Chandrajit Bajaj
Scholar

Chandrajit Bajaj

Google Scholar ID: gyL3CZ0AAAAJ
Computational Applied Mathematics Chair, Professor of Computer Science,
Comp. Math.Data SciencesImage ProcessingGeometric ModelingStructural Bioinformatics and Visualization
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Citations & Impact
All-time
Citations
3,590
 
H-index
30
 
i10-index
79
 
Publications
20
 
Co-authors
62
list available
Publications
10 items
QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery
2026
Cited
0
Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms
2026
Cited
0
When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
2026
Cited
0
Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation
2026
Cited
0
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
Resume
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
8 total
Valerio Pascucci
Valerio Pascucci
Endowed Chair professor and Director of the Center for Extreme Data Management Analysis and
Yongjie Jessica Zhang
Yongjie Jessica Zhang
George Tallman Ladd and Florence Barrett Ladd Professor, Carnegie Mellon University
Zeyun Yu
Zeyun Yu
Professor of Computer Science & Biomedical Engineering, University of Wisconsin-Milwaukee
Jindong (JD) Chen
Jindong (JD) Chen
Google DeepMind
Tamal K. Dey
Tamal K. Dey
Professor Computer Science, Purdue University
Thomas JR Hughes
Thomas JR Hughes
Peter O'Donnell Jr. Chair in Computational and Applied Mathematics, University of Texas at Austin
Scott A Mitchell
Scott A Mitchell
Center for Computing Research, Sandia National Laboratories
Qixing Huang
Qixing Huang
Associate Professor of Computer Science, UT Austin