Smart Analytics & Reinforcement Learning
The team Smart Analytics & Reinforcement Learning focuses on application-oriented basic research in the fields of machine learning, statistics and control theory. The applications cover a wide spectrum, both in the industrial and digital area, and enable new approaches to solutions for various current problems in process and decision optimisation.
Postdoc-Position: Simon Hirländer
Dr. Simon Hirländer is leading the team „Smart Analytics & Reinforcement Learning“. He has several years of experience in research in the international environment of CERN, where he also obtained his PhD. In his recent work he was concentrating on the optimization of the performance of the CERN particle accelerator complex using machine-learning techniques, especially applied reinforcement learning.
Masterstudent: Olga Mironova (DM-Hirländer)
Olga Mironova obtained a bachelor’s degree in mathematics and later a master’s degree in economics. In her professional career, she has been involved in various projects using machine learning to forecast sales and evaluate promotional efficiency for one of the largest FMCG companies. She is currently pursuing a Master’s degree in Data Science at PLUS and working as a project assistant focusing on Smart Analytics & Reinforcement Learning.
Masterstudent: Sahan Dabarera (NauROM)
Sahan Dabarera holds a bachelor’s degree in Mathematics, Statistics, and Information Technology from the University of Colombo. With five years of experience as a Software Engineer in the Big Data sector, he specializes in Data Analysis, Data Modelling, and Data Engineering. He is particularly interested in machine learning and reinforcement learning and is currently completing his Master’s degree in Data Science at PLUS.
Masterstudent: Sarah Trausner (DEOP 2.0)
Sarah Trausner completed her Bachelor’s degree in Mathematics at PLUS and is currently pursuing a Master’s degree in Data Science (PLUS). Her focus lies on segmentation, clustering and forecasting.
Masterstudent: Benjamin Halilovic
Benjamin Halilovic is studying applied image and signal processing at PLUS and at the Salzburg University of Applied Sciences in a joint degree programme. His master’s thesis deals with optimisation questions in the research field of particle accelerators, which are to be answered with the help of reinforcement learning. His thesis focuses on a joint project with the GSI Helmholtz Centre for Heavy Ion Research under the supervision of Simon Hirländer.
Predoc-Position: Sabrina Pochaba
Sabrina Pochaba completed her Master’s degree in mathematics at Ruprecht-Karls-University in Heidelberg. In her master thesis she analyzed a system of partial differential equations searching for pattern formation. Currently, she is working with neural networks and machine learning in the team Communication Technologies at SRFG.
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