Selim Kuzucu

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.

Bachelor of Science - Computer Engineering

High Honor Student with GPA: 3.66/4.00. Graduated in Top 5% (14/305) of the class

Intern Research Scientist

Robustness and calibration of object detectors

Oxford, The UK, Sept 2023 - Present

Undergraduate Researcher

Fairness through uncertainty, facial activation unit recognition through GNNs

Cambridge, The UK, Feb 2022 - Aug 2023

Undergraduate Researcher

Quantifying and mitigating class imbalance through uncertainty

Ankara, Turkey, Oct 2021 - Aug 2023

Software Engineering Intern

Gebze, Turkey, Jun 2021 - Dec 2021

Undergraduate Researcher

Optimal matching and motion planning in swarm robotics

Ankara, Turkey, Jul 2021 - Oct 2021

Undergraduate Researcher

Designing a new domain-specific language for calibrating RF devices

Ankara, Turkey, Feb 2021 - June 2021

Student Teaching Assistant

Python Programming for Engineers course

Ankara, Turkey, March 2021 - June 2021

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

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