Research

🔬 Current Research

BORACLE - Intelligent Algorithms

ML-driven health prognostics using wearable sensor data. Leading a cross-disciplinary team to tackle sub-problems in stress, sleep, and physical activity monitoring.

Discovery in Larger than Life Cellular Automata

Analyzing complex emergent behavior in Larger than Life cellular automata using Lua and Golly.

Empirical Investigations of Synthetic Data - Privacy, Utility, and Fidelity

Evaluating the privacy and utility of synthetically generated data using membership inference attacks. Examining fidelity from an information-theoretic perspective.

📁 Past Research

Predictive Energy Modeling for GPU Workloads

ML-driven workload scheduling to reduce GPU energy consumption.

Physics-Informed Neural Networks

An empirical study of Physics-Informed Neural Networks (PINNs) for modeling the chaotic driven damped pendulum, comparing Kolmogorov-Arnold Networks (KANs), Multilayer Perceptrons (MLPs), and traditional numerical solvers.