Innovation Science and Technology Building, Room 2088, 4700 Research Way, Lakeland, FL 33805-8531
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
Social Media Accounts/Websites *
Google Scholar Profile
Dr. Onur Toker is an associate professor of electrical and computer engineering at Florida Poly. After completing his doctorate, he worked as a graduate researcher at Technical University of Eindhoven (The Netherlands), and University of California (Riverside).
Later, he worked as an assistant professor, and then as an associate professor at College of Computer Sciences and Engineering, K.F.U.P.M., (Kingdom of Saudi Arabia). During this time, he also worked as a consultant for Teknobil, (Istanbul, Turkey).
In 2004, he joined the Department of Electrical and Electronics Engineering at Fatih University, (Istanbul, Turkey) and was promoted to full professor rank in 2012. While in Istanbul Turkey, he held consulting positions for Vatan Gida, and ACC Makina.
In 2016, Toker moved back to the United States and first 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 its 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.
- Hardware acceleration
- FPGA applications
- Embedded systems
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
- 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.
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