Jacek Cyranka

Assistant professor in Computer Science, University of Warsaw, Poland

email: jcyranka (you know what) gmail
skype: jdzako

I am constantly looking for prospective students (MsC and PhD) to join my interdisciplinary research group at University of Warsaw, we are working on the general topic of reliable AI, in particular reliable (deep) reinforcement learning, and validated model-free optimal control design for continuous robotic tasks, see example project description (At this point I filled available PhD student positions, however if you are interested I recommend to contact me for future reference).

My main research goal is to contribute new methods and explanatory fundamental theories to cyber-physical systems and machine learning by applying my strong background and years of experience in applied mathematics research. The topics that I found interesting at this point are:

• Artificial Intelligence (Deep Learning, Deep Neural Networks, Optimization for supervised learning using stochastic gradient descent (SGD) and its variants),
• Reinforcement Learning for applications in control design/robotics/cyber-physical systems,
• Verification of properties of cyber-physical systems,
• Topological Data Analysis.

Current collaboration:

• Sicun Gao (UC San Diego)
• Radu Grosu (TU Wien)
• David Meyer (UC San Diego)
• Arif Islam (Texas Tech)
• Jean-Philippe Lessard (McGill University)
• Konstantin Mischaikow (Rutgers University)
• Scott Smolka (Stony Brook)
• Yongsoo Song (Microsoft Research)