John A. Mellowes ’60 Professor in Mechanical Engineering
Sibley School of Mechanical and Aerospace Engineering
Professor Campbell is interested in autonomy for robotics, aircraft and spacecraft. Research areas include sensor fusion and perception; decentralized estimation and control; human decision modeling and human-robotics interaction; nonlinear and hybrid estimation theory; formation flying spacecraft, and structural dynamics and control. Professor Campbell’s educational areas include control systems, estimation, and space systems with an emphasis on experiential learning projects.
Mark Campbell joined the Sibley School faculty at Cornell in 2001, and is currently the John A. Mellowes ’60 Professor Professor of Mechanical and Aerospace Engineering. 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. Professor Campbell spent his 2005-06 sabbatical year as a Visiting Scientist at the Insitu group, maker of small autonomous UAV’s for commercial and defense applications, and as an Australian Research Council (ARC) International Fellow, working at the ARC Centre of Excellence for Autonomous Systems in Sydney Australia. In 2012-13, Professor Campbell was among a small group of tenured faculty members across all disciplines in science and engineering selected for the Defense Science Study Group (DSSG). He currently serves on the Air Force Science Advisory Board (SAB).
Professor Campbell has received a number of teaching awards including Cornell’s College of Engineering Stephen Miles ’57 Award (2004) and the Douglas Whitney Award (2010), the American Society of Engineering Education Teaching Award (2007), the UW Aeronautics and Astronautics Professor of the Year award (1999), and the Frontier’s in Education Youg Faculty Fellow. Professor Campbell has delivered several keynote addresses at conferences, and received best paper awards from the AIAA (2004,2011), Frontier’s in Education conference (1999), and best poster award at the International Symposium on Distributed Autonomous Robotic Systems (2012); he also received the Bennet Prize and is an Andrew Carnegie Scholar. He is currently an Associate Fellow of the AIAA, and is serving as Associate Director on the American Automatic Control Council Board of Directors (member of IFAC) and as an Associate Editor for the AIAA Journal of Guidance, Control and Dynamics and the IEEE Transactions on Aerospace and Electronic Systems.
Control and autonomy for systems such as robotics, aircraft and spacecraft. Research areas include autonomous robotics, human decision modeling, sensor fusion, nonlinear and hybrid estimation theory, integrated estimation and control, formation flying satellites, and structural dynamics and control.
- Artificial Intelligence
- Complex Systems, Network Science and Computation
- Satellite Systems
- Sensors and Actuators
- Signal and Image Processing
- Robotics and Autonomy
- Space Science and Engineering
Educational areas focus on control systems, estimation, robotics, spacecraft, and systems engineering with an emphasis on experiential learning projects.
5-year appointment as S.C. Thomas Sze Director of the Sibley School of Mechanical & Aerospace Engineering.
- 2017.“An Adaptable, Probabilistic, Next Best View Algorithm for Reconstruction of Unknown 3D Objects.”IEEE Robotics and Automation Letters 1-1. .
- 2016.“Distributed Data Fusion: Neighbors, Rumors, and the Art of Collective Knowledge.”IEEE Control Systems36(4): 83-109. .
- 2016.“Probabilistic Qualitative Mapping for Robots.”Paper presented at IEEE International Conference on Robotics and Automation (ICRA), May. .
- 2016.“An Efficient Probabilistic Surface Normal Estimator.”Paper presented at IEEE International Conference on Robotics and Automation (ICRA), May. .
- 2016.“An Efficient Robotic Exploration Planner with Probabilistic Guarantees.”Paper presented at IEEE International Conference on Robotics and Automation (ICRA), May. .
Selected Awards and Honors
- 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 (Cornell College of Engineering) 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
- 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