Prof. Dr. Veniamin Morgenshtern

Maschinelles Lernen in der Bild- und Signalverarbeitung:
- Konvexe Optimierung und Sparsity
- Theorie und Anwendungen von Deep Learning
- Teilüberwachtes maschinelles Lernen
Anwendungen:
- Super-auflösende Mikroskopie und Radar
- Bilderkennung für autonom fahrende Autos
- Ultra-zuverlässige Bildverarbeitung für mikrofluidische medizinische Systeme

Contact:

Tailor-made advice thanks to artificial intelligence? 18. March 2020

Can artificial intelligence (AI) provide useful advice to students for their further academic careers? How can universities introduce AI-based support systems that are easily accepted and that support students’ diversity? The FAU research project ‘Individually recommended? – How AI-based advisory systems affect student diversity’ (ADVICE) is hoping to find some...

Approximately 3.5 million euros for three collaborative projects and one research network 11. March 2020

Good news for FAU and partners from science and industry: up to 3.5 million euros in funding from the Bavarian Research Foundation for three collaborative projects and one research network. FAU is the project coordinator in each instance. When presenting the official confirmation of funding for the four groundbreaking projects...

FAU Maps: A wealth of knowledge in AI and energy and climate 27. January 2020

The 21st century poses considerable challenges to mankind, and science has a major role to play in mastering them. Researchers at FAU also have a valuable contribution to make. The University has now launched two Maps focussing on its expertise in two areas which are particularly important for society: the...

Could artificial intelligence assist decision-making in clinical practice? 12. November 2019

Artificial intelligence (AI) is becoming more common in clinical practice. Increased computing power, greater volumes of data generated, and progress in machine learning promise new possibilities in clinical research and patient care. However these developments also raise certain ethical and legal questions. How will the role of doctors and patients...