Prof. dr hab. Janusz Szczepanski
Professor of the Institute of Fundamental Technological Research Polish Academy of Sciences

e-mail		jszczepa@ippt.gov.pl	Address	PL 02-106 Warsaw
tel.		+48 22 8261281 ext. 449		Pawinskiego 5B
fax.		+48 22 8269815		room 324

	Current Position
	Education Background and Scientific Degrees
	Fields of Expertise and Interests
	Previous and Current Grants
	Selected International Conferences and Courses
	Honourss and Awards
	The Other Professional Activity
	Selected Publications

Current Position

2014 – Deputy Director for Research of the Institute of Fundamental Technological Research, Polish Academy of Sciences

1984 – Assistant Professor, Institute of Fundamental Technological Research, Polish Academy of Sciences

2007 – Associate Professor, Institute of Fundamental Technological Research, Polish Academy of Sciences

2007 - 2013 – Professor of the Kazimierz Wielki University in Bydgoszcz

2010 – Professor of the Institute of Fundamental Technological Research, Polish Academy of Sciences

The Other Professional Activity

2001 – 2004 Consultant within Cryptography in the Certification Authority (Root) in Public Key Infrastructure in Poland - Trust and Certification Centre "CENTRAST" Co.

Education Background and Scientific Degrees

1979 - Master's Degree, Warsaw University, Poland, Mathematics, Functional Analysis

1985 - Ph. D., Polish Academy of Sciences, Warsaw

Institute of Fundamental Technological Research, Applied Mathematics

2007 - Habilitation , Polish Academy of Sciences, Warsaw

Institute of Fundamental Technological Research, Computer Sciences

2014 - Full Professor (Title)

Fields of Expertise and Interests

• Neuroinformatics, Neuroscience
• Application of Dynamical Systems and Stochastic Processes (Chaos, Ergodicity and Mixing Properties)
• Cryptography (Digital Signatures, Pseudo-Random Generators, Constructions and Analysis of Cryptosystems)
• Applications of Dynamical Systems and Stochastic Processes to Biological Systems: Neural Networks, DNA
• Information Theory (Coding Methods, Entropy)
• Application of Dynamical Systems to Fluid Dynamics

Previous and Current Grants

• 2011 – 2013 “Application of computational methods based on Information Theory to the analysis of transmission effectiveness in neuronal networks”, Grant NCN: N N519 646540, project manager

• 2004 – 2005 “Information-Theoretical and cryptographical aspects of neuronal discharges” 17/2004/2005, joint project with Institute of Neuroscience, CSIC - Universidad Miguel Hernandez (Prof. M.V. Sanchez-Vives) Spain, project manager

• 2004, Research visit at the University of California San Diego. The subject: Cryptography and Coding Theory

• 2003, Research visit at the Miguel Hernandez University – Alicante. The subject: Neurosciences and Cryptography

• 1992,  Grant of Kosciuszko Foundation  (New York), SIAM Conference

• 1997 - 1999 „Application of stochastic methods in cryptography”, KBN 8 T11 D01112,  Warsaw University of Technology, member of project

• 2000 Grant of the Government of Valencia, INV00-01-19 for research concerning application of approximation of dynamical systems to cryptography (Miguel Hernandez University – Alicante)

• 2000 – 2002 „New methods of constructions and analysis of cryptosystems”, KBN 8T11 D02019, IFTR PAS, member of project

• 2000 – 2002 „Thermodynamic of biopolymers chains” KBN 8T0 7A 045 20, IFTR PAS, member of project

• 2001 – 2002 “Computational properties of cortical neurons: analysis of neural discharges complexity in the visual system” 4043/R01/R02, joint project with Institute of Neuroscience, CSIC - Universidad Miguel Hernandez (Prof. M.V. Sanchez-Vives) Spain, project manager

Selected Presentations at International Conferences and Courses

• „Dynamics Days” – Dusseldorf and Berlin, 1988, 1990

• „SIAM Conference on Application of Dynamical Systems” – Salt Lake City, USA, Oct. 1992

• „International Conference on Nonlinear Dynamics” – Zakopane, Poland, September 1995

• „Nonlinear Evolution Equations and Dynamical Systems” – Kolymbari, Greece, June 1997 (organizer University La Sapienza, Roma)

• “NATO Regional Conference on Military Communications and Information Systems – Partnership for CIS Interoperability”, Zegrze, October 6-8, 1999 and October 10 – 12, 2001

• “World Congress on Neuroinformatics” , Vienna, September 24-29, 2001

• “The Annual Computational Neurosciences Meeting” , Alicante, Spain, July 5-9, 2003

• “International Workshop on Dynamical Systems and Complexity in Information and Communication Technology” , Bologna, Italy, September 6-8, 2004

• “International Symposium on Nonlinear Theory and its Applications, NOLTA 2005” , Bruges, Belgium, October 18-21, 2005

• “35th Meeting Society for Neuroscience” , Washington, November 12-16, 2005

• “3th Congreso Iberoamericano de Seguridad Informatica” , Valparaiso, Chile, November 21-25, 2005

• “10th International Neural Coding Workshop” , Prague, Czech Republic, September 2-7, 2012

• “22 nd Annual Computational Neuroscience CNS 2013” , University of Paris, France, July 13-18, 2013, BMC Neuroscience 2013, 14(Suppl 1):P217

• “12th INCF Workshop on Node Communication and Collaborative Neuroinformatics” , Nencki Institute of Experimental Biology, Warsaw, Poland, April 16-17, 2015

• Research visit at the Moscow University, 1989

• 1988 – participation in the course devoted to the Chaos Theory in Dynamical Systems, Udine, Italy

Honours and Awards

• Since 2018 – Member of the Editorial Board of the
          Information , MDPI, Switzerland  

• Since 2011 - 2013 – Vice-Chairman of the Scientific Council of the
          Institute of Fundamental Technological Research, Polish Academy of Sciences  

• Since 2007 – Member of the Editorial Board and Review Board of the
          International Journal of Computational Science , Hong Kong  

• Member of the Program Committee of the Conference
          Future Generation Communication and Networking, FGCN2007
  December 6th-8th, Jeju Island, Korea  

• Member of the Program Committee of the Conference
          The 2nd Future Generation Communication and Networking, FGCN2008
  December 13th-15th, Hainan Island, China  

• Member of the Program Committee of
          The 2008 International Symposium on Applied Computing and Computational Sciences (ACCS 2008)
  August 1-3, Hong Kong  

• 1989 – Award of the Polish Academy of Sciences (T. Huber) for the research concerning Liouville equation in infinite-dimensional Hilbert space. 

• Member of the American Mathematical Society

• My Erdős number is 3, via A. Paszkiewicz and A. Schinzel

Ph. D. Students

• Andrzej Chmielowiec, Ph. D. degree - November 2012, Subject: Cryptography
  Publications:

• A. Chmielowiec, „Fixed points of the RSA encryption algorithm”, Theoretical Computer Science, V. 411, I. 1, 288-292, (2010), Elsevier Science Publishers.

• A. Chmielowiec, „Fast, parallel algorithm for multiplying polynomials with integer coefficients”, IAENG Transactions on Engineering Technologies, Lecture Notes in Electrical Engineering, V. 229, pp. 605-616, (2013) Springer.

Bartosz Paprocki, Ph. D. degree - December 2015, Subject: Neuroscience
Publications:

• B. Paprocki, J. Szczepanski, „Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics”, BioSystems,105: 62-72 (2011), Elsevier Science Publishers.

• B. Paprocki, J. Szczepanski, „How do the amplitude fluctuations affect the neuronal transmission efficiency”, Neurocomputing, 104: pp. 50-56, (2013), Elsevier Science Publishers.

• B. Paprocki, J. Szczepanski, „Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspects”, Brain Research, 1536: pp. 135-143, (2013), Elsevier Science Publishers.

Selected Publications

• J. Szczepanski, „Liouville Equation in Infinitely Dimensional Separable Hilbert Space”, Bulletin of the Polish Academy of Sciences, Techn., V. 33, No. 5-6, 279-292, (1985).

• J. Szczepanski, „The Properties of the Mechanical System Equivalent to a Billiard in a Triangle”, Bulletin of the Polish Academy of Sciences, Techn., V. 36, No. 7-9, 441-448, (1988).

• J. Szczepanski, „On the Basis of Statistical Mechanics. The Liouville Equation for Systems with Infinite Countable Number of Degrees of Freedom”, Physica A 157, 955-982 (1989), Elsevier Science Publishers.

• H. Zorski, J. Szczepanski, „Classical Mechanics in Infinite-Dimensional Hilbert Space”, Archives of Mechanics, No. 1, 115-132 (1989)

• J. Szczepanski, E.Wajnryb, „Long-Time Behaviour of the One-Particle Distribution Function for the Knudsen Gas in a Convex Domain”, Physical Review A, V. 44, No. 6, 3615-3621 (1991), American Physical Society.

• J. Szczepanski, „On the Problem of Nirenberg concerning Expanding Maps in Hilbert Space Case”, Proceedings of the American Mathematical Society, V. 116, No. 4, 1041-1044 (1992), American Mathematical Society.

• J. Szczepanski, E. Wajnryb, „Do Ergodic Properties of Reflection Law Imply Ergodicity or Chaotic Behaviour of a Particle’s Motion?”, Chaos, Solitons & Fractals, V. 5, No.1, 77-89 (1995), Pergamon - Elsevier Science Publishers.

• Z. Kotulski, J. Szczepanski, „Discrete Chaotic Cryptography”, Annalen der Physik, vol. 6, no. 5, pp. 381-394, (1997), Johann Ambrosius Barth, Heidelberg.

• J. Szczepanski, Z. Kotulski, „On Topologically Equivalent Ergodic and Chaotic Reflection Laws Leading to Different Types of  Particles’ Motion”, Archives of Mechanics, vol. 50, No. 5, pp. 865-875, (1998).

• Z. Kotulski, J. Szczepanski, K. Gorski, A. Paszkiewicz, A. Zugaj, „Application of Discrete Chaotic Dynamical Systems in Cryptography – DCC Method”, International Journal of Bifurcation and Chaos, Vol. 9, no. 6, pp. 1121-1135, (1999), World Scientific Publishing.

• J. Szczepanski, K. Gorski, Z. Kotulski, A. Paszkiewicz, A. Zugaj, „Some Models of Chaotic Motion of Particles and Their Application to Cryptography”, Archives of Mechanics, vol. 51, no. 3-4, pp. 509-528, (1999). 

• J. Szczepanski, „A New Result on the Nirenberg Problem for Expanding Maps”, Nonlinear Analysis: Theory Methods & Applications, 43, 91-99 (2001), Pergamon - Elsevier Science Publishers.

• J. Szczepanski, Z. Kotulski, „Pseudorandom Number Generators Based on Chaotic Dynamical Systems”, Open Systems & Information Dynamics 8: 137-146, (2001), Kluwer Academic Publishers.

• A.Gorska, K.Gorski, Z.Kotulski, A.Paszkiewicz, J.Szczepanski, „New Experimental Results in Differential-Linear Cryptanalysis of Reduced Variants of DES”, in: Advanced Computer Systems, V. 664, pp. 335-348, J.Soldek, J.Pejas, eds, Kluwer Academic Publishers. Boston, January 2002. ISBN 0-7923-7651-X. (2002).

• J. M. Amigo, J. Szczepanski, E. Wajnryb, M.V. Sanchez-Vives, „On the Number of States of the Neuronal Sources”, BioSystems, vol. 68, 1, 57-66 (2003), Elsevier Science Publishers.

• J. Szczepanski, T. Michalek, „Random Fields Approach to the Study of DNA Chains”, Journal of Biological Physics, V. 29 (1): 39-54 (2003), Kluwer Academic Publishers.

• J. Szczepanski,J. M. Amigo, E. Wajnryb, M.V. Sanchez-Vives, „Application of Lempel-Ziv Complexity to the Analysis of Neural Discharges”, Network: Computation in Neural Systems 14 (May 2003), 335-350, Institute of Physics Publishing, United Kingdom.

• J. M. Amigo, J. Szczepanski, „Approximations of Dynamical Systems and Their Application to Cryptography”, International Journal of Bifurcation and Chaos, Vol. 13, no. 7, pp. 1937-1948, (2003), World Scientific Publishing.

• J. Szczepanski, E. Wajnryb, J. M. Amigo, M. V. Sanchez-Vives, M. Slater, „Biometric Random Number Generators”, Computers & Security, Vol. 23, I. 1, pp. 77-84, (2004), Elsevier Science Publishers.

• J. M. Amigo, J. Szczepanski, E. Wajnryb, M. V. Sanchez-Vives, „Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity”, Neural Computation, Vol. 16, I. 4, pp. 717 - 736, (2004), MIT Press.

• J. Szczepanski, J. M. Amigo, E. Wajnryb, M. V. Sanchez-Vives, „Characterizing Spike Trains with Lempel-Ziv Complexity”, Neurocomputing, 58-60: pp. 79-84, (2004), Elsevier Science Publishers.

• J. Szczepanski, J. M. Amigo, T. Michalek, L. Kocarev, „Cryptographically secure substitutions based on the approximation of mixing maps”, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications - Regular papers, 52 (2): 443-453 (2005), Institute of Electrical and Electronics Engineers Inc. USA.

• L. Kocarev, J. Szczepanski, „Finite-space Lyapunov exponents and pseudo-chaos”, Physical Review Letters, 93, 234101, (2004), American Physical Society.

• J. M. Amigo, J. Szczepanski, L. Kocarev, „A chaos-based approach to the design of cryptographically secure substitutions”, Physics Letters A, 343: 55-60 (2005), Elsevier Science Publishers.

• L. Kocarev, J. Szczepanski, J. M. Amigo, I. Tomovski, „Discrete Chaos - Part I: Theory”, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications - Regular papers, 53 (6): 1300-1309 (2006), Institute of Electrical and Electronics Engineers Inc. USA.

• J. M. Amigo, L. Kocarev, J. Szczepanski, „Order patterns and chaos”, Physics Letters A, 355 (1): 27-31 (2006), Elsevier Science Publishers.

• J. M. Amigo, L. Kocarev, J. Szczepanski, „Discrete Lyapunov exponent and resistance to differential cryptanalysis”, IEEE Transactions on Circuits and Systems II, 54 (10): 882-886 (2007), Institute of Electrical and Electronics Engineers Inc. USA.

• J. M. Amigo, L. Kocarev, J. Szczepanski, „Theory and practice of chaotic cryptography”, Physics Letters A, 366 (3): 211-216 (2007), Elsevier Science Publishers.

• R. Nagarajan, J. Szczepanski, E. Wajnryb, „Interpreting non-random signatures in biomedical signals using Lempel-Ziv complexity”, Physica D, 237 (3): 359-364 (2008), Elsevier Science Publishers.

• J. M. Amigo, L. Kocarev, J. Szczepanski, „On some properties of the discrete Lyapunov exponent”, Physics Letters A, 372 (41): 6265-6268 (2008), Elsevier Science Publishers.

• J. Szczepanski, „On the distribution function of the complexity of finite sequences”, Information Sciences, 179 (9): 1217-1220 (2009), Elsevier Science Publishers.

• J. Szczepanski, M. M. Arnold, E. Wajnryb, J. M. Amigo, M. V. Sanchez-Vives, „Mutual information and redundancy in spontaneous communication between cortical neurons”, Biological Cybernetics, 104 (3): 161-174 (2011), Springer.

• B. Paprocki, J. Szczepanski, „Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics”, BioSystems, 105: 62-72 (2011), Elsevier Science Publishers.

• M. M. Arnold, J. Szczepanski, N. Montejo, J. M. Amigo, E. Wajnryb, M. V. Sanchez-Vives, „Information content in cortical spike trains during brain state transitions”, Journal of Sleep Research, 22: 13-21 (2013), Wiley.

• B. Paprocki, J. Szczepanski, „How do the amplitude fluctuations affect the neuronal transmission efficiency”, Neurocomputing, 104: pp. 50-56, (2013), Elsevier Science Publishers.

• B. Paprocki, J. Szczepanski, D. Kolbuk, „Information transmission efficiency in neuronal communication systems”, BMC Neuroscience, 14 (Suppl 1): P217 (2013), BioMed Central Ltd.

• B. Paprocki, J. Szczepanski, „Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspects”, Brain Research, 1536: pp. 135-143, (2013), Elsevier Science Publishers.

• A. Pregowska, J. Szczepanski, E. Wajnryb, „Mutual information against correlations in binary communication channels”, BMC Neuroscience, 16: pp. 1-7 (2015), BioMed Central Ltd.

• A. Pregowska, J. Szczepanski, E. Wajnryb, „Temporal code versus rate code for binary Information Sources”, Neurocomputing, 216: pp. 756-762, (2016), Elsevier Science Publishers.

• A. Pregowska, A. Casti, E. Kaplan, E. Wajnryb, J. Szczepanski, „Information processing in the LGN: a comparison of neural codes and cell types”, Biological Cybernetics, 113: pp. 453-464, (2019), Springer.

• A. Pregowska, K. Proniewska, P. van Dam, J. Szczepanski, „Using Lempel-Ziv complexity as effective classification toll of the sleep-related breathing disorders”, Computer Methods and Programs in Biomedicine, 182 (2019) 105052 , Elsevier Science Publishers.

• A. Pregowska, E. Kaplan, J. Szczepanski, „How far can neural correlations reduce uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli processes”, International Journal of Neural Systems, Vol. 29, No. 8 (2019) 1950003, World Scientific Publishing.

• S. Blonski, A. Pregowska, T. Michalek, J. Szczepanski, „The use of Lempel-Ziv complexity to analyze turbulence and flow randomness based on velocity fluctuations”, Bulletin of the Polish Academy of Sciences, Techn., V. 67, No. 5, 957-962, (2019).

• B. Paprocki, A. Pregowska, J. Szczepanski, „Optimizing information processing in brain-inspired neural networks”, Bulletin of the Polish Academy of Sciences, Techn., (accepted), (2019).

Last updated: November 9, 2019