Mohammad Helal Uddin
Scholar

Mohammad Helal Uddin

Google Scholar ID: Okrc1XchN3oC
Graduate Research Assistant and PhD Candidate, LARRI, University of Louisville
Machine learningDeep learningModel OptimizationMedical informaticsData Science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
66
 
H-index
6
 
i10-index
2
 
Publications
13
 
Co-authors
0
 
Contact
Emailhelaluddinsimon@gmail.comCVOpen ↗LinkedInOpen ↗
Publications
3 items
HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision Transformer
2025
Cited
0
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems
2025
Cited
0
Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds
2025
Cited
0
Resume (English only)
Academic Achievements
  • Information not provided
Research Experience
  • Information not provided
Education
  • Ph.D. candidate in Computer Science and Engineering at the University of Louisville; Master's degree from the Department of Electronic Engineering, Kwangwoon University, South Korea; Bachelor’s degree in Computer Science and Engineering from American International University Bangladesh, graduated in 2017.
Background
  • Expertise in Deep Learning model optimization, multimodal fusion, and LLM (Large Language Model) compression. Passionate about applying advanced machine learning/deep learning techniques to real-world problems in a collaborative team environment. Known for strong communication skills and a commitment to teamwork, aiming to contribute effectively to innovative AI projects. Professional software engineer with 3+ years of industry work experience.
Miscellany
  • Personal interests and hobbies not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)