S. Mohammad Mostafavi I.

👋 Hello! I’m an artificial intelligence researcher with over a decade of experience in computer vision and machine learning. Driven by a passion for tackling complex problems, my work spans diverse areas including diffusion models and GANs for image-to-image translation, medical AI with a focus on computational pathology, and event-based vision leveraging event cameras. You can explore my latest interests here, and/or keep reading for a concise overview about me.

Current Affiliations

(1) I am a postdoctoral researcher at Seoul National University (SNU) Machine Perception and Reasoning lab since 2024. I collaborate mostly on event-based vision, and image-to-image translation research involving diffusion and consistency models.

(2) In addition, I am affiliated with two institutes under South Korea’s Ministry of Science and ICT through the InnoCORE (Innovation + Core Researchers) program: Daegu Gyeongbuk Institute of Science and Technology (DGIST) Bio-Embodied Physical AI Research Group Computer vision lab, and Korea Advnaced Institute of Science and Technology (KAIST) Visual Intelligence lab.

Back to Academia after Industry I was a nomadic postdoc researcher position at Medical Imaging and Signal Processing Research Center MISP at the Medical University of Isfahan, Iran. This project is held by Iran’s National Elites Foundation INEF conducted via the Connect Platform. In addition to developing CV/ML data and deep learning project that are mainly focused on medical AI, I design and teach AI courses to medical students and professors to foster interdisciplinary research teams.

Industry Experience after PhD As a Senior Research Scientist and Team Leader at Lunit’s Oncology AI group, I’ve been at the forefront of driving progress. Our collaborative efforts have led to prestigious awards, impactful research papers, and even a patent. Though our team was titled model-centric, I further thrive on exploring data-centric, and engineering-centric approaches to advance the field.

Academic Journey During my Ph.D. research at GIST (and KAIST), I deeply explored many exciting applications of event cameras (event-based-vision). My work spanned areas such as image reconstruction, super-resolution, and stereo depth estimation. Recognized at top conferences, my findings have been published in esteemed journals.

My Mission My north star is enhancing business efficiency and ensuring sustainable growth in every project I undertake. I am passionate about contributing to AI for humanitarian causes, working to save lives, alleviate suffering, and uphold human dignity.

Feel free to explore my CV, GitHub and Google Scholar profiles for more details about my research and contributions.