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Name: Han Yu
Position: Nanyang Assistant Professor (NAP) Office: N4-02c-109, School of Computer Science and Engineering (SCSE) Nanyang Technological University (NTU) 50 Nanyang Avenue, Singapore 639798 Lab: Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab ![]() Email: ![]() ORCID: orcid.org/0000-0001-6893-8650, Complete Website, Google Scholar, Download Full CV |
Dr Han Yu is a Nanyang Assistant Professor (NAP) in the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He has been a Visiting Scholar at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) from 2017 to 2018. Between 2015 and 2018, he held the prestigious Lee Kuan Yew Post-Doctoral Fellowship (LKY PDF) at the Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY). Before joining NTU, he worked as an Embedded Software Engineer at Hewlett-Packard (HP) Pte Ltd, Singapore. He obtained his PhD from the School of Computer Science and Engineering, NTU in 2014. During his PhD study, he held the prestigious Singapore Millennium Foundation (SMF) PhD Scholarship. His work focuses on trustworthy federated ubiquitous learning (TrustFUL) and AI-powered ethical crowd-computing (APEC). He has published over 200 research papers in book chapters, leading international conferences (e.g., AAAI, AAMAS, ACM MM, CIKM, CVPR, ECAI, EMNLP, ICME, ICWS, IJCAI, INFOCOM, NAACL, NeurIPS, SIGIR, SIGMOD, WWW) and journals (e.g., PIEEE, TII, TIST, TKDE, TNNLS). He co-authored the book Federated Learning - the first monograph on the topic of federated learning. His research work has been recognized with multiple scientific awards. In 2021, he co-founded the Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab (https://trustful.federated-learning.org/). He has been serving as an Associate Editor of IEEE TNNLS. Since 2023, he has been elected as the IJCAI Sponsorship Officer General by the IJCAI Board of Trustees. He is a Distinguished Member of CCF, and a Senior Member of AAAI and IEEE. For his continued contributions to the field of trustworthy AI and real-world impact in the society, he has been identified as one of the World's Top 2% Scientists in AI by Stanford University since 2022, and selected as one of the JCI Ten Outstanding Young Persons (TOYP) of Singapore (Scientific and/or Technological Development) in 2022.