Xiaodan Zhu PhD

Associate Professor

Electrical and Computer Engineering, Faculty
Phone: 613-533-6000 ext. 79286
Mitchell Hall, Room: 245 E

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Expertise: Deep Learning, Artificial Intelligence, Natural Language Processing, Machine Learning
Xiaodan  Zhu
Biography Research Teaching Publications Awards & Grants Graduate Students
Dr. Xiaodan Zhu is an Associate Professor of the Department of Electrical and Computer Engineering. He leads the Text Analytics and Machine Learning Lab (TAML). Dr. Zhu received his Ph.D. from the Department of Computer Science at the University of Toronto in 2010 and his Masters of Engineering from the Department of Computer Science and Technology at Tsinghua University in 2000. He was a researcher of National Research Council Canada from 2010 to 2017.

Dr. Zhu and his students published at top machine learning, natural language processing, and artificial intelligence conferences and journals such as ICML, ACL, IJCAI, JAIR, IEEE/ACM TASLP, JASIST, JAMIA, NAACL, EACL, IPM, etc. His recent work has received the Adam Kilgarriff *SEM Best Paper Award for Lexical Semantics.

Recently he serves as a Chair for The 33rd Canadian Conference on Artificial Intelligence. He serves for ACL '19 Best Paper Award Committee. He has been as an Associate Editor for the Computational Intelligence journal since 2015. Dr. Zhu is Co-Chair for SemEval '20, '19; Publication Chair for COLING '18; Area Chair for ACL '19, '18, EMNLP '19, NAACL '19, and COLING '18; Workshop Chair for COLING '20. He is an active reviewer for NIPS, AAAI, AISTATS, IJCAI, ACL, TKDE, EMNLP, ICASSP, TASLP, COLING, JBI, ICASSP, INTERSPEECH, ect.

Dr. Zhu was an Evaluation Group Member of NSERC Discovery Grants (Computer Science Group, 2017), Canada. He also served as an external reviewer for government grants such as Discovery Grants, Industrial Research & Development Fellowship, Research Support for New Academics (Québec), General Research Fund (Hong Kong), and Faculty Development Scheme (Hong Kong). He also helped review startup companies' proposals (e.g., for CDL of University of Toronto).

In the past, Dr. Zhu has worked with industrial research labs either as a research intern (Google (New York), IBM T.J. Watson Research Center), a visiting scholar (Microsoft Research Asia), or as a full-time researcher (Intel's China Research Center).
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Artificial Intelligence

For more information on Dr. Zhu's research, please visit Dr. Zhu's website or his Google Scholar profile.

  • ELEC 425/825: Machine Learning and Deep Learning
  • ELEC 880: Machine Learning for Natural Language Processing
  • ELEC 279: Introduction to Object Oriented Programming

For publications please visit Dr. Zhu's website.

For awards and grants, please visit Dr. Zhu's website.

For Graduate student information , please visit Dr Zhu's website.



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