Call for Full Length paper

Topics

Tracks

1. The Research Track

2. The Trends and Perspectives Track

3. The Applications and Deployment Track

Submission Guidelines

• 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.
• Submission link: https://easychair.org/conferences/?conf=isic2021.
• Here are the Microsoft Word Proceedings Template and the Latex Proceedings Template.

Call for Workshop/Special Session Proposals

Call for Technical Program Committee

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

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.

Venue

Detailed Program

Timezone and Video Conference Details

Thursday, 25th Feb, 2021

Friday, 26th Feb, 2021

Saturday, 27th Feb, 2021

Keynotes and Invited Talks

Keynotes

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 http://eecs.qmul.ac.uk/~gyorgyf/research.html.

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

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.

Updated information are available at https://www.cs.purdue.edu/news/articles/2019/bhargava-realm-ng.html.

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 https://www.cs.purdue.edu/homes/bb/.

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 (https://opencems.sigappfr.org/). 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.

Updated information are available at https://scholar.google.co.in/citations?hl=en&user=Fo6f9hkAAAAJ.

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 https://arpankar.com/.

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 http://rhizomik.net/html/~roberto/.

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).

Updated information are available at https://scholar.google.com/citations?hl=en&user=AFjvjTgAAAAJ.

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.

Updated information are available at https://scholar.google.com/citations?user=PckUVJsAAAAJ&hl=en&oi=ao.

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 https://sites.google.com/site/bhattacharyadevanjan/home.

Workshops and Tutorials

Special Sessions

General Chairs

Sarika Jain National Institute of Technology, Kurukshetra, Haryana, India jasarika@nitkkr.ac.in https://sites.google.com/site/nitkkrsarikajain

Sven Groppe University of Lübeck, Germany groppe@ifis.uni-luebeck.de http://www.ifis.uni-luebeck.de/~groppe/

Advisory Committee

Rajkumar Buyya CLOUDS Lab, School of Computing and Information Systems, The University of Melbourne, Australia rbuyya@unimelb.edu.au

Gurdeep Singh Hura University of Maryland Eastern Shore, USA gshura@umes.edu

Valentina Emilia Balas Aurel Vlaicu University of Arad, Romania balas@drbalas.ro

Radu A Prodan University of Klagenfurt, Austria radu@itec.aau.at

Organizing Chairs

Lalit Aggarwal MERI Education and Research Institute, Delhi, India lalit.aggarwal@meri.edu.in

Organizing Secretary

Deepshikha Kalra MERI Education and Research Institute, Delhi, India deepshikha.kalra@meri.edu.in http://meri.edu.in/meri/?facstaff=mrs-deepshikha-ka

Ritu Aggrawal MERI Education and Research Institute, Delhi, India ritu.aggrawal@meri.edu.in http://meri.edu.in/meri/?facstaff=ritu-aggrawal

Track Chairs

Research Track

Shahrul Azman Mohd Noah CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia shahrul@ukm.edu.my

Prateek Agrawal Post-Doctoral Researcher, University of Klagenfurt, Austria | Associate Professor, Lovely Professional University, India prateek061186@gmail.com http://www.itec.aau.at/~prateek/

The Trends and Perspectives Track

Petr Kremen Department of Computer Science Czech Technical University in Prague, Czech Republic kremep1@fel.cvut.cz https://scholar.google.com/citations?user=KgML4qAAAAAJ&hl=en

Archana Patel Post-Doctoral Researcher, Freie Universität, Berlin, Germany archana.patel@fu-berlin.de https://www.mi.fu-berlin.de/en/inf/groups/hcc/members/postdocs/patel.html

Applications and Deployment Track

Kumar Abhishek National Institute of Technology, Patna kumar.abhishek@nitp.ac.in http://www.nitp.ac.in/php/faculty_profile.php?id=kumar.abhishek@nitp.ac.in

San Murugesan Adjunct Professor, Western Sydney University, Australia san1@internode.net https://sites.google.com/site/san1profile/

Workshops and Special Sessions Chairs

Mohamed Hamada Senior Associate Professor The University of Aizu, Japan Hamada@u-aizu.ac.jp http://www.u-aizu.ac.jp/~hamada/

Ankita Jain Bansal Assistant Professor NetajiSubhas University of Technology Delhi, India ankita.bansal06@gmail.com http://www.nsit.ac.in/faculty/ank/

Publication Chairs

Jyotir Moy Chatterjee Assistant Professor (IT) Lord Buddha Education Foundation (Asia Pacific University of Technology and Innovation), Kathmandu, Nepal jyotirchatterjee@gmail.com https://sites.google.com/view/jyotirmoychatterjee

Sachi Nandan Mohanty Department of Computer science & Engeenering, ICFAITech, ICFAI Foundation for Higher Education, Hyderabad, India sachinandan09@gmail.com http://drsachinandan.com/

Website Chairs

Kapil National Institute of Technology Kurukshetra, Haryana kapil@nitkkr.ac.in https://sites.google.com/site/mcanitkuru/

Ahmed A. Elngar Assistant Professor, Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt elngar_7@yahoo.co.uk https://bsu-eg.academia.edu/AhmedElngar

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

• 2021
• 2022

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

Aims and Scope

Guest Editors

Gurdeep Singh Hura University of Maryland Eastern Shore, USA gshura@umes.edu

Sven Groppe University of Lübeck, Germany groppe@ifis.uni-luebeck.de http://www.ifis.uni-luebeck.de/~groppe/

Sarika Jain National Institute of Technology, Kurukshetra, Haryana, India jasarika@nitkkr.ac.in https://sites.google.com/site/nitkkrsarikajain

Le Gruenwald University of Oklahoma, USA ggruenwald@ou.edu http://www.ou.edu/coe/cs/people/gruenwald

Deadlines

Submission Guidelines

• 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.
• Submission link: https://easychair.org/conferences/?conf=aige2021.
• Here are the Microsoft Word Proceedings Template and the Latex Proceedings Template.