Dr. Umar Iqbal
- About
- Selected Research
Biography
Dr. Umar Iqbal is an Associate Professor of Electrical Engineering and a founding faculty member of the College of Engineering at Illinois State University. His research develops resilient multisensor autonomy, sensor fusion, estimation, GNSS-challenged navigation, robotic perception, and control that let intelligent vehicles and robots operate reliably when GNSS or individual sensors are degraded, uncertain, or unavailable. That work has progressed from MEMS-based inertial/GNSS integration and nonlinear navigation-error modeling to radar- and LiDAR-aided sensing, precise point positioning, robotic navigation, and integrity-aware autonomy. He has authored more than 50 peer-reviewed publications with 1,200+ citations (Google Scholar), contributed as a Co-PI, faculty advisor, and investigator on NSF- and DOE/Argonne-funded programs totaling nearly $3 million, and co-supervised and mentored 8 master's and 12 doctoral students.
At Illinois State, Dr. Iqbal contributes to building the new College of Engineering by developing and teaching first-year engineering design, leading the MotoVida humanitarian design challenge with OSF HealthCare, and helping establish teaching and robotics laboratories, design studios, a makerspace, and ABET processes.
He joined Illinois State in 2024 from Mississippi State University (2018–2024), where he was Co-PI on an NSF S-STEM award for engineering transfer students, faculty advisor to the DOE/Argonne EcoCAR EV Challenge team, and co-architect of the ECE department's fully online program. Earlier, he was a postdoctoral fellow and deputy director of the NavINST Research Lab at the Royal Military College of Canada and Queen's University, taught engineering design at the University of Ottawa and Queen's University, and held industry R&D roles.
He holds a Ph.D. in Electrical and Computer Engineering from Queen's University. He is a licensed Professional Engineer (P.Eng., APEGA), a Senior Member of IEEE, a member of the Institute of Navigation, and an Associate Editor of the Canadian Journal of Electrical and Computer Engineering. He has developed and taught more than 25 distinct courses across five universities, from first-year design to graduate multisensor fusion, robotics, and control; he was inducted into Mississippi State's Academy of Distinguished Teachers in 2024 and received University College's 2026 Impact Award at Illinois State for contributions to student success.
Current Courses
ELE 220.001 Circuits II
EGR 130.001 Introduction to Engineering Design
ELE 225.001 Mechatronics I
EGR 120.001 Engineering Explorations
EGR 120.003 Engineering Explorations
EGR 120.005 Engineering Explorations
Teaching Interests & Areas
First-Year Engineering Design; Autonomous Systems Design; Multisensor Data Fusion and Estimation; Robotics (Mechanics, Dynamics, Planning, and Control); Navigation Systems (GNSS/INS); Feedback and Digital Control Systems; Embedded and Real-Time Systems; Signals and Systems; Circuits and Electronics; Electromagnetics; Project-Based, Laboratory, Design-Studio, and Blended Learning
Research Interests & Areas
Resilient Multisensor Autonomy: sensor fusion and estimation that keep intelligent vehicles and robots operating under degraded, uncertain, or adversarial sensing; integrity monitoring and fault detection; trustworthy autonomous systems
Positioning and Navigation: GNSS/INS integration; low-cost MEMS inertial sensing; precise point positioning; navigation in GNSS-challenged and GNSS-denied environments; radar- and LiDAR-aided navigation; indoor and pedestrian positioning
Robotic Perception and Control: LiDAR-based perception; robotic navigation and control on ROS 2 platforms; direction-of-arrival estimation for vehicle localization; machine learning for low-cost inertial sensors
Interdisciplinary Research: humanitarian robotics (MotoVida all-terrain mini-ambulance with OSF HealthCare); sensing for healthcare sustainability and biomechanics; agricultural robotics and sensing; engineering-education research on first-year design and blended learning
