classification: Vibration-based ApproachShridevi s, Shashwat Sanket, Jayraj Thakor, Dhivya M: Analysis of Semantic and Non-Semantic crawlers
6Anil K. Pandey, R. R. Janghel, R. Sujatha, S. Sathish Kumar, T. Sangeeth Kumar, Jyotir Moy Chatterjee: CoronaGo Website Integrated with Chatbot for COVID-19 TrackingMinni Jain, Rishabh Doshi, Vibhu Sehra, Divyashikha Sethia: Exploring the Effects of Different Embedding Algorithms and Neural Architectures on Early Detection of Alzheimer’s DiseaseAruna Subramanian, Subramani Appavupillai: Trust Sensitive Dual Cluster Head Based Routing Scheme to Isolate Misbehaving Nodes in MANET
7Paras Bhutani, Shubham Kumar Baranwal and Sarika Jain: Semantic Framework For Facilitating Product DiscoveryShivam, Surya Pratap Singh, Indrajeet Kumar: Rice Plant Infection Recognition using Deep Neural Network SystemsLakshit Sama, Aaisha Makkar, Polemoni Prokshitha, Devansh Dhaloria, Bhav Kirti Sharma: AI based management of Food Wastage
8B M Vinjit,Mohit Kumar Bhojak,Sujit Kumar, Dr Gitanjali Nikam: Implementation of Handwritten Digit Recognizer using CNNRakibul Sk, Ankita Wadhawan: Identification of Plants using Deep learning: A ReviewNeha Dhanotiya, Shruti Joshi,Himanshi Gupta,Nagariya, Sarika Jain: Identifying Fake Profile in Online Social Network
9Prashant varshney,Harsh Tyagi,Nikhil Kr Lohia,Abhishek Kajla,Palak Girdhar: A Deep Learning Based Approach to Detect Suspicious WeaponsRupam Dixit,Lalbabookumar,Sandhya Verma,Kapil Gupta,Sarika Jain: An Overview of lightweight Cipher
10Shanu Khare,Awedesh Kumar Shukla, Shripada Mansalakhi: The Analysis of Public CloudRishika Sen, Cherry Bhargava: Tunnel Field Effect Transistor Based Biosensors for detection of Biomolecules: A Review

Friday, 26th Feb, 2021

8:00 am - 11:00 amWorkshop 1 - Novelties in Open World (meeting id 975 3755 5029) with passcode ISIC2021
11:00 am - 11:30 amInvited Talk 4: Srinath Srinivasa: Legitimate Open-ended Dissemination of Personal Information (meeting id 975 3755 5029) with passcode ISIC2021
11:30 am - 12:00 pmTea
12:00 pm - 12:30 pmInvited Talk 5: Devanjan Bhattacharya: Semantic Enablement for Integrated Sensor Web and Spatial Data Infrastructure: Location Intelligence from Sensors (LISENS) (meeting id 975 3755 5029) with passcode ISIC2021
12:30 pm - 1:30 pmNr.Session 4 (Research Track) (meeting id 975 3755 5029) with passcode ISIC2021
Session 5 (Trends 3)
Session 6 (Trends 4)
1Sonika Malik, Sarika Jain: Semantic Ontology-Based Approach to Enhance Text ClassificationVatan, Sandip Kumar Goyal: Soft Computing based Clustering Protocols in IoT for Precision and Smart Agriculture: A SurveyPaola Di Maio: Knowledge Representation for Algorithmic Auditing to Detangle Systemic Bias
2Shajulin Benedict: Random Forest Enabled Collaborative COVID-19 Product Manufacturing/FabricationsRahul Kumar, Mridul K. Gupta, Saru Kuamri: ECC-Based Three-Factor Authentication Scheme For Multi-Server EnvironmentPaola Di Maio: AI Teaching and Learning KR, Neuro Symbolism and Reliability Notable Interlinked Gaps
3Archana Patel, Sarika Jain: Ontology Versioning Framework for Representing Ontological Concept as Knowledge UnitHafsa Binte Kibria, Abdul Matin, Sanzida Islam: Comparative analysis of two artificial intelligence based decision level fusion models for heart disease predictionDipti Joshi, Jyoti Pareek, Pushkar Ambatkar: Indian Classical Raga Identification using Machine Learning
4Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Siddharth Swarup Rautaray, Manjusha Pandey, Sachi Nandan Mohanty: Semantic Analysis of Sentiments through Web-Mined Twitter CorpusAnjali Tripathi, Upasana Singh, Garima Bansal, Rishabh Gupta, Ashutosh Kumar: HEDCM: Human Emotions Detection and Classification Model from Speech using CNNAbhay Gupta, Kuldeep Gupta, Kshama Gupta, Kapil Gupta: Human Activity Recognition Using Pose Estimation and Machine Learning Algorithm
5Niveditha Sekar, S Chandrakala, G Prakash: Analysis of Global Word Representations for Depression DetectionPraveen Mittal: AMD-network: Automatic Macular Diagnoses of disease in OCT scan images through Neural NetworkManpreet Kaur, Shalini Panwar, Ayush Joshi, Kapil Gupta: Residential Electricity Demand Prediction using Machine Learning
6Palak Girdhar, Vishu Madaan, Tanuj Ahuja, Shubham Rawat: Recognition of Facial Expression using Landmark Detection in Deep Learning ModelMani Bansal, D.K. Lobiyal: Incorporating Distinct Translation System Outputs into Statistical and Transformer Model
1:30 pm - 2:30 pmLunch
2:30 pm - 3:30 pmKeynote 2: George Fazekas: Ontology based Machine Learning in Semantic Audio Applications (meeting id 975 3755 5029) with passcode ISIC2021
3:30 pm - 6:30 pmWorkshop 2 - Validating RDF Data using Shapes (meeting id 975 3755 5029) with passcode ISIC2021
Workshop 3 - Exploration of Text–Object Relationships with Semantic Web

Saturday, 27th Feb, 2021

8:00 am - 9:00 amKeynote 3: Bharat Bhargava: Real Application of Machine Learning (REALM): Situation Knowledge on Demand (SKOD) (meeting id 975 3755 5029) with passcode ISIC2021
9:00 am - 9:30 amInvited Talk 6: Ganpathi Mani: Semantic Factors for Detecting and Preventing Cyberattacks (meeting id 975 3755 5029) with passcode ISIC2021
9:30 am - 10:45 amNr.Session 7 (Trends 5) (meeting id 975 3755 5029) with passcode ISIC2021
Session 8 (Trends 6)
Session 9 (Trends 7)
Session 10 (Trends 8)
1Poonam Phogat, Rajat Chaudhary: CURE: An Effective COVID-19 Remedies based on Machine Learning Prediction ModelsAnkita Bansal, Manoj Maurya, Niranjan Kumar, Siddharth Tomar: Analysis of hospital reviews through sentiment analysis: An approach to aid patients in the times of COVID-19 pandemicPrabakaran Thangavel, Ravi Lourduswamy: Sentimental Analysis – A Survey of Some Existing StudiesPallavi Nagpal, Deepika Chaudhary, Jaiteg Singh: Knowing the Unknown: Unshielding the Mysteries of Semantic Web in Health Care Domain
2R Sujatha, K Tejesh, H Krithi, H Rasiga Shri: Detection of Bipolar Disorder Using Machine Learning with MRISarah Dahir, Jalil ElHassouni, Abderrahim El Qadi, Hamid Bennis: Medical Query Expansion using Semantic Sources DBpedia and WikidataGerard Deepak, Santhanavijayan A: IISWS: Integrative Intelligent System for a Multi-Domain Diversified Semantic SearchG.Dineshnath,Dr S. Saraswathi: Context Aware Model of Abstractive Text Summarization For Research Articles
3Neeraj Joshi, Shubham Maurya: Real-Time Object Detection And Identification For Visually Challenged People Using Mobile PlatformHarjit Singh: Analyzing the Punjabi Language Stemmers: A Critical ApproachAshwin Makwana: Efficient Reasoner Performance Prediction using Multilabel learningAmbrish Kumar Mishra, Archana Patel, Sarika Jain: Impact of Covid-19 Outbreak on Performance of Indian Banking Sector
4Sunita Choudhary, Anand Sharma: Malware Detection in Internet of Things using Machine Learning enabled Data Science ApproachJuhee Sachdeva, Dr Sonu Mittal: Handwritten Offline Devanagri Compund Character Recognition using Machine LearningCharu Gupta, Prateek Agrawal: Pragmatic Analysis of Classification Techniques based on Hyperparameter Tuning for Sentiment AnalysisPoonam Phogat, Rajat Chaudhary: A Systematic Review on the Identification and Diagnosis of Clinical Characteristics of COVID-19 Patients
5Chetan Sharma, Shankar Shambhu, Prasenjit Das, Shaily Jain, Sakshi: Features Contributing Towards Heart Disease Prediction Using Machine LearningPrasenjit Das, Shaily Jain, Chetan Sharma, Shankar Shambhu, Sakshi: Prediction of Heart Disease Mortality Rate Using Data MiningSumit Sharma, Sarika Jain: Comprehensive Study of Semantic Annotation: Variant and Praxis
10:45 am - 11:00 amTea
11:00 am - 1:00 pmWorkshop 4 - Integrating Block chain technology with IOT (meeting id 975 3755 5029) with passcode ISIC2021
1:00 pm - 2:30 pmLunch
2:30 pm - 4:30 pmInvited Talk 7: Pelin Angin: AI-Driven Security in the Highly Connected Future IoT (meeting id 975 3755 5029) with passcode ISIC2021
Invited Talk 8: Richard Chbeir: Data management in Connected environments (meeting id 975 3755 5029) with passcode ISIC2021
Felicitation and Vote of Thanks (meeting id 975 3755 5029) with passcode ISIC2021

Keynotes and Invited Talks


Ontology based Machine Learning in Semantic Audio Applications
George Fazekas (Queen Mary University of London)
Abstract: Semantic Audio aims to associate audio and music content with meaningful labels and descriptions. It is an emerging technological and research field in the confluence of signal processing, machine learning, including deep learning, and formal knowledge representation. Semantic Audio can facilitate the detection of acoustic events in complex environments, the recognition of beat, tempo, chords or keys in music recordings or the creation of smart ecosystems and environments, for instance, to enhance audience and performer interaction. Semantic Audio can bring together creators, distributors and consumers in the music value chain in intuitive new ways. Ontologies play a crucial role in enabling complex Semantic Audio applications by providing shared conceptual models that enable combining different data sources and heterogeneous services using Semantic Web technologies. The benefit of using these techniques have been demonstrated in several large projects recently, including Audio Commons, an ecosystem built around Creative Commons audio content. In this talk, I will first outline fundamental principles in Semantic Audio analysis and introduce important concepts in representing audio and music data. Specific demonstrators will be discussed in the areas of smart audio content ecosystems, music recommendation, intelligent audio production and the application of IoT principles in musical interaction. I will discuss how machine learning and the use of ontologies in tandem benefit specific applications, and talk about challenges in fusing audio and semantic technologies as well as the opportunities they call forth.
Short Biography: Dr George Fazekas is a Senior Lecturer (Associate Prof.) in Digital Media at the Centre for Digital Music, Queen Mary, University of London (QMUL). He holds a BSc, MSc and PhD degree in Electrical Engineering. He is an investigator of UKRI's £6.5M Centre for Doctoral Training in Artificial Intelligence and Music (AIM CDT). He published over 140 academic papers in the fields of Music Information Retrieval, Semantic Web, Ontologies, Deep Learning and Semantic Audio, including an award winning paper on transfer learning. Fazekas has participated in research and knowledge transfer projects as researcher, developer and at management level. He was QMUL's Principal Investigator on the H2020 Audio Commons project (grant no. 688382, EUR 2.9M, 2016-2019) which received best score by expert reviewers of the European Commission, and Co-I of additional research projects and industrial grants worth over £410K, including the JISC funded Shared Open Vocabularies for Audio Research and Retrieval. He worked with BBC R&D to create mood-based music recommendation systems in the nationally funded Making Musical Mood Metadata project. He was general chair of ACM’s Audio Mostly 2017 and papers co-chair and organising committee leader of the AES 53rd International Conference on Semantic Audio. He is regular reviewer for IEEE Transactions, JNMR and others. He is a member of the IEEE, ACM, BCS and AES and received the Citation Award of the AES for his work on the Semantic Audio Analysis Technical Committee.
For more details on recent works see
Emergent Hardware for Databases with focus on Semantic Web
Sven Groppe (University of Lübeck, Germany)
Abstract: There exist various standards for different models of data, and hence users often must handle a zoo of data models. Storing and processing data in their native models, but spanning optimizations and processing across these models seem to be the most efficient way, such that we recently observe an advent of multi-model databases for this purpose. Companies, end users and developers typically run different platforms like mobile devices, web, desktops, (GPU- and FPGA-accelerated) servers, clouds, post-clouds (e.g., fog and edge computing) and (in the near future?) quantum computers as execution environments for their database management systems and applications at the same time. In this keynote, we propose to utilize the different platforms according to their advantages and benefits for data distribution, query processing and transaction handling in an overall integrated hybrid multi-model multi-platform (HM3P) database. We analyze the techniques and approaches of databases running on different types of platforms with special focus on Semantic Web databases. We detail new challenges for the novel concept of HM3P databases concerning a global optimization of data distribution, query processing and transaction handling across multiple platforms.
Short Biography: Sven Groppe earned his diploma degree in Computer Science in 2002 and his Doctor degree in 2005 from the University of Paderborn. He earned his habilitation degree in 2011 and his Professor title in 2019 from the University of Lübeck. He worked in the European projects B2B-ECOM, MEMPHIS, ASG and TripCom. He was a member of the DAWG W3C Working Group, which developed SPARQL. He was the project leader of the DFG project LUPOSDATE, an open-source Semantic Web database, and one of the project leaders of two research projects, which research on FPGA acceleration of relational and Semantic Web databases. He is leading a DFG project on GPU and APU acceleration of main-memory database indexes, and a DFG project about Semantic Internet of Things. He is also the chair of the Semantic Big Data workshop series, which is affiliated with the ACM SIGMOD conference (so far 2016 to 2020), and of the Very Large Internet of Things workshop in conjunction with the VLDB conference (so far 2017 to 2020). His research interests include databases, Semantic Web, query and rule processing and optimization, Cloud Computing, acceleration via GPUs and FPGAs, peer-to-peer (P2P) networks, Internet of Things, data visualization and visual query languages.
Updated information are available at
Slides: HTML PDF
Real Application of Machine Learning (REALM): Situation Knowledge on Demand (SKOD); Joint effort of Mike Stonebreaker (MIT), Bharat Bhargava(Purdue), Peter Bailis (Stanford).
Bharat Bhargava (Purdue University, Indiana, United States)
Abstract: Extracting relevant patterns from heterogeneous data streams poses significant computational and analytical challenges. Identifying such patterns and pushing corresponding content to interested users according to mission needs in real-time is the challenge. This research utilizes the best in Database systems, Knowledge representation, Machine Learning to get the right data to the right user at the right time with completeness and low noise. If user’s need is unmet, queries evolve and get modified to come close to satisfy mission needs which may themselves be unclear. If need is partially met, when new streaming data streams in, our research connects relevant data to queries. The knowledge for further processing is kept in the form of queries (megabytes) vs database (giga bytes). The project deals with multi-media data at peta and zeta scale. The research leads to a scalable, real-time, fault-tolerant, privacy preserving architecture that consumes streams of multimodal data (e.g., video, text, sound) utilizing publish/subscribe stream engines and RDBMS microservices. We utilize neural networks to extract relevant objects from video and latent semantic indexing techniques to model topics for unstructured text. We presents a unique Situational Knowledge Query Engine that continuously builds a multimodal relational knowledge base constructed using SQL queries and pushes dynamic content to relevant users through triggers based on modeling of users’ interests. We analyze an extensive collection of Cambridge data (millions of Twitter tweets, 35+ structured datasets, and 100+ hours of video traffic, and needs for police, public works and citizens).At present data from West Lafayette police is being analyzed to provide identifying suspicious activity and deal with disasters such as school shooting. We will continue to learn from NG researchers to demonstrate the feasibility of the proof-of-concept. Research has resulted in Darpa proposals, collaborations with Sandia, JPL, and multiple NGC IRADS and many research papers and Ph.D thesis.Acknowledgements: We thanks Jim Macdonald for continuous guidance and his participation in research ideas on a daily basis. Thanks to NG leaders Jeff, Hong, Eric for initiating REALM. Thanks for continued interactions among brilliant research team members in finding solutions for NG clients. Thanks to over ten students at MIT, CMU, Stanford, and Purdue who are collaborating and interacting and contributing to data, system and use cases.
Short Biography: Bharat Bhargava is a professor of the Department of Computer Science with a courtesy appointment in the School of Electrical & Computer Engineering at Purdue University. His recent research is on Intelligent Autonomous Systems and data analytics and machine learning. It includes cognitive autonomy, reflexivity, deep learning and knowledge discovery. His earlier work on Waxed Prune with MIT and NGC built a prototype for privacy preserving data dissemination in cross-domains. Currently he is leading the NGC REALM consortium. He has graduated the largest number of Ph.D students in CS department at Purdue and is active in supporting/mentoring minority students. In 2003, he was inducted in the Purdue's Book of Great Teachers. In 2017, he received the Helen Schleman Gold Medallion Award for supporting women at Purdue and Focus award for advancing technology for differently abled students.
Updated information are available at

Invited Talks

Data management in Connected environments
Richard Chbeir (Universite de Pau et des Pays de l'Adour, Anglet, France)
Abstract: Nowadays, connected environments impact various application domains (e.g., energy management, environment monitoring) by offering users a wide array of applications that help them in their everyday lives (e.g., reducing energy wastes in buildings, monitoring air or noise pollution levels in a city). Although these applications seem different, they all rely on an environment, its sensor network, and sensed data in order to detect and handle specific events (e.g., energy waste, traffic congestion, high level of noise, bad air quality). The differences lie in the definition of the targeted events (e.g., high noise different from traffic congestion event), the application domain (e.g., environmental, energy), the sensors/data required for the detection of the events, and the chosen technique for event detection. Event Query Languages (EQL) have been proposed in connected environments to allow users the definition of targeted events. However, existing languages are limited to the definition of event patterns and suffer from the following drawbacks: (i) no consideration of environment, sensor network, and application domain related components; (ii) lack of provided query types (functionality) required for the definition/management of the entire connected environment; (iii) lack of considered data and datatypes (e.g., scalar, multimedia) needed for the definition of specific events; (iv) lack of considered functionality when expressing spatial/temporal constraints; and (v) difficulty in coping with the dynamicity of the environments. To address the aforementioned limitations, I will present in this talk an EQL specifically designed for connected environments, denoted EQL-CE. I will detail its framework, the used language, syntax, and queries. EQL-CE is re-usable and generic. It allows the definition of various connected environment components, offers various query types for data management, and considers various datatypes. I will also present the query optimizer that handles the dynamicity of the environment and spatial/temporal constraints.
Short Biography: Richard Chbeir received his PhD in Computer Science from the University of INSA DE LYON-FRANCE in 2001and then his Habilitation in Leading Research degree in 2010 from the University of Bourgogne. He is currently a Full Professor in the Computer Science Department at the university of Pau & Pays de l'Adour in Anglet France. He is the head of OpenCEMS industrial Chair ( His current research interests are in the areas of Data management, Data semantics, and digital ecosystems. Richard Chbeir has published in international journals, books, and conferences, and has served on the program committees of several international conferences. He is currently the Chair of the French Chapter ACM SIGAPP.
Theory Building with Big Data Driven Research
Arpan Kumar Kar (Department of Management Studies, IIT Delhi, India)
Abstract: Data availability and access to various platforms, is changing the nature of Information Systems (IS) studies. Such studies often use large datasets, which may incorporate structured and unstructured data, from various platforms. The questions that such papers address, in turn, may attempt to use methods from computational science like sentiment mining, text mining, network science and image analytics to derive insights. However, there is often a weak theoretical contribution in many of these studies. We point out the need for such studies to contribute back to the IS discipline, whereby findings can explain more about the phenomenon surrounding the interaction of people with technology artefacts and the ecosystem within which these contextual usage is situated. This invited talk attempts to address this gap and provide insights on the methodological adaptations required in 'big data studies' to be converted into 'IS research' and contribute to theory building in information systems.
Short Biography: Arpan K. Kar is an Associate Professor in the Department of Management Studies, Indian Institute of Technology Delhi, India. His research interests are in the domain of data science, digital transformation, internet ecosystems, social media and ICT-based public policy. He has authored over 100 peer reviewed articles and edited 6 research monographs. He actively supports reputed knowledge dissemination platforms like International Journal of Information Management, International Journal of Electronic Government Research, Information Systems Frontiers, Advances in Theory and Practice of Emerging Markets, Global Journal of Flexible Systems Management, ICIS, PACIS, ECIS and IFIP conferences as associate/coordinating editor or on the editorial board. He has received reviewing excellence awards from multiple journals like I&M, GIQ, IJIM, LUP, JRCS and ESWA. Prior to joining IIT Delhi, he has worked for IIM Rohtak, IBM Research and Cognizant. He has also handled a lot of research, advocacy and training projects from national and international firms and governments. He has received numerous recognitions for his research contributions from reputed organizations like IFIP, TCS, PMI, AIMS, IIT Delhi, BK Birla (BimTech) and IIM Rohtak.
Updated information are available at
A Pragmatic view on Semantic Technologies
Roberto García (University in Lleida, Spain)
Abstract: The objective of this talk is, from a pragmatic point of view, to show examples of applications using semantic technologies in whose development the presenter has been involved. The talk will start showing a toy application, used in the classroom for teaching purposes but that illustrates all aspects of a typical development benefiting from semantic technologies. From integrating different data sources to creating an end-user interface. Then, the talk moves to bigger, real-world projects ranging from the application of semantic technologies for copyright management to media monitoring for plant health threats.
Short Biography: Roberto García is Associate Professor and Deputy Vice-rector for Transfer and Promotion of Innovation at Universitat de Lleida. He is also a Part-time Professor at Next International Business School. He has more than 20 years of experience in research and innovation applying semantic technologies in different domains, especially in connection with knowledge and media management. More recently, he is exploring Web 3, as a combination of semantic and decentralization technologies like blockchain. Web 3 is applied, for instance, to facilitate social media reuse through on-chain agreements whose terms are modelled using a copyright ontology.
Updated information are available at
Application of AI for Sustainable Development in Developing countries
Sanjay Misra (Covenant University, OTA, Nigeria)
Abstract: This lecture presents the application of artificial intelligence techniques for achieving 18 Sustainable Development Goals (SDG) suggested by united nations.  Examples of AI applications for attaining each STG will be presented. Published work on these issues will be presented and discussed with the future directive.
Short Biography: Sanjay Misra is full Professor of Computer Engineering at Covenant University (400-500 ranked University by THE) Ota, Nigeria. He has 25 years of wide experience in academic administration and research in various universities in Asia, Europe, and Africa. He is PhD. in Information and Know. Engg (Software Engineering) from the University of Alcala, Spain and M.Tech.(Software Engineering) from Motilal Nehru National Institute of Technology, India. As of today (15.03.2020)- As per SciVal(SCOPUS- Elsevier) analysis)- He is the most productive researcher (no. 1-) in whole Nigeria during 2012-2017, 2013-2018 and 2014-2019(in all subjects), in computer science no 1 in the whole country and no 4 in the whole continent. Total around 400 articles (SCOPUS/Web of Science) with 200 coauthors around the world (-90 in JCR/SCIE Journals) in the core & application area of Software Engg (SQA, SPI, SPM), Web engg, Health Informatics, Intelligent systems etc. He has delivered more than 80 keynote speeches/invited talks/public lectures in reputed conferences and institutes around the world (travelled around 60 countries). He got several awards for outstanding publications (2014 IET Software Premium Award(UK)), and from TUBITAK-Turkish Higher Education, and Atilim University). He edited (with colleagues) 42 LNCS & 6 IEEE proceedings, several books, editor in chief of book series IT Personnel and Project Management,  International Journal of Human Capital and Information Technology Professionals (IJHCITP)-IGI Global, and of 3 journals(IJ) and editor in various SCIE journals. He is a software engineer and previously held academic positions at FUT Minna - Nigeria (as Head Department of Computer Engineering and Head- Department of Cyber Security), Atilim University - Turkey, Subharati University and UP Technical University - India. He is also visiting/Collaborative professor at the University of Alcala – Spain(since 2011-), UCV- Valparaiso – Chile(since 2013-), UNICEN, Tandil – Argentina(since 2011-), and Atilim University – Turkey(since 2011-). His current research covers the areas of software quality assurance, software process improvement, software project management, object-oriented technologies, XML, SOA, Web services, cognitive informatics, artificial intelligence, neural network, health Informatics, e-learning, cloud computing, and cybersecurity. Prof Sanjay is coordinating/working/collaborating with several research groups (as visiting/adjunct professor/collaborative researcher) in various universities and industry around the world (Spain, Argentina, Turkey, Singapore, Chile, Brazil, Mexico, Norway, France, South Africa, Malaysia, Nigeria, Myanmar, Vietnam, India).
Legitimate Open-ended Dissemination of Personal Information
Srinath Srinivasa (Professor and Dean (R&D), Web Science Lab, IIIT-Bangalore, Bengaluru, India)
Abstract: Personal and sensitive information about individuals, often needs to be legitimately exchanged among different stakeholders, to provide services, maintain public health, law and order, and so on. While such exchanges are necessary, they also impose enormous privacy and security challenges. Data protection laws like GDPR specify conditions and the legal capacity in which personal information can be solicited and disseminated further. But there is a dearth of formalisms for specifying legal capacities and jurisdictional boundaries, so that open-ended exchange of sensitive data can be implemented. This paper proposes an extensible framework called Multiverse in which sensitive data can flow across a network through “role tunnels” established based on corresponding legal capacities.
Short Biography: Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIITB. Srinath holds a Ph.D (magna cum laude) from the Berlin Brandenburg Graduate School for Distributed Information Systems (GkVI) Germany, an M.S. (by Research) from IIT-Madras and B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE) Mysore. His research interests are in understanding how the WWW is affecting humanity; and how the web can enable social empowerment and capability building.He has participated in several initiatives for technology enhanced education including the VTU Edusat program, The National Programme for Technology Enhanced Learning (NPTEL), a Switzerland based online MBA school called Educatis, and IIITB’s educational outreach program with Upgrad.  He is a member of various technical and organizational committees for international conferences like International Conference on Weblogs and Social Media (ICWSM), ACM Hypertext, International Conference on Management of Data and Data Sciencec (COMAD/CoDS), International conference on Ontologies, Databases and Applications of Semantics (ODBASE), International Conference on Big Data Analytics (BDA), etc.As part of academic community outreach, Srinath has served on the Board of Studies of Goa University and as a member of the Academic Council of the National Institute of Engineering, Mysore. He has served as a technical reviewer for various journals like the VLDB journal, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Cloud Computing. He is currently serving as an Associate Editor of the journal Sadhana from the Indian Academy of Sciences. He is also the recipient of various national and international grants and awards, from foundations and companies like: EU Horizon 2020, UK Royal Academy of Engineering, Research Councils UK, MEITy, DST, Siemens, Intel, Mphasis, EMC and Gooru.
AI-Driven Security in the Highly Connected Future IoT
Pelin Angin (Middle East Technical University, Turkey)
Abstract: The past decade has witnessed an increasing use of artificial intelligence driven techniques in detecting a variety of cyber-attacks in near real time. Given the increasing prevalence of IoT with billions of connected devices creating an ever larger attack surface, cyber-attacks will only become more frequent and damaging in the years to come. While AI-based approaches will be indispensable tools for fast detection and mitigation of attacks, most algorithms require rich datasets collected under varying conditions to produce highly accurate results, which is not easy to gather and label. The semantics of the gathered data and the results output from the machine learning algorithms are very important for comprehension of how cyber-attacks try to achieve their goals and how AI-based intrusion detection systems defend against them, as well as what their pitfalls are. In this talk we will overview the current state-of-the-art in AI-based intrusion detection systems for IoT, discuss the shortcomings of existing approaches and provide research directions for learning accurate models from few data samples in IoT environments.
Short Biography: Dr. Pelin Angin is an Assistant Professor of Computer Engineering at Middle East Technical University. She completed her B.S. in Computer Engineering at Bilkent University in 2007 and her Ph.D. in Computer Science at Purdue University, USA in 2013. Between 2014-2016, she worked as a Visiting Assistant Professor and Postdoctoral Researcher at Purdue University. Her research interests lie in the fields of cloud computing and IoT security, distributed systems, 5G networks and blockchain. She is among the founding members of the Systems Security Research Laboratory and an affiliate of the Wireless Systems, Networks and Cybersecurity Laboratory at METU. She serves on the editorial boards of multiple journals on IoT and mobile computing. Her work in security has been published at high impact journals including IEEE Transactions on Dependable and Secure Computing, Computers & Security and IEEE Access among others.
Semantic Factors for Detecting and Preventing Cyberattacks
Ganpathi Mani (Qualcomm, Inc, San Diego, California, USA)
Abstract: Adversaries can poison both training and testing data in order to reduce the accuracy of the ma¬chine learning model. They can insert well-crafted data with specific triggers and adversarial labeling (predetermined wrong label) that enable misclassification of the model. During training time slightly modified (Text, Nu¬merical, Video or Image) data can be retrain the model to adhere adversarial classification. During testing time, mislabeled poisonous data can cause increase in misclassification rate and reduction in accuracy to the extent where the mod¬el is unusable. It is difficult to detect poisoning attacks because (a) the attacker’s application can be evasive and mimic benign applications and (b) poisoned data behaves as normal training data thus hard to detect. We use semantic factors as a defense and detection mechanism. We define semantic factors as statistically significant properties (Performance (PERF) counters, execution instruction sequences extracted from memory, pix¬els of video frames/images) that are determined by a heuristic that maintains order as well as frequently changing or used properties, and neurons that affect¬ed the outcome of a particular classification. We use histogram approach to determine the frequen¬cy accessed and used properties of evasive applica¬tions i.e. we assume that (1) if a particular performance counter is often changed (alternating values) by the application that is running, then it is important and (2) similarly, if a particular instruction or instruc¬tion sequence is occurring frequently then then it is important to that application to be profiled, and (3) if a particular set of neurons are firing for a spe¬cific classification task, then only consider those neurons for that particular label.
Short Biography: Ganpathi Mani is a Senior Engineer at Qualcomm, Inc. San Diego, California, USA. He obtained his Ph.D. in Computer Science, focusing on artificial intelligence and cybersecurity, from Purdue University at West Lafayette, Indiana, USA. During his time at Purdue, he worked for Intel and Qualcomm. His research interests include machine learning, deep learning, adversarial machine learning, cybersecurity and threat detection, and natural language processing. He received M.S. in Computer Science from The George Washington University, Washington DC, USA and B.E. in Electronics and Communication Engineering from Anna University, Tamil Nadu, India.
Semantic Enablement for Integrated Sensor Web and Spatial Data Infrastructure: Location Intelligence from Sensors (LISENS)
Devanjan Bhattacharya (School of Law and School of Informatics, University of Edinburgh, United Kingdom)
Abstract: The talk is going to cover research on the development of a globally shared open spatial expert system(ES), LISENS, a first of a kind geo-enabled KBES for multiple fields, smarter cities to climate modelling. LISENS is integration of SW and SDI with domain KB on data and problems, ready to infer solutions. Semantic interoperability of SW, SDI spatio-semantic KBs with inferencing logics of geometry, topology management are critical aspects of work. The session will throw light on several well-known challenges in big data arena such as : i) how to build open source spatial ontologies for spatial phenomenon using causative factors ii) how to connect ontologies to intelligent inferencing logics iii) how to build specialized knowledge bases for a generalized spatial KBES iv) how to apply the system to automate procedures viz. urban and natural v) how to integrate sensor web(SW), other data sources and spatial data infrastructure(SDI) with open source technologies.
Short Biography: My areas of research and teaching being geomatics and geo-spatial technologies, I work towards intelligent geospatial analytics merging remotely sensed data, navigation technologies, informatics and GIS together, which are proving a strong platform to progress towards sustainable smart societies, and I continue my endeavour towards that goal, through research, development and teaching. I am a Marie Curie Postdoc Fellow on data-driven innovation at Edinburgh University under TRAIN@ED project. I am working with peace-building processes compiling spatial data collected online, using AI, NLP and geo-visualization. I am proposing to setup a spatial data center “PeaceTech Edinburgh” to aid United Nations peace-building tasks through geospatial intelligence.
Updated information are available at

Workshops and Tutorials

Organizer: Professor Bharat Bhargava, Purdue University, West Lafayette, Indiana, USA
Speakers: Terrance E. Boult, University of Colorado at Colorado Springs, United States; Larry Holder, Washington State University, Washington; Eric J. Kildebeck, University of Texas at Dallas, United States
Date and Time: February 26, 2021; 9 AM to 12 Noon (New Delhi time, 10:30pm EDT in US)
Objective, Motivation and Plans: Novelties are surprises that a system encounters. System must learn about the characteristics and detect, understand, and adapt to novelty in not only the environment but in agents that interact with it. There is a need to build AI/ML system that can adapt to fluid novelties in open world. This workshop will contribute to scientific principles to quantify and characterize novelty in open-world domains. It will attempt to develop measures and evaluation criterion for behaviour of AI system. The workshop will feature 3-4 speakers but we invite the participants to think and make contribution towards this problem during the workshop.
Coordinator: Dr. Ashwin Makwana, Charotar University of Science and Technology (CHARUSAT), Anand, Gujarat
Sree Ganesh Thottempudi, Senior Research Scientist, Professor at SRH University – Berlin, Germany
Short Biography: Working as a Senior Research Scientist at the University of Heidelberg, Germany, and Professor at SRH University. For the last 10 years working in R &D in German Digital technology projects. Completed a Ph.D. on Data science and Digital technology implementation towards Indian Manuscripts.
Tutorial Schedule:
Session 1 (1.5 Hr): Introduction to Semantic web with Python
Session 2 (1.5 Hr): NER for Semantic Web
Session 3 (1.5 Hr): Semantic Web Applications Via Wissiki.
Roshan Singh, Assistant Project Engineer, Open Source Intelligence Lab, Indian Institute of Technology, Guwahati, India
Pranav Kumar Singh, Assistant Professor, Department of Computer Science and Engineering, Central Institute of Technology Kokrajhar, India
Short Biography: Roshan Singh received his Diploma in Computer Engineering from Central Institute of Technology, Kokrajhar, India in 2016, and a B.Tech degree in Computer Science and Engineering in the year 2019. He is a certified elite in Blockchain Architecture and Design by NPTEL, India. His research interests are in the domains of Blockchain Technology, Internet of Things, and Social Network Analytics. Over the years he has made several contributions to his areas of interest at various conferences and journals.
Pranav Kumar Singh is working as an Assistant Professor in the Department of Computer Science and Engineering, Central Institute of Technology Kokrajhar, India. He is having more than 12 years of Teaching Experience. He has also served as Nodal officer NKN and IPv6 Road Map of CITK, an initiative by the Government of India. He received the B.Tech and M.Tech Degree in Computer Science and Engineering. He is pursuing his Ph.D. in the Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, India. His research interests include Vehicular Communications, Security and Privacy, Software-Defined Vehicular Networking, QoS and QoE in Wireless Communication, Intelligent Transportation System, Blockchain, and IoT.
Description of the Tutorial
In this workshop, we are going to give both theoretical as well as the practical aspects of the blockchain and its integrations with the IIoT. Participants can be of different backgrounds such as Security Analyst, Security Officer, people from audit and compliance sections, academic researchers, and so on. All of them need not be experts in the concerned Computer Science and Communications domain. From that point of view, we are giving them training towards basic theories of cryptography and networks. We aim to provide them much detailed knowledge of blockchains such as its inception and working insights. Much emphasis will be given to provide and enhance their knowledge of writing secure smart contracts. Practicals will be conducted for the deployment of smart contracts on the blockchain along with its integration with IoT devices.
Jose Emilio Labra Gayo, Associate Professor, University of Oviedo, Spain
Short Biography: Founder and main researcher of WESO (Web Semantics Oviedo) research group, which collaborates with different companies around the world applying semantic web technologies to solve practical problems. Member of Web of Things and Data Shapes W3C Working Groups and of Shape Expressions, SHACL, RAX (RDF and XML interoperability) and Best practices of Multilingual Linked Open Data W3C community groups. Previously, He was coordinator of the Master in Web Engineering - University of Oviedo (2016-2017), and Dean of the School of Computer Science Engineering - University of Oviedo (2004-2012).

More information can be found at:
Tutorial Schedule:
Session 1 (1 Hr): Validating RDF Data using Shapes
Session 2 (1 Hr): Shapes Applications and tools

Special Sessions

Intelligent Systems for Semantic Web Mining (ISSWM 2021)
Monika Mangla, CSED, LTCoE, Navi Mumbai.
Sachi Nandan Mohanty, ICFAI, Hyderabad.
Suneeta Satpathy, CSED, CoEB, Bhubaneswar.
Smart Knowledge Acquisition through Semantic Intelligence (SKASI21)
R. Sujatha, Vellore Institute of Technology, Vellore, India.
G. Prakash, Amrita Vishwa Vidyapeetham, Bengaluru, India.
Dr. Dac-Nhuong Le, Haiphong University, Haiphong, Vietnam.
Intelligent Internet of Things and Applications (AIoT 2021)
Salma Sassi, University of Jendouba, Tunisia.
Richard Chbeir, University Pau &Pays de l'Adour (UPPAlaboratory), France.
Securing Semantically Intelligent Systems (SSIS 2021)
Aaisha Makkar, Thapar Institute of Engineering & Technology Patiala (Punjab), India.
Arooj Sheikh, Founder & Lead Marketer - Mavrick Media, Chandigarh, India.
Exciting challenges for semantic Web Technologies and Applications (ECSWTA 2021)
Atef Shalan, Georgia Southern University, Georgia, United States
Sonika Malik, MSIT, New Delhi, India.
Geospatial Intelligence: Semantics and Information Modelling (GISAIM 2021)
Gitanjali Ganpatrao Nikam, NIT Kurukshetra, India
Deepti Soni, Lead Data Scientist, Mastech Infotrellis, USA
Multilingual and Interlingual Semantic Representations for Natural Language Processing
Oday A. Hassen, Ministry of Education, Wasit Education Directorate, Iraq
Charu Gupta, Bhagwan Parshuram Institute of Technology, Delhi, India
Prateek Agrawal, University of Klagenfurt, Austria || Lovely Professional University, India
Vishu Madaan, Lovely Professional University, Punjab, India
Semantic Web and its Applications in Humanities and Social Sciences (SWHS 2021)
Girish Nath Jha, Jawaharlal Nehru University, India
Deepshikha Kalra, MERI COLLEGE, New Delhi, India
Ritu Aggrawal, MERI COLLEGE, New Delhi, India
Sangeeta Gupta, MERI COLLEGE, New Delhi, India
Leveraging Artificial Intelligence for Global Epidemics (AIGE 2021)
Gurdeep Singh Hura, University of Maryland Eastern Shore, USA
Sven Groppe, University of Lübeck, Germany
Sarika Jain, National Institute of Technology, Kurukshetra, Haryana, India
Le Gruenwald, University of Oklahoma, USA
Semantic Artificial Intelligence in Social Networks and Social Media
Neetu Sardana, Jaypee Institute of Information Technology, Noida, India
Anjali Goyal, Amity University Uttar Pradesh, Noida, India
Semantic Artificial Intelligence towards Industry 4.0
Shridevi.S, VIT University, Chennai, India
Thavavel.V, Prince Sattam bin Abdulaziz University, Saudi Arabia
Saleema.JS, CHRIST(Deemed to be University) , Bangalore , India
Impacts and Advancement of Digital Technologies
Nebojsa Bacanin Dzakula, Singidunum University, Serbia
Dr. Shaveta Malik, Terna College of Engineering, University of Mumbai , Maharashtra, India
Dr. Amit Kumar Tyagi, Vellore Institute of Technology, Chennai, Tamilnadu, India
Advances in Computational Intelligence, its concepts & Applications (ACI-2021)
Dr. Prateek Agrawal, Researcher, Institute of ITEC, University of Klagenfurt, Austria || Associate Professor, School of Computer Science Engineering, Lovely Professional University, Phagwara, Punjab, India
Dr. Charu Gupta, Assistant Professor, Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Delhi
Prof. Vishu Madaan, Assistant Professor, School of Computer Science Engineering, Lovely Professional University, Phagwara, Punjab, India

General Chairs

Sarika Jain
National Institute of Technology, Kurukshetra, Haryana, India

Advisory Committee

Rajkumar Buyya
CLOUDS Lab, School of Computing and Information Systems, The University of Melbourne, Australia
Gurdeep Singh Hura
University of Maryland Eastern Shore, USA
Valentina Emilia Balas
Aurel Vlaicu University of Arad, Romania
Radu A Prodan
University of Klagenfurt, Austria

Organizing Chairs

Lalit Aggarwal
MERI Education and Research Institute, Delhi, India

Organizing Secretary

Deepshikha Kalra
MERI Education and Research Institute, Delhi, India
Ritu Aggrawal
MERI Education and Research Institute, Delhi, India

Track Chairs

Research Track

Shahrul Azman Mohd Noah
CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia
Prateek Agrawal
Post-Doctoral Researcher, University of Klagenfurt, Austria | Associate Professor, Lovely Professional University, India
Petr Kremen
Department of Computer Science Czech Technical University in Prague, Czech Republic
Archana Patel
Post-Doctoral Researcher, Freie Universität, Berlin, Germany

Applications and Deployment Track

San Murugesan
Adjunct Professor, Western Sydney University, Australia

Workshops and Special Sessions Chairs

Mohamed Hamada
Senior Associate Professor The University of Aizu, Japan
Ankita Jain Bansal
Assistant Professor NetajiSubhas University of Technology Delhi, India

Publication Chairs

Jyotir Moy Chatterjee
Assistant Professor (IT) Lord Buddha Education Foundation (Asia Pacific University of Technology and Innovation), Kathmandu, Nepal
Sachi Nandan Mohanty
Department of Computer science & Engeenering, ICFAITech, ICFAI Foundation for Higher Education, Hyderabad, India

Website Chairs

National Institute of Technology Kurukshetra, Haryana
Ahmed A. Elngar
Assistant Professor, Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt

Program Committee

  • John See, Multimedia University, Malaysia
  • Olegs Verhodubs, Faculty of Computer Science and Information Technology (FCSIT), Riga Technical University, Latvia
  • Punam Bedi, Professor at the Department of Computer Science,University of Delhi, Delhi, India
  • Filbert H. Juwono, Lecturer, Dept. of. Electrical and Computer Eng., Curtin University Malaysia
  • Narayan C. Debnath, Eastern International University, Vietnam
  • Osamah Ibrahim Khalaf, Al-Nahrain University, College of Information Engineering, Baghdad, Iraq
  • Sanjay Misra, Professor of Computer (Software) Engineering, Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria
  • Kingsley A. Ogudo, Department of Electrical and Electronics Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa
  • Ayodeji Salau, AfeBabalola University, Ado-Ekiti, Nigeria
  • Amita Chaturvedi, IIT BHU, India
  • Ravi Lourdusamy, Associate Professor of Computer Science, Sacred Heart College(Autonomous), Tirupattur, Vellore, Tamil Nadu, India
  • Shilpa S. Laddha, Assistant Professor, Dept of Information Technology, Govt. College of Engg, Aurangabad, Maharashtra, India
  • Xiao Gao, University of Eastern Finland, Finland
  • Ashish Kr. Luhach, The PNG University of Technology, Papua New Guinea
  • Anatoliy Zabrovski, University of Klagenfurt, Austria
  • Vishu Madaan, Lovely Professional University, India
  • Dilip Sharma, GLA University, India
  • Charu Gupta, Indraprastha University, India
  • Akshat Agrawal, Amity University, India
  • Anjali Goyal, Guru Nanak Institute of Management and Technology, Ludhiana, India
  • Anand Sharma, Mody University, India
  • Shajulin Benedict, IIIT Kottayam, India
  • V. Devendran, Lovely Professional University, India
  • Sudeshna Chakravarty, Sharda University, India
  • Ranbir S. Batth, Lovely Professional University, India
  • Naziha Laaz, Université Ibn Tofail, Kenitra, Morocco
  • Shilpa Gite, Symbiosis University, Pune, India
  • Ketan Kotecha, Symbiosis University, Pune, India
  • Nivid Limbasia, VVP Engineering College, Gujrat, India
  • Pawan Kumar Verma, GLA University, India
  • Zahra Nazafabadi, University of Klagenfurt, Austria
  • Vladislav Kashansky, University of Klagenfurt, Austria
  • Sandeep Sood, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
  • Sahil Verma, Lovely Professional University, India
  • Deepak Prashar, Lovely Professional University, India
  • Niranjana Murthy M, MS Ramaiah Institute of Technology Bangalore, Karnataka, India
  • Hiranmay Ghosh, Ex-Advisor, TCS Research
  • Ajantha Devi, AP3 Solutions, Chennai, India
  • Nischay Bahl, DAV College, Jalandhar, India
  • Amit Choudhary, Maharaja Surajmal Institute, Delhi, India
  • Rashmi Agrawal, Manav Rachna International Institute of Research and Studies, Faridabad, India
  • Savita Ahlawat, Maharaja Surajmal Institute of Technology, Delhi, India
  • Suman Bhattacharya, KIIT University, Odisha, India
  • Pethuru Raj, Reliance Jio Infocomm Ltd, Tamil Nadu, India
  • T. V. Ananthan, Dr. M. G. R. Educational and Research Institute, India
  • Golda Dilip, SRM Chennai, India
  • Chittaranjan Pradhan, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, India
  • Pranav K Singh, Department of CSE, CIT Kokrajhar, India
  • Chiranji Lal Chowdhary, Vellore Institute, Channai, India
  • Manju Khari, Ggsip university, India
  • Kiran Sree Pokkuluri, Shri Vishnu Engineering College for Women, India
  • Usha Devi, JNTU Kakinada, India
  • Naresh Kumar, IIT Roorkee, India
  • Shankey Garg, National Institute of Technology Raipur, India
  • S. Rakesh Kumar, Galgotias University, India
  • N. Gayathri, Galgotias University, India
  • Tarun Singhal, CGC LANDRAN, India
  • Arun solanki, GBU, India
  • Sarvesh Tanwar, Amity University, Noida, India
  • Sharmistha Dey, Brainware University, India
  • Dac-Nhuong Le, Haiphong University, Haiphong, Vietnam
  • K Kalaiselvi, Vels Institute of Science, Technology & Advanced Studies, Chennai, India
  • Jyoti Pareek, Professor in Computer Science, Gujarat Univetsity, India
  • R. Sujatha, School of Information Technology and Engineering, Vellore Institute of Technology, India
  • Yogesh Sharma, GGSIPU, India
  • Amit Jain, Sir Padampat Singhania University, Udaipur, India
  • Dana Rad, Aurel Vlaicu University of Arad, Romania
  • Aaisha Makkar, Thapar University, India
  • Pramod Sharma, Regional College for Education Research and Technology,Jaipur, India
  • G. Kalpana, University of Madras, India
  • Arun Sharma, Indira Gandhi Delhi Technical University for Women, India
  • Mamoon Rashid, Lovely Professional University, India
  • Sachin Sharma, Manav Rachna International Institute of Research and Studies, Faridabad, India
  • Ishwer Shivakoti, Sikkim Manipal Institute of Technology, India
  • Mohseena Thaseen, NES Science College, Maharashtra, India
  • Nandana Mihindukulasoor, IBM Research AI, India
  • Aadil Ahmad Lawaye, BGSB University, India
  • Sandeep Kumar Panda, ICFAI Foundation for Higher Education, Hyderabad, India.
  • Arvind Selwal, Central Universiry of Jammu, India
  • Sharad Saxena, Thapar University, India
  • Sudhir Kumar Sharma, IITM Janakpuri, GGSIPU Delhi, India
  • Vinay gautam, CHITKARA university, India
  • Tushar Jain, Professor and Head Mechanical Engg MIET MEERUT, India
  • Latika Kharb, Professor, JIMS, Delhi, India
  • Suneeta Satpathy, BPUT, India
  • Tanvi, CGC college of engineering landran mohali punjab, India
  • Rituraj Soni, Engineering College Bikaner, India
  • Deepti Singh, Nsit, New delhi, India
  • Ruchi Mittal, Netaji Subhas Institute of Technology, India
  • Mamata Rath, School of Management, Birla Global University,Bhubaneswar,India
  • Sachin Kumar Gupta, Shri Mata Vaishno Devi Unversity, Katra, India
  • Rahul Johari, GGSIP University, Delhi, India
  • Umang, ITS, Ghaziabad, India
  • Abhilash Sharma, MIET, Meerut, India
  • K. Martin Sagayam, Karunya Institute of Technology and Sciences, India
  • Dr. Priti Jagwani, University of Delhi, India
  • Sree Ganesh Thottempudi, University of Heidelberg and BBAW, Germany
  • Joel Luís Carbonera, UFRGS (Federal University of Rio Grande do Sul), Brazil
  • Yang Lu, University of Kent, United Kingdom
  • Fatmana Senturk, Pamukkale University, Turkey
  • Nafees Farooqui, Dehradun Institute of Technology, Uttarakhand, India
  • C. Anantaram, Part-time Visiting Faculty, IIIT Delhi and Consultant at TCS, Delhi India
  • Prajoy Podder, Bangladesh University of Engineering and Technology, Bangladesh
  • Aleksei Rozhnov, Institute of Control Sciences, Moscow, Russia
  • Oscar Corcho, Ontology Engineering Group, University of Polytechnic, Madrid, Spain
  • A. Medina-Santiago, National Institute of Astrophysics, Optics and Electronics (INAOE), Cholula, Mexico
  • Richard Chbeir, IUT de Bayonne et du Pays Basque, Anglet, France
  • Srinath Srinivasa, Professor and Dean (R&D), Web Science Lab, IIIT-Bangalore, Bengaluru, India
  • Monika Mangla, CSED, LTCoE, Navi Mumbai
  • G. Prakash, Amrita Vishwa Vidyapeetham, Bengaluru, India
  • Salma Sassi, University of Jendouba, Tunisia
  • Arooj Sheikh, Founder & Lead Marketer - Mavrick Media, Chandigarh, India
  • Atef Shalan, Georgia Southern University, Georgia, United States
  • Sonika Malik, MSIT, New Delhi, India
  • Nenad Petrovic, University of Nis, Serbia
  • Yurii Prokopchuk, The Institute of Technical Mechanics of the NASU and SSAU, Ukraine
  • Manik Sharma, DAV University, Jalandhar, India
  • Sushil Kumar Singh, Seoul National University of Science and Technology, South Korea
  • Devina Mohan, ABB Global Research Centre, India
  • Shakshi Sharma, University of Tartu, Estonia
  • Sangeeta Lal, Heriot Watt University, Edinburg
  • Geetika Munjal, Amity University-Noida, India
  • Sweta Srivastava, Amity University-Noida, India
  • Asmita Yadav, aypee Institute of Information Technology- Noida, India
  • Tobias Groth, University of Lubeck, Germany
  • Benjamin Warnke, University of Lubeck, Germany
  • Sasmita Nayak, College of Engineering, Bhubaneshwar, India
  • Ganapathy Mani, Purdue University, United States
  • Vikram Singh, NIT Kurukshetra, India
  • Vinay Gautam, Chitkara Univrsity, India
  • Mohammad Haider, Saudi Electronic University, Saudi Arabia
  • Deepak Sharma, GGSIPU, India
  • Preety Khatri, CCS University, India
  • Prateek Thakral, Jaypee University of Information Technology, Solan Himachal Pradesh, India
  • Ashish Tiwari, NIT Kurukshetra, India
  • Laszlo T. Koczy, Budapest university of technology and economics, Hungary
  • Devendra K. Tayal, IGDTUW, Delhi, India
  • D.K . Lobiyal, JNU, Delhi, India
  • Subodh Kesharwani, IGNOU, Delhi, India
  • Amita Jain, AIACTR, Delhi, India
  • Goonjan Jain, DTU, Delhi, India
  • Gitanjali Ganpatrao Nikam, NIT Kurukshetra, India
  • Oday A. Hassen, Ministry of Education, Wasit Education Directorate, Iraq
  • Neetu Sardana, Jaypee Institute of Information Technology, Noida, India
  • Anjali Goyal, Amity University Uttar Pradesh, Noida, India
  • Ihtiram Khan, Jamia Hamdard, Delhi
  • Olawande Daramola, Cape Peninsula University of Technology, South Africa
  • Vishal Lama, Amdocs, Pune, India
  • Gagandeep Singh Narula, Guru Gobind Singh Indraprastha University, India
  • Cogan Shimizu, DAGSI Fellow and Instructor, Data Semantics Lab, Wright State University, USA
  • George Fazekas, Queen Mary University of London
  • Konstantinos Sofianos, Ionian University, Corfu, Greece
  • Chandreyee Chowdhury, Jadavpur University, India
  • Suparna Biswas, Maulana Abul Kalam Azad University of Technology, West Bengal, India
  • Rajesh Chatterjee, Technology Manager, BA Continuum India Private Limited (subsidiary of Bank of America)
  • Sheena Sharma, NIT Kurukshetra, India
  • Sanju Tiwari, Selfemployed
  • Kamlesh Kumari, UIET, Kurukshetra University, India
  • Moussa ABOUBAKAR, LIST, Communicating Systems Laboratory, France
  • Temitayo M. Fagbola, Federal University Oye-Ekiti, Nigeria; Durban University of Technology, South Africa
  • Michael Mrissa, University of Primorska, Slovenia
  • Deepti Soni, Lead Data Scientist, Mastech Infotrellis, USA
  • Muhammad Imran Tariq, Superior University, Lahore, Pakistan
  • Vikas Goyal, Education Department, Haryana, India
  • Chandra Shekhar Yadav, STQC, MeitY, India
  • Shridevi. S, Vellore Institute of Technology, India
  • Karen Smiley, Senior Technology Development Manager, BAE Systems Inc, FAST Labs, USA
  • Paola Di Maio, National Cheng Kung University, Taiwan
  • Bharat Bhargava, Purdue University, USA
  • Shanmugaraja P, Sona College of Technology, Salem, Tamil Nadu, India
  • Devendra Prasad, Chitkara University, Punjab, India
  • Dr.V.Saravanakumar, Sreenidhi Institute of Science and Technology, University of Hyderabad, India
  • N.Bhalaji, SSN College of Engineering, Tamil Nadu, India
  • Subash sakthivel, Sri Ramakrishna engineering college, Tamil Nadu, India
  • Asha Subramanian, Semantic Web India Private Limited, Bengaluru, India
  • Anna Jordanous, School of Computing, University of Kent, United Kingdom
  • Antonio Lieto, University of Turin, Italy
  • Amit Bhatia, Senior Principal Research Scientist, BAE Systems Inc, FAST Labs, NC, USA
  • Karl Severi, Senior Scientist, BAE Systems Inc, FAST Labs, NC, USA
  • Teresa Jade, Principal Linguistic Specialist, SAS, Raleigh-Durham, North Carolina, USA
  • Saravana Kumar V, Sreenidhi Institute of Science and Technology, Hyderabad, India
  • Medha Atre, Ph.D., Scientific Research Consultant (freelance)
  • Prerna Jain, VMware, Bengaluru, India
  • Bogdan Ćwik, Military University of Technology, Warsaw, Poland
  • Uma Sankari S S, Indian Space Research Organization, Kerala, India
  • Ripal D Ranpara, Atmiya University, India
  • Abderrahim El Qadi, High School of Technology in Sale, Mohammed V University in Rabat Morocco
  • Gerard Deepak, Sr. Research Scholar, NIT Tiruchirappalli, India
Please use the following links for further information on the edition of the given year of the International Semantic Intelligence Conference (ISIC):

Special Session: Leveraging Artificial Intelligence for Global Epidemics (AIGE 2021)

Aims and Scope

In the fight against epidemics, medical staff is on the front line; but behind the lines, the battle is fought by the government officials, researchers, and data scientists. Artificial Intelligence has been helping nations with computer modeling and simulation for predictions about e.g. the overall economic situation, tax incomes, and population development. In the same manner, AI can prepare the government for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak situation of global epidemics. It can help the researchers analyze global data about known viruses to predict the knows-hows of the next pandemic and the impact it will have. Not only prediction, AI plays an increasingly important role in assessing a country’s readiness, early detection, identification of patients, generating recommendations, situation awareness, and more. It is upto the right input and the innovative ways by humans to leverage what AI can do.
As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. This book contains chapters describing the role AI plays in various stages of a disease outbreak, with COVID-19 as a case study.
We welcome submissions about research results in following specified topics:
  • Assessing Countries’ Readiness for Coping with Epidemics
  • Study related to Animal originated diseases
  • Challenges in Battling with Epidemics
  • Does AI help in Forecasting?
  • AI and Detection
  • Generating Recommendations
  • Does AI help in Genome Sequencing?
  • AI-assisted Testing
  • Role of AI in Contact Tracing
  • Situation Awareness
  • Computational Drug Repurposing
The type of submission can be any of the main conference, i.e. Research, Trends and Perspectives, or Applications and Deployment.

Guest Editors

Gurdeep Singh Hura
University of Maryland Eastern Shore, USA
Sarika Jain
National Institute of Technology, Kurukshetra, Haryana, India
Le Gruenwald
University of Oklahoma, USA


Full length PapersAug 10, 2020
Paper notificationsSep 20, 2020
Camera-ready submissionsNov 10, 2020
Main ConferenceFeb 25-27, 2021

Submission Guidelines

The submissions are divided into three tracks, namely the Research Track, the Trends and Perspectives Track, and the Use Cases Track. Every paper will be assessed by the special session chairs and reviewed by at least three program committee members. The contributors are advised to choose the track that best suits their work.
  • Submissions in all tracks must be in English with the following page length (pages of around 400 words each):
    • Full papers (12-16 pages including references)
    • Short papers (6-8 pages including references)
  • All papers must be original and not simultaneously submitted to another journal or conference.
  • The references should include all published literature relevant to the paper.
  • The review process will be Single-Blind review.
  • Submissions must be either in PDF or in MS-Word, formatted in the style of the Springer Publications format for Communications in Computer and Information Science (CCIS). For details on the CCIS style, see Springer’s Author Instructions.