Electrical Engineering and Computer Science

ECE News

Winter 2018: Multidisciplinary Capstone Design Project - Supplemental Information

Course No.: EECS 498-006 and EECS 498-007
Credit Hours: 3 or 4 credits
Instructor: Jay Guo and Hun Seok Kim
Prerequisites:

Course Description:
See attached PDF [More Info]

Winter 2018: Multidisciplinary Capstone (MDE) Design Pilot

Course No.: EECS 498-005
Credit Hours: 3 or 4 credits
Instructor: Brian Gilchrist
Prerequisites:

Course Description:
EECS students, together with ME and MSE students, work on common, interesting, significant major design experience (MDE) projects. This pilot course is about providing students real-world, multidisciplinary design project opportunities to satisfy their MDE requirement and for ECE masters students interested in meaningful project experiences.

For WN18, we expect to have several projects with application focus in biomedical, energy, spaceflight, and other areas needing EECS students (e.g. sensor/electronics, embedded systems, controls, and wireless). Please contact Prof. Gilchrist with questions. [More Info]

Beyond the threshold

Prof. David Blaauw and his team is recognized for their potential solution in providing a stable voltage to overcome a large hurdle in the design of small electronics. [Full Story]

Related Topics:  Blaauw, David  Electronic devices  

Seed-sized U-M computers pumped into oil wells featured at the Houston Museum of Natural Science

Tiny computers developed at the University of Michigan will be featured for their role in oil exploration as part of a new exhibit at the Houston Museum of Natural Science. [Full Story]

Related Topics:  Blaauw, David  Energy Science and Engineering  Gianchandani, Yogesh  Grbic, Anthony  Integrated Circuits and VLSI  Kim, Hun-Seok  Lab-Michigan Integrated Circuits (MICL)  Millimeter-scale Computing  Phillips, Jamie D.  Wentzloff, David  

3D Printing Technology Facilitates Fabrication Of A Curved Organic Photodetector For Image Sensing Devices

Prof. Jerzy Kanicki and his team developed a new fabrication method for curved substrates using a 3D printing process. The technique will enable next-generation camera systems or artificial eyes, as well as high performance image sensing devices for breast cancer detection and other more. Read the paper in Advanced Materials Technologies. [Full Story]

Related Topics:  Health  Kanicki, Jerzy  Solid-State Devices and Nanotechnology  

The Beanbag Test for Robots

Its one thing for a robot to sort through a pile of rigid objects like blocks, but what about softer stuff? Dmitry Berenson and the Autonomous Robotic Manipulation (ARM) Lab showcase their latest work. [Full Story]

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

The Million Foot View: Profile of Kamal Sarabandi

In this profile, Kamal Sarabandi describes his work as he has expanded radar capabilities in applications ranging from low earth orbit to thousands of feet underground. [Full Story]

Related Topics:  Antennas  Applied Electromagnetics and RF Circuits  Remote Sensing  Robotics and Autonomous Systems  Sarabandi, Kamal  Wireless Communications  

An afternoon with U-M Robotics' newest robot

WDIV visited Jessy Grizzle's team and Cassie, their bipedal robot, and put her in the spotlight with a live feed to Facebook. [Full Story]

Related Topics:  Control Systems  Grizzle, Jessy  Robotics and Autonomous Systems  

Winter 2018: Mining Large-scale Graph Data

Course No.: EECS 598-008
Credit Hours: 4 credits
Instructor: Danai Koutra
Prerequisites: Basic knowledge of linear algebra, programming, and machine learning

Course Description:
Graphs naturally represent information ranging from linksbetween webpages to friendships in social networks, tocollaborations between coauthors and connections betweenneurons in our brains. These graphs often span billions of nodesand interactions between them. Within this deluge of interconnected data, how can we extract useful knowledge,understand the underlying processes, make interesting discoveries, and contribute to decision-making?

This course will cover recent methods and algorithms foranalyzing large-scale graphs, as well as applications in variousdomains (e.g., neuroscience, web science, social science,computer networks). The focus will be on scalable and practicalmethods, and students will have the chance to analyzelarge-scale datasets. The topics that we will cover includeclustering and community detection, recommendation systems,similarity analysis, deep learning, summarization, and anomalydetection in the graph setting. [More Info]

Winter 2018: Social Computing Systems

Course No.: EECS 498-001
Credit Hours: 4 credits
Instructor: Walter Lasecki
Prerequisites: EECS 485 or EECS 493 or permission of instructor

Course Description:
Computation rarely exists in isolation. From social media, to collaboration and coordination tools, to crowdsourcing and collective intelligence, technology has risen from use as an individual tool for focused domains to play a role in or even mediate a majority of social interactions today. Social Computing is the study of this interplay between social processes and the computation that supports and augments them. This course will cover topics including collaborative systems, social media, systems for supporting collective action, data mining and analysis, crowdsourcing, human computation, and peer production. [More Info]

Deep UV LEDs Lead to Two Best Poster Awards at ISSLED 2017

At ISSLED 2017, PhD student David Laleyan and visiting scholar Xianhe Liu both won best student poster awards for their work showcasing new techniques for creating deep ultraviolet (UV) LEDs. The researchers work with Prof. Zetian Mi. [Full Story]

Related Topics:  LEDs  Mi, Zetian  Optics and Photonics  Power and Energy  Solid-State Devices and Nanotechnology  

Zachary Lemnios: Current and Future Tech at IBM

Zachary Lemnios, VP for Physical Sciences and Government Programs, talks about current and future tech at IBM. Prior to joining IBM, Mr. Lemnios served in the Department of Defense as Chief Technology Officer. [Full Story]

Related Topics:  Alumni  Artificial Intelligence  

Andrew Farah: Evolution of a Career, Computers, and Cars

Andrew Farah (BSE CE 1982; MSE Electrical Science 1984), Chief Technology Architect for Autonomous Vehicles at General Motors, talks about the automotive electronics landscape in the last 40 years, from stand-alone micro-controllers to highly distributed networked ecosystems. Nowhere are these changes more evident than as companies move quickly to capitalize on the disruptive opportunities of autonomous vehicles. [Full Story]

Related Topics:  Alumni  Automotive industry  Autonomous Vehicles  

Winter 2018: Randomness in Computation

Course No.: EECS 598-010
Credit Hours: 3 credits
Instructor: Christopher Peikert
Prerequisites: EECS 376 or EECS 477

Course Description:
Randomness and the tools or probability theory have proven central in many areas of modern science, and especially in computing and the design and analysis of algorithms. This course will expose students to a wide variety of randomized algorithms and the main techniques (linearity of expectation, the second moment method, Chernoff bounds, martingales, and the probabilistic method) used to analyze them. The course also will explore applications of these tools to analyze random combinatorial objects and deterministic algorithms applied to random inputs drawn from some distribution.

Advanced topics may include: the Lovasz Local Lemma, Talagrands inequality, streaming algorithms, quantum computation, approximation algorithms, semidefinite programs, probabilistic proof systems, cryptographic protocols, and others. (The choice of advanced topics will depend on the interests of the students and instructor.) [More Info]

Cassie Blue Makes Her Debut

Prof. Jessie Grizzle invited the Associated Press to record the new bipedal robot's first steps around North Campus. Watch the video. [Full Story]

Related Topics:  Grizzle, Jessy  Robotics and Autonomous Systems  

New Funding for High-Fidelity Nerve Mapping Research

The NIH's Stimulating Peripheral Activity to Relieve Conditions (SPARC) program awarded a U-M project $1 million in funding to develop highly-compliant microneedle arrays for peripheral nerve mapping. The team's project director and principal investigator is John Seymour. [Full Story]

Related Topics:  Brain  Health  MEMS and Microsystems  Optoelectronics  Yoon, Euisik  

Winter 2018: Optics and Quantum Spectroscopy of Semiconductors

Course No.: EECS 598-004
Credit Hours: 3 credits
Instructor: Mack Kira
Prerequisites: PHYSICS 240 and (EECS 320 or 334 or 434 or 520 or 540)

Course Description:
Rough Syllabus: This lecture will provide a pragmatic and brief introduction to solid-state theory, many-body formalism, and semiconductor quantum optics to explore pragmatic possibilities for nanotechology. As a central theme, the coupling of the quantized light field to electrons is investigated in detail, while the many-body Coulomb interaction of charge carriers is fully included. In this context, we will analyze which quantum effects and quasiparticles optical experiments can detect and control in terms of excitonic effects, plasmonics, quasiparticle accelerators, and ultrafast spectroscopy. To extend the quantum ideas further, we will follow how including quantum fluctuations of light to laser spectroscopy will transform it to quantum spectroscopy, a new realm where dropleton, entanglement, quantum memory etc. effects can be explored. [More Info]

Winter 2018: Motion Planning

Course No.: EECS 598-003
Credit Hours: 3 credits
Instructor: Dmitry Berenson
Prerequisites: Linear algebra (e.g. MATH 214) and significant programming experience (e.g. EECS 281)

Course Description:
Motion planning is the study of algorithms that reason about the movement of physical or virtual entities. These algorithms can be used to generate sequences of motions for many kinds of robots, robot teams, animated characters, and even molecules. This course will cover the major topics of motion planning including (but not limited to) planning for manipulation with robot arms and hands, mobile robot path planning for non-holonomic constraints, multi-robot path planning, high-dimensional sampling-based planning, and planning on constraint manifolds. Students will implement motion planning algorithms in open-source frameworks, read recent literature in the field, and complete a project that draws on the course material. [More Info]

Winter 2018: Patent Fundamentals

Course No.: EECS/ENGR 410
Credit Hours: 4 credits
Instructor: Mohammed Islam
Prerequisites: Open to all students

Course Description:
Have you ever had a great idea, then discovered that someone else was using it? Do you wish you could protect your inventions? Learn how to get a patent and protect your rights. In this course, you will write your own patent application and learn how to shepherd it through the Patent Office. The basics of Patent Law are covered, including patentable subject matter, novelty, obviousness, specification and claims of a patent, and claim drafting. Both patent prosecution and litigation topics are covered. This course is open to all undergrad and grad students -- technical background not required. [More Info]

Winter 2018: Internet Foundations

Course No.: EECS 498-002
Credit Hours: 2 credits
Instructor: Mohammed Islam
Prerequisites: MUST BE TAKEN PASS/FAIL

Course Description:
This course introduces students to the fundamentals of the internet. You use the internet every day, and in this course we permit you to look under the hood to see the basics of how the internet works. The course is specifically intended for students who do not specialize in computers or computer science. We start by reviewing the differences between various applications, such as world wide web, skype, and Bit-Torrent. The 4-layer internet model will be explained, which includes the application, transport, network and link layers. Application layer examples include WWW, HTTP, email, DNS and P2P Applications. The two most commonly used Transport Layer protocols are TCP and UDP. The Internet uses IP as the Network Layer, and routers perform the IP layer functions. The Link Layers used most commonly include Ethernet (wired) and IEEE 802.11 or WiFi (wireless). Other topics covered briefly include Wireless and Mobile Networks, Software Defined Networks, Data Center Networks and Network Security. By taking this course you will have a better appreciation of how computer networks work and how your computer communicates over the internet. [More Info]

U-M, Cavium partner on big data research computing platform

U-M and Cavium, a provider of semiconductor products founded by Syed Ali (MSE EE 1981), will create a powerful new big data computing cluster available to all U-M researchers. This will enable processing of massive amounts of data generated by remote sensors in distributed manufacturing environments, or by test fleets of automated and connected vehicles. [Full Story]

Related Topics:  Alumni  Data and Computing  

Students Visit Detroit Companies with ECE Expeditions

Students traveled to Detroit and visited DTE Energy and Ford Motor Company over two days in October to learn first-hand about how their studies apply to future careers and to interact with employees and alumni. [Full Story]

Related Topics:  Automotive industry  Power and Energy  

Winter 2018: Power System Markets and Optimization

Course No.: EECS 598-007
Credit Hours: 3 credits
Instructor: Johanna Mathieu
Prerequisites: EECS 463 or permission of instructor

Course Description:
This course covers the fundamentals of electric power system markets and the optimization methods required to solve planning and operational problems including economic dispatch, optimal power flow, and unit commitment. The course will highlight recent advances including convex relaxations of the optimal power flow problem, and formulations/solutions to stochastic dispatch problems. Problems will be placed in the context of actual electricity markets, and new issues, such as incorporation of renewable resources and demand response into markets, will be covered. All students will conduct an individual research project. [More Info]

Winter 2018: Network Information Theory

Course No.: EECS 598-005
Credit Hours: 3 credits
Instructor: Sandeep Pradhan
Prerequisites: EECS 501 or equivalent

Course Description:
With the emergence of numerous applications, such as 5G and IoT, involving different types of communication networks, such as packet-switched networks, wireless sensor networks and mobile cellular wireless networks, there has been a significant interest in obtaining a deeper understanding of transmission, storage and processing of information in these networks.

Network information theory deals with information in communication networks, i.e., obtaining optimal performance limits as well as ecient information processing strategies to achieve these limits in such networks. A communication network is modeled as a system involving many transmitters and receivers working with many information sources and channels. There have been several exciting new developments in the recent past in this area. [More Info]

Student Spotlight: Laser Cooling with Laura Andre

Laura Andre believes coming to pursue her PhD at U-M is one of the best decisions in her life. And, she loves to let others know her experience. The stars just aligned, says Andre. [Full Story]

Related Topics:  Graduate Students  Lasers  Optics and Photonics  Student Profile  

U-M Receives $1.6M Toward Artificial Intelligence for Data Science

A team from the University of Michigan has received $1.6 million from the Defense Advanced Research Projects Agency to help develop a toolkit so that anyone can use big data to help answer questions and ultimately speed up the process of discovery. [Full Story]

Related Topics:  Artificial Intelligence  Balzano, Laura  Big Data  Computer Vision  Corso, Jason  

Cooling off with Lasers

Prof. Stephen Rand and his team are studying how to use lasers to cool down solid matter. Besides breaking common notions about lasers, there are several applications for the refrigeration of solids with light. [Full Story]

Related Topics:  Lasers  Optics and Photonics  Rand, Stephen  

Precise pulses explore light's magnetism

A new laser will investigate an unusual magnetic effect that may lead to efficient solar energy harvesting. The new laser facility is housed in the Center for Dynamic Magneto-Optics (DYNAMO), directed by Prof. Stephen Rand. [Full Story]

Related Topics:  Lab-Optics and Photonics  Lasers  Optics and Photonics  Power and Energy  Rand, Stephen  

Evigia Founder Navid Yazdi Creates Essential Sensor Networks

There is a bit of magic inside all the devices that Navid Yazdi (PhD EE 1999) creates. This magic is what first interested him in electrical engineering, is what he explored during his PhD, and is what drives his work as Founder and CEO of Evigia Systems. [Full Story]

Related Topics:  Alumni  Entrepreneurship  

Footsteps All Her Own: The Unexpected Journey of Father-and-daughter Raytheon Engineers

Katherine Herrick followed many of the footsteps her father has left throughout his engineering career, and now is leaving footsteps of her own at Raytheon. [Full Story]

Related Topics:  Alumni  Diversity and Outreach  

Doubling the power of the world's most intense laser

The most intense laser in the world is about to get a power upgrade with $2 million from the National Science Foundation. With more laser energy to focus, researchers at the University of Michigan and collaborators from around the world can make better tabletop devices that produce particle and X-ray beams for medical and national security applications and also explore mysteries in astrophysics and the quantum realm [Full Story]

Related Topics:  Center for Ultrafast Optical Science (CUOS)  HERCULES  Lab-Optics and Photonics  Lasers  Maksimchuk, Anatoly  Nees, John A.  Optics and Photonics  Willingale, Louise  

Tony Fadell Leaves Silicon Valley Behind

Tony Fadell (BSE CE 1991) searches for investments for his venture firm Future Shape while he continues to build roots in Paris and recommends against Silicon Valley. [Full Story]

Related Topics:  Alumni  

Meet Some ECE Solar Car Team Members

Meet some of the students who helped make history as Michigan's solar car team finishes 2nd in the World Solar Challenge, its best finish ever! [Full Story]

Related Topics:  Student Teams and Organizations  

University of Michigan Solar Car Team finishes 2nd in world challenge

In its best finish ever in the World Solar Challenge, America's top solar car team took second place in the 1,800 mile race across the Australian Outback, powered only by the sun. Michigan was one of only two top teams that raced a skinny, monohull car - a radical departure from the proven catamaran design that dominated the field. "This is indescribable," said team member and CE student, Patrick Irving. The University of Michigan interdisciplinary student-run team, winner of six American Solar Car Challenges, unveiled the car, Novum, meaning "new thing" in Latin, just this past summer. [Full Story]

Related Topics:  Student Teams and Organizations  

Third annual MIDAS research symposium emphasizes an interdisciplinary approach to data analysis

Big data, data science and analytics were among the main topics discussed at the third annual Michigan Institute for Data Science daylong research symposium Wednesday, Oct 11, at Rackham Auditorium and the Michigan League. Alfred Hero, co-director of MIDAS and professor of electrical engineering and computer science, spoke about how this diverse set of speakers aligns with the theme of the symposium, "A Data-Driven World: Potentials and Pitfalls." [Full Story]

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

Jing Xiao Will Lead WPI Robotics Engineering Program

Jing Xiao (MS PHD CICE 1984 1990) will join Worcester Polytechnic Institute in January as Director of the Robotics Engineering Program, which was the first such program when it began in 2007. Xiao is currently Professor of Computer Science at University of North Carolina. [Full Story]

Related Topics:  Alumni  Robotics and Autonomous Systems  

Precision Health at Michigan

Learn more about Michigan's new initiative to lead in precision health: using advanced tools and technology to provide personalized solutions to improve an individual's health and wellness. Lead by co-director Eric Michielssen. [Full Story]

Related Topics:  Applied Electromagnetics and RF Circuits  Big Data  Health  Michielssen, Eric  Signal & Image Processing and Machine Learning  

Almantas Galvanauskas Elected OSA Fellow for his Work with Fiber Lasers

Prof. Almantas Galvanauskas has been elected Fellow of OSA, the Optical Society, "for contributions to the science and technology of high power fiber lasers, novel fiber structures, nonlinear interactions in fibers and fiber lasers, and fiber laser beam combining." [Full Story]

Related Topics:  Galvanauskas, Almantas  Lab-Optics and Photonics  Optics and Photonics  

John Nees Elected OSA Fellow for his Work with Ultrafast Lasers

John Nees has been elected Fellow of OSA, the Optical Society, "for contributions to the development of short pulse high rep rate laser technology as well as to the science of high intensity short pulse laser interactions with matter." [Full Story]

Related Topics:  Center for Ultrafast Optical Science (CUOS)  Lab-Optics and Photonics  Nees, John A.  Optics and Photonics  

Zetian Mi Elected OSA Fellow for his Work with Full-color LEDs and More

Prof. Zetian Mi has been elected Fellow of OSA, the Optical Society, "for contributions to the development of high performance III-nitride nanowire photonic devices, including full-color light emitting diodes, electrically injected ultraviolet lasers, and artificial solar fuel technology." [Full Story]

Related Topics:  Lab-Optics and Photonics  Mi, Zetian  Optics and Photonics  

Claude Shannon: Juggling Ones and Zeros

His inventions spanned the spectrum from playful to paramount, from robotic Rubik's cube solvers to a flame-throwing trumpet. [Full Story]

Related Topics:  Information Technology  Language and Text Processing  Robotics and Autonomous Systems  

Using University of Michigan buildings as batteries

Michigan researchers and staff are testing how to use the immense thermal energy of large buildings as theoretical battery packs. The goal is to help the nations grid better accommodate renewable energy sources, such as wind and solar. [Full Story]

Related Topics:  Energy Science and Engineering  Hiskens, Ian  Infrastructure  Lab-Michigan-Power-and-Energy(MPEL)  Mathieu, Johanna  Power and Energy  Sustainability  

Student's digital art makes the Cube even more interactive

CE junior Keenan Rebera wants to make the Michigan Union's famous Cube sculpture even more interesting with the power of technology. Rebera has designed a small sensor array and display device that attaches magnetically to the Cube. When active, it can detect the velocity of the Cube when a person spins it and generate any number of fun factoids to show off [Full Story]

Related Topics:  Student Profile  

Historic Satellite Launch Brings U-M History to Space

An interdisciplinary team of Michigan students, including several from ECE, is working to design and launch the Michigan Bicentennial Archive (M-BARC), a space-based time capsule to celebrate the 200th anniversary of U-M. The capsule will be attached to a small satellite called a CubeSat and is planned to orbit Earth for 100 years in Geosynchronous Transfer Orbit (GTO) the first CubeSat to enter orbit that high above the Earth. [Full Story]

Related Topics:  Student Teams and Organizations  

Bionic heart tissue: U-Michigan part of $20M center

Scar tissue left over from heart attacks creates dead zones that don't beat. Bioengineered patches could fix that. The University of Michigan is partnering with center leader Boston University and Florida Int. University on an ambitious $20 million project to grow new heart tissue for cardiac patients. Lead U-M researcher is Prof. Stephen Forrest. [Full Story]

Related Topics:  Forrest, Stephen  Health  Solid-State Devices and Nanotechnology  

Ambiq Micro Powers the Latest Huawei Wearables

Scott Hanson (BSE MSE PhD EE), founder and CTO of Ambiq Micro, developed the Apollo2 platform to efficiently run application code and process sensor data with minimal power, allowing for more uses between battery charges. Because of its performance, Huawei uses the Apollo2 in its latest fitness wearables, including the Huawei Band 2 Pro. [Full Story]

Related Topics:  Alumni  

Putting Headphones Back on New iPhones

Dr. Allan Evans (MSE PhD EE 2007 2010), co-founder of Avegant, launched a new Kickstarter project with Eric Migicovsky, the Pebble smartwatch creator. The team created an iPhone battery case with room for the easy-to-lose AirPods. [Full Story]

Related Topics:  Alumni  

Hygieia Expanding Access to Better Insulin Management

After success with patients in Northern Ireland, Hygieia led by CEO Eran Bashan (PhD EE:S 2008) signed an agreement with Spirit Healthcare to offer its digital insulin guidance throughout the United Kingdom. [Full Story]

Related Topics:  Alumni  Entrepreneurship  

Getting People Moving: Walking Exoskeletons Could Mobilize Disabled Patients

PhD student Omar Harib, postdoctoral researcher Ayonga Hereid, and PhD student Eva Mungai spent four days in July working with French company Wandercraft in Paris. The company's goal is to create an exoskeleton that will allow patients that are paralyzed from the waist down to walk upright, with a natural gait and the freedom to use their hands. [Full Story]

Related Topics:  Control Systems  Grizzle, Jessy  Health  Lab-Systems  Robotics and Autonomous Systems  

Latest two-legged walking robot arrives at Michigan

Built to handle falls, and with two extra motors in each leg, the new robot called Cassie Blue will help U-M roboticists take independent robotic walking to a whole new level. [Full Story]

Related Topics:  Control Systems  Grizzle, Jessy  Robotics and Autonomous Systems  

All ECE News for 2017