CV - Ipsita Ghosh

Research Interests

Low-rank optimization, scalable machine learning algorithms, and non-convex optimization

Education

PhD in Computer Science 2025 – Present

University of Central Florida

Advisor: Dr. Christian Kümmerle | Member, UCF Institute for Artificial Intelligence

PhD in Computer Science (transferred) 2023 – 2025

University of North Carolina at Charlotte

M.Sc. in Data Science 2021

Chennai Mathematical Institute

M.Sc. in Mathematics 2018

University of Delhi

B.Sc. in Mathematics 2016

St. Xavier's College, Kolkata

Technical Skills

Programming: Python, C/C++, MATLAB

ML/DL Packages: PyTorch, TensorFlow, Scikit-learn, Pandas, OpenCV

Tools: LaTeX, Git, HTML, Excel, Mathematica

Experience

Summer Research Intern May – Aug 2025

Rutgers University (DIMACS)

Low-rank optimization in RLHF; Robust Game Theory; Worked with Dr. Arunesh Sinha

Engineer, Data Scientist May 2021 – June 2023

Micron Technology

Accelerated systems with data/model-driven solutions using Online Change Point Detection, Bayesian Optimization, and Self-Supervised Representation Learning

Selected Publications

NeurIPS 2025: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training

Ipsita Ghosh*, E. Nguyen*, C. Kuemmerle

NeurIPS 2024: Sample-Efficient Geometry Reconstruction from Euclidean Distances Using Non-Convex Optimization

Ipsita Ghosh, A. Tasissa, C. Kuemmerle

SIAM 2024: Solving Euclidean Distance Geometry Problems from Few Samples via IRLS

Ipsita Ghosh, C. Kuemmerle, A. Tasissa

Patents

US 12019874 B2: Automated Optimization of Error-Handling Flows in Memory Devices

J. Sarkar, Ipsita Ghosh, V. P. Rayaprolu (Granted June 2024)

US 11949363 B2: Application Level Adaptive SSD Optimization for Error Handling

J. Sarkar, V. P. Rayaprolu, Ipsita Ghosh (Granted May 2024)

Professional Service

Reviewer: NeurIPS 2025

Teaching Assistant: Machine Learning, Spring 2024