Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence

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.

董旺目前是伊利諾伊大學香檳分校（UIUC）資訊科學學院的副教授。在加入UIUC之前，他曾擔任聖母大學計算機科學與工程系的副教授和助理教授。董旺於2012年在UIUC獲得計算機科學博士學位。他在網絡感知、邊緣計算/物聯網、分散式系統和社會計算等領域發表了超過160篇的學術論文，重點關注以人為中心的挑戰。他著有專著《社會感知：在不可靠數據上構建可靠系統》，該書於2015年由Elsevier出版。他的研究興趣包括社會感知、智能與計算、人本AI、人類網絡物理系統以及智慧城市應用。他獲得了NSF CAREER獎、Google教職員研究獎、陸軍研究辦公室的青年研究者計畫（YIP）獎、NSF CRII獎、伊利諾伊大學的Wing Kai Cheng獎學金，以及2022年ACM/IEEE國際社會網絡分析與挖掘會議（ASONAM）的最佳論文獎、16屆IEEE即時與嵌入式技術與應用研討會（RTAS）的最佳論文獎候選人，以及第8屆IEEE智慧計算國際會議（SMARTCOMP）的最佳論文獎候選人。他還曾擔任2015-2022年社會感知研討會的指導委員會成員及2022年IEEE DCoSS的程序委員會共同主席。

張「岳」丹尼爾目前是美國亞馬遜Alexa AI的研究科學家。丹尼爾於2020年在聖母大學計算機科學與工程系獲得博士學位。他於2012年在普渡大學獲得碩士學位，並於2008年在上海交通大學獲得學士學位。他的研究興趣包括以人為中心的學習與計算、社會感知、邊緣計算和自然語言理解。丹尼爾已發表超過70篇同行評審的文章，並在多個相關領域的頂尖會議和期刊中擔任程序委員會成員和審稿人。