Biography

Gokhan Alcan received his B.Sc., M.Sc. and Ph.D. degree in Mechatronics Engineering from Sabanci University, Istanbul, Turkey in 2013, 2015 and 2019, respectively. Since then, he has been a postdoctoral researcher in the Faculty of Engineering and Natural Sciences, Sabanci University. He is a member of Control, Vision and Robotics (CVR) Research Group of Sabanci University which is led by Prof. Dr. Mustafa Unel. His research interests include system identification, machine learning, control theory and its applications, and robotics.

Research Interests

  • Modeling and Control: System Identification, Control Theory and Applications
  • Machine Learning: Deep Learning, Reinforcement Learning
  • Computer Vision: 2D/3D Shape Modeling, Detection, Tracking, Recognition
  • Robotics: Autonomous Ground and Aerial Robots

Education

  • 20192015

    Ph.D. in Mechatronics Engineering, Sabanci University

    İstanbul, Turkey | GPA: 3.67 / 4.00
    Ph.D. Thesis: Data Driven Nonlinear Dynamic Models for Predicting Heavy-Duty Diesel Engine Torque and Combustion Emissions

  • 20152013

    M.Sc. Mechatronics Engineering, Sabanci University

    İstanbul, Turkey | GPA: 4.00 / 4.00
    Master Thesis: Novel Vision Based Estimation Techniques for the Analysis of Cavitation Bubbles

  • 20132008

    B.Sc. Mechatronics Engineering, Sabanci University

    İstanbul, Turkey | GPA: 3.45 / 4.00

  • 20132008

    Math Minor Honor Program, Sabanci University

    İstanbul, Turkey | GPA: 3.67 / 4.00

  • 20082004

    Çapa Anatolian Teacher’s Training High School

    Fatih, Turkey | Grade: 92.82 / 100

Certificates

  • November
    2019

    Prediction and Control with Function Approximation
    as a part of Reinforcement Learning Specialization
    by University of Alberta on Coursera.
    Certificate Credential ID: 8KZNDB2U85UM

  • November
    2019

    Sample-based Learning Methods
    as a part of Reinforcement Learning Specialization
    by University of Alberta on Coursera.
    Certificate Credential ID: 8M5G4BQ5YWGN

  • October
    2019

    Fundamentals of Reinforcement Learning
    as a part of Reinforcement Learning Specialization
    by University of Alberta on Coursera.
    Certificate Credential ID: DHUZNYWH44DD

Reviewer Invitations

  •   

    Conferences

  •    IFAC International Symposium on Advances in Automotive Control
  •    IFAC International Symposium on System Identificaiton

Languages

Turkish (native)
English (Advanced)
German (Elementary)

Honors and Awards

All models are wrong, but some models are useful. George Box