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personal data approved: 2024. II. 26.
Personal data
János Márk Szalai-Gindl
name János Márk Szalai-Gindl
name of institution
doctoral school
ELTE Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. ELTE Doctoral School of Informatics 100%
Academic title
scientific degree, title Ph.D.
year degree was obtained 2020
discipline to which degree belongs computer sciences
institution granting the degree Eötvös Loránd University
Employment
2016 - Eötvös Loránd University, Budapest
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:
Roland Kotroczó (PhD) (2026/08)  IDI2-ELTE
  Thesis topic proposals
Research
research area Data placement strategies for point clouds, point cloud template matching, genomic database
research field in which current research is conducted computer sciences
Publications
2022

Varga Daniel, Szalai-Gindl Janos Mark, Ambrus-Dobai Marton, Laki Sandor: QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors, IEEE ACCESS 10: pp. 67839-67850.
type of document: Journal paper/Article
language: English
URL 
2022

Lipták Panna, Kiss Attila, Szalai-Gindl János Márk: Heuristic Pairwise Alignment in Database Environments, GENES 13: (11) pp. 1-20.
type of document: Journal paper/Article
language: English
URL 
2022

Michelisz Máté, Varga Daniel, Szalai-Gindl Janos Mark: CatMat: 3D Object Recognition Using Catenarian Matching, In: Fazekas, István (szerk.) 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS), Institute of Electrical and Electronics Engineers (IEEE) (2022) pp. 189-194.
type of document: Part of book/Proceedings Paper
language: English
URL 
2021

Varga Daniel, Szalai-Gindl Janos Mark, Formanek Bence, Vaderna Peter, Dobos Laszlo, Laki Sandor: Template Matching for 3D Objects in Large Point Clouds Using DBMS, IEEE ACCESS 9: pp. 76894-76907.
type of document: Journal paper/Article
language: English
URL 
2020

GOMBOS Gergo, SZALAI-GINDL János Márk, DONKÓ István, KISS Attila: TOWARDS ON EXPERIMENTAL COMPARISON OF THE M-TREE INDEX STRUCTURE WITH BK-TREE AND VP-TREE, ACTA ELECTROTECHNICA ET INFORMATICA 20: (2) pp. 19-26.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2019

Szalai-Gindl János Márk, Kiss Attila, Halász Gábor, Dobos László, Csabai István: ND-GiST: A Novel Method for Disk-Resident k-mer Indexing, In: Álvaro, Rocha; Hojjat, Adeli; Luís, Paulo Reis; Sandra, Costanzo (szerk.) New Knowledge in Information Systems and Technologies, Springer International Publishing (2019) pp. 663-672.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2019

Istvan Csabai, Laszlo Dobos, Attila Kiss, Janos M. Szalai-Gindl: LOAD BALANCING IN DISTRIBUTED POINT CLOUD DATABASES, ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA 49: pp. 97-116.
type of document: Journal paper/Article
language: English
URL 
2018

Szalai-Gindl J.M., Loredo T.J., Kelly B.C., Csabai I., Budavári T., Dobos L.: GPU-accelerated hierarchical Bayesian estimation of luminosity functions using flux-limited observations with photometric noise, ASTRONOMY AND COMPUTING 25: (&) pp. 247-256.
type of document: Journal paper/Article
language: English
URL 
2018

István Csabai, László Dobos, Attila Kiss, János M. Szalai-Gindl: Some mathematical properties of the performance measures applied for point cloud databases, ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA 47: pp. 197-209.
type of document: Journal paper/Article
language: English
2017

János M Szalai-Gindl, László Dobos, István Csabai: Tiling Strategies for Distributed Point Cloud Databases, In: Alok, Choudhary; Kesheng, Wu; Florin, Rusu; Goce, Trajcevski; Arie, Shoshani; Bin, Dong; Bing, Zhang (szerk.) Proceedings of the 29th International Conference on Scientific and Statistical Database Management, ACM Press (2017) a32
type of document: Part of book/Proceedings Paper
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:
22
number of scientific publications:
21
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
119


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. )