Social Edge Computing

Dong Wang is currently an Associate Professor in the School of Information Sciences at the University of Illinois Urbana-Champaign (UIUC). Before joining UIUC, he previously served as an associate professor and assistant professor in the Computer Science and Engineering Department at the University of Notre Dame. Dong Wang received his Ph.D. in Computer Science from UIUC in 2012. He has published more than 160 referred publications in networked sensing, edge computing/IoT, distributed systems, and social computing, with emphasis on human-centric challenges. He authored a monograph “Social Sensing: Building Reliable Systems on Unreliable Data” published by Elsevier 2015. His research interests lie in the area of social sensing, intelligence and computing, human-centered AI, human cyber-physical systems, and smart city applications. He received the NSF CAREER Award, Google Faculty Research Award, Young Investigator Program (YIP) Award from Army Research Office, NSF CRII Award, Wing Kai Cheng Fellowship from University of Illinois, the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), the Best Paper Award Candidate from 8th IEEE International Conference on Smart Computing (SMARTCOMP). He also served as the Steering Committee Member of SocialSens workshop 2015-2022 and TPC co-Chair of IEEE DCoSS 2022.Daniel 'Yue' Zhang is currently a research scientist at Amazon Alexa AI, USA. Daniel obtained his Ph.D. from the department of Computer Science and Engineering at University of Notre Dame, IN, USA in 2020. He received his M.S. degree from Purdue University, West Lafayette, IN, USA, in 2012 and a B.S. degree from Shanghai Jiao Tong University, Shanghai, China, in 2008. His research interests include human-centric learning and computing, social sensing, edge computing, and natural language understanding. Daniel has published over 70 peer reviewed articles and served as TPC and reviewers in multiple top conferences and journals in related fields.

• A New Human-centric Computing Age at Edge.- Social Edge Trends and Applications.- Rational Social Edge Computing.- Taming Heterogeneity in Social Edge Computing.- Real-time AI in Social Edge.- Human-AI Interaction.- Privacy in Social Edge.- Further Readings.- Conclusion and Remaining Challenges.