Akshay Rangamani
Scholar

Akshay Rangamani

Google Scholar ID: xaldisgAAAAJ
New Jersey Institute of Technology
Machine LearningSignal ProcessingSparsityOptimizationDeep Learning
Citations & Impact
All-time
Citations
683
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in conferences such as ICASSP 2025, ALT 2025, ICML 2023, etc.
Research Experience
  • Postdoctoral researcher at the Center for Brains Minds and Machines, MIT from 2020 to 2023. Currently, an Assistant Professor in the Data Science department at NJIT.
Education
  • PhD: Electrical and Computer Engineering, Johns Hopkins University, Advisor: Trac D. Tran; Postdoc: Center for Brains Minds and Machines, MIT, Advisor: Tomaso Poggio; B.Tech: Electrical Engineering, IIT Madras.
Background
  • Research Interests: Science of deep learning, including identifying sparse and low rank structures in deep networks. Areas: Signal processing, computer vision, biomedical signal processing, online social networks, and computational neuroscience.
Miscellany
  • Organizing a Deep Learning Reading Group, interested students can reach out to him.