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Thesis topic proposals by doctoral schools
Please select an institution, a doctoral school or provide the identification number of the doctoral school
 
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topics both in English and Hungarian
 
Current thesis topic proposals of Eötvös Loránd University, Budapest, Doctoral School of Informatics

thesis supervisor

research topic

deadline for application

location of studies (in Hungarian)
András Gilyén
Zoltán Zimborás
Quantum Simulation2024-05-31Rényi
Mátyás AndóERP system integration for automation of the production process2024-05-31ELTE
Mátyás Andó
Béla János Szekeres
Usage of deep learning algorithms in case of tool and workpiece monitoring2024-05-31ELTE
Mátyás AndóEnhancing maintenance and manufacturing resource management in a manufacturing company2024-05-31ELTE
Mátyás Andó
Zoltán Pödör
Data mining based artificial signals and complex sensor analysis2024-05-31ELTE
András ifj. BenczúrArtificial intelligence applications2024-05-31ELTE
Gergő BognárInverse problems in image processing2024-05-31ELTE
Gergő BognárModel-based artificial intelligence in signal and image processing2024-05-31ELTE
Udo BubDevelopment of a method for the design and deployment of next generation data engineering systems2024-05-31ELTE
Kristian Arian FenechHuman-Machine Interaction2024-05-31ELTE
László GulyásMaking reinforcement learning-based multi-agent systems more robust against disturbances2024-05-31ELTE
László GulyásApplication of machine unlearning mechanisms for improved decision making models2024-05-31ELTE
László Gulyás
Péter Érdi
Use of Generative Artificial Intelligence in Product Development2024-05-31ELTE
Dániel HorpácsiFormal descriptions of programming language frameworks2024-05-31ELTE
András JungHigh resolution remote sensing and field spectroscopy2024-05-31ELTE
Csaba KerepesiBioinformatics aspects of aging and rejuvenation2024-05-31ELTE
Péter KovácsModelling of dynamic system with adaptive rational orthogonal functions2024-05-31ELTE
Péter KovácsRealization of model driven machine learning methods2024-05-31ELTE
Tamás Kozsik
Zoltán Zimborás
Machine Learning for Quantum Computation2024-05-31ELTE
Péter KutasCryptanalysis of non-commutative LWE schemes2024-05-31ELTE
Péter LigetiSecurity and privacy aspects of machine learning2024-05-31ELTE
Péter Ligeti
Márta Angyalné Dr. Alexy
Secure protocols in distributed and mobile environment2024-05-31ELTE
Tamás LukovszkiSoftware Defined Networks (SDN) – Algorithms, optimization2024-05-31ELTE
Tamás LukovszkiLocal Algorithms for Autonomous Robots2024-05-31ELTE
Tamás LukovszkiNetwork design for SDN2024-05-31ELTE
Tamás LukovszkiSelf organizing sensor networks – Algorithms2024-05-31ELTE
Tamás LukovszkiNetwork Function Virtualization (NFV) – Optimization, Algorithms2024-05-31ELTE
Máté NagySimultaneous modelling of bird flocks and collective drones for using computer-vision tools for population estimations2024-05-31ELTE
Balázs PintérTransforming programs between different representations2024-05-31ELTE
Jurij Sidor
Péter Kovács
Knowledge-augmented Machine Learning Algorithms in Processing of Materials2024-05-31ELTE
Jurij Sidor
Péter Kovács
Knowledge-augmented Machine Learning Algorithms in Processing of Materials2024-05-31ELTE
Jurij Sidor
Tamás Kozsik
Simulation of technological processes by employing advanced computational alghorithms2024-05-31ELTE
Jurij Sidor
László Gulyás
Development of advanced numerical algorithms in virtual processing of materials2024-05-31ELTE
Márta Turcsányi-SzabóExploring research trends in the use of Large Language Models (LLMs) in Education2024-05-31ELTE
László Zsolt VargaReliable Complex Adaptive Systems2024-05-31ELTE
Csaba KerepesiAge prediction based on random sequencing data2024-05-31SZTAK


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).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )