About Me

I am a doctoral student at prepatory phase with the CS @ Max Planck Doctoral Program, currently working under the supervision of Prof. Dr. Bernt Schiele.

Previously, I obtained my 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 Five AI (Bosch) Oxford Applied Research Center under the supervision of Dr. Kemal Oksuz and Dr. Puneet K. Dokania, at the University of Cambridge, Affective Intelligence and Robotics Lab under the supervision of Prof. Hatice Gunes and also at the METU Image Lab under the supervision of Prof. Dr. Sinan Kalkan and Prof. Emre Akbas.

Previously, I worked broadly on robustness, reliability and fairness of machine learning models. Nowadays, I am interested in foundation models, with a special focus on vision-language modeling.

Education

Saarland University

PhD - Computer Science

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

Max Planck Institute for Informatics

Doctoral Researcher

Foundation models, Vision-language modeling

Saarbruecken, Germany, Sep 2024 - Present

Five AI (Bosch)

Intern Research Scientist

Robustness and calibration of object detectors

Oxford, The UK, Sep 2023 - Jun 2024

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

• Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania. On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. Published at the European Conference on Computer Vision (ECCV 2024) as an oral presentation (top 2.3% of valid submissions). arXiv

• Kemal Öksüz, Selim Kuzucu, Tom Joy, Puneet K. Dokania. MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. Published at Transactions on Machine Learning Research (TMLR) arXiv, reviewed on OpenReview.

• Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan. Uncertainty as a Fairness Measure. Published at the ACM Journal of Artificial Intelligence Research (JAIR). available at the JAIR website

• 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). available at the IJCAI website

• 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). arXiv

• 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