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2013 - Carlos A. Coello Coello

Carlos A. Coello Coello

A trailblazer of evolutionary computation research, Carlos A. Coello Coello was one of the first scientists to investigate evolutionary multiobjective optimization for solving complex problems impacting many areas of engineering. His algorithms have found application to airplane design optimization, planning the placement of electrical towers, designing a framework of a motorcycle, and optimizing production processes for sugar cane cutting. Dr. Coello pioneered the development of self-adaptive multiobjective evolutionary algorithms, which can adjust parameters automatically without human intervention. He is also well known for developing one of the earliest multiobjective particle swarm optimizers, which can solve highly nonlinear optimization problems. He also created the first multiobjective artificial immune system, in which algorithms use characteristics of the human immune system to solve complex problems.

An IEEE Fellow, Dr. Coello is professor and chair of the Computer Science Department with the Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico.

 
 

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2012 - Mung Chiang

Photo of 2012 IEEE Kiyo Tomiyasu Award recipient, Mung Chiang

In a very short time, Mung Chiang has made a major impact with his theoretical foundation for optimizing communications networks by addressing real-world problems concerning wireless systems and the Internet. Dr. Chiang’s breakthrough mathematical theory is based on a cross-layering perspective and reverse-engineering approach using decomposition theory. Where traditional methods started with individual layers and the hope that they would interact well later on, Dr. Chiang’s approach provides a top-down process to design layer protocol stacks from successful first principles for more predictable outcomes. This cross-layer approach enables dynamic feedback between layer boundaries to coordinate the demands on different layers based on the needs of network users, thus optimizing network performance. To bridge the gap between theory and practice in networking, Dr. Chiang founded the EDGE Laboratory at Princeton University, N.J., in 2009. The lab provides researchers with a highly programmable network that enables theory-inspired experimentation across multiple layers.

An IEEE Fellow, Dr. Chiang is currently a professor with the Electrical Engineering Department at Princeton University.

 
 

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2011 - Moe Z. Win 

Photo of 2011 Kiyo Tomiyasu Award recipient Win

Moe Z. Win’s work on impairment mitigation techniques for wireless and optical channels has impacted current and emerging communications technologies. He developed hybrid diversity techniques for wireless systems, which reduce complexity and energy consumption compared to conventional diversity techniques. This work has contributed to reliable wireless access, enabling practical spatial and temporal diversity solutions such as subset combing multiple antennas and Rake receivers. Dr. Win has also developed signal-processing techniques to mitigate dispersion and nonlinearities in optical fibers, contributing to reliable transmission over longer distances and at higher data rates.

An IEEE Fellow, Dr. Win is an associate professor at the Massachusetts Institute of Technology (MIT), Cambridge. He has been actively involved in IEEE as editor for journals, organizer of international conferences, and chair of the IEEE Communications Society Radio Communications Committee. Prior to joining MIT, he was with AT&T Research Laboratories and with the Jet Propulsion Laboratory.

 
 

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2010 - Tsu-Jae King Liu

Tsu-Jae King Liu

Tsu-Jae King Liu has helped pave the way for continued transistor miniaturization to improve the functionality and cost of electronic devices such as cell phones, MP3 players and netbooks. Dr. Liu co-developed the FinFET multigate transistor with Chenming Hu and Jeffrey Bokor at the University of California, Berkeley. This advanced transistor structure has been established as a solution to the challenge of scaling CMOS transistors to the sub-20 nanometer regime. Her group was the first to demonstrate the benefits of fin-sidewall surface treatments for improved FinFET performance and reliability, and it was the first to demonstrate FinFETs with high-permittivity gate dielectric and metal gates for improved scalability and a tunable-work-function gate technology for threshold-voltage adjustment. Dr. Liu also performed a seminal study on polycrystalline silicon-germanium films, and demonstrated their advantages for applications as a tunable-work-function gate material with reduced gate depletion effect for CMOS devices and as a low-thermal-budget material for fabrication of high-performance thin-film transistors and MEMS devices. 

An IEEE Fellow, Dr. Liu is currently the Conexant Systems Distinguished Professor at the University of California, Berkeley.

 
 

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2009 - Shih-Fu Chang

photo of Shih-Fu Chang

Shih-Fu Chang has advanced the state of the art of automated search and classification of
digital image and video content. His ground-breaking search paradigms and prototypes allow users to harness the visual search problem by content-based image matching, searching videos by a very large pool of semantic concepts and summarizing event patterns from multiple sources.

Dr. Chang and his group developed some of the first visual-object search systems in 1996—VisualSEEk (one of the most influential works on content-based image retrieval), WebSEEk (considered the first online Web image search engine) and recently CuZero (with innovative real-time video navigation capabilities). Applications of these technologies can be found in next-generation Web search engines and content management systems for the news, media, government, biomedical and consumer media domains.

An IEEE Fellow, Dr. Chang is Professor and Chairman of Electrical Engineering and Director of Digital Video and Multimedia Lab at Columbia University. Dr. Chang has recently expanded his research to study the use patterns of visual content on Internet and their impact on online information flow. 

 
 

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2008 - George V. Eleftheriades

photo of George Eleftheriades

George V. Eleftheriades is a recognized international authority and pioneer in the area of negative-refractive-index metamaterials. Dr. Eleftheriades is a professor and Canada Research Chair in the department of electrical and computer engineering at the University of Toronto. Together with his graduate students, Dr. Eleftheriades provided the first experimental evidence of imaging beyond the diffraction limit and pioneered several novel microwave components and antennas using these transmission-line based metamaterials. His research has clearly impacted the field by demonstrating the unique refractive properties of metamaterials; used in lenses and other microwave components used to drive innovation in fields such as defense, medical imaging, microscopy, automotive radar and wireless telecommunications. An IEEE Fellow, Dr. Eleftheraides is a distinguished lecturer for the IEEE Antennas and Propagation Society and has authored or co-authored over 200 published papers. He has received numerous awards for his work, including the E.W.R. Steacie Fellowship from the Natural Sciences and Engineering Research Council of Canada in 2004. 

 
 

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2007 - Alberto Moreira

photo of Alberto Moreira

Alberto Moreira is a leader in the field of imaging radar technology and application. He is Director of the Microwaves and Radar Institute, German Aerospace Center, Oberpfaffenhofen, Germany, and a Professor, University of Karlsruhe, Germany.

He has developed new algorithms in high-resolution radar processing, image formation and interferometric techniques but his major accomplishment has been the development of innovative synthetic aperture radar (SAR) system concepts with polarimetric and interferometric capabilities. Prof. Moreira also pioneered research on associated techniques like radar tomography, digital beamforming and advanced imaging modes and developed an innovative, forward-looking radar system for enhanced vision. Prof. Moreira’s research has been used extensively by the German and European Space programs, and he has managed many European Space Agency studies.

He is an IEEE Fellow and recipient of the IEEE Fred Nathanson Memorial Award for the “Young Engineer of the Year” and the NASA certificate for outstanding contribution to the success the Shuttle imaging radar mission SIR-C/X-SAR.

 
 

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2006 - Muhammad A. Alam

photo of Muhammad Alam

Dr. Muhammad A. Alam is known for important, innovative contributions that have overcome technological bottlenecks in various aspects of device technology. His work has laid the foundations for breakthroughs in semiconductor, electronic and opto-electronic device performance.

While at Bell Laboratories in Murray Hill, New Jersey, and Agere Systems in Allentown, Pennsylvania, Dr. Alam pioneered the use of computational models to show the gate insulator of CMOS transistors could be reliably scaled down to at least 1.5 nm, allowing for faster integrated circuits without damaging the insulation. 

Also at Bell, he also led the development for a 3-D MOCVD vapor phase diffusion model that simulated the production of complex epitaxial structures for optoelectronic integrated circuits. This simulator dramatically reduced design time from several months to a week, and required the services of one engineer working with a computer rather than a team of opto-electronics experts.

In 2004, Dr. Alam joined Purdue University in West Lafayette, Indiana, as a professor in School of Electrical and Computer Engineering. At Purdue, Dr. Alam and his colleagues have created a unified model for predicting the reliability of new silicon transistor designs, which is expected to save tens of millions of dollars in testing costs each year. The model is the first to analyze simultaneously the reliability of two types of transistors essential for CMOS computer chips. He has also led Purdue’s efforts to develop novel computational models for a new class of nanocomposites based on bundles of silicon nanowires or carbon nanotubes that could change the way large-area displays and sensors are made and deployed.  

 
 
 

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2005 - Chai K. Toh

Dr. Chai Keong Toh, professor and chair in Communications Networks at the University of London in England, has been a trailblazer in the field of ad hoc wireless networks. As former director of research in communications systems at Northrop Grumman Mission Systems Corporation in Carson, California, and now as chair professor at the University of London, Dr. Toh has laid the foundation for next-generation mobile communications, computing and networking. He invented associativity based routing, an approach that selects stable mobile routes that yield high performance, low-cost wireless networks that originate, terminate and relay traffic without centralized control. It was a pioneering work that gained a U.S. patent.

A Senior Member of IEEE and a pioneering promoter of ad hoc networking, Dr. Toh founded the Ad Hoc Wireless Networking and Computing Consortium and the IEEE Symposium on Ad Hoc Wireless Networks. He also served as chairman of the IEEE Computer Society's Technical Committee on Computer Communications and as a distinguished lecturer.

 
 

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2004 - David B. Fogel

A pioneer in evolutionary programming, Dr. David B. Fogel has helped develop important theoretical foundations and applications ranging from signal processing to weapons launch sequence planning to pharmaceutical design. In his best-known academic work, Blondie24, a computer taught itself to play checkers competitively with human experts. He has produced more than 200 publications in the field, notably 'Evolutionary Computation: Toward a New Philosophy of Machine Intelligence.' He served as the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation and now serves as the IEEE/Wiley series editor on computational intelligence and holds a patent for hardware design for evolutionary optimization of a neural network.

An IEEE Fellow, he serves on the Editorial Board of Proceedings of the IEEE and as vice president of publications for the IEEE Neural Networks Society. Dr. Fogel is the CEO and co-founder of Natural Selection, Inc., in La Jolla, California.

 
 

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2003 - Keshab K. Parhi

Keshab K. Parhi's research has greatly expanded the fields of digital filters, high-level architectural transformations, Huffman decoders, turbo coders and cryptosystems. These technologies are found in highspeed optical networks, Gigabit Ethernet, cable modems, video compression, and Internet security, respectively. A Distinguished McKnight University professor at the University of Minnesota at Minneapolis, he has received many awards including the IEEE W.R.G. Baker Paper Prize, the IEEE Circuits and Systems Society Golden Jubilee Medal, the National Science Foundation (NSF) Young Investigator Award and the NSF Research Initiation Award.

He is an IEEE Fellow and has served on numerous IEEE committees and as associate editor of several IEEE journals. Dr. Parhi is the editor of the Journal of VLSI Signal Processing. He wrote the book VLSI Digital Signal Processing Systems and has published more than 340 papers.

 
 

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2002 - Casimer DeCusatis

Dr. Casimer DeCusatis’ work in fiber optic technologies and data communications has had a tremendous impact on computer networking technology. His work with dense wavelength division multiplexing includes an interface for the IBM Parallel Sysplex mainframe computer architecture. The Parallel Sysplex allows the union of multiple processors and data storage over long distances, reducing annual leased optical fiber costs by US$1 to US$7 million each year. He is recognized as an IBM Master Inventor, with 35 patents and 14 patents pending in areas of optical technology and data storage.

An IEEE member, he has written more than 100 technical papers and numerous book chapters, and has written or edited six books, including the Handbook of Fiber Optic Data Communication. A Senior Engineer at IBM, Dr. DeCusatis’ many honors include the IEEE/Eta Kappa Nu Outstanding Young Electrical Engineer Award, the EDN Innovator of the Year Award and the IBM Outstanding Technical Achievement Award.

 
 

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