Hi there, I’m Jamshid 👋

I am currently a PhD student at Kyungpook National University advised by Dr. Jae-Mo Kang Computer Vision & Learning Theory LAB

I graduated from Kyungpook National University with a Master’s in Artificial Intelligence. My thesis was was on Hierarchical Federated Learning in IoT networks.

Email me: jamshid_at_tursunboev_dot_com

📰 News

• 🏆 We won the 1st place in the dense video captioning track of SoccerNet challenge at CVPR 2024! 🥇⚽️
• We submitted a paper for AAAI 2025. Fingers crossed 🤞.

🚀 Current research

• 📚 Continous learning with domain adaptation
• 💡 Effective domain-aware finetuning of VLMs
• 🤖 Multi-objective deep learning

Publications

Tursunboev, Jamshid, Vikas Palakonda, and Jae-Mo Kang. “Multi-Objective Evolutionary Hybrid Deep Learning for energy theft detection.” Applied Energy 363 (2024): 122847. (JCR IF Top 10%)

Tursunboev, Jamshid, Yong-Sung Kang, Sung-Bum Huh, Dong-Woo Lim, Jae-Mo Kang, and Heechul Jung. “Hierarchical federated learning for edge-aided unmanned aerial vehicle networks.” Applied Sciences 12, no. 2 (2022): 670.

Li, Sijia, Furkat Sultonov, Jamshid Tursunboev, Jun-Hyun Park, Sangseok Yun, and Jae-Mo Kang. “Ghostformer: A GhostNet-based two-stage transformer for small object detection.” Sensors 22, no. 18 (2022): 6939.