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Portland State University
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Karl Mathia

Karl Mathia

Ph.D. Electrical and Computer Engineering, Portland State University, Portland, Oregon, 1996.
Diplom-Ingenieur, Electrical Engineering, Technical University Munich, Germany, 1989. (similar MS EE)

Email: kmathia at mathia dot com

Research Interests:

Nonlinear and learning control systems; system identification; neural networks; formation control; cleanroom robotics

Biography:

Dr. Karl Mathia has over fifteen years of experience in R&D, engineering management and product management in government-funded research as well as industrial semiconductor automation.  He is currently with Renaissance Sciences Corporation and previously was with Newport Corporation, Brooks Automation, PRI Automation, Equipe Technologies, and Accurate Automation Corporation, where he held engineering and senior management positions. His areas of expertise are in cleanroom robotics, semiconductor tool automation, systems engineering methodology, and control systems. He established and managed multi-disciplinary engineering groups in these disciplines. He published numerous articles in the area of automation, controls and intelligent systems, and chaired and presented at technical conferences. He co-authored two patent disclosures, "Water Carrier Adapter" and "Method for Use and Sensor Fusion Apparatus and Method".

Publications:

  • K. Mathia, "Grey-Box System Identification with Neural Network,"  in Proc. ANNIE 2005, Intelligent Engineering Systems Through Artificial Neural Networks, C.H. Dagli et al. (Eds.), Vol. 15, ASME Press, New York, New York, 2005. (PDF, 197kB)

  • K. Mathia, "Analyzing Finite Time-Series with Dedicated Neural Network Hardware," in Proc. ANNIE 2005, Intelligent Engineering Systems Through Artificial Neural Networks, C.H. Dagli et al. (Eds.), Vol. 14, pp. 885-891, ASME Press, New York, New York, 2004. (PDF, 320kB)

  • K. Mathia, "A Variable Structure Learning Algorithm for Multilayer Perceptrons,"  in Proc. ANNIE 2005, Intelligent Engineering Systems Through Artificial Neural Networks, C.H. Dagli et al. (Eds.), Vol. 14, pp. 885-891, ASME Press, New York, New York, 2004. (PDF, 287kB)

  • K. Mathia and J. Clark, "On Neural Network Hardware and Programming Paradigms," Proc. International Joint Conference on Neural Networks 2002 (IJCNN'02), Honolulu, Hawaii, 12-17 May 2002. (PDF, 229kB)

  • K. Mathia, and M. Aalund, "Full-On for the Information Age," European Semiconductor, March 2002. (PDF, 267kB)

  • M. Aalund, and K. Mathia, "Emerging Trends in Fab Automation," Silicon Futures / European Semiconductor, December 2001. (PDF, 198kB)

  • G. Lendaris, K. Mathia, and R. Saeks, "Linear Hopfield Networks and Constrained Optimization," IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 1, February 1999. (PDF, 330kB)

  • A.J. Maren, R.M. Akita, D. Donovan, K. Mathia, and J. Davis, "Biological Sensor Fusion Inspires Novel System Design," Proceedings of the Joint Service Combat Identification Systems Conference 1997 (CISC-97), April 15-17, San Diego, Calif., 1997. (PDF, 30kB)

  • K. Priddy, K. Mathia, T. Robinson, and R. Pap, "Application of Highly Parallel Computing Hardware to Pattern Recognition Problems," Proceedings of SPIE 1997, Orlando, Florida, 1997. (PDF, 326kB)

  • K. Mathia, Solutions to Linear Equations and a Class of Nonlinear Equations Using Recurrent Neural Network, Ph.D. Dissertation, Portland State University, Portland, Oregon, May 1996. (PDF, 2144kB)

  • C. Cox, K. Mathia, J. Edwards, and R. Akita, "Modern Adaptive Control With Neural Networks," Proceedings International Conference on Neural Netwok Information Processing ( ICONIP'96), Hong Kong, September 1996. (PDF, 94kB)

  • G. Lendaris and K. Mathia, "Efficient Numerical Inversion Using Multilayer Feedforward Neural Networks," Proceedings World Congress on Neural Networks 1996 (WCNN'96), San Diego, Calif., September 1996. (PDF, 88kB)

  • K. Mathia, J. Clark, B. Colbert, and R. Saeks, "Benchmarking an MIMD Neural Network Processor," Proceedings World Congress on Neural Networks 1996 (WCNN'96), San Diego, Calif., September 1996. (PDF, 76kB)

  • C. Cox, K. Mathia, and R. Saeks, "Learning Flight Control and LoFLYTE," Proc. of WESCON/95, San Francisco, pp. 720-723, November 1995. (PDF, 231kB)

  • K. Mathia and K. Priddy, "Real-Time Geometrical Approximation of Flexible Structures using Neural Networks," Proceedings IEEE Conf. on Systems, Men, and Cybernetics, Vol. III, pp. 2099-2102, Vancouver B.C., September 1995. (PDF, 70kB)

  • K. Mathia and R. Saeks, "Solving Nonlinear Equations Using Recurrent Neural Networks," Proc. of the World Congress on Neural Networks 1995, Vol. 1, pp. 76-79, Washington, D.C., July 1995. (PDF, 78kB)

  • G. Lendaris and K. Mathia, "Prestructuring ANNs via A Priori Knowledge," Proceedings SPIE 1995, Orlando, Florida, Vol. 2492, Part 1, p. 389, April 1995. (PDF, 24kB)

  • T. Robinson, M. Bodruzzaman, K. Priddy, and K. Mathia, "Real-Time Stable Adaptive Control Implementation Using a Neural Networks Processor," Proceedings SPIE 1995, Orlando, Florida, Vol. 2492, Part 1, pp. 124-129, April 1995. (PDF, 239kB)

  • K. Mathia, R. Saeks, and G. Lendaris, "Linear Hopfield Networks, Inverse Kinematics and Constrained Optimization," Proc. IEEE Conference on Systems, Man and Cybernetics, San Antonio, Texas, pp. 1269-1273, October 1994. (PDF, 567kB)

  • C. Cox, K. Priddy, K. Mathia, R. Saeks, and R. Pap, "Hardware Implementation of a Semi-Autonomous Robotic Neurocontroller," Proceedings U.S. Navy SBIR Conference, Arlington, Virginia, pp. 171-176, June 1994. (PDF, 254kB)

  • K. Mathia and R. Saeks, "Inverse Kinematics via Linear Dynamic Networks," Proceedings World Congress on Neural Networks 1994 (WCNN'94), San Diego, Calif., Vol. 2, pp. 47-53, June 1994. (PDF, 79kB)

  • G. Lendaris and K. Mathia, "Using A Priori Knowledge to Prestructure ANNs," Australian Journal of Intelligent Information Processing Systems, Vol. 1, No. 1, pp. 25-30, May 1994. (PDF, 81kB)

  • G. Lendaris and K. Mathia, "On Prestructuring ANNs Using A Priori Knowledge," Proceedings of the World Congress on Neural Networks (WCNN'94), San Diego, Calif., Vol. 3, pp. 319-324, June 1994. (PDF, 53kB)

  • C. Cox, J. Edwards, R. Pap, and K. Mathia, "Adaptive Semi-Autonomous Robotic Neurocontroller," Proceedins SPIE 1994, pp. 440-449, Orlando, Florida, April 1994. (PDF, 152kB)

  • G. Lendaris, M. Zwick, and K. Mathia, "On Matching Network Structure to Problem Domain Structure," Proc. World Congress on Neural Networks 1993, Vol. 3, pp. 488-493, Portland, Oregon, July 1993. (PDF, 97kB)

  • K. Mathia, Real-Time Fourier Transform Using Vector Signal Processors, Technical Report (in German), Technical University of Munich, Electrical Engineering Dept., 1989.

Last modified Sunday, 4 June 2006