Chandrajit Bajaj
Professor, Computational Applied Mathematics Chair in Visualization
Develops algorithms for geometric modeling, imaging data science and bioinformatics, including molecular modeling from cryo-EM voxel maps and data visualization.
Chandrajit Bajaj's lab at UT Austin works on proteins, drugs & materials, genomics & computational biology and geometry processing & modeling. 13 papers since 2023, 6 at top venues, mostly ICLR and ICONIP. 7 PhD students and 1 master's student. 27 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 46%
- PhD students
- 7
- MS students
- 1
- alumni listed
- 27
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 2 papers2025 · T1 1
- 5 papers2024 · T1 3
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, ICONIP, AAAI, AISTATS, Computers & Graphics
Research focuspaper titles that use each topic's words
- Geometry processing & modeling1 paper
- Proteins, drugs & materials0 papers
- Genomics & computational biology0 papers
- modeling0 papers
- data visualization0 papers
Paper list
From DBLP.
20264 papers
- Maple Trans.Computer Algebra Meets Hamiltonian Geometry: A Tribute to Laureano González-Vega on his 60th Birthday (opens in a new tab)
- ICLR (T1)GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments (opens in a new tab)
- MICCAI (T1)Posterior-Aware Motor Phenotyping with Multimodal Imaging Validation in Parkinson's Disease (opens in a new tab)
- EntropyThe Physics, Information, and Computation of Perennial Learning: Kolmogorov Complexity, Information Distance, and Port-Hamiltonian Thermodynamics (opens in a new tab)
20252 papers
20245 papers
- AAAI (T1)DeblurSR: Event-Based Motion Deblurring under the Spiking Representation (opens in a new tab)
- ICLR (T1)GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models (opens in a new tab)
- ICONIPLow-Cost Robust Night-Time Aerial Material Segmentation Through Hyperspectral Data and Sparse Spatio-Temporal Learning (opens in a new tab)
- ICONIPReinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach (opens in a new tab)
- AISTATS (T1)Sample Efficient Learning of Factored Embeddings of Tensor Fields (opens in a new tab)
20232 papers
Where alumni went27 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CAToronto
Alán Aspuru-Guzik
- Proteins, drugs & materials
- GBEdinburgh
Kia Nazarpour
- Medical imaging & healthcare AI
- USGeorgia Tech
Ferdous Alam
- Generative & foundation models
- USUC Berkeley
Victoria Coleman
- Human-AI collaboration & trust
- CNTsinghua
Jincheng Yu
- Planning, control & multi-robot systems
- GBOxford
Jens Rittscher
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UT Austincloses