Welcome to Systems Laboratory
We study and create intelligence. Both artificial and natural manifestations of intelligence are the focus of our research. That’s why our lab is highly interdisciplinary, drawing ideas from control theory, physics, mathematics, game theory, machine learning, and statistics. We specialize in the modeling and control of cyber-physical human systems, where the human, the physical system, and enabling cyber-technologies are interconnected through multifarious interactions to accomplish a certain goal. Our engineering applications cover aerospace, automotive and robotics fields. Click here to reach the introduction article written by Yildiray Yildiz for the “Cyber-Physical Human Systems” special issue of IEEE Control Systems journal.
In Systems Lab, we are developing theories and algorithms to understand and build complex intelligent systems. If you want to study and contribute to the fields of autonomy, human behavior, adaptation, and interaction between natural and artificial intelligence, come and be a part of us. If you always feel like a beginner, like to think out of the box, and don’t like conventional approaches to problems, you are welcome here. Just send a short email to Yildiray Yildiz (email@example.com) and tell us why you want to be a part of us. Undergraduates, graduates, and students from all departments and all universities are welcome. (Please attach a CV to your email.)
When we are not doing research, we prepare math questions 🙂 Our new lab member Seymanur Al’s math problem is published at Crux Mathematicorum (CRUX), which is an internationally respected source of unique and challenging mathematical problems published by the Canadian Mathematical Society. CRUX is “the best problem solving journal in the world”! If you are up to the challenge, you can reach the problem here. (problem 4641)
28 November 2021
Our paper “A 3D Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts” is accepted for publication in Transportation Research Part C: Emerging Technologies.
28 September 2021
We are awarded TÜBİTAK grant to conduct research on “Development of Supervised Cognitive Control Algorithms”.
We will be developing theories and methods to enhance automation by incorporating human cognitive skills. There will be lots of fun experiments too.
5 September 2021
Our new graduate student member Emirhan İnanç, and his team “FEMRE” got to the finals in TEKNOFEST (https://www.teknofest.org/en/), to which approximately 40,000 teams applied this year in total. The team competes in the “Health and First Aid” category of the “Technology for Humanity” competition. With the designed compact finger exoskeleton system, it is aimed to improve the rehabilitation process of stroke patients. The project is conducted at Emirhan’s undergraduate school, Izmir Institute of Technology.
28 August 2021
Our first PhD graduate Shahab Tohidi defended his thesis on Tuesday. He said that the defense day was the best day of his PhD life 🙂 We are hoping that he thinks that way because of our celebration at Nusr-et 🙂
19 August 2021
Congratulations! Systems Lab member Cevahir Köprülü received an offer from the University of Texas at Austin to pursue his Ph.D. in the Decision, Information & Communications Engineering track of the Department of Electrical and Computer Engineering.
31 May 2021
Systems Lab members continue to study and create intelligence: Shahab Tohidi, Mert Albaba and Cevahir Koprulu will present their recent work covering control theory, machine learning and game theory at 2021 IEEE Conference on Control Technology and Applications.
Shahab will talk about designing robust and adaptive controllers for uncertain systems with redundant actuators.
Mert will present a model of 3D airspaces where unmanned and manned aircraft coexist.
Cevahir will show how to use previously trained agent policies as actions in reinforcement learning, in the context of hierarchical game theory.
We will announce the seminar schedule once we hear from the conference organizers.
25 April 2021
Berat Mert Albaba’s paper “Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory” is accepted for publication in IEEE Transactions on Control Systems Technology.