2026 2nd International Conference on Advanced Computing and Intelligent Robotics Applications
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Keynote Speakers (AICRA 2026)

Prof. Nan Zhao

Prof. Nan Zhao

Dalian University of Technology, China

Prof. Nan Zhao is a professor at Dalian University of Technology and a recipient of the Young Changjiang Scholar Award from the Ministry of Education. His research focuses on wireless communications and networking. He has been recognized as a Highly Cited Researcher globally, and has received the IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award, the Youth Science and Technology Award from the China Institute of Communications, the Natural Science Award from the Ministry of Education, the Natural Science Award of Liaoning Province, as well as the Natural Science Award and Technology Invention Award from the China Institute of Communications. His Google Scholar citations exceed 23,000. He has served as the principal investigator for several major research projects, including a project under the National Key Research and Development Program and a key project of the National Natural Science Foundation of China's Joint Fund for Regional Innovation and Development. He has also served on the editorial boards of more than ten renowned domestic and international journals, including IEEE Communications Surveys & Tutorials.

Prof. Yuan Cao

Prof. Yuan Cao

Beijing Jiaotong University, China

Prof. Yuan Cao is a Professor and PhD Supervisor at the School of Automation and Intelligence, Beijing Jiaotong University. His research focuses on safety assurance and health management of train operation control systems. He has tackled a series of technical challenges including quantitative evaluation of safety indicators, fault feature extraction, state perception and prediction. He has developed an intelligent monitoring and operation & maintenance support system with multiple indicators reaching the world-leading level. The research outcomes have been deployed across 18 railway bureaus and 15 urban rail transit networks in China, improving operational safety and maintenance efficiency. He serves as the Chief Scientist for a National Key R&D Program project and has hosted three key NSFC Projects. He has won three First-Class Prizes of Science and Technology Award from the China Railway Society (all ranked No.1) and one Second-Class Prize of Beijing Science and Technology Progress Award (ranked No.1). His honors include the Zhan Tianyou Railway Science and Technology Contribution Award, Mao Yisheng Railway Science and Technology Award, Young and Middle-aged S&T Leading Talent of the Ministry of Transport, and being listed among the World's Top 2% Scientists. He has published 60 high-level SCI journal papers as the first or corresponding author, with total SCI citations exceeding 3,600. He holds editorial positions including Associate Editor and Editorial Board Member for multiple prestigious international journals such as AAAP, TSE and IEEE ITS Magazine.

Prof. Shuhang Zhang

Asst. Prof. Shuhang Zhang

Peking University, China

Dr. Shuhang Zhang received the Ph.D degree and B.S. degree in electronic engineering from the School of Electrical Engineering and Computer Science, Peking University, Beijing, China, in 2021 and 2016, respectively. Since 2025, he has worked in the School of Electronics, Peking University as an Assistant Professor. His current research interests include low-altitude wireless networks and collaborative AI in wireless networks. He has won the 2026 IEEE Communication Society Asia-Pacific Young Researcher Award, 2025 IEEE TCCN Publication Award, 2021 IEEE Communication Society Heinrich Hertz Award, 2021 IEEE Communication Society Asia-Pacific Outstanding Paper Award, etc. He is an associate editor of IEEE Internet of Things Journal and IEEE Transactions on Network Science and Engineering.

Prof. Qi Wang

Prof. Qi Wang

Northeastern University, China

Prof. Qi Wang is the Associate Dean, Professor, and Ph.D. advisor at the School of Information Science and Engineering, Northeastern University. He is a Distinguished Professor under the Ministry of Education's "Changjiang Scholars" Program, Young Top Talent under the National "Ten Thousand Talents Program," and Young Top Talent under the Liaoning Province "Xingliao Talents Program." His primary research areas include biosensors, fiber-optic sensing, and computational imaging. He has published over 200 papers in high-impact journals such as the IEEE Transactions series, BB, and SNB, and holds 30 authorized patents; he has served as the chief editor of five textbooks and was invited to co-author two English-language monographs. He has led seven projects funded by the National Natural Science Foundation of China and more than 20 provincial and ministerial-level projects. He has received one First Prize in Natural Sciences from Liaoning Province; one Second Prize in Natural Sciences from the Chinese Association of Automation; one Second Prize in Innovation from the Entrepreneurship Award of the China Invention Association; two Second Prizes in Natural Sciences from Liaoning Province; and one Second Prize in Natural Sciences from Hebei Province. He has also received the Second Prize for Teaching Achievements from the Chinese Society of Instrumentation, as well as First and Second Prizes for Teaching Achievements from Liaoning Province.

Prof. Qinghe Du

Prof. Qinghe Du

Xi'an Jiaotong University, China

Prof. Qinghe Du is a Professor and Director of the Institute of Wireless Communications, School of Information and Communications Engineering, Xi'an Jiaotong University, China. His research interests include wireless communications and networking, intelligent information and signal processing, and artificial intelligence. In recent years, he has undertaken more than 30 national, provincial, and industry-sponsored research projects. He has published over 150 papers in international journals and conferences and holds more than 50 Chinese invention patents and two U.S. patents. He has received multiple journal and conference Best Paper Awards, as well as provincial and ministerial science and technology awards.

Prof. Edith C.H. Ngai

Assoc. Prof. Edith C.H. Ngai

The University of Hong Kong, China

Dr. Edith C.H. Ngai is currently an Associate Professor in the Department of Electrical and Computer Engineering, The University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology, Uppsala University, Sweden. Her research interests include Internet-of-Things, edge intelligence, and smart cities. She was a VINNMER Fellow awarded by Swedish Governmental Research Funding Agency VINNOVA in 2009. Her co-authored papers received a Best Paper Award in QShine 2023, Best Paper Runner-Up Awards in IEEE IWQoS 2010 and ACM/IEEE IPSN 2013, and Best paper candidate in ACM BuildSys 2024. She was an Area Editor of IEEE Internet of Things Journal from 2020 to 2022. She is currently an Associate Editor in IEEE Transactions of Mobile Computing, IEEE Network, and Computer Networks. She served as a program chair in ACM womENcourage 2015 and a TPC co-chair in IEEE SmartCity 2015, IEEE GreenCom 2022, IEEE/ACM IWQoS 2024, IEEE CloudCom 2025, and ACM/IEEE SEC 2026. She received a Meta Policy Research Award in Asia Pacific in 2022. She was selected as one of the N2Women Stars in Computer Networking and Communications in 2022. She is recognized by Clarivate Analytics as a top 1% scholar in citations (2021-2026) and Stanford's List of Top 2% Scientists (2020-2026) in Networking and Telecommunications. She was a Distinguished Lecturer in IEEE Communications Society in 2023-2024. She was elevated to ACM Distinguished Member in 2025 for her contributions on Internet of Things and mobile edge computing.