Péter Kacsuk is affiliated with the MTA SZTAKI Laboratory of Parallel and Distributed Systems in Hungary. Their research primarily focuses on areas within computer science, including information systems, geography, planning and development, management science and operations research, artificial intelligence, and computer vision and pattern recognition.
Their recent publications cover a range of topics related to cloud computing, data management, and machine learning. Notable works include:
The main topics covered in their body of work include Hungarian social, economic, and educational studies, data quality and management, cloud computing and resource management, cloud data security solutions, topic modeling, graph theory and algorithms, and IoT and edge/fog computing.
Frequent co-authors contributing to these publications are:
Their scholarly output has appeared repeatedly in certain publication venues, notably:
Research subjects also reflect a multidisciplinary approach, extending toward practical and theoretical aspects of cloud computing, data repository design, and the application of machine learning frameworks in distributed systems.
Dezso Sima;Peter Kacsuk
Peter K. Kacsuk;Gergely Sipos
Peter Kacsuk;Zoltan Farkas;Miklos Kozlovszky;Gabor Hermann
Thierry Delaitre;Tamás Kiss;Ariel Goyeneche;Gábor Terstyánszky
Kenneth Marsh;Anthony Whitworth;Oliver Lomax;Sarah Ragan
Peter Kacsuk
Péter Kacsuk;José C. Cunha;Gábor Dózsa;João Lourenço
Péter Kacsuk;Gábor Dózsa;József Kovács;Róbert Lovas
Tamas Kiss;Peter Kacsuk;Jozsef Kovacs;Botond Rakoczi
M. Riedel;E. Laure;Th. Soddemann;L. Field
Gabor Kecskemeti;Gabor Terstyanszky;Peter Kacsuk;Zsolt Neméth
Péter Kacsuk;Gábor Dózsa;Tibor Fadgyas
Z. Farkas;P. Kacsuk
Peter K. Kacsuk;Jozsef Kovacs;Zoltan Farkas;Attila Csaba Marosi
Etienne Urbah;Peter K. Kacsuk;Zoltan Farkas;Gilles Fedak
Peter Kacsuk;Tamas Kiss;Gergely Sipos
P. Kacsuk;A. Goyeneche;T. Delaitre;T. Kiss
Gabor Terstyanszky;Tamas Kukla;Tamas Kiss;Peter Kacsuk
Z. Balaton;G. Gombas;P. Kacsuk;A. Kornafeld
Peter Kacsuk;Jens Volkert;Zsolt Nemeth;Dieter Kranzlmuller
Michael Gerndt;Roland Wismüller;Zoltán Balaton;Gábor Gombás
M. Gerndt;R. Wismüller;Zoltán Balaton;Gábor Gombás
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to a wide range of online degree and career options. Many students look for flexible routes such as the fastest degree to get online to accelerate their entry into the tech workforce. These accelerated programs let you earn credentials quickly while balancing other commitments.
As the demand for tech professionals grows, specializing can give you an edge. For instance, pursuing degrees in ai can be a strategic choice, as artificial intelligence skills are in high demand across industries. Choosing one of the best majors in college—like computer science, data science, or information systems—can also increase your job prospects and earning potential.
For those seeking further advancement, some opt for the short masters programs that provide advanced knowledge without a lengthy time commitment. These pathways offer a smart balance between education, affordability, and career growth in the evolving tech landscape.
Utrecht University
University of Erlangen-Nuremberg
Zhengzhou University
Grenoble Institute of Technology
Indian Institute of Chemical Technology
Technical University of Kaiserslautern
University Medical Center Groningen
University of Tennessee at Knoxville
Chinese Academy of Sciences
Ghent University
Institute of Molecular Biology
Carnegie Mellon University
University of Florence
Huazhong University of Science and Technology
GlaxoSmithKline (United Kingdom)
Cornell University
