I am a Staff Research Scientist at IBM T. J. Watson Research Center, NY, USA. Before joining IBM, I received my Ph.D. from Imperial College London, United Kingdom, in 2015.
My research focuses on the theory and practice at the intersection of distributed computing, machine learning, networking, and optimization, currently aiming at addressing two important and broadly defined questions:
The research has a broad range of applications including distributed data analytics, efficient model training and inference, edge-based artificial intelligence (Edge AI), and large language models (LLMs).
I was an early contributor to edge computing and federated learning, where my work has generated both academic and industrial impact. I received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2021, IEEE ComSoc Best Young Professional Award in Industry in 2021, IBM Outstanding Technical Achievement Awards (OTAA) in 2019, 2021, 2022, and 2023, multiple Invention Achievement Awards from IBM since 2016, Best Paper Finalist of the IEEE International Conference on Image Processing (ICIP) 2019, and Best Student Paper Award of the Network and Information Sciences International Technology Alliance (NIS-ITA) in 2015.
I serve as an associate editor of the IEEE Transactions on Mobile Computing and IEEE Transactions on Parallel and Distributed Systems. I have also been actively organizing workshops at the intersection of edge computing and machine learning, and regularly participate in technical program committees (TPCs) of prominent conferences and review panels of research grants. In addition, I frequently collaborate with students and faculty members at academic institutions and have led multi-organizational research projects.
Feel free to drop me an email if you share common interests.
Note: Student co-authors (co-)mentored by me and named before me are underlined
Shortcut to: Book Chapters | Journal Papers | Conference Papers | Patents | Thesis | Technical Reports
Patent applications and granted patents that have been published in public are listed below. Recent applications that have not been published remain confidential and are not included in this list. Note: Some items list inventors in alphabetical order (by last name or first name).
Copyright notice: All the manuscripts posted on this site are the authors' own versions, for which electronic posting is allowed by each publisher's policy. The published version can be found using the DOI link (if available) for each paper.
For IEEE publications: © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
For ACM publications: © {Owner/Author | ACM} {Year} (see details inside each paper below). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in {Source Publication}, http://dx.doi.org/10.1145/{number} (see details for each paper below).
For other publications: Separate notices appear inside each document.
(Selected)
Panelist/Reviewer for Grant Proposals
Associate Editor
Program Chair
Track/Area Chair
Technical Program Committee (TPC) Member/Reviewer
Workshop Organization
Journal Reviewer for the IEEE Journal on Selected Areas in Communications, IEEE Transactions on Cloud Computing, IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Network Science and Engineering, IEEE/ACM Transactions on Networking, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, Journal of Parallel and Distributed Computing, Nature Computational Science, Proceedings of the IEEE, etc.
(This list does not include paper presentations.)
Shiqiang Wang is a Staff Research Scientist at IBM T. J. Watson Research Center, NY, USA. He received his Ph.D. from Imperial College London, United Kingdom, in 2015. His research focuses on the intersection of distributed computing, machine learning, networking, and optimization, currently emphasizing on quality and efficiency aspects related to distributed data and models, which has a broad range of applications including distributed data analytics, efficient model training and inference, edge-based artificial intelligence (Edge AI), and large language models (LLMs). He has made foundational contributions to edge computing and federated learning that generated both academic and industrial impact. Dr. Wang serves as an associate editor of the IEEE Transactions on Mobile Computing and IEEE Transactions on Parallel and Distributed Systems. He has also been actively organizing workshops at the intersection of edge computing and machine learning, and regularly participates in technical program committees (TPCs) of prominent conferences and review panels of research grants. He received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2021, IEEE ComSoc Best Young Professional Award in Industry in 2021, IBM Outstanding Technical Achievement Awards (OTAA) in 2019, 2021, 2022, and 2023, multiple Invention Achievement Awards from IBM since 2016, Best Paper Finalist of the IEEE International Conference on Image Processing (ICIP) 2019, and Best Student Paper Award of the Network and Information Sciences International Technology Alliance (NIS-ITA) in 2015. He is a senior member of the IEEE.