International Semantic Intelligence Conference (ISIC 2022)

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International Semantic Intelligence Conference
(ISIC 2022)
Georgia Southern University (Armstrong Campus), Savannah, United States: May 17-19, 2022
Download Poster: jpg pdf
Home Dates Calls Registration Publication Program Organization Sister Conference
Important Message on Covid-19 regarding Registration
  1. COVID-19 Instructions: Many areas of the world including the United States are still struggling to deal with COVID-19. The Centres for Disease Control are recommending vaccinations and indoor masking. Kindly produce proof of vaccination during registration, adhere to compulsory indoor masking, and exercise social-distancing.
  2. Reduced Registration Fee for Authors of Developing Countries: If for any paper, more than 50% of the authors are from developing countries, they may avail a discount of flat 40% in the registration fee of their particular category. Hereis the list of Developing Countries. The countries with Human Development Index (HDI) <=0.7 will be considered.
  3. Discounted Remote Participation: We understand that some workplaces are forfeiting the travel allowance, but need not worry as we are planning the discounted remote participation opportunities also made available via online platforms. ISIC 2022 has been decided to happen in hybrid mode with a 40% discount for online presentations.

About the Conference

The International Semantic Intelligence Conference (ISIC) is an international platform for the Artificial Intelligence, Machine Learning and the Semantic Web communities. It 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.
ISIC 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.
Note: There are three tracks and two Best Paper Awards per Track. Each award carries a certificate and a memento.

About the Venue

With almost 27,000 students, approximately 140 different degree programs, three campuses on a single vision of growing others, Georgia Southern University is already moving and ready for more. The historic brick streets or moss-dripping oak trees may make our picturesque campuses seem pristine, but there’s a lot of roll-up-your-sleeves work going on here. Research is focused on community impact. Teaching is focused on the students. And the students are focused on their future.

Georgia Southern University is the state’s largest and most comprehensive center of higher education south of I-20. With programs at the bachelor’s, master’s and doctoral levels, Georgia Southern is a public Carnegie Doctoral/R2 institution with three vibrant campuses — the Statesboro Campus, the Armstrong Campus in Savannah and the Liberty Campus in Hinesville. Georgia Southern’s nationally accredited academic programs include a heavy dose of real-world work so our graduates are ready from the day they graduate. A unit of the University System of Georgia, the University boasts 200-plus student organizations, outstanding Division I athletics and state-of-the art residence halls and campus facilities.

Since 1906, the University’s hallmark has been a culture of engagement that bridges theory with practice, extends the learning environment beyond the classroom and promotes student growth and life success. Central to the University’s mission is the faculty’s dedication to excellence in teaching and the development of a fertile learning environment exemplified by a free exchange of ideas, high academic expectations and individual responsibility for academic achievement. Faculty, staff, and students embrace core values of collaboration, academic excellence, discovery and innovation, integrity, openness and inclusion, and sustainability.

Directions | Armstrong Campus

All weekday campus visits begin at Victor Hall (Office of Admissions), located at 11935 Abercorn Street, Savannah GA, 31419.

Northbound: Travel north on interstate 95 (I-95N). Take exit 94, GA-204, toward Savannah/Pembroke. Turn right onto GA-204 E for 7.3 miles. The Armstrong Campus is on your right and has two entrances onto campus. The second entrance (Arts Drive) is the main entrance to the university. See campus map for specific building locations.

Southbound: Travel south on interstate 95 (I-95S). Take exit 94, GA-204, toward Savannah/Pembroke. Turn left onto GA-204 E for 7.5 miles. The Armstrong Campus is on your right and has two entrances onto campus. The second entrance (Arts Drive) is the main entrance to the university. See campus map for specific building locations.

Eastbound: Travel east on interstate I-16 (I-16E). Take exit 157A onto interstate 95 (I-95S) toward Brunswick/Jacksonville for 5.1 miles. Turn onto GA-204 E for 7.5 miles. The Armstrong Campus is on your right and has two entrances onto campus. The second entrance (Arts Drive) is the main entrance to the university. See campus map for specific building locations.

Traveling by Air?

The Savannah/Hilton Head International Airport connects with 29 daily non-stop flights to 10 major cities. Scheduled airlines include American Eagle, Delta, Delta Connection, United Express, US Airways and US Airways Express. For more information, visit the Savannah International Airport website at http://www.savannahairport.com

Savannah Visitors Information: In case you have any questions about your visit to the campus, please email visit@georgiasouthern.edu or call 912-478-5851.

Speakers

Keynote Speakers

Invited Speakers

Semantic Intelligence: The Next Step in AI
Sarika Jain
National Institute of Technology Kurukshetra, India
Responsible AI for National Security
Amanda Muller
Artificial Intelligence Systems Engineer and Technical Fellow Northrop Grumman Mission Systems

Sponsors

Organizers

        

Technical Sponsors

Editions

Please use the following links for further information on the edition of the given year of the International Semantic Intelligence Conference (ISIC):

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 Anywhere on Earth (AoE):
DeadlineDate
Workshop ProposalsOct 10, 2021 Nov 30, 2021
Workshop Proposals NotificationsOct 20, 2021 Nov 30, 2021
Full length Papers in all tracks of main conferenceDec 31, 2021 Feb 15, 2022
Paper notifications in all tracks of main conferenceJan 31, 2022 March 02, 2022
End of Early Bird Registration for main conferenceFeb 15, 2022 March 15, 2022
Camera-ready submissions in main conferenceFeb 25, 2022 March 15, 2022
Workshop papers submissionDec 30, 2021 March 31, 2022
Workshop papers notificationsJan 20, 2022 April 05, 2022
End of Early Bird Registration for WorkshopsFeb 15, 2022 April 10, 2022
Workshop camera-ready submissionsFeb 25, 2022 April 10, 2022
End of Standard Registration for all eventsMarch 15, 2022 April 15, 2022
Main ConferenceMay 17-19, 2022

Call for Full Length paper

Topics

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...

Tracks

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.

Call for Workshop/Special Session Proposals

The International Semantic Intelligence Conference 2022 (ISIC 2022) 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 pangin@ceng.metu.edu.tr and prateek061186@gmail.com, cc to general chairs (jasarika@nitkkr.ac.in, groppe@ifis.uni-luebeck.de). 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.
Further,
  • 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 2022 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 jasarika@nitkkr.ac.in. We look forward to seeing you at the Conference!

Call For Tutorials

The International Semantic Intelligence Conference 2022 (ISIC 2022) invites proposals for tutorials 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 tutorials are welcome.
The proposals should be in a pdf file of maximum two pages long and to be submitted via email to pangin@ceng.metu.edu.tr and prateek061186@gmail.com, cc to general chairs (jasarika@nitkkr.ac.in, groppe@ifis.uni-luebeck.de). The proposals must include the following:
  • Tutorial title.
  • Abstract,objectives and motivation, a description of the topics that the tutorial will address, emphasizing their timeliness.
  • Intended audience.
  • Name, affiliation, contact information, and a short biography of each tutorial presenter.
  • Tentative schedule and the presenters for different parts.
  • Plans for publicity.
NOTE:Kindly also mention the possibility of and suitability for a virtual presentation of the tutorial.

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 email your interest to the general chairs, in case you are interested.
Important Message on Covid-19 regarding Registration
  1. COVID-19 Instructions: Many areas of the world including the United States are still struggling to deal with COVID-19. The Centres for Disease Control are recommending vaccinations and indoor masking. Kindly produce proof of vaccination during registration, adhere to compulsory indoor masking, and exercise social-distancing.
  2. Reduced Registration Fee for Authors of Developing Countries: If for any paper, more than 50% of the authors are from developing countries, they may avail a discount of flat 40% in the registration fee of their particular category. Hereis the list of Developing Countries. The countries with Human Development Index (HDI) <=0.7 will be considered.
  3. Discounted Remote Participation: We understand that some workplaces are forfeiting the travel allowance, but need not worry as we are planning the discounted remote participation opportunities also made available via online platforms. ISIC 2022 has been decided to happen in hybrid mode with a 40% discount for online presentations.

Registration

Registration TypeEarly Bird
(Till March 15, 2022)		Regular Registration
(Till April 15, 2022)
Industry Professionals750 USD900 USD
Academician650 USD750 USD
Student500 USD650 USD
Participant-Only300 USD300 USD

Important Notes

  1. Registration fees do not include accommodation and travel expenses.
  2. All the fees are exclusive of bank and service charges.
  3. 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.
  4. Our policy for the presentation of more than one papers by the same author is as follows, provided the same author registers himself/herself for all such papers:
        For one paper: 1 registration fee
        For two papers: 1.5 registration fees
        For three papers: 2 registration fees
  5. 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.
  6. Reduced Registration Fee for Authors of Developing Countries: If for any paper, more than 50% of the authors are from developing countries, they may avail a discount of 40% in the registration fee of their particular category.
    Here is the list of Developing Countries. The countries with Human Development Index (HDI) <=0.7 will be considered.
    Note: This discount could be provided to the first 20 registrations from the authors of developing countries.
  7. Important Information for Tutorials:
    Registration Link for the three tutorials: https://forms.gle/8bdbbo93dYWhv6MC7
    Dates of Tutorials: May 14-16, 2022
    Registration Fee for the tutorials (including all the tutorials) is as follows:
    For registered authors of ISIC 2022: No Fee for Tutorials.
    For non-authors: USD 25. The authors from developing countries may avail a discount of 40% on the registration fee for tutorials.
ISIC 2022: Mode of Registration Fee Transfer (ONLINE ONLY)
Beneficiary NameSemantic Intelligence
BankFederal Bank
BranchKurukshetra Haryana, India
A/C No.23050200000063
IFSC CodeFDRL0002305
Swift CodeFDRLINBBIBD
MICR136049002
AddressRailway Rd, opposite Gole Bank, Vishnu Colony, Kurukshetra, Haryana 136118, India
Publication:All accepted and presented papers will be included in proceedings published in Springer LNEE series (already approved). 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: Lecture Notes in Electrical Engineering (LNEE) series by Springer Nature is indexed by EI Compendex and Scopus databases.

At least one author of each accepted paper must register for the conference and present the paper there.

NOTE:The best selected and top-quality papers will be offered the opportunity to extend their work in following journals (more to come), after the journal review and approval and as per the journal policies, terms, and conditions:

1. Information ,an open access Journal from MDPI with a considerable discount of 40% - 100% in APC.Hereis the link to Indexing information.

2. International Journal of Mathematical, Engineering and Management Sciences, an open access Journal,Hereis the link to Indexing information.

3. International Journal of Computers and Their Applications, a peer-reviewed Journal.Hereis the link to Indexing information.

Detailed Program

Video Conference Details

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Sunday, 15th May, 2022

Start 10:00 CESTTutorial 1Sarika Jain, Nandana Mihindukulasooriya
Building Domain-Specific Linked Data Applications
Start 14:00 CESTTutorial 2Manas Gaur, Kaushik Roy
Knowledge Infused Reinforcement Learning for Social Good Applications

Monday, 16th May, 2022

Start 10:00 CESTTutorial 3Dr. Sharanjit Kaur, Ms Kirti Jain, Dr. Vasudha Bhatnagar
Modeling Epidemic dynamics thru contact networks
Start 14:00 CESTTutorial 4Nandana Mihindukulasooriya
Knowledge Base Question Answering

Session 1: Tuesday, May 17, 15:00-17:50 CEST (Chairs: V. Janev, A. Patel)

Start time (CEST)TopicSpeaker
15:00Opening: A. Shalan, V. Janev (chairs)
15:30KeynoteBharat Bhargava
16:30Web Service Credibility Evaluation Methods in Different Application DomainsAtef Mohamed, Jaciel Reyes, Sarika Jain, Mohamed Hefny and Hayden Wimmer.
16:50Learning Novelty via Transfer LearningShafkat Islam and Bharat Bhargava.
17:10Deep Learning-Based Classification of Customer Communications of a German Utility CompanyJinghua Groppe, Rene Schlichting, Sven Groppe and Ralf Möller.
17:30Technologies for AI-Driven Fashion Social Networking Service with E-CommerceJinseok Seol, Seongjae Kim, Sungchan Park, Holim Lim, Hyunsoo Na, Eunyoung Park, Dohee Jung, Soyoung Park, Kangwoo Lee and Sang-Goo Lee
17:50End of Day 1

Session 2: Wednesday, May 18, 10:30-13:10 CEST (Chairs: F. Şentürk, S. N. Mohanty)

Start time (CEST)TopicSpeaker
10:30KeynoteSarika Jain
11:30Web-Based Visualization and Analysis Framework for Graph DataFatmana Şentürk, Mehmet Ali Bilici, Sezercan Tanışman and Vecdi Aytaç
11:50An Integrated Ensemble Prediction Model for Cardio Vascular DiseaseDr. Sirisha Potluri, Dr.Gouse Baig Mohammad, Dr.Suneetha Sathpathy and Dr.Sachi Nandan Mohanty
12:10The Coronavirus Disease Ontology (CovidO)Sumit Sharma, Sarika Jain
12:30Design and Performance Evaluation of a Multi-Patient Health Monitoring SystemSamson Adigun, Ayodeji Salau and Fatima Ujunwa
12:50Knowledge-based Extraction of Cause-Effect Relations from Biomedical TextSachin Pawar, Ravina More, Girish Palshikar, Pushpak Bhattacharyya and Vasudeva Varma
13:10Sign Language Detection Using Machine LearningIlanchezhian Palanisamy

Session 3: Wednesday, May 18, 14:30-17:10 CEST (Chairs: A. Subramanian, P.Gopalakrishnan)

Start time (CEST)TopicSpeaker
14:30KeynoteAmanda Muller
15:30An Ontology for Social Media Data AnalysisSarika Jain, Sumit Dalal, and Mayank Dave
15:50Semantic Web Ontology for Botnet ClassificationOmotola Adekanmbi, Hayden Wimmer and Atef Mohamed
16:10Case studies in building domain specific knowledge graphsFausto Giunchiglia, Simone Bocca and Mauro Dragoni. iTelos
16:30Towards a Solution for an Energy Knowledge GraphDušan Popadić, Enrique Iglesias, Ahmad Sakor, Valentina Janev and Maria-Esther Vidal
16:50Comparative Study of Image Encryption and Image Steganography using Cryptographic Algorithms and Image Evaluation MetricsSurya Teja Chavali
17:10NyOn: A Multilingual Modular Legal Ontology for Representing Court JudgmentsSarika Jain, Pooja Harde, Nandana Mihindukulasooriya
17:30End of Day 2

Session 4: Thursday, May 19, 10:30-14:10 CEST (Chairs: F. H. Juwono, K. Gupta)

Start time (CEST)TopicSpeaker
10:30KeynoteErnesto Jiménez-Ruiz
11:30Internet of Nano, Bio-Nano, Biodegradable and Ingestible Things: A SurveySeyda Senturk, İbrahim Kök and Fatmana Şentürk
11:50An Ethnolinguistic Research Agenda for Intelligent Autonomous SystemsAbhisek Sharma, Sarika Jain, and Bharat Bhargava
12:10Fake News and Hate Speech: A Systematic Review in Ethiopian LanguagesWubetu Barud Demilie, Ayodeji Salau and Shruti Jain
12:30QuantumRNG, A Random Number Generator using one QubitBheemanathy Saketh Chandra
12:50Scrutinize and Discover of Image of Freshwater Taken By Faraway Realizing using FFNN and ConvNet MechanismsIlanchezhian Palanisamy
13:10KeynoteSven Groppe
Closing: A. Shalan, V. Janev (chairs)
14:30End of Day 3

Keynotes and Invited Talks

Keynotes

Applying Knowledge Graphs for Data Analytics and Machine Learning
Dr Ernesto Jiménez-Ruiz (Lecturer, City, University of London)
Abstract: The application of knowledge graphs (KG) is going beyond the original vision of the Semantic Web and KGs are starting to play a key role to organise the enterprise, GLAM, and governmental data, and they are already the backbone in several biomedical applications. Enterprises are also leveraging knowledge graphs to drive their products and make them more “intelligent”. The next steps in AI involve the creation of richer AI systems, i.e., semantically sound, explainable, and reliable. Hybrid learning and reasoning systems combining subsymbolic and symbolic representations are gaining renewed attention, within both the Machine Learning (ML) and Knowledge Representation communities, to lead to the design and creation of such richer AI systems.
Short Biography: Ernesto Jimenez Ruiz is a Lecturer in Artificial Intelligence at City, University of London affiliated to the Research Centers for Machine Learning and Artificial Intelligence. He is also a researcher in the Centre for Scalable Data Access (SIRIUS) at the University of Oslo, Norway. He previously held a Senior Research Associate position at The Alan Turing Institute in London (UK) and a Research Assistant position at the University of Oxford. His home university (Universitat Jaume I, Castellon, Spain) awarded a “Premio extraordinario de doctorado” (roughly translated as a Extraordinary Doctoral Award) to his doctoral thesis (Engineering category 2010-2011). His research has covered several areas, including bio-medical information processing and integration, ontology reuse, ontology versioning and evolution, ontology alignment. His current research interests focus on the application of Semantic Technology to Data Science workflows and the combination of Knowledge Representation and Machine Learning techniques. My complete list of publications can be found here. The PDF of most of the articles are available online.
Detect, Characterize, and Accommodate Novelties in AI systems.
Bharat Bhargava (Purdue University, Indiana, United States)
Abstract: Novelties are surprises that an AI system encounters. It is easier for a human to detect novelties and adjust. An automated and autonomous 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. For example, in a game such as monopoly or chess, the rules of the game can be suddenly changed or players may change their objectives. Players may also collude with other players to achieve an outcome such as draw or extend the game beyond time limit, or make one of the players lose or win. Even though military is trained to deal with different environments before deployments, it can encounter novelties that it must deal with. Example could be an enemy using a motorcycle on a narrow path in high mountains where jeep or trucks can not follow.
System or agents do not need to react to every novelty. Some of them are just nuisance and do not affect the operations. Some novelties are transient and disappear and do not reappear. Some novelties are easy to detect and react to. Some novelties overlap with past novelties and system can easily adapt.
The context, timing, duration, extent, duration of novelty must be considered in agent’s adaption and accommodation. How to build AI/ML system that can adapt to fluid novelties in open world will be presented. We present scientific principles to quantify and characterize novelty in open-world domains. We identify measures and evaluation criterion for behavior of AI system when encountering novelties.
Novelties are found in many environments and agents must learn about them and accommodate them.
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 https://www.cs.purdue.edu/homes/bb/.

Invited Talks

Leveraging Artificial Intelligence and Machine Learning in Pandemics using COVID-19 as a Case Study
Sven Groppe (University of Lübeck, Germany)
Abstract: The COVID-19 pandemic slows down or even often stopped the world’s activities in economy, education, society and other areas of our daily life, but was a huge trigger for research. Smart and hardworking scientists all over the world are still extending the knowledge about the COVID-19 virus and are contributing to various technologies to fight against the COVID-19 pandemic. Continuously newly occurring mutations of the original virus demand for still working on and improving the developed technologies against the pandemic.
This talk covers a short introduction into the effects of the COVID-19 pandemic by naming its winner and losers. Losers of the COVID-19 pandemic include infected humans (suffering more than necessary from overburdened health systems), economy (caused by lockdowns), students (having to catch up with missed topics due to closed schools) and society (suffering from cancelled events). There are also some winners of the COVID-19 pandemic like vaccine developers (with increasing stock price performance), sellers of medical products (increasing their sales) and technologies used to overcome pandemics (the development of which is enormously triggered by funded research).
This talk tries to provide an overview to answer where computers can help in our fight against the pandemic. Many areas and technologies have been identified for this purpose. According to my opinion, the most important technology for a short-time reaction to the COVID-19 virus in medical research is sequencing a genome and analyzing it via supercomputers. One of the most prominent examples for other developed approaches are the predictions of incidence rates and other COVID-19 data (like hospitalization rates) considering COVID-19 confinements and other contexts by computer simulations and machine learning approaches. There is also a need for the management of physical contacts, e.g., at events and restaurants, and apps for personal contact tracking to warn a group of or single persons in the case they have been in contact with an infected person. In order to overcome security risks different approaches for contact tracking have been discussed and developed like mobile operator, location-based and proximity-based contact tracing. Software within health systems has been improved or introduced, e.g. patient registration and status in hospitals, automatically recognizing COVID-19 patients from e.g. their computer tomography scans, and publicly available databases of confirmed COVID-19 cases and other COVID-19 related data, which are the basis for deeper analysis of the COVID-19 pandemics. On the basis of the achieved knowledge about the COVID-19 virus and the effects of the COVID-19 pandemic, a set of COVID-19 knowledge graphs have been released, which provide automatic means for answering related questions and help to structure the information flood of COVID-19 related data. Because of the enormous list of developed and used technologies related to COVID-19, this talk cannot dive into all of them, but will tackle the most important ones to learn for future pandemics.
Short Biography: Sven Groppe is Professor at the University of Lübeck, Germany. He was a member of the DAWG W3C Working Group, which developed SPARQL. He was the project leader of the DFG project LUPOSDATE and two research projects on FPGA acceleration of relational and Semantic Web databases, and is a member of the Hardware Accelerator Research Program by Intel. He is currently the project leader of German Research Foundation projects on GPU accelerated database indices and on Semantic Internet of Things. Furthermore, he is leading a project about quantum computer accelerated database optimizations and he is project partner in a project about COVID-19 high-quality knowledge graphs, visualizations and analysis of the pandemic with 2 french partners. His research interests include Internet of Things, Semantic Web, query and rule processing and optimization, Big Data, Cloud Computing, peer-to-peer (P2P) networks, data visualization and analysis, and visual query languages.
He is the workshop organizer and chair of the Semantic Big Data workshop series (2016 to 2020) in conjunction with ACM SIGMOD. In 2021 and 2022 he organizes the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE) @ SIGMOD and the International Workshop of Internet-of-Things (VLIoT) in conjunction with VLDB since 2017. He is the general chair of the International Semantic Intelligence Conferences in 2021 and 2022.
Updated information are available at https://www.ifis.uni-luebeck.de/~groppe/.
Semantic Intelligence: The Next Step in AI
Sarika Jain (National Institute of Technology Kurukshetra, India)
Abstract: Intelligent agents work autonomously by seeking necessary information, coordinating with each other, and taking necessary actions to make life simple for human beings. There are three information aspects for an intelligent agent: syntax (sentence construction, grammatical correctness), semantics (human-level interaction), and pragmatics (intention behind the communication. An intelligent agent is required to fuse heterogeneous sources of information together for which it should be equipped with both the data-driven (statistical) and knowledge-driven (symbolic) AI disciplines. We need a representation of our data that not only includes the data itself but where the interactions in it is a first-class citizen.
We have seen in the past decade that statistical models have revolutionized the world. Though the Statistical models have already proved themselves, they are not a Universal Solvent but only a tool as others. Deep learning is very good at learning in a static world and executing low-level patterns, provided it is fed with a lot of data. More deep, more intelligent, and of course more black. The question is “Is the AI of today Artificial Super Intelligence (ASI) / Artificial General Intelligence (AGI) / Artificial Narrow Intelligence (ANI)? Is the AI of today the AI that we are craving for?” In fact, today’s artificial intelligence is weak AI. There are a number of instances where DL has produced delusional and unrealistic results. Accuracy alone is not sufficient. We require exploring ways of opening the black box of statistical models. When DL researchers are asked to open the black box, this today implies less intelligent models to them (limited capability). In addition to increased performance, AGI aims to build trust.
Symbolic AI and statistical AI have to go together to achieve contextual computing. The symbolist approach is nowadays manifested as a knowledge graph that advanced statistics and machine learning can run on top of. The Hybrid Model combines machine intelligence with human intelligence to reach conclusions faster than possible by humans alone along with the explanations needed for trust in the decisions and results; while requiring far fewer data samples for training and conversing in natural language. The Hybrid Model is able to generalize and is excellent at perceiving, learning, and reasoning with minimal supervision. In addition, semantics have come a long way in enhancing explainability in AI systems.
Short Biography: Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra (Institute of National Importance), India.
Dr. Jain’s major research interests include Artificial Intelligence, the Semantic Web, Ontological Engineering, and Knowledge Graphs. She has received grants from Defense Research and Development Organization, Department of Science and Technology, Council of Scientific and Industrial Research for research, and National Institute of Technology Kurukshetra for research projects; from All India Council for Technical Education (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and Ministry of Human Resource and Development (twice) for hosting a reputed international faculty and for FDP. She has published over one hundred peer-reviewed technical papers in books, journals, and conference proceedings. She has served as a General Chair, Workshop Chair, Program Committee Chair at many international conferences and workshops; and Reviewer for journals published by IEEE, Elsevier, and Springer.
She has held various administrative positions at the department and institute levels in her career. Among the awards and honors, she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019. Dr. Jain works in collaboration with various researchers across the globe, including in Germany, Australia, Malaysia, the United States, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of CSI.
Updated information are available at https://sites.google.com/view/nitkkrsarikajain/.
Responsible AI for National Security
Amanda Muller (Artificial Intelligence Systems Engineer and Technical Fellow Northrop Grumman Mission Systems)
Abstract: Human-machine teaming is a critical consideration for ensuring the successful implementation of semantic technologies. Without consideration for the human element of an Artificial Intelligence or Machine Learning-enabled system, performance will suffer, or worse—the system simply will not be used. AI ethical frameworks can be leveraged as an enabler of human-machine teaming by certifying that systems are developed in line with human values. Ethical frameworks such as the U.S. Department of Defense’s Five Ethical Principles of AI contain the necessary guidelines to ensure that AI systems are interpretable, governable, and usable by humans. However, there is no one-size-fits-all ethical framework—the right framework must be carefully selected based on the use case in question, the risk profile, and applicable laws and regulations. This presentation will examine the use of ethical frameworks as an enabler of human-machine teaming in AI, and the factors to consider when choosing the right one for a particular use case.
Short Biography: Dr. Amanda Muller is a Consulting Artificial Intelligence (AI) Systems Engineer and Technical Fellow Emeritus based in Northern Virginia. Dr. Muller currently serves as the Responsible AI Lead for Northrop Grumman. In this role, she is responsible for coordinating the strategy, policy, and governance efforts related to Artificial Intelligence across the Northrop Grumman enterprise. As a Mission Systems Technical Fellow Emeritus specializing in User Experience and Human-Systems Integration, she also serves as a subject matter expert on proposals, program reviews, and research efforts. Prior to her current role, Dr. Muller worked for Northrop Grumman Space Systems in Redondo Beach, California, as a Systems Engineer. She led the User Experience teams for several restricted space programs, conducting user research in operational environments around the world. Previously, Dr. Muller served as a Systems Engineer on State Health and Human Services programs, as a Human Factors Engineer in Aurora, Colorado, and as the Human-Systems Integration lead for airborne platforms in Melbourne, Florida. In addition to her program roles, Dr. Muller has been a mentor in the Mentoring the Technical Professional program for over seven years.
Dr. Muller’s publications include a book chapter in Emerging Trends in Systems Engineering Leadership: Practical Research from Women Leaders (in press), and peer-reviewed articles in Information Fusion, Journal of Defense Modeling and Simulation, WSEAS Transactions on Advances in Engineering Education, and the Annals of Biomedical Engineering.
Dr. Muller holds a Ph.D. in Engineering from Wright State University in Dayton, Ohio, and B.S. and M.S. degrees in Biomedical Engineering from Worcester Polytechnic Institute in Worcester, Massachusetts. She also holds a graduate certificate in Design Thinking for Strategic Innovation from Stanford University. Dr. Muller is a Certified Systems Engineering Professional (INCOSE), Professional Scrum Master (Scrum.org), and is certified in Professional Scrum with User Experience (Scrum.org).

Workshops and Tutorials

Fifth Workshop on Semantic Intelligence: Building Domain-Specific Linked Data Applications
Presenters
Sarika Jain, National Institute of Technology Kurukshetra, India
Short Biography: Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra (Institute of National Importance), India.
Dr. Jain’s major research interests include Artificial Intelligence, the Semantic Web, Ontological Engineering, and Knowledge Graphs. She has received grants from Defense Research and Development Organization, Department of Science and Technology, Council of Scientific and Industrial Research for research, and National Institute of Technology Kurukshetra for research projects; from All India Council for Technical Education (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and Ministry of Human Resource and Development (twice) for hosting a reputed international faculty and for FDP. She has published over one hundred peer-reviewed technical papers in books, journals, and conference proceedings. She has served as a General Chair, Workshop Chair, Program Committee Chair at many international conferences and workshops; and Reviewer for journals published by IEEE, Elsevier, and Springer.
She has held various administrative positions at the department and institute levels in her career. Among the awards and honors, she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019. Dr. Jain works in collaboration with various researchers across the globe, including in Germany, Australia, Malaysia, the United States, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of CSI.
Description of the Workshop
Traditional data techniques and platforms do not prove to be efficient because of issues concerning responsiveness, flexibility, performance, uncertainty, heterogeneity, scalability, accuracy, and more. This data is understandable by humans and is really not amenable for machine processing. Semantic Web and Linked Data technologies have been found as the most important ingredient in building artificially intelligent knowledge-based systems. This workshop is an attempt to establish in the participants the importance of using semantic data models by integrating the full potential of existing approaches, tools, techniques, methodology to provide situation awareness and advisory support in a seamless manner.
Key features
This workshop is unique in several respects:
  • This workshop is the fifth workshop in its series and is well planned. It will discuss what is going on in knowledge-based systems research and bring it in an easy-to-understand manner for the non-experts in computer science.
  • It provides full hands-on training on the state-of-the-art techniques to develop Linked Data Applications and publish them on the web.
  • The graduate and undergraduate students doing courses in Artificial Intelligence, Semantic Web, Knowledge Engineering, and decision support systems can benefit themselves from this workshop.
  • After attending this workshop, a novice in the field of computer science can get hands-on to how to utilize semantic web technologies for real-world problems.
  • This workshop will be useful for various categories of users:
    • senior undergraduate and graduate students
    • for academicians and researchers
    • practitioners in all application domains
Knowledge Base Question Answering
Presenters
Nandana Mihindukulasooriya, MIT-IBM Watson AI Lab, Cambridge, USA
Short Biography: Nandana Mihindukulasooriya is a researcher at MIT-IBM Watson AI Lab, Cambridge, USA. He holds a Ph.D. in Artificial Intelligence from Universidad Politécnica de Madrid (UPM), Spain, double Masters from UPM, Spain / Blekinge Institute of Technology, Sweden, and B.Sc. (Hons) from the University of Moratuwa, Sri Lanka. Nandana’s research interests include Neuro-Symbolic AI, Knowledge Representation and Reasoning, Semantic Web, Natural Language Processing, and Question Answering. Nandana has published more than 60 peer-reviewed papers in prestigious journals, conferences, and workshops in the areas of AI and Semantic Web. Nandana has been a core member of several European and Spanish research and innovation projects and standardization activities at the World Wide Web Consortium (W3C). He has more than 15 years of experience in industry and academia and is a senior member of IEEE.
Description of the Tutorial
Knowledge Base Question Answering (KBQA) is the task of providing precise answers to natural language questions using facts in a knowledge base and it has been an important research topic since the early days of AI. KBQA systems have been using many different approaches from rule-based expert systems to end-to-end deep learning-based systems and more recently Neuro-Symbolic approaches. KBQA also has several closely related subtasks such as entity linking, relation linking, answer type prediction. In this talk, we will discuss the KBQA task, its challenges, different reasoning types needed for question answering, and different subtasks involved in KBQA. We will also look at different benchmarks for evaluating the KBQA task.
Knowledge Infused Reinforcement Learning for Social Good Applications
Presenters
Manas Gaur, Kaushik Roy
Short Biography: MANAS GAUR is a Ph.D. Student at AIISC. He has been Data Science and AI for Social Good Fellow with the University of Chicago and Dataminr Inc. His interdisciplinary research funded by NIH and NSF operationalizes the use of knowledge graphs, machine learning, and natural language understanding to solve social good problems in the domain of Mental Health, Cyber Social Harms, and Crisis Response. His work has appeared in premier AI and Data Science conferences (CIKM, WWW, AAAI, CSCW), journals in science (PLOS One, Springer-Nature, IEEE Internet Computing), and healthcare-specific meetings (NIMH MHSR, AMIA). They have published papers on Knowledge Infused Reinforcement Learning (KiRL) at top conference venues (AAAI ([PDF] from arxiv.org), ECML (https://link.springer.com/chapter/10.1007/978-3-030-86486-6_3)).

KAUSHIK ROY is currently working towards a Ph.D. degree advised by Prof. Sheth at the Artificial Intelligence Institute, University of South Carolina focusing on AI algorithms used in health, social media analysis, and recommendation systems. The focus of his research has been infusing Knowledge into sequential decision-making problems within the Reinforcement Learning and Contextual Bandits settings. They have published papers on Knowledge Infused Reinforcement Learning (KiRL) at top conference venues (AAAI ([PDF] from arxiv.org), ECML (https://link.springer.com/chapter/10.1007/978-3-030-86486-6_3)).

Contact him at kaushikr@email.sc.edu.
Description of the Tutorial
Reinforcement Learning (RL) is a popular framework to control a sequential decision-making process using rewards or reinforcement. Though optimizing a goal-directed reward is suitable for many real-world applications, the emergence of big data has led to highly data-driven and black-box algorithms. However, in social good applications, well-defined domain knowledge and procedural information are critical to human decision-making that should be incorporated in the reward. Furthermore, the significant discrepancy between black-box decision-making and human-like decision-making limits effective communication to facilitate the seamless incorporation of data-driven and human-provided rewards. In this study, we develop extit{Knowledge Infused Reinforcement Learning} (KiRL) that addresses the above challenges. We test our approach on benchmark datasets and real-world applications - specifically for Contagion Control and Mental Health Triaging. We illustrate the qualitative and quantitative efficiency of transparent, explainable methods that provide knowledge-guided, safe, and transparent mechanisms for effective interaction between human domain experts, users, and RL algorithms. Thus, this tutorial will establish the usefulness of KiRL as a much-needed technological assistance tool for real-world social good applications.

Special Sessions

2nd Special Session on Advances in Computational Intelligence (ACI 2021)
Chairs
Dr. Prateek Agrawal, Associate Professor, Lovely Professional University, Punjab
Dr. Charu Gupta, Assistant Professor, Bhagwan Parshuram Institute of Technology, Delhi
Prof. Vishu Madaan, Assistant Professor, Lovely Professional University, Punjab
Website: https://sites.google.com/view/aci-2022/home
Submission Link: https://easychair.org/conferences/?conf=aci2022
Emerging Trends in Digital Humanities (ETDH 2022)
Chairs
Prof (Dr.) Deepshikha Kalra, Dean, MERI College, New Delhi, India
Dr Sree Ganesh Thottempudi, Professor, SRH University, Germany
Prof Ritu Aggarwal, HOD Computer Science, MERI College, India
Submission Link: https://easychair.org/conferences/?conf=etdh2022
2nd Special Session on Intelligent Systems for Semantic Web Mining (ISSWM 2022)
Chairs
Dr. R. N Satpathy, Dean FET, FoS, SRI SRI University, Cuttack, Odisha
Dr. Sachi Nandan Mohanty, College of Engineering Pune, Pune
Dr. Suneeta Satpathy, FET, SRI SRI University, Cuttack, Odisha
Submission Link: https://easychair.org/conferences/?conf=isswm2022
2nd Special Session on Semantic AI towards Industry 4.0 (SAII 2022)
Chairs
Dr. Shridevi.S, Associate Professor-Grade 2, Vellore Institute of Technology, Chennai, India.
Dr. Prasanalakshmi B, Assistant Professor, King Khalid University, Saudi Arabia
Dr. Thavavel.V, Assistant Professor, Prince Sattam bin Abdulaziz University, Saudi Arabia
Submission Link: https://easychair.org/conferences/?conf=saii2022
2nd International workshop of Intelligent Internet of Things and applications (AIoT 2022)
Chairs
Prof. Richard CHBEIR, Full Professor in Computer Science, University Pau & Pays de l'Adour Anglet, 64600, France. Email: rchbeir@acm.org,richard.chbeir@univ-pau.fr
Dr. Salma Sassi, Associate Professor in Computer Science, University of Jendouba, Jendouba, 8100, Tunisia. Email: salma.sassi@fsjegj.rnu.tn
Dr. Anis Tissaoui, Associate Professor in Computer Science, University of Jendouba, Jendouba, 8100, Tunisia. Email: anis.tissaoui@fsjegj.rnu.tn
Submission Link: https://easychair.org/conferences/?conf=aiot2022
Cyber-Physical Big Data Systems (CPBDS 2022)
Chairs
Prof. (Dr.) G. Prakash, CSE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India. Email: g_prakash@blr.amrita.edu
Prof. (Dr.) R. Jaya, CSE, New Horizon College of Engineering, Bengaluru, India. Email: jayar@newhorizonindia.edu
Prof. (Dr.) Thirukkumaran R., CSE, New Horizon College of Engineering, Bengaluru, India. Email: dr.thirukkumaranr@newhorizonindia.edu
Submission Link: https://easychair.org/conferences/?conf=sicphbs22
Geospatial Intelligence: Semantics and Information Modelling (GISAIM 2022)
Chairs
Gitanjali Ganpatrao Nikam, NIT Kurukshetra, India.
Email: gitanjalichalak@gmail.com
Deepti Soni, Lead Data Scientist, Mastech Infotrellis, USA
Email: deepti.soni11@gmail.com
Website: https://sites.google.com/view/gisaim2022
Submission Link: https://easychair.org/conferences/?conf=gisaim2022

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
Bharat Bhargava
Purdue University, Indiana, United States

General Chairs

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

https://sites.google.com/site/nitkkrsarikajain
Sven Groppe
University of Lübeck, Germany

http://www.ifis.uni-luebeck.de/~groppe/

Track PC Chairs

Valentina Janev
The Mihajlo Pupin Institute, Belgrade, Serbia
Manas Gaur
Artificial Intelligence Institute, University of South Carolina, Columbia, United States

https://manasgaur.github.io/
Asha Subramanian
Founder and CEO, Semantic Web India, Bengaluru, India

https://www.semanticwebindia.com/Aboutus.html

Organizing Chairs

Atef Mohamed (Shalan)
Allen E. Paulson College of Engineering and Computing, Georgia Southern University, United States
Hossain Shahriar
Associate Professor, BSIT/BASIT Coordinator, College of Computing and Software Engineering; Director of Research and Graduate Education, Institute for Cybersecurity Workforce Development, Marietta, GA 30060, United States

https://msit.kennesaw.edu/current-students/faculty.php

Workshops and Special Sessions Chairs

Pelin Angin
Middle East Technical University, Ankara, Turkey

https://user.ceng.metu.edu.tr/~pangin/
Prateek Agrawal
Associate Professor, Lovely Professional University, India

http://www.itec.aau.at/~prateek/

Publication Chairs

Jyotir Moy Chatterjee
Assistant Professor (IT) Lord Buddha Education Foundation (Asia Pacific University of Technology and Innovation), Kathmandu, Nepal

https://sites.google.com/view/jyotirmoychatterjee
Sachi Nandan Mohanty
Department of Computer science & Engeenering, ICFAITech, ICFAI Foundation for Higher Education, Hyderabad, India

http://drsachinandan.com/

Publicity Chairs

Md Rafiqul Islam
University of Technology Sydney, Australia

https://rafiqulislamcse24.wixsite.com/rafiqulcse

Website Chairs

Mohamed Hamada
Senior Associate Professor The University of Aizu, Japan

http://www.u-aizu.ac.jp/~hamada/
Ahmed A. Elngar
Assistant Professor, Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt

https://bsu-eg.academia.edu/AhmedElngar

Program Committee

  • Kumar Abhishek, NIT Patna
  • Moussa ABOUBAKAR, LIST, Communicating Systems Laboratory, France
  • Prateek Agrawal, University of Klagenfurt, Austria
  • Nesar Ahmad, AMU, Aligarh
  • Tameem Ahmad, Aligarh Muslim University, Aligarh
  • Syed Ahmed, Aligarh Muslim University
  • Pelin Angin, Middle East Technical University, Turkey
  • Valentina Emilia Balas, Aurel Vlaicu University of Arad, Romania
  • Shajulin Benedict, IIIT Kottayam, India
  • Bharat Bhargava, Purdue University, United States
  • Amit Bhatia, Senior Principal Research Scientist, BAE Systems Inc, FAST Labs, NC, United States
  • Suparna Biswas, Maulana Abul Kalam Azad University of Technology, West Bengal, India
  • Rajkumar Buyya, The University of Melbourne, Australia
  • Joel Luís Carbonera, UFRGS (Federal University of Rio Grande do Sul), Brazil
  • Jyotir Moy Chatterjee, Lord Buddha Education Foundation, Kathmandu, Nepal
  • Pethuru Raj, Reliance Jio Infocomm Ltd, Tamil Nadu, India
  • Chandreyee Chowdhury, Jadavpur University, India
  • Neama Abdulaziz Dahan, Sana'a University, Yemen
  • Olawande Daramola, Cape Peninsula University of Technology, South Africa
  • Gerard Deepak, Sr. Research Scholar, NIT Tiruchirappalli, India
  • Ajantha Devi, AP3 Solutions, Chennai, India
  • Abderrahim El Qadi, Mohammed V University in Rabat Morocco
  • Moawia Elfaki Yahia Eldow, University of Khartoum, Sudan
  • Ahmed Elngar, Beni-Suef University, Egypt
  • Nafees Farooqui, Dehradun Institute of Technology, Uttarakhand, India
  • Xiao-Zhi Gao, University of Eastern Finland, Finland
  • Shankey Garg, National Institute of Technology Raipur, India
  • Vinay Gautam, Chitkara Univrsity, India
  • Sachin Sharma, Manav Rachna International Institute of Research and Studies, Faridabad, India
  • Hiranmay Ghosh, Ex-Advisor, TCS Research
  • Prakash Gopalakrishnan, Amrita Vishwa Vidyapeetham
  • Vikas Goyal, Education Department, Haryana, India
  • Sven Groppe, University of Lubeck, Germany
  • Le Gruenwald, The University of Oklahoma, United States
  • Charu Gupta, Indraprastha University, India
  • Kapil Gupta, NIT Kurukshetra
  • Mohamed Hamada, Aizu University, Japan
  • Xavierlal J Mattam, Sacred Heart College, Kerala, India
  • Priti Jagwani, Ram Lal Anand College
  • Amit Jain, Sir Padampat Singhania University, Udaipur, India
  • Sarika Jain, National Institute of Technology, Kurukshetra
  • Valentina Janev, The Mihajlo Pupin Institute, Belgrade, Serbia
  • Yiming Ji, Georgia Southern University, United States
  • Filbert H. Juwono, Lecturer, Dept. of. Electrical and Computer Eng., Curtin University Malaysia
  • Arpan Kar, Indian Institute of Technology Delhi, India
  • Subodh Kesharwani, IGNOU, Delhi, India
  • Laszlo T. Koczy, Budapest university of technology and economics, Hungary
  • Petr Kremen, Czech Technical University in Prague, Czechia
  • Naresh Kumar, IIT Roorkee, India
  • Kamlesh Kumari, UIET, Kurukshetra University, India
  • Naziha Laaz, Université Ibn Tofail, Kenitra, Morocco
  • Shilpa S. Laddha, Govt. College of Engg, Aurangabad, Maharashtra, India
  • Vishal Lama, Amdocs, Pune, India
  • Aadil Ahmad Lawaye, BGSB University, India
  • Dac-Nhuong Le, Haiphong University, Haiphong, Vietnam
  • Ravi Lourdusamy, Sacred Heart College(Autonomous), Tirupattur, Vellore, Tamil Nadu, India
  • Yang Lu, University of Kent, United Kingdom
  • Niranjanamurthy M, MS Ramaiah Institute of Technology, Bangalore
  • Aaisha Makkar, Thapar University, India
  • Sonika Malik, MSIT, New Delhi, India
  • Monika Mangla, CSED, LTCoE, Navi Mumbai
  • Ganapathy Mani, Purdue University, United States
  • Nikolaos Mavridis, United Arab Emirates Universit, United Arab Emirates
  • A. Medina-Santiago, National Institute of Astrophysics, Optics and Electronics, Mexico
  • Nandana Mihindukulasoor, IBM Research AI, India
  • Sanjay Misra, Covenant University, Ota, Nigeria
  • Ruchi Mittal, Netaji Subhas Institute of Technology, India
  • SachiNandan Mohanty, ICFAI Foundation for Higher Education, Hyderabad, India
  • Michael Mrissa, University of Primorska, Slovenia
  • San Murugesan, BRITE Professional Services, Sydney, Australia
  • Gagandeep Singh Narula, Guru Gobind Singh Indraprastha University, India
  • Shahrul Azman Noah, Universiti Kebangsaan Malaysia
  • Kingsley A. Ogudo, University of Johannesburg, South Africa
  • Shanmugaraja P, Sona College of Technology, Salem, Tamil Nadu, India
  • Jyoti Pareek, Professor in Computer Science, Gujarat Univetsity, India
  • Nenad Petrovic, University of Nis, Serbia
  • Prajoy Podder, Bangladesh University of Engineering and Technology, Bangladesh
  • Shivika Prasanna, University of Missouri - Columbia, United States
  • Iurii Prokopchuk, National Academy of Sciences of Ukraine, Ukraine
  • Dana Rad, Aurel Vlaicu University of Arad, Romania
  • Suja Radha, VIT University
  • Ripal D Ranpara, Atmiya University, India
  • Regina Reine, Curtin University, Malaysia
  • Aleksei Rozhnov, Institute of Control Sciences, Moscow, Russia
  • Shridevi. S, Vellore Institute of Technology, India
  • Ayodeji Salau, AfeBabalola University, Ado-Ekiti, Nigeria
  • Neetu Sardana, Jaypee Institute of Information Technology, Noida, India
  • Salma Sassi, University of Jendouba, Tunisia
  • Suneeta Satpathy, BPUT, India
  • Sharad Saxena, Thapar University, India
  • K Kalaiselvi, Vels Institute of Science, Technology & Advanced Studies, Chennai, India
  • Fatmana Senturk, Pamukkale University, Turkey
  • Hossain Shahriar, Kennesaw State University, Georgia, United States
  • Atef Shalan, Georgia Southern University, Georgia, United States
  • Sachin Gengaje, WIT, Solapur
  • Sudhir Kumar Sharma, IITM Janakpuri, GGSIPU Delhi, India
  • Cogan Shimizu, DAGSI Fellow and Instructor, Data Semantics Lab, Wright State University, United States
  • Zee Ang Sim, Curtin University, Malaysia
  • Pranav K Singh, Department of CSE, CIT Kokrajhar, India
  • Sushil Kumar Singh, Seoul National University of Science and Technology, South Korea
  • Vikram Singh, NIT Kurukshetra, India
  • Karen Smiley, Senior Technology Development Manager, BAE Systems Inc, FAST Labs, United States
  • Konstantinos Sofianos, Ionian University, Corfu, Greece
  • Rituraj Soni, Engineering College Bikaner, India
  • Sandeep Sood, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
  • Srinath Srinivasa, Web Science Lab, IIIT-Bangalore, Bengaluru, India
  • Sweta Srivastava, Amity University-Noida, India
  • Jon Stammers, University of Sheffield, England, United Kingdom
  • Asha Subramanian, Semantic Web India Private Limited, Bengaluru, India
  • Muhammad Imran Tariq, Superior University, Lahore, Pakistan
  • Mohseena Thaseen, NES Science College, Maharashtra, India
  • Sree Ganesh Thottempudi, University of Heidelberg and BBAW, Germany
  • Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico
  • Ted Tschang, Singapore Management University, Singapore
  • Olegs Verhodubs, Training center SIA DRMC, Latvia
  • Pawan Kumar Verma, GLA University, India
  • Benjamin Warnke, University of Lubeck, Germany
  • Wong Wei Kitt, Curtin University, Malaysia
  • Kai Wussow, SAP SE, Germany
  • Asmita Yadav, Jaypee Institute of Information Technology- Noida, India
  • Chandra Shekhar Yadav, STQC, MeitY, India
  • Anatoliy Zabrovski, University of Klagenfurt, Austria
 International Healthcare Informatics Conference (IHIC 2022) is an annual international conference started this year looking at the increasing health concerns due to the COVID-19 pandemic. This is a sister conference of the International Semantic Intelligence Conference (ISIC 2022). IHIC 2022 will be held during May 17-19, 2022 in hybrid mode at Sri Sri University, Cuttack, Odisha, India.

   The COVID-19 pandemic has hit all the industry verticals ranging from Banking, Financial Services and Insurance (BFSI), government and defense, healthcare, manufacturing, retail, media & entertainment, transportation, energy & utilities and others (travel & hospitality and oil & gas). All these listed organizations make use of Information Technology (IT) in one way or the other. The health industry also utilizes the complete tech-space in order to facilitate the required services. The International Healthcare Informatics Conference (IHIC 2022) offers the healthcare industry the means to stay ahead of the emerging threats to the well-being of humans. It provides a platform to the students, academicians, researchers, scientists, engineers and industrial experts to share their knowledge and ideas in this field with the wider community for the benefit of mankind.