Sergey Lyshevski Headshot

Sergey Lyshevski

Professor

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

585-475-4370
Office Location
Office Mailing Address
Rochester Institute of Technology Rochester, NY 14623

Sergey Lyshevski

Professor

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

Education

MS, Ph.D., Kiev Polytechnic Institute (Ukraine)

Bio

Dr. Lyshevski received M.S. and Ph.D. in Electrical Engineering from Kiev Polytechnic Institute in 1980 and 1987. From 1980 to 1993 Dr. Lyshevski held research, faculty and administrative positions at the Department of Electrical Engineering, Kiev Polytechnic Institute and the Academy of Sciences of Ukraine. From 1989 to 1993 he was the Microelectronic and Electromechanical Systems Division Head at the Academy of Sciences of Ukraine. From 1993 to 2002 Dr. Lyshevski was an Associate Professor of Electrical and Computer Engineering in Purdue School of Engineering IUPUI. In 2002 he joined Rochester Institute of Technology as a professor of Electrical Engineering. Dr. Lyshevski served as a Professor of Electrical and Computer Engineering in the US Department of State Fulbright program. Dr. Lyshevski is a Full Professor Faculty Fellow at the Air Force Research Laboratories, US Naval Surface Warfare Center, and US Naval Undersea Warfare Center.

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585-475-4370

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Published Conference Proceedings
Lyshevski, S. E., et al. "Probabilistic Models of Information Management in Cyber-Physical Systems." Proceedings of the IEEE Conference on Information Technology and Management Science. Ed. IEEE. Riga, Latvia: IEEE, 2021. Print.
Lyshevski, Sergey E. and Michael Stearns. "Analysis of Multi-Degree-of-Freedom Inertial Sensors for Cyber-Physical Systems." Proceedings of the IEEE International Scientific Conference on Information Technology and Management Science. Ed. IEEE. Riga, Latvia: IEEE, 2021. Print.
Lyshevski, S. E., A. Aved, and P. Morrone. "Information-centric cyberattack analysis and spatiotemporal networks applied to cyber-physical systems." Proceedings of the IEEE Microwave Theory and Techniques in Wireless Communication. Ed. IEEE. Riga, Latvia: IEEE, 2020. Print.
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Full Length Book
Editor, Sergey E. Lyshevski,. Handbook on Nanoengineering, Quantum Science, and, Nanotechnology. Boca Raton, FL: CRC Press, 2019. Print.
Editor-in-chief, S. E. Lyshevski,. Encyclopedia of Nanoscience and Nanotechnology. 3rd on-line ed. Boca Raton, FL: CRC, 2018. Web.
Book Chapter
Lyshevski, Sergey E. and Ivan Puchades. "Microelectronics and Photonics in Quantum Processing and Communication." Nanoengineering, Quantum Science, and, Nanotechnology Handbook. Boca Raton, FL: CRC Press, 2019. 467-500. Print.
Martirosyan, Karen, M. Hobosyan, and Sergey E. Lyshevski. "Integrated Micropropulsion Systems With Nanoenergetic Propellants." Nanomaterials in Rocket Propulsion Systems. New York, New York: Elsevier, 2019. 403-420. Print.
Journal Paper
Martirosyan, K. S., et al. "An Integrated Multidisciplinary Nanoscience Concentration Certificate Program for STEM Education." Nano Education 5. (2013): 1-10. Print.
Peresada, S., et al. "Identification of Stator and Rotor Resistances of Induction Motors." Electronic and Computer Systems 85. 9 (2013): 7-15. Print.
Yanushkevich, S. N, et al. "Belief Trees and Networks for Biometric Applications." Journal of Soft Computing 15. 1 (2011): 3-11. Print.
Invited Keynote/Presentation
Lyshevski, S. E. "Nano and Molecular Technologies in Microelectronics, MEMS and Electronic Systems." Proc. IEEE Conf. Electronics and Nanotechnologies. IEEE. Kiev, Ukraine. 16 Apr. 2013. Address.

Currently Teaching

EEEE-499
0 Credits
One semester of paid work experience in electrical engineering.
EEEE-583
3 Credits
Fundamental principles of electromagnetic transducers are covered. Sensors and actuators are studied. Fundamental, applied and experimental studies and learning are focused on high-performance electromechanical motion devices, such as permanent-magnet DC, synchronous and stepper motors. Topics in power electronics and control of electromechanical systems are studied. High-performance MATLAB environment is used to simulate, analyze and control mechatronic systems. Applications of digital signal processors and microcontrollers in mechatronic systems are introduced. Case studies are covered.
EEEE-661
3 Credits
This course deals with a complete description of physical systems its analysis and design of controllers to achieve desired performance. The emphasis in the course will be on continuous linear systems. Major topics are: state space representation of physical systems, similarities/differences between input-output representation (transfer function) and state spate representations, conversion of one form to the other, minimal realization, solution of state equations, controllability, observability, design of control systems for desired performance, state feedback, observers and their realizations.
EEEE-683
3 Credits
The advanced topics on analysis, control and optimization of high-performance electromechanical systems are covered. Studies and learning are focused on electromechanical motion devices, amplifiers, controllers-drivers, multi-degree-of-freedom sensors, data acquisition, and, control systems. High-fidelity modeling, data-intensive simulations and experimental studies are pertain to industrial control systems as well as supervisory control and data acquisition systems. Novel sensing technologies, analog and digital control algorithms, and optimal design schemes are considered with applications to industrial platforms. Case studies include aerial, automotive, energy, robotic and servo systems.
EEEE-707
3 Credits
The course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. The course begins with a pertinent review of matrices, transformations, partitions, determinants and various techniques to solve linear equations. It then transitions to linear vector spaces, basis definitions, normed and inner vector spaces, orthogonality, eigenvalues/eigenvectors, diagonalization, state space solutions and optimization. Applications of linear algebra to engineering problems are examined throughout the course. Topics include: Matrix algebra and elementary matrix operations, special matrices, determinants, matrix inversion, null and column spaces, linear vector spaces and subspaces, span, basis/change of basis, normed and inner vector spaces, projections, Gram-Schmidt/QR factorizations, eigenvalues and eigenvectors, matrix diagonalization, Jordan canonical forms, singular value decomposition, functions of matrices, matrix polynomials and Cayley-Hamilton theorem, state-space modeling, optimization techniques, least squares technique, total least squares, and numerical techniques. Electrical engineering applications will be discussed throughout the course.
ENGR-707
3 Credits
This course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. An intensive review of linear and nonlinear ordinary differential equations and Laplace transforms is provided. Laplace transform methods are extended to boundary-value problems and applications to control theory are discussed. Problem solving efficiency is stressed, and to this end, the utility of various available techniques are contrasted. The frequency response of ordinary differential equations is discussed extensively. Applications of linear algebra are examined, including the use of eigenvalue analysis in the solution of linear systems and in multivariate optimization. An introduction to Fourier analysis is also provided.

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