Ismail Kisa

Email
ismail.kisa@t-online.de
Birthday
October 26, 1997
Location

Stuttgart, Germany

About me

Welcome to my personal website! I'm excited to share my journey with you as a Technology Enthusiast with focus on AI, Robotics, and Databases. I completed my B.Sc. and M.Sc. degrees in Computer Science at the University of Tübingen.

During my academic journey, I had the incredible opportunity to collaborate with Bosch on my Master's thesis, delving into the fascinating realm of autonomous driving. This experience led to the publication of a research paper, marking a significant milestone in my career. One of my proudest achievements has been developing a robotic arm capable of playing Nine Men's Morris, combining the fields of robotics, AI, and computer vision in an exciting project.

I have a passion for learning and mastering of new things. As a fast learner, I am constantly seeking opportunities to expand my knowledge and skills. Outside of work, I love creating personal projects and playing soccer. I'm always up for trying new things and exploring. Also, I really enjoy helping kids learn as a volunteer tutor. It's amazing to see them discover new things!

Feel free to check out my recent projects and don't hesitate to get in touch with me anytime.

Resume

Education

M.Sc. Computer Science,

University of Tübingen.
04/2021 — 04/2023
Specialization: Robotics, AI and Databases.
B.Sc. Computer Science,

University of Tübingen.
10/2017 — 02/2021
Specialization: Numeric. Minor: Physics.
Business High School,

Jakob Friedrich Schöllkopfschule.
09/2014 — 06/2017
Specialization: Physics and Computer Science (Java).

Experience

Internship (Data Analyst),

Turkish Aerospace Industries.
08/2023 — 09/2023
Department: Flight Control Software. Tasks: Generation and analysis of flight data using machine learning methods; summary of the analysis results.
Internship & Master Thesis,

Robert Bosch GmbH.
10/2022 — 05/2023
Department: Advanced Autonomous Systems (AAS). Tasks: Development of a deep neural network for behaviour prediction in autonomous driving; publication of the results in a research article.
Internship (Development Project),

University of Tübingen.
04/2022 — 08/2022
Field: Mobile robotics. Tasks: Development of an autonomously driving robot; implementation of algorithms for mapping, obstacle avoidance, path planning and path following; performing tests in real scenarios.
Volunteer Tutor,

Kirchheim/Teck.
since 12/2021
Tutoring and counseling of a group consisting of 15 elementary school students.
Research Assistant,

University of Tübingen.
04/2021 — 04/2022
Projects and software development related to robot arm control. Tasks: Increase the modularity, efficiency and flexibility of the software architecture; optimise the neural networks for object detection; create a GUI; optimise the game AI.
Teaching Assistant,

University of Tübingen.
04/2020 — 04/2021
Tutoring the ''Advanced SQL'' and ''Functional Programming in Scheme'' lectures.

Publication

Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell.

2023
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. arXiv preprint arXiv:2306.00605

My skills

Deep Learning
80%
Data analysis
70%
Software development
80%
Teamplayer
80%

Download Resume as PDF

Projects

JobTrack: Track and Organize Job Applications
2024
JobTrack changes the process of tracking and organizing job applications, offering a clear overview of all your applications. Easily add or update applications with intuitive features. Moreover, JobTrack presents valuable statistics through graphical plots, giving users actionable insights.
FasterAStar: A GUI Application for Shortest Path Algorithms
2023
FasterAStar presents a graphical user interface (GUI) application designed to explore shortest path algorithms, crafted using C++ and Qt. Significantly, the focus is on the implementation of the A* algorithm, distinguished by its remarkable computational speed in pathfinding.
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction
2023
Predicting the future motion of observed vehicles is a crucial enabler for safe autonomous driving. This paper presents a general wrapper that leverages a Frenet representation of the scene and that can be applied to SotA models without changing their architectur.
Robotarm playing Nine Men's Morris
2021
This complex project involves developing a robot arm capable of playing Nine Men's Morris against a human using only RGB-D frames from a camera. It integrates robotics, AI, and computer vision, merging multiple fields of expertise.
ARUNKI
2020
Dive into ARUNKI, a dynamic 2D jump-and-run game featuring the beloved character Jerry from Tom & Jerry! You can now help Jerry to escape directly on the web!
Property Management Software
2019
The Property Management software automates the tracking of meter readings and finances. The user-friendly UI simplifies usage, while the program automatically generates year-end reports. The software was crafted using Python and SQL.