Scholar count, his work has been cited in over 22,600 research papers and 400 textbooks. He was a mentor for over 160 graduate students and post-doctoral fellows. He motivated a generation of engineers in North America and around the world to take up careers in research and teaching in the areas of signal and image processing, telecommunications, multimedia, and biometrics. Telecommunications Professor Venetsanopoulos' early work dealt with the problem of optimal detection and signal design, to facilitate communication over purely random, general, linear, time-varying, very noisy, undersea acoustic channels. His results contributed to the improvement of SONAR systems for undersea communications over fading dispersive channels and was later applied to ionospheric and tropospheric channels. Subsequent publications focused on the issue of image and video compression and made contributions in the area of progressive image transmission (PIT). PIT refers to the coding of still images at increasing levels of precision. Through PIT, it is possible to expedite activities such as browsing through remote databases of images. Professor Venetsanopoulos developed and tested a number of first and second generation morphological pyramidal techniques, which achieved compression ratios of around 100:1 for good quality, lossy, still image transmission. He contributed to the study of vector quantization for lossy image compression and developed a number of hierarchical coding techniques for still images. Wavelet techniques for still image compression were also addressed by him, as well as fractal-based techniques for compressing and coding still images and video sequences. His later contributions in telecommunications were in the area of mobility management and he developed cost-effective algorithms for mobile terminal location and determination and WLAN positioning systems. This area has attracted interest for its applications in emergency communications, location-sensitive browsing, and resource allocation. Signal and image processing Professor Venetsanopoulos was one of the first Canadian researchers to make a contribution to the foundations of two-dimensional and multi-dimensional digital filtering. These techniques are widely used in image and video processing. His early contributions in these areas provided the basis for a variety of techniques that led to efficient two-dimensional filter design. In the eighties, his interest was focused on the area of nonlinear filters. Nonlinear filters are more complex than linear filters but allow additional flexibility and speed in complex applications. In the area of nonlinear filters, Professor Venetsanopoulos contributed theoretical results, including the introduction of new filter families. The "Nonlinear Order Statistics Filters" were a special case of