Research News

Could censorship end the internet as we know it? Not if Roya Ensafi can help it.

Fourteen researchers presented work on accelerating genome sequence alignment, fast multi-GPU systems, and more reliable data center caches.

The award recognizes Prof. Wenisch’s contributions to memory persistency and energy-efficient systems.

Technology could capture household information without recording speech.

A new method enables robot arms to build a tower of champagne glasses.

The papers dealt with issues of accessibility, privacy, and consent in technology.

Prof. Mosharaf Chowdhury is leading development of a new machine learning application that will protect the privacy of participants.

Election security expert J. Alex Halderman dissects Antrim County’s election debacle to help future contests go more smoothly.

Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.

The paper introduces new hardware and software design principles to improve the performance of several important large-scale irregular workloads.

This project is part of Kapritsos’ larger goal of bringing formal verification to developers and other practitioners.

University of Michigan’s MORPHEUS technology emerges unscathed from bug bounty effort.

A new wireless system can sense when N95 facemasks are properly decontaminated in moist-heat.

Twelve students and faculty co-authored papers spanning several key application areas for AI.

The Michigan Game Studios database, developed by lecturer Austin Yarger, helps organize the state’s rapidly growing scene.

The technique turned out to be a significant and long-lasting development for microprocessor design.

Microphones that “hear” light; microprocessors that “tell” us secrets; self-driving cars that “see” fake objects; sensors that “feel” the wrong temperature. Our devices are under attack in new, increasingly sophisticated ways. Security researchers at CSE are exploring the limits of hardware and finding new, sobering vulnerabilities in our computers and homes.

Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.

Embedding coding into high school history class; building eBooks to broaden participation in computing; and rolling out digital tools for collaborative K-5 learning. Michigan researchers are taking on the big challenges to integrating computing into everyone’s education.

How automated guarantees that our most complex programs are secure and trustworthy can save us time, money, and anxiety.

Today, over 225 million websites are protected by free certificates issued by Let’s Encrypt.

The winning paper broke open a new area of investigation in hardware-based data leaks.

The new technique automatically constructs policies for applications that keep them from compromising other programs.

Censored Planet is releasing technical details for other researchers and for activists.

The awards were distributed to 18 different primary investigators.

PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.

Expert advice for voting in an unprecedented election.

The award recognizes early career faculty who show great promise in developing future computing technologies.

The system automatically proves the trustworthiness of a hardware design, outperforming the competition in nearly every category.

New real-time employer dashboards provide “live-feed of data” as employees report their symptoms while also safeguarding users’ data privacy.

Computing is a tool for getting things done. Let’s teach it that way.

K-5 teachers and students throughout Michigan are building thriving learning communities online by using free deeply-digital, standards-aligned curricula and platform developed by the U-M Center for Digital Curricula.

Prof. Roya Ensafi and PhD candidate Reethika Ramesh led organizing efforts for USENIX’s Tenth Workshop on Free and Open Communications on the Internet.

The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.

Ironpatch could head off growing danger of security vulnerabilities in vehicle systems.

U-M instructors like David Chesney are working to put next-gen interactive technology to use in the classroom and beyond.

A new secure code is needed to protect private information from the power of quantum computing.

A new system called Leap earned a Best Paper award at USENIX ATC ‘20 for producing remote memory access speed on par with local machines over data center networks.

Kasikci will sift through the byproducts of hundreds of millions of common program executions to determine how this data can automate some key steps in bug finding and fixing.

The two organizations will connect their membership and partner networks to work on advancing security for life-saving devices.

Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.

The approaches to energy adaptation he proposed are now commonplace, and the applications he analyzed (web browsers, voice recognition, video players, and maps) are still ubiquitous.

“The technology can give users the confidence they deserve when reusing respirators or other PPE.”

“I don’t think any of us expected a global pandemic at the end of our senior year, let alone being able to work on an application that helps address it.”

The model is a practical method for robots to look for target items in complex, realistic environments.

The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.

The system targets software that runs using concurrent execution, a widespread method for boosting performance, and proves whether a program will output what it’s supposed to.

The system can add more flexibility to task management apps to help learning users make informed decisions about their time.

The upcoming presidential election in the middle of a pandemic has jurisdictions exploring new technologies. They’re not secure.

The web tools will help state officials identify potential hotspots as they reopen Michigan to business.

The symposium highlighted new developments in computer architecture, and included a session on how the center's research can contribute to limiting the impact of pandemics.

The projects impact voting systems, physical sensors, integrated circuit fabrication, and multiple microarchitectural side-channel vulnerabilities.

The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.

“My research has the potential to democratize programming and make it possible for millions of people around the globe to automate otherwise tedious tasks using programming.”

Graphical online simulation could spur more targeted COVID-19 protection measures.

Predictive model could help care providers stay safe, anticipate patient needs.

Daily webinars available for teachers interested in exploring the free customizable tools.

Researchers are working with the city on two key initiatives to address food availability for elderly and low-income populations.

The team will build high-quality datasets to enable automatic quality checking and fraud detection of the new coronavirus data.

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

The student’s project targets critical moments where the next instruction in a program is only available in a slower type of memory.

The analytical model, called Accelerometer, can be applied in the early stages of an accelerator’s design to predict its effectiveness before ever being installed.

Collaborative website launched while U-M researchers continue advanced testing.

Subarno Banerjee uses program analysis to improve software systems’ safety and security.

Goel designs algorithms that can automatically demonstrate the correctness of hardware systems.

The team will use fMRI to identify some of the underlying processes that occur when a code reviewer weighs in on a piece of software and its author.

Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic.

The team says their framework can scalably and semi-automatically monitor the use of filtering technologies for censorship at global scale.

Computational caches are an emerging technology based on the use of a processors cache space to perform computations.

Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.

A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.

The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.

Akshitha Sriraman works to enable hyperscale computing on high-demand web services.

Researchers carried out the first study on voter behavior with electronic assistive devices, found 93% missed incorrect ballots.

The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.

The open-source system cuts a key step in chip testing down from days or weeks to a couple hours, on average.

The proposal provides a chip-level safeguard against sensitive data being transmitted after it’s accessed.

A Q&A with J. Alex Halderman, who co-founded the nonprofit organization.

The nation is using inexpensive commodity equipment to block 170K domains on more than 1K privately-owned ISPs.

The newly discovered microphone vulnerability allows attackers to remotely inject inaudible and invisible commands into voice assistants using light.

The new system is designed to save security researchers time and effort spent reverse-engineering the message format of every vehicle they study.

Technology pioneered by Michigan researchers can circumvent many effective website blocking tools

The authors argue that modern children already think with computation after being shaped by the prolific digital tools that fill their lives

The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.

Researchers designed three new systems to speed up code at several key bottlenecks.

The team's new tool will combine of software and data to make gathering structured data dramatically easier.

The researchers demonstrated that an adversary could remotely manipulate the temperature sensor measurements without tampering with the targeted system or triggering automatic temperature alarms.

Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.

Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

As a fungal infection ravages bat populations, the new game hopes to promote public awareness of ongoing research to combat the issue.

May Mobility intends to gradually acclimate the public to the experience of autonomous driving.

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.

Using real-time fMRI readings, researchers linked spatial reasoning with CS problem solving.

Erie provided database repairs that were previously performed exclusively by human programmers.

Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.

The research generated a chatbot to help users sift through important details in privacy policies.

The research suggests that common blacklist-based prevention systems are ineffective.

Mudge’s paper examined the power-saving needs of high-performance computing.

Voxel51 uses AI processing to identify and track objects and activities through video clips.

New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.

Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.

Perez’s research focuses on analyzing speech patterns of patients with Huntington Disease.

Edge Fabric offers providers real-time performance analysis and a way to incorporate this data into routing decisions.

The goal of the work was to identify seven things about who the subject was talking to just by analyzing text messages.

Chowdhury’s work has produced important results that can make memory in data centers both cheaper and more efficient.

Eckert is working to expand the role of memory and give it a dual responsibility to both store and compute data.

Danai Koutra has earned an Army Young Investigator Award to speed up graph methods for distributed applications.

MORPHEUS can encrypt and reshuffle code thousands of times faster than human and electronic hackers.

The meeting began the commission’s review and assessment of election security in Michigan.

Sensing technology could keep seniors safe.

The effort seeks to protect the integrity of every vote.

Chowdhury connects all unused memory in a data cluster and treats it as a single unit.

Chowdhury’s lab multiplied the number of jobs a GPU cluster can finish in a set amount of time

In congressional testimony, professor urges $370M in federal funding to replace outdated machines.

Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants

Kasikci presents a method to improve a program’s ability to use data in a straightforward, efficient way

To meet computing demand in a post Moore’s Law future, Das develops new architectures that improve performance by orders of magnitude.

“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”

Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.

McDonald works to develop better privacy and security tools for marginalized communities

Censored Planet could provide new insight into the flow of online information

Kassa is developing a framework that will look at the computations of an application and decide in real time which components will best handle it

The efforts of computing education researcher Mark Guzdial span the challenges facing a young field

Michigan Engineering researchers led by Prof. Pinaki Mazumder have created a new chip interconnect technology using terahertz surface-wave interconnects that will enable ultra fast data transmissions.

By harnessing the power and speed of graphics processing units, a University of Michigan startup can dramatically accelerate gene sequencing, shortening tasks that took multiple days to a single hour.

This conversational in-vehicle digital assistant can respond to drivers’ questions and commands in natural language

SkyCore is a complete software solution to deploying mobile networks on unmanned drones

The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time

A team of researchers unearthed new data on geographic denial of access to web content in a new paper.

A new special topics course on election cybersecurity gives students an examination of the past, present, and future of US elections.

From quantum physics to computer systems: a profile of Pinaki Mazumder, professor of electrical engineering and computer science.

The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.

A Q&A with machine learning expert Emily Mower Provost.

Researchers used hierarchical trees to provide a better idea of how concepts are represented and related in a collection of text.

Researchers have implemented a new way to diagnose software failures with a high degree of accuracy and efficiency.

“The work is an important step towards understanding how to make tradeoffs between usability and security.”

New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.

Genome sequencing could be as affordable as a routine medical test with highly efficient computing.

System sniffs out fakes up to 76 percent of the time.

Patches can provide protection.

DARPA’s initiative to reinvigorate the microelectronics industry draws deeply on Michigan Engineering expertise.

Transmuter can change how programs use the hardware available to them in real time, effectively acting as a reconfigurable computer.

U-M team will serve as model for nimble and innovative system-on-chip design.

Foofah is a tool that can help to minimize the effort and required background knowledge needed to clean up data.

The most exciting use of AI for me focuses around a better collective use of our available resources, says Prof. Corso.

Jie Song devised a method to combine summarized datasets that group information by incompatible units.

This year’s model, “Phoebe,” received a major design overhaul that gave her a speed boost and new codebase that can be used for years to come.

Rada Mihalcea is a rock star professor of Electrical Engineering and Computer Science at U-M’s College of Engineering and a champion for the growth and retention of women in that field.

When it comes to their smartphones, immigrants struggle to apply instinctive caution, according to a study by a team of University of Michigan researchers.

This award is given to the VLDB paper published ten years earlier that has had the most influence since its publication.

The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching.

A new approach recreates the power of a large server by linking up and pooling the resources of smaller computers with fast networking technology.

PhD student Jean Young Song offers an improved solution to the problem of image segmentation.

Five college teams test robotic suits that could enhance humans’ abilities.

A large quantum computer could retroactively decrypt almost all internet communication ever recorded.

Three researchers with Michigan CSE affiliations have won the the best paper award at the 14th Workshop on Silicon Errors in Logic – System Effects (SELSE).

U-M profs weigh new business model, European-style regulation

Professor Alex Halderman and the New York Times staged a mock election to demonstrate voting machine vulnerability.

Tara Safavi’s research focuses on scalable and adaptive data mining algorithms using tools like hashing and sampling.

The vulnerability allows an attacker to manipulate a new intelligent traffic control algorithm and cause severe traffic jams.

Model successfully applied to data from medical centers with different patient populations, electronic health record systems

In this video, CSE PhD Student Matt Bernhard weighs in on the matter Facebook data harvesting, such as that done by Cambridge Analytica.

The system is currently being used by IEEE and ACM, and helps them enforce their new 30%-policy.

What happened to people inside the U.S. Embassy in Havana?

‘We’ve demonstrated a scenario in which the harm might have been unintentional.’

A new radiation-hardened, multi-processor, Arm-based spacecraft processor is being developed at Michigan in a project led by Boeing and funded by NASA.

Other investors include Detroit Venture Partners, Maven Ventures, SV Angel, Tandem Ventures, Trucks Ventures, and YCombinator.

The award is for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies.

Automated chatbot uses artificial intelligence to weed through fine print

The debate was held at the American Museum of Natural History and was hosted by Neil deGrasse Tyson.

External factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on one’s emotion level throughout the day.

The researchers, including Prof. Harsha Madhyastha and CSE graduate students Vaspol Ruamviboonsuk and Muhammed Uluyol, received prize for their paper, “Vroom: Accelerating the Mobile Web with Server-Aided Dependency Resolution.”

Censys is the first commercially available internet-wide scanning tool. It helps IT experts to secure large networks with a constantly changing array of devices.

‘You shouldn’t need a Ph.D. to design new computing systems.’

The researchers say they’re making an unsolvable puzzle: ‘It’s like if you’re solving a Rubik’s Cube and every time you blink, I rearrange it.’

A long-standing tenet of the internet was overturned today.

How much can your cellphone reveal about where you go?

On Dec. 14, the FCC will vote on the rules that today ensure internet service providers treat all web content equally.

Prof. Peikert and his co-author received the award at the Fifteenth Theory of Cryptography Conference for their paper on efficient collision-resistant hashing on cyclic lattices.

Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s “10 Most innovative CEOs in Banking 2017” list. Clinc is leading the pack for development of intelligent banking assistant software.

Prof. John Hayes and CSE graduate student Paishun Ting received the award for their paper entitled “Eliminating a Hidden Error Source in Stochastic Circuits.”

Their paper introduces a new programming language and tool called Vale that supports flexible, automated verification of high-performance assembly code.

Increasingly, market manipulators are attacking market integrity through complex computer-controlled attacks.

Word associations vary across different demographics, allowing researchers to build better natural language processing models if they can account for demographics.

Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.

Prof. Ackerman recognized quite early how social context could harness computing technologies for the development of systems in expertise finding and sharing, as well as in collaborative information access.

New Vroom software could double its speed.

With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).

Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.

Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.

Researchers have developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system.

The identified changes in social media behavior may point to real events and changes, some of which can benefit from intervention.

CSE students designed technology for a fellow student who returned after a decade away because of a brain hemorrhage.

Bugs that are not caught before a product is released can cost companies billions of dollars.

The Michigan Aeronautical Science Association (MASA) won the first ever Spaceport America Cup, an intercollegiate rocket engineering competition with over 110 teams from colleges and universities in eleven countries.

His remarks focused on vulnerabilities in the US voting system and a policy agenda for securing the system against the threat of hacking.

New software finally makes ‘memory disaggregation’ practical.

‘Open port’ backdoors are common.

This award recognizes the paper published 15 years ago (2002) that has had the biggest impact on the field

Researchers have for the first time characterized a widespread vulnerability in the software that runs on mobile devices.

Michigan Engineering researchers discuss and demonstrate the sound-based attacks they leveled at the accelerometers found in everyday electronics.

Michael Wellman, a U-M Engineering professor, recently took part in a workshop to anticipate and prevent possible adverse outcomes of artificial intelligence.

Clinc has built Finie, the world’s most advanced voice-controlled A.I. platform for banking.

Prof. Madhyastha seeks to enable the cloud provider to monitor traffic on behalf of all the web services hosted on its platform.

Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.

Das’ research seeks to design specialized data-centric computing systems that dramatically reduce time and energy required to move data from storage to computing units.

Prof. Mao has led inquiries into issues of Internet routing, measurement and security, wide-area and enterprise network management, malware behavior analysis and host-based security in general.

Mywater-Flint is an app built to help with the Flint water crises funded by Google and developed by Michigan Engineers.

Michigan Engineering professor Kevin Fu spoke in front of congress on Nov. 16, 2016.

Prof. Madhyastha’s recent research has focused on enabling latency-sensitive web services to optimize user experience.

She recently helped develop a modular load tester platform for data centers, which is designed to help measure and mitigate tail latency.

Finie, which can be referred to as the “Siri” of personal banking, is an artificial intelligence platform for banks that helps customers talk to their bank accounts in a natural and conversational way.

Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.

Researchers at the University of Michigan have developed an algorithm that can analyze and measure the amount that one candidate linguistically matches their opponent and have found that matching your opponent in a debate leads to higher polling numbers.

This project aims to improve goal-directed dexterous robotic manipulation in cluttered and unstructured environments.

The USENIX Test of Time Awards recognizes papers presented at its respective conference from at least 10 years ago that have had a lasting impact on their fields.

Still, it’s not guaranteed, as seen in Amazon’s same-day delivery service. Algorithm designers may not even realize a problem has crept in.

DROWN allows attackers to break encryption used to protect HTTPS websites and read or steal sensitive communications.

Clinc has built Lucida, its state-of- the-art, open-source intelligent assistant and machine learning platform that allows developers and the open-source community to easily create and deploy personalized voice and vision-based intelligent assistants.

Vulcan, the intelligent robotic wheelchair, aims to help the elderly and those with disabilities effortlessly move around their environment.

In order to bring HTTPS to everyone, Prof. Halderman joined forces in 2012 with colleagues at Mozilla and the Electronic Frontier Foundation to found Let’s Encrypt, a non-profit certificate authority with the mission of making the switch to HTTPS vastly easier.

Cogitai was formed with the aim of developing AI technology that empowers machines to learn from interaction with the real world.

The SIGMOD Test of Time Award recognizes the best paper from the SIGMOD proceedings 10 years prior.

The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery.

One of the paper describes and demonstrates a malicious hardware backdoor. The other demonstrated security failings in a commercial smart home platform.

High tail latency has been identified as one of the key challenges facing modern data center design.

A frequent call market may help prevent ‘flash crashes.’

Klotski seeks to improve users’ perceptions of how quickly a page loads by maximizing the amount of important content on the page that is fetched and displayed within the user’s attention span.

This innovative software guides users through the process of collecting a set of images of a calibration target.

Prof. Emily Mower Provost is collaborating to develop new technologies that provide individuals with insight into how the disease changes over time.

Prof. Chowdhury bridges the gap between application-level performance and network-level optimizations through the coflow abstraction.

The two papers from Michigan introduced the Sirius personal digital assistant and the MBus bus for modular microcomputing systems.

Hsin-Hao’s thesis provides efficient algorithms for fundamental graph problems that arise in networks.

This device could not only be useful in the ICU or field hospital setting, but also during long military patient transport, and especially in situations in which limited personnel and resources are available.

New security ramifications exist when laptops and smartphones configured for enterprise systems are used outside the enterprise in the realm of the wider web.

Not all online traffic is the same; should we treat it the same anyway?

Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.

CSE students and faculty will collaborate as a part of a larger team to help respond to the crisis.

New vulnerabilities form when hardware like electronic locks, thermostats, ovens, sprinklers, lights and motion sensors are networked and set up to be controlled remotely.

The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.

GridWatch can detect power outages by monitoring changes to its own power state, locally verifying these outages using a variety of sensors that reduce the likelihood of false power outage reports, and corroborating actual reports with other phones through data aggregation in the cloud.

Faculty members Edwin Olson and Ryan Eustice are joining TRI as area leads.

Healthcare security company Virta Laboratories, Inc. has received a $750,000 grant from the National Science Foundation Small Business Innovation Research (SBIR) program.

Yu-Wei is a third year PhD student whose research focuses on computer vision and machine learning.

Prof. Wiens will continue to use machine learning techniques to study the disease.

The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.

His research addresses the problem of diminishing reliability in future computer systems.

He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.

His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.

The M3 is a fully autonomous computing system that acts as a smart sensing system.

The project aims to create a new software stack for analytics over geo-distributed datasets.

Her primary research interests lie at the intersection of machine learning and healthcare.

Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.

The award will enable Prof. Mars to understand how future cloud and mobile systems should be designed to support increasing demand from users of intelligent assistants.

Let's Encrypt allows anyone to request a free website security certificate without needing an invitation.

The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.

The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research.

The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.

The solution Ford and U-M are working on involves high-resolution 3D maps. U-M researchers have developed these maps and Ford’s test vehicles are equipped with them.

In their paper, the researchers present the first report on global adoption rates of SMTP email security extensions.

U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.

The researchers are finding a solution to implement state-of-the-art vision systems in wearable devices where there is little heat dissipation

The scope of the project consists of a number of thrusts including a key research collaboration led by Profs. Edwin Olson and Ryan Eustice, who are playing a leading role in the development of the critical sensing and decision-making found in the Ford test vehicles.

Such tactics, even if effective in reducing crime, raise civil liberty concerns.

Diffie-Hellman is a popular algorithm used for encrypted communications, including emails VPNs, HTTPS, and other protocols where a client and server negotiate a shared secret key for communication

This project strives to positively impact the availability and reliability of the Internet and provide the security community with tools, platforms, and comprehensive vulnerability measurement data.

The paper proposes an interactive natural language interface for relational databases, which enables novice users to construct complex queries.

Their Powerblade project is the smallest, lowest cost, and lowest power AC plug-load meter that measures real, reactive and apparent power, and reports this data over Bluetooth.

Virta Laboratories was co-founded in part by Prof. Kevin Fu and former CSE postdoctoral researcher Denis Foo Kune.

The paper addresses the question of whether introducing an interactive textbook into introductory STEM courses can improve student grades.

In their study, the researchers took a computational approach to studying the contest to gain insights into what differentiates funny captions from the rest.

Over the next year, U-M researchers will develop autonomy capabilities and build a mobile phone interface users can use to request a ride.

Dr. Dreslinski conducts research in the area of energy efficient processor architectures

Duc is interested in using the computer’s modeling power to better understand the inner workings of the human mind, and using this understanding to create more intelligent software programs.

The two winning papers were selected from a field of 127 full paper submissions in the main technical track.

It describes their work in measuring important network phenomena for debugging problems at the edge of a cellular network.

In an unusual turn of events, we've tied with ourselves for this one.

The CE Lab is the successor to the Department’s Advanced Computer Architecture Lab (ACAL).

The proposed work investigates computational methodologies to differentiate emotion perception patterns of healthy controls and individuals with Major Depressive Disorder or Bipolar Disorder.

His 1992 paper describes problems associated with utilizing conventional compiler support for predicated execution, a technique for dealing with conditional branches in application programs, on superscaler processors. It introduces the hyperblock, a structure to overcome those shortcomings.

Mao’s goal was to create a diagnosis tool to achieve responsive and energy-efficient mobile apps that work well in diverse network conditions.

Dutta’s research has pioneered practical, low-power platforms and wireless protocols for pervasive sensing, computing, and communications.

Prof. Halderman’s research interests span software security, network security, data privacy, anonymity, electronic voting, censorship resistance, digital rights management, computer forensics, ethics, and cybercrime, as well as the interaction of technology with law, governmental regulation, and international affairs.

Schoenebeck's research is in theoretical computer science, linear and semidefinite programs, the intersection of computer science and social networks, the intersection of computer science and economics, NP-complete optimization problems, and computational complexity theory.

Abernethy's research is in machine learning, with additional interests in game theory, decision theory, optimization, market mechanism design, and other financial applications.

HiJack is a hardware/software platform that utilizes the headset jack on a smartphone as a universal power/data interface.

Prof. Deng’s primary research interest is in the area of computer vision, with a focus on image and video understanding, human computation, and large-scale machine learning.

The technology enables self-driving cars to navigate using a single video camera, delivering the same level of accuracy as laser scanners at a fraction of the cost.

Congratulations to the following CSE Faculty recipients of 2014-15 College of Engineering Awards.

Computer science is proving to be a great way to get popular!

This event is a semiannual tradition among CS theorists in the Midwest.

More than 110 people gathered to collaborate and problem-solve.

So went the vote held in the debating chamber of the University of Cambridge Union.

Protean Code is an enabling technology for dynamically recompiling native applications and rebalancing the use of Warehouse Scale Computers resources as demands dictate.

A project is underway which will offer a free, automated, and easy process for converting webservers from HTTP to HTTPS that is implemented with a single command.

The research team performed a comprehensive, measurement-based analysis of the impact of the recent Heartbleed vulnerability.

She computationally measures, represents, and analyzes human behavior data to illuminate fundamental human behavior and emotion perception, and develop natural human-machine interfaces.

The paper focuses on computational methods to analyze single cell data in order to obtain a better understanding of how cells process signals.

Plaza’s paper provides key insights into neuronal computations.

The book introduces and evaluates algorithms used during physical design to produce a geometric chip layout from an abstract circuit design, and presents the essential and fundamental algorithms used within each physical design stage.

His research focus is on addressing concurrency issues in mobile and cloud systems, which increasingly rely upon event-driven programming and customized processor accelerators.

The goal of the research is to revolutionize how Municipal Solid Waste (MSW) is managed to provide a transformative means of extracting utility-scale energy from waste.

Deng’s research in computer vision focuses on image and video understanding through big visual data, human computation, and large-scale machine learning.

The paper presents a new visual localization algorithm that allows an autonomous car to precisely know where it is at with sub-lane precision.

A weakness believed to exist in Android, Windows and iOS operating systems could be used to obtain personal information from unsuspecting users, research at the University of Michigan has shown.

The 12th International Linguistics Olympiad (IOL) was held in Beijing, China from July 21 through 25th, 2014.

The paper addresses how to manage multiple sources so that the user can maximize the information gained from each acoustic source.

All of the research being presented focuses on getting the absolute best performance from the tiniest circuits, sensors, and electronic devices.

The project proposes to produce a parallel heterogeneous 3D near-threshold computing system with unprecedented energy efficiency.

The research addressed voltage scaling of processors at the point where, at very low voltages, voltage leakage begins to dominate the computational power consumption.

This research is expected to have a fundamental and long term impact on a diverse set of applications ranging from energy conservation to health care.

The contest is highly competitive and features the best student projects from the largest and most prestigious conferences in their respective fields.

Their paper introduces new techniques that improve speed, solution quality, simplicity, and integration with other optimizations for global placement technology.

The research funded by Google involves redesigning servers and data centers to improve their energy efficiency.

The monitoring system will collect data from surface and penetrating sensors, then wirelessly relay the information to an inspector on site or miles away.

The winning paper describes a commercial prototype processor that targets wireless baseband processing for the next generation of cellular phones.