Machine Learning Researcher
(Graph Neural Nets, Human-centric AI, NLP and XAI)
Kaggle Grandmaster | Explorer | Looking for research opportunities
About :
- Experienced in Programming, Machine Learning, Artificial Intelligence, Inter-disciplinary Research, IT Automation, Project - Product Management and Analytics.
- Actively involved in several Machine Learning Research. My research interests include Graph Neural Networks, Human-Centered AI, and Natural Language Processing, mainly focusing on medical problems. I am working on Data Intelligence Lab, HYU, KR. Additionally, I have founded Computational Intelligence and Operations Lab - CIOL, SUST, BD, to mentor young researchers and bridge the gap between Industrial Engineering and AI. I'm also the 3rd Kaggle Grandmaster of BD.
- My research has been published in prestigious venues such as LREC-COLING'24, ICLR'24 Tiny Papers Track, Workshops of CHI'24, AAAI'24 and NeurIPS'23, with ongoing reviews in ECCV'24, IEEE TCBB, ACL ARR, among others.
- Passionate about learning new things, sharing my knowledge, improving myself regularly, experimenting with acquired skills and challenging my capabilities. Building all-in-one free AI/ML resources collection here.
- Serving as reviewer in top ML conferences and journals like ACL ARR, ICLR, IDC; and program chair in multiple ACL'24 workshops.
- 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.
Research :
- Research Interests:
- ๐ Graph Neural Networks (GNN): GNN Theories and Applied GNN in Healthcare (Drugs and Molecules) and Supply Chain.
- ๐งโ๐ป Human-Centered AI (HAI): Human-centric development and evaluation of AI systems.
- ๐ Natural Language Processing (NLP): Natural Language Processing and KGs (focusing on Bangla and BioMedNLP).
- ๐ถ Explainable AI (XAI): Developing human understandable & trustable models; Explaining AI reasoning.
- ๐ซ Combinatorial Optimization (CO): Constrained and Combinatorial Optimization using AI in different domains.
- View Publications
Skills :
- Programming: Python (Advanced), C (For Contests), R, SQL.
- ML Techniques : Deep Learning, NLP, Graph Neural Networks, GANs.
- DS & ML Tools (Python) : NumPy, Pandas, Matplotlib, Seaborn, Stats-models, Scikitlearn, Keras, Tensorflow, PyTorch.
- Data Analysis: MS Excel, SAS, Tableau, Power BI.
- IT Automation:
- Automation in MS Word, Powerpoint, Excel, Google Sheets, Adobe Photoshop, Illustrator using Python, built-in toolkits and ML;
- Photo Manipulations at large scale using OpenCV and Pillow;
- NLP and CV-based ML models to detect error in textuala and visual contents.
- Product Development, Project Management, Business Development and Strategic Planning and Analysis.
React
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Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent