Prospective

  • Ph.D.
    I am always interested in working with highly motivated PhD candidates who are eager to tackle open research problems in intelligent systems, at the intersection of computer vision and machine learning. A strong candidate is someone who combines solid technical foundations with intellectual curiosity, perseverance, and a genuine interest in advancing the state of the art. My research spans many topics; including, but not limited to, image quality assessment, computational photography, medical image analysis, graph neural networks and emerging areas like multimodal and generative AI, where many fundamental questions remain unsolved. Pursuing a PhD is a long-term commitment that requires independence, critical thinking, and resilience, but it is also an opportunity to make meaningful contributions to Science. If your interests align with these areas and you are driven to push boundaries, I would be glad to discuss potential research directions.

  • M.Sc.
    I have supervised students from a wide range of backgrounds, including Computer Vision, Bioengineering, Computer Science and Engineering, Electrical and Computer Engineering, Software Engineering, and Physics Engineering. I have learned that what matters most for successful supervision is not your specific degree program, but rather the research topic you wish to pursue and, above all, your scientific curiosity and willingness to explore challenging problems. The ideal student is a research-oriented person, potentially planning a career in research. If you are interested in the topic of intelligent systems and modern AI techniques (e.g., multimodal foundational models, graph neural networks, generative AI), I would be very happy to discuss potential thesis topics with you.

Current

If you are currently enrolled in one of my courses, please try to bring any questions you may have to class instead of sending individual emails. Keep in mind that I teach courses with a large number of students, so my inbox can become quite busy. Bringing your questions to class has several advantages: it opens the discussion to everyone, allows me to respond more quickly, and may address doubts that your colleagues share as well.

If you are currently being supervised by me, please note that I am generally not aware of your University deadlines – keeping track of them is your responsibility. During our meetings, you should explicitly inform me of any time-sensitive matters. Additionally, please make sure all our meetings are scheduled via a digital calendar invite, as to avoid any oversights.