Dr. P. A. Ramamoorthy

Dr. Ramamoorthy obtained his B.S. and M.S. (by research) both in Electrical Engineering from the Guindy Engineering College & Indian Institute of Technology, Madras, India in 1971 and 1974 respectively. He obtained his Ph.D. degree in Electrical Engineering from the University of Calgary, Canada in 1977 specializing in digital signal processing and applications. From 1977-79, he worked as a post-doctoral fellow at the University of Calgary. He was a faculty member at the Western New England College, Springfield, MA, from 1979-81; and at the Wayne State University, Detroit, MI, from 1981-82. In 1982, he joined the University of Cincinnati where he is currently a Professor of Electrical and Computer Engineering. He was awarded the Distinguished Progress in Research Excellence Award by the Department of Electrical & Computer Engineering in 1988. He worked as the Program Director for Circuits & Signal Processing at National Science Foundation from Jan. 1989- Dec. 1990. The job involved managing and monitoring research grants ($ 4M/year given to faculty at various U.S. universities), inter-agency agreements, to ensure NSF commitments to/and by NSF; evaluating proposals, program content; specifying program objectives; identifying new program thrusts; outlining a sequence for program development and execution. He has had consulting & or visiting positions at a number of companies and federal laboratories such as Avionics Lab, Wright Patterson Air Base, USAF, Dayton, Ohio, Rome Air Development Center, USAF, Rome, NY, NASA Lewis Research Center, Cleveland, Ohio, and M.B. Electronics.

Dr. Ramamoorthy has worked on a number of research topics and consulted for a number of organizations. He has contributed more than 80+ technical papers in the areas of digital signal processing, VLSI structures for signal processing and analysis, neural networks, fuzzy logic, optical computing, and biomedical signal processing. He has graduated 8 Ph.D. and 15+ M.S. students. Dr. Ramamoorthy is a senior member of the IEEE.


Research Interests

Dr. Ramamoorthy's current areas of research interests include nonlinear dynamic systems and self-organizing systems (including neuro-fuzzy architectures) and applications to control and signal processing, and VLSI architectures for real-time applications. He developed a new paradigm for the design of nonlinear dynamical system and adaptive or intelligent systems and is written a research monograph/text-book entitled "Nonlinear Dynamical Systems & Adaptive Systems Design: A Building Block Approach". It is expected that this new paradigm will revolutionize the way we look at nonlinear dynamics and its application to a number of areas.


Teaching Interests & Expertise

Dr. Ramamoorthy has interest in / taught a wide range of UG & graduate level courses in both Electrical & Comp. Engineering (Circuit Analysis, Digital Design, Computer Architecture & Organization, Microprocessor Systems, VLSI Design, Digital Signal, Speech, and Image Processing, Analog & Digital Communication, Nonlinear & Adaptive Systems, Optical Computing and Neural Networks). He played a key role in establishing an ABET accredited program in Comp. Engineering at UC & WNEC; Was Group Leader for Graduate Program in Signal Processing and Communications, Graduate Program Coordinator for Computer Engineering, and Graduate Program Director. Currently he serves as an Associate Editor for the Journal of Dynamics of Continuous, Discrete and Impulsive Systems.


Dr. Ramamoorthy is the director of the Nonlinear and Adaptive/ Intelligent Systems Lab.


Biographical Sketch


Books and Book Chapters

  1. P.A. Ramamoorthy, Nonlinear and Adaptive (Intelligent) Systems: Analysis, Modeling and Design – A Building Block Approach, Textbook / Research Monograph, Dec. 2002.
  2. P.A. Ramamoorthy and L.T. Bruton, 1986_IEEE_Press_Book_Paper, Design of stable two-dimensional analogue and digital filters with applications in image processing," Selected Papers in Multidimensional Digital Signal Processing, IEEE Press, 1986.
  3. P.A. Ramamoorthy and L.T. Bruton, Textbook - 2D DSP, Design of Two-Dimensional Recursive Filters," Chapter 3 in Two-Dimensional Digital Signal Processing, T.S. Huang ed., Springer-Verlag, Jan. 1981.


Recent Publications

A. Nonlinear/Adaptive/Intelligent Systems Design

  1. P.A. Ramamoorthy, “Adaptive Systems: A Building Block Approach & Application in Control of Uncertain Mechanical Systems Subjected to Disturbance,” To be submitted for publication.
  2. P.A. Ramamoorthy, “Nonlinear and Time-varying Systems Analysis, Design, & applications: A Building Block Approach,” For submission to IEEE Circuits and Systems Magazine.
  3. P.A. Ramamoorthy and Nithya Gopalarathinam, "Intelligent Control of Model Helicopters - A Building Block approach," MidWest Symp. C & S, Aug. 2005.
  4. P.A. Ramamoorthy and Nithya Gopalarathinam, "Nonlinear and Adaptive Signal Estimation," MidWest Symp. C & S, Aug. 2005.
  5. P.A. Ramamoorthy, “Chaotic Dynamics, Chaos Synchronization, State Estimation, and Interpretation using Electrical Elements & Circuits,” Asia-Pacific Workshop on Chaos Control and Synchronization, July, 2004, Melbourne, Australia. Also in Dynamics of Continuous, Discrete and Impulsive Systems, Oct. 2005.
  6. P.A. Ramamoorthy, “A Building Block Approach for Self-Synchronous Chaotic System (SES) Design," Dynamics of Continuous, Discrete and Impulsive Systems, Series B, pp. 94-103, Nov. 2004.
  7. P.A. Ramamoorthy, “A Building Block Approach For Designing Self-Synchronous Chaotic Systems and Application in Secure Communication," Second Asia-Pacific Workshop on Chaos Control and Synchronization, Nov. 6-7, 2003, Shanghai, China.
  8. P.A. Ramamoorthy, Nonlinear and Self-learning systems, A Building Block Approach, A Textbook / Research Monograph, PDF version available for download Dec. 2002.
  9. P.A. Ramamoorthy, Nonlinear Signal Processor Design: A Building Block Approach, Proc. IEEE Intl. Symp. Circuits & Systems, 1999.
  10. P.A. Ramamoorthy, An Unified Approach for Designing Intelligent System Architectures, International. Conf. Intelligent Systems, Aug. 1995.
  11. P.A. Ramamoorthy, "An unified approach for designing nonlinear dynamical systems (including neural & fuzzy systems) and self-learning systems," Plenary address, Proc. Intl. Fuzzy Systems and Intelligent Controls Conf. , 1994.
  12. P.A. Ramamoorthy, Shi Zhang, Chen Fubao, & D. Ramachandran, "A new paradigm for the design of nonlinear dynamical systems & self-learning systems, Proceedings Intl. Symp. Intelligent Control, Aug. 25-27, 1993.
  13. P.A. Ramamoorthy and A. Zavalijevski, "Nonlinear Signal Processing Vs Kalman Filtering:” Proceedings IEEE Intl. Symp. Circuits and Systems, May 3-6, 1993.
  14. P.A. Ramamoorthy, "Design of recurrent neural./fuzzy systems: A building block approach," Plenary address, Proc. Artificial neural networks in Engineering, 1993.

B. Optical Signal Processing and Computing

  1. " P. Pace, P.A. Ramamoorthy and D. Styer, "A preprocessing architecture for resolution enhancement in high-speed analog-to-digital converters," IEEE Trans. Circuits & Systems, II: Analog & Digital Signal Processing, 1994
  2. P.A. Ramamoorthy and Susan Antony, "Optical MSD adder using polarization coded symbolic substitution," Optical Engineering " 1987

C. Neural Networks

  1. P.A. Ramamoorthy, "Recurrent neural architectures from passive nonlinear electrical building blocks," IEEE Intl. Conf. Neural Networks, 1994.
  2. P.A. Ramamoorthy and G. Govind, "Signal Modeling and Prediction Using Neural Networks," Abstract in Supplement to Journal of Neural Networks & INNS 88, 1988.

D. Fuzzy Logic Controllers

  1. P.A. Ramamoorthy, "Design of stable recurrent/feedback fuzzy logic controllers," Proc. IEEE Intl. Conf. Fuzzy Systems, 1994.
  2. P.A. Ramamoorthy and S. Huang, " Fuzzy Expert Systems Vs Neural Networks - Truck Backer-Upper Control Revisited," Proc. IEEE Intl. Conf. on Systems Engineering., 1991.

E. VLSI Architectures for Signal/Image Processing

  1. P.A. Ramamoorthy and B. Potu, "Bit-Serial VLSI Implementation of Vector Quantizer for Real-time Image Coding," IEEE Trans. Circuits and Systems, Oct. 1989.
  2. P.A. Ramamoorthy, "A static re-configurable systolic architecture for high speed digital signal processing," Proc. IEEE Military Communications Conference, 1986
  3. P.A. Ramamoorthy, "Systolic architectures based on barrel shifters for real-time signal and image processing," Proc. Intl. Conf. Acoustics, Speech and Signal Processing, 1985

F. Digital Signal Processing (modeling, adaptive, applications)

  1. P.A. Ramamoorthy and A. Zavalijevski, "Nonlinear Signal Processing Vs Kalman Filtering," Proceedings IEEE Intl. Symp. Circuits and Systems, 1993.
  2. P.A. Ramamoorthy and V. Iyer, "Adaptive filtering in biological signal processing," Invited paper, Critical Reviews in Biomedical Engg., CRC Press, Inc., 1990.

G. Multi Dimensional Digital Signal Processing.

  1. P.A. Ramamoorthy and L.T. Bruton, "Design of stable Two-Dimensional Analog and Digital Filters with Applications in Image Processing," Selected Papers in Multidimensional Digital Signal Processing, IEEE Press, 1986.
  2. P.A. Ramamoorthy and L.T. Bruton, "Design of Two-Dimensional Recursive Filters," Chapter 3 in Two-Dimensional Digital Signal Processing, Edited by T.S. Huang, Springer-Verlag, 1981.

H. Active RC Networks

  1. P.A. Ramamoorthy, V. Thulasiraman and V.G.K. Murti, "Active RC n-port network synthesis using nullators and norators," IEEE Trans. on Circuits and systems, 1974.

J. Filter Transfer Function Approximation.

  1. L.T. Bruton and P.A. Ramamoorthy, "Maximally flat low pass transfer function synthesis using continuous and discrete filters," IEEE Trans. on Circuits and Systems, 1976.



  1. Girish Govind, "A nonlinear architecture for real-time system identification and control," Ph.D. Dissertation, March 1993, Datalytics, Inc.
  2. Song Huang, "Fusion of neural network and fuzzy expert system paradigms and application to time-critical problems," Ph.D. Dissertation, Nov. 1992, U.S. Air.
  3. Phillip Pace, "Novel architectures for optical signal processing," Ph.D. Dissertation, July 1990, Naval Post-Graduate School.
  4. Brahmaji Potu, "VLSI implementation of vector quantization for real-time image compression," Ph.D. Dissertation, Feb. 1990, IBM, Austin, Texas.
  5. Sharam Seyed, "Fuzzy rule based expert systems" Ph.D. Dissertation, March 1989.
  6. Vijay Iyer, "Methods for detection, analysis and characterization of Lung sounds," Ph.D. Dissertation, June 1988, Criticare Sys. Inc. WI.
  7. Susamma Antony, "Systemic considerations in optical computing," Ph.D. Dissertation, March 1988, Associate Prof. Cal State U.
  8. Tau Chen, "Barrel shifter based systolic arrays for signal processing," Ph.D. Dissertation, August 1985; Digital Equipment Corporation.


  1. Nithya Manickam, Nonlinear and Adaptive control of Model Helicopters, M.S. Thesis, 2006.
  2. Chen Jian, The Design of Nonlinear Time Varying Systems and Their Synchronized Systems for Application in Secure Digital Communication. M.S. Thesis, 2004.
  3. Sen Sumit, Design of Nonlinear Filters for Signal Estimation and Comparison With Kalman Filters M.S. Thesis, 2003.
  4. Sudha Srikantaswamy, "Nonlinear and Adaptive Control using passive nonlinear & time-varying Circuit architectures," M.S. Thesis.
  5. Dev Ramachadran, "Nonlinear Dynamics and Multimedia," M.S. Thesis.
  6. Victor Iseli, "Nonlinear Operations in Signal Processing," M.S. Thesis.
  7. Yiwei Hu, "Nonlinear Dynamic Control based on Nonlinear Passive Network Theory," M.S. Thesis, Feb. 1995, Compaq Corp.
  8. Kevin Kanter, "Design and model simulation of a fuzzy dynamic feedback control system," M.S. Thesis, July 1994, General Electric, Co.
  9. Philip J. Haney, "A neuro-fuzzy architecture for time- series forecasting and multi-objective decision-making with an application to financial markets, Sept. 1992, Arvin Industries.
  10. Mark Dapore, "New Digital Signal Processing Techniques for telemetry data," M.S. Thesis. Sept. 1991. Cincinnati Electronics
  11. Tom P. Kudrycki, "Neural Network Implementation of a medical diagnosis expert system," M.S. Thesis, Sept. 1988, AT & T Bell Labs.
  12. Henning Schulz-Rinne, "Multi-level vector quantization for speech coding," M.S. Thesis, Sept. 1987. Doctoral Student at U. Mass.
  13. Zarin Shokrani, M.S., December, 1984., Cincinnati Software, Inc.
  14. Mark Hershey, "Design of high speed digital filters with no multipliers," M.S. Thesis, August 1985, General Electric Co.
  15. Ting Ling Juang, "A study towards engineering manufacturing interface," M.S. Thesis, December 1984, General Electric Co.
  16. William Rothfuss , "Signal compression using a modified LPC method based on an approximate version of residual error phase, "M.S. Thesis, June 1984, General Electric Co.
  17. Michael Haddad, "Adder based systolic architecture for digital signal processing," , M.S. Thesis, March 1984, IBM
  18. Mark D, Rogers, "A powerful interface for the zonic 6080 FFT analyzer,". M.S. Thesis December 1983

Publications Folder

  • Publications_folder

      Last modified: Aug 18, 2009 by Prof. Rama