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Comprehensive curriculum vitae showcasing research experience, publications, awards, and technical expertise in computational biology and machine learning.
Basics
| Name | H.M. Shadman Tabib |
| Label | Computational Biology | Computer Vision & AI for Health | Machine Learning |
| shadmantabib2002@gmail.com | |
| Phone | +880-1880-198766 |
| Url | https://shadmantabib.github.io |
| Summary | Senior year undergraduate student in Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET). Research interests at the intersection of computational biology, computer vision, and AI for health. Currently collaborating with Carnegie Mellon University, University of Wisconsin–Madison, and Stanford University on cutting-edge projects in cryo-electron tomography, contextualized machine learning, and biological image analysis. |
Work
- 2025.09 - Present
Stanford University
Advisor: Dr. Muyuan Chen. Conducting segmentation and analysis of Hydra Plasma Focused Ion Beam (PFIB) tomography data for structural interpretation and morphology reconstruction.
- Hydra Plasma Focused Ion Beam (PFIB) tomography analysis
- Structural interpretation and morphology reconstruction
- Advanced biological imaging techniques
- 2025.02 - Present
Research & Innovation Centre (RIC), Bangladesh University of Engineering and Technology (BUET)
Project: Identification of Dengue Breeding Sites through Object Recognition (HE-01-244). Contributing to dengue vector surveillance using deep learning–based object recognition and image analysis for public health applications.
- Deep learning-based object recognition for dengue vector surveillance
- 2024.09 - 2025.09
University of Wisconsin–Madison (Adaptive Inference Lab)
Advisor: Dr. Ben Lengerich. Co-authoring a comprehensive review on contextualized machine learning and interpretability in foundation models. Contributing to the AdaptInfer framework and contextual awareness in data-driven modeling.
- Comprehensive review on contextualized machine learning
- Interpretability in foundation models
- AdaptInfer framework development
- Contextual awareness in data-driven modeling
- 2024.06 - Present
Carnegie Mellon University (Xu Lab)
Advisor: Dr. Min Xu. Working on unsupervised Cryo-ET segmentation and particle picking through tomogram preprocessing and denoising for high-resolution biological structure reconstruction.
- Unsupervised Cryo-ET segmentation and particle picking
- Tomogram preprocessing and denoising
- High-resolution biological structure reconstruction
- Foundation model-based approaches for biological imaging
- 2023.01 - Present
Bangladesh University of Engineering and Technology (BUET) - Multiple Research Projects
Multiple research projects under different supervisors covering diverse areas of computer science and engineering.
- Semi-supervised and multimodal breast cancer classification (Prof. Dr. M. Sohel Rahman)
- RNA segmentation and multimodal model training frameworks (Prof. Dr. Md. Shamsuzzoha Bayzid)
- EEG-based context-aware deep learning for epilepsy prognosis (Prof. Dr. A.B.M. Alim Al Islam)
- Real-time drone detection and tracking systems (Prof. Dr. Ch. Md. Rakin Haider)
- Bias-aware retrieval-augmented generation for clinical predictions (Prof. Dr. M. Saifur Rahman)
- Stochastic spatio-temporal epidemiology modeling on multiplex networks (Dr. K.M. Ariful Kabir)
Volunteer
- 2025.11 - 2026.01
Dhaka, Bangladesh
BUET CSE Fest Deep Learning Sprint 2025
Coordinated largest national AI datathon; designed problems and rubric, and supervised judging. Collaborated with academic & industry mentors to ensure high-quality competition standards.
- Largest national AI datathon coordination
- Problem design and rubric development
- Academic and industry mentor collaboration
- High-quality competition standards
- 2025.01 - Present
Dhaka, Bangladesh
PinkLifeLine
Health-tech startup from NeoScreenix (JHU 2025 Global Champion); funded by Bangladesh National ICT Division. Partnered with Sustainlaunch Labs (global innovation accelerator) and Herwill (USA based global women's empowerment & digital inclusion).
- Built and leads a 50+ medical professionals' network
- Leads ML clinical data pipelines & screening workflows
- Partnership with Sustainlaunch Labs and Herwill
- Bangladesh National ICT Division funding
Education
- 2022.01 - Present
Dhaka, Bangladesh
Bangladesh University of Engineering and Technology (BUET)
Computer Science and Engineering
- Machine Learning
- Computer Vision
- Bioinformatics
- Database Systems
- Software Engineering
- Algorithms and Data Structures
- Artificial Intelligence
Awards
- 2025.01.01
Global Champion — Johns Hopkins Healthcare Design Competition (Team NeoScreenix)
Johns Hopkins University
Global Champion with Team NeoScreenix for AI-powered breast cancer detection system. Featured in national media coverage: Daily Star, TBS News, UNB News, and TV coverage on YouTube.
- 2025.01.01
Global 2nd Runner-up — IEEE SPS Video & Image Processing (VIP) Cup
IEEE Signal Processing Society
International competition on video & image processing with SpectraSentinel project for real-time drone detection and tracking.
- 2024.01.01
Datathons Excellence
Multiple Organizations
KUET 2025 (Top 5%); BUET DL Sprint 2024 (Top 15%); CZI Kaggle 2024 (Top 43%); SUST DL Enigma 2024 (Top 34%)
- 2022.01.01
Dean's & University Merit Scholarships
Bangladesh University of Engineering and Technology (BUET)
Sustained academic excellence (CGPA > 3.75 over three consecutive years) and topped in the department.
- 2019.01.01
Champion — Bangladesh Biology Olympiad (BdBO)
Bangladesh Biology Olympiad Committee
National champion in Bangladesh Biology Olympiad 2019.
- 2019.01.01
Second Runner-up — Bangladesh Mathematical Olympiad (BdMO)
Bangladesh Mathematical Olympiad Committee
Achieved second runner-up position in Bangladesh Mathematical Olympiad 2019–2020.
- 2019.01.01
Winner — Bangladesh Physics Olympiad (BdPhO)
Bangladesh Physics Olympiad Committee
Winner of Bangladesh Physics Olympiad 2019.
- 2020.01.01
4th Place & Extended National Camper — Bangladesh Chemistry Olympiad (BdChO)
Bangladesh Chemistry Olympiad Committee
Ranked 4th nationally and selected for extended national camp to represent Bangladesh at IChO 2020.
Publications
-
2025.06.25 Unsupervised Multi-scale Segmentation of Cellular Cryo-electron Tomograms with Stable Diffusion Foundation Model
Submitted to CVPR
Mostofa Rafid Uddin, Thanh-Huy Nguyen*, H.M. Shadman Tabib*, Kashish Gandhi, Min Xu. Novel approach for unsupervised segmentation of cellular cryo-electron tomograms using stable diffusion foundation models.
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2025.01.01 Toward Trustworthy Difficulty Assessments: Large Language Models as Judges in Programming and Synthetic Tasks
arXiv preprint
H.M. Shadman Tabib, Jaber Ahmed Deedar. Using large language models as evaluators for synthetic data quality and programming task difficulty assessment.
-
2025.01.01 SpectraSentinel: Lightweight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification
arXiv preprint
Shahriar Kabir, Istiak Ahmmed Rifti, H.M. Shadman Tabib, Mushfiqur Rahman, Sadatul Islam Sadi, Hasnaen Adil, Ahmed Mahir Sultan Rumi, Ch. Md. Rakin Haider. Dual-stream lightweight system for real-time drone detection.
-
2025.01.01 Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
arXiv preprint
H.M. Shadman Tabib*, Jaber Ahmed Deedar*, K.M. Ariful Kabir. Agent-based modeling of epidemic spread through multiplex networks with socioeconomic considerations.
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2025.01.01 Contextualized Machine Learning: Towards Adaptive, Interpretable, and Generalizable AI Systems
UW–Madison Research Project
Ben Lengerich, Caleb Ellington, Sazan Mahbub, H.M. Shadman Tabib, et al. Comprehensive review on contextualized machine learning and interpretability in foundation models.
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2025.01.01 NEUROSKY-EPI: The First Open Single-Electrode Epilepsy EEG Dataset with Context-Aware Modeling
NeurIPS 2025 Workshop on Time Series for Health (TS4H) — Accepted
H.M. Shadman Tabib, Md. Hasnaen Adil, Ayesha Rahman, Ahmmad Nur Swapnil, Maoyejatun Hasana, A.B.M. Alim Al Islam. First open-source single-electrode epilepsy EEG dataset with context-aware deep learning models.
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2025.01.01 Localization of Macromolecules in Crowded Cellular Cryo-electron Tomograms from Extremely Sparse Labels
Briefings in Bioinformatics — Accepted
Mostofa Rafid Uddin, Ajmain Yasar Ahmed*, H.M. Shadman Tabib*, Md Toki Tahmid, Md Zarif Ul Alam, Zachary Freyberg, Min Xu. Novel approach for macromolecule localization in crowded cellular environments using extremely sparse labeling techniques.
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2024.01.01 Exploring Livelihood Dynamics and Policy Interventions in Mangrove Social-Ecological Systems with Agent-Based Modeling: A Mesa Framework Approach
arXiv preprint
Anik Saha, H.M. Shadman Tabib, M. Sohel Rahman. Agent-based modeling of mangrove social-ecological systems using the Mesa framework.
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2024.01.01 Breast Cancer Detection Using Semi-Supervised Learning: Multimodal Data Integration and Comparative Demographic Analysis
NSyS 2024 (11th Intl. Conf. on Networking, Systems, and Security) - Accepted as Poster
H.M. Shadman Tabib, Mst. Fahmida Sultana Naznin, Sadatul Islam Sadi, Md. Hasnaen Adil, Zarin Tasnim Oishi, M. Sohel Rahman. Semi-supervised multimodal approach for breast cancer detection.
-
2024.01.01 End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark
International Journal of Natural Language Computing (IJNLC) — Accepted
H.M. Shadman Tabib, Jaber Ahmed Deedar. End-to-end AI system for solving Bangla mathematical olympiad problems using natural language processing.
Skills
| Programming Languages | |
| Python | |
| PyTorch | |
| TensorFlow | |
| Keras | |
| C/C++ | |
| Java | |
| SQL | |
| JavaScript | |
| Dart |
| Machine Learning & AI | |
| Computer Vision | |
| Deep Learning | |
| Natural Language Processing | |
| Unsupervised Learning | |
| Agent-Based Modeling | |
| Semi-supervised Learning | |
| Multimodal Learning |
| Specialized Domains | |
| Cryo-ET Processing | |
| Medical Imaging | |
| Bioimage Analysis | |
| Bioimage Segmentation | |
| Brain-Computer Interfaces | |
| Real-time Systems | |
| Mesa Framework | |
| Flutter |
| Development & Tools | |
| Django | |
| HTML/CSS | |
| Node.js | |
| React | |
| Spring | |
| Database Design | |
| Git | |
| LaTeX |
Languages
| English | |
| Fluent |
| Bengali | |
| Native speaker |
Interests
| Computational Biology | |
| Cryo-ET image analysis | |
| Connectomics segmentation | |
| RNA task accuracy estimation | |
| Biological structure reconstruction |
| Computer Vision & AI for Health | |
| Medical imaging (cancer detection) | |
| Multimodal and semi-supervised learning | |
| Bioimage segmentation | |
| Brain-computer interfaces (epilepsy) | |
| Real-time systems |
| Machine Learning | |
| Unsupervised detection/segmentation | |
| Contextualized ML | |
| LLM-as-a-judge for synthetic data evaluation | |
| Foundation models |
References
| Prof. Dr. M. Sohel Rahman | |
| Professor, Department of CSE, BUET. Email: sohel.kcl@gmail.com | Google Scholar: https://scholar.google.com/citations?user=IUwFD9gAAAAJ&hl=en |
| Prof. Dr. Md. Shamsuzzoha Bayzid | |
| Professor, Department of CSE, BUET. Email: bayzid@cse.buet.ac.bd | Google Scholar: https://scholar.google.com/citations?user=h2vHz3wAAAAJ&hl=en |
| Dr. Min Xu | |
| Associate Professor, Computational Biology Department, Carnegie Mellon University. Faculty Profile: https://scholars.cmu.edu/6103-min-xu |
| Dr. Ben Lengerich | |
| Assistant Professor, University of Wisconsin–Madison. Personal Website: https://web.mit.edu/~blengeri/www/ |
Projects
- 2024.06 - Present
Cryo-ET Segmentation with Stable Diffusion Foundation Models
Unsupervised multi-scale segmentation of cellular cryo-electron tomograms using stable diffusion foundation models for high-resolution biological structure reconstruction.
- CVPR 2025 submission
- Carnegie Mellon University collaboration
- Foundation model adaptation for 3D biological imaging
- Self-supervised learning techniques
- 2024.01 - Present
NeoScreenix - AI-Powered Breast Cancer Detection
Health-tech solution combining semi-supervised learning with multimodal data integration for early breast cancer detection. Evolved into PinkLifeLine startup.
- Johns Hopkins Healthcare Design Competition 2025 Global Champion
- PinkLifeLine startup (Co-Founder & Head of Research)
- Bangladesh National ICT Division funding
- 50+ medical professionals network
- Sustainlaunch Labs and Herwill partnerships
- 2023.01 - 2025.01
NEUROSKY-EPI: Context-Aware Epilepsy Detection
First open single-electrode epilepsy EEG dataset with context-aware deep learning models for real-time brain-computer interface applications.
- NeurIPS 2025 Workshop on Time Series for Health acceptance
- First open-source single-electrode epilepsy EEG dataset
- Context-aware neural networks
- Real-time processing optimization
- 2024.01 - 2025.01
SpectraSentinel: Real-Time Drone Detection System
Lightweight dual-stream architecture combining spectral and spatial fusion cues for real-time drone detection, tracking, and payload identification.
- IEEE SPS Video & Image Processing Cup 2025 Global 2nd Runner-up
- Dual-stream spectral-spatial fusion
- Real-time performance optimization
- Lightweight CNN architecture
- 2024.09 - 2025.09
Contextualized Machine Learning Research
Comprehensive review on contextualized machine learning and its role in creating adaptive, interpretable, and generalizable AI systems with focus on foundation models.
- University of Wisconsin–Madison collaboration
- AdaptInfer framework contribution
- Foundation models interpretability
- Context-aware AI systems development