Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…

Jason Siegel

Verified

University of Michigan · Mechanical Engineering

Active 2003–2024

h-index38
Citations5.0k
Papers254112 last 5y
Funding$338k
See your match with Jason Siegel — sign in to PhdFit.Sign in

Research topics

  • Computer Science
  • Automotive engineering
  • Mechanical engineering
  • Engineering

Selected publications

  • Control of hybrid boosting in highly diluted internal combustion engines

    International Journal of Engine Research · 2020 · 9 citations

    • Computer Science
    • Automotive engineering
    • Engineering

    A novel hybrid system enabling both flexible supercharging and limited torque assist is studied to mitigate transient response challenges of a turbocharged spark ignition engine equipped with low pressure exhaust gas recirculation. The hybrid system, called a power split supercharger (SC), is configured with a planetary gear set that splits the supercharging power between a small low-voltage electric motor and the engine crankshaft. The air path controller relies on the coordination of four actuators on the engine side and three low-level actuators on the hybrid boosting device. A decentralized control scheme is used in this work, in which the master–slave structure of the boost pressure controller decreases the turbo-lag associated with exhaust gas recirculation, while minimizing the SC operation for fuel economy. A vector reference governor is used to prevent compressor surge during engine tip-outs. In addition, the desired intake manifold pressure is modified to provide time for evacuating the exhaust gas recirculation and avoiding misfires when transitioning to low load, while the hybrid capability of the power split SC is used to recuperate the unwanted generated power. All controllers are validated on both a mean value engine model and a high-fidelity engine model. Practical challenges of implementing the vector reference governor to the highly nonlinear engine air path with pressure pulsations originating from the engine reciprocation are discussed and some solutions are proposed.

Recent grants

Frequent coauthors

  • Anna G. Stefanopoulou

    269 shared
  • G. Pappas

    Michigan State University

    64 shared
  • Zheng Wang

    64 shared
  • F Lamnabhi-Lagarrigue

    Imperial College London

    64 shared
  • Tarıq Samad

    University of Minnesota

    64 shared
  • Francesco Bullo

    Dynamic Systems (United States)

    64 shared
  • Hybrid Systems

    University of Michigan–Ann Arbor

    64 shared
  • Jorge Cortés

    University of California, San Diego

    64 shared

Education

  • Ph.D., Electrical Engineering

    University of Michigan

    2010
  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Jason Siegel

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup