Michail Zavlanos

Zavlanos

Yoh Family Associate Professor of Mechanical Engineering and Materials Science

Michael M. Zavlanos research focuses on control theory, optimization, learning, and AI and, in particular, autonomous systems and robotics, networked and distributed control systems, and cyber-physical systems.

Appointments and Affiliations

  • Yoh Family Associate Professor of Mechanical Engineering and Materials Science
  • Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
  • Associate Professor in the Department of Electrical and Computer Engineering
  • Associate Professor of Computer Science
  • Associate of the Duke Initiative for Science & Society

Contact Information

  • Office Location: Wilkinson Building, Room 417, Durham, NC 27708
  • Office Phone: (919) 660-5528
  • Email Address: michael.zavlanos@duke.edu
  • Websites:

Education

  • Ph.D. University of Pennsylvania, 2008

Research Interests

Control theory, optimization, and learning; in particular, robotics and autonomous systems, networked and distributed control systems, and cyber-physical systems.

Awards, Honors, and Distinctions

  • Young Investigator Program Award. Office of Naval Research. 2014
  • Faculty Early Career Development (CAREER) Program. National Science Foundation. 2012
  • Faculty Early Career Development (CAREER) Program. National Science Foundation. 2011

Courses Taught

  • CEE 627: Linear System Theory
  • COMPSCI 391: Independent Study
  • ECE 382L: Control of Dynamic Systems
  • EGRMGMT 591: Special Readings in Engineering Management
  • ME 344L: Control of Dynamic Systems
  • ME 391: Undergraduate Projects in Mechanical Engineering
  • ME 591: Research Independent Study in Mechanical Engineering or Material Science
  • ME 592: Research Independent Study in Mechanical Engineering or Material Science
  • ME 627: Linear System Theory
  • ME 758S: Curricular Practical Training

In the News

Representative Publications

  • Kantaros, Y; Zavlanos, MM, Sampling-based optimal control synthesis for multirobot systems under global temporal tasks, Ieee Transactions on Automatic Control, vol 64 no. 5 (2019), pp. 1916-1931 [10.1109/TAC.2018.2853558] [abs].
  • Ma, WJ; Oh, C; Liu, Y; Dentcheva, D; Zavlanos, MM, Risk-averse access point selection in wireless communication networks, Ieee Transactions on Control of Network Systems, vol 6 no. 1 (2019), pp. 24-36 [10.1109/TCNS.2018.2792309] [abs].
  • Freundlich, C; Zhang, Y; Zavlanos, MM, Distributed Hierarchical Control for State Estimation with Robotic Sensor Networks, Ieee Transactions on Control of Network Systems, vol 5 no. 4 (2018), pp. 2023-2035 [10.1109/TCNS.2017.2782481] [abs].
  • Guo, M; Zavlanos, MM, Probabilistic Motion Planning Under Temporal Tasks and Soft Constraints, Ieee Transactions on Automatic Control, vol 63 no. 12 (2018), pp. 4051-4066 [10.1109/TAC.2018.2799561] [abs].
  • Lee, S; Zavlanos, MM, Approximate projection methods for decentralized optimization with functional constraints, Ieee Transactions on Automatic Control, vol 63 no. 10 (2018), pp. 3248-3260 [10.1109/TAC.2017.2778696] [abs].