László Szécsi - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. I. 05.

Personal data

name	László Szécsi
name of institution	Budapest University of Technology and Economics
doctoral school	BME Doctoral School of Informatics (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. )

Contact details
E-mail address	szecsiiit.bme.hu
phone number	+36 1 463-1517
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2010
discipline to which degree belongs	computer sciences
institution granting the degree	Budapest University of Technology and Ecomnomics

Employment
2004 -	Budapest University of Technology and Economics university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

number of students who fulfilled course requirements

students who obtained their degrees:

Ágota Enikő Kacsó

PhD

2021

DSI-BME

present PhD students:

András Máté Fridvalszky	(PhD)	(2025/01)	DSI-BME
Attila Ádám Kárpáti	(PhD)	(2025/01)	DSI-BME
Viktória Burkus	(PhD)	(2025/01)	DSI-BME

Thesis topic proposals

Research
research area	Algorithms in computer graphics, principally image synthesis, including both photo-realistic and stylistic rendering in real-time, on parallel architectures.
research field in which current research is conducted	computer sciences

Publications

2022

Viktória Burkus, Attila Kárpáti, Gergely Klár, László Szécsi: Real-time Sponge and Fluid Simulation, In: Pelechano, Nuria; Vanderhaeghe, David (szerk.) Eurographics 2022 - Short Papers, Eurographics Association (2022) pp. 81-84.
type of document: Part of book/Proceedings Paper
language: English

2021

Burkus Viktória, Kárpáti Attila, Szécsi László: Particle-Based Fluid Surface Rendering with Neural Networks, In: Computer Science Research Notes, (2021) pp. 237-244.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL

2021

Burkus Viktória, Kárpáti Attila, Szécsi László: Particle-Based Fluid Surface Rendering with Neural Networks, Computer Science Research Notes 3101: pp. 237-244.
type of document: Journal paper/Konferenciaközlemény
language: English
URL

2020

Milán Magdics, László Szirmay-Kalos, Balázs Tóth, László Szécsi: Depth of Interaction Modeling for PET, In: László, Szirmay-Kalos; Bálint, Kiss (szerk.) Proceedings of the Workshop on the Advances of Information Technology 2020 : WAIT 2020, Budapesti Műszaki és Gazdaságtudományi Egyetem Villamosmérnöki és Informatikai Kar (2020) pp. 79-88.
type of document: Part of book/Proceedings Paper
language: English

2018

Umenhoffer T, Szirmay-Kalos L, Szecsi L, Lengyel Z, Marinov G: An image-based method for animated stroke rendering, VISUAL COMPUTER 34: (6-8) pp. 817-827.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL

2018

Tamas Umenhoffer, Marton Toth, Agota Kacso, Laszlo Szecsi, Akos Szlavecz, Peter Somogyi, Laszlo Szilagyi, Aniko Kubovje, Tamas Szerafin, Laszlo Szirmay-Kalos, Balazs Benyo: Modeling and simulation framework of aortic valve for hemodynamic evaluation of aortic root replacement surgery outcomes, IFAC PAPERSONLINE 51: (27) pp. 258-263.
type of document: Journal paper/Konferenciaközlemény
language: English
URL

2017

Szirmay-Kalos L, Szécsi L: Improved stratification for Metropolis light transport, COMPUTERS & GRAPHICS-UK 68: pp. 11-20.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2017

Szecsi L, Kacso A, Zeck G, Hantz P: Interactive Light Stimulus Generation with High Performance Real-Time Image Processing and Simple Scripting, FRONTIERS IN NEUROINFORMATICS 11: 70
type of document: Journal paper/Article
language: English
URL

2016

László Szécsi, Zoltán Bendefy, Ágota Kacsó: Kernel-Reflection Sequences, In: Giovanni, Pintore; Filippo, Stanco (szerk.) STAG 2016, European Association for Computer Graphics (2016) pp. 53-62.
type of document: Part of book/Proceedings Paper
language: English
URL

2011

Tamás Umenhoffer, László Szécsi, László Szirmay-Kalos: Hatching for motion picture production, COMPUTER GRAPHICS FORUM 30: (2) pp. 533-542.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL

Number of independent citations to these publications:

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

number of independent citations to scientific publications and creative works:

266

2023. X. 03.
ODT ülés
Az ODT következő ülésére 2023. december 5-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).