Contact Information

E-mail Address: [email protected]

Phone Number: (616) 331-3884

Research Interests

Semi-supervised active learning

Generative AI, Large Language Models(LLMs)

Probabilistic graphical models

Supply chain optimization

Machine learning in Natural Language Processing, Computer Vision, Health Informatics, and Cybersecurity

Professional Activities

Over the last ten years, as an Applied R&D Scientist at multiple North American companies, I have participated in building and delivering large scale AI projects for various domains such as Natural Language Processing, Computer Vision, Supply Chain, Aviation, Cybersecurity, and Healthcare.

In addition to developing functional deep learning solutions, I have also led data science teams, and coached numerous AI scientists.

As a reviewer for the following top tier ML conferences: NeuriPS, ICML and ICLR.

Personal Interests

Traveling

Badminton

Gardening

Teaching Interests

Data science, Data mining and knowledge discovery

Big Data

Machine Learning

Deep Learning

Probabilistic graphical models

Data Structures and algorithms

Python

Recent Publications

• A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation, ACM Transactions on Knowledge Discovery from Data (TKDD), 2019.
  • Kamrul Hasan, Chris Pal
• Image Processing System for Deep Fashion Color Recognition, U.S. provisional patent application no. 62/478, 211, March, 2017.
  • Kamrul Hasan, Marie-Claude Côté,
• Learning From Weakly Labeled Faces and Video in the Wild, Pattern Recognition, Vol. 48, Issue 3, 2015, pp. 759-771.
  • David Rim, Md Kamrul Hasan, Fannie Puech, and Chris Pal