Mohammad Mahmudul Alam is a seasoned deep learning professional with 5+ years of hands-on experience, including an Applied Scientist Internship at Amazon Web Services (AWS) and a strong track record of publications at ICML, AAAI, NeurIPS, and KDD. Currently, he is a Ph.D. candidate in Computer Science at the University of Maryland, Baltimore County (UMBC) advised by Professor Dr. Tim Oates and Dr. Edward Raff. He is engaged in researching sequence modeling methods for both Natural Language Processing (NLP) and general-purpose applications.
Holographic Global Convolutional Networks (HGConv) paper has been accepted from 27th AISTATS conference.
HGConv and Subitizing both papers are accepted in AAAI 2024 workshops.
I receive tons of message requests from all over the world regarding helping individuals with their projects/thesis. My sincere apologies to them that I would not be able to do so and I will not respond to such requests. Contact me if you need genuine information or have specific questions regarding my project where you need clarification. Please consider not spamming.