Hamidreza Mahyar
Scholar

Hamidreza Mahyar

Google Scholar ID: mbme0d0AAAAJ
Assistant Professor, McMaster University
Machine LearningGraph Neural NetworksGraph MLLarge Language Models
Citations & Impact
All-time
Citations
542
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Publications: ACM Computing Surveys, Journal of Signal Processing Systems, Lab on a Chip, ICMLA 2022, CVPR 2022, IEEE JTEHM, IEEE TDSC, etc.; Awards: Vector Scholarship in AI (2023), McMaster Teaching Merit Award 2022; Industrial Fund: BASF SE for enabling Deep Learning on Graphs for Natural Language Understanding.
Research Experience
  • Postdoctoral Research Fellow: Boston University and TU Wien, working with Eugene Stanley and Radu Grosu; Deep Learning Scientist: Infineon Technologies (involved in SemI40 and iDev40 projects); Director of AI Systems: Brainmaven; CTO: Mind Lab 56.
Education
  • Ph.D. in Computer Science, Advisor: Unknown, University: Sharif University of Technology.
Background
  • Research interests: Intersection of Machine Learning and Network Science, with a current emphasis on Graph Neural Networks for applications in Recommendation Systems, Machine Vision, Generative AI, and Graph NLP. Brief introduction: Assistant Professor at the Faculty of Engineering, McMaster University.
Miscellany
  • Has LinkedIn and Google Scholar profiles; Member of the Technical Committee, Efficient NLP Workshop II, NeurIPS 2022.