Alireza Morsali
Scholar

Alireza Morsali

Google Scholar ID: y-RVrUkAAAAJ
McGill University
Artificial IntelligenceMachine LearningSignal ProcessingComputer Vision
Citations & Impact
All-time
Citations
338
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Holds two U.S. patents: 'Efficient Implementation of Hybrid Beamforming' and 'Efficient Receiver Combining for Hybrid Analog/Digital Beamforming'. Published numerous papers, including 'Convex-Concave Programming: An Effective Alternative for Optimizing Shallow Neural Networks' in IEEE Transactions on Emerging Topics in Computational Intelligence, and 'MLP-Attention: Improving Transformer Architecture with MLP Attention Weights' at ICLR 2023.
Research Experience
  • Currently a Senior Data Scientist at Global Relay and the founder and research director of DG Sculptor, a nonprofit focused on AI and machine learning research. Previously served as the director of research and development at Humanitas Solutions, leading multiple R&D projects.
Education
  • Ph.D. from McGill University, followed by a year as a research associate at the Statistical Signal Processing Lab.
Background
  • Research interests include advanced AI/ML-based multi-media signal processing, speech synthesis, and implicit neural representation for AR/VR. Skilled in advanced signal processing, machine learning, and various areas of applied mathematics such as matrix analysis and optimization theory. Known for out-of-the-box thinking and debugging skills.
Miscellany
  • A problem-solver who emphasizes the importance of the scientific method, believing that understanding the problem is more crucial than relying solely on specific tools.