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IEEE UV 2024 Conference Keynote Speakers

IEEE UV 2024 Conference  Keynote Speakers

The IEEE UV 2024 Conference will bring together a distinguished lineup of keynote speakers who will explore cutting-edge topics in Artificial Intelligence (AI) and its applications in urban computing. The conference’s central themes: Human-centricity, Explainable AI, and Intent & Behavior Understanding for Integration, Resilience, Inclusiveness, and Sustainability.

With these themes in mind, the speakers at IEEE UV 2024 will address how AI and big data can be harnessed to build smarter, more inclusive cities, improve human-technology interaction, and create a more sustainable and equitable future.

Keynote Speakers:

Roy E. Welsch Professor of Statistics and Data Science at the MIT Sloan School of Management and the MIT Center for Statistics and Data Science
The Eastman Kodak Leaders for Global Operations Professor of Management
AI & Big Data
Stephen Orlins President of the National Committee on United States–China Relations Public Management & Policy
Ahmed Hussein ITSS Vice President; IAV GmbH ITS
Clinton Andrews Distinguished Professor | Associate Dean for Research | Director – Center for Urban Policy Research, Rutgers University Urban Planning and
Public Policy
Georgios Theodoropoulos Chair Professor in the School of Computer Science and Engineering at SUSTech in Shenzhen AI, Big data, Computing Systems
Tobiloba Oni

Koch Institute Affiliated Fellow

Valhalla Fellow, Whitehead Institute

AI & Cancer; Cell Renewal
Julian Togelius Associate Professor in NYU Tandon AI & Computer game
Jose Campos the City of San Francisco’s Office of Community Investment and Infrastructure Smart City
Francisco Bozzano Barnes Director International Programs Francisco, Center for Media & Peace Initiative AI & Sustainable Development
Agnis Stibe Professor, Co-Lead of the Centre for Digital Impact, RMIT University Vietnam Persuasive City, Human-City Interaction, Performance Improvement, Artificial Intelligence (AI), Human Capital Management, Transformational Leadership, Business Transformation
Yushun Fan Professor, Institute of Industrial Intelligence and Systems-Department, Tsinghua university Smart Service Recommendation; Graph Reasoning; Service Science and Technology; Enterprise Modelling; Big Data; Computer Integrated Manufacturing;
Sara Abdali Senior Researcher,Microsoft Research Deepfake News; Disinformation
Jennifer Lynes Murray Associate Professor,University of Waterloo Business and The Environment; Marketing of Sustainability
Jagannath Aryal Associate Professor, The University of Melbourne Smart Infrastructure
Jina Huh-Yoo Associate Professor, Stevens Institute of Technology Human-Computer Interaction and Health Informatics
Jingyan Qin Professor, University of Science and Technology Beijing. Associate Dean, School of Intelligent Science and Technology, Artificial Intelligence Research Institute;  Director, Science and Technology Aesthetic Education Center,  University of Science and Technology Beijing.
Dinh Nguyen Assistant Professor, The University of Alabama in Huntsville Federated Learning

The IEEE UV 2024 Conference’s focus on Human-centricity, Explainable AI, and Behavior Understanding will emphasize the importance of developing technology that not only drives innovation but also enhances the human experience. As AI becomes increasingly integral to urban living, understanding human intent and behavior will be crucial for creating more resilient, inclusive, and sustainable societies.

The keynote speakers at IEEE UV 2024 represent the forefront of these efforts, bridging the gap between advanced technological research and real-world applications. They will offer insights into how AI can be designed and implemented in a way that serves the needs of humanity while promoting a more sustainable and equitable world.