I am Azmine Toushik Wasi, a 4th year (senior) undergraduate in Industrial and Production Engineering at Shahjalal University of Science and Technology.

My expertise lies in Artificial Intelligence, Machine Learning, Multi-disciplinary Research, IT Automation, and Product-Project Management. My research interests include Graph Neural Networks (GNN), Human-Centered AI, and Natural Language Processing (NLP), mainly focusing on medical problems. I am working on Data Intelligence Lab, HYU. Additionally, I have founded Computational Intelligence and Operations Lab, SUST, to mentor young researchers and bridge the gap between Industrial Engineering and AI.

My research has been published in prestigious venues such as COLING'24, ICLR'24 (Tiny Papers Track), and workshops of AAAI'24 (GCLR), NeurIPS'23 and CHI'24 (In2Writing and HEAL), with ongoing reviews in ECCV'24, IEEE TCBB, and ACL ARR, among others. I am also a Kaggle Notebooks Grandmaster (the 3rd Kaggle GM in Bangladesh). I love to learn new things, share my knowledge, improve existing skills, experiment with acquired skills and challenge my capabilities.
I am actively looking for research opportunities focusing on different Types of GNN Learning and NLP (Theoretical or Applied) or Healthcare (Drugs, Bioinformatics, Biomedical Engineering or Neuroscience and AI) domains with conjunction to any of my research interests. I want to solve critical challenges in different industries, building efficient, fast, interpretable, robust and reliable machine learning models.

Curriculum Vitae is available upon request. Please, email me at azminetoushik.wasi@gmail.com.

🔍 Research Interests

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• 💠 Graph Neural Networks (GNN): I am exploring Graph Neural Network or Geometric Machine Learning Theories, applying and improving GNN models and resources in Healthcare (Drugs and Molecules) [DDI], Knowledge Graphs [BanglaAutoKG (COLING'24)] and Supply Chains [SupplyGraph (AAAI'24W)] .
• 🧑‍💻 Human-Centered AI (HAI): Focusing on Human-centric development and evaluation, I am working on to combine different aspects of Human Factors Engineering (HFE) [Sense of Ownership (CHI'24W), Creativity (CHI'24W)], and Computational Social Science (CSS) [Social Biases (CHI'24W)] into AI systems.
• 📝 Natural Language Processing (NLP): In Natural Language Processing, I am developing Knowledge Graphs (COLING'24) and Bangla Knowledge Systems. I am also working on inter-disciplinary CSS and BioMedNLP [Molecules+NLP (ICLR'24)] .
• 🫂 Combinatorial Optimization (CO): Though Constrained and Combinatorial Optimization using AI, I am working on developing efficient systems to solve real world problems [Glucose level control (ICLR'24), Inventory routing (NIPS'23W)] .
• 🔶 Explainable AI (XAI): Aiming for human understandable & trustable models; I am working on reasoning, explanation and interpretation of black box AI models [Hate Speech (NIPS'24W)] .

📰 News and Updates

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📄 Selected Publications

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• BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
  Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
  COLING'24 ▪ Accepted ▪ NLP ▪ Bangla
  [arXiv]

• Neural Control System for Continuous Glucose Monitoring and Maintenance
  Azmine Toushik Wasi
  ICLR'24 ▪ Tiny Papers Track ▪ Accepted ▪ Optimization ▪ Medical AI
  [OpenReview] ▪ [arXiv]

• 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 Track ▪ Accepted ▪ NLP ▪ Medical AI
  [OpenReview] ▪ [arXiv]

• LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
  Azmine Toushik Wasi, Mst Rafia Islam, Raima Islam
  CHI'24 ▪ in2Writing Workshop ▪ Accepted ▪ LLM ▪ HAI ▪ HCI
  [arXiv]

• Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
  Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam
  CHI'24 ▪ in2Writing Workshop ▪ Accepted ▪ LLM ▪ HAI ▪ HCI
  [arXiv]

View All Publications →

📜 Other Ongoing Works

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🗣️ Talks and Training Workshops

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• Research in IPE and ML: The Beginning | April 04, 2024 | Webinar
• Pie & AI: Sylhet - ML Research for Engineering Undergrads: A Pathway | Oct 23, 2023 | Workshop
• Introduction to Research (IPE and ML Focused) | Sept 8, 2023 | Workshop
• Navigating the Digital Frontier | Building the Basics on ML and AI | Aug 25, 2023 | Guest Talk
• Building AI and Machine Learning Model: How to Start? | Jul 23, 2023 | Workshop
• Pie & AI: Sylhet - Use of ChatGPT and Generative AIs | Mar 3, 2023 | Guest Lecture
• Pie & AI: Sylhet – Machine Learning for Engineering Students | Jan 25, 2023 | Talk
• Pie & AI: Sylhet - Introduction to Python for AI | Oct 15-22, 2023 | Workshop

💼 Recent Services

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• Reviewer
  • ACL ARR 2024 [View in official reviewer list].
  • IDC 2024 (International Conference on Interaction Design & Children).
  • ICLR Tiny Papers Track (2024).
  • Complex & Intelligent Systems. [Impact factor 5.8 (2022)].
• Workshop Program Committee
  • TextGraphs-17, Graph-based Methods for Natural Language Processing co-located with ACL 2024.
  • ClimateNLP, Natural Language Processing meets Climate Change Workshop co-located with ACL 2024.
  • SMM4H, Social Media Mining for Health Applications Workshop co-located with ACL 2024 (Reviewer).