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Artificial Intelligence

How can we harness the power of modern computers and massive sets of data to help us solve complex problems?

Can we train computers to “learn” on their own without incorporating our own assumptions and biases? Medicine, autonomous vehicles, image analysis, advertising, robotics … AI has an impact on all aspects of life in the 21st Century.

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Aerospace Engineering
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Biomedical Engineering
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Chemical Engineering
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Computer Engineering
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Data Science
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Electrical Engineering
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Robotics Tile
Robotics

Senior hires stand out in an impressive year for faculty hiring

The cohort of 36 new tenured and tenure-track faculty includes 11 faculty hired at the rank of professor or associate professor.

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U-M celebrates Leinweber Computer Science and Information Building construction

Housing Computer Science and Engineering together with the School of Information will drive advances in information and computing through a convergence of disciplines.

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Breakthrough in green micro-LEDs for augmented/mixed reality devices

Prof. Zetian Mi’s team are the first to achieve high-performance, highly stable green micro-LEDs with dimensions less than 1 micrometer on silicon, which can support ultrahigh-resolution full-color displays and other applications.

Seeing electron movement at fastest speed ever could help unlock next-level quantum computing

New technique could enable processing speeds a million to a billion times faster than today’s computers and spur progress in many-body physics.

Walking and slithering aren’t as different as you think

New mathematical model links up slithering with some kinds of swimming and walking, and it could make programming many-legged robots easier.

Photosynthesis copycat may improve solar cells

The new approach moves energy efficiently and could reduce energy losses converting light into electricity.

Next generation neural probe leads to expanded understanding of the brain

The hectoSTAR probe, with 128 stimulating micro-LEDs and 256 recording electrodes integrated in the same neural probe, was designed for some stellar brain mapping projects

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In the news: Michigan Engineering experts July 25-29

Highlights include CNN and Popular Science.

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In the news: Michigan Engineering experts July 18-22

Highlights include The New York Times and National Geographic.

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Open source platform enables research on privacy-preserving machine learning

Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.

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Toward manufacturing semitransparent solar cells the size of windows

A peel-off patterning technique could enable more fragile organic semiconductors to be manufactured into semitransparent solar panels at scale.

Machine learning begins to understand the human gut

The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.

Solar-powered chemistry uses carbon dioxide and water to make feedstock for fuels, chemicals

Producing synthesis gas, a precursor of a variety of fuels and chemicals, no longer requires natural gas, coal or biomass.

Emulating impossible “unipolar” laser pulses paves the way for processing quantum information

Quantum materials emit light as though it were only a positive pulse, rather than a positive-negative oscillation.

Graphene-hBN breakthrough to spur new LEDs, quantum computing

Study uncovers first method for producing high-quality, wafer-scale, single-layer hexagonal boron nitride

Immune to hacks: Inoculating deep neural networks to thwart attacks

The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks.

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ECE alum Mihir Sheth receives Young Innovator Award from Innovate UK for making a medical device that weans patients off ventilators quicker

Sheth is the co-founder of Inspiritus Health and has developed a simple to use, non-invasive medical device that keeps patients’ muscles engaged when they are on a ventilator to prevent muscle atrophy.

Open-source patient model tops industry standard

Tested without needing hospitals to share data, the method for developing the model could speed further improvements in medical prediction tools.

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U-M, Humotech partner to bring open-source bionic leg to research labs

The partnership will expand the capabilities of other labs, and enable them to conduct high-impact research.

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$1.7M to build everyday exoskeletons to assist with lifting, walking and climbing stairs

The modular exoskeleton system will help workers and the elderly, boosting ankle, knee and/or hip joints by mounting new motors to off-the-shelf orthotics.

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$1M for open-source first-responder robots

An open-source perception and movement system, to be developed with NSF funding, could enable robots that partner with humans in fires and disaster areas.

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“Robot assistants” project aims to reinvent construction industry

$2M project aims to partner humans with robots for safer jobsites.

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Faster path planning for rubble-roving robots

Splitting the path into difficult and easy terrain speeds up path planning for robots that use “hands” to maintain balance on uneven ground.

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Helping robots learn what they can and can’t do in new situations

What should a robot do when it cannot trust the model it was trained on?

U-Michigan, Ford open world-class robotics complex

The facility will accelerate the future of advanced and more equitable robotics and mobility.

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Powering robots: biomorphic batteries could provide 72 times more energy than stand-alone cells

The researchers compare them to fat deposits in living creatures.

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Space motor helps make robotic prosthetic leg more comfortable and extends battery life

Getting rid of some gears enabled a free-swinging knee, regenerative braking and brought the noise level down from vacuum cleaner to fridge.

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Technology that serves all: a single step could pave the way

Lights in the labs – and eyes – of researchers coming back to work

‘Noncritical’ in-person research begins ramping up, with public-health protocols.

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Delivery robots help Ann Arbor restaurants weather COVID

U-M startup says robotic food deliveries have quadrupled.

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Stronger, faster, further

Charting a path to powered exoskeletons: A Q&A with Leia Stirling

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‘It’s like you have a hand again’

An ultra-precise mind-controlled prosthetic.

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What humans want, in an automated car

U-M researchers examined how a person’s perception of safety in an autonomous vehicle was influenced by its “personality” traits.

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Roofing drone nails down shingles

Automated drone does work at the same speed as a novice roofer, researcher says.

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Teaching self-driving cars to predict pedestrian movement

Data gleaned from cameras and sensors increases predictive accuracy.

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M-Air autonomous aerial vehicle outdoor lab opens

Michigan Engineering now hosts advanced robotics facilities for land, air, sea, and space.

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Latest two-legged walking robot arrives at Michigan

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

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New U-M Robotics Building named in honor of Ford Motor Company gift

The gift will accelerate construction.

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U-M first in line for new bird-inspired walking robot

Crashworthy biped expected to run faster than an 8-minute mile and conquer the Wave Field.

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MARLO makes initial attempt at the Wave Field

For now, Grizzle and his graduate students are only attempting the easiest routes, between the grassy two- to three-foot moguls, over smaller undulations that he calls “merely very difficult.”

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Update: Augmented reality engineering startup lands $1.1M SBIR grant

University of Michigan to explore inventive uses for the technology, including material science, biology and medicine

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Calculating the best shapes for things to come

A new algorithm efficiently determines optimal shapes for structures.

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Augmented reality for testing nuclear components

A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data.

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Individual finger control for advanced prostheses demonstrated in primates

An electrode array implanted in the brain predicts finger motions in near real time.

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Machine learning links material composition and performance in catalysts

Understanding how to design better catalysts could enable sustainable energy tech and make everyday chemicals more environmentally friendly.

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Live public street cams are tracking social distancing

Virtually visit (what should be) desolate intersections around the world during COVID-19.

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Could a smartwatch identify an infection before you start spreading it?

A wrist-worn device detected disrupted sleep 24 hours before study participants began shedding flu viruses.

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Shutting down backup genes leads to cancer remission, in mice

Cancer cells delete DNA when they go to the dark side, so a team of doctors and engineers targeted the “backup plans” running critical cell functions.

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Durable coating kills the COVID virus and other germs in minutes

Polyurethane locks in the antimicrobial power of tea tree and cinnamon oils. The new technology could start making public spaces safer within a year.

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University of Michigan partners on multi-institution planning effort for state’s water future

Work for the Michigan Department of Environment, Great Lakes and Energy will develop a policy roadmap to safe, low cost water services.

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$2.38M to test nano-engineered brain cancer treatment in mice

A protein that crosses the blood-brain barrier carries a drug that kills tumor cells and another that activates the immune system.

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Nanobiotics: model predicts how nanoparticles interact with proteins

Nano-engineered drugs that stop harmful bacteria and viruses could be on the horizon.

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Tumors partially destroyed with sound don’t come back, in rats

Technique pioneered at the University of Michigan could improve outcomes for cancer and neurological conditions.

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Interdisciplinary study seeks to mitigate transmission of respiratory viral diseases such as flu and COVID-19 in children

Michigan Engineering researchers will help reveal pathways for virus detection and transmission

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Recovery from muscle loss injuries hindered by immune cell conflicts

Studies in mice show how the two of the body’s natural injury responders conflict following traumatic muscle injuries.

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Twisted vibrations enable quality control for chiral drugs and supplements

Terahertz light creates twisting vibrations in biomolecules such as proteins, confirming whether their compositions and structures are safe and effective.

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How well do boosters work? Depends on your genes

Computer modeling links a person’s genes to whether producing more antibodies will help them fight off the disease.

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New photonic effect could speed drug development

Twisted semiconductor nanostructures convert red light into the twisted blue light in tiny volumes, which may help develop chiral drugs.

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New $13.8M center at U-M will study infectious disease, pandemic preparedness

The multidisciplinary research team ​​will synergize efforts across the University.

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Michigan Engineering group creates model for layering COVID-19 defenses

The model can be used as a tool to inform decision-makers and individuals on relative risks and advantages associated with a layered defense.

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Wastewater to drinking water: EPA grants $1.2M to U-M for virus removal study

In preparation for climate adaptation in water-stressed areas, researchers will assess how well existing treatment systems prepare water for reuse.

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Predicting how well a vaccine will work for you

A conventional approach to HIV vaccination does not induce immune responses in everyone equally, and a new computer model shows why.

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Carbon fiber brain-implant electrodes show promise in animal study

Material and size designed to give electrodes a chance to operate in the body for years.

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Michigan researchers get $5.3M to expand COVID-19 wastewater monitoring

“Wastewater-based epidemiology has shown to be a valuable tool to inform public health officials of case levels and infection trends in a community.”

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New protein engineering method could accelerate the discovery of COVID-19 therapeutics

The method could one day be used to develop nanobodies against other viruses and disease targets as well.

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A resilient campus

How engineers are applying their expertise for future planning.

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Coughs create complicated airflows. A new project explores how they spread viruses

U-Michigan and Auburn researchers will use cough simulators, lasers, mannequins, human subjects and computational modeling.

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N95 mask disinfection: New evidence on how hospitals can effectively recycle key PPE

First-of-its-kind study examined multiple pathogens, as well as filtration and fit.

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Light-twisting ‘chiral’ nanotechnology could accelerate drug screening

A new approach makes liquid-crystal-like beacons out of harmful amyloid proteins present in diseases such as Type II diabetes.

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More responsive COVID-19 wastewater test developed

Measuring RNA from SARS-COV-2 allows for more accurate testing than similar methods.

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Treating autoimmune disorders with an inhaler, rather than an IV

Research in mice shows efficacy for multiple sclerosis.

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Personal cold plasma “air curtain” design for COVID-19 protection moves forward

Medical giant Johnson & Johnson and federal HHS select U-M design with “minimal impact on daily life.”

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Stress test

Amid six months of tumult and chaos, engineering researchers moved quickly and collaboratively with public health officials, producing vital research in the fight against COVID-19.

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Lab-on-a-chip offers faster means of identifying best plasma donors in COVID fight

University of Michigan collaboration with Hackensack Meridian CDI offers new pathway to identify antibodies.

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New treatments for deadly lung disease could be revealed by 3D modeling

Traditional 2D research may rule out better treatment options.

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U-M spinout Asalyxa Bio developing inflammatory treatment platform, aiding COVID-19 patients

The company’s technology delivers an anti-inflammatory agent directly to overreactive neutrophils, minimizing harm from “cytokine storms.”

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A new look at an inevitable problem: muscle loss in aging

Studies in mice give clues to combatting changes in muscle stem cells.

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The science behind campus bus changes during COVID-19

Engineers used smoke machines, physics-based modeling and route optimization algorithms to quantify risk.

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How big data could optimize COVID-19 testing

Microsoft-supported project to coordinate site locations, supply distribution.

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Study suggests method to starve pancreatic cancer cells

Rather than attacking cancer cells directly, new cell-model research probes weaknesses in pancreatic cancer’s interactions with other cells to obtain nutrients needed for tumor growth.

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Wireless sensors for N95 masks could enable easier, more accurate decontamination

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

Hunger and COVID: Fighting pandemic-related food insecurity in Detroit

Public policy and engineering team up to improve food access.

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Turning faces into thermostats

An autonomous HVAC system could provide more comfort with less energy.

The post Turning faces into thermostats appeared first on Engineering Research News.

How rod-shaped particles might distract an out-of-control immune response

When white blood cells don’t know when to stop, an injection of rod-shaped particles may draw them away from a site of excessive inflammation.

The post How rod-shaped particles might distract an out-of-control immune response appeared first on Engineering Research News.

Web app, dashboard from U-M to inform Michiganders’ return to work

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

Engineering immunity: Profiling COVID-19 immune responses and developing a vaccine

As COVID-19 looks more like a disease of the immune system, a Michigan engineer is working with doctors to look at how immune responses differ between mild and severe cases.

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Faster than COVID: a computer model that predicts the disease’s next move

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

Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels

A major defense project pivots to explore how to encourage COVID-safe behavior effectively.

Teaching Machine Learning in ECE

With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the University

$20M NSF AI-EDGE Institute aims to transform 5G and beyond networks

U-M is a core member of a new NSF-led Institute that is a collaboration between 11 institutions, three government research labs, and four global companies.

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$7.5M MURI to make dynamic AI smarter and safer

Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.

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$5.2M for digital twins of nuclear reactors could bring down nuclear energy costs

Virtual copies of nuclear reactors could enable smarter maintenance for current reactors and more automation for advanced reactors.

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World’s most complex synthetic microparticle outdoes nature’s intricacy

Creating and measuring intricacy in particles that could improve electronics and chemical reactions.

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Deep learning AI discovers surprising new antibiotics

Deep-learning AI will help keep us ahead of drug resistant pathogens. By Sriram Chandrasekaran

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How an AI solution can design new tuberculosis drug regimens

A new method could replace trial and error drug development.

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How Russia’s online censorship could jeopardize internet freedom worldwide

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

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First programmable memristor computer aims to bring AI processing down from the cloud

Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.

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Advancing AI for Video: Startup launches powerful video processing platform

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

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‘Air traffic control’ for driverless cars could speed up deployment

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

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Online censorship detector aims to make the internet a freer place

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

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A new company, Omniscent, is sniffing out dangerous levels of toxic chemicals in the air

Subscription service offers real-time monitoring

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Detecting Huntington’s disease with an algorithm that analyzes speech

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

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Fake news detector algorithm works better than a human

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

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Chat tool simplifies tricky online privacy policies

Register for an account on just about any website or download an app to your smartphone and you likely will encounter that pesky, “I certify that I’ve read and understand the privacy policy,” check box. “Typically drafted by lawyers, these documents tell you, ‘This the information we’re collecting, this is how we’re processing it, this […]

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Swim with the robots, U-M on the Great Lakes

With a customized Iver 3 underwater drone, the Deep Robotic Optical Perception (DROP) Lab have a new set of underwater eyes that provide a window into the health of the world’s lakes and oceans.

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“Learning database” speeds queries from hours to seconds

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

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How predictive modeling could help us reopen more safely

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

Computer vision: Finding the best teaching frame in a video for fake video fightback

The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

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“Egg carton” quantum dot array could lead to ultralow power devices

By putting a twist on new “2D” semiconductors, researchers have demonstrated their potential for using single photons to transmit information.

$6.25 million to develop new semiconductors for artificial photosynthesis

An interdisciplinary team from four universities are developing a new class of semiconductors for novel artificial photosynthesis and the production of clean chemicals and fuels using sunlight, as part of a DoD MURI

Batteryless next-generation cellular devices could empower a more sustainable future

PhD student Trevor Odelberg is looking to enable long range, highly reliable, and low-power cellular IoT devices that one day can run entirely on harvested energy, reducing battery waste and empowering devices to last for decades.

Burn after reading

A self-erasing chip for security and anti-counterfeit tech.

Quantum tech: Semiconductor “flipped” to insulator above room temp

Discovery could pave the way to high speed, low-energy quantum computing.

Big data, small footprint

How changing the rules of computing could lighten Big Data’s impact on the internet.

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$1.8M DARPA project aims to protect cars, trucks and spacecraft from hackers

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

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Beyond Moore’s law: $16.7M for advanced computing projects

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

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New $32M center reimagines how computers are designed

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

Nanotech OLED electrode liberates 20% more light, could slash display power consumption

A five-nanometer-thick layer of silver and copper outperforms conventional indium tin oxide without adding cost.

The post Nanotech OLED electrode liberates 20% more light, could slash display power consumption appeared first on Engineering Research News.

Tracking Monarch Butterfly Migration with the World’s Smallest Computer

In a project funded by National Geographic, ECE researchers are teaming up with the department of Ecology and Evolutionary Biology to advance our understanding of monarch butterfly migration with the most ambitious iteration of the Michigan Micro Mote yet.

Community-builder Leon Pryor takes Detroit’s FIRST Robotics program to new heights

Having excelled in careers at Microsoft, Amazon, and now Meta, the alum and renowned video game engineer co-founded The Motor City Alliance to make Detroit a powerhouse for FIRST Robotics teams

Atkins chairs National Academies report on speeding discovery with automated research workflows

Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.

Research on modeling time-variant systems earns Brockett-Willems Outstanding Paper Award

Prof. Peter Seiler co-authored the paper that focuses on reachability analysis for a variety of systems, including aircraft control and autonomous vehicles.

Prof. Peter Seiler named IEEE Fellow for his impactful contributions to robust control theory

Seiler’s contributions to Matlab’s Robust Control Toolbox and to the control of vehicle platoons have resulted in major industrial applications.

Mimicking a human fingertip’s sensitivity and sense of direction for robotic applications

With the help of 1.6 million GaN nanopillars per sensor, the University of Michigan team was able to provide human-level sensitivity with directionality on a compact, easily manufactured system

3D motion tracking system could streamline vision for autonomous tech

Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype

Fairer AI for long-term equity

Prof. Mingyan Liu is a key member of a project to mitigate bias in Artificial Intelligence and Machine Learning systems for long-term equitable outcomes.

New grant to expand open source control software for an intuitive robotic prosthetic leg

University of Michigan researchers have been awarded an NSF grant to design an open source framework for robotic prosthetic legs that function more naturally and offer a wider range of capabilities.

The Wolverines Behind the Next Generation of Autonomous Vehicles

The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.

A World Record for Robotic Deep Freeze Walking

Cassie Blue, the bipedal robot, takes advantage of the 2019 polar vortex to set a record-breaking walk.

AI-powered Whatsapp Bot fights fake news in India

CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.

U-M researchers provide control software to ensure autonomous vehicles stay in their lane

The team was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.

Six teams of ECE researchers make the finals at AP-S/URSI 2019

Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.

SLAM-ming good hardware for drone navigation

Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.

More efficient machine vision technology modeled on human vision

Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications

Prof. Jason Corso on artificial intelligence

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

Paper award for training computer vision systems more accurately

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

Exoskeletons compete to boost strength of rescue workers

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

Dmitry Berenson receives NSF CAREER Award to advance a robot’s ability to handle soft objects

Berenson works to improve the ability of autonomous robots to handle soft, deformable objects.

Necmiye Ozay receives ONR Young Investigator Award to advance research in autonomous systems

Research will focus on how autonomous vehicles adapt to wide-ranging changes.

Getting people moving – Walking exoskeletons could mobilize disabled patients

Prof. Jessy Grizzle has long said that his work in robotics could one day be used to help the disabled. Now he and his group, alongside French company Wandercraft, are working to make that claim a reality in the form of walking exoskeletons.

BigANT tackles the wave field

Prof. Shai Revzen’s lab in ECE has developed an inexpensive technique to rapidly fabricate a variety of useful robots.

Dmitry Berenson helps robots play nice with people

Putting our arm movements into code.

Building more stable four-legged robots

A biologist turned roboticist takes a closer look at dog gaits to help design better movements for four-legged robots.

How to build a BigANT – Shai Revzen’s critter-inspired robots

How to build fast and cheap robots

Shai Revzen part of a new five-institution MURI focused on the control of dynamic systems

As a member of the DDOTS to PICS MURI, Revzen will advance modeling and control of dynamic systems.

CASSIE: A tougher, lighter bipedal robot with eyes

New walking robot based on birds

$1.1 million grant to develop robot emergency response capabilities

Office of Naval Research has awarded Dmitry Berenson, an assistant professor of Electrical Engineering and Computer Science, $1.1 million to help advance emergency response capabilities for robots.

COVE: a tool for advancing progress in computer vision

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

Necmiye Ozay receives NASA Early Career Faculty Award for research in cyber-physical systems

Prof. Ozay’s award-winning work will be used in future space missions

EECS research highlighted at 2016 Robotics: Science and Systems Conference

The University hosted the 2016 Robotics: Science and Systems Conference, which allowed attendees to hear about the latest in robotics through talks, presentations, workshops, and tutorials.

An award winning radar system for collision avoidance and imaging

Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.

Mike Flynn named Fawwaz T. Ulaby Collegiate Professor of Electrical and Computer Engineering

Flynn is one of the world’s premier scholars of analog and mixed-signal integrated circuits and systems, analog-to-digital conversion (ADC), and other interface circuits.

CHIPS and Science Act: Implications and Opportunities

The CHIPS and Science Act of 2022 promises to revitalize the U.S. semiconductor industry. Dennis Sylvester offers his perspective on what it means for ECE.

First light soon at the most powerful laser in the US

The ZEUS laser at the University of Michigan has begun its commissioning experiments

ZEUS Joins International Community of Extreme Light Virtuosos

As a member of the X-lites program, ZEUS joins an international community of extreme light labs working together to advance laser science for the benefit of society

Ester Bentley receives Impact award for her research with the goal of GPS-free navigation

Bentley presented her research as an NDSEG Fellow. She is working to make smaller, more affordable high accuracy navigation-grade gyroscopes.

2022 IEEE APS R. W. P. King Award recognizes new theory in computational electromagnetics

Patel and Michielssen developed the Wigner-Smith time delay matrix for electromagnetics.

Overcoming the efficiency cliff of red micro-LEDs for virtual/augmented reality

Prof. Zetian Mi leads a team that created highly-efficient red micro LEDs suitable for augmented and virtual reality.

New textbook provides hands-on guide for learning about chaotic dynamics and electronic circuits

The book was co-authored by ECE Master’s student Wesley Joo-Chen Thio and Professor Emeritus Julien Sprott of U Wisconsin.

Touheed Anwar Atif awarded Rackham Predoctoral Fellowship for his research on quantum information and quantum computing

Atif’s coding framework addresses quantum information network coding problems and has helped uncover new insights into the world of quantum information.

Ashley Jian receives Barbour Scholarship to further her research on high-power electronics

Jian works to improve the efficiency of high-power electronics for better energy security and sustainability.

Subhajit Mohanty awarded Richard and Eleanor Towner Prize for Distinguished Academic Achievement

Mohanty’s research is focused on advancing high electron mobility transistors for next generation wireless technologies.

Ashley Jian awarded Marian Sarah Parker Prize from the College of Engineering

Jian’s research is focused on improving the efficiency of high-power electronics, which is important for energy security and sustainability.

‘Exciton surfing’ could enable next-gen energy, computing and communications tech

A charge-neutral information carrier could cut energy waste from computing, now that it can potentially be transported within chips.

New understanding of neurons in the hippocampus: they’re all the same

A longstanding collaboration between engineers and neuroscientists leads to new insights into how neurons work in the hippocampus.

Research full speed ahead on manufacturable III-V materials for next-generation electronics

A recent breakthrough in ferroelectric III-V semiconductors at the University of Michigan has been followed by several advancements and new funding to bring the technology closer to market.

Prof. Heath Hofmann named IEEE Fellow for his impact in the areas of electric machinery and drive systems

Hofmann’s control technology has been implemented in commercial vehicles, and he works tirelessly to enhance opportunities for underrepresented students.

Prof. Euisik Yoon named IEEE Fellow for groundbreaking research in Bio-MEMS

Yoon’s research has contributed to a better understanding of the brain, as well as improved detection and treatment of cancer.

Prof. Zetian Mi named IEEE Fellow for his pioneering contributions to III-nitride photonics and clean energy

Mi’s research is impacting the future of alternative energy, as well as improved methods for water purification and air disinfection.

Egg-carton-style patterning keeps charged nanoparticles in place and suitable for a wide range of applications

Prof. Jay Guo and his team discovered a scalable way to settle down and precisely arrange micro- and nano-sized particles according to size

Elaheh Ahmadi receives DARPA Young Faculty Award to support future sensor and communication systems

Ahmadi’s research is focused on using GaN and Ga2O3 materials to provide higher output power per unit area at higher frequencies.

$1 Million DARPA contract to empower the wireless systems of the future

Prof. Elaheh Ahmadi is working to design a new kind of semiconductor that can provide high power at high frequencies

Michigan startup MemryX, Inc. promises faster, cheaper AI processing

The ECE startup builds neuromorphic computer chips uniquely suitable for AI applications

Snails carrying the world’s smallest computer help solve mass extinction survivor mystery

The study yields new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects

Dawn of nitride ferroelectric semiconductors for next-generation electronics

The ability to precisely tune electrical polarization switching through molecular beam epitaxy is a gamechanger

Profiles in ECE: Rucha Apte (MS ECE 2021)

From the internships that inspired her interest in signal & image processing and machine learning to late night study sessions at the Duderstadt to her background in classical dance, Master’s student Rucha Apte shares her journey with us.

ECE Lab Kit team recognized by the College of Engineering with the Team Staff Excellence Award

When the pandemic shut down in-person instruction, this six-member team created and delivered individual lab kits to 1,200 students around the world so hands-on lab experience could continue.

Prof. Pei Zhang solemnly swears that he’s up to some good

In a project he calls the “Marauder’s Map,” Prof. Zhang uses machine learning-based data models, physics models, and heuristic models to turn physical structures into sensing devices.

Research to advance low-power speech recognition highlighted by Intel

Michael Flynn and his group are applying their groundbreaking work in beamforming to the challenge of low-power on-chip speech recognition.

Elaheh Ahmadi receives CAREER Award to improve efficiency in high power electrical systems

The research could improve efficiency in systems such as electric vehicles, grid systems, mass transit, and industrial automation

Demba Komma awarded Microsoft Research Ada Lovelace Fellowship for research on IoT localization technologies

Komma, a PhD student, is working to develop robust low powered localization technology for Artificial Intelligence enabled Internet of Things in locations where GPS is limited or blocked.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors.

First digital single-chip millimeter-wave beamformer will exploit 5G capabilities

The digital beamforming chip offers significant advantages over current analog beamforming solutions.

Designing Synthetic Human Gut Microbiome with AI

Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut

Qing Qu receives CAREER award to explore the foundations of machine learning and data science

His research develops computational methods for learning succinct representations from high-dimensional data.

Hun-Seok Kim receives CAREER Award to facilitate Internet of Things connectivity

Kim takes an interdisciplinary approach to tackle challenges in heterogeneous classes of energy-efficient and versatile communication systems.

Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist

Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it

Mingyan Liu, 2018 Distinguished University Innovator, talks about her company and data science commercialization

Mingyan Liu, recipient of the 2018 Distinguished Innovator of the Year award, gave a talk about her startup company and participated on a panel discussing data science commercialiation.

$1.6M toward artificial intelligence for data science

DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.

Mingyan Liu: Confessions of a pseudo data scientist

Liu’s most recent research involves online learning, modeling of large-scale internet measurement data, and incentive mechanisms for security games.

MBus is the missing interconnect for millimeter-scale systems

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

Making smart dust a reality

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.

Leaders in ultra low power cicuits and systems presenting at VLSI Circuits Symposium

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

Decisive differences in healthcare AI

When decisions about your healthcare are informed by AI, bias in machine learning can have dire consequences. Ph.D. student Trenton Chang researches how inequities in healthcare delivery impact machine learning and AI.

Six new projects funded by LG AI Research  

The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.

U-M team reaches next phase of Amazon Alexa Prize SimBot Challenge

Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.

Prof. Xinyu Wang collaborates with UiPath to democratize automation

The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.

Natural Language Processing at Michigan Research Day

The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.

LG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M

The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.

David Fouhey receives NSF CAREER Award for vision system to perceive the interactive world

His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.

Joyce Chai named ACL Fellow for significant contributions to grounded natural language processing and the interaction between language processing and robotics

Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.

Generating 3D spaces from a single picture

New model PixelSynth creates an interactive experience given just a single image.

Helping autonomous agents make smarter decisions in chaotic environments

A new algorithm gives autonomous agents the ability to take in batches of multiple instructions at once while responding dynamically to changes in their surroundings.

Best paper award for a robot that can see and move transparent objects

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

Jaylin Herskovitz selected for NSF Graduate Research Fellowship

Through her work in augmented reality, Jaylin hopes to improve the accessibility of emerging technologies for people with disabilities and expand access to computing.

Sky CH Wang selected for NSF Graduate Research Fellowship

Through his work in NLP and computational social science, Sky hopes to understand complex social interactions and contribute towards the democratization of technology.

Zhizhuo Zhou selected for NSF Graduate Research Fellowship

Zhizhuo is interested in computer vision and its ability to make breakthroughs in interdisciplinary fields such as ecology and climatology.

CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship

The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.

Lu Wang earns CAREER Award to summarize long text with machine learning

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

Qi Zhang selected as first recipient of David J. Kuck Dissertation Prize

His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.

Seven papers by CSE researchers presented at AAAI 2021

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

Zeyu Zheng selected for JP Morgan PhD Fellowship

His work on reinforcement learning is aimed at accelerating the training of RL agents.

Incoming faculty Anhong Guo named one of Forbes’ 30 Under 30 in Science

This distinction recognizes young researchers with exceptional promise who are having an impact on the world.

Student NASA award supports work on more dexterous, collaborative space robots

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

New research teaches AI how people move with internet videos

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.

Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award

The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.

Baris Kasikci earns CAREER Award to automatically improve software quality with data from everyday program use

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.

Model helps robots think more like humans when searching for objects

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

AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic

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

Research on human biases in AI learning earns best student paper award

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.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

Computer scientists employ AI to help address COVID-19 challenges

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

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

CSE researchers present 9 papers at leading AI conference

The students and faculty submitted projects spanning several key application areas for AI.

Alumnus Peter Wurman inducted into National Inventors Hall of Fame

Wurman and his cofounders were recognized for their invention of the Kiva system, a revolutionary warehouse order fulfillment system that uses mobile robots and control software to bring inventory shelves to workers.

Michigan AI celebrates second annual symposium

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

New attack on autonomous vehicle sensors creates fake obstacles

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.

Taking machine-learning models in health care from concept to bedside

The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.

Year of growth, experiments for May Mobility

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

DARPA Award for more responsive AI that combines human and machine

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

Paper recognized for lasting contributions to AI decision making

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

New lecture series brings AI to the public

The new event series aims to create an educational environment for the public.

A quicker eye for robotics to help in cluttered environments

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

Rackham Fellowship for enabling autonomous agents to learn continuously

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

Precision Health Award for measuring moods

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

Two papers announced among 10 most influential in healthcare and infection control

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

Kang G. Shin recognized with Distinguished Leadership Award by IEEE Computer Society Technical & Conference Activities Board

His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.

Thomas Wenisch selected as Maurice Wilkes Award Recipient

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

Precision health in the palm of your hand

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

Jason Flinn earns Test of Time award for 1999 invention of adaptable battery use in mobile apps

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.

ADA Center holds 2020 symposium with virtual attendance, highlighting new research into computer design

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.

Michigan chips will be first to test next-generation hardware design tools

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

Pressure-sensing smartphones: Software lets mobile devices feel force

New software developed by CSE engineers and inspired, in part, by a Batman movie, could give any smartphone the capacity to sense force or pressure on its screen or body.

Passwords, privacy and protection: Can Apple meet FBI’s demand without creating a ‘backdoor’?

Prof. H.V. Jagadish sheds light on current issues regarding data privacy and technology.

Researchers Receive NSF/Intel Award to Develop Visual Recognition System for Wearable Devices

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

Virta Labs Introduces PowerGuard™

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

World’s Largest Processor Announced; Perfect for Big Data – and Other Applications

A really big chip is ready to take on really big challenges.

HiJack Enables a Smartphone Dongle for Diagnosis of Infectious Diseases

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

Shared Memory in Mobile Operating Systems Provides Ingress Point for Hackers

Researchers demo hack to seize control of municipal traffic signal systems

Can our computers continue to get smaller and more powerful?

Wakefield and Kieras win Best Paper Award at ICAD 2014

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

Making smartphones smarter: hijack adopted for use in commercial product

Listening to bipolar disorder: smartphone app detects mood swings via voice analysis

Heartbleed: behind the scenes at CSE

Karem Sakallah Continues Commitment to Qatar Computing Research Institute

Security risks found in sensors for heart devices, consumer electronics

Researchers funded to develop a leap forward in Processor Architectures

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

Students compete to create game-playing bots in weekend programming contest

Todd Austin and colleague author new edition of book on structured computer organization

Duo of CSE Alums Form and Grow Security Company in Ann Arbor

Serial entrepreneur Dug Song (CS BS 1997) and recent alum Jon Oberheide (CSE PhD 2011) founded security firm Duo Security in early 2010 and have rapidly grown their company to serve over 500 customers in 40+ countries around the world.

J. Alex Halderman to Teach Course on Electronic and Internet Voting through Coursera

The 5-week course will provide the technical background and public policy foundation that today’s citizens need to understand the electronic voting debate.

Smart bridges under development with new grant

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

Roadmap for teachers: U-M free online learning platform paves the 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.

Open-source software helps youth with disabilities develop scheduling independence

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

Researchers to use brain scans to understand gender bias in software development

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.

Shadows in the Dark Web

Secrets lurk in the dark web, the 95 percent of the internet that most of us can’t see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.

Google, U-M to build digital tools for Flint water crisis

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

Walter Lasecki and collaborators win Best Paper at W4A

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.

Michael J. Cafarella selected for Sloan Research Fellowship

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

Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems

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

Censys enables fast searching of actionable internet data

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

Michigan Researchers Win Best Paper Award at VLDB 2015

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

Third Annual Data Mining Workshop Brings Together 100+ Researchers

100+ researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.

Using negative probability for quantum solutions

Probabilities with a negative sign have been of great use in quantum physics.

Google Award to make widely used software testing technique more effective

Baris Kasikci plans to improve software fuzzers by learning how deployed software is most commonly run by users.

Solution for restoring faulty graphs earns best paper award

Prof. Greg Bodwin has devised a solution to an important open question in graph theory that offers promising new options for repairing and constructing resilient networks.

Postdoc Leqi Zhu wins PODC Dissertation Award

The thesis completely solves a longstanding open problem in the theory of distributed computing.

Tim Dunn selected for NSF Graduate Research Fellowship

Through his work, Tim hopes to dramatically accelerate genomic sequencing analysis, enabling the use of handheld genomic sequencers to produce actionable diagnostic data within minutes.

New database sheds light on Michigan’s videogame boom

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

Building a testing-free future

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

Tool to automate popular security technique earns distinguished paper

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

Prof. Baris Kasikci recognized as rising star by Intel

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

Alumnus Yi-Jun Chang Wins PODC Dissertation Award

His work is in complexity theory of distributed computing.

NIST finalists for post-quantum security standards include research results developed by Prof. Chris Peikert

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

New method ensures complex programs are bug-free without testing

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.

Get to know: Xinyu Wang

“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.”

Research team takes on food insecurity in Detroit in the face of coronavirus limitations

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

Building better coronavirus databases with automatic quality checks

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

Undergraduate research on speeding up data centers earns ACM first prize

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

Rackham Predoctoral Fellowship for design of robust, reliable and repairable software systems

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

Predoctoral Fellowship for mathematically provable hardware design

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

Programming around Moore’s Law with automatic code translation

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.

Emotion recognition has a privacy problem – here’s how to fix it

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

Generating realistic stock market data for deeper financial research

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

Three faculty earn MIDAS grants to broaden the frontiers of data science

This round of funding strongly encourages pioneering work with the potential for major expansion.

Best Student Paper Award for work on faster network classification for machine learning

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

CSE faculty bring significant showing to major systems conference

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

$2M NSF grant to explore data equity systems

Researchers plan to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.

$1M NSF grant supports new system for gathering, structuring data with ease

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

Creating more efficient data centers for AI

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

New browser strategy game has players tackle real-life bat catastrophe

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

“Mind reading” study looks inside coders’ brains

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

Automated tool optimizes complex programs better than humans

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

CAREER Award for deeper insights into interconnected data: from neurons to web searches

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

Student awarded NSF Fellowship for automating speech-based disease classification

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

Paper award for identifying speaker characteristics in text messages

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

Two solutions for GPU efficiency can boost AI performance

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

Personalized knowledge graphs for faster search and digital assistants

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

Speeding up code with clever data manipulation

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

Helping drivers use smart cars smarter

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

Gaining a deeper understanding of how personal values are expressed in text

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

Making software failures a little less catastrophic

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

Tool for structuring data creates efficiency for data scientists

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

Finding meaning in varied data

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

Study maps careers of CS PhDs using decades of data

The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.

“Stitching” together a web user from scattered, messy data

Even though we interact with different web services in different ways, there are clues in the data that can indicate trends and identify a unique profile.

Bringing smart banking to market

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.

Expert take: Engineering for the success of humanity

Three Michigan Engineering faculty help to elevate communities and systems through a people-first approach to teaching.

The post Expert take: Engineering for the success of humanity appeared first on Engineering Research News.

Gravity’s impact on bone cells—experiments heading to the International Space Station

Mechanical engineers at the University of Michigan are tackling mysteries of bone density loss in space and on Earth.

The post Gravity’s impact on bone cells—experiments heading to the International Space Station appeared first on Engineering Research News.

U-M, Schmidt Futures to partner on new AI research program

$10M will fund training for 60 postdoctoral fellows as part of international cohort.

Jesse Codling wins Best Presentation award for sensors that help protect these little piggies in their pens

Known affectionately as “The Sh*tty Project,” Codling, an ECE PhD student, monitors the vibrations in pig pens to track the health of the piglets and predict when they’re in danger.

Miniature and durable spectrometer for wearable applications

A team led by P.C. Ku and Qing Qu has developed a miniature, paper-thin spectrometer measuring 0.16mm2 that can also withstand harsh environments.

Best paper for a low-power ADC circuit for brain-machine interface applications

Euisik Yoon’s team, led by Sungjin Oh, developed a low-power neural recording front-end circuit to interface with state-of-the-art neural probes.

Discover Other themes

  • Cybersecurity

  • E-commerce / Supply Chain Automation

  • Renewables, Environment, and Sustainability

  • Health and Bio-compatibility

  • Smart Cities / Smart Infrastructure

  • Next Evolution of Socialization

  • Space Exploration, Commercialization, and Defense