Welcome to Leon Reznik's Homepage

I am now with the Department of Computer Science at Rochester Institute of Technology, Rochester, NY.

You can find me in Room 3-521, Golisano Hall (Building 70),  or you can contact me by means given here Please, see my schedule this quarter.

Previously I worked at the Department of Computer Science, University of Texas at El Paso and School of Communications and Informatics at Victoria University, Melbourne, Australia.

j0254494.gif (19249 bytes) We continued our collaboration (see below) on data quality assessment in cyber-physical data acquisition and control systems with my colleagues Greg Timms, Paolo de Souza from Tasmanian Information and Communication Centre, CSIRO, Australia that resulted in a new paper G.P. Timms, P.A. de Souza, Jr., L. Reznik and D. V. Smith Automated Data Quality Assessment of Marine Sensors, Sensors 2011, 11(10), p.9589-9602

Also, I presented a more generic approach to the data quality assessment to the 2012 IEEE Instrumentation and Measurement Conference. See L.Reznik Integral Instrumentation Data Quality Evaluation: the Way to Enhance Safety, Security, and Environment Impact, 2012 IEEE International Instrumentation and Measurement Technology Conference, Graz, Austria, May 13-16, 2012, IEEE, 2012, pp. 2138 - 2143 in IEEExplore on-line library (you should have an access to IEEExplore).

Cognition is a fundamental feature of natural intelligence, which a modern technology has not yet been able to reproduce in full capacity. Sensor networks provide a new technological support for a substantial increase in an amount and quality of information that might be collected and communicated in complex adaptive systems. Their application may significantly raise the degree of intelligence in system design and implementation into the levels where effects of cognition will start kicking in. The paper, which we just published in IEEE SENSORS Journal, with my students Greg Von Pless (BS/MS class of 2007) and Tay Karim (BS/MS class of 2006) describes the results of an empirical study aiming to demonstrate that a cognition ability may be treated as a generic sensor network feature. See L. Reznik, G. Von Pless, and T.Karim Distributed Neural Networks for Signal Change Detection: On the Way to Cognition in Sensor Networks, IEEE Sensors Journal, vol.11, issue 3, March 2011 . It is already available in IEEExplore on-line library (you should have an access to IEEExplore).

With my students Mike J. Adams (BS/MS class of 2008) and Brian Woodard (BS/MS class of 2009) we have published a paper that improves neural network based intelligent design of intrusion detection systems by dynamically modifying them with genetic algorithms. This approach allows to optimize an intrusion detection based not on performance only but also on a resource consumption. See L. Reznik, M. J. Adams, and B. Woodard Intelligent Intrusion Detection Based on Genetically Tuned Artificial Neural Networks, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.14, No.6 pp. 708-713, 2010 . It is already available in this Japanese journal on-line library.

An application of intelligent techniques in measurement result processing is discussed in our recent paper G.N.Solopchenko, K.K. Semenov, V.Kreinovich and L.Reznik Measurement's Result and its Error as Fuzzy Variables: Background and Perspectives published in Key Engineering Materials, vol. 437, May 2010, pp 487-491 journal.

How to make sensor networks and systems communicate not only the data they collect but also automatically calculate and provide some characteristics of these data quality? My colleagues Greg Timms, Paolo de Souza from Tasmanian Information and Communication Centre, CSIRO, Australia and myself answer this question in the paper G.P. Timms, P.A. de Souza, L. Reznik Automated assessment of data quality in marine sensor networks, IEEE International Conference OCEANS 2010 IEEE – Sydney, Australia, 24-27 May 2010. It is available in IEEE Xplore library.

Another paper on intelligent sensor networks authored by my students Jody Podpora (class of 2006), Greg Von Pless (class of 2007) and myself was published in IEEE SENSORS Journal, see J.Podpora, L. Reznik, G. Von Pless Intelligent Real-Time Adaptation for Power Efficiency in Sensor Networks, IEEE Sensors Journal, vol.8, issue 12, December 2008, pp.2066-2073 . It is available in IEEExplore on-line library (you should have an access to IEEExplore).

Our paper L.Reznik and V.Kreinovich "Fuzzy Prediction Models in Measurement" is published in IEEE Transactions on Fuzzy Systems, volume 16, No.4, August 2008, pp. 851-862 . It is available on-line in IEEExplore library (you should have an access right to IEEExplore)

My students Dima Novikov (class of 2006), Roman Yampolskiy (class of 2005) and myself published a paper on intrusion detection. D. Novikov, R. V. Yampolskiy, L. Reznik Traffic Analysis Based Identification of Attacks. International Journal of Computer Science & Applications (IJCSA), vol. 5, Issue 2, 2008, pp.69-88 It is already available on-line in IJCSA repository

Wiley and Sons just released Handbook of Granular Computing /Ed: W. Pedrycz, A.Skowron and V.Kreinovich , Wiley and Sons , Chichester, England, 2008, ISBN 978-0-470-03554-2 On pp.517-532 you can find my new paper L. Reznik Measurement Theory and Uncertainty in Measurements: Application of Interval Analysis and Fuzzy Sets Methods