AHMED HASEN

I am a Doctoral Researcher at AI-DOC, University of Jyvaskyla (JYU) (2024-2027), working on deep learning methods for motion tracking and analysis. Before starting my doctoral studies, I completed my Master's (2021-2023) and Bachelor's (2017-2021) in Software and Information Engineering at UESTC, Chengdu, China.

My research focuses on deep learning, computer vision, 3D reconstruction, object tracking, and motion analysis in sports. I am also interested in agentic AI and practical AI engineering for real-world deployment. Open to collaborate, reach out if you are interested.

Email  /  CV  /  Google Scholar  /  Github  /  LinkedIn

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News
  • [2026.03] Hammer Throw Distance Estimation Using Deep Learning and Physics-Based Modeling accepted in Expert Systems with Applications.
  • [2025.11] Presented poster at AIDay 2025 and joined AIDOC doctoral researcher workshop events in Finland.
  • [2025.06] Attended ACDL 2025 in Tuscany, Italy focusing on generative models, LLMs, reasoning, and RL.
  • [2025.02] Presented project poster at the AI-DOC Launch Event in Espoo and connected with researchers across universities.
  • [2024.09] Started doctoral researcher position at AI-DOC, Finnish Center for Artificial Intelligence, University of Jyvaskyla (JYU).
Publications
Hammer Throw Hammer Throw Distance Estimation Using Deep Learning and Physics-Based Modeling
AE Hasen, N Passalis, T Vanttinen, J Raitoharju
Expert Systems with Applications, 2026.
paper  /  project  /  github
ABCD ABCD: Automatic Blood Cell Detection via Attention-Guided Improved YOLOX
AZY Ahmed Endris Hasen, Yang Shangming, Chiagoziem C. Ukwuoma, Biniyam Gashaw
arXiv, 2025.
arXiv
Unified Multi-task Unified deep learning model for multitask representation and transfer learning: image classification, object detection, and image captioning
LY Bayisa, W Wang, Q Wang, CC Ukwuoma, HK Gutema, A Endris, T Abu
International Journal of Machine Learning and Cybernetics, 2024.
paper
SalFAU-Net SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection
KA Mulat, Z Feng, TS Eshetie, AE Hasen
arXiv, 2024.
arXiv
SkinAACN Skinaacn: An efficient skin lesion classification based on attention augmented convnext with hybrid loss function
AZ Yutra, J Zheng, X Li, A Endris
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023.
paper
2D Materials YOLOv7 Towards Automatic 2D Materials Detection Using YOLOv7
YA Zenebe, L Xiaoyu, W Chao, W Yi, HA Endris, MN Fanose
2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing, 2022.
paper
Face Mask YOLOX Efficient Face Mask Detection Method Using YOLOX: An Approach to Reduce Coronavirus Spread
A Endris, S Yang, YA Zenebe, B Gashaw, J Mohammed, LY Bayisa
2022 5th International Conference on Pattern Recognition and Artificial Intelligence, 2022.
paper
Ethiopian Endemic Animals Towards automatic ethiopian endemic animals detection on android using deep learning
A Endris, J Deng, M Ahmednasir, J Mohammed, N Kewyu
2021 4th International Conference on Pattern Recognition and Artificial Intelligence, 2021.
paper
Awards
  • [2024] Shenzhen Universiade International Scholarship Foundation award.
  • [2023] CAS-ANSO Scholarship award for Young Talents, UCAS
  • [2022] Second Prize, Academic Achievement Award, UESTC.
  • [2021] Chinese Government Scholarship for Master's degree study.
  • [2020] Second Prize, Academic Achievement Award (Academic Years 2018-2020), UESTC (Chengdu, China).
  • [2018] Second Prize, "Youth Welcome the FISU Games" themed short video competition (Chengdu International Sister Cities Higher Education Institution Alliance); In Group.
  • [2017] Ethiopian Betre Science Scholarship to study abroad for Bachelor's degree.

Updated on April 23, 2026

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