Dong Wang

• Faculty Affiliate, Siebel School of Computing and Data Science
• Affiliate, Carl R. Woese Institute for Genomic Biology
• Faculty Affiliate, National Center for Supercomputing Applications (NCSA)
• Faculty Affiliate, Information Trust Institute
• Faculty Affiliate, Illinois Informatics
• Faculty Affiliate, Center for Social and Behavioral Science (CSBS)
• Faculty Affiliate, IMMERSE: Center for Immersive Computing

Social sensing and intelligence, human-centered AI, human-AI teaming, AI for social good, responsible AI, data quality, big data analytics, cyber-physical-human systems, smart cities, and edge computing.

• Distinguished iSchool Research and Scholarship Award (inaugural recipient), 2026
• Computing Research Association (CRA) Emerging Leaders Cohort, 2026
• Amazon Research Award 2026
• Snap Research Award 2026
• Best Dataset Paper, 2026 International AAAI Conference on Web and Social Media (ICWSM)
• Best Paper Honorable Mention: 2025 ACM CHI conference on Human Factors in Computing Systems (CHI 2025)
• Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
• Teachers Ranked as Excellent by Their Students, Fall 2022, 2023 and Spring 2023, 2024
• Best Paper Award, 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
• Best Paper Honorable Mention, 8th IEEE International Conference on Smart Computing (SMARTCOMP)
• NSF CAREER Award
• Google Faculty Research Award
• ARO Young Investigator Program Award (YIP)
• NSF CISE Research Initiation Initiative (CRII) Award
• Wing Kai Cheng Fellowship, University of Illinois
• Best Paper Award, 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)

Dong Wang joined the School of Information Sciences at the University of Illinois as an associate professor in August 2021. He previously served as an associate professor in the Computer Science and Engineering Department at the University of Notre Dame. His honors include the NSF CAREER Award, Google Faculty Research Award, Young Investigator Program (YIP) Award from the US Army Research Office, NSF CRII Award, Wing Kai Cheng Fellowship from the University of Illinois, and the Best Paper Awards of ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM) and IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). He also served as the TPC chairs of IEEE DCoSS 2022 and ACM/IEEE ASONAM 2023.
 
Wang’s work has been applied in a wide range of real-world applications such as social network analysis, crowdsourcing, disaster response, education,  smart cities, synthetic biology, and environmental sustainability. He has published over 150 technical papers in peer reviewed conferences and journals. His research on social sensing, intelligence and computing resulted in software tools that found applications in academia, industry, and government research labs.

He has authored two books, Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence (Springer, 2023) and Social Sensing: Building Reliable Systems on Unreliable Data (Elsevier, 2015).

Wang holds a PhD in computer science from the University of Illinois Urbana-Champaign.

By appointment, please contact professor.

For a complete list of publications, visit Dong Wang's Google Scholar page.

Zhenrui Yue, Kartikeya Upasani, Xianjun Yang, Suyu Ge, Shaoliang Nie, Yuning Mao, Zhe Liu, Dong Wang. Dr. Zero: Self-Evolving Search Agents without Training Data, Conference on Language Modeling (COLM 26), Full Paper , San Francisco, USA, October, 2026.

Ruichen Yao, Aslanbek Murzakhmetov, Raaghav Pillai, Aliya Maussymbayev, Zelin Li, Yifan Liu, Yaokun Liu, Lanyu Shang, Yang Zhang, Dong Wang. MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane, The International AAAI Conference on Web and Social Media (ICWSM 2026), Full Paper, Dataset Track, Los Angeles, CA, USA, 2026. Best Dataset Paper Award

Yaokun Liu, Yifan Liu, Phoebe Mbuvi, Zelin Li, Ruichen Yao, Gawon Lim, Dong Wang. Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering, The ACM Web Conference 2026 (WWW 2026), Full Paper, Special Track on Web4Good, Dubai, United Arab Emirates, April, 2026. 

HaeJin Lee, Frank Stinar, Ruohan Zong, Hannah Valdiviejas, Dong Wang, Nigel Bosch. Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes, ACM CHI conference on Human Factors in Computing Systems (CHI 2025), Full Paper, Yokohama, Japan, April, 2025. Best Paper Honorable Mention

Dong Wang, Lanyu Shang, and Yang Zhang. Social Intelligence: The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, Springer Nature, 1st Edition, 2025.

Zelin Li, Ruohan Zong, Yifan Liu, Ruichen Yao, Yang Zhang, Dong Wang. Anti-Tamper Protection for Unauthorized Individual Image Generation , 2025 International Conference on Computer Vision (ICCV 25), Full Paper, Honolulu, Hawai'i, USA, October, 2025.

Dong Wang and Daniel (Yue) Zhang. Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, 1st Edition, Springer, 2023.

Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang. CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment, The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 22), November, Virtual Conference, 2022.

Daniel Zhang, Ziyi Kou, Dong Wang. FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing, IEEE International Conference on Computer Communications (IEEE INFOCOM 2021), Full Paper, Virtual Conference, May, 2021.

Dong Wang, Tarek Abdelzaher, and Lance Kaplan. Social Sensing: Building Reliable Systems on Unreliable Data, 1st Edition, Elsevier, 2015.

Dong Wang, From Social Sensing to Social Intelligence: Building AI that Understands Society, Invited Speaker, iConverge, Gies School of Business, University of Illinois, September, 2026.

Dong Wang, Human-centered AI for Social Good, Invited Speaker, AI for Social Good: Transforming Challenges into Opportunities Series, University of Western Ontario, Canada, June, 2026.

Dong Wang, Responsible AI in Education and Disaster Response, Invited Panel Speaker, Navigating AI Together: Conversations on Teaching, Research, and Responsibility, University of Illinois, Provost Office, April, 2026.

Dong Wang, Towards Responsible Generative AI: Veracity, Privacy, Personalized Recommendation, Amazon Research, Responsible AI, Amazon, January, 2026.

Dong Wang, Human-centered Computing and Intelligence, School of Computing, National University of Singapore, Singapore, December, 2025

Dong Wang, Social Intelligence: a New Era of Human-AI Collaborative Intelligence, School of Computer, Data & Information Science, University of Wisconsin-Madison , Madison, Wisconsin, October, 2025

Dong Wang, Social Intelligence for Human-centric Computing Systems, Department of Computer Science, City University of London, UK, March, 2024

Dong Wang, Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine, invited talk at ACM and SAGE Collective Intelligence, June, 2023

Dong Wang, Vision of Social Informatics: the Perspectives from Social (Human-centric) Sensing and Intelligence, invited talk at National Research Council of Italy, July, 2022.

Dong Wang, Addressing Data Heterogeneity and Sparsity in Human-centric Smart City Applications, invited panel talk at 8th International Conference on Networking, Systems and Security (NSysS 2021), virtual, December, 2021.