Thesis supervisor: László Kovács
Location of studies (in Hungarian): University of Debrecen, Faculty of Inforamtics Abbreviation of location of studies: DEIK
Description of the research topic:
The research topic focuses on the research and development of autonomous solutions, autonomous robots, drones for self-driving vehicles, autonomous solutions using advanced machine learning methods, deep learning algorithms for widespread sensor signal analysis, sensor development, and simulation data analysis including communications. The topic is cover the investigation and implementation of advanced embedded artificial intelligence systems in applied and industry-oriented research and development. It is included the design, development, and integration of specific sensors and detectors into complex systems. The research theme also includes research analysis tasks implemented through simulation technologies. This will involve the research development of related advanced machine learning techniques, sensor developments, sensor signal analysis, and robot developments in a simulation environment before their implementation in a model and industrial environment.
Irodalom:
1. Yoshua Bengio, Ian J. Goodfellow, Aaron Courville: Deep Learning, MIT Press, 2015.
2. I. Goodfellow, Y. Bengio, A. Courville: Deep Learning, MIT Press, 2016.
3. F. Chollet: Deep learning with Python, Manning, November 2017.
4. Terrence J. Sejnowski: The Deep Learning Revolution, The MIT Press, 2018.
5. L. Igual, S. Segui: Introduction to Data Science, A Python Approach to Concepts, Techniques and Applications, Springer International Publishing, 2017.
6. C.C. Aggarwal: Neural Networks and Deep Learning, Springer International Publishing, 2018.
7. Abdelaziz Bensrhair, Thierry Bapin: From AI to Autonomous and Connected Vehicles: Advanced Driver-Assistance Systems (ADAS), Wiley, 2021.
8. Shaoshan Liu: Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach, Wiley, 2020.
Deadline for application: 2022-11-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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