Biography

Mohammad Mahmudul Alam is a Ph.D. candidate in Computer Science at the University of Maryland, Baltimore County (UMBC). His ongoing research involves neuro-symbolic representations and their applications to deep learning. He is currently working as Graduate Research Assistant (GRA) in the Cognition, Robotics, and Learning (CORAL) lab at UMBC where he is advised by Professor Dr. Tim Oates and Dr. Edward Raff. He has completed his B.Sc. in Electrical and Electronic Engineering (EEE) from the Bangladesh University of Engineering and Technology (BUET).

Interests

  • Deep Learning
  • Natural Language Processing
  • Neuro-symbolic Representations

Education

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    Ph.D. candidate in Computer Science 2024 (Expected)

    University of Maryland, Baltimore County

    Maryland, USA

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    BSc in Electrical and Electronic Engineering 2019

    Bangladesh University of Engineering and Technology

    Dhaka, Bangladesh

Selected Publications

Recent News

Oct 20, 2022
NeurIPS Workshop Paper!

New paper in NeurIPS Workshop on I Can’t Believe It’s Not Better (ICBINB): Understanding Deep Learning Through Empirical Falsification


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June 16, 2022
HRR Python Package!

A python library developed for neuro-symbolic computations such as binding and unbinding of vector symbolic architecture known as Holographic Reduced Representations supports PyTorch, TensorFlow, Jax, and Flax.


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May 15, 2022
Paper in ICML 2022!

Paper accepted titled "Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations" in 39th International Conference on Machine Learning (ICML), July 2022, Baltimore, MD, USA.


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2022-23 Copyright: Mohammad Mahmudul Alam