About Me
I am an intern research scientist at Five AI (Bosch) Oxford Applied Research Center supervised by Dr. Kemal Oksuz and Dr. Puneet K. Dokania.
Previously, I obtained by BS in Computer Engineering from Middle East Technical University where I was advised by Prof. Dr. Sinan Kalkan.
I was also lucky enough to be an intern at University of Cambridge, Affective Intelligence and Robotics Lab under the supervision of Prof. Hatice Gunes and also METU Image Lab under the supervision of Prof. Dr. Sinan Kalkan and Prof. Emre Akbas. I am broadly interested in visual perception with a further focus on robustness, uncertainty and fairness.
Education
Middle East Technical University
Bachelor of Science - Computer Engineering
High Honor Student with GPA: 3.66/4.00. Graduated in Top 5% (14/305) of the class
Experience
Five AI (Bosch)
Intern Research Scientist
Robustness and calibration of object detectors
Oxford, The UK, Sept 2023 - Present
University of Cambridge, Affective Intelligence and Robotics Lab
Undergraduate Researcher
Fairness through uncertainty, facial activation unit recognition through GNNs
Cambridge, The UK, Feb 2022 - Aug 2023
METU Image Lab
Undergraduate Researcher
Quantifying and mitigating class imbalance through uncertainty
Ankara, Turkey, Oct 2021 - Aug 2023
General Electric Digital
Software Engineering Intern
Gebze, Turkey, Jun 2021 - Dec 2021
KOVAN Robotics Lab
Undergraduate Researcher
Optimal matching and motion planning in swarm robotics
Ankara, Turkey, Jul 2021 - Oct 2021
The Scientific and Technological Research Council of Turkey
Undergraduate Researcher
Designing a new domain-specific language for calibrating RF devices
Ankara, Turkey, Feb 2021 - June 2021
Middle East Technical University, Computer Engineering Department
Student Teaching Assistant
Python Programming for Engineers course
Ankara, Turkey, March 2021 - June 2021
Publications
Kemal Öksüz, Selim Kuzucu, Tom Joy, Puneet K. Dokania. MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. Preprint available at arXiv
Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes. Towards Gender Fairness for Mental Health Prediction. Published at IJCAI 2023 AI and Social Good Track (Aug'2023).
Zeynep Sonat Baltacı, Kemal Öksüz, Selim Kuzucu, Kıvanç Tezören, Berkin Kerim Konar, Alpay Özkan, Emre Akbaş, Sinan Kalkan. A New Measure for Quantifying and Mitigating Class Imbalance Through Uncertainty Quantification. Under review at IEEE Computational Intelligence Magazine (Jan'2023).
Siyang Song, Yuxing Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijian Guo, Weicheng Xie, Linlin Shen, Hatice Gunes. Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features. Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (Nov'2022). Available at arXiv
Honors, Awards and Scores
June, 2022 First place in Guided Research Symposium at METU Computer Engineering Department out of 30 different undergraduate research projects with my work in developing a novel one-pass uncertainty quantification method
August, 2021 Scored 118/120 in TOEFL (R: 30, L: 29, S: 30, W: 29)
September, 2019 Earned METU Development Foundation’s Academic Merit Scholarship for ranking in top 0.01% (270th out of 2.5 million takers) in Turkish University Entrance Exam
March, 2018 Won FIRST Robotics Competition Shanghai Regionals Rookie Allstar Award out of about 50 other rookie teams as the founder team captain of Turkish province of Aydin’s first competitive robotics team