curriculum vitae
General Information
| Full Name | Duy H. M. Nguyen |
| Year of Birth | 1993 |
| Nationality | Vietnamese |
Education
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Now 
Ph.D. Candidate
Max Planck Research School for Intelligent Systems (IMPRS-IS) and University of Stuttgart - Hybrid Discrete-Continuous Learning, Scalable Algorithms for Multi-modal Learning, Machine Learning for Healthcare and Simulation Science
- Supervisor: Prof. Mathias Niepert
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2021 
Master Degree
Max-Planck-Institut für Informatik and Saarland University - Machine Learning and Computer Vision
- Supervisor: Prof. Paul Swoboda
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2015 
Bachelor Degree (Honours Programme)
Vietnam National University - Ho Chi Minh City, Vietnam - Mathematics and Computer Science
- Supervisor: Prof. Nguyen Thanh Binh
Experience
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2021-Now 
Full-time Researcher
German Research Center for Artificial Intelligence (DFKI) -
Summer 2024 
Visiting Researcher
ETH AI Center , ETH Zurich, Switzerland -
Summer 2021 
Research Intern
University of California San Diego (UCSD), USA -
2017-2018 
Data Scientist
VNG Corporation, Vietnam -
2015 
Research Intern
Japan Advanced Institute of Science and Technology (JAIST)
Honors and Awards
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2023 - Final lists AI Newcomers 2023 by Federal Ministry of Education and Research (BMBF)
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2022 - Selected candidate for the Oxford Machine Learning Summer School
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2018 - Master Scholarship by the Saarbrücken Graduate School of Computer Science, Saarland Informatics Campus
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2015 - Scholarship of Vietnam Institute for Advanced Study in Mathematics for excellent students
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2015 - Sakura Scholarship for Exchange Program in Science at Japan Advanced Institute of Science and Technology
Teaching and Services
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Teaching
- Tutor for Machine Learning Course (Saarland University 2020), Co-organizer Seminar: Recent Applications of Machine Learning in Simulation Science (University of Stuttgart, 2024-2025), Theoretical and Methodological Foundations of Autonomous Systems (University of Stuttgart, 2025-2026).
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Invited Talks
- (Sep. 2025) School of Computing, National University of Singapore: Scaling Multi-Modal Learning: Hybrid Representations and Efficient Adaptation
- (May. 2025) Bosch Center for Artificial Intelligence, Germany: Optimized Adaptation Strategies for Multimodal Large Language Models
- (Dec. 2024) Lawrence Livermore National Laboratory USA: Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
- (Nov. 2024) ETH Zurich: Accelerating Transformer with Spectrum-Preservation
- (Aug. 2024) Perelman School of Medicine at the University of Pennsylvania: Prompt Learning with Unbalanced Optimal Transport
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Reviewer
- AAAI (2022-2026), MICCAI (2022-2025), CVPR (2024-2025), NeurIPS (2024-2025), ICLR (2025), AISTATS (2025), IEEE Transactions on Medical Imaging (TMI), Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Mentoring
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Beyond research, I actively mentor outstanding students in their academic and career goals. Students I've worked with include:
- Tran Hoai Chau - B.Sc. in Computer Science, VNU-HCMUS; currently a Ph.D. student at the University of Illinois Urbana-Champaign (UIUC).
- Quan Do - B.Sc. in Mathematics and Computer Science, VNU-HCMUS; currently a Ph.D. student in the Data and Artificial Intelligence program at Institut Polytechnique de Paris (IP Paris).
- Ha Le - B.Sc. in Computer Science, Fulbright University Vietnam; currently a Ph.D. student in the Data Science program at the National University of Singapore (NUS).
- Tuan Tran - M.Sc. in Computer Science, Saarland University; currently a Ph.D. student at the German Research Center for Artificial Intelligence (DFKI).