Ahmed Imtiaz Humayun
Scholar

Ahmed Imtiaz Humayun

Google Scholar ID: wJ2HUn4AAAAJ
Research Scientist, Google
Generative ModelingDeep Learning TheoryInterpretability
Citations & Impact
All-time
Citations
914
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Recipient of the Lowernstein Fellowship at Rice. Published papers in NeurIPS, ICML, ICLR, CVPR, ICASSP, and INTERSPEECH. Featured in multiple news sources including The New York Times, Communications of the ACM, The Telegraph, yahoo!finance, FORTUNE, WIRED, New Scientist, Futurism, Tom's Hardware, The Daily Star, The Business Standard, Prothom Alo (Bengali), and IEEE Signal Processing Magazine.
Research Experience
  • Student Researcher at Google Research from August 2023 to December 2024, working with teams across Research, Deepmind, and Security. Founded Bengali.AI, a non-profit that crowdsources vision-language datasets and open-sources them through benchmarking competitions.
Education
  • PhD, Rice University, Advisor: Dr. Richard Baraniuk (August 2023 to December 2024).
Background
  • Research Interests: How data, architectures, and objectives influence the 'shape' of functions approximated by Deep Neural Networks. Areas: Deep Learning, Geometry of Neural Networks, Synthetic Data Training.
Miscellany
  • Personal Interests: Thinking about synthetic data training and how it can be used to obtain desired properties in DNN functions.
Co-authors
0 total
Co-authors: 0 (list not available)