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Nino A. Masnari (1935 - 2018): In Memoriam

Nino Masnari, alumnus, friend, and former faculty member of Electrical and Computer Engineering, passed away May 19, 2018 at the age of 82. [Full Story]

Related Topics:  Alumni  

U.S. Spy Agencies Seek Tech to Identify Deadly Chemicals From 30 Meters Away

Professor Mohammed Islam's research into a shoe-box sized chemical detector as part of the U.S. Intelligence Advanced Research Projects Activity's SILMARILS program is highlighted as part of security agencies' efforts to stem chemical attacks. [Full Story]

Related Topics:  Islam, Mohammed  Optics and Photonics  

Fall 2018: Discover Computer Science

Course No.: EECS 198-001
Credit Hours: 1 credit
Instructor: Rada Mihalcea
Prerequisites:

Course Description:
Interested in Computer Science? Heard about programming but not really sure how it works? Discover Computer Science!
[More Info]

Exoskeletons compete to boost strength of rescue workers

U-M's STARX team hosted the first Applied Collegiate Exoskeleton (ACE) Competition, where teams from five schools gathered to tune-up, learn, and demonstrate their powered mechanical suits, which augment the wearers strength and abilities. [Full Story]

Related Topics:  Events (Post Event Writeups)  Robotics and Autonomous Systems  Student Teams and Organizations  

Startup Maps AI into Flash Array

Mythic, founded by EECS aIumnus David Fick (CTO) and Mike Henry (CEO), is profiled in EE Times as they aims to put neural networks into flash memory. The company started 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. [Full Story]

Related Topics:  Alumni  Artificial Intelligence  Blaauw, David  Lab-Michigan Integrated Circuits (MICL)  Sylvester, Dennis  

Stephanie Crocker Ross receives Rackham Predoctoral Fellowship

Stephanie Crocker Ross, a PhD candidate advised by Professor Johanna Mathieu, received a Rackham Predoctoral Fellowship, which supports outstanding doctoral students working on unusually creative, ambitious and impactful dissertations. [Full Story]

Related Topics:  Mathieu, Johanna  Power and Energy  

ECE launches the ECE Innovator Program

Electrical and Computer Engineering at Michigan has launched the ECE Innovator Program, which is aimed at inspiring and facilitating the commercialization of research conducted in ECE. The program will provide financial support to a team of entrepreneurs with both technical and product management skills. [Full Story]

Related Topics:  Alumni  Graduate Students  

Mike Stander honored with CoE Staff Excellence Award

Mike Stander received a 2018 College of Engineering Staff Excellence Award, recognizing 33 years of exceptional service to the Department of Electrical Engineering and Computer Science as a Hardware and Electronics Technician. [Full Story]

Mengqi Yao receives High Quality Paper Award at PowerTech Conference

Mengqi Yao, a University of Michigan PhD student advised by Professor Johanna Mathieu, recently won a High Quality Paper Award at the PowerTech Conference for her paper, Using demand response to improve power system voltage stability margins. Yao researches power system stability and how demand response, as opposed to changing supply during a disruption, can improve this stability. [Full Story]

Related Topics:  Mathieu, Johanna  Power and Energy  

Keki Irani (1924-2018): In Memoriam

Keki Irani, professor emeritus of Electrical Engineering and Computer Science, passed away on Wednesday, May 2, at the age of 93. He was a model faculty who made important contributions to the EECS department, was always supportive of students, and who supported the department at critical times throughout the years. [Full Story]

Xiang Yin receives honorable mention for ProQuest Distinguished Dissertation Award

Xiang Yin (MSE PhD EE:S 2013 2017) received an honorable mention for the ProQuest Distinguished Dissertation Award. Yin, now Associate Professor at Shanghai Jiao Tong University, researched cyber-physical systems and discrete-event systems with Professor Stphane Lafortune. [Full Story]

Related Topics:  Cyber-physical systems  Lafortune, Stephane  

Students win prizes for improving image processing techniques for liver cancer detection and much more

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression. The techniques are fundamental to companies such as KLA-Tencor, which offered prizes to two teams of students. [Full Story]

Related Topics:  Fessler, Jeffrey  Graduate Students  Medical Imaging  Signal & Image Processing and Machine Learning  

15 of The Greatest Minds in Automobile Engineering Today

Alumnus Andrew Farah is named one of Interesting Engineering's 15 of the greatest minds in automobile engineering today for his work with electric GM vehicles and autonomous driving. [Full Story]

Related Topics:  Alumni  Automotive industry  Autonomous Vehicles  Electric Vehicles and HEVs  

Harvesting clean hydrogen fuel through artificial photosynthesis

A new device can double the previous efficiency of using solar energy to break apart water and harvest hydrogen. This new device, developed by Professor Zetian Mi and researchers at McGill University, opens the path to commercial viability. [Full Story]

Related Topics:  Energy Science and Engineering  Mi, Zetian  Sustainability and Environment  

Light could make semiconductor computers a million times faster or even go quantum

Professor Mackillo Kira is working on a technique to manipulate electrons with light that could bring quantum computing up to room temperature. [Full Story]

Related Topics:  Kira, Mackillo  Optics and Photonics  Quantum Science and Technology  

Huanting Huang and the mathematical shape of trees

Huang, a University of Michigan PhD candidate studying electrical engineering under Professor Leung Tsang, works in remote sensing. Because of her award-winning mathematical modeling, we will better understand our natural environment through knowing the shapes of trees. [Full Story]

Related Topics:  Sensing and Sensors  Student Profile  Sustainability and Environment  Tsang, Leung  

$6.25M project will decode worlds most complex networks

A new $6.25 million project built on game theory and led by Professors Mingyan Liu and Michael Wellman will develop tools to understand and shape online and on-the-ground networks that drive human decision making. [Full Story]

Related Topics:  Liu, Mingyan  Networking, Operating Systems, and Distributed Systems  Wellman, Michael  

Awards for outstanding graduate student instructors and instructional aides of 2018

We honored the GSIs and IAs who students ranked as the best, sometimes better than the professer, the day before commencement. [Full Story]

Related Topics:  Graduate Students  

Video Friday: Cassie on Fire

Cassie's fire walk is featured in IEEE Spectrum's round up of robot videos. Professor Grizzle's previous generation robot, MARLO, is also mentioned. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

Fawwaz Ulaby Voted 2018 HKN ECE Professor of the Year

Students voted, and named Professor Fawwaz Ulaby the 2017-2018 HKN Professor of the Year in ECE by the Beta-Epsilon chapter of Eta Kappa Nu (HKN), the national honor society for electrical and computer engineers. This is the third time Ulaby has received this honor. [Full Story]

Related Topics:  Ulaby, Fawwaz  

The Lab Making Robots Walk Through Fire and Ride Segways

Professor Jessy Grizzle's team are featured in a WIRED article for putting Cassie, their bipedal robot, in some precarious situations including in a controlled fire and on top of a two-wheeled scooter. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

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  Lab-Michigan-Power-and-Energy(MPEL)  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.
[More Info]

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.
[More Info]

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]

All ECE News for 2018