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Mark Campbell

John A. Mellowes '60 Professor in Mechanical Engineering

Sibley School of Mechanical and Aerospace Engineering

Mark Campbell
Mark Campbell
Graduate Field Affiliations
Aerospace Engineering
Computer Science
Electrical and Computer Engineering
Mechanical Engineering
Systems Engineering
Theoretical and Applied Mechanics

Biography

Mark Campbell joined the Sibley School faculty at Cornell in 2001, and is currently the John A. Mellowes ’60 Professor of Mechanical and Aerospace Engineering; he served as the S. C. Thomas Sze Director for the Sibley School in 2011-2019. Prior to Cornell, Professor Campbell was an Assistant Professor at the University of Washington from 1997-2001. A graduate of Carnegie Mellon University (B.S.) and MIT (M.S., Ph.D.), Professor Campbell worked on MACE, a dynamics and control laboratory flown on Space Shuttle Endeavour in 1995. For the mission, his responsibilities involved the design of many of the 500 multivariable control experiments implemented on-orbit. As an academic, he has led research programs with strong impact broadly in aerospace and robotic systems, including control of flexible structures, formation flying spacecraft, student-designed and built satellites, cooperative UAVs, self-driving cars, and human-robotic teaming.

Professor Campbell spent sabbaticals as a Visiting Scientist at the Insitu group, maker of small autonomous UAV’s for commercial and defense applications; as an Australian Research Council International Fellow, working at the Australian Centre for Robotics (ACFR); and as a Visiting Scientist at Draper Labs. Professor Campbell was among a small group tenured faculty members across all disciplines in science and engineering selected for the Defense Science Study Group (DSSG). He then served on the Air Force Science Advisory Board (SAB), for which he received the U.S. Air Force Chief of Staff Award for Exceptional Public Service.

Professor Campbell has a passion for undergraduate teaching, with a focus on active learning and experiential projects. He has received multiple university and national teaching excellence awards including Cornell’s Stephen H. Weiss Presidential Fellow Award, Ralph S. Watts `72 Award, Douglas Whitney Award, Stephen Miles `57 Award, UW Aero Astro Professor of the Year award,  Frontier’s in Education Young Faculty Fellow, and American Society of Engineering Education Teaching Award. Professor Campbell received best paper awards from the AIAA (two), CPS-SPC, Frontier’s in Education, and best poster award at the International Symposium on Distributed Autonomous Robotic Systems; he also received the Bennet Prize from CMU and is an Andrew Carnegie Scholar. He has served as an Associate Editor for the AIAA Journal of Guidance, Control and Dynamics and the IEEE Transactions on Aerospace and Electronic Systems, and Associate Director on the American Automatic Control Council Board of Directors (member of IFAC). Professor Campbell is a Fellow of the AIAA, IEEE and ASME.

Research Interests

Control and autonomy for robotics, aircraft and spacecraft. Research areas include machine learning, perception and sensor fusion; optimization and learning based control and planning; decentralized/distributed estimation and control across teams; human-robotic interaction.

•      Robotics and Autonomy

•      Artificial Intelligence

•      Signal and Image Processing

•      Complex Systems, Network Science and Computation

•      Space Systems

Teaching Interests

Educational areas include system dynamics, estimation and control systems with an emphasis on experiential learning projects.

Service:

•      Air Force Science Advisory Board (SAB)

•      Cornell AI Radical Collaboration

•      Cornell VinUni Project

•      S.C. Thomas Sze Director of the Sibley School of Mechanical & Aerospace Engineering

 

Select Publications

  • J. Monica, M. Campbell, (2025) “Robust Robotic Swimming via Drop-out Learning,” 2025 International Conference on Robotics and Automation (ICRA).

  • J. Chen, J. Monica, W.-L. Chao, and M. Campbell, (2023) “Probabilistic uncertainty quantification of prediction models with application to visual localization,” in IEEE International Conference on Robotics and Automation (ICRA).

  • V. Shree, W.-L. Chao, and M. Campbell, (2020) “Interactive Natural Language-based Person Search,” IEEE Robotics and Automation Letters.

  • C. A. Diaz-Ruiz, Y. Xia, Y. You, J. Nino, J. Chen, J. Monica, X. Chen, K. Luo, Y. Wang, M. Emond, W.-L. Chao, B. Hariharan, K. Q. Weinberger, and M. Campbell, (2022) “Ithaca365: Dataset and driving perception under repeated and challenging weather conditions,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

  • Y. Wang, Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Q. Weinberger, (2019) “Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Select Awards and Honors

  • Stephen H. Weiss Presidential Teaching Fellow 2024
  • ASME Fellow, American Society of Mechanical Engineers 2021
  • U.S. Air Force Chief of Staff Award, United States Air Force 2020
  • AIAA Fellow, American Institute of Aeronautics and Astronautics 2020
  • IEEE Fellow, Institute of Electrical and Electronics Engineers 2018
  • Air Force Science Advisory Board (SAB) member, United States Air Force 2016
  • John A. Mellowes '60 Professor of Mechanical and Aerospace Engineering, College of Engineering, Cornell University 2015
  • AIAA Best Paper Award, AIAA Guidance Navigation and Control Conference 2012
  • Defense Sciences Study Group (DSSG) 2012
  • Best Conference Poster Award, 2012 International Symposium on Distributed Autonomous Robotic Systems 2012

Education

  • B.S., Mechanical Engineering, Carnegie-Mellon University 1990
  • M.S., Aeronatuics and Astronautics, Massachusetts Institute of Technology 1993
  • Ph.D., Control and Estimation, Massachusetts Institute of Technology 1996

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