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PhD

Washington University in St. Louis

System Science & Mathematics

• Courses: Optimization, Introduction to Machine Learning, Theory of Statistics, Measure Theory and Functional Analysis, High-Dimensional Statistics

M.Tech.

Indian Institute of Technology, Kharagpur

Control Systems Engineering

• Courses: Programming and Data Structure, Probability & Stochastic Process, Data Structure and Algorithms, Digital Control

B.Tech. (Honors)

Indian Institute of Technology, Kharagpur

Electrical Engineering

• Courses: Signal & Networks, Switching & Finite Automata, Control Theory, Linear Dynamical Systems, Nonlinear Systems

Research Engineer

Taiwan Semiconductor Manufacturing Company (TSMC)

RC Interconnect Modeling for Sub 10nm CMOS Technology Nodes

• Integrated different SOC designs like ASIC on ASIC (AOA), system on integrated chip (SOIC) and wafer on wafer (WOW) to implement 3D-IC RC tech files for 7nm and 12nm nodes

A Data-efficient Framework for Inference of Nonlinear Oscillator Networks

IFAC-PapersOnLine

A data-driven inference technique that can identify the network structure reliably in the case of limited measurement data.

Iterative Approach to Optimal Control Design for Oscillator Networks

IEEE

We design time or energy-optimal controls for a network of coupled neurons. This work proposes a unified framework that offers the flexibility to blend the time-optimal and energy-optimal considerations with a parameter of choice.

Optimal Phase-Selective Entrainment of Heterogeneous Oscillator Ensembles

SIAM Journal on Applied Dynamical Systems

We design optimal entrainment signals that entrain an ensemble of heterogeneous nonlinear oscillators at desired phases.