Unsupervised segmentation of cellular cryo-electron tomograms using stable diffusion foundation models for multi-scale biological structure analysis.
@article{tabib2025cryoet_diffusion,title={Unsupervised Multi-scale Segmentation of Cellular Cryo-electron Tomograms with Stable Diffusion Foundation Model},author={Uddin, Mostofa Rafid and Nguyen, Thanh-Huy and Tabib, H.M. Shadman and Gandhi, Kashish and Xu, Min},journal={Submitted to CVPR},year={2025},}
Localization of Macromolecules in Crowded Cellular Cryo-electron Tomograms from Extremely Sparse Labels
Mostofa Rafid Uddin, Ajmain Yasar Ahmed*, H.M. Shadman Tabib*, and 4 more authors
Novel approach for macromolecule localization in crowded cellular environments using extremely sparse labeling techniques.
@article{tabib2025macromolecule_sparse,title={Localization of Macromolecules in Crowded Cellular Cryo-electron Tomograms from Extremely Sparse Labels},author={Uddin, Mostofa Rafid and Ahmed, Ajmain Yasar and Tabib, H.M. Shadman and Tahmid, Md Toki and Alam, Md Zarif Ul and Freyberg, Zachary and Xu, Min},journal={Briefings in Bioinformatics},year={2025},note={Accepted},}
NEUROSKY-EPI: The First Open Single-Electrode Epilepsy EEG Dataset with Context-Aware Modeling
H.M. Shadman Tabib, Md. Hasnaen Adil, Ayesha Rahman, and 3 more authors
In NeurIPS 2025 Workshop on Time Series for Health (TS4H), 2025
First open-source single-electrode epilepsy EEG dataset with context-aware deep learning models for real-time prognosis.
@inproceedings{tabib2025neurosky,title={NEUROSKY-EPI: The First Open Single-Electrode Epilepsy EEG Dataset with Context-Aware Modeling},author={Tabib, H.M. Shadman and Adil, Md. Hasnaen and Rahman, Ayesha and Swapnil, Ahmmad Nur and Hasana, Maoyejatun and Islam, A.B.M. Alim Al},booktitle={NeurIPS 2025 Workshop on Time Series for Health (TS4H)},year={2025},note={Accepted},}
Contextualized Machine Learning: Towards Adaptive, Interpretable, and Generalizable AI Systems
Ben Lengerich, Caleb Ellington, Sazan Mahbub, and 2 more authors
Comprehensive review on contextualized machine learning and interpretability in foundation models.
@article{lengerich2025contextualized,title={Contextualized Machine Learning: Towards Adaptive, Interpretable, and Generalizable AI Systems},author={Lengerich, Ben and Ellington, Caleb and Mahbub, Sazan and Tabib, H.M. Shadman and others},journal={UW--Madison Research Project},year={2025},}
Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
H.M. Shadman Tabib, Jaber Ahmed Deedar, and K.M. Ariful Kabir
Agent-based modeling of epidemic spread through multiplex networks with socioeconomic considerations.
@article{tabib2025epidemic,title={Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network},author={Tabib, H.M. Shadman and Deedar, Jaber Ahmed and Kabir, K.M. Ariful},journal={arXiv preprint},year={2025},}
SpectraSentinel: Lightweight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification
Shahriar Kabir, Istiak Ahmmed Rifti, H.M. Shadman Tabib, and 5 more authors
Dual-stream lightweight system for real-time drone detection, tracking, and payload identification using spectral-spatial fusion.
@article{kabir2025spectrasentinel,title={SpectraSentinel: Lightweight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification},author={Kabir, Shahriar and Rifti, Istiak Ahmmed and Tabib, H.M. Shadman and Rahman, Mushfiqur and Sadi, Sadatul Islam and Adil, Hasnaen and Rumi, Ahmed Mahir Sultan and Haider, Ch. Md. Rakin},journal={arXiv preprint},year={2025},}
Toward Trustworthy Difficulty Assessments: Large Language Models as Judges in Programming and Synthetic Tasks
Using large language models as evaluators for synthetic data quality and programming task difficulty assessment.
@article{tabib2025llm_judge,title={Toward Trustworthy Difficulty Assessments: Large Language Models as Judges in Programming and Synthetic Tasks},author={Tabib, H.M. Shadman and Deedar, Jaber Ahmed},journal={arXiv preprint},year={2025},}
2024
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark
H.M. Shadman Tabib and Jaber Ahmed Deedar
International Journal of Natural Language Computing (IJNLC), 2024
End-to-end AI system for solving Bangla mathematical olympiad problems using natural language processing.
@article{tabib2024bangla_math,title={End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark},author={Tabib, H.M. Shadman and Deedar, Jaber Ahmed},journal={International Journal of Natural Language Computing (IJNLC)},year={2024},note={Accepted},}
Breast Cancer Detection Using Semi-Supervised Learning: Multimodal Data Integration and Comparative Demographic Analysis
H.M. Shadman Tabib, Mst. Fahmida Sultana Naznin, Sadatul Islam Sadi, and 3 more authors
In 11th International Conference on Networking, Systems, and Security (NSyS), 2024
Semi-supervised multimodal approach for breast cancer detection with demographic analysis across diverse populations.
@inproceedings{tabib2024breast_cancer,title={Breast Cancer Detection Using Semi-Supervised Learning: Multimodal Data Integration and Comparative Demographic Analysis},author={Tabib, H.M. Shadman and Naznin, Mst. Fahmida Sultana and Sadi, Sadatul Islam and Adil, Md. Hasnaen and Oishi, Zarin Tasnim and Rahman, M. Sohel},booktitle={11th International Conference on Networking, Systems, and Security (NSyS)},year={2024},note={Accepted as Poster},}
Exploring Livelihood Dynamics and Policy Interventions in Mangrove Social-Ecological Systems with Agent-Based Modeling: A Mesa Framework Approach
Anik Saha, H.M. Shadman Tabib, and M. Sohel Rahman
Agent-based modeling of mangrove social-ecological systems using the Mesa framework for policy intervention analysis.
@article{saha2024mangrove,title={Exploring Livelihood Dynamics and Policy Interventions in Mangrove Social-Ecological Systems with Agent-Based Modeling: A Mesa Framework Approach},author={Saha, Anik and Tabib, H.M. Shadman and Rahman, M. Sohel},journal={OpenReview preprint},year={2024},}