CV
Education
- B.S. in in Electrical and Electronics Engineering, Karadeniz Technical University, Trabzon, Turkey, 2005
- M.S. in Electrical and Computer Engineering, Northeastern University, Boston, MA, 2010
- Ph.D in Electrical Engineering, The Pennsylvania State University, University Park, PA, 2015
- Minor Ph.D in Industrial and Manufacturing Engineering (Convex Optimization), The Pennsylvania State University, University Park, PA, 2015
- MOOC Certificates
- Coursera: Fundamentals of Scalable Data Science by IBM- May 2019
- Coursera: Neural Networks and Deep Learning by deeplearning.ai - June 2019
Work experience
- 04/2024 to Present: Director of Control System Engineering, SharkNinja
- Built and lead the Control Systems Engineering team, growing from initial hire to a cross-functional team responsible for intelligent systems across 20+ product lines
- Drive technical strategy for embedded control systems, algorithm development, and sensor fusion across coffee machines, beverage carbonation systems, heated appliances, and frozen treat makers
- Mentor and develop junior engineers and co-ops, fostering technical excellence and innovation
- Collaborate with hardware, embedded software, product, and manufacturing teams to deliver production-ready control solutions
- Inventor on 12+ patents related to intelligent appliance features, thermal control, and user experience optimization
- 04/2023 to 04/2024: Principal Systems Engineer, SharkNinja
- 01/2022 to 04/2023 Senior Systems Engineer, SharkNinja
- Conceptualized/Designed/Implemented various signal processing/sensing tools and controllers for Ninja Heated products
- Successfully developed control systems (e.g., cascade temperature control, flow control) and algorithms (e.g., failure detection, altitude calibration, low pass filter) for all features of Ninja Coffee Machines in the market. From prototype development to mass production, algorithms were developed (in C++, Arduino, and Python) and implemented in the final product
- Owned/Managed the prototype and testing tools development. A Python application and an R-pi/Arduino apparatus were developed to speed up the testing process
- 08/2019 to Present: Co-founder, Ocean Dynamex
- Developing predictive workflow systems and forecasting software for maritime industry
- Created novel IMSE algorithm and ensemble learning forecasting methods with demonstrated performance improvements
- 08/2018 to 12/2021: Assistant Professor, SUNY Polytechnic Institute
- Led mathematical modeling, MPC design, and IoT research projects
- Developed low-cost IoT-based pavement monitoring system using R-Pi and AWS
- Designed artificial pancreas MPC for Type-2 diabetes with real-time behavioral intervention
- Created optimization-based forecasting methods validated on multiple datasets
- 12/2016 to 08/2018: Research Engineer, Nanyang Technological University
- Developed and deployed distributed MPC solution for HVAC systems in commercial building
- Achieved 12-13% energy savings through IoT-based control system (MATLAB/Python/R-Pi)
- Implemented real-time room temperature model learning for adaptive MPC
- 08/2015 to 12/2016: Postdoctoral Researcher, The Methodology Center – Penn State University
- Developed robust MPC-based intervention system for smoking cessation studies
- Designed algorithms for behavioral treatment optimization using data-driven approaches
- 09/2010 to 12/2015: Ph.D. Research Assistant, Pennsylvania State University
- Researched system identification and robust control for behavioral health applications
- Developed mathematical models and control algorithms for smoking craving intervention
- 09/2008 to 08/2010: M.S. Research Assistant, Northeastern University
- Developed UAV control system using computer vision and PID for autonomous target tracking
Technical Skills
Core Expertise: Model Predictive Control (MPC), System Identification, Control Systems Engineering, Mechatronics, Signal Processing, Time-Series Analysis, Optimization, IoT in Control, Building Automation
Programming: Python, MATLAB, C++, Simulink, Arduino, Energy Plus
Optimization Tools: CVX, YALMIP, CPLEX, Mosek, Gurobi
Leadership & Management
- Built and scaled Control Systems Engineering team from ground up
- Lead cross-functional teams (hardware, embedded software, product, manufacturing)
- Mentor junior engineers and co-ops on control systems and algorithm development
- Manage multiple concurrent product development projects from concept to mass production
- Present technical concepts to engineering and executive audiences
Patents (Granted)
Patents (Under Review)
Publications
Lagoa, C. M., Bekiroglu, K., Lanza, S. T., & Murphy, S. A. (2014). Designing adaptive intensive interventions using methods from engineering. Journal of Consulting and Clinical Psychology, 82(5), 868–878. https://doi.org/10.1037/a0037736
Bekiroglu, K., Sznaier, M., Lagoa, C., & Shafai, B. (2016). Computer vision-based control of an autonomous blimp. Turkish Journal of Electrical Engineering and Computer Sciences, 24(5), 4015-4026.
Bekiroglu, K., Lagoa, C., Murphy, S. A., & Lanza, S. T. (2016). Control engineering methods for the design of robust behavioral treatments. IEEE Transactions on Control Systems Technology, 25(3), 979-990.
Yılmaz, B., Bekiroglu, K., Lagoa, C., & Sznaier, M. (2017). A randomized algorithm for parsimonious model identification. IEEE Transactions on Automatic Control, 63(2), 532-539.
Boz, I., Bekiroglu, K., Solaimanian, M., Tavassoti-Kheiry, P., & Lagoa, C. (2017). Validation of model order assumption and noise reduction method for the impact resonance testing of asphalt concrete. Journal of Nondestructive Evaluation, 36(3), 1-13.
Bekiroglu, K., Russell, M. A., Lagoa, C. M., Lanza, S. T., & Piper, M. E. (2017). Evaluating the effect of smoking cessation treatment on a complex dynamical system. Drug and alcohol dependence, 180, 215-222.
Bekiroglu, K., Duru, O., Gulay, E., Su, R., & Lagoa, C. (2018). Predictive analytics of crude oil prices by utilizing the intelligent model search engine. Applied Energy, 228, 2387-2397.
Bekiroglu, K., Ayazoglu, M., Lagoa, C., & Sznaier, M. (2018). Hankel matrix rank as indicator of ghost in bearing-only tracking. IEEE transactions on aerospace and electronic systems, 54(6), 2713-2723.
Png, E., Srinivasan, S., Bekiroglu, K., Chaoyang, J., Su, R., & Poolla, K. (2019). An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings. Applied Energy, 239, 408-424.
Visalini, K., Subathra, B., Srinivasan, S., Palmieri, G., Bekiroglu, K., & Thiyaku, S. (2019). Sensor placement algorithm with range constraints for precision agriculture. IEEE Aerospace and Electronic Systems Magazine, 34(6), 4-15.
Duru, O., Gulay, E., & Bekiroglu, K. (2021). Predictability of the physical shipping market by freight derivatives. IEEE Transactions on Engineering Management.
Bekiroglu, K., Russell, M. A., Lagoa, C., Su, R., Sznaier, M., Lanza, S. T., & Odgers, C. L. (2021). Continuous-time model identification: application on a behavioural (miLife) study. International Journal of Control, 94(9), 2318-2329.
Bekiroglu, K., Srinivasan, S., Png, E., Su, R., & Lagoa, C. (2020). Recursive approximation of complex behaviours with IoT-data imperfections. IEEE/CAA Journal of Automatica Sinica, 7(3), 656-667.
Ramaraj, R., Dharmaraj, G., Srinivasan, S., Balasubramanian, S., Periyasamy, M., & Bekiroglu, K. (2020). Real‐time extremum seeking controller for brushless DC hub motors in electric vehicles. IET Electric Power Applications, 14(12), 2438-2449.
Sairam, S., Seshadhri, S., Marafioti, G., Srinivasan, S., Mathisen, G., & Bekiroglu, K. (2022). Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes. Renewable Energy, 185, 1425-1440.
Bekiroglu, K., Gulay, E., & Duru, O. (2022). A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast. Knowledge-Based Systems, 239, 107990.
S. Keshary, P. T, K. Bekiroglu, S. Seshadhri and S. Srinivasan (2022). Multimedia Data-Based Artificial Pancreas for Type 2 Diabetes. IEEE MultiMedia, vol. 29, no. 1, pp. 18-27, 1 Jan.-March 2022.
Thamotharan, P.; Srinivasan, S.; Kesavadev, J.; Krishnan, G.; Mohan, V.; Seshadhri, S.; Bekiroglu, K.; Toffanin, C. Human Digital Twin for Personalized Elderly Type 2 Diabetes Management. J. Clin. Med. 2023, 12, 2094.
Padmapritha, T., Korkut Bekiroglu, Subathra Seshadhri, and Seshadhri Srinivasan. "Trustworthy AI-Based Personalized Insulin Recommender for Elderly People Who Have Type-2 Diabetes." Computer 57, no. 3 (2024): 35-45.
Emrah Gulay, Omer Burak Akgun, Korkut Bekiroglu, Okan Duru. "Predictive performance of denoising algorithms in S&P 500 and Bitcoin returns." Expert Systems with Applications 260 (2025): 125400.
Conference Proceedings
August 28, 2013
Conference proceedings at 2013 IEEE International Conference on Control Applications (CCA), Hyderabad, India
December 10, 2013
Conference proceedings at 2018 Annual American Control Conference (ACC), Firenze, Italy
June 24, 2014
Conference proceedings at 2014 European Control Conference (ECC), Strasbourg, France
December 15, 2015
Conference proceedings at 2015 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan
July 06, 2016
Conference proceedings at 2018 Annual American Control Conference (ACC), Boston, MA, USA
September 19, 2016
Conference proceedings at 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, Argentina
July 01, 2017
Conference proceedings at 20th IFAC World Congres, Toulouse, France
December 12, 2017
Conference proceedings at 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, VIC, Australia
June 12, 2018
Conference proceedings at 2018 IEEE 14th International Conference on Control and Automation (ICCA), Anchorage, AK, USA
June 27, 2018
Conference proceedings at 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA
August 21, 2018
Conference proceedings at 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark
November 18, 2018
Conference proceedings at 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore
May 29, 2019
Conference proceedings at 2019 IEEE 17th International Conference on Software Engineering Research, Management and Applications (SERA), Honolulu, HI, USA
June 10, 2019
Conference proceedings at 2019 IEEE Conference on Communications and Network Security (CNS), Washington, DC, USA
June 25, 2019
Conference proceedings at 2019 18th European Control Conference (ECC), Naples, Italy
March 23, 2020
Conference proceedings at 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Austin, TX, USA
July 01, 2020
Conference proceedings at 2020 American Control Conference (ACC), Denver, CO, USA
July 11, 2020
Conference proceedings at 1st IFAC World Congress, 2020, (IFAC), Berlin, Germany
December 13, 2020
Conference proceedings at 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Shenzhen, China
September 01, 2021
Talk at SUNY Poly Academic/Research Symposium 2021, Utica NY, USA
October 01, 2021
Talk at Heavy Vehicle Simulator International Alliance (HVSIA) Meeting 2021, Seattle, Washington
October 01, 2021
Conference proceedings at 2021 International Symposium on Networks, Computers and Communications (ISNCC), Dubai, United Arab Emirates
December 06, 2021
Conference proceedings at 2021 IEEE International Conferences on Internet of Things (iThings) , Melbourne, Australia
July 27, 2022
Conference proceedings at 2022 IEEE 17th International Conference on Control & Automation (ICCA), Naples, Italy
November 01, 2022
Conference proceedings at The 9th International Electronic Conference on Sensors and Applications, Online Proceeding
Teaching
Academic Service & Leadership (SUNY Poly 2018-2021)
- Faculty Senator, Research & Scholarship Committee Member
- Faculty Portfolio Review Committee, Technology Committee Member
- TAP (Tau Alpha Pi) Faculty Advisor, Undergraduate Students Advisor
- ABET Report Preparation, Mechatronic Course Development Committee
- Search Committee Member, Student Project Showcase Judge