The statistical signal processing algorithms and numerical optimization methods pioneered by Alfred O. Hero, III have become essential components of sensor networks important to the development of the Internet of Things and have led to advances in medical imaging, wireless communications, multiagent distributed systems, and deep learning applications. His work on signal processing for distributed self-calibration and tracking in sensor networks has driven the explosion in wireless network localization technology and its applications to data-in-motion, personalized health, security, inventory control, and environmental monitoring. His development of the space-alternating generalized expectation-maximization (SAGE) algorithm has improved medical image reconstruction, and his averaged incremental gradient (AIG) algorithm has impacted tomographic imaging as well as machine learning.
An IEEE Fellow, Hero is the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, MI, USA.
The work of Alan Conrad Bovik has combined principles of visual neuroscience with those of video engineering, allowing him to create groundbreaking algorithms for modeling image texture, improving image appearance, and measuring video quality. He laid the foundations of modern visual quality measurement systems by conducting large-scale human studies of image and video quality and used them to create algorithms that accurately predict perceptual quality. These algorithms model the way the brain efficiently processes visual information, how distortions alter the statistics of videos, and how and to what degree humans perceive visual distortions. Today, his video quality measurement tools are used to monitor and control the quality of a substantial percentage of digital streaming videos transmitted via broadcast, satellite, the Internet, and the Cloud, allowing hundreds of millions of viewers daily to enjoy perceptually optimized viewing experiences. In 2015, he received a Primetime Engineering Emmy Award for his work on the globally popular Structural Similarity model, or SSIM.
An IEEE Fellow, Bovik is the Cockrell Family Regents Endowed Chair Professor at The University of Texas, Austin, TX, USA.
Peter Stoica's extensive contributions have impacted virtually every important subject of modern statistical signal processing. He has made seminal contributions to a broad area of theoretical topics. In particular he has been hailed for his pioneering contributions to array processing and direction-of-arrival estimation techniques and to multi-input multi-output radar. His influential scholarly texts, System Identification and Spectral Analysis of Signals, have been used worldwide to educate many generations of students, and his more recent books on wireless communications and sequence design have been invaluable references for researchers in the field. Throughout his life-long career he has also been a leader in bringing innovative signal processing techniques to a wide spectrum of important applications including radar, nuclear magnetic resonance, breast cancer diagnosis, wireless communications, sensor networks, and exo-planet search in astronomy.
An IEEE Fellow, Stoica is a Professor with the IT Dept at Uppsala University in Sweden as well as a Member of the European Academy of Sciences and the US National Academy of Engineering.
A “founding father” of multidimensional signal processing, Russell Mersereau has been a pioneer in developing the fundamental concepts, methodologies, and tools in sampling, representing, and processing digital signals of two and higher dimensions. His Multidimensional Signal Processing (Prentice-Hall, 1984) was the first textbook on this subject and remains the field’s definitive resource. His work on two-dimensional digital filtering, hexagonal sampling, and reconstruction of multidimensional signals from their projections has directly impacted diverse fields including crystallography, fluorescence microscopy, medical imaging, and robotics. He has helped fuel the multimedia revolution with technical contributions to video compression technologies and standards. Mersereau cofounded Atlanta Signal Processors, Inc. (now part of Polycom, Inc.) to take multidimensional signal processing from the classroom to commercial success.
An IEEE Fellow, Mersereau is a Regents’ Professor Emeritus with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Bede Liu’s cutting-edge research has profoundly impacted the digital processing of images and video by enabling signal processing systems that feature lower circuit count, minimal power consumption, and reduced design cost critical to today’s mobile multimedia devices. His revolutionary concept of incorporating a fixed number of shift-adds for multiplier-free filters provided a 3-to-1 savings in computation time over the traditional use of full multipliers. Liu’s proposal to use 1-bit coefficients on over-sampled data achieved significant savings in chip area and power. He also proposed a highly efficient motion vector search method for video coding, providing better accuracy and substantial time savings compared to prior approaches.
An IEEE Life Fellow, Liu is a Professor Emeritus with the Department of Electrical Engineering, Princeton University, Princeton, NJ, USA. He is a member of US National Academy of Engineering, an Academician of Academia Sinica, and a Foreign Member of Chinese Academy of Sciences.
One of the first statistical signal-processing researchers to envision the explosive growth of wireless communications and its resulting signal-processing needs, Georgios B. Giannakis has profoundly impacted the field with many groundbreaking contributions. He was the first to devise a multicarrier communication scheme that was resilient to frequency-selective multiuser and inter-symbol interference. This established blocking as the third important dimension for improving communication performance without altering power or bandwidth. His work on space-time coding for multiple-antenna wireless communications has demonstrated the practicality of multiple-antenna signal processing. Prof. Giannakis also helped pioneer ultra-wideband communications, educating industry and academia on the emerging technology that altered the wireless landscape for performing short-range communications such as in local-area networks.
An IEEE Fellow, Dr. Giannakis is currently an Endowed Chair Professor and director of the Digital Technology Center, University of Minnesota, Minneapolis, MN, USA.