Stephen Bruder

Title
Professor of Electrical Engineering
Email
Department
Electrical, Computer & Software Engr Department
College
College of Engineering

Areas of Expertise

  • Aided Inertial Navigation for Unmanned Autonomous Systems (UAS)
  • Robotics and Control: Mobile and Manipulators
Stephen Bruder

Dr. Bruder has worked for the national labs, held the position of CTO in the aerospace industry, and is currently a professor in the Computer, Electrical, and Software Engineering Department.

  • Ph.D. - Doctor of Philosophy in Electrical Engineering, Queen's University
  • M.S. - Master of Science in Electrical Engineering, Queen's University
  • EGR 115, CEC 220, CEC 222, EE 314, EE 315, EE 401, EE 402, ME 406L, EE 440, EE 460, EE 499
  • Guest lecturer on Navigation Systems
  • J. Dorfling, S. Siewert, C. Aranzazu-Suescun, S. Bruder, K. Rocha, P. Landon, G. Bondar, and T Pederson, "Satellite, Aerial, and Ground Sensor Fusion Experiment for Management of Elephants and Rhinos and Poaching Prevention," (accepted) 2022 AIAA SciTech, San Diego, California, 3-7 Jan 22.
  • David Olson, Stephen Bruder, Adam Watkins, Cleon Davis, "Accurate Dead-Reckoning Localization Techniques for Autonomous Mobile Robots in GNSS-Denied Indoor Environments," ICRLA004 2021: 15. International Conference on Robotics, Learning and Algorithms, Sydney, Australia, December 02-03, 2021.
  • S. Siewert, M. Andalibi, S. Bruder, J. Buchholz, D. Chamberlain, A. Erno, T. Shiroma, and D. Stockhouse, “Comparison of RADAR, Passive Optical with Acoustic, and Fused Multi-Modal Active and Passive Sensing for UAS Traffic Management Compliance and Urban Air Mobility Safety”, AIAA SciTech [program, presentation], Orlando, January 2020.
  • S. Siewert, R. Sampigethaya, S. Bruder, M. Andalibi, “Multi-modal Active and Passive Sensing Experiments for Fail-Safe and Fail-Secure Urban UAS Traffic Management”, AUVSI Xponential, Chicago, May 2019.
  • Siewert, M. Andalibi, S. Bruder, J. Buchholz, S. Rizor, R. Fernandez, “Slew-to-Cue Electro-Optical and Infrared Sensor Network for small UAS Detection, Tracking and Identification”, AIAA SciTech, San Diego, January 2019.
  • S. Siewert, M. Andalibi, S. Bruder, I. Gentilini, A. Dandupally, S. Gavvala, O. Prabhu, J. Buchholz, D. Burklund, “Drone Net, a passive instrument network driven by machine vision and machine learning to automate UAS traffic management”, AUVSI Xponential poster, Denver, Colorado, May 2018.
  • Aly El-Osery, Stephen Bruder, and Kevin Wedeward, "Using Multiple IMUs in a Stacked Filter Configuration for Calibration and Fine Alignment," SPIE Defense + Commercial Sensing conference, Orlando FL, 15 - 19 April 2018.
  • S. Siewert, M. Andalibi, S. Bruder, I. Gentilini, J. Buchholz, “Drone Net Architecture for UAS Traffic Management Multi-modal Sensor Networking Experiments”, IEEE Aerospace Conference [program, presentation], Big Sky, Montana, March 2018.
  • Tobias Fauser, Stephen Bruder, and Aly El-Osery, "A Comparison of Inertial-Based Navigation Algorithms for a Low-Cost Indoor Mobile Robot," IEEE 12th International Conference on Computer Science and Education (ICCSE), Houston, TX, 22-25 Aug 2017 (Received best paper award).
​Over 30 years of technical knowledge in control, robotics, and navigation systems. Industrial administrative and strategic leadership in research and technology development. Technical expertise as a principal investigator on over $20M of funded research and development.
IEEE senior member
  • 2020 Invited Panelist at UMEX/SimTEX 2020 Conference, Abu Dhabi, UAE
  • 2017 IEEE 12th ICCSE conference best paper award
  • 2016-17 ERAU Faculty Group of the Year for Research (ICARUS)
  • 2016 ERAU Faculty Researcher of the Year
  • 2015-16 ERAU Faculty Researcher of the Year 2015 ERAU Distinguished Faculty Award
  • 2015 ERAU COE Teacher of the year
  • 2015 ERAU Commencement Guest Speaker