View allAll Photos Tagged computer_engineering
Georgios Giannakis, PhD
Professor of Electrical and Computer Engineering at the University of Minnesota
Director of the Digital Technology Center
Monday, Nov. 18, 2019, 3:30 p.m.
Donna E. Shalala Student Center, Senate Room 302
1300 Miller Drive Coral Gables, FL 33146
Abstract
We live in an era of data deluge. Pervasive sensors collect massive amounts of information on every bit of our lives, churning out enormous streams of raw data in various formats. Mining information and learning from unprecedented volumes of data promises to limit the spread of epidemics and diseases, identify trends in financial markets, learn the dynamics of emergent social-computational systems, and also protect critical infrastructure including the smart grid and the Internet’s backbone network. While Big Data can be definitely perceived as a big blessing, big challenges also arise with large-scale datasets. This talk will overview challenges and opportunities emerging in the analytical and algorithmic foundations that are widely referred to as Data Science, and Network Science, the latter for data residing on graphs formed by agents that are interconnected (or networked) either physically or through their interdependencies.
Georgios Giannakis, PhD, received his diploma in Electrical Engineering from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. He was with the U. of Virginia from 1987 to 1998, and since 1999 he has been a professor with the U. of Minnesota, where he holds a Chair in Wireless Communications, a University of Minnesota McKnight Presidential Chair in ECE, and serves as director of the Digital Technology Center. His general interests span the areas of communications, networking and statistical signal processing – subjects on which he has published more than 450 journal papers, 750 conference papers, 25 book chapters, two edited books and two research monographs (h-index 143). Current research focuses on data science and network science with applications to social, brain, and power networks with renewables. He is the (co-) inventor of 33 patents issued, and the (co-) recipient of 9 best journal paper awards from the IEEE Signal Processing (SP) and Communications Societies. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), and the inaugural IEEE Fourier Tech. Field Award (2015). He is a Fellow of EURASIP, and has served the IEEE in various posts including that of a Distinguished Lecturer.
Georgios Giannakis, PhD
Professor of Electrical and Computer Engineering at the University of Minnesota
Director of the Digital Technology Center
Monday, Nov. 18, 2019, 3:30 p.m.
Donna E. Shalala Student Center, Senate Room 302
1300 Miller Drive Coral Gables, FL 33146
Abstract
We live in an era of data deluge. Pervasive sensors collect massive amounts of information on every bit of our lives, churning out enormous streams of raw data in various formats. Mining information and learning from unprecedented volumes of data promises to limit the spread of epidemics and diseases, identify trends in financial markets, learn the dynamics of emergent social-computational systems, and also protect critical infrastructure including the smart grid and the Internet’s backbone network. While Big Data can be definitely perceived as a big blessing, big challenges also arise with large-scale datasets. This talk will overview challenges and opportunities emerging in the analytical and algorithmic foundations that are widely referred to as Data Science, and Network Science, the latter for data residing on graphs formed by agents that are interconnected (or networked) either physically or through their interdependencies.
Georgios Giannakis, PhD, received his diploma in Electrical Engineering from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. He was with the U. of Virginia from 1987 to 1998, and since 1999 he has been a professor with the U. of Minnesota, where he holds a Chair in Wireless Communications, a University of Minnesota McKnight Presidential Chair in ECE, and serves as director of the Digital Technology Center. His general interests span the areas of communications, networking and statistical signal processing – subjects on which he has published more than 450 journal papers, 750 conference papers, 25 book chapters, two edited books and two research monographs (h-index 143). Current research focuses on data science and network science with applications to social, brain, and power networks with renewables. He is the (co-) inventor of 33 patents issued, and the (co-) recipient of 9 best journal paper awards from the IEEE Signal Processing (SP) and Communications Societies. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), and the inaugural IEEE Fourier Tech. Field Award (2015). He is a Fellow of EURASIP, and has served the IEEE in various posts including that of a Distinguished Lecturer.
Ji Chen, associate professor of electrical and computer engineering (ECE) with the UH Cullen College of Engineering, shows an example of a metallic implantable device (used to help heal a broken forearm) which he will test for compatibility with an MRI machine.
Gage Glupker and Karthik Urs, Computer Engineering BSE Students, work on designing circuits using a small particle accelerator in the Space Research Building on North Campus of the University of Michigan in Ann Arbor, MI on August 11, 2016.
Photo: Joseph Xu, Michigan Engineering Communications & Marketing
Christopher Doran
Graduate Student, Electrical & Computer Engineering
Monocrystalline silicon flakes transferred to carbon adhesive. The silicon started as a uniform 300 nanometer-thick sheet, but later assumed the unique flake structure from the uneven mechanical forces originating from the textured tacky carbon surface. While crystalline silicon is hard and brittle in the macro-scale, when it is sufficiently thinned like can be seen here, it can become quite bendable. The distinct coloring originates from the differential interference contrast microscope that imaged the sample, which uses interference from split polarized light rays to enhance the visibility of thin layers that might otherwise be transparent.
Research Professor in the Department of Electrical & Computer Engineering, University of California, Santa Barbara, and Professor Emeritus in the Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles
Monday, Feb. 29, 2018
Abstract:
The field of digital signal processing (DSP) has been a very active area of research and application for more than six decades. This broad development has paralleled in time the rapid development of high-speed electronic digital computers, microelectronics and integrated circuit fabrication technologies. An ever-increasing assortment of integrated circuits specifically tailored to perform common DSP functions is available to the design engineer as system building blocks or parts-in-trade. DSP methodologies have been applied to consumer electronics, communications, automotive electronics, instrumentation, medical electronics, tomography and acoustic imaging, cartography, seismology, speech recognition, robotics and other fields. In his talk, Dr. Mitra will provide a brief overview of the initial developments in DSP and review some of the important advances made during the nearly-60-year period of its growth, and will describe a number of its key applications. He will conclude with speculation on DSP’s future trends and directions.
Dr. Sanjit K. Mitra is a Research Professor in the Department of Electrical & Computer Engineering, University of California, Santa Barbara. Dr. Mitra has published over 700 papers in the areas of analog and digital signal processing, and image and video processing. He has also authored and co-authored twelve books, and holds six patents. Dr. Mitra has served IEEE in various capacities including service as the President of the IEEE Circuits & Systems Society in 1986.
Dr. Mitra has received many awards including the 2009 Athanasios Papoulis Award of the European Association for Signal Processing, the 2005 SPIE Technology Achievement Award of the International Society for Optical Engineers; the University Medal of the Slovak Technical University, Bratislava, Slovakia in 2005; the 2006 IEEE James H. Mulligan, Jr. Education Medal; and the 2013 IEEE Gustav Robert Kirchhoff Award. He is the co-recipient of the 2000 Blumlein-Browne-Willans Premium of the Institution of Electrical Engineers (London). He has been awarded Honorary Doctorate degrees from the Tampere University of Technology, Finland, the Technical University of Bucharest, Romania, and the Technical University of Iasi, Romania.
He is a member of the U.S. National Academy of Engineering, a member of the Norwegian Academy of Technological Sciences, an Academician of the Academy of Finland, a foreign member of the Finnish Academy of Sciences and Arts, a foreign member of the Croatian Academy of Sciences and Arts, international member of the Croatian Academy of Engineering and the Academy of Engineering, Mexico, and a Foreign Fellow of the National Academy of Sciences, India and the Indian National Academy of Engineering. Dr. Mitra is a Life Fellow of the IEEE.
Purdue University’s Elmore Family School of Electrical and Computer Engineering today (Sept. 29) celebrated the completion of new, cutting-edge research space. The Chiminski Family Collaborative Research Hub is located on the second floor of the Materials and Electrical Engineering Building (MSEE). It was made possible by a generous gift from alumnus John R. Chiminski and his wife Laura A. Chiminski.
Institute for Computational Engineering and Science core faculty;
Assistant Professor, electrical and computer engineering;
Jiefu Zhang, a masters student in electrical and computer engineering, puts on an exoskeleton as part of "The Testing Lab” a multifaceted event focused on powered exoskeletons in the Ford Motor Company Robotics Building Atrium on the North Campus of the University of Michigan in Ann Arbor on Wednesday, April 12, 2023.
The Testing Lab is a new series from the University of Michigan Robotics Department, putting robots to the test to examine how far they have come and what the future may hold. This was the first installment of the series and took a look at the possibilities associated with powered exoskeletons with a demonstration as well as an expert panel taking questions from the audience.
Photo: Brenda Ahearn/University of Michigan, College of Engineering, Communications and Marketing
Electrical and Computer Engineering Senior Design Team at the 2015 Design Expo at Michigan Tech
Team Members: Zack Browne, Holden Hunt, Michael Martin, and Matt Militello, Electrical Engineering
Advisor: Trever Hassell, Electrical and Computer Engineering
Sponsor: American Transmission Company (ATC)
Project Overview:
The purpose of this design project is to assist
American Transmission Company (ATC) in the
development and creation of a software tool for
three phase, single and double squirrel cage
induction motors. More specifically, the team will
investigate and derive a method and software tool,
which can accurately predict an induction motor’s
equivalent circuit parameters from a manufacturerprovided
torque speed curve and nameplate data
in an efficient and non-heuristic approach. This
software tool will allow ATC to be more accurate
and efficient when describing a motor’s effects
during black start conditions.
2023 Winter Party
School of Electrical & Computer Engineering
College of Engineering
Georgia Institute of Technology
2023 Winter Party
School of Electrical & Computer Engineering
College of Engineering
Georgia Institute of Technology
Skylar Lennon, an undergraduate in computer engineering, left, helps Michaela Garvey, a graduate student in space engineering, prepare for another test run of the Supermileage vehicle as other team members look on in the parking lot across from the Ford Motor Company Robotics Building on the North Campus of the University of Michigan in Ann Arbor on Saturday, April 8, 2023.
This year the Supermileage team has more than 30 members from ten different majors. They designed two vehicles this season, the Maple and the Magnolia. One is a internal combustion engine vehicle for the urban concept category, with a goal of 500 miles per gallon, the other is for the electric prototype category with a target efficiency of 10,000 miles per gallon.
Photo: Brenda Ahearn/University of Michigan, College of Engineering, Communications and Marketing
The Outstanding Electrical and Computer Engineering (OECE) awards celebration - recognizing the achievements of alumni and faculty - is a highlight event each year. On Sept. 29, 2022, the Elmore Family School of Electrical and Computer Engineering honored 6 alumni with the OECE. Learn more: bit.ly/oece-2022
Mathew Geevarghese, a senior from Arlington Heights studying computer engineering, kisses the trophy
awarded to his team Saturday in the Engineering Building after it won the Crew Station 2040 Challenge:
University Capstone Competition sponsored by Boeing Military Aircraft. Two teams of 11 SIU students have
been engineering the cockpit of the future over the last academic year, and Team Horus took home the trophy
by a 4-point win after two days of in-depth design presentations. Tiffany Blanchette-Daily Egyptian
2023 Winter Party
School of Electrical & Computer Engineering
College of Engineering
Georgia Institute of Technology
2023 Winter Party
School of Electrical & Computer Engineering
College of Engineering
Georgia Institute of Technology
2012 NSF CAREER: Anonymous Networking with Guaranteed Quality of Service: Towards a Theoretical Foundation
Parv Venkitasubramaniam's research interests are in developing theoretical foundations for privacy in networks. Specfically, he applies tools in statistical signal processing, information theory and game-theory to study fundamental trade-offs between privacy and performance in networks under different adversarial conditions. He is also interested in studying anonymity in a more general category of networked systems such as peer production, smart grid networks and transportation systems.
Pascale Fung, Professor, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2015. Copyright by World Economic Forum / Jakob Polacsek