Rushit N. Shah

PhD Candidate, Computer Science

University of Illinois, Chicago

Biography

My research interests include developing safe AI through imitation learning, optimization. I have also worked on developing algorithms for early fault detection in aerospace systems.

Interests

AI Safety
Imitation Learning
Inverse Reinforcement Learning
Optimization Methods

Education

PhD in Computer Science, 2025 (Expected)

University of Illinois, Chicago

Experience

Data Science Intern (NLP)

iManage Inc., Chicago (May - August, 2021)

Graduate Research Assistant

University of Illinois, Chicago (January 2022 - )

See list of Recent Publications.

Graduate Teaching Assistant

University of Illinois, Chicago (August 2018 - January 2022)

Recent Publications

Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Chodhury, Brian D. Ziebart. Value-Aligned Imitation via Focused Satisficing. NeurIPS Workshop on Pluralistic Alignment, 2024.

Rushit N. Shah, Brian D. Ziebart. Minimally Subdominant Decision Transformer. AAAI Spring Symposium, 2024.

Srivastava, Saket, Rushit N. Shah, Catalin Teodoriu, and Aditya Sharma. Impact of data quality on supervised machine learning: Case study on drilling vibrations. Journal of Petroleum Science and Engineering, 2022.

Srivastava, Saket, Rushit N. Shah, and Catalin Teodoriu. Natural Language Processing Based Information Extraction from Drilling Reports to Classify Drilling Dysfunction Severity. Geothermal Resources Council Transactions 45, 2022.

Rushit N. Shah, Varun Khemani, Michael H. Azarian, Michael G. Pecht, Y. Su. Analyzing data complexity using metafeatures for classification algorithm selection, 2018.

Rushit N. Shah. Fault Detection Framework for Imbalanced and Sparsely-Labeled Data Sets Using Self-Organizing Maps [M.S. Thesis], 2018.

Rushit N. Shah, Michael H. Azarian, Michaeel G. Pecht. Fault Detection in Bearings Using Autocorrelation, 2017.

Contact

rshah231 at uic dot edu
851 S. Morgan St., 11th Floor SEO, Chicago, IL 60607