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CS Alum travels Africa by motorcycle, planting the seeds of programming

Levi Weintraub (BSE CS 2006) left his job at Google to travel the world. He has ended up in Tanzania, where he has set up an IT training program. [Full Story]

Related Topics:  Alumni  

Raymond Fok selected as finalist for CRA UG research award; two others receive honorable mention

CS undergraduate student Raymond Fok was selected as a finalist for CRA's Outstanding Undergraduate Researcher Award. The award program recognizes undergraduate students in North American colleges and universities who show outstanding potential in an area of computing research. [Full Story]

Related Topics:  Undergraduate Students  

Reimagining how computers are designed: University of Michigan leads new $32M center

The Center for Applications Driving Architectures, or ADA, at the University of Michigan will develop a transformative, "plug-and-play" ecosystem to encourage a flood of fresh ideas in computing frontiers such as autonomous control, robotics and machine-learning. [Full Story]

Related Topics:  Bertacco, Valeria  Computer Architecture  Lab-Computer Engineering (CE Lab)  

U-M startup May Mobility blazes toward autonomous fleet market

May Mobility, co-founded and led by Prof. Edwin Olson, has tested its autonomous vehicles on the streets of Downtown Detroit. The startup recently licensed five autonomous driving related technologies from U-M, and outside of the life sciences, is the most successful UM startup in raising first round of funding so quickly. [Full Story]

Related Topics:  Autonomous Vehicles  Lab-Artificial Intelligence  Olson, Edwin  Robotics and Autonomous Systems  

CSE Researchers Funded to Enhance Online Communication

Profs. Danai Koutra and Walter Lasecki have been awarded two grants from Trove.ai, an Ann-Arbor based artificial intelligence startup, to develop novel methods and tools that will unleash the power of online communication. [Full Story]

Related Topics:  Koutra, Danai  Lab-Artificial Intelligence  Lab-Software Systems  Lasecki, Walter  

New bill could finally get rid of paperless voting machines

Prof. J. Alex Halderman is quoted on the the vulnerabilities that exist in voting machines, why paper backup is a practical solution, and the approaches that should be taken in auditing election results. [Full Story]

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

Integrity of Data: Medical Device Cybersecurity Concerns

This article highlights the work Prof. Ken Fu is doing to highlight and mitigate security shortcomings in medical devices and other devices that include embedded processing systems. [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  Medical Device Security  

DARPA Takes Chip Route to "Unhackable" Computers

This article in EE Times quotes Prof. Todd Austin on his DARPA-funded MORPHEUS project, which will use computer circuits that are designed to randomly shuffle data around a computer system in order to thwart hackers who are looking for the location of a bug or valuable data. [Full Story]

Related Topics:  Austin, Todd  Computer Architecture  Lab-Computer Engineering (CE Lab)  Security and Privacy (Computing)  

Computer Games Showcase Highlights New Games Built by CS Seniors

Tishman Hall in the Beyster Building hosted the ever-popular Computer Games Showcase, which allows attendees to wade into a CS mosh pit and play the final projects developed by computer science seniors in EECS 494, Computer Game Design and Development. [Full Story]

Related Topics:  Undergraduate Students  

A New Type of Computer Could Render Many Software Hacks Obsolete

This article quotes Prof. Todd Austin on his DARPA-funded MORPHEUS project, which will use computer circuits that are designed to randomly shuffle data around a computer system in order to thwart hackers who are looking for the location of a bug or valuable data. [Full Story]

Related Topics:  Austin, Todd  Computer Architecture  Lab-Computer Engineering (CE Lab)  Security and Privacy (Computing)  

Unhackable Computer Under Development with $3.6M DARPA Grant

By turning computer circuits into unsolvable puzzles, a University of Michigan team aims to create an unhackable computer with a new $3.6 million grant from the Defense Advanced Research Projects Agency. Todd Austin, a professor of computer science and engineering, leads the project, called MORPHEUS. [Full Story]

Related Topics:  Austin, Todd  Computer Architecture  Lab-Computer Engineering (CE Lab)  Security and Privacy (Computing)  

Jenna Wiens Named Morris Wellman Faculty Development Professor

Jenna Wiens, assistant professor in Computer Science and Engineering, has been named a Morris Wellman Faculty Development Professor. The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Wiens, Jenna  

A Case Against Net Neutrality

In this opinion piece, Prof. Harsha Madhyastha makes that point that an entirely neutral net is not necessarily an efficient net. In order for us to operate optimally, he says we need to answer the question: How can we legally define the permissible ways an ISP could throttle or prioritize traffic in a manner that does not place undue burden on ISPs, yet is verifiable by third parties? [Full Story]

Related Topics:  Lab-Software Systems  Madhyastha, Harsha  Networking, Operating Systems, and Distributed Systems  

Do Robots Deserve Human Rights?

In this article, Discover reached out to experts in artificial intelligence, computer science and human rights to shed light on whether or not robots should be given human rights. Prof. Kuipers talks about why robots do not deserve the same rights as humans. [Full Story]

Related Topics:  Kuipers, Benjamin  Lab-Artificial Intelligence  

Kevin Fu Elected IEEE Fellow for Contributions to Embedded and Medical Device Security

Prof. Fu is an expert on the subject of creating trustworthy embedded computing systems that are resistant to attack. He has served in several national leadership roles to advise government on science, technology, and policy to improve computer security and privacy. He is a cofounder of healthcare cybersecurity startup VirtaLabs [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  Medical Device Security  Security and Privacy (Computing)  

An armed robber's Supreme Court case could affect all Americans digital privacy for decades to come

Prof. HV Jagadish writes in this article for The Conversation about the data privacy challenges presented by a world in which our devices continuously record and track our activities. [Full Story]

Related Topics:  Big Data  Jagadish, HV  Lab-Software Systems  Mobile and Networked Computing  Security and Privacy (Computing)  

Winter 2018: Organic Electronic Devices and Applications

Course No.: EECS 598-001
Credit Hours: 3 credits
Instructor: Stephen Forrest
Prerequisites: Senior level quantum mechanics, junior level electronic devices

Course Description:
Today, there is a revolution in optoelectronics: OLED displays are used in billions of smart phones, televisions, tablets and smart watches worldwide. They are now coming into use in lighting for both residential and automotive applications. Organic solar cells are achieving 15% efficiencies, bringing them to the cusp of generating a new, ultralow cost renewable energy source. Contemporaneously, the fundamental understanding of organic semiconductors used in these emerging applications has been a subject of intense study for over 70 years, and in many cases is still not fully understood. In this course, we will trace the history, science and modern applications of organic electronic technology. Since some students have taken the first course on this topic in W17, only the first few weeks of the course will provide the fundamental physics of organics primarily as a review. This will include the basics of the optical and electrical properties of organic semiconductors. Next, we will discuss how organics are deposited and patterned to achieve thin film device structures. The bulk of the class material is concerned with device physics, engineering and applications. In particular light emission from OLEDs, their various structures and adaptations for high efficiency displays and lighting will be discussed. This is followed by a treatment of organic thin film transistor physics and applications for sensing, medical applications etc. The course is concluded by a comprehensive treatment of organic solar cells: their status, efficiency limits, reliability, as an energy harvesting technology will be described.
[More Info]

Winter 2018: Control and Modeling of Power Electronics

Course No.: EECS 598-002
Credit Hours: 3 credits
Instructor: Al Avestruz
Prerequisites: Familiarity with classical control concepts

Course Description:
Transformative technologies in energy conversion will be smarter, faster, and more reliable. This class will address the control and modeling of acdc, dcac, and dcdc power electronic systems. Topics include smallsignal models; digital and analog control; switched, sampleddata, and averaged models; large signal considerations; distributed power conversion; computer modeling in PLECS, MATLAB/Simulink, and LTSpice; and other advanced topics. Design cases may include audio switching power amplifiers, peak power point tracking for renewables and energy scavenging, resonant converters for wireless power transfer, power factor correction, and grid connected converters among others.
[More Info]

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]

Student-Built App Guides Smithsonian Gallery Visitors Through Ancient Asian Art Exhibit

Visitors to the Smithsonian's Freer|Sackler Galleries in Washington DC will be guided through an exhibit on ancient Asian art by an app developed by a team of UM students through the Multidisciplinary Design Program. The exhibit and app trace the historic pilgrimage of 8th century Korean monk Hyecho to provide context for the exhibit. [Full Story]

Related Topics:  Jamin, Sugih  Undergraduate Students  

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  

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  

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 and Privacy (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]

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)  

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]

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 and Privacy (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]

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  

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]

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  

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 and Privacy (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 and Privacy (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 and Privacy (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 and Privacy (Computing)  Shin, Kang G.  

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 CSE News for 2018