Advisory Board and Editors Social Computing
Amit Sheth
Educator, Researcher, and Entrepreneur. Founding Director - AI Institute, NCR Professor, and Professor of Comuter SC & Engg, University of South Carolina. Earlier, LexisNexis Ohio Eminent Scholar. Executive Director, Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University. Elected Fellow IEEE, AAAS, AAAI, ACM, and AAIA. Working towards a vision of Computing for Human Experience. His recent work has focused on knowledge-infused learning and neuro-symbolic AI, semantic-cognitive-perceptual computing, and semantics-empowered Physical-Cyber-Social computing. He coined the terms: Smart Data, Semantic Sensor Web, Semantic Perception, Citizen Sensing, etc. He has (co-)founded four companies, including the first Semantic Search company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph, ezDI, which developed knowledge-infused clinical NLP/NLU, and Cognovi Labs at the intersection of emotion and AI. He is particularly proud of the success of his >45 Ph.D. advisees and postdocs.
Kaize Shi
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Osama Sohaib
Dr Osama Sohaib is a Lecturer at the Faculty of Engineering and Information Technology, University of Technology Sydney. His research interest areas include information systems modelling, e-Services, Human-Computer Interaction (HCI) and Applied Machine Learning.
Giancarlo Sperlì
Giancarlo Sperlì is an assistant professor at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II.
He obtained his PhD in Information Technology and Electrical Engineering at the same University defending his thesis: "Multimedia Social Networks".
He is a member of the Pattern Analysis and Intelligent Computation for Multimedia Systems (PICUS) departmental research groups. His main research interests are in the area of Cybersecurity, Semantic Analysis of Multimedia Data and Social Networks Analysis.
He has served as guest editor of different special issues on International Journals. Finally, he has authored about 118 publications in international journals, conference proceedings and book chapters.
Harini Srinivasan
Working for 20+ years in industry on a variety of innovative topics - programming languages, run-time environment, tools including performance analysis, parallel distributed systems, service-oriented and business process architectures, deployment of large systems, e-commerce and social media analysis.
Lo'ai Tawalbeh
Dr Lo’ai Tawalbeh (IEEE SM) completed his PhD degree in Electrical & Computer Engineering from Oregon State University in 2004, and MSc in 2002 from the same university with GPA 4/4. Dr. Tawalbeh is currently an Associate professor at the department of Computing and Cyber Security at Texas A&M University-San Antonio. Before that he was a visiting researcher at University of California-Santa Barbra. Since 2005 he taught/developed more than 25 courses in different disciplines of computer engineering and science with focus on cyber security for the undergraduate/graduate programs at: NewYork Institute of Technology (NYIT), DePaul’s University, and Jordan University of Science and Technology. Dr. Tawalbeh won many research grants and awards with over than 2 Million USD. He has over 80 research publications in refereed international Journals and conferences.
Loren Terveen
Loren Terveen is a Professor of Computer Science at the University of Minnesota.
He has published over 100 scientific papers, holds 9 patents, has advised several startup companies, consulted on intellectual property cases, and has held many leadership positions in his profession.
He has chaired the leading conferences in Human-Computer Interaction and Social Computing, served on the Executive Committee of the ACM Special Interest Group for Computer-Human Interaction, and led the ACM Computer-Supported Cooperative Work community. He is a Distinguished Scientist of the ACM.
Terveen's current research emphases are: crowdsourcing, geographic-based online communities, and recommender systems.
Bhavani Thuraisingham
Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute (CSI) at The University of Texas at Dallas. She is an elected Fellow of ACM, IEEE, the AAAS, the NAI (National Academy of Inventors) and the British Computer Society
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Meng Wang
Dr. Meng Wang is a professor at the Hefei University of Technology, China. His current research interests include multimedia content analysis, search, mining, recommendation, and large-scale computing. He received the best paper awards successively from the 17th and 18th ACM International Conference on Multimedia. He is the recipient of ACM SIGMM Rising Star Award 2014.
Wei Wang
Dr. Wei Wang is currently a Full Professor at the Department of Engineering Shenzhen MSU-BIT University, Shenzhen, China. Before this, he had been an associate professor with the School of Intelligent Systems, Sun Yat-sen University, China from 2019 to 2022. He had been the UM Macao Research Fellow at the University of Macau, Macau SAR. He received his Ph.D. in Software Engineering from Dalian University of Technology in 2018. His research interests include Psychophysiological Computing and Complex network He has authored/co-authored more than 100 scientific papers in top-tier international journals and conferences, including more than 50 scientific papers as the first/corresponding author, such as IEEE TITS, TNNLS, TBD, TCSS, TII, TETC, JBHI, IoT, ACM TALLIP, TKDD, WWW, and PKDD. He is the Leading Guest Editor of IEEE TCSS, JBHI, SETA, and the Guest Editor of ACM TOIT. He is a Program Chair of ISoIRS 2022, Track Chair of IEEE SmartIoT 2019&2020, TPC member of IEEE HealthCom 2020, and a regular reviewer of extensive top-tier field journals and conferences, such as IEEE TII, TBD, IoT, IJCAI, and WWW. He has an h-index of 26, a cumulative impact factor of 300+, and a total of 2500+ citations based on Google Scholar.
Christopher John Webster
Prof. Chris Webster is Dean of the Faculty of Architecture, the University of Hong Kong, and leads the HKUrbanLab. He has degrees in urban planning, computer science, economics and economic geography and is a leading urban theorist and spatial economic modeller. He has published over 150 scholarly papers on the idea of spontaneous urban order and received over US$20M grants for research and teaching and learning projects.
His research interests includes leading HKU’s Healthy High Density Cities research group to establish systematic evidence for the relationship between urban configuration (planned and spontaneous) and individual health.
He is a strong supporter of the discipline of Urban Science, believing that much (but by no means all) urban social science of the 20th century did not deliver on its claims and that advances in big data, sensing technology and computing power, are leading to a new engagement between urban decision makers and scientists. The 20th century urban scholars' reliance on small numbers, descriptive case studies, rudimentary analytics, cross-sectional designs and subjective measurements from social surveys are giving way to a more mature phase of urban science, with large-N panel studies, quasi and RCT designs, temporally and spatially fine-grained units of analysis, and a high degree of inter-disciplinarity. Professor Webster's hope is that an increasing number of Urban Science studies will appear in widely-read public science journals.