World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5874
World Ranking
9828
National Ranking
4137

Overview

Rahul Mangharam is affiliated with the University of Pennsylvania in the United States. Their research spans multiple fields within computer science and engineering, with a focus on artificial intelligence, control and systems engineering, and automotive engineering. Their work also extends into computer vision and pattern recognition as well as cardiology and cardiovascular medicine.

The scientist's research topics include:

  • Autonomous Vehicle Technology and Safety
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Formal Methods in Verification
  • Control Systems and Identification

Among recent publications, the following papers are notable:

  • Data-driven switching modeling for MPC using Regression Trees and Random Forests (2020), published in Nonlinear Analysis Hybrid Systems
  • Differentiable Safe Controller Design Through Control Barrier Functions (2022), published in IEEE Control Systems Letters
  • Anytime Computation and Control for Autonomous Systems (2020), published in IEEE Transactions on Control Systems Technology
  • Stress Testing Autonomous Racing Overtake Maneuvers with RRT (2022), published in 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack (2022), published in 2022 IEEE Intelligent Vehicles Symposium (IV)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • IFAC-PapersOnLine
  • IEEE Transactions on Biomedical Engineering
  • Nonlinear Analysis Hybrid Systems

Rahul Mangharam has collaborated extensively with several co-authors including Hongrui Zheng, Johannes Betz, Zirui Zang, Shuo Yang, and Yash Vardhan Pant. These collaborations have contributed to a significant number of publications in their main research fields.

Best Publications

  • Data-driven model predictive control using random forests for building energy optimization and climate control

    Francesco Smarra;Francesco Smarra;Achin Jain;Tullio de Rubeis;Dario Ambrosini

  • Cyber–Physical Modeling of Implantable Cardiac Medical Devices

    Zhihao Jiang;M. Pajic;R. Mangharam

  • The Wireless Control Network: A New Approach for Control Over Networks

    M. Pajic;S. Sundaram;G. J. Pappas;R. Mangharam

  • RT-Link: A Time-Synchronized Link Protocol for Energy- Constrained Multi-hop Wireless Networks

    A. Rowe;R. Mangharam;R. Rajkumar

  • Modeling and verification of a dual chamber implantable pacemaker

    Zhihao Jiang;Miroslav Pajic;Salar Moarref;Rajeev Alur

  • GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks

    Rahul Mangharam;Daniel Weller;Raj Rajkumar;Priyantha Mudalige

  • Voice over Sensor Networks

    R. Mangharam;A. Rowe;R. Rajkumar;R. Suzuki

  • Toward patient safety in closed-loop medical device systems

    David Arney;Miroslav Pajic;Julian M. Goldman;Insup Lee

  • MLE+: a tool for integrated design and deployment of energy efficient building controls

    Willy Bernal;Madhur Behl;Truong Nghiem;Rahul Mangharam

  • Smooth operator: Control using the smooth robustness of temporal logic

    Yash Vardhan Pant;Houssam Abbas;Rahul Mangharam

  • Model-Driven Safety Analysis of Closed-Loop Medical Systems

    Miroslav Pajic;Rahul Mangharam;Oleg Sokolsky;David Arney

  • FireFly: a cross-layer platform for real-time embedded wireless networks

    Rahul Mangharam;Anthony Rowe;Raj Rajkumar

  • GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks

    Rahul Mangharam;Daniel S. Weller;Daniel D. Stancil;Ragunathan Rajkumar

  • The Swarm at the Edge of the Cloud

    Edward A. Lee;Jan Rabaey;Björn Hartmann;John Kubiatowicz

  • Closed-loop verification of medical devices with model abstraction and refinement

    Zhihao Jiang;Miroslav Pajic;Rajeev Alur;Rahul Mangharam

  • Fly-by-logic: control of multi-drone fleets with temporal logic objectives

    Yash Vardhan Pant;Houssam Abbas;Rhudii A. Quaye;Rahul Mangharam

  • Learning and control using gaussian processes: towards bridging machine learning and controls for physical systems

    Achin Jain;Truong X. Nghiem;Manfred Morari;Rahul Mangharam

  • MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks

    S. Pollin;R. Mangharam;B. Bougard;L. Van der Perre

  • From Verification to Implementation: A Model Translation Tool and a Pacemaker Case Study

    Miroslav Pajic;Zhihao Jiang;Insup Lee;Oleg Sokolsky

  • Real-Time Heart Model for Implantable Cardiac Device Validation and Verification

    Zhihao Jiang;Miroslav Pajic;Allison Connolly;Sanjay Dixit

  • F1/10: An Open-Source Autonomous Cyber-Physical Platform

    Matthew O'Kelly;Varundev Sukhil;Houssam Abbas;Jack Harkins

  • Cyber-Physical Modeling of Implantable Cardiac Medical Devices The authors present an approach for verification of heart pacemaker device software, and a heart model that is effective when a pacemaker drives the heart into a harmful condition.

    Zhihao Jiang;Miroslav Pajic;Rahul Mangharam

Frequent Co-Authors

Miroslav Pajic
Miroslav Pajic Duke University
George J. Pappas
George J. Pappas University of Pennsylvania
Ragunathan Rajkumar
Ragunathan Rajkumar Carnegie Mellon University
Shreyas Sundaram
Shreyas Sundaram Purdue University West Lafayette
Anthony Rowe
Anthony Rowe Carnegie Mellon University
Insup Lee
Insup Lee University of Pennsylvania
Oleg Sokolsky
Oleg Sokolsky University of Pennsylvania
Rajeev Alur
Rajeev Alur University of Pennsylvania
Sofie Pollin
Sofie Pollin KU Leuven

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to various online degree options that can be flexible and budget-friendly. For those just starting out, an associate degree in 6 months online can be a quick way to gain foundational skills and boost employability.

Advancing further, an affordable master degree online allows you to specialize in key computer science areas without breaking the bank. If your goal is to move into senior roles and drive change within organizations, consider the best online doctorate in organizational leadership.

For those interested in academia or top-tier leadership positions, explore the cheapest accredited online doctoral programs that provide recognized credentials at an affordable cost. Each pathway offers unique benefits, making online education in computer science accessible to students at any stage of their professional journey.

Best Scientists Citing Rahul Mangharam

Trending Scientists

Recently Published Articles