Dr. Mohammad Mahmudul Alam [MLD]

Assistant Professor & Graduate Coordinator

Ph.D. & M.Sc. in Computer Science, University of Maryland, Baltimore County (UMBC), United States

B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh

Office: SAC 924
Email:
Website:
Google Scholar URL: https://scholar.google.com/citations?user=9z9HFSEAAAAJ&hl=en
Scopus Profile: https://www.scopus.com/authid/detail.uri?authorId=57216749861

Biography

Mohammad Mahmudul Alam, Ph.D. is a deep learning specialist with over six years of hands-on experience, including internships at Amazon Web Services (AWS) and Analog Devices Inc. (ADI). He has a strong track record of publications in prestigious conferences such as NeurIPS, ICML, AISTATS, AAAI, KDD, and CVPR. Dr. Alam earned his Ph.D. and M.Sc. in Computer Science from the University of Maryland, Baltimore County (UMBC) and his Bachelors in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET).

Research Areas

Research Interests

Deep Learning, Computer Vision, Generative AI, Sequence Modeling, Natural Language Processing

Teaching

Selected Publications

Journals
  • Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman, “Unified learning approach for egocentric hand gesture recognition and fingertip detection,” Pattern Recognition, Elsevier Science Publishers, 2022
Conference Papers
  • Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt, “A Walsh Hadamard Derived Linear Vector Symbolic Architecture,” In 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
  • Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt, “Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection,” In 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 2024
  • Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt, “Recasting Self-Attention with Holographic Reduced Representations,” In 40th International Conference on Machine Learning (ICML), Honolulu, HI, USA, 2023
  • Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt, “Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations,” In 39th International Conference on Machine Learning (ICML), Baltimore, MD, USA, 2022

Presentations at National & International Conferences

  • Presented project “Automated Virtual Product Placement and Assessment in Images using Diffusion Models” at the Amazon Computer Vision Conference (ACVC), 2023, Palo Alto, CA, USA.
  • Presented paper and poster titled “Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations” at the 39th ICML, 2022, Baltimore, MD, USA.
  • Presented paper titled “Detection and Tracking of Fingertips for Geometric Transformation of Objects in Virtual Environment” at the 16th AICCSA, 2019, Abu Dhabi, UAE.

Membership in Professional Organizations

Reviewer

  • Reviewer for NeurIPS 2025, one of the premier conferences in machine learning and artificial intelligence.
  • Peer reviewer for the 1st International Conference on Data Science, AI, and Applications (ICDSAIA), organized in collaboration with the University of Salford, UK.