István Szatmári, Ph.D., senior research fellow
István Szatmári
Address: 1111 Budapest, Kende u. 13-17.
Room number: K 328
Phone: +36 1 279 6123
E-mail: szatmariEZT_TOROLJE_KI@EZT_TOROLJE_KIsztaki.hu
Homepage: www.sztaki.hu/~szatmari
Department: Cellular Sensory and Optical Wave Computing Laboratory

István Szatmári received the M.Sc. degree in electrical engineering from the Technical University of Budapest, Hungary, in 1995 and the Ph.D. degree from the Hungarian Academy of Sciences in 2002. He is currently at the Analogical and Neural Computing Laboratory of the Computer and Automation Research Institute of the Hungarian Academy of Sciences. In 1997 and 2004, he worked at the University of California (Berkeley, USA) as a research assistant working on CNN projects related to real time image processing. His research interests include associative memories, theory of metrics, and hardware design hosting CNN-UM chips.

He is the author or co-author of more than 30 publications, out of these 8 were published in referred journals and 15 in conference proceedings. He is a co-author of the "Towards the Visual Microprocessor: VLSI Design and the Use of Cellular Neural Network Universal Machines" book from Wiley.

He received Bolyai János Hungarian State Fellowship (2000), and Hungarian State Eötvös Scholarship (1997). He is member of the IEEE.

In recent years he has participated in several successful research and development projects including US, European, Hungarian R&D grants. His development experience and competency includes mix mode (analog and digital) architecture design and measurement, multiprocessor Texas DSP environment, fast image processing algorithm development.

Publications

[order by time] [order by categories ] [order by authors]

2010.

GPU implementation of volume reconstruction and object detection in digital holographic microscopy.
Authors: Orzó, László; Göröcs Zoltán, Sándor; Szatmári, István; Tőkés, Szabolcs
Editor: Roska, Tamás; Gilli, Marco; Zarándy, Ákos
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2010. 02. 03.
Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 473-476.)
Pattern formation in oscillatory media: beyond reaction-diffusion model.
Authors: Szatmári, István
Editor: Roska, Tamás; Gilli, Marco; Zarándy, Ákos
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2010. 02. 03.
Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 127-131.)
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2006.

Object comparison using PDE-based wave metric on cellular neural networks
Authors: Szatmári, István
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2006.
Published by: International Journal of Circuit Theory and Applications (Volume no.: 34, Page: 359-382)
Spatio-temporal nonlinear wave metric for binary and gray-scale object comparison on analogic cellular wave computers
Authors: Szatmári, István
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2006.
Published by: Functional Differential Equations (Volume no.: 13, Issue no.: 1, Page: 89-97)
Nagysebességű képfeldolgozás - ALFA projekt
Authors: Radványi, András; Szirányi, Tamás; Szatmári, István
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2006.
Published by: Bolyai Szemle (Volume no.: 15, Issue no.: 1, Page: 50-53)

2005.

High-speed label inspection system for textile industry
Authors: Szatmári, I; Zarándy, Á
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2005.
Published by: Proceedings of the 10th IMEKO TC10. International conference on technical diagnostics. Budapest, 2005. (Page: 99-102)

2004.

Efficient off-line feature selection strategies for on-line classifier systems
Authors: Bálya, D; Tímár, G; Szatmári, I; Rekeczky, CS
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2004.
Published by: Neural Networks, 2004. Proceedings of the IEEE International Joint Conference IJCNN'04, Vol. 1 (Page: 171-176)
Cellular multiadaptive analogic achitecture: a computational framework for UAV applications
Authors: Rekeczky, CS; Szatmári, I; Bálya, D; Tímár, G; Zarándy, Á
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2004.
Published by: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (Volume no.: 51, Issue no.: 5, Page: 864-884)
Topographic and non-topographic neural network based computational platform for UAV applications
Authors: Rekeczky, CS; Tímár, G; Bálya, D; Szatmári, I; Zarándy, Á
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2004.
Published by: Neural Networks, 2004. Proceedings of the IEEE International Joint Conference IJCNN'04, Vol. 3. (Page: 1763-1768)

2003.

Adaptive multi-rate, multi-grid and multi-scale algorithms running on analogic architecture
Authors: Rekeczky, CS; Szatmári, I; Tímár, G; Bálya, D
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Circuit Theory and Design. Proceedings of the 16th European Conference ECCTD'03. Vol. 1. (Page: 401-404)
Active wave computing on silicon: chip experiments
Authors: Rekeczky, CS; Petrás, I; Szatmári, I; Földesy, P
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Circuit Theory and Design. Proceedings of the 16th European Conference ECCTD'03. Vol. 2. (Page: 430-433)
Classification of spatio-temporal features: the nearest neighbor family
Authors: Bálya, D; Tímár, G; Szatmári, I; Rekeczky, CS
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Circuit Theory and Design. Proceedings of the 16th European Conference ECCTD'03. Vol. 3. (Page: 129-132)
Bio-inspired flight control and visual search with CNN technology
Authors: Rekeczky, CS; Bálya, D; Tímár, G; Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Circuits and Systems, 2003. Proceedings of the ISCAS '03, Bankok, Vol. 3. (Page: 774-777)
Multi-channel spatio-temporal topographic processing for visual search and navigation
Authors: Szatmári, I; Bálya, D; Tímár, G; Rekeczky, CS; Roska, T
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Bioengineered and bioinspired systems. Proceedings. Gran Canaria, 2003. (Proceedings of SPIE 5119) (Page: 297-306)
Vision systems based on the 128x128 focal plane cellular visual microprocessor chips
Authors: Zarándy, Á; Rekeczky, CS; Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Circuits and Systems, 2003. Proceedings of the ISCAS '03, Bangkok, Vol. 3. (Page: 518-521)
Feature guided visual attention with topographic array processing and neural network-based classification
Authors: Tímár, G; Bálya, D; Szatmári, I; Rekeczky, CS
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: Neural Networks, 2003. Proceedings of the International Joint Conference, Vol. 2. IJCNN Portland (Page: 1492-1496)
The new framework of applications: the Aladdin system
Authors: Zarándy, Á; Rekeczky, CS; Földesy, P; Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2003.
Published by: JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS (Volume no.: 12, Issue no.: 6, Page: 769-781)

2002.

Image processing library for the ALADDIN visual computer.
Authors: Szatmári, I; Földesy, P; Rekeczky, CS; Zarándy, Á
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2002.
Published by: Cellular Neural Networks and Their Applications. Proceedings of the 7th IEEE International Workshop (Page: 563-570)
Analogic cellular PDE machines.
Authors: Rekeczky, CS; Szatmári, I; Földesy, P; Roska, T
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2002.
Published by: Proceedings of the 2002 IEEE World Congress on Computational Intelligence (WCCI 2002) Honolulu
Moving object traking on panoramic images.
Authors: Földesy, P; Szatmári, I; Zarándy, Á
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2002.
Published by: Cellular Neural Networks and Their Applications. Proceedings of the 7th IEEE International Workshop (Page: 63-70)

2001.

Computing on silicon with trigger-waves: experiments on CNN-UM chips.
Authors: Rekeczky, CS; Szatmári, I; Földesy, P
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2001.
Published by: IEEE international symposium on circuits and systems. ISCAS 2001. Sydney, 2001. Vol. 3. (Page: 49-52)

2000.

The implementation of a nonlinear wave metric for image analysis and classification on the 64x64 I/O CNN-UM chip.
Authors: Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000. (Page: 395-400)
Morphology and autowave metric on CNN applied to Bubble-Debris classification.
Authors: Szatmári, I; Schultz, A; Rekeczky, CS; Kozek, T; Roska, T; Chua, LO
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: IEEE TRANSACTIONS ON NEURAL NETWORKS (Volume no.: 11, Issue no.: 6, Page: 1385-1393)
An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
Authors: Szatmári, I; Zarándy, Á; Földesy, P; Kék, L
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2. (Page: 124-127)
CNN technology in action.
Authors: Zarándy, Á; Espejo, S; Földesy, P; Kék, L; Linán, G; Rekeczky, C; Rodriguez-Vázquez, A; Roska, T; Szatmári, I; Szirányi, T; Szolgay, P
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000. (Page: 79-81)
A CNN application development environment and toolkit, CADETWin.
Authors: Roska, T; László, K; Kék, L; Kozek, T; Nemes, L; Rekeczky, C; Szatmári, I; Zarándy, A; Zöld, S; Szolgay, P
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: Towards the visual microprocessor. VLSI design and the use of cellular neural network universal machines. (Page: 39-58)
Nonlinear wave metric for object comparison on CNN architecture.
Authors: Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 2000.
Published by: (Page: 110)

1999.

A nonlinear wave mertic and its CNN implementation for object classification.
Authors: Szatmári, I; Rekeczky, CS; Roska, T
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1999.
Published by: JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (Volume no.: 23, Issue no.: 2-3, Page: 437-447)
The CADETWin application software design system - a tutorial.
Authors: Szolgay, P; László, K; Kék, L; Kozek, T; Nemes, L; Petrás, I; Rekeczky, CS; Szatmári, I; Zarándy, Á; Zöld, S; Roska, T
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1999.
Published by: Design automation day on cellular visual microprocessor. Stresa, 1999. (Page: 58-68)
The computational infrastructure for cellular visual microprocessors.
Authors: Szolgay, P; Zarándy, Á; Zöld, S; Roska, T; Földesy, P; Kék, L; Kozek, T; László, K; Petrás, I; Rekeczky, CS; Szatmári, I; Bálya, D
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1999.
Published by: MicroNeuro '99. Proceedings of the seventh international conference on microelectronics for neural, fuzzy, and bio-inspired systems. Granada, 1999. (Page: 54-60)

1998.

Spatio-temporal CNN algorithm for object segmentation and object recognition.
Authors: Schultz, A; Rekeczky, CS; Szatmári, I; Roska, T; Chua, LO
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1998.
Published by: 1998 fifth IEEE international workshop on cellular neural networks and their applications. CNNA 98. Proceedings. London, 1998. (Page: 347-352)
The CNN implementation of wave type metric for image analysis and classification.
Authors: Szatmári, I; Roska, T
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1998.
Published by: Proceedings of the 6th international specialist workshop on nonlinear dynamics of electronic systems. NDES'98. Budapest, 1998. Budapest, Techn. Univ. of Budapest, 1998. (Page: 137-140)

1997.

Image segmentation and edge detection via constrained diffusion and adaptive morphology: a CNN approach to bubble/debris image enhancement.
Authors: Rekeczky, CS; Schultz, A; Szatmári, I; Roska, T; Chua, LO
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1997.
Published by: 1997 international symposium on nonlinear theory and its applications. NOLTA '97. Proceedings. Honolulu, 1997. Vol. 1. (Page: 209-212)
Bubble-debris classification via binary morphology and autowave metric on CNN.
Authors: Szatmári, I; Schultz, A; Rekeczky, CS; Roska, T; Chua, LO
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1997.
Published by: 1997 international symposium on nonlinear theory and its applications. NOLTA '97. Proceedings. Honolulu, 1997. Vol. 1. (Page: 217-220)
A fast fixed point learning method to implement associative memory on CNN's.
Authors: Szolgay, P; Szatmári, I; László, K
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1997.
Published by: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS (Volume no.: 44, Issue no.: 4, Page: 362-366)

1996.

ACE: A digital floating point CNN emulator engine.
Authors: Fehér, B; Szolgay, P; Roska, T; Radványi, AG; Szirányi, T; Csapodi, M; László, K; Nemes, L; Szatmári, I; Tóth, G; Venetianer, PL
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1996.
Published by: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996. (Page: 273-278)
A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
Authors: Szolgay, P; Szatmári, I; László, K
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1996.
Published by: A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.) (Page: 16)

1995.

A fast learning method to implement associative memory on CNN
Authors: Szolgay, P; Kék, L; Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1995.
Published by: ECCTD '95. Proceedings of the 12th European conference on circuit theory and design. Istanbul, 1995. Vol. 2. (Page: 991-994)
A new learning algorithm to implement associative memory on CNN. (Research report of the Analogical and Neural Computing Laboratory DNS-8-1995.)
Authors: Szolgay, P; Kék, L; Szatmári, I
Department: Cellular Sensory and Optical Wave Computing Laboratory
Date: 1995.
Published by: A new learning algorithm to implement associative memory on CNN. (Research report of the Analogical and Neural Computing Laboratory DNS-8-1995.) (Page: 12)

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