The Catholic University of America


Harold Szu, Ph.D.

Research Ordinary Professor

Biomedical Engineering

202-319-5181 phone

202-319-4287 fax



    • B.S., Physics, National Chen Kung University, Taiwan, 1963
    • M.S., Physics, University of Detroit, 1966
    • Ph.D., Mathematics/Physics, Rockefeller University, 1971

Biography in Brief:

Dr. Szu has been a champion of brain-style computing for 2 decades. He has served as founder, former president, and a current governor of International Neural Network Society (INNS). In 1997, he received the INNS D. Gabor Award “for outstanding contribution to neural network applications in information sciences and pioneer implementations of fast simulated annealing search,” and the Eduardo R. Caianiello Award in 1999 from the Italy Academy for “elucidating and implementing a chaotic neural net as a dynamic realization for fuzzy logic membership function.” Recently, he contributed to the unsupervised learning theory of the thermodynamic free energy of sensory pair for fusion. Because of this contribution, Dr. Szu is a foreign academician ofRussian Academy of Nonlinear Sciences in 1999 for the unsupervised learning based on a homeostasis constant cybernetic brain temperature. Recently, SPIE awarded him with the Nanoengineering Award and the Biomedical Wellness Engineering Award. He is also a fellow of numerous engineering societies including the American Institute of Medicine and Bioengineering (AIMBE), IEEE, Optical Society of America (OSA), International Society for Optics and Photonics (SPIE) and he has received numerous international recognition for his research. He has over 300 publications, book chapters, and presentations as well as 11 assigned patents.

Representative Publications:

  • H. Szu, et al., " OPTICAL DISPLAY FOR RADAR SENSING," Proc. of SPIE Vol. 9496, 2015.
  • H. Szu, P. Hoekstra, J. Landa, N. Vydelingum, "Neo-Angiogenesis Metabolic Biomarker of Tumor-genesis Tracking By Infrared Joystick Contact Imaging in Personalized Homecare System," Proc. of SPIE Vol. 9118, 2014.
  • H. Szu, "Iterative Restoration Algorithms for Nonlinear Constraint Computing," SPIE Vol. 634 Optical and Hybrid Computing (1986).
  • H. Szu, "Two-dimensional optical processing of one-dimensional
    acoustic data," OPTICAL ENGINEERING, Vol. 21, No. 5,1982.
  • H. Szu, S. C. Szu, and J. J. Hermans, "Fluctuation-dissipation theorems on the basis of hydrodynamic propagators," The Physics of Fluids, Vol. 17, No. 5, May 1974.
  • H. Szu, C. Hsu, P. Hoekstra, J. Beeney,"Biomedical Wellness Standoff Screening by Unsupervised Learning,” Proc. SPIE V. 7343, ICA etc. April 13-18, 2009.
  • C. Hsu, M. Viazanko, J. O'Looney, H. Szu, “Modular Biometric System,” Proc. SPIE V. 7343, ICA etc. April 13-18, 2009.
  • H. Szu, C. Hsu, K. Scheff, P. Hansen, J. Willey, “Wavelets and impulse radards,” Proc. SPIE V. 7343, ICA etc. April 13-18, 2009.
  • H. Szu, J. Jenkins, C. Hsu, S. Goehl, L. Miao, M. Cader, D. Benachenhou “Digging for Knowledge,” Proc. SPIE V. 7343, ICA etc. April 13-18, 2009.
  • H. Szu, Theories of Neural Networks Leading to Unsupervised Learning. IJCNN: 3116-3123, 2007.
  • L. Zhao, J.C.G. Cáceres, A.P.G. Damiance, H. Szu: Chaotic dynamics for multi-value content addressable memory. Neurocomputing 69(13-15): 1628-1636, 2006.
  • H. Szu, I. Kopriva “Unsupervised learning with stochastic gradient”, Neurocomputing, Vol 68: 130-160, 2005.
  • H. Szu, "Geometric Topology for Information Acquisition by means of smart sensors webs," Int’l J. Info. Acquisition, Vol. 1, No.1, pp.1-22, 2004.
  • H. Szu, C. Hsu, M.-K. Hsu, J. Zhou & S. Bao, “ Intelligent Network Computing augmented by Chotic Neural Networks, Blind Sources Separation & Digital Watermark,”Int’l J. of Info. Acquisition, Vol.1 No. 4, pp. 295-320, 2004.
  • H. Szu, Noel, S , Yim, J. Willey, J, Landa, J, " Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination,"Neural Networks Vol. 16: 907-914, 2003.
  • H. Szu, S. Noel, S.-B. Yim, J. Willey, J. Landa: Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination. Neural Networks 16(5-6): 907-914, 2003.
  • H. Szu, Pornchai Chanyagorn, I. Kopriva, "Sparse coding Blind Source Separation through Powerline," Neurocomputing, V. 48 , pp. 1015-1020, 2002.
  • H. Szu and I. Kopriva,” Constrained Equal A Priori Entropy for Unsupervised Remote Sensing,” IEEE Trans GSRS 2002.