Electrical Engineering and Computer Science

EECS News

HV Jagadish Elected as Fellow of the American Association for the Advancement of Science

HV Jagadish, the Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science and a distinguished scientist at the Michigan Institute for Data Science, has been elected as a fellow of the AAAS for distinguished contributions to database systems and many aspects of Big Data and data science, specifically for new ways to share data. [Full Story]

Related Topics:  Big Data  Data and Computing  Jagadish, HV  Lab-Software Systems  

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  

Ada Lovelace Opera and Lightning Talks Highlight Women's Contributions to Computing

A creative event designed to showcase women's contributions as computer scientists took place November 16. The Ada Lovelace Opera began with eight TED-style lightning talks by female faculty and students at UM who are engaged in cutting-edge computing research. The talks were followed by an opera on Ada Lovelace's establishment as the research partner of inventor Charles Babbage in the 1840s, which was performed by students in the School of Music, Theatre & Dance. [Full Story]

Related Topics:  Graduate Students  Mihalcea, Rada  Women in Computing  

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  

2017 CSE Graduate Student Honors Competition Highlights Outstanding Research

CSE held its fourteenth annual CSE Graduate Student Honors Competition on November 8. The top presentation competition was "Analyzing and Enhancing the Security of Modern Memory Systems," given by Salessawi Ferede Yitbarek, who represented CSE's Hardware research area. [Full Story]

Related Topics:  Graduate Students  

Prof. Chris Peikert Receives TCC Test of Time Award for Work in Lattice Cryptography

Chris Peikert, the Patrick C. Fischer Development Professor in Theoretical Computer Science, and his co-author Alon Rosen have received the TCC Test of Time Award for their paper on efficient collision-resistant hashing on cyclic lattices. The award is a recognition of a long line of works by Prof. Peikert and others who laid the foundations for practically efficient lattice-based cryptography. [Full Story]

Related Topics:  Lab-Theory of Computation  Peikert, Chris  Security (Computing)  

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  

Prof. Reetuparna Das Inducted into the MICRO Hall of Fame

Assistant Professor Reetuparna Das has been inducted into the IEEE/ACM MICRO Hall of Fame, an honor given to outstanding researchers with eight or more papers at the International Symposium on Microarchitecture. MICRO is the flagship conference for microprocessor architecture and one of the top-tier computer architecture conferences. [Full Story]

Related Topics:  Das, Reetuparna  Lab-Computer Engineering (CE Lab)  

Michigan Researchers Win Best Paper Award at DFT 2017

John P. Hayes, Claude E. Shannon Professor of Engineering Science, and CSE graduate student Paishun Ting have received the Best Paper Award at the 30th IEEE Symposium on Defect and Fault Tolerance for their work in eliminating a hidden source of error in stochastic circuits. [Full Story]

Related Topics:  Computer Architecture  Computer-Aided Design & VLSI  Graduate Students  Hayes, John  Lab-Computer Engineering (CE Lab)  

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  

Securing the vote: How 'paper' can protect US elections from foreign invaders

This story on security problems with voting quotes Prof. J. Alex Halderman, who says that "Although there is no evidence that any past election in the United States has been changed by hacking, it is in my opinion only a matter of time until one is." [Full Story]

Related Topics:  Halderman, J. Alex  Lab-Software Systems  Security (Computing)  

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]

Prof. Jason Mars is Bringing Smart Banking to Market

Ann Arbor-based spinout Clinc, which was founded by CSE Profs. Jason Mars and Lingjia Tang, along with their former students Michael Laurenzano and Johann Hauswald, in 2015, is leading the pack of intelligent banking assistant solutions. Their flagship product, called Finie, is being adopted by a number of banks. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Mars, Jason  Tang, Lingjia  

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]

UM Student Programming Team Advances to ACM-ICPC World Finals in Beijing

A UM programming team has qualified to advance to the prestigious 2018 ACM International Collegiate Programming Contest World Finals in Beijing after regional competition. Five UM teams, coached by Prof. Kevin Compton, competed at regionals. [Full Story]

Related Topics:  Compton, Kevin  Data and Computing  Undergraduate Students  

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  

FDA Spells Out When Medical Device Modifications Need Review

Bill Aerts, Deputy Director at the Archimedes Center in CSE, is quoted in the article about new FDA guidance for manufacturers of medical devices regarding software patches for security purposes. Also quoted is Ben Ransford, co-founder and CEO of cybersecurity firm Virta Laboratories, a CSE spinout. [Full Story]

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  

The newest AlphaGo mastered the game with no human input

In this article, Prof. Satinder Singh Baveja is quoted from his commentary on the Nature article regarding DeepMind's use of unassisted reinforcement learning in the AlphaGo Zero system. He points out that AI programs like AlphaGo Zero, which can gain mastery of tasks without human input, may be able to solve problems where human expertise falls short. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

DeepMind has a bigger plan for its newest Go-playing AI

In this article, Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero. Prof. Baveja reinforces the notion that with reinforcement learning, AI systems do not necessarily need human expertise. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

DeepMinds Go-playing AI doesnt need human help to beat us anymore

In this article, Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero. "Over the past five, six years, reinforcement learning has emerged from academia to have much more broader impact in the wider world, and DeepMind can take some of the credit for that," says Prof. Baveja. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

DeepMind's latest AI breakthrough is its most significant yet

In this article, reinforcement learning expert Prof. Satinder Singh Baveja comments on DeepMind's findings published in Nature regarding AlphaGo Zero's breakthrough performance and indicates that it could be one of the biggest AI advances so far. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  

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  

Why the Krack Wi-Fi Mess Will Take Decades to Clean Up

This article quotes Prof. Kevin Fu, who says "For the general sphere of IoT devices, like security cameras, we're not just underwater. We're under quicksand under water." [Full Story]

Related Topics:  Fu, Kevin  Lab-Software Systems  Security (Computing)  

Duo Security raises $70 million at a valuation north of $1 billion

Duo Security, based in Ann Arbor, was founded by alums Jon Oberheide (CSE PhD 2011) and Dug Song (CS BS 1997) in 2009. Congrats to them! [Full Story]

Related Topics:  Alumni  Security (Computing)  

VAuth tech feels your voice in your skin

This article describes VAuth, the new thechnology that supplements voice authorization developed in the lab of Prof. Kang G. Shin. [Full Story]

Related Topics:  Lab-Software Systems  Networking, Operating Systems, and Distributed Systems  Security (Computing)  Shin, Kang G.  

Wearables to boost security of voice-based log-in

Voice authentication is easy to spoof. New technology could help close this open channel. [Full Story]

Related Topics:  Lab-Software Systems  Networking, Operating Systems, and Distributed Systems  Security (Computing)  Shin, Kang G.  

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  

All EECS News for 2017