BDCIA2024

Keynote Speakers

Witold Pedrycz

Research field： Computational intelligence, Fuzzy modeling and granular computing, Knowledge discovery and data science, Pattern recognition, Data science, Knowledge-based neural networks, and Control engineering.

Professor, University of Alberta, Edmonton, Canada; Polish Academy of Sciences, Warsaw, Poland.

Witold Pedrycz (Life Fellow, IEEE) received the M.Sc., Ph.D., and D.Sc. degrees from the Silesian University of Technology, Gliwice, Poland, in 1977, 1980, and 1984, respectively. He is currently a Professor with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada, the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Sariyer/Istanbul, Turkey, and also the Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia. He has published numerous papers in these areas; the current H-index is 125 (Google Scholar). He is 82 on the list top-h scientists for computer science and electronics (https://www.guide2research.com/scientists/) (link is external). He is also the author of 21 research monographs and edited volumes covering various aspects of computational intelligence, data mining, and software engineering. His research interests include computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. In 2012, he was elected a Fellow of the Royal Society of Canada. In 2007, he received the Prestigious Norbert Wiener Award from the IEEE Systems, Man, and Cybernetics Society. He was a recipient of the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Centre for Soft Computing, the Killam Prize, the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and the 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. He is vigorously involved in editorial activities. He is also the Editor-in-Chief of Information Sciences, the Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and the Co-Editor-in-Chief of International Journal of Granular Computing (Springer) and Journal of Data Information and Management (Springer). He is a member of a number of editorial boards of international journals.

Ljiljana Trajković

Research field： Communication network, Nonlinear circuits and systems.

Professor, Simon Fraser University, Canada.

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She served as a Distinguished Lecturer of the IEEE Circuits and System Society and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society. She is a Fellow of the IEEE.

Hoshang Kolivand

Research field： AI, AR/VR and HCI.

Associate Professor, Liverpool John Moores University, UK.

Hoshang Kolivand is an Associate Professor specializing in AI and Mixed Reality. He holds an MS degree in Applied Mathematics and Computer Science from Amirkabir University of Technology, Iran, and a PhD from Universiti Teknologi Malaysia (UTM). With a Post-Doctoral background in Augmented Reality from UTM, he has a wealth of expertise in the field. Previously, Dr. Kolivand worked as a lecturer at Shahid Beheshti University in Iran and later as a Senior Lecturer at UTM. Currently, he serves as a Associate Professor and Head of Applied Computing Research group at Liverpool John Moores University, UK. Dr. Kolivand has published extensively in international journals, conference proceedings, and technical papers. He is an active member of various international conferences and journals as well as Senior member of IEEE. Additionally, he has authored several books on object-oriented programming and mathematics. His research interests encompass AI, AR/VR and HCI, where he explores innovative applications and advancements.

Xiaodong Liu

Research field： Pervasive systems (Internet of Things), Service-oriented architecture, Evolution of cloud services, and Intelligence-driven smart systems.

Professor, Edinburgh Napier University, UK.

Prof. Xiaodong Liu has been very active in the research in AI-driven software engineering, focusing on pervasive systems (Internet of Things), service-oriented architecture, evolution of cloud services, and intelligence-driven smart systems. He has won 12 external grants and successfully led or leading these externally funded projects with the role of principal investigator. Currently Prof. Liu leads the Intelligence-Driven Software Engineering Research Group. He is the founder a spin out company, FlexiCAGE Ltd. He has published 170 papers in refereed international journals and conferences and 5 book chapters. He is the inventor of 1 patent in Generative Component Adaptation registered in UK, USA and at International Level (PCT). He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the associate editor of 2 international journals and the editorial board member of 3 international journals. He is the chief editor of 3 IGI Global Research Handbooks. He is the regular reviewer of other 6 international journals. He is a senior member of IEEE Computer Society, and a member of British Computer Society.

Michele Fiorini

Research field： Vessel Traffic Services, Coastal Surveillance Systems, Intelligent Transport Systems, and E-navigation.

Engineering manager, Leonardo S.p.A., Italy.

Michele Fiorini, educated at Ancona (Italy), Bath (United Kingdom) and Gdańsk (Poland) Universities, Michele Fiorini (SM IEEE) holds a Ph.D. in electronic and telecommunications engineering in Italy and an M.B.A. in strategy, programme and project management in Poland. He is an engineering manager at Leonardo s.p.a. in Rome (Italy) where he is providing technical and management leadership on maritime transport and border control systems. He is also an industrial member at the IALA* in Paris (France) and member of the MBA advisory board at the Gdańsk University of Technology in Poland. Michele has been Chair of the Council at the Institution of Engineering and Technology (IET) in London, UK, 2017-2018, and a session chair at the Euro-Asia Economic Forum (Xi'an, China, 2013). In June 2018 he has been invited to provide a special lecture and advices at Mokpo National Maritime University (MMU), Republic of Korea on how to solve navigational risk based on vulnerability of maritime accidents for e-Navigation. He is a Chartered Engineer (CEng) registered to the Engineering Council in the UK and co-editor of two IET Transportation Series books: “Clean Mobility and Intelligent Transport Systems” (2015) and “ICT Solutions and Digitalisation in Ports and Shipping” (2021).

Philip W. T. Pong

Research field： Fault detection, Predictive maintenance, and Anomaly detection of power grid.

Associate Professor, New Jersey Institute of Technology, USA.

Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he obtained a PhD in engineering at the University of Cambridge in 2005. He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. Currently he is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research interest focuses on the fault detection, predictive maintenance, and anomaly detection of power grid. He is the Founding Director of the Green Technology Research and Training Laboratory, leading the research and education activities of offshore wind energy at NJIT. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

Vishnu S. Pendyala

Research field： Machine learning, Semantic web.

Academic Senator, San Jose State University, USA.

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the IEEE Computer Society Santa Clara Valley chapter, and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an ACM Distinguished speaker and before that as a researcher and industry expert, he gave numerous (50+) invited talks in conferences, faculty development programs, and other forums some of which are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala recently served on a US government's National Science Foundation (NSF) proposal review panel. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in Computer Society of India and was the Program Secretary for its annual national convention. He served as an Area Governor with Toastmasters International and received the Distinguished Toastmaster, Area Governor of the Year, and Silver Scribe awards.

Anand Nayyar

Research field： Wireless sensor networks, IoT, Swarm intelligence, Cloud computing, AI, Drones, Blockchain, Cyber security, Healthcare informatics, Big data and Wireless communications.

Professor, Duy Tan University, Vietnam.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 100+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 160+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3 Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 9800+, H-Index: 52 and I-Index: 185. Member of more than 60+ Associations as Senior and Life Member. He has authored/co-authored cum Edited 50+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 7 German Patents, 4 Japanese Patents, 40 Indian Design cum Utility Patents, 4 UK Patent, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 40 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022), Ad Index (Rank No:1 Duy Tan University, Rank No:1 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 31). He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), Tech Science Press- IASC, IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, IJSIR. He is acting as Managing Editor of IGI-Global Journal, USA titled “International Journal of Knowledge and Systems Science (IJKSS)” and Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”. He has reviewed more than 2500+ Articles for diverse Web of Science and Scopus Indexed Journals.

Hongliang Ren

Research field： Biorobotics, Intelligent control, Medical mechatronics, Soft continuum robots, Soft sensors, and Multisensory learning in medical robotics.

Associate Professor, Chinese University of Hong Kong, China.

Hongliang Ren received his Ph.D. in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008.  He has navigated his academic journey through Chinese University of Hong Kong, Johns Hopkins University, Children’s Hospital Boston, Harvard Medical School, Children’s National Medical Center, United States, and National University of Singapore (NUS). He is currently Associate Professor, Department of Electronic Engineering at Chinese University of Hong Kong, and Adjunct Associate Professor, Department of Biomedical Engineering at National University of Singapore. He has served as an Associate Editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). His areas of interest include biorobotics, intelligent control, medical mechatronics, soft continuum robots, soft sensors, and multisensory learning in medical robotics. He is the recipient of NUS Young Investigator Award and Engineering Young Researcher Award, IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, ICBHI Young Investigator Award 2019, and Health Longevity Catalyst Award 2022 by NAM & RGC.