Luca Szegletes - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2024. I. 05.

Personal data

name	Luca Szegletes
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. ) BME Doctoral School of Electrical Engineering (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. )
the share of work in the different doctoral schools.	BME Doctoral School of Informatics 100%

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2016
discipline to which degree belongs	computer sciences
institution granting the degree	Budapest University of Technology and Economics

Employment
2015 -	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:

present PhD students:

Balázs Tibor Morvay	(PhD)	(2027/08)	DSI-BME
Judit Tevesz	(PhD)	(2027/08)	DSI-BME
Bálint Béres	(PhD)	(2026/01)	DSI-BME
Szabolcs Torma	(PhD)	(2026/01)	DSEE

Thesis topic proposals

Research
research area	- Application of Deep Learning in Physiological Signal Processing - Deep Learning on Graphs
research field in which current research is conducted	computer sciences electrical engineering

Publications

2023

Szabolcs Torma, Judit Tevesz, Dr. Luca Szegletes: Generating Visually Evoked Potentials Using a Diffusion Probabilistic Model, In: IEEE (szerk.) 14th IEEE International Conference on Cognitive Infocommunications, IEEE (2023) pp. 61-64.
type of document: Part of book/Proceedings Paper
language: English

2023

Balazs Tibor Morvay, Balint Béres, Szabolcs Torma, Dr. Luca Szegletes: Diffusion probabilistic model based face anonymization in embedded environments, In: IEEE (szerk.) 14th IEEE International Conference on Cognitive Infocommunications, IEEE (2023) pp. 135-140.
type of document: Part of book/Proceedings Paper
language: English

2023

Tóth Bálint, Torma Szabolcs, Nagy Ákos, Szegletes Luca: Deep learning-based blood pressure measurement on a low-power microcontroller, In: IEEE (szerk.) 14th IEEE International Conference on Cognitive Infocommunications, IEEE (2023) pp. 117-121.
type of document: Part of book/Proceedings Paper
language: English

2021

Farsang Mónika, Szegletes Luca: Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment, In: Dunaev, Dmitriy; Vajk, István (szerk.) Proceedings of the Automation and Applied Computer Science Workshop 2021, Budapesti Műszaki és Gazdaságtudományi Egyetem (2021) pp. 29-41.
type of document: Part of book/Proceedings Paper
language: English

2021

Farsang Mónika, Szegletes Luca: Controlling Agents by Constrained Policy Updates, SYSTEM THEORY CONTROL AND COMPUTING JOURNAL 1: (2) pp. 33-39.
type of document: Journal paper/Article
language: English
URL

2018

Cai W, Chen T, Szegletes L, Supekar K, Menon V: Aberrant Time-Varying Cross-Network Interactions in Children With Attention-Deficit/Hyperactivity Disorder and the Relation to Attention Deficits, BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 3: (3) pp. 263-273.
type of document: Journal paper/Article
number of independent citations: 28
language: English
URL

2016

Luca Szegletes, Máté Köles, László Gazdi, Bertalan Forstner: Mental Effort Classification Using Multiple Sensors, In: István, Vajk; Dmitriy, Dunaev (szerk.) Proceedings of the Automation and Applied Computer Science Workshop 2016, Budapest University of Technology and Economics, Department of Automation and Applied Informatics (2016) pp. 121-130.
type of document: Part of book/Proceedings Paper
language: English

2016

Szegletes Luca, Köles Máté, Forstner Bertalan: Multi-Source Classification - A Mental Effort Study, In: anon (szerk.) International Symposium on Stability, Vibrations and Control of Systems (SVCS 2016), Budapesti Műszaki Egyetem (BME) (2016) pp. 80-91.
type of document: Conference paper/Előadás vagy poszter cikke
language: English

2015

Szegletes Luca, Köles Máté, Forstner Bertalan: Socio-cognitive gamification: general framework for educational games, JOURNAL ON MULTIMODAL USER INTERFACES 9: (4) pp. 395-401.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL

2012

Felipe Gerhard, Szegletes Luca: Spline- and wavelet-based models of neural activity in response to natural visual stimulation., In: Michael CK, Khoo (szerk.) 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE (2012) pp. 4611-4614.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
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: