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Onur Toker

Professor

Email: otoker@floridapoly.edu

Phone: +1 (863) 874-8811

Location: Main Campus

Office: IST-2101

Department: Computer Engineering

Dr. Onur Toker is a professor of computer engineering at Florida Poly. After completing his doctorate, he worked as a graduate researcher at the Technical University of Eindhoven (The Netherlands), and the University of California (Riverside).

Later, he worked at the College of Computer Sciences and Engineering, K.F.U.P.M., K.S.A., and Dept. of Electrical and Electronics Eng., TCFU, Istanbul, Turkey. During this time, he also worked as a consultant for Teknobil, Vatan Gida, and ACC Makina, all in Istanbul, Turkey.

Prior to joining Florida Poly, he worked for the LiDAR company, Quanergy, (Sunnyvale, California), and then later for the augmented reality company, DAQRI, (Sunnyvale and Pasadena, California). Later he also worked for a stealth mode startup for a driver behavior analysis project.

Toker is actively involved in teaching and research. He has published about 100 technical papers, supervised or co-supervised several graduate students, and was PI or co-PI for several funded projects.

Awards and Honors

  • 2002, 2003: Interdisciplinary Research Award, K.F.U.P.M., K.S.A.
  • 1995: Ohio State University Presidential Fellowship award
  • 1990: Ranked 1st among graduating seniors in the double major program

 

Education

  • Ph.D. in Electrical Engineering, Ohio State University, 1995
  • M.S. in Math, Ohio State University, 1994
    M.S. in Electrical Engineering, Ohio State University, 1992
  • B.S. in Electrical and Electronics Engineering, Bogazici University, 1990
  • B.S. in Math, Bogazici University, 1990
  • B.S. in Physics, Bogazici University, 1990

Expertise

  • Hardware acceleration
  • FPGA applications
  • Embedded systems
  • Telerobotics
  • Sensors

Select Publications

  • O. Toker, H. Gumuskaya, C. Ulas, and B. T. Yılmaz, “Lightweight Wireless Protocol Based on IEEE 802.11 for Delay Sensitive Telerobotic Systems,” T. Journal of Electrical Engineering & Computer Sciences, Vol. 21, No. 5 (2013), pp. 1394-1410.
  • H. S. Efendioglu, T. Yıldırım, O. Toker, and K. Fidanboylu, “New statistical features for the design of fiber optic statistical mode sensors,” Optical Fiber Technology, vol. 21 (2013), pp. 279-284.
  • F. Camcı, C. Ozkurt, O. Toker, V. Atamuradova, “Sampling based State of Health estimation methodology for Li-ion batteries,” Journal of Power Sources, vol. 278 (2015), pp. 668-674.
  • B. Enez, E. Gur, B. Okur, O. Toker, A. Sisman, “A Low-cost Biomarker-based SAW-Biosensor Design for Early Detection of Prostate Cancer,” Biosensors 2016 (26th Anniversary World Congress on Biosensors), Gothenburg, Sweden (2016).
  • M. B. Alver, O. Toker, K. Fidanboylu, “Polar Format Statistical Image Processing Based Fiber Optic Pressure Sensors,” Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, San Diego, CA (2014), pp. 9217F-1 – 9217F-7.
  • K. Alemdar, S. Likoglu, K. Fidanboylu, O. Toker, “A Novel Periodic Macrobending Hetero-core Fiber Optic Sensor Embedded in Textile for Respiratory Movements Analysis,” Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration, San Diego, CA, (2014), pp. 90620D-1 – 90620D-11.
  • S. Likoglu, K. Alemdar, K. Fidanboylu, O. Toker, “A Novel Microbending Hetero-Core Fiber Optic Sensor for Force and Location Sensing with Applications to Home Security,” Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration, San Diego, CA, (2014), pp. 90620C-1 – 90620C-11.
  • C. Ozkurt, F. Camcı, B. Esat, O. Toker, “Cost Benefit Analysis of Individual Cell Control in Batteries for Electric Vehicles,” 23rd IEEE International Symposium on Industrial Electronics (ISIE), Istanbul, Turkey, (2014), pp. 1800-1804.
  • H. Efendioglu, T. Yıldırım, O. Toker, K. Fidanboylu, “Intelligent fiber-optic statistical mode sensors using novel features and artificial neural networks,” Proc. SPIE 8693, Smart Sensor Phenomena, Technology, Networks, and Systems Integration, San Diego, CA, (2013).
  • C. Ulas, O. Toker, and K. Fidanboylu, “Rotation Angle Estimation Algorithms for Textures and Their Implementations on Real Time Systems,” Machine Vision-Applications and Systems, Chapter 5. F. Solari, M. Chessa, and S. P. Sabatini eds., InTech, 2012, ISBN 978-953-307-902-8.

 

Session Details

This session will demonstrate that practical risk management is for everyone, regardless of a formal program. Attendees will learn actionable and simple strategies that are easy to implement, enabling them to start immediately by focusing on their top risks to build greater operational resilience and ensure the sustained success of their auxiliary enterprises.

Presenter Profile

Michelle Powell serves as the pioneering Risk Manager at Florida Polytechnic University, the state’s sole 100% STEM-dedicated institution. Having been with the university for nearly 11 years, Michelle transitioned from a leadership role in Admissions in October 2023 to establish and evolve the risk management function from the ground up. In this solo capacity, Michelle builds robust frameworks for our dynamic, young university, overseeing our insurance portfolio, consulting on third-party and event risks, and developing critical campus-wide training programs. Michelle has obtained the Committee of Sponsoring Organizations (COSO) Enterprise Risk Management certificate and the Associate in Risk Management (ARM) and Construction Risk and Insurance Specialist (CRIS) designations. Her distinct background in mathematics and engineering, combined with extensive higher education leadership, brings an analytical and strategic approach enhancing the institution’s resilience.