Tufan Kumbasar

Prof. Dr. Tufan Kumbasar is a faculty member at the Department of Control and Automation Engineering, Istanbul Technical University, where he has served as a Professor since 2024. He previously held roles as Associate Professor (2019-2024), Vice Dean (2017-2020), and Guest Professor at the University of Alaska Fairbanks (2016). His research spans multiple domains in computational intelligence and control systems.

• PhD in Control and Automation Engineering (ITU, 2012)
• Postdoctoral Research (University of Essex, 2012)
• Master's and Bachelor's in Control and Automation Engineering (ITU, 2008 and 2006)

His work focuses on Type-2 Fuzzy Logic Systems, Deep Learning Integration, and Uncertainty Quantification with applications in Drone Swarms, Autonomous Vehicles, and Medical Robotics. Recent publications highlight hybrid control methodologies combining conventional and fuzzy logic, AI-driven system identification, and real-world implementations of learning frameworks.

• 2023 BAGEP Science Academy Young Academician Achievement Award
• 2022 IEEE Türkiye Outstanding Young Scientist Award
• 2021 Parlar Foundation Research Encouragement Award
• Best Publication Awards (2015, 2018)

As a Principal Investigator, he leads projects like KAYRA Search and Rescue Robot and UMAY Search and Rescue Robot, emphasizing Deep Learning-based Type-2 Fuzzy Systems and Reliable Uncertainty Quantification. His teaching innovations include transforming Feedback Control Systems into MATLAB environments via Deep Learning Pipelines.