Ayce Idil Aytekin

I am a PhD student at Max Planck Institute for Informatics, and I am currently working in Visual Computing and Artificial Intelligence Department.

My focus is on 3D human pose estimation and 3D scene understanding. I am particularly interested in leveraging physics to excel in these domains. Previously, I worked under the supervision of Jan Eric Lenssen on diffusion model efficiency in Computer Vision and Machine Learning Department at MPII.

Email  /  Google Scholar  /  Github

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PhD student (preparatory phase), MPII
October 2022 - present
PhD student (preparatory phase), Saarland University
October 2022 - present
BSc Electrical and Electronics Engineering, Bilkent University
Sept 2018 - June 2022
Ranked 3rd among 2022 graduates with GPA 3.96/4.00
Work experience
Undergraduate researcher working on COVID-19 detection and multi-contrast MRI synthesis
Dec 2020 - Sep 2022
Mentor: Prof Tolga Cukur
Digital design intern
Jul 2021 - Aug 2021
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
Ayce Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine U Saritas, Ulas Bagci, Haydar Celik, Tolga Cukur,
IEEE Journal of Biomedical and Health Informatics , 2023
project page
Detecting COVID-19 from respiratory sound recordings with transformers
Ayce Idil Aytekin, Onat Dalmaz, Haydar Ankishan, Emine U. Saritas, Ulas Bagci, Tolga Cukur, Haydar Celik,
Proc. SPIE Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Multi-Contrast MRI Synthesis with Channel-Exchanging-Network
Onat Dalmaz, Ayce Idil Aytekin, Salman Ul Hassan Dar, Aykut Erdem, Erkut Erdem, Tolga Cukur,
30th Signal Processing and Communications Applications Conference (SIU), 2022

Website template borrowed from: Jon Barron.