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Organic solar cells reach record efficiency, benchmark for commercialization

The team led by Professor Stephen Forrest built record efficient, multi-layered organic solar cells that will be able to curve in clothing or be transparently built into windows. [Full Story]

Related Topics:  Forrest, Stephen  Power and Energy  Sustainability and Environment  

Andrew Wagenmaker awarded NSF Fellowship for machine learning

Andrew Wagenmaker (BSE MSE EE 16 17) was recently awarded an NSF Graduate Research Fellowship to continue research on machine learning. Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington this fall in Seattle. [Full Story]

Related Topics:  Alumni  Student Profile  

Fall 2018: Plasma Chemistry and Plasma Surface Interactions

Course No.: EECS 598-007
Credit Hours: 3 credits
Instructor: Mark Kushner
Prerequisites: See instructor

Course Description:
Low temperature plasmas are used for materials and microelectronics proc-essing, plasma aided combustion, lighting, lasers and medicine. This course will address the plasma initiated chemistry and plasma surface interactions of these systems. Electron impact, ion-molecule and excited state reactions, radiation transport; and the reaction of these species with inorganic, organic and liquid surfaces will be discussed.
[More Info]

Kyle Min awarded Towner Prize for Distinguished Academic Achievement

Kyle Min, a master's student soon to be a PhD in electrical engineering, works on using computer vision to analyze body camera footage from law enforcement officers with Professor Jason Corso. [Full Story]

Related Topics:  Computer Vision  Corso, Jason  

Professor Stephen Forrest elected to American Academy of Arts and Sciences

In recognition of Professor Forrest's accomplishments, including numerous other awards, more than 550 papers, and 267 patents, the AAAS welcomed him as one of the "exceptional scholars, leaders, artists, and innovators." [Full Story]

Related Topics:  Forrest, Stephen  

Sijia Geng awarded Towner Prize for Distinguished Academic Achievement

Sijia Geng, PhD student in electrical engineering, researches trajectory sensitivity and adding renewable energy to microgrids with Professor Ian Hiskens. [Full Story]

Related Topics:  Hiskens, Ian  Student Profile  Sustainability and Environment  

A Role Model at Raytheon: Katherine Herrick

Alumna Katherine Herrick, Senior Fellow and Chief Engineer at Raytheon, learned both engineering principles and life skills from her mentors. Now, she looks forward to giving back in similar ways. [Full Story]

Related Topics:  Alumni  

University of Michigan breaks ground on $75M Ford Robotics Building

Jessy Grizzle, professor and Director of Robotics, helps break ground on the new Ford Motor Company Robotics Building with Governor Snyder and Dean Alec Gallimore. The building is scheduled to open early 2020. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

Michigan engineers develop solar-powered imaging sensor

Sung-Yun Park, Kyuseok Lee, Hyunsoo Song and Euisik Yoon are featured in SPIE Optics on their device that can simultaneously capture an image and harvest energy. [Full Story]

Related Topics:  Electronic devices  Optics and Photonics  Yoon, Euisik  

Installing an alternative on spring break

The GRID Alternatives Students for Sustainable Energy traveled to the La Jolla Indian Reservation outside of San Diego, California, to perform a solar installation of over 10kW on three homes during spring break, with plans for much greater in the future. [Full Story]

Related Topics:  Power and Energy  Student Teams and Organizations  

Solar cells enable self-powered camera

Prof. Euisik Yoon and post-doc Sung-Yun Park developed a self-powered image sensor by placing a photovoltaic diode behind the photodetector diode, collecting the photons that pass through and converting them into electricity. [Full Story]

Related Topics:  Electronic devices  Internet of Things  MEMS and Microsystems  Yoon, Euisik  

Alumnus Garlin Gilchrist II serves as inaugural director of U-M Center for Social Media Responsibility

To address the growing concern of fake news, U-M has formed the School of Information Center for Social Media Responsibility, and hired one of President Barack Obama's former social media managers as its director, EECS alumnus Garlin Gilchrist II (BSE CE/CS 05). Gilchrist will ensure that people are connected, informed, empowered, and free to share their ideas on the internet. [Full Story]

Related Topics:  Alumni  

Fall 2018: Analysis of Societal Networks

Course No.: EECS 444
Credit Hours: 4 credits
Instructor: Vijay Subramanian
Prerequisites: EECS 301, MATH 425 or STATS 425, C or better for prerequisites

Course Description:
Networks are everywhere. We encounter a variety of networks of different sizes and forms on a daily basis: societal networks such as the network of retweets of a certain hashtag on Twitter or the friends network on Facebook; technological networks such as the Internet with the telecommunication network of computers, the links between webpages, the groupings of users generated by recommendation systems for predictions or the network of users on BitTorrent downloading a specific file; and economic networks such as trade networks or supply-chain networks. Some of these networks emerge naturally such as many societal networks, while others are planned such as the public transportation or road network. We depend on the efficient functioning of these networks to transact many of our activities. This course serves as an introduction to the broad class of networks described above: how these networks are connected, how they form, how processes and transactions take place on them, and how they are being transformed and interconnected in the modern world. Students will learn how to develop and apply mathematical models and tools from graph theory, linear algebra, probability and game theory in order to analyze network processes such as how opinions and fads spread on networks, how sponsored advertisements are developed, how web content is displayed, how recommendation systems work, etc.
[More Info]

2017-18 Undergraduate Student Awards

Students, parents, and faculty gathered on Friday, March 16, 2017 to celebrate the achievements of EECS students who earned a special award for academic achievement, research, service, or entrepreneurial activities. Dave Neuhoff, Senior Associate Chair for Electrical and Computer Engineering, and Brian Noble, Chair for Computer Science and Engineering, presented the awards. [Full Story]

Related Topics:  Undergraduate Students  

ECE Expeditions Travels to Seattle

On the fourth trip of ECE Expeditions, students took a journey around Seattle to meet with alumni and get an insiders view of several companies, coming away with new opportunities, a better understanding of their future, and a stronger community. [Full Story]

Related Topics:  Alumni  Events (Post Event Writeups)  

Improving communication between humans and robots in 20 noisy questions

A team of information scientists led by Prof. Alfred Hero have discovered a better way to facilitate communication between humans and robots, using a twist on the classic game of 20 Questions. [Full Story]

Related Topics:  Big Data  Hero, Alfred  Information Technology  Signal & Image Processing and Machine Learning  

Dmitry Berenson receives NSF CAREER Award to advance a robot's ability to handle soft objects

Prof. Dmitry Berenson was awarded an NSF CAREER award to improve the ability of autonomous robots to handle soft, deformable objects. The project is entitled Towards General-Purpose Manipulation of Deformable Objects through Control and Motion Planning with Distance Constraints." [Full Story]

Related Topics:  Berenson, Dmitry  Control Systems  Robotics and Autonomous Systems  

SMAP Update: A mission to manage water globally

Three Miichigan faculty (Prof. Kamal Sarabandi, Prof. Leung Tsang, and Dr. Leland Pierce) are working to improve the information about global soil moisture in the NASA mission called Soil Moisture Active Passive (SMAP). [Full Story]

Related Topics:  Applied Electromagnetics and RF Circuits  Lab-Radiation (RADLAB)  Pierce, Leland E.  Sarabandi, Kamal  Sensing and Sensors  Tsang, Leung  

Fall 2018: Electromagnetic Metamaterials

Course No.: EECS 598-008
Credit Hours: 3 credits
Instructor: Anthony Grbic
Prerequisites: EECS 330 or permission of instructor

Course Description:

The course will present a detailed introduction to electromagnetic metamaterials. The field of metamaterials is an emerging area and limited resources are available to students that wish to learn about this research area. Textbooks and graduate courses on the subject matter are scarce. Therefore, the student is left to learn from research papers scattered throughout numerous journals. This course is offered in response to this growing need.

The course covers engineered structures possessing tailored electromagnetic properties, or properties that are difficult or impossible to achieve using conventional materials. The course content includes classical microwave structures like periodically loaded transmission lines and waveguides, corrugated surfaces, wire arrays, as well as more recent structures such as high impedance surfaces and metasurfaces, electromagnetic bandgap structures, negative refractive index and artificial magnetic media. Optical structures including photonic bandgap materials and metal-dielectric plasmonic media are also covered. The course allows students to develop an intuitive understanding of the electromagnetic response of various structures through exact and approximate methods. Periodic analysis, effective medium theories, and distributed circuit concepts are utilized to gain understanding.
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Fall 2018: Infrastructure for Vehicle Electrification

Course No.: EECS 598-001
Credit Hours: 3 credits
Instructor: Ian Hiskens
Prerequisites: EECS 215 or EECS 314

Course Description:
The course covers the fundamentals of the physical and cyber infrastructures that will underpin large-scale integration of plug-in electric vehicles (EVs). EV charger technology will be examined, with a particular focus on grid-side characteristics. V2G converter requirements will be considered. An overview of the design and operation of power systems will be provided. This will form the basis for a detailed examination of grid integration issues arising from large-scale charging and fast charging strategies. Quality-of-supply issues and protection requirements will be addressed. The information infrastructure and regulatory framework required to support various business models for flexible EV charging will be presented. Control strategies for coordinating large-scale EV charging will be developed. Upon completion of the course, students should have a comprehensive knowledge of the structure, capabilities and limitations of the physical and cyber infrastructures required to support large-scale EV integration.

Syllabus:1. Power system overview: Distribution supply systems; Reliability; Protection; Impact of high EV penetration; Fast charging; Vehicle-to-grid integration.2. Vehicle-grid interface: Grid-to-vehicle and vehicle-to-grid converter technologies; Standards; Safety systems; Quality-of-supply; Information transfer.3. Business models for ubiquitous charging facilities: Cyber-infrastructure requirements for supporting smart/dumb charging.4. System-wide control of charging: Time-based and price-based load shifting strategies; Optimal control of EV charger demand; Hierarchical control structures; EV control for supporting renewable generation.
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Anonymous alumnus endows award in recognition of EECS professors

The Wise-Najafi Prize for Engineering Excellence in the Miniature World will recognize and incentivize outstanding research and scholarship related to engineering at the meso-scale, micron-scale, nano-scale and beyond. [Full Story]

Related Topics:  Alumni  Najafi, Khalil  Wise, Kensall  

Inaugural ECE Willie Hobbs Moore Alumni Lecture: Dr. Isaac R. Porche III

Dr. Porche (PhD EE:S 1998) was the inaugural speaker for the ECE Willie Hobbs Moore Alumni Lecture. A senior engineer at the RAND Corporation, Porche talks on "Information-Age Conflict" as an expert in cybersecurity. [Full Story]

Related Topics:  Alumni  Cybersecurity  

Mythic snags $40 million to advance AI chips

Mythic, founded by EECS aIumnus David Fick (CTO) and Mike Henry (CEO), raised $40M in investment to produce custom chips created to power AI applications. The company had its start in the Michigan Integrated Circuits Lab (MICL), where Fick was advised by, and Henry worked with as a postdoctoral researcher for, Profs. David Blaauw and Dennis Sylvester. Among the first employees are alumni Laura Fick and Skylar Skrzyniarz, both also MICL students advised by Blaauw and Sylvester. [Full Story]

Related Topics:  Alumni  Blaauw, David  Entrepreneurship and Tech Transfer  Lab-Michigan Integrated Circuits (MICL)  Sylvester, Dennis  

Fall 2018: Quantum Nanotechnology

Course No.: EECS 498-003
Credit Hours: 3 credits
Instructor: Duncan Steel
Prerequisites: MATH 215, MATH 216, PHYSICS 240 and co-req of EECS 230 or equivalent

Course Description:
The development and application of nano-technology is impacting nearly all the fields of engineering, from those who are developing it to those who use it. Future engineers working to design new devices will need a skill set that is considerably broadened to include the behavior of materials and devices when they becomesufficiently small. Devices like transistors and quantum well lasers have already forced engineers to understand the impact of Fermi-Dirac statistics and energy quantization on devices. However, the emergent field of nano-technology is revealing that the concepts we have from our current scale devices are no longer adequate to predict correct device experience. Moreover, in this new regime, new physical properties are emerging that may revolutionize how we think about information, its storage, transmission and processing. This course introduces students to basic concepts that are relevant to novel device concepts. The course will explore the new properties of nano-vibrators, quantum LC circuits, the role of loss, the impact of the quantum vacuum on nano-switches, coherent superposition, quantum entanglement, light (one photon at a time) and quantum information and computing. You will learn a new way to think about how things work.
[More Info]

Fall 2018: Reinforcement Learning (RL)

Course No.: EECS 498-006 and EECS 598-006
Credit Hours: 3 credits
Instructor: Satinder Baveja
Prerequisites: See instructor

Course Description:
This course will be a fast-paced programming-based introduction to both the fundamentals of Reinforcement Learning (RL) as well as some of the recent advanced and exciting ideas at the intersection of Deep Learning and RL (or DeepRL)
[More Info]

Fall 2018: Power Semiconductor Devices

Course No.: EECS 598-002
Credit Hours: 3 credits
Instructor: Becky Peterson
Prerequisites: EECS 320 or equivalent

Course Description:
Power devices are at the heart of all modern electronics, from the power grid and renewable energy to hybrid/electric vehicles, trains, space exploration, and industrial and consumer electronics. This course will cover design and operating principles of semiconductor devices for discrete and integrated power electronics. We will discuss the power MOSFET, IGBT, HEMT, thyristors, Schottky and PIN diodes, as well as emerging devicearchitectures. We will study the semiconductor materials, device fabrication and packaging required for power devices, including Si, GaN, SiC, and Ga2O3. Students will learn numerical device modeling using commercial software (Synopsys Sentaurus and Silvaco Atlas), and will do a final group presentation on a topicof their choice.
[More Info]

Fall 2018: Data Mining

Course No.: EECS 498-001
Credit Hours: 4 credits
Instructor: Danai Koutra
Prerequisites: EECS 281 or graduate standing in CSE

Course Description:
Unprecedented amounts of data are being generated daily everywhere -- on the web, social networks, mobile apps, supermarket transactions, movie and music services, traffic sensors, smart home devices, healthcare, and more. Methods for extracting nuggets of information from mountains of data are transforming the world: data-driven approaches are changing thescientific and decision-making processes and solving various societal problems. This course covers the fundamental concepts in data mining, focuses on methods and algorithms and, at thesame time, aims to equip the students with practical skills for mining of large-scale, real data. The topics that will be covered include big data systems, frequent itemsets, similarity and clusteranalysis, mining of networks / time series / data streams, and applications, such as recommendation systems, social network analysis and web search.
[More Info]

Fall 2018: Green Photonics

Course No.: EECS 598-004
Credit Hours: 3 credits
Instructor: Zetian Mi
Prerequisites: EECS 429 or equivalent

Course Description:
Energy, water, and environmental sustainability are among the most critical challenges we face in the next decades. Green Photonics is concerned with the application of semiconductor optoelectronics including light sources, detectors, and photovoltaic devices to these problems. The most familiar photonic technologies in this field are solar cells and LED lighting, which have had an enormous and growing impact over the past few decades. The course will cover the fundamentals of semiconductor photonic materials and devices, as well as new frontiers in green photonics, including integrated nanophotonic circuits and solar fuels. Important topics to be discussed include: solar cells, solar-to-hydrogen conversion, energy efficient nanophotonic devices including LEDs, lasers, and micro/nanoscale devices, as well as integrated nanophotonics.
[More Info]

Fall 2018: Computational Data Science

Course No.: EECS 598-003
Credit Hours: 3 credits
Instructor: Raj Nadakuditi
Prerequisites: Programming experience in MATLAB, C, C++, Python or R

Course Description:
See attached flyer
[More Info]

Fall 2018: Computer Hardware Design for Machine Learning

Course No.: EECS 598-005
Credit Hours: 3 (or 4 with an optional project)
Instructor: Zhengya Zhang
Prerequisites: EECS 427 or EECS 470

Course Description:
Machine learning has evolved rapidly in the last decade and it has become ubiquitous in applications from smart devices to self-driving cars. A key enabler of modern machine learning is the availability of low-cost, high-performance computer hardware, such as graphics processing units (GPUs) and specialized accelerators such as Googles tensor processing unit (TPU). New machine learning applications constantly impose new requirements and constraints on the hardware design. Hardware implementations must fit increasingly stringent area and power envelope. This course will survey the latest architecture and circuit designs for machine learning applications. Paper reviews and presentation will be the essential parts of this course. An optional unit can be earned by benchmarking or prototyping selected designs that leads to insightful conclusions.
[More Info]

Fall 2018: Introduction to Algorithmic Robotics

Course No.: EECS 498-005
Credit Hours: 3 credits
Instructor: Dmitry Berenson
Prerequisites: EECS 280 is required, EECS 281 and MATH 214 are recommended

Course Description:
Build the foundation for your future in robotics:

-Convex Optimization-Motion Planning-Grasping-Point Cloud Processing-Probabilistic Reasoning-Kalman and Particle Filters
[More Info]

Charles and Patricia Krumm Endow the George I. Haddad Graduate Fellowship Fund

Alumni Charles and Patricia Krumm have established the George I. Haddad Graduate Fellowship Fund to support graduate students in Electrical and Computer Engineering. The endowment fund honors Charles Krumms former doctoral advisor and mentor, Prof. George Haddad, and his contributions to the field of electrical and computer engineering. [Full Story]

Related Topics:  Alumni  Haddad, George I.  

Free electrical engineering textbooks for students

A new textbook initiative spearheaded by faculty at University of Michigan, UC-Berkeley, and The University of Utah aims to ease the financial burden of college students in engineering courses by offering newly-published books for free online. [Full Story]

Related Topics:  Ulaby, Fawwaz  Undergraduate Students  

Marlin P. Ristenbatt: In Memoriam

Marlin P. Ristenbatt, research scientist emeritus in the Department of Electrical Engineering and Computer Science, passed away March 2, 2018, at the age of 89. Since retiring in 1998, following a long and productive career as a teacher and researcher, he has remained closely affiliated with the Department. The Department salutes Marlin Ristenbatt and thanks him for all that he contributed to the department and the discipline. [Full Story]

Duncan Steel Co-Editor-in-Chief of Encyclopedia of Modern Optics, 2nd edition

Duncan Steel, Robert J. Hiller Professor of Engineering, is Co-Editor-in-Chief of the second edition of the Encyclopedia of Modern Optics, published by Elsevier. Topics covered include classical and quantum optics, lasers, optical fibers and optical fiber systems, optical materials and light-emitting diodes (LEDs). [Full Story]

Related Topics:  Lab-Optics and Photonics  Optics and Photonics  Steel, Duncan  

Ali Mostajeran earns IEEE-SSCS Predoctoral Achievement Award

Ali Mostajeran, visiting scholar from Cornell University, received a 2018 IEEE-SSCS Predoctoral Achievement Award award. Mostajeran works with Prof. Ehsan Afshari researching novel millimeter-wave and terahertz electronics for imaging, biomedical hydration sensing, and communication applications. [Full Story]

Related Topics:  Afshari, Ehsan  

Louise Willingale Receives NSF CAREER Award to Advance Scientific Knowledge of Plasmas

Louise Willingale has received an NSF CAREER Award for her research project Relativistic Electron Driven Magnetic Reconnection." Magnetic reconnection occurs during high-energy-density phenomena such as solar flares and auroras, and is also relevant to the process of nuclear fusion. Willingale plans to conduct high-energy-density laboratory experiments at the University of Michigan T-cubed laser facility and with the HERCULES laser, both housed in the Center for Ultrafast Optical Science, to shed light onto the little understood process of magnetic reconnection and test the accuracy of existing theories. [Full Story]

Related Topics:  Optics and Photonics  Plasma Science and Engineering   Willingale, Louise  

Necmiye Ozay Receives ONR Young Investigator Award to Advance Research in Autonomous System

Necmiye Ozay received a 2018 Young Investigator Award from the Office of Naval Research (ONR) for her research project "Correct-by-construction Control with Non-asymptotic Learning, Estimation and Detection in-the-Loop." Her research will incorporate the latest advances in learning and estimation by developing new theory and algorithms that seamlessly blend adaptability, safety and correctness. The award comes from the Science of Autonomy Program, which emphasizes a multi-disciplinary approach to the development of future autonomous systems. [Full Story]

Related Topics:  Control Systems  Ozay, Necmiye  Robotics and Autonomous Systems  

Kim Michelle Lewis Appointed Associate Dean at Howard University

Previously at Rensselaer Polytechnic Institute, Kim Michelle Lewis, Ph.D., has been appointed as associate dean for Research and Graduate Programs and full professor in the Department of Physics at Howard University. [Full Story]

Related Topics:  Alumni  

Heath Hofmann discusses transistors in troubled Toyota Prius

Prof. Heath Hofmann lends his expertise to the LA Times to describe current troubles with Toyota Prius software and hardware. Specifically, a fix made to the Prius is being blamed for reduced fuel efficiency. [Full Story]

Related Topics:  Automotive industry  Electric Vehicles and HEVs  Hofmann, Heath  

Prof. Wei Lu and What's Next In Neuromorphic Computing

Prof. Wei Lu and his team's work presented at IEDM 2016 was referenced in Semiconductor Engineering detailing how the commercialization of neuromorphic computing will require improved devices and architectures. [Full Story]

Related Topics:  Artificial Intelligence  Lu, Wei  Machine Learning  

Alfred Hero Illustrates Common Threads of Complex Networks in Distinguished University Professor Lecture

Alfred Hero explained how we can infer the intricate, hidden properties of a network in his Distinguished University Professor lecture, Locating the Nodes: From Sensor Arrays to Genomic Networks," held in the Rackham Amphitheatre. [Full Story]

Related Topics:  Data and Computing  Hero, Alfred  

Shai Revzen Receives Inaugural Robotics Institute Teaching Award for his Hands-on Approach to Robotics Education

Prof. Shai Revzen was presented with the inaugural Robotics Institute Teaching Award for blazing a new pedagogical path in the teaching of robotics. Since coming to Michigan in 2012, Revzen established an active learning class at the senior undergraduate level, Hands on Robotics; added key components to the graduate course, Robotics Systems Lab; and created a new graduate course, "Comparative Biomechanics Seminar." [Full Story]

Related Topics:  Education  Revzen, Shai  

Battling Drone Ships with Anthony Uytingco

Anthony Uytingco, a junior in Electrical Engineering, leads UM::Autonomy, Michigans RoboBoat team for the Association for Unmanned Vehicle Systems Internationals (AUVSI) RoboBoat Competition. Challenges for the boats include speeding around buoys, navigating a field of obstacles, staying in a precise formation, and docking based on an underwater pinger. [Full Story]

Related Topics:  Autonomous Vehicles  Student Profile  Student Teams and Organizations  

Prof. Hofmann adds expertise on defect that can cause Prius to overheat

Prof. Heath Hofmann helps inform LA Times readers on 2016 Toyota recall to fix a key electronic component on its Priuses. One of California's largest dealers said the cars were still coming in after overheating, however. [Full Story]

Related Topics:  Automotive industry  Electric Vehicles and HEVs  Hofmann, Heath  

Herbert Winful receives Outreach and Diversity Award from the College of Engineering

Herbert Winful, Arthur F. Thurnau Professor of Electrical Engineering and Computer Science, received the Raymond J. and Monica E. Schultz Outreach and Diversity Award from the College of Engineering. This award honors his efforts in organizing diversity, equity, and inclusion programs, offering mentorship, and championing improvements in local and global communities. [Full Story]

Related Topics:  Winful, Herbert  

Necmiye Ozay receives 1938E Award from College of Engineering

Necmiye Ozay, assistant professor of Electrical and Computer Engineering, received the 1938E Award from the College of Engineering, which recognizes "an outstanding teacher in both elementary and advanced courses, an understanding counselor of students who seek guidance in their choice of a career, a contributor to the educational growth of his/her College, and a teacher whose scholarly integrity pervades his/her service and the profession of Engineering." [Full Story]

Related Topics:  Ozay, Necmiye  

Raj Nadakuditi receives Excellence in Teaching Award from College of Engineering

Raj Nadakuditi, associate professor of Electrical Engineering and Computer Science, received the Jon R. and Beverly S. Holt Award for Excellence in Teaching from the College of Engineering. This award honors faculty "with a demonstrated sustained excellence in curricular development, instruction, and guidance at both the undergraduate and graduate levels." [Full Story]

Related Topics:  Nadakuditi, Rajesh Rao  

Stephane Lafortune receives Research Excellence Award from College of Engineering

Stephane Lafortune, professor of Electrical Engineering and Computer Science, received the David E. Liddle Research Excellence Award from the College of Engineering honoring his contributions to system and control theory, and especially discrete event systems. [Full Story]

Related Topics:  Lafortune, Stephane  

Mark J. Kushner receives Stephen S. Attwood Award from College of Engineering

Professor Mark J. Kushner received the Stephen S. Attwood Award, the most prestigious award that the College of Engineering bestows, in recognition of his extraordinary achievement in teaching, research, service, and other activities that have brought distinction to the College and University. [Full Story]

Related Topics:  Kushner, Mark J.  

All ECE News for 2018