Department of Electrical and Computer Engineering

Machine Learning–Based Identification of Dust Sources and Climate-Induced Risks in Central Asia: Toward a Projective and Risk-Informed Early Warning Framework
Kim, J. (PI), Bagheri, M. (Co-PI), Lee, M. (Other Faculty/Researcher), Broomandi, P. (Other Faculty/Researcher), Leuchner, M. (Other Faculty/Researcher) & Abdullaev, S. F. (Other Faculty/Researcher)
4/1/26 → 12/31/28
Project: FDCRGP
Energy‑Efficient 6G via Fluid Antenna Systems: Algorithms, Prototype, and Validation
Nauryzbayev, G. (PI), Hashmi, M. (Other Faculty/Researcher), Wong, K. K. (Other Faculty/Researcher), Kulsharova, G. (Other Faculty/Researcher), Arzykulov, S. (Other Faculty/Researcher) & Tlebaldiyeva, L. (Postdoctoral scholar (PhD degree holder))
4/1/26 → 12/31/28
Project: FDCRGP
Beihang University– Nazarbayev University Joint Research Institute for New Energy Development Exchange Program
Ng, A. (PI) & Liu, X. (PI)
1/1/25 → 12/31/26
Project: International

Hybrid CNN–LSTM network for cross-subject EEG emotion recognition
Ali, H., Ermaganbet, Z. & Akhtar, M., May 2 2026, (Accepted/In press) In: Discover Artificial Intelligence.
Research output: Contribution to journal › Article › peer-review

Open Access
Modality-Specific Sparse Autoencoders for Efficient Multimodal ICU Alignment: A Symmetry–Asymmetry Learning Framework
Ali, H. & Akhtar, M., Apr 18 2026, In: Symmetry. 18, 4, 677.
Research output: Contribution to journal › Special issue › peer-review

Open Access
SNP-based prediction of schizophrenia using machine learning
Ramazanova, Z., Matkarimov, B., Nabavi, S., Crape, B. & Zollanvari, A., 2026, In: Bioinformatics Advances. 6, 1, vbaf219.
Research output: Contribution to journal › Article › peer-review

Open Access

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