About
Summary
Currently, I am an Instructor at the Department of Computer Engineering, Middle East Technical University North Cyprus Campus. My PhD is in Computer Science form the University of Camerino, Italy 2022. I received MSc. in Computer Science from the University of Maryland, College Park 1998, and MSc. in Sustainable Environment and Energy Systems from Middle East Technical University, North Cyprus Campus, in 2018.
In my PhD thesis, I addressed the issue of limited onboard energy of Electric Vehicles. Specifically, I proposed multi-party multi-objective (energy, waiting time) optimization frameworks (coverage/pathfinding) in which novel geometry-based heuristics are utilized for drone-based operations. In principle, the proposed heuristics either exploit the existing geometric configurations of the entities or introduce geometric regularities for their configurations. The proposed frameworks are benchmarked in case studies like disaster region coverage for communication and pathfinding for sea rescue operations. The disaster region coverage problem is modeled as the Geometric Set Cover problem. An approximate solution is searched with Evolutionary Algorithms (Genetic Algorithm, Simulated Annealing, Differential Evolutionary Optimization). The rescue research involved Graph-Theoretic modeling, Probabilistic path analysis, and Pathfinding Heuristics. For the Pathfinding Heuristics, a combination of custom TSP and custom Shortest Path type heuristics were proposed. The classical Shortest Path algorithm is augmented with dynamic constraint edges. Square and triangular charging station grids are compared in the benchmarks. A novel concave hull-based TSP approximation heuristic is also proposed as a part of the Pathfinding Heuristic algorithm. The algorithmic aspects and the Graph Theory related heuristics proposed in the thesis can be applied to other network-related applications. The thesis will have practical impacts on Sustainability, Smart Cities, IoT, Industry 4.0, and the effective use of Electric Vehicles. It will also have theoretical impacts on Set Cover Problem, TSP, Vehicular Routing Problem, and Geometry-based optimizations.
Poster of my PhD thesis: https://github.com/kk-1/kk-1.github.io/raw/master/doc/kemal-kemal-poster.pdf
Thesis : https://kk-1.github.io/doc/kemal-phd-cycle-XXXIV-thesis.pdf
Positions
PhD Student Mar 2019 - May 2022
Computer Science, University of Camerino
Worked as research assistant
My PhD thesis title is "Geometry-Based Optimization Heuristics for Region Coverage
and Pathfinding in Drone-Based Operations"
Teaching Assistant Feb 2016 - Feb 2019
Computer Engineering, Middle East Technical University, North Cyprus Campus
Worked as a teaching assistant and studied for MSc. in Dept. of
Sustainable Environment and Energy Systems.
Education
University of Camerino, Italy 2019 - 2022
Field of study: Computer Science
Degree: PhD
My PhD thesis title is "Geometry-Based Optimization Heuristics for Region Coverage
and Pathfinding in Drone-Based Operations"
Middle East Technical University, North Cyprus Campus, Cyprus 2016 - 2019
Field of study: Sustainable Environment and Energy Systems
Degree: MSc.
In my MSc thesis, I addressed the problem of small energy storage in the sensors.
To improve the lifetime of the wireless sensor network, I proposed a novel energy-efficient routing
algorithm. In addition to that, I also collaborated with the Electrical Engineering Department on the
development of a fractal directional antenna for further energy savings.
University of Maryland, College Park, MD, USA 1996 - 1998
Field of study: Computer Science
Degree: MSc.
I received my MSc "without thesis" option.
Skills
Analytical reasoning: I am good at seeing the parallelism between diverse topics and finding
research gaps. I can classify/categorize existing approaches into an organized literature review.
Strong problem-solving attitude: My multidisciplinary background and creative nature gives
me flexibility in proposing novel solutions.
Strong communication and English language skills (written and spoken): I have about
8 years (5 as instructor + 3 as TA) of teaching experience at the institutions where English was
the language of education. I stayed about 5 years in the USA.
Teamwork: I have many experiences in various collaborative research projects and faculty board
meetings.
The ability to properly report, organize and publish research data: I have publication
experiences in various Computer Science fields like Biometrics, Networks, and Heuristics.
Passionate hobbyist for robotics and IoT projects with Arduino, RaspberryPi, DJI-Tello, and
JetsonNano.
Developed prototype webcam based human pose detection software (Python, OpenCV) as part of
the collaborative project (Urrà: Robot Usability and Process
Reconfigurability https://www.i-labs.it/en/project/urra) with the Università Politecnica delle Marche.
Basic electronics, soldering, building breadboard prototypes. Practical experience with various
sensors (ultrasonic, PIR, etc...) types. Practical experience with step motors, servos (Developed
Arduino sketch for running multiple servos at the same time for "smooth" robot arm
movements: https://github.com/kk-1/robot-arm-demos.
Linux, R, OpenCV, Python, LaTeX
LinkedIn Skill Assessment badges for:
– "R Programming Language", 2022
– "Python Programming Language", 2022
– "Machine Learning", 2022
Datacamp Statement of Accomplishment for:
– "Data Science R Basics" , 2022
– "Spatial Statistics in R", 2022
– "Network Analysis with R Track", 2022
Advance level (not certified) of Italian
Collaboration with Electrical Engineering Department for developing a fractal antenna as a part
of my MSc. thesis titled "Energy Efficient Routing With Directional Antennas In Wireless Sensor
Networks"(https://github.com/kk-1/metu-msc-thesis)
CV
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