About
I am an AI research director at J.P. Morgan AI Research. My work centers on synthetic data and generative AI, time series, and behavior modeling across a range of projects.
Current and ongoing work includes synthetic personas for credit-card marketing, behavior modeling to build personalized co-pilots for front-office teams, synthetic data for AML and fraud detection, time-series modeling — including using synthetic data to train time-series foundation models — and generative-AI agents for market simulation. A growing thread runs through all of it: using synthetic data to power agentic evaluations, stress-testing and benchmarking AI agents with controllable, privacy-safe data.
Before J.P. Morgan, I was a researcher at the Comcast AI group. Rutgers Discovery Informatics Institute, and Mitsubishi Electric Research Labs .
Research Interests
Publications
Journal & conference proceedingsPatents
Granted & pendingU.S. patents and applications assigned to JPMorgan Chase Bank, N.A. (and, for the 2016 patent, Mitsubishi Electric).
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US 12,524,653Granted
Method and System for Efficient Learning on Large Multiplex Networks
C. Baykal, V. K. Potluru, S. Shah, M. Veloso · 2026
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US 12,488,135Granted
System and Method for Watermarking Tabular Data While Obscuring Underlying Data for Improving Data Integrity and Security
V. K. Potluru, T. R. Balch, M. Veloso · 2025
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US 12,223,088Granted
Method and System for Differentially Private Learning of Hawkes Processes
M. Ghassemi, E. Kreačić, N. Dalmasso, V. K. Potluru, T. R. Balch, et al. · 2025
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US 11,632,305Granted
Method and System for Link Prediction in Large Multiplex Networks
V. K. Potluru, R. E. Tillman, P. P. Reddy, M. M. Veloso · 2023
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US 9,477,895Granted
Method and System for Detecting Events in an Acoustic Signal Subject to Cyclo-Stationary Noise
J. R. Hershey, V. K. Potluru, J. Le Roux · 2016
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App. 18/379,040Pending
Method and System for Supervised Generative Optimization for Synthetic Data Generation
S. N. Sakai, F. Hamad, S. Obitayo, V. K. Potluru · 2025
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App. 18/521,243Pending
Method and System for Pre-processing Data for Algorithmic Fairness via Optimal Transport
N. Dalmasso, Z. Xiong, A. Mishler, V. K. Potluru, T. R. Balch, et al. · 2025
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App. 18/391,142Pending
Method and System for Utilizing Synthetic Data in Robust Adversarial Training
E. Kreačić, A. Selvi, M. Ghassemi, V. K. Potluru, T. R. Balch, M. Veloso · 2025
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App. 18/533,875Pending
Method and System for Data Generation Control via Margin Relaxed Schrödinger Bridges
E. Kreačić, R. Wei, M. Ghassemi, V. K. Potluru, T. R. Balch, et al. · 2025
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App. 18/524,760Pending
Method and System for Generating Fair Synthetic Representative Data via Optimal Transport
N. Dalmasso, Z. Xiong, V. K. Potluru, T. R. Balch, M. Veloso · 2025
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App. 18/134,188Pending
Method and System for Synthetic Event Series Generation
R. Zhao, N. Dalmasso, M. Ghassemi, V. K. Potluru, T. R. Balch, et al. · 2024
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App. 18/119,022Pending
Method and System for Obtaining Conditional Demographic Parity Through Optimal Transport in Data-Driven Model
L. Zhang, M. Ghassemi, I. Brugere, N. Dalmasso, A. Mishler, V. K. Potluru, et al. · 2024
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App. 18/212,438Pending
Method and System for Ensuring Privacy Protection for Datasets Using Space Partitioning Techniques
N. Nouri, E. Kreačić, V. K. Potluru, T. R. Balch, M. Veloso · 2024
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App. 17/359,076Pending
Method and System for Interpreting Customer Behavior via Customer Journey Embeddings
S. Lamba, V. K. Potluru, M. M. Veloso, P. P. Reddy · 2022
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App. 17/656,297Pending
Method and System for Online Learning for Mixture of Multivariate Hawkes Processes
M. Ghassemi, S. Lamba, V. K. Potluru, S. Shah, M. Veloso · 2022