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Sándor Szénási
PeerJ Editor & Author
2,170 Points

Contributions by role

Author 270
Editor 1,900

Contributions by subject area

Distributed and Parallel Computing
Graphics
Scientific Computing and Simulation
Software Engineering
Autonomous Systems
Data Mining and Machine Learning
Spatial and Geographic Information Systems
Algorithms and Analysis of Algorithms
Artificial Intelligence
Computational Linguistics
Natural Language and Speech
Optimization Theory and Computation
Computer Vision
Computer Networks and Communications
Real-Time and Embedded Systems
Robotics
Human-Computer Interaction
Visual Analytics
Multimedia
Adaptive and Self-Organizing Systems
Computer Architecture
Emerging Technologies
Theory and Formal Methods

Sándor Szénási

PeerJ Editor & Author

Summary

Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.

Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.

His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.

Algorithms & Analysis of Algorithms Artificial Intelligence Computer Education Computer Vision Distributed & Parallel Computing Optimization Theory & Computation Programming Languages Scientific Computing & Simulation

Editing Journals

PeerJ Computer Science

Work details

associate professor

Óbuda University
January 2014
Applied Informatics

assistant lecturer

Óbuda University
January 2001 - December 2013
Applied Informatics

Websites

  • Google Scholar
  • LinkedIn
  • ResearchGate
  • CUDA

PeerJ Contributions

  • Articles 2
  • Edited 8
February 23, 2021
Analysis of historical road accident data supporting autonomous vehicle control strategies
Sándor Szénási
https://doi.org/10.7717/peerj-cs.399
November 20, 2017
Solving the inverse heat conduction problem using NVLink capable Power architecture
Sándor Szénási
https://doi.org/10.7717/peerj-cs.138

Academic Editor on

January 3, 2022
LEMABE: a novel framework to improve analogy-based software cost estimation using learnable evolution model
Maedeh Dashti, Taghi Javdani Gandomani, Dariush Hasanpoor Adeh, Hazura Zulzalil, Abu Bakar Md Sultan
https://doi.org/10.7717/peerj-cs.800
September 13, 2021
Descriptive analysis of dental X-ray images using various practical methods: A review
Anuj Kumar, Harvendra Singh Bhadauria, Annapurna Singh
https://doi.org/10.7717/peerj-cs.620
April 23, 2021
Dynamic mutual manufacturing and transportation routing service selection for cloud manufacturing with multi-period service-demand matching
Seyed Ali Sadeghi Aghili, Omid Fatahi Valilai, Alireza Haji, Mohammad Khalilzadeh
https://doi.org/10.7717/peerj-cs.461
February 9, 2021
Addressing multiple bit/symbol errors in DRAM subsystem
Ravikiran Yeleswarapu, Arun K. Somani
https://doi.org/10.7717/peerj-cs.359
March 30, 2020
A new non-monotonic infeasible simplex-type algorithm for Linear Programming
Charalampos P. Triantafyllidis, Nikolaos Samaras
https://doi.org/10.7717/peerj-cs.265
February 10, 2020
Intrinsic RGB and multispectral images recovery by independent quadratic programming
Alexandre Krebs, Yannick Benezeth, Franck Marzani
https://doi.org/10.7717/peerj-cs.256
July 15, 2019
Comparison of the performance of skip lists and splay trees in classification of internet packets
Navid Khezrian, Mahdi Abbasi
https://doi.org/10.7717/peerj-cs.204
July 3, 2017
Visualising higher-dimensional space-time and space-scale objects as projections to ℝ3
Ken Arroyo Ohori, Hugo Ledoux, Jantien Stoter
https://doi.org/10.7717/peerj-cs.123