Atif Hassan
AAAI 2025 Conference Program Committee Member at Association for the Advancement of Artificial Intelligence (AAAI)
Kolkata, West Bengal, India
Summary
👤
Senior🎓
Top SchoolAtif Hassan is a theoretical machine learning researcher and PhD candidate at IIT Kharagpur with nine years of experience building deep learning and NLP solutions, particularly in biomedical domains. He developed a novel architecture for extreme multi-label semantic indexing that outperforms the industry-standard MTI and invented a non-contextual word-embedding that beat FastText on drug–disease association tasks. Beyond academia he collaborates with Stanford on fMRI representation learning and has contributed DL research with TCS, while also running DeepwizAI to showcase applied work. Selected as an AAAI 2025 Program Committee member, he blends rigorous theory with practical system-building—evidenced by creating IIT Kharagpur’s high-traffic internal website and multiple production-ready tools. Based in Kolkata, he is comfortable spanning research, engineering, and productization, and often leverages novel embeddings to unlock low-resource biomedical and neuroscience tasks.
9 years of coding experience
Science, 92%, Science, 92% at Don Bosco High School - IndiaDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Indian Institute of Technology, KharagpurBtech in Computer Science and Engineering, Computer Science, 8.45, Btech in Computer Science and Engineering, Computer Science, 8.45 at Heritage Institute of Technology, Kolkata
Stackoverflow
1,062reputation
56kreached
23answers
4questions
tensorflow
top-5%
keras
top-5%
Github Skills (39)
probability10
feature-selection10
model-compression10
pruning10
logistic-regression10
subset10
markov10
principal-component-analysis10
t-test10
machine-learning-algorithms9
lime9
statistics9
tensorflow9
statsmodels9
keras9
Programming languages (2)
Github contributions (5)
atif-hassan/PyImpetus
Sep 2020 - Aug 2022
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Contributions:1 review, 98 commits, 5 PRs in 1 year 11 months
pythonprincipal-component-analysisfeature-basedselectionselection-algorithm
atif-hassan/Clustering-based-Topic-Recommendation
Feb 2017 - Apr 2020
Contributions:12 commits, 11 pushes, 1 branch in 3 years 3 months
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