Scholar
Chandrajit Bajaj
Google Scholar ID: gyL3CZ0AAAAJ
Computational Applied Mathematics Chair, Professor of Computer Science,
Comp. Math.
Data Sciences
Image Processing
Geometric Modeling
Structural Bioinformatics and Visualization
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
3,590
H-index
30
i10-index
79
Publications
20
Co-authors
62
list available
Contact
No contact links provided.
Publications
6 items
PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
2026
Cited
0
GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments
arXiv.org · 2025
Cited
0
Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
2025
Cited
0
Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation
2025
Cited
0
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs
2025
Cited
0
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning
2024
Cited
0
Resume (English only)
Academic Achievements
- Published paper 'Improving Image Recognition Accuracy with Deep Learning' in the International Journal of Computer Vision, 2019
- Received Second Prize for National Science and Technology Progress, 2020
- Holds three U.S. patents related to novel data compression techniques and algorithm optimization methods
Research Experience
- Senior Researcher, ABC Institute, 2020-Present
- Participated in the national project 'Smart City Data Platform', serving as the technical lead
- Led multiple data analysis projects as a Data Scientist at DEF Company
Education
- Ph.D., XX University, Department of Computer Science, 2015-2020, Advisor: Prof. Zhang
- M.S., YY University, School of Software Engineering, 2012-2014
- B.S., ZZ University, College of Information Technology, 2008-2012
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Bio: Focused on developing efficient data processing algorithms and models.
Miscellany
- Enjoys reading science fiction novels
- Has a strong interest in photography
- Actively participates in community service activities
Co-authors
62 total
Co-author 1
Valerio Pascucci
Endowed Chair professor and Director of the Center for Extreme Data Management Analysis and
Co-author 3
Yongjie Jessica Zhang
George Tallman Ladd and Florence Barrett Ladd Professor, Carnegie Mellon University
Co-author 5
Co-author 6
Co-author 7
Jindong (JD) Chen
Google DeepMind
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