Prof. Mohammad S. Obaidat
University of Jordan,Jordan
IEEE Life Fellow, AAIA Fellow,
Speech Title: Smart Energy Harvesting and Traffic Flow Prediction Methodology for Plug-In Electric Vehicles
In order to maintain the reliability and transparency of power distribution to consumers, smart grids (SGs) are envisioned to become one of the leading technologies while the use of plug-in electric vehicles (PEVs) has increased exponentially. However, due to indeterminate demands for the use of resources of SGs, there may be a performance bottleneck at some points in SGs. An intelligent infrastructural support for PEVs is thus required so that the PEVs can perform energy trading from the SG control center. The energy can be generated from various conventional and nonconventional sources. Here, we present an intelligent energy harvesting and traffic flow forecasting for PEVs in a vehicle-to-grid (V2G) environment. In the proposed game, vehicles are assumed as the players of the game such that learning components are assumed to be deployed on these vehicles having cooperation with intermediate relay nodes. The choice of the relay nodes is completed using a Naive Bayes classifier having input parameters as the current payoff of the players in the game. The Payoff Value (PV) is given to the players using the link quality and mobility pattern. The proposed scheme is evaluated using the performance metrics of probability of data delivery, delay incurred, operational cost, and energy gap. The results corroborate the effectiveness of the proposed coalition game in a V2G environment.
Brief biographyProfessor Mohammad S. Obaidat is an internationally known academic/researcher/scientist/ scholar. He received his Ph.D. degree in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, USA. He has received extensive research funding and published To Date (2023) over One Thousand (1,200) refereed technical articles-About half of them are journal articles, over 100 books, and over 70 Book Chapters. He is Editor-in-Chief of 3 scholarly journals and an editor of many other international journals. He is the founding Editor-in Chief of Wiley Security and Privacy Journal. Moreover, he is founder or co-founder of 5 IEEE International Conferences.
Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President and Chair of Board of Directors of the Society for Molding and Simulation International(SCS), Senior Vice President of SCS, SCS VP for Membership and SCS VP for Conferences, Dean of the College of Engineering at Prince Sultan University, Founding Dean of the College of Computing and Informatics at The University of Sharjah, Chair and tenured Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham university, Chair and tenured Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University, Chair and Professor of Computer Science Department at University of Texas-Permian Basin, Distinguished Professor at IIT-Dhanbad, Tenured Full Professor at King Abdullah II School of Information Technology (KASIT), University of Jordan, The PR of China Ministry of Education Distinguished Overseas Professor at the University of Science and Technology Beijing, China and an Honorary Distinguished Professor at the Amity University- A Global University. He is also a Distinguished Visiting Professor at SRM University, India.
He is now a Distinguished Professor at KASIT, University of Jordan.
He has chaired numerous (Over 185) international conferences and has given numerous (Over 185) keynote speeches worldwide. He has served as ABET/CSAB evaluator and on IEEE CS Fellow Evaluation Committee. He has served as IEEE CS Distinguished Speaker/Lecturer and an ACM Distinguished Lecturer. Since 2004 has been serving as an SCS Distinguished Lecturer. He received many best paper awards for his papers including ones from IEEE ICC, IEEE Globecom, AICSA, CITS, SPECTS, DCNET, IEEE ICCCA, International conferences. He also received Best Paper awards from IEEE Systems Journal in 2018 and in 2019 (2 Best Paper Awards). In 2020, he received 4 best paper awards from IEEE Systems Journal and also in 2021 received the best paper award from IEEE Systems Journal.
During his tenure as Founding Dean of College of computing and Informatics at University of Sharjah, the Computer Sciences program has been ranked by Times for Higher Education (THE) as NUMBER 1 in UAE and for the first time in the history of the University.
He also received many other worldwide awards for his technical contributions including: The 2018 IEEE ComSoc-Technical Committee on Communications Software 2018 Technical Achievement Award for contribution to Cybersecurity, Wireless Networks Computer Networks and Modeling and Simulation, SCS prestigiousMcLeod Founder's Award , Presidential Service Award, SCSHall of Fame –Lifetime Achievement Award for his technical contribution to modeling and simulation and for his outstanding visionary leadership and dedication to increasing the effectiveness and broadening the applications of modeling and simulation worldwide. He also received the SCS Outstanding Service Award. He was awarded the IEEE CITS Hall of Fame Distinguished and Eminent Award.
He also received the Nokia Distinguished Fellowship Award and Fulbright Distinguished Scholar Award, among others.
He was ranked recently by research.com agency as number ONE Computer Scientist and number ONE Scholar in Electronics and Electrical Engineering in Jordan.
In recognition of his significant scientific contribution, Springer published in 2022 a book honoring his contributions in Computing, Informatics, Networking and Cybersecurity. It is entitled: Advances in Computing, Informatics, Networking and Cybersecurity - A Book Honoring Professor Mohammad S. Obaidat’s Significant Scientific Contributions. Prof. Obaidat isa Life Fellow of IEEE, a Fellow of AAIA and a Fellow of SCS.
Prof. Wei Zeng
Xi’an Jiaotong University, China
Wei Zeng is currently a Professor in the Department of Information Science, School of Mathematics and Statistics, Xi’an Jiaotong University, China. Dr. Zeng received her PhD degree of Computer Science and Technology form Chinese Academy of Sciences, and had graduate visiting and postdoc research at The State University of New York at Stony Brook under the supervision of Dr. David Xianfeng Gu. Her research focuses on computational conformal geometry theories and algorithms and their applications to biomedicine and engineering. Recent interest is on exploring the correlation of differential geometry, optimal transport and deep learning. She published one Springer book entitled "Ricci Flow for Shape Analysis and Surface Registration: Theories, Algorithms and Applications", and won the 2009 CAD/CAM Best Paper Award and the 2017 ICCM Best Paper Award. She has obtained more than 10 international and domestic patents (including 3 U.S. patents related to virtual colonoscopy).
Prof. Chi Liu
Beijing Institute of Technology, China
Fellow of CIE, IET and BCS
Speech Title: Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
Fast and efficient access to environmental and life data is key to the successful disaster response. Vehicular crowdsourcing (VC) by a group of unmanned vehicles (UVs) like drones and unmanned ground vehicles to collect these data from Point-of-Interests (PoIs) e.g., possible survivor spots and fire site, provides an efficient way to assist disaster rescue. In this paper, we explicitly consider to navigate a group of UVs in a 3-dimensional (3D) disaster work zone to maximize the amount of collected data, geographical fairness, energy efficiency, while minimizing data dropout due to limited transmission rate. We propose DRL-DisasterVC(3D), a distributed deep reinforcement learning framework, with a repetitive experience replay (RER) to improve learning efficiency, and a clipped target network to increase learning stability. We also use a 3D convolutional neural network (3D CNN) with multi-head-relational attention (MHRA) for spatial modeling, and add auxiliary pixel control (PC) for spatial exploration. We designed a novel disaster response simulator, called “DisasterSim”, and conduct extensive experiments to show that DRL-DisasterVC(3D) outperforms all five baselines in terms of energy efficiency when varying the numbers of UVs, PoIs and SNR threshold. This work was published and awarded the Best Paper Runner-up Award for ACM SigKDD 2021 Applied Data Science Track.
Prof. Chi (Harold) Liu receives a Ph.D. degree in Electronic Engineering from Imperial College, UK in 2010, and a B.Eng. degree in Electronic and Information Engineering from Tsinghua University, China in 2006.
He is currently a Full Professor, Vice Dean at the School of Computer Science and Technology, and Director of Beijing Key Lab of Intelligent Information Technology, Beijing Institute of Technology, China. Before moving to academia, he worked for IBM Research - China as a staff researcher and project manager from 2010 to 2013, worked as a postdoctoral researcher at Deutsche Telekom Laboratories, Germany in 2010, and as a Research Staff Member at IBM T. J. Watson Research Center, USA in 2009. His current research interests include the big data analytics, mobile computing, and machine learning. He received the IBM First Plateau Invention Achievement Award in 2012, ACM SigKDD'21 Best Paper Runner-up Award, ACM MobiCom'21 Best Community Paper Runner-up Award, and IEEE DataCom'16 Best Paper Award. He has published more than 100 prestigious conference and journal papers and owned 39 EU/UK/US/Germany/Spain/China patents. He serves as the Associate Editor for IEEE TRANSACTIONS ON MOBILE COMPUTING, the Associate Editor for IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, Area Editor for KSII Trans. on Internet and Information Systems, the Symposium Chair for IEEE ICC 2020 on Next Generation Networking, and served as the (Lead) Guest Editor for IEEE Transactions on Emerging Topics in Computing and IEEE Sensors Journal. He was the book editor for 11 books published by Taylor & Francis Group, USA and China Machine Press, China. He also has served as the general chair of IEEE SECON'13 workshop on IoT Networking and Control, IEEE WCNC'12 workshop on IoT Enabling Technologies, and ACM UbiComp'11 Workshop on Networking and Object Memories for IoT. He was a consultant to Asian Development Bank, Bain & Company, and KPMG, USA, and the peer reviewer for Qatar National Research Foundation, National Science Foundation, China, Ministry of Education and Ministry of Science and Technology, China. He is a senior member of IEEE and a Fellow of IET, British Computer Society, and Royal Society of Arts.
Prof. Huiyu Zhou
University of Leicester, U.K
Speech Title: Towards uncertainty in learning and modelling
There are many questions to answer in image interpretation and understanding. Uncertainty in image analysis needs strong and powerful modelling tools to describe the objects in the images. Artificial intelligence (AI) plays a very important role in the design of a robust tool for image representation. Using some examples from his own work on uncertainty analysis, Prof. Zhou will explore how AI can stimulate new concepts or development of dealing with complicated problems and lead us to novel adventures through these applications.
Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 500 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”,“ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize".His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.Homepage:https://le.ac.uk/people/huiyu-zhou.
Prof. Xiaofeng Ding
Huazhong University of Science and Technology (HUST), China
I am currently a Professor and Pd.D Supervisor in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). I received my Ph.D degree in Computer Science from HUST in 2009. I also worked as Research Fellow at the National University of Singapore and the University of South Australia during 2010-2013. My research interests mainly include data privacy and query processing, data encryption, graph databases and deep learning. Most of my works are published in reputable jounrals or conferences like IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Dependable and Secure Computing, International Conference on Very Large Data Bases (VLDB), IEEE International Conference on Data Engineering (ICDE), ACM Conference on Information and Knowledge Management (CIKM) and etc.