Projects per year
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Collaborations and top research areas from the last five years
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Transforming Epilepsy Care in Kazakhstan with Machine Learning-Driven Brain-Computer Interfaces
Abibullaev, B. (PI), Utebekov, Z. (Co-PI), Lee, M. (Other Faculty/Researcher), Akhmedullin, R. (Other Faculty/Researcher) & Zollanvari, A. (Other Faculty/Researcher)
2/4/25 → 12/31/27
Project: FDCRGP
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Zero-calibration, Paradigm-independent, and Explainable Brain-Computer Interfacing: Realistic Assistant for Palsy Patient
Lee, M. (PI)
1/1/23 → …
Project: International
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Building Capacity to Improve Air Quality in South Asia: Reducing PM2.5 Through Low-Cost Sensor Network Driven Policy Decisions
Lee, M. (PI)
1/1/22 → 12/31/25
Project: International
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Interpretable artificial intelligence for detection of psychiatric disorders based on multi-modal neuroimaging data
Lee, M. (PI), Fazli, S. (Co-PI) & Viderman, D. (Co-PI)
1/1/20 → 12/31/22
Project: FDCRGP
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Benchmarking Federated Few-shot Learning for Video-based Action Recognition
Tu, N. A., Aikyn, N., Makhanov, N., Abu, A., Wong, K. S. & Lee, M. H., 2024, (Accepted/In press) In: IEEE Access. 3519254.Research output: Contribution to journal › Article › peer-review
Open Access -
EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts
Lee, M. H., Shomanov, A., Begim, B., Kabidenova, Z., Nyssanbay, A., Yazici, A. & Lee, S. W., Dec 2024, In: Scientific Data. 11, 1, 1026.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition
Tu, N. A., Abu, A., Aikyn, N., Makhanov, N., Lee, M. H., Le-Huy, K. & Wong, K. S., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024. Institute of Electrical and Electronics Engineers Inc., p. 270-279 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Citations (Scopus) -
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Bernárdez, G., Telyatnikov, L., Montagna, M., Baccini, F., Papillon, M., Ferriol-Galmés, M., Hajij, M., Papamarkou, T., Bucarelli, M. S., Zaghen, O., Mathe, J., Myers, A., Mahan, S., Lillemark, H., Vadgama, S., Bekkers, E., Doster, T., Emerson, T., Kvinge, H. & Agate, K. & 53 others, , 2024, In: Proceedings of Machine Learning Research. 251, p. 420-428 9 p.Research output: Contribution to journal › Conference article › peer-review
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Multi-Document Question Answering with Lightweight Embeddings-based Document Reranker
Aitymbetov, N., Lee, M. H. & Tu, N. A., 2024, Proceedings - 2024 International Conference on Advanced Technologies for Communications, ATC 2024. Bao, V. N. Q. & Anh, D. T. (eds.). IEEE Computer Society, p. 707-712 6 p. (International Conference on Advanced Technologies for Communications).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution