Program Schedule (Zoom Link)
Keynote Speakers
Topic: On the potential of sustainable software solutions in smart manufacturing environments
Speaker: Simon Paasche
Email: Simon.Paasche@de.bosch.com
Brief Bio: Simon Paasche is a researcher in the Automotive Electronics unit at Robert Bosch Elektronik GmbH in Salzgitter. At Bosch, Mr. Paasche is responsible for sustainable and green software development approaches. Together with Prof. Dr. Sven Groppe from the University of Liibeck, Mr. Paasche researches on topics related to semantic and non-semantic methods for stream-based data valida- tion and process optimizations in smart manufacturing scenarios. The research concepts are tested on real manufacturing lines in Bosch environment.
Brief Bio: Simon Paasche is a researcher in the Automotive Electronics unit at Robert Bosch Elektronik GmbH in Salzgitter. At Bosch, Mr. Paasche is responsible for sustainable and green software development approaches. Together with Prof. Dr. Sven Groppe from the University of Liibeck, Mr. Paasche researches on topics related to semantic and non-semantic methods for stream-based data valida- tion and process optimizations in smart manufacturing scenarios. The research concepts are tested on real manufacturing lines in Bosch environment.
Topic: Intelligent Technological Developments in Health Sciences and Practical Research Challenges
Speaker: Dr. Narayan C. Debnath
Email: narayan.debnath@eiu.edu.vn
Brief Bio: Professor Dr. Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology at Eastern International University, Vietnam, where he joined in 2018. He is also serving as the Head of the Department of Software Engineering at Eastern International University, Vietnam. Formerly, Dr. Debnath served as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years, and the elected Chairperson of the Computer Science Department at Winona State University, USA for 7 years. Dr. Debnath is currently the Director of the International Society for Computers and their Applications (ISCA), USA since 2014, and also served as the ISCA past President for 2 separate terms (2005-2007 and 2011-2013).. He has made original research contributions in Software Engineering, Artificial Intelligence and applications, and Information Science, Technology and Engineering. Dr. Debnath is an author or co-author of over 500 research paper publications in numerous refereed journals and conference proceedings in Computer Science, Information Science, Information Technology, System Sciences, Mathematics, and Electrical Engineering. He is also an author of over 15 edited books published by well-known international publishers including Elsevier, CRC, Wiley, Bentham Science, River Publishing, and Springer.
Brief Bio: Professor Dr. Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology at Eastern International University, Vietnam, where he joined in 2018. He is also serving as the Head of the Department of Software Engineering at Eastern International University, Vietnam. Formerly, Dr. Debnath served as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years, and the elected Chairperson of the Computer Science Department at Winona State University, USA for 7 years. Dr. Debnath is currently the Director of the International Society for Computers and their Applications (ISCA), USA since 2014, and also served as the ISCA past President for 2 separate terms (2005-2007 and 2011-2013).. He has made original research contributions in Software Engineering, Artificial Intelligence and applications, and Information Science, Technology and Engineering. Dr. Debnath is an author or co-author of over 500 research paper publications in numerous refereed journals and conference proceedings in Computer Science, Information Science, Information Technology, System Sciences, Mathematics, and Electrical Engineering. He is also an author of over 15 edited books published by well-known international publishers including Elsevier, CRC, Wiley, Bentham Science, River Publishing, and Springer.
Speaker:Dr. Fuhua (Oscar) Lin
Topic: Adaptive Learning: Teaching in Accordance with Students’ Aptitude
Brief Bio: Fuhua is Professor of Computing and Information Systems, Athabasca University, Canada. Prior to working in Athabasca University, Dr. Lin was a research associate of Institute for Information Technology of National Research Council (NRC) of Canada. Dr. Lin did post-doc research at University of Calgary. Dr. Lin severed as the Co-Editor-In-Chief of International Journal of Distance Education Technologies (IJDET) during 2010-2011, and the Editor-In-Chief of International Journal of Distance Education Technologies (IJDET) during 2012-2013. He is the editor of book “Designing Distributed Learning Environments with Intelligent Software Agents” published by Information Science Publishing. Furthermore, he has acted as Principal and co-Principal Investigator on more than 12 funded research including two NSERC Discovery Grants, one CFI of Canada, two research grants from Ministry of Education of China, others funding from Athabasca University and South China University of Technology of China. Dr. Lin’s current main research interests include Algorithms, Algorithm Visualization for online learning, Mechanism Design, Bioinformatics, AI, Machine Learning, and Game-based Learning.
Brief Bio: Fuhua is Professor of Computing and Information Systems, Athabasca University, Canada. Prior to working in Athabasca University, Dr. Lin was a research associate of Institute for Information Technology of National Research Council (NRC) of Canada. Dr. Lin did post-doc research at University of Calgary. Dr. Lin severed as the Co-Editor-In-Chief of International Journal of Distance Education Technologies (IJDET) during 2010-2011, and the Editor-In-Chief of International Journal of Distance Education Technologies (IJDET) during 2012-2013. He is the editor of book “Designing Distributed Learning Environments with Intelligent Software Agents” published by Information Science Publishing. Furthermore, he has acted as Principal and co-Principal Investigator on more than 12 funded research including two NSERC Discovery Grants, one CFI of Canada, two research grants from Ministry of Education of China, others funding from Athabasca University and South China University of Technology of China. Dr. Lin’s current main research interests include Algorithms, Algorithm Visualization for online learning, Mechanism Design, Bioinformatics, AI, Machine Learning, and Game-based Learning.
Topic: Some aspects of applying the empirical mode decomposition technique to processing biomedical signals
Speaker: Dimitry Klionskiy
Email: kdm1986@gmail.com
Brief Bio: Professor Dmitry Klionskiy is currently working as Associate Professor of the department of Software Engineering and Computer Applications and department of Information Systems of Saint Petersburg Electrotechnical University «LETI» (ETU «LETI»). His research interests includes digital signal processing, statistics, wavelets, MATLAB, artificial intelligence, data mining, information technologies in education, management education, etc. As deputy dean for international affairs (2014-2020) he took part in various international collaborations and developed the master“s program «Computer Science and Knowledge Discovery» .He has vast experience of teaching Mathematics and Informatics at the Preparatory Department for foreign students at Saint Petersburg Electrotechnical University «LETI».
Brief Bio: Professor Dmitry Klionskiy is currently working as Associate Professor of the department of Software Engineering and Computer Applications and department of Information Systems of Saint Petersburg Electrotechnical University «LETI» (ETU «LETI»). His research interests includes digital signal processing, statistics, wavelets, MATLAB, artificial intelligence, data mining, information technologies in education, management education, etc. As deputy dean for international affairs (2014-2020) he took part in various international collaborations and developed the master“s program «Computer Science and Knowledge Discovery» .He has vast experience of teaching Mathematics and Informatics at the Preparatory Department for foreign students at Saint Petersburg Electrotechnical University «LETI».
Topic: Technologies and concepts for the next-generation integrated energy services
Speaker: Dr. Valentina Janev
Email: valentina.janev@institutepupin.com
Brief Bio: Dr Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia and Associated Professor at the Belgrade Metropolitan University. She graduated in Electrical Engineering from the University of Ljubljana, Slovenia and received the PhD degree in the field of Semantic Web technologies from the University of Belgrade, School of Electrical Engineering and Computer Science. She has taken part in many research projects funded by the European Commission, team leading in 3 H2020 projects (NEON, PLATOON, SLIDEWIKI), team member and WP/Task leader in 5 FP7 projects (LOD2, EMILI, GEO-KNOW, HELENA, GENDERTIME), 1 CIP/EIP project (SHARE-PSI), 1 FP6 project (Web4WEB), 1 Interreg project (MOVECO), 1 IPA Adriatic (PACINNO), 1 SEE project (FORSEE), 2 COST actions (CA18209, CA19134); and 2 projects funded by the BMBF (NoSQL-Net, CognitiveEng-Net). She published 1 authored book (Semantic Web Tools and Technologies for Competence Management: The Case Study of R&D Organization), 1 edited book (Knowledge Graphs and Big Data Processing) and around 90 papers as journal, book, conference, and workshop contributions in these fields.
Brief Bio: Dr Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia and Associated Professor at the Belgrade Metropolitan University. She graduated in Electrical Engineering from the University of Ljubljana, Slovenia and received the PhD degree in the field of Semantic Web technologies from the University of Belgrade, School of Electrical Engineering and Computer Science. She has taken part in many research projects funded by the European Commission, team leading in 3 H2020 projects (NEON, PLATOON, SLIDEWIKI), team member and WP/Task leader in 5 FP7 projects (LOD2, EMILI, GEO-KNOW, HELENA, GENDERTIME), 1 CIP/EIP project (SHARE-PSI), 1 FP6 project (Web4WEB), 1 Interreg project (MOVECO), 1 IPA Adriatic (PACINNO), 1 SEE project (FORSEE), 2 COST actions (CA18209, CA19134); and 2 projects funded by the BMBF (NoSQL-Net, CognitiveEng-Net). She published 1 authored book (Semantic Web Tools and Technologies for Competence Management: The Case Study of R&D Organization), 1 edited book (Knowledge Graphs and Big Data Processing) and around 90 papers as journal, book, conference, and workshop contributions in these fields.
Topic: Secure Intelligence Smart City Infrastructure using ChatGPT & Emerging Advanced Technologies
Speaker: Dr. Sushil Kumar Singh
Brief Bio: Dr. Sushil Kumar Singh is an Associate Professor of Computer Engineering at Marwadi University, Rajkot, India. Seoul National University of Science and Technology awarded him a Ph.D. His M.Tech. in Computer Science and Engineering was from Uttarakhand Technical University, Dehradun, India. He earned an M.E. in Information Technology from Mysore's Karnataka State University. He led the UCS Lab at Seoul National University of Science and Technology's Computer Science Engineering department. UCS Lab awarded him Best Lab Leadership for 2019-2021. He has almost 10 years of computer science teaching expertise. He wrote four books: C Programming, Cyber Security, Big Data Analytics, and Mobile Computing. He has also published several high-quality articles (Q1) in international journals and conferences. His lectures have been given worldwide. Blockchain, AI, Big Data, IoT, Smart City Security, and Cyber-Physical Systems are his research interests. He reviews IEEE Wireless Communication Magazine, IEEE SYSTEMS, IEEE Internet of Things, FGCS, TETT, EXSY, JISA, Computer Network, MDPI, CIE, HCIS, JIPS, Computing (COMP), Multimedia Tools & Applications, and SCIS Journal.
Brief Bio: Dr. Sushil Kumar Singh is an Associate Professor of Computer Engineering at Marwadi University, Rajkot, India. Seoul National University of Science and Technology awarded him a Ph.D. His M.Tech. in Computer Science and Engineering was from Uttarakhand Technical University, Dehradun, India. He earned an M.E. in Information Technology from Mysore's Karnataka State University. He led the UCS Lab at Seoul National University of Science and Technology's Computer Science Engineering department. UCS Lab awarded him Best Lab Leadership for 2019-2021. He has almost 10 years of computer science teaching expertise. He wrote four books: C Programming, Cyber Security, Big Data Analytics, and Mobile Computing. He has also published several high-quality articles (Q1) in international journals and conferences. His lectures have been given worldwide. Blockchain, AI, Big Data, IoT, Smart City Security, and Cyber-Physical Systems are his research interests. He reviews IEEE Wireless Communication Magazine, IEEE SYSTEMS, IEEE Internet of Things, FGCS, TETT, EXSY, JISA, Computer Network, MDPI, CIE, HCIS, JIPS, Computing (COMP), Multimedia Tools & Applications, and SCIS Journal.
Topic: Research and Publication Ethics: Avoiding Pitfalls
Speaker: Ms. Kamiya Khatter
Brief Bio: Kamiya Khatter is presently working as Senior Editor at Springer Nature. She is a part of the Global Acquisition Team at Springer, an imprint of Springer Nature. She is responsible for acquisition and publishing of books in Engineering and Applied Sciences portfolio. She has worked in various areas of academic publishing for both books and journals in the past.
Brief Bio: Kamiya Khatter is presently working as Senior Editor at Springer Nature. She is a part of the Global Acquisition Team at Springer, an imprint of Springer Nature. She is responsible for acquisition and publishing of books in Engineering and Applied Sciences portfolio. She has worked in various areas of academic publishing for both books and journals in the past.
Topic : Fragmenting Data Strategies to Scale up the Knowledge Graph Creation
Speaker: Prof. Dr. Maria-Esther Vidal
Brief Bio: Prof. Dr. Maria-Esther Vidal is the head of the Scientific Data Management Research Group at TIB and a member of the L3S Research Centre at the University of Hannover; she is also a full professor (on-leave) at Universidad Simón Bolívar (USB) Venezuela. Her interests include Big data and knowledge management, knowledge representation, and semantic web. She has published more than 170 peer-reviewed papers in Semantic Web, Databases, Bioinformatics, and Artificial Intelligence. She has co-authored one monograph, and co-edited books and journal special issues. She is part of various editorial boards (e.g., JWS, JDIQ), and has been the general chair, co-chair, senior member, and reviewer of several scientific events and journals (e.g., ESWC, AAAI, AMW, WWW, KDE). She is leading data management tasks in the EU H2020 projects iASiS, BigMedylitics, and QualiChain, and has participated in BigDataEurope, BigDataOcean; she is a supervisor of MSCA-ETN projects WDAqua and NoBIAS. She has been a visiting professor in different universities (e.g., Uni Maryland, UPM Madrid, UPC, KIT Karlsruhe, Uni Nantes). In the past, she has participated in international projects (e.g., FP7, NSF, AECI), and led industrial data integration projects for more than 10 years
Brief Bio: Prof. Dr. Maria-Esther Vidal is the head of the Scientific Data Management Research Group at TIB and a member of the L3S Research Centre at the University of Hannover; she is also a full professor (on-leave) at Universidad Simón Bolívar (USB) Venezuela. Her interests include Big data and knowledge management, knowledge representation, and semantic web. She has published more than 170 peer-reviewed papers in Semantic Web, Databases, Bioinformatics, and Artificial Intelligence. She has co-authored one monograph, and co-edited books and journal special issues. She is part of various editorial boards (e.g., JWS, JDIQ), and has been the general chair, co-chair, senior member, and reviewer of several scientific events and journals (e.g., ESWC, AAAI, AMW, WWW, KDE). She is leading data management tasks in the EU H2020 projects iASiS, BigMedylitics, and QualiChain, and has participated in BigDataEurope, BigDataOcean; she is a supervisor of MSCA-ETN projects WDAqua and NoBIAS. She has been a visiting professor in different universities (e.g., Uni Maryland, UPM Madrid, UPC, KIT Karlsruhe, Uni Nantes). In the past, she has participated in international projects (e.g., FP7, NSF, AECI), and led industrial data integration projects for more than 10 years
Title: Towards Understanding the Impact of Schema Conceptualization on Knowledge Graph Embeddings
Speaker: Dr. Cogan Shimizu
Brief Bio: Dr. Cogan Shimizu, is an Assistant Professor in Department of Computer Science & Engineering, Wright State University, USA
Brief Bio: Dr. Cogan Shimizu, is an Assistant Professor in Department of Computer Science & Engineering, Wright State University, USA
Topic: The role of Knowledge Graph in the era of Large Language Model (LLM)
Speaker: Dr. Sheng-Chuan Wu
Email: scw@franz.com
Brief Bio: Dr. Sheng-Chuan Wu received his Ph.D. in Science from Cornell University in the US. He has, since graduation, involved in several software companies, including the founding of a start-up company in Silicon Valley. In the last 20 years, he worked as a senior corporate executive at the leading Artificial Intelligence (AI) and Semantic Technology company, Franz Inc, in Silicon Valley, with responsibility in application development, marketing, consulting and new business development. Dr. Wu has also collaborated with researchers from academic institutions in the US and Asia on various AI and Knowledge Graph research projects.Dr. Wu has been focusing on Semantic Technology over the last 15 years. He routinely lectured and keynoted on AI and Semantic Technology at conferences. Most recently, he was a keynote speaker at KSEM 2015 in Chongqing, KMO 2016 in Germany, PRICAI 2016 in Thailand, CCKS 2016 in Beijing and CYPHER Data Analytics India 2017. He has, for the last 15 years, conducted more than 20 week-long workshops on Semantic Technology and Artificial Intelligence in Malaysia, China, Singapore, India and Japan. Dr. Wu has also consulted on several commercial Big Data and Semantic Technology projects in the US and Asia.
Brief Bio: Dr. Sheng-Chuan Wu received his Ph.D. in Science from Cornell University in the US. He has, since graduation, involved in several software companies, including the founding of a start-up company in Silicon Valley. In the last 20 years, he worked as a senior corporate executive at the leading Artificial Intelligence (AI) and Semantic Technology company, Franz Inc, in Silicon Valley, with responsibility in application development, marketing, consulting and new business development. Dr. Wu has also collaborated with researchers from academic institutions in the US and Asia on various AI and Knowledge Graph research projects.Dr. Wu has been focusing on Semantic Technology over the last 15 years. He routinely lectured and keynoted on AI and Semantic Technology at conferences. Most recently, he was a keynote speaker at KSEM 2015 in Chongqing, KMO 2016 in Germany, PRICAI 2016 in Thailand, CCKS 2016 in Beijing and CYPHER Data Analytics India 2017. He has, for the last 15 years, conducted more than 20 week-long workshops on Semantic Technology and Artificial Intelligence in Malaysia, China, Singapore, India and Japan. Dr. Wu has also consulted on several commercial Big Data and Semantic Technology projects in the US and Asia.
Special Sessions
Special Session: Generalizable Deep Learning Techniques for Medical Image Computing 2023 (GDLMIC 2023)
Session Chair: Dr. G.N. BALAJI
Email: balaji.gn@vit.ac.in; Ph: +91 9944065055
Special Session: Artificial Intelligence-based Wearable and Neural Computing for Medical Technologies 2023 (AIWNM 2023)
Session Chair: Dr. D. SOMASUNDARAM
Email: somasundaram.d@vit.ac.in; Ph: +91 9791267062
Special Session: Explainable Artificial Intelligence for Analysis and Diagnosis of Health Data 2023 (EAIADH 2023)
Session Chair: Dr. D. KARTHIKEYAN
Email: karthikeyan.duraisamy@vit.ac.in; Ph: +91 9080592199
Special Session: Early Diagnosis of Neurodegenerative & Attention Deficit Hyperactivity Disorder Diseases using ML/DL Techniques (Neuro2023) (Hybrid)
Session Chairs: Dr. Anshu Parashar, Dr. Amrita Kaur, Dr. Sunita, Dr. Alok Mishra
Email: anshuparashar@nitkkr.ac.in; Ph: +91 9896262553