Advisory Board and Editors Social Computing
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.
Marvin Wyrich
Dr. Marvin Wyrich is a Researcher at Saarland University, Germany.
His primary research interests include empirical software engineering, program comprehension, and meta-scientific topics.
Feng Xia
I work in artificial intelligence (AI), digital health, and systems engineering, with particular interest in graph learning, brain science, and robotics.
Keli Xiao
Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.
Lexing Xie
Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.
Arkaitz Zubiaga
I'm a senior lecturer (associate professor) at Queen Mary University of London. My research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. I'm particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.