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Jamshidjon Ganiev (잠시드전)
Candidate / M.S. - Ph.D.

M.S. - Ph.D. Integrated Candidate in Dept. of Electrical and Computer Engineering, Inha University, Republic of Korea, Inha University, Republic of Korea

B.S. in Department of Integrated System Engineering, Inha University, Republic of Korea

Research Interests : On board-AI, Quantization, and LMMs

E-Mail : jamesganiev227@gmail.com


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Education

- Inha University (M.S. Candidate in Department of Electrical and Computer Engineering, 2024.09 - Current)
- Inha University, South Korea (B.S. in Integrated System Engineering, 2020.03 - 2024.08)

Biography

Jamshidjon received his B.S. degree in Integrated System Engineering (ISE) from Inha University, South Korea. He is currently pursuing an M.S.-Ph.D. integrated program in Department of Electrical and Computer Engineering at Inha University. His research interests include Knowledge distillation, On board-AI, Generative AI, Data Augmentation and Quantization.

Contact Information

Location : Room #1201, Inha Hi-Tech Center, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea.

E-Mail: jamesganiev227@gmail.com

MVLM: Template-Free Tracking via Vision–Language Margin Confidence and Memory-Gated Tracking

Dae-Hyeon Park, Mina Baek, Jeong-Hun Ha, Chan-Seop Park, Jamshidjon Ganiev, and Seung-Hwan Bae*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. , June, 2026

Title: Neural-NGBoost: Natural gradient boosting with neural network base learners

Authors: Jamshidjon Ganiev, Deok-Woong Kim, and Seung-Hwan Bae*
Publisher: ICT Express (SCIE), August 19, 2025