Scholar
Bardienus Pieter Duisterhof
Google Scholar ID: LLsYMFYAAAAJ
PhD student at Carnegie Mellon University
Citations & Impact
Citations
429
H-index
8
i10-index
8
Publications
20
Co-authors
11
list available
Resume (English only)
Academic Achievements
- Recipient of the 2023 CMLH Fellowship in Digital Health Innovation and the 2024 CMLH Fellowship in Generative AI in Healthcare; multiple papers accepted at NeurIPS 2025, 3DV 2025, CoRL 2024, etc., with MASt3R-SfM receiving the Best Student Paper Award at 3DV 2025; developed technologies such as RaySt3R, MASt3R-SfM, and more.
Research Experience
- Former research intern at NAVER Labs Europe's DUSt3R Group, advised by Jérome Revaud and Vincent Leroy; visiting student at Vijay Janapa Reddi's Edge Computing lab at Harvard University, focusing on Deep Reinforcement Learning for tiny robots; worked with Sebastian Scherer at CMU on geometric camera calibration during his first year.
Education
- Completed Bachelor's and Master's degrees in Aerospace Engineering at Delft University of Technology, Netherlands, advised by Guido de Croon; currently pursuing a Ph.D. at CMU, advised by Jeffrey Ichnowski, and frequently collaborates with Deva Ramanan and Bowen Wen.
Background
- Ph.D. student at Carnegie Mellon University (CMU), Robotics Institute, with research interests in the intersection of perception and robot manipulation of challenging objects, such as (transparent) deformables. Passionate about creating a future where complex robotic automation is scalable, safe, and beneficial.
Miscellany
- Always looking for collaborators, can be reached via email.
