I am Azmine Toushik Wasi, a 4th year undergrad (only thesis defense remaining) in Industrial and Production Engineering at Shahjalal University of Science and Technology, Bangladesh.
My core research focuses on exploring AI4Science, Biomedical AI, Graph Neural Networks (GNNs), AI Agents and Reasoning, with an emphasis on structural biology, therapeutic, clinical, and molecular ML domains. In addition to that, my other research interests include interdisciplinary research in Agentic AI (LLM Agents and more in different domain) and Human-Centered AI (HCI, HAI) with NLP (Multilinguality, Bias and Fairness) and AI in Industrial Engineering. I am looking forward to pursue a PhD in Spring/Fall 2026 to continue my research.
I'm collaborating with Riashat Islam (Microsoft Research) on molecular ML, generative AI, and reasoning, and have worked with Prof. Chae (HYU) on GNNs, Computational Drug Discovery, and NLP-HCI-HAI, as well as Prof. Min Xu (CMU) on biomolecules. I also collaborate with researchers from Cohere for AI and Harvard University. I'm a dedicated participant in HTGAA 2025 (MIT Media Lab), with regular assignments and final projects (protein engineering). As the founder of CIOL, I mentor young researchers and collaborate with Prof. Ahsan (OU) and Prof. Bappy (LSU) on GNNs, AI Agents and digital twins for industrial and medical applications.
My research has been published in prestigious venues such as ICLR, WWW, COLING, DASFAA, ACCV, CSCW, and workshops of NeurIPS, ICLR, ICML, AAAI, ACL, EMNLP, NAACL and CHI, with ongoing reviews in several A*/A conferences and Q1 Journals. I regularly serve as reviewer and program chair/committee member for workshops in top AI-ML conferences. I am also a Kaggle Grandmaster (3rd GM in Bangladesh). Additionally, I have 3 years of experience in AI-integrated product/content automation, and product and project management.
I am a quick learner and highly adaptable, capable of leading projects and teams. I enjoy exploring new topics, sharing knowledge, refining existing skills, experimenting with new techniques, and challenging my capabilities.
View my Curriculum Vitae → Feel free to email me (azminetoushik dot wasi at gmail dot com) if you're interested in collaboration or discussing research. I'm open to new ideas and collaborations.
→ View my list of Rejections and Failures!
Global Committed Listener, How to Grow Almost Anything (HTGAA) 2025, Community Biotechnology Initiative, MIT Media Lab | Feb, 2025 - Present
Participant, Brown University Dept. of Physics presents the AI Winter School 2025 | Jan, 2025
Student Research Assistant, Mila Quebec AI Institute | May, 2024 - Present
Contributor (Aya Projects), Cohere for AI | Aug, 2024 - Present
Researcher, Computational Intelligence and Operations Laboratory, Shahjalal University of Science and Technology | 2021 - Present
Research Intern, Xu Lab, Carnegie Mellon University | July, 2024 - December, 2024
Visiting Researcher, Data Intelligence Lab, Hanyang University | Nov, 2023 - July, 2024
Computational Neuroscience Summer School (Research Student), Neuromatch Academy | July, 2024
CCAI Summer School (Research Student), Climate Change AI | Jun - Aug, 2024
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, ... , Azmine Toushik Wasi, ... , Sara Hooker, Antoine Bosselut
ICLR'25 (Spotlight, Top 5.1%) βͺ
[OpenReview] βͺ
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Gaussian Regularization in Neural Graph Learning
Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae
DASFAA'25 (Full Paper, Short Oral) βͺ
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
Azmine Toushik Wasi*, Taki Hasan Rafi*, Raima Islam, Karlo Ε erbetar, Dong-Kyu Chae (*Equal Contribution)
ACCV'24 βͺ
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[LNCS] βͺ
[arXiv] βͺ
Neural Control System for Continuous Glucose Monitoring and Maintenance
Azmine Toushik Wasi
ICLR'24
Tiny Papers βͺ
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When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
ICLR'24
Tiny Papers βͺ
[OpenReview] βͺ
[arXiv] βͺ
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CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Serbetar Karlo, Dong-Kyu Chae
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[arXiv] βͺ
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Dialectal Bias in Bengali: An Evaluation of Multilingual Large Language Models Across Cultural Variations
Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Farig Sadeque, Taki Hasan Rafi, Dong-Kyu Chae
WWW'25 (TheWebConf) (Short Paper) βͺ
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Graph Neural Networks in Supply Chain Analytics and Optimization:
Concepts, Perspectives, Dataset and Benchmarks
Azmine Toushik Wasi, MD Shafikul Islam Sohan, Adipto Raihan Akib, Mahathik Muhammad Bappy
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[arXiv] βͺ
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View All Publications and Ongoing Works →