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Dr Han Yu is a Nanyang Assistant Professor (NAP) in the College of Computing and Data Science (CCDS), 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. His work focuses on trustworthy federated ubiquitous learning (TrustFUL) and AI-powered ethical crowd-computing (APEC). He has published over 250 research papers in leading international (e.g., AAAI, AAMAS, ACM MM, CIKM, CVPR, ECAI, EMNLP,  ICASSP, 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 serving as the IJCAI Sponsorship Officer General. 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, and selected as one of the JCI Ten Outstanding Young Persons (TOYP) of Singapore (Scientific and/or Technological Development) in 2022.