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Research Experience

Siemens Corporation, Corporate Technology
Princeton, NJ, USA
Dec 2020 - Present: Staff Scientist
Aug 2018 - Dec 2020: Research Scientist

  • Developing deep learning frameworks which improve transparency and data efficiency by incorporating prior-knowledge (e.g., underlying physics) into data-driven approaches.

  • Using self-supervised and adversarial learning to innovate AI solutions for industrial applications.

  • Conceptualizing, developing and executing Government-funded research projects in AI and systems science (funded projects include DARPA OFFSET Sprint, DoE-FE Advanced Materials).

Princeton University
Princeton, NJ, USA
Mar 2017 - Aug 2018: Associate Research Scholar
Mar 2015 - Mar 2017: Postdoctoral Research Associate

  • Developed a feedback controlled bifurcation framework for replicator-mutator dynamics and exploited it to investigate decentralized deicion-making.

  • Characterized cluster synchronization and mixed mode oscillations in networks of nonlinear oscillators.

  • Investigated parallel processing capability in human cognition and neural network architectures.

University of Maryland
College Park, MD, USA
Jun 2010 - Feb 2015: Graduate Research Assistant
Aug 2009 - May 2010: Graduate Fellow

  • Proposed novel data smoothing algorithms by using techniques from optimal control.

  • Investigated flight strategies and sensorimotor feedback mechanisms in biological collectives.

  • Designed bio-inspired control algorithms for collective behavior and implemented them on a fleet of autonomous ground vehicles.

Intelligent Automation Inc.
Princeton, NJ, USA
Jun 2012 - Aug 2012: Summer Research Intern

  • Worked on an NIJ-funded project (SBIR phase-2) for cellphone localization in an indoor environment. We used support vector machine (SVM) based clustering algorithms to address the problem.

  • Worked on a DoT-funded project (SBIR phase-1) to develop a anti-texting law enforcement system. System robustness was incorporated by using a multimodal sensing approach (RF detection, computer vision, driving behavior evaluation).

Teaching Experience

Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA

  • Nonlinear Control - Fall 2017

  • Transformations in Engineering and the Arts - Spring 2017, Spring 2016

  • Modern Control - Fall 2015

Graduate Teaching Assistant
Electrical and Computer Engineering, University of Maryland, College Park, MD, USA

  • Fundamental Electric and Digital Circuit Laboratory - Spring 2010

  • Numerical Techniques in Engineering - Fall 2009

Teaching Assistant
Systems and Control Engineering, IIT Bombay, Mumbai, India

  • Systems and Control Engineering Laboratory - Spring 2009, Spring 2008

  • Special Topics in Systems and Control - Spring 2009, Spring 2008

  • Systems Theory - Autumn 2008, Autumn 2007

Mentoring Experience

Technical Guidance
Mechanical and Aerospace Engineering, Princeton University

  • Elizabeth N. Davison,
    PhD Dissertation Topic: Heterogeneity and Synchronization of Coupled Neuronal Oscillator Networks

  • Matthew Romer,
    Undergraduate Thesis Topic: An Analysis of Controllability in Ring-Coupled Multi-Agent Systems with Complex Dynamics

Mentor for Undergraduate Research Program
Electrical and Computer Engineering, University of Maryland

  • Nosheen Moosvi, Fall 2013 - Spring 2014

  • Garrett Wenger, Fall 2012 - Spring 2013

  • Benjamin Flom, Summer 2011