Scholar
Quan Minh Nguyen
Google Scholar ID: kYSrBrwAAAAJ
PhD Student, Unversity of Florida
Citations & Impact
Citations
24
H-index
3
i10-index
1
Publications
5
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- - FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training, published in IEEE Transactions on Network and Service Management, 2023.
- - ARPD: Anchor-free Rotation-aware People Detection using Topview Fisheye Camera, presented at AVSS, 2021 (Oral Presentation).
- - Incorporation of Panoramic View in Fall Detection Using Omnidirectional Camera, published in Intelligent Systems and Networks, 2021.
Research Experience
- - Worked as an intern at Viettel High Tech, developing computer vision algorithms for smart camera systems, including people detection and heatmap visualization using fisheye cameras for retail stores, face recognition algorithms for edge devices, and high-speed traffic AI cameras.
- - Full-time Research Assistant at VinUni-Illinois Smart Health Center (VishC), focusing on federated learning for healthcare.
- - Worked on cutting-edge ultrasound imaging technologies at Luma Vision GmbH in Germany.
- - Wrote master's thesis on the impact of differential privacy on the fairness of AI algorithms at Lab for AI in Medicine at TU Munich and Siemens Healthineers.
Education
- - PhD in Computer Science, University of Florida, supervised by Prof. My Thai
- - Master's in Biomedical Computing, Technical University of Munich (TUM)
- - Bachelor's in Biomedical Engineering, Hanoi University of Science and Technology
Background
- Research interests include trustworthy AI and AI in Medicine. Current research focuses on Federated Learning, Differential privacy, and explainable AI and their applications in the real world.
Miscellany
- - Language Qualifications: Nov 2023, IELTS 8.5; April 2021, TOEIC 985; April 2015, completed basic German Course (A2.2) at Goethe Institut.
- - Activities: June 2024, working on thesis at Lab for AI Medicine at TU Munich and Siemens Healthineers; June 2024, one paper (second author) accepted to IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium; September 2023, participated in SUMMER SCHOOL ON “MODERN MACHINE LEARNING: FOUNDATIONS AND APPLICATIONS” in Ninh Binh, Vietnam; August 2023, one paper (first author) accepted.
