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南洋理工大学安波教授主页

GAIR DAO 2025-04-25

安波

南洋理工大学校长讲席教授、人工智能系主任、人工智能交叉研究院院长；

President's Chair Professor
College of Computing and Data Science
Nanyang Technological University

Email: boan@ntu.edu.sg
Phone: (65) 6790-5389
Fax: (65) 6792-6559
Address: Blk N4-02b-55, 50 Nanyang Avenue, Singapore 639798

个人简介

Bo An is a President's Chair Professor and Head of Division of Artificial Intelligence at the College of Computing and Data Science of the Nanyang Technological University (NTU). He is also Director for Centre of AI-for-X of NTU. He was a Nanyang Assistant Professor during 2014-2018. Prior to join NTU in 2013, he spent one year as an Associate Professor at the Institute of Computing Technology of the Chinese Academy of Sciences. During October 2010 to June 2012, he was a Postdoctoral Researcher at the University of Southern California, working with Professor Milind Tambe. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst, where he was advised by Professor Victor Lesser. Prior to that, he received the B.Sc. and M.Sc. degrees in Computer Science from Chongqing University, China.

His research interests include artificial intelligence, multi-agent systems, computational game theory, reinforcement learning, automated negotiation, and optimization. He has published over 150 referred papers at top conferences (AAMAS, IJCAI, AAAI, ICML, NeurIPS, ICLR, KDD, ICAPS, EC, UAI, AISTATS, and WWW) and journals (JAAMAS, AIJ and ACM/IEEE Transactions). His research results in complex resource allocation have been applied to e-commerce, sensor networks, distributed streaming processing systems, and cloud computing. His work on applying game theory to security has been applied to develop game-theoretic randomization software that is currently deployed by the United States Federal Air Marshals Service, the United States Coast Guard, and wildlife conservation organizations. He has served as program committee members for many top conferences and was co-chair for some key international conferences/symposia. He is the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, 2018 Nanyang Research Award (Young Investigator), and 2022 Nanyang Research Award. His publications won the Best Innovative Application Paper award at AAMAS'12 and the Innovative Application Award at IAAI'16. He was invited to give Early Career Spotlight talk at IJCAI'17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He is on the IJCAI Board of Trustees and will be Program Chair of IJCAI’27. He is Editor-in-Chief of IEEE Intelligent Systems. He is the Associate Editor of Artificial Intelligence Journal (AIJ), Journal of Autonomous Agents and Multi-agent Systems (JAAMAS), ACM Transactions on Intelligent Systems and Technology, and ACM Transactions on Autonomous and Adaptive Systems and a member of the editorial board of Journal of Artificial Intelligence Research (JAIR). He was elected to the board of directors of IFAAMAS, senior member of AAAI, and Distinguished member of ACM.

研究方向

Artificial intelligence, multi-agent systems, computational game theory, electronic commerce, reinforcement learning, machine learning, optimization.

教育经历

University of Massachusetts Amherst, Amherst, MA, USA. (2006 – 2010)
Ph.D in Computer Science, defended in September 2010, conferred in February 2011
Advisor: Victor Lesser
Thesis: Automated Negotiation for Complex Multi-Agent Resource Allocation
Committee: Victor Lesser (chair), Jim Kurose, Shlomo Zilberstein, Michael Zink

Chongqing University, Chongqing, China. (2003 – 2006)

M.Sc in Computer Science, June 2006

Advisor: Daijie Cheng

Chongqing University, Chongqing, China. (1999 – 2003)

B.Sc in Computer Science, June 2003

研究职位

September 2022 –Now

Nanyang Technological University,President's Chair ProfessorCollege of Computing and Data Science

May 2024 –

Nanyang Technological University,Head of Division of Artifcial Intelligence, College ofComputing and Data Science

December 2024 –

Nanyang Technological University,Director for Centre of AI-for-X

August 2020 – November 2024

Nanyang Technological University,Co-Director for Artificial Intelligence Research Institute (AI.R)

April 2022 – December 2023

Nanyang Technological University,Deputy Director of the Renaissance Engineering Programme (REP)

March 2018 – April 2024

Nanyang Technological University,Assistant Chair (nnovation)School of Computer Science and Engineering

April 2019 – August 2022

Nanyang Technological University,President’s Council Chair Associate Professor in Computer Science and Engineering

March 2018 – August 2022

Nanyang Technological University,Associate Professor (tenured)School of Computer Science and Engineering

September 2014 – February 2018

Nanyang Technological University,Nanyang Assistant Professor School of Computer Science and Engineering

July 2013 – August 2014

Nanyang Technological University,Assistant Professor School of Computer Science and Engineering

June 2012 – June 2013

Chinese Academy of Sciences,Associate Professor Institute of Computing Technology

October 2010 – June 2012

University of Southern California,Postdoctoral Research Associate Teamcore Research Group (Milind Tambe)

September 2006 – September 2010

University of Massachusetts, Amherst,Research Assistant Multi-agent Systems Lab (Victor Lesser)

Summer 2007

IBM T.J.Watson Research Center,Research Intern Next Generation Distributed Systems Dept

个人奖项

Nanyang Research Award, 2022

ACM Distinguished Member, 2021

President’s Council Chair in Computer Science and Engineering, 2019

AAAI Senior Member, 2019

Nanyang Research Award (Young Investigator), 2018

AI’s 10 to Watch, 2018

Winner of the Microsoft Collaborative AI Challenge, 2017

Early Career Spotlight Talk, IJCAI’2017

Innovative Application Award, Innovative Applications of Artificial Intelligence (IAAI) 2016

Nanyang Assistant Professorship (NAP)

Daniel H. Wagner Prize for Excellence in Operations Research Practice, INFORMS

National 1000 Young Talents Program

Best Innovative Application Paper at AAMAS’2012

Operational Excellence Award Commander

The 2010 IFAAMAS (International Foundation for Autonomous Agents and Multi-Agent Systems) Victor Lesser Distinguished Dissertation Award.

个人论文

Highly Cited:
Xiong, Y., Gan, J., An, B., Miao, C., & Bazzan, A. L. (2018). Optimal electric vehicle fast charging station placement based on game theoretical framework. IEEE Transactions on Intelligent Transportation Systems, 19(8), 2493-2504.

An, B., Lesser, V., & Sim, K. M. (2011). Strategic agents for multi-resource negotiation. Autonomous Agents and Multi-Agent Systems, 23(1), 114-153.

Hu, Y., Gao, Y., & An, B. (2014). Multiagent reinforcement learning with unshared value functions. IEEE Transactions on Cybernetics, 45(4), 647-662.

An, B., Sim, K. M., Tang, L. G., Li, S. Q., & Cheng, D. J. (2006). Continuous-time negotiation mechanism for software agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 36(6), 1261-1272.
Wang, W., Jiang, J., An, B., Jiang, Y., & Chen, B. (2016). Toward efficient team formation for crowdsourcing in noncooperative social networks. IEEE Transactions on Cybernetics, 47(12), 4208-4222.
An, B., Ordóñez, F., Tambe, M., Shieh, E., Yang, R., Baldwin, C., ... & Meyer, G. (2013). A deployed quantal response-based patrol planning system for the US Coast Guard. Interfaces, 43(5), 400-420.
Hu, Y., Gao, Y., & An, B. (2014). Accelerating multiagent reinforcement learning by equilibrium transfer. IEEE Transactions on Cybernetics, 45(7), 1289-1302.
Fang, F., Nguyen, T. H., Pickles, R., Lam, W. Y., Clements, G. R., An, B., ... & Lemieux, A. (2017). PAWS—A deployed game-theoretic application to combat poaching. AI Magazine, 38(1), 23-36.
Yu, H., Shen, Z., Miao, C., An, B., & Leung, C. (2014). Filtering trust opinions through reinforcement learning. Decision Support Systems, 66, 102-113.
An, B., Shieh, E., Tambe, M., Yang, R., Baldwin, C., DiRenzo, J., ... & Meyer, G. (2012). PROTECT--A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. AI Magazine, 33(4), 96-110.

Click here for more publications.

Recent Publication（近期发表）

Feng, L., Huang, J., Shu, S., & An, B. (2020). Regularized matrix factorization for multilabel learning with missing labels. IEEE Transactions on Cybernetics, 52(5), 3710-3721.
Aung, A. P. P., Jayavelu, S., Li, X., & An, B. (2022). Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing, 481, 182-192.
An, B., Sun, S., & Wang, R. (2022). Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intelligent Systems, 37(2), 23-26.
Wei, H., Xie, R., Feng, L., Han, B., & An, B. (2022). Deep Learning From Multiple Noisy Annotators as A Union. IEEE Transactions on Neural Networks and Learning Systems.
Deng, Y., & An, B. (2021). Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function. Autonomous Agents and Multi-Agent Systems, 35(2), 1-40.
JC.Jiang, B. An, YC. Jiang, P. Shi, Z. Bu, J. Cao. (2019). Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing. IEEE Transactions on Parallel and Distributed Systems, 30(8), 1722-1737.
JC. Jiang, B. An, YC. Jiang, DH. Lin. (2019). Context-aware Reliable Crowdsourcing in Social Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(2), 617-632.
JC. Jiang, B. An, YC. Jiang, DH. Lin, Z. Bu, J. Cao, Z. Hao. (2018). Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Transactions on Autonomous and Adaptive Systems, 13(2), Article 8.