Shiqiang Wang
Scholar

Shiqiang Wang

Google Scholar ID: kA_vmOcAAAAJ
IBM T. J. Watson Research Center
Agentic AICollaborative & Federated AILLMsMachine LearningOptimization Algorithms
Citations & Impact
All-time
Citations
10,260
 
H-index
41
 
i10-index
82
 
Publications
20
 
Co-authors
71
list available
Resume (English only)
Academic Achievements
  • Recipient of 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 Runner-Up of ACM MobiHoc 2025; Best Student Paper Award of the Network and Information Sciences International Technology Alliance (NIS-ITA) in 2015.
Research Experience
  • Currently a Professor of Artificial Intelligence in the Department of Computer Science at the University of Exeter, UK; Previously a researcher at IBM T. J. Watson Research Center, NY, USA until October 2025.
Education
  • Received Ph.D. from Imperial College London, United Kingdom, in 2015.
Background
  • Research interests include the theory and practice at the intersection of artificial intelligence (AI), distributed computing, and optimization, particularly focusing on reliable and collaborative agentic AI, the interplay between optimization theory and large language models (LLMs) and generative AI, efficient model training and inference in distributed systems, and obtaining high-quality data and knowledge. Early contributor to edge computing and federated learning.
Miscellany
  • Has a very international background, having lived in four different countries; actively organizes workshops at the intersection of AI and distributed systems, and regularly participates in technical program committees (TPCs) of prominent conferences and review panels of research grants; frequently collaborates with students and faculty members across the world and has led multi-organizational research projects.