Our Project Learn to Unlearn: Towards Responsible AI (TRAI) received funding (2.95 million DKK) from Novo Nordisk Fonden.

Vinay Gogineni

I am an Assistant Professor at the Applied Artificial Intelligence and Data Science Unit, The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark (since July 2023).

I conduct research in Artificial Intelligence (AI), with a special focus in Deep Learning, Federated Learning (a.k.a Decentralized Machine Learning), Graph Machine Learning, and Machine Unlearning. My work aims to develop novel AI algorithms that enhance performance, protect privacy, and promote fairness. I apply these algorithms in Healthcare, the Industrial Internet-of-Things (IIoT), and Fusion Energy.

Aside from fundamental research in AI, I have also been developing AI-driven diagnostic systems for Colorectal Cancer, Cardio Calcification, Cervical Cancer, and Dementia, with the goal of improving patient management through more accurate and timely diagnostics.

I am an IEEE Senior Member and a member of the editorial board for the IEEE Sensors Journal. I was a recipient of the ERCIM Alain Bensoussan Fellowship in 2019 and the Best Paper Award at APSIPA ASC-2021, Tokyo, Japan. I was also a recipient of the HC Ørsted Research Talent Award, 2024, Denmark.

Collaboration Opportunities

I am open to collaborations with both academia and industry. If you are interested in partnering on research projects or innovative AI applications, please feel free to reach out to me.

For postdoc candidates with a background in AI or Large-Scale Optimization, I encourage you to review our recent work. If it aligns with your interests and you wish to join our team, please send me your CV. While fully funded positions may not always be available, I (our unit) will support your fellowship applications to Danish and European funding agencies.

Interested Ph.D. students are also welcome to enquire about applying for funding. Master and Bachelor students are welcome to inquire about opportunities with me.