Smart Cities / Smart Infrastructure

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.

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

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

The post Walking and slithering aren’t as different as you think appeared first on Engineering Research News.

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

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

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

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

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

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

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

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.

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.

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.

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

The post “Robot assistants” project aims to reinvent construction industry appeared first on Engineering Research News.

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

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

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

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

A Q&A with Chad Jenkins.

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.

Cassie is the first offering from new startup Agility Robotics, and is loosely modeled on the cassowary, a flightless bird similar to an ostrich.

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.”

Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.

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

The post University of Michigan partners on multi-institution planning effort for state’s water future appeared first on Engineering Research News.

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

The post Wastewater to drinking water: EPA grants $1.2M to U-M for virus removal study appeared first on Engineering Research News.

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

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

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.

The post $20M NSF AI-EDGE Institute aims to transform 5G and beyond networks appeared first on Engineering Research News.

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

The post $7.5M MURI to make dynamic AI smarter and safer appeared first on Engineering Research News.

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

The post First programmable memristor computer aims to bring AI processing down from the cloud appeared first on Engineering Research News.

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

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

The post ‘Air traffic control’ for driverless cars could speed up deployment appeared first on Engineering Research News.

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.

The post Swim with the robots, U-M on the Great Lakes appeared first on Engineering Research News.

Satellites give new insights on the Great Pacific Garbage Patch, plus sources and flows of ocean microplastic.

The post Tracking ocean microplastics from space appeared first on Engineering Research News.

Since 2011, Dr. Bas Buchner has been the president of MARIN (Maritime Research Institute Netherlands), the largest independent maritime research institute in the world.

The post 2017 Peachman lecture: Future ship, offshore and nautical research appeared first on Engineering Research News.

The University of Michigan Board of Regents today approved a $2.2 million renovation project to U-M’s Marine Hydrodynamics Lab.

The post U-M’s one-of-a-kind hydrodynamics lab to get fresh look, new name appeared first on Engineering Research News.

Concrete and construction aggregates could be carbon negative and dollar positive while sustainable aviation fuel and methanol could also turn a profit.

The post Carbon capture, utilization and storage roadmap reveals technologies that are ready to go appeared first on Engineering Research News.

Why we need greater collaboration among transportation companies, cities, nonprofits and academia.

The post ‘Transportation is a form of freedom’: How to make it more equitable appeared first on Engineering Research News.

Two experts say the new law could correct historical infrastructure disparities.

The post Bipartisan infrastructure bill signed into law: Engineers weigh in appeared first on Engineering Research News.

Systems featuring a ‘membrane-aerated biofilm reactor’ can also remove more nitrogen from treatment plant discharges.

The post Wastewater treatment at one-third the size and cost appeared first on Engineering Research News.

Technology embedded in existing infrastructure will provide data to connected and automated vehicles, bolstering safety.

The post $9.95M for “smart intersections” across Ann Arbor appeared first on Engineering Research News.

Transformative pilot project in Detroit could help cities across U.S. deal with overdue pipeline upgrades.

The post Sensor technology aims to help US cities extend the life of aging pipelines appeared first on Engineering Research News.

Glen Daigger and his research team are developing a biological system that can capture the phosphorus in the water without use of chemicals.

The post Removing and reusing phosphorus from agricultural runoff appeared first on Engineering Research News.

Powered by a broadband infrared laser, the device can zero in on the ‘spectral fingerprint region’.

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.

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

The post “Egg carton” quantum dot array could lead to ultralow power devices appeared first on Engineering Research News.

Part of the team that brought us the world’s smallest computer in 2015 brings the future of computing technology into the present.

The project could pave the way for compact quantum computing and communications as well as efficient UV lamps for sterilization and air purification.

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

The post $6.25 million to develop new semiconductors for artificial photosynthesis appeared first on Engineering Research News.

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.

PhD students Sijia Geng, Bahareh Hadidian, and Nasimeh Heydaribeni will participate in the intensive workshop that brings together outstanding women and gender minorities interested in pursuing academic careers in EECS.

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

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

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

New software finally makes ‘memory disaggregation’ practical.

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

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

The latest from IBM and now the University of Michigan is redefining what counts as a computer at the microscale.

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

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

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

A new NSF Tech Hub will put tools to rapidly advance our understanding of the brain into the hands of neuroscientists.

The post $7.75M for mapping circuits in the brain appeared first on Engineering Research News.

Using retired electric vehicle batteries, the project plans to enable widespread and equitable access to sustainable power and energy through sustainable energy storage.

Electrical Engineering undergrad Madeline Evans is a key researcher on a project that uses NASA’s Cyclone Global Navigation Satellite System to monitor microplastic pollution that harms marine ecosystems.

Roberts works to improve remote sensing of soil moisture, which is important for environmental conservation, natural resource management, and agriculture.

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.

Prof. Yogesh Gianchandani and Dr. Yutao Qin received an “Outstanding Paper Award” for their fully electronic micro gas chromatography system.

The College of Engineering honors ECE PhD candidate Tianlin Wang for his excellent research in remote sensing as well as his leadership and service to the community.

A professor of electrical engineering and computer science is awarded one of engineering’s top honors.

Predicting future disasters is an important goal of those participating in the IEEE Geoscience and Remote Sensing Symposium

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

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.

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

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

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

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.

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

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

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

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.

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

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

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

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

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.

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

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

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.

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

Putting our arm movements into code.

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

How to build fast and cheap robots

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

New walking robot based on birds

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.

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

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

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.

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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.

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.

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.

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

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

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.

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.

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

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

With $7.5M MURI grant, Professor Anthony Grbic is developing metamaterials for a new generation of integrated electromagnetic and photonic systems.

Yektakhah’s system improves on the speed, portability, and accuracy of many commercial models

England has dedicated more than two decades of his distinguished career helping students reach for the stars to understand more about Earth and other planets.

For the 50th anniversary of the Apollo 11 moon landing, U-M ECE takes a look back – and a look forward – to how our professors, students, and alums have made their mark on the field.

To dial in on exact wind speeds, researchers needed to reverse engineering the signals from satellites.

An award-winning modeling method will help us better understand our natural environment

The satellite mission to collect global data of surface soil moisture can help weather forecasting around the world.

Prof. Tsang is a world-renowned expert in the field of theoretical and computational electromagnetics, and in particular microwave remote sensing of the earth.

UM-SEDS co-President Arun Nagpal develops ENG 100 section to expose freshman to space science and atmospheric sensing.

SPARC awarded $1M to a U-M project developing better nerve mapping.

Prof. Todd Coleman’s group is tackling the challenging problem of getting high-fidelity monitoring to work affordably at home.

Some believed early Michigan brain researchers were engaging in “science fiction” – until development of an advanced tool for forging breakthroughs proved them wrong.

With a radio specifically designed to communicate through tissue, researchers from the Electrical and Computer Engineering are adding another level to a computer platform small enough to fit inside a medical grade syringe.

PhD candidate Mohammad Vahid Jamali won a Best Paper award at IEEE ICC for his work on Product AutoEncoders, which could help shape future generations of wireless networks, IoT, and autonomous systems.

Ryan is an electrical engineering undergrad interested in military systems and devices.

Prof. David Wentzloff’s paper examining the trends and techniques to achieve ultra-low power receivers was honored by the IEEE Custom Integrated Circuits Conference

With the help of two NSF awards totaling $1.7m, Prof. Hessam Mahdavifar is tackling new problems to improve the reliability of communication systems for 5G and beyond.

The Michigan Micro Mote gets a new gallium arsenide solar cell for added power and adaptability.

Researchers built the first millimeter-scale transmitter and antenna that can talk Bluetooth Low Energy with ease.

Keeping time in the Internet of Things with frequency scaling

The law of small numbers could impact the next generation of tools that deal with data.

Kim’s research is expected to impact the future design and wireless operation of the next generation of Internet of Things (IoT) devices

Professors Blaauw and Sylvester showcase capabilities of tiny computing

Movellus Circuits won $25,000 in the University Research Highlight and People’s Choice categories

Adkins plans to continue his graduate studies in electrical engineering and computer science at the University of California Berkeley.

Avish conducts research on ultra-low power and battery-less integrated circuits.

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

Cyber-physical systems are smart, networked systems with embedded sensors, processors, and actuators that are designed to interact with the physical world.

IoT applications are the next wave of computing and the next driving force of the semiconductor industry. The startup PsiKick [now Everactive] is helping shape this future.

Ambiq Micro, Crossbar, Inc., and PsiKick, are leading the way in ultra-low power chip design, pioneering computer memory, and ultra-low power wireless sensor platforms.

Shahin and Sassan discussed everything from the acquisition trends of small vs. large companies to the importance of building a team with a range of expertise.

A brief history of what led to the technical feat known as the Michigan Micro Mote, a tiny speck of a computer that does it all.

At the age of 24, Yang sold his company ChinaRen for $35 million.

Dr. Hanson is the co-founder of a startup semiconductor company that plans to lead the low-power revolution in electronics by powering the Internet of Things.

Instead of a battery, the chip Nathan is engineering uses two solar cells that look like they belong on a calculator.

The chips’ extreme energy efficiency enables them to be powered without a battery from harvested energy sources like vibration, thermal gradients, and more.

Movellus Circuits’ product is a patent-pending clock generator technology that is smaller, cheaper, and faster than existing solutions.

Avish is currently conducting research on ultra-low power radio technology and designing a low-power RF power amplifier.

Wentzloff aims to remove the necessity of a power outlet or even a battery to power miniature sensors.

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.

U-M faculty have developed what is believed to be the first complete millimeter-scale computing system, with applications in radio communication and wireless sensing.

Until now, ubiquitous computing has been hampered by the size of necessary batteries—but Ambiq Micro is changing that, with their energy-efficient micro-controllers.

The system could enable new biomedical implants as well as home-, building- and bridge-monitoring devices.

Cheng-Hsun Lu,
Shih-Chi Liao, and Jiale Zhang have been awarded the Rackham International Students Fellowship/Chia-Lun Lo Fellowship.

Students say Ulaby, a member of the National Academy of Engineering and recipient of the Edison Medal, is one of the best professors – and people – they’ve ever known.

The WAND wireless sensor developed in a collaboration between Total, an oil & gas company, and the University of Michigan is revolutionizing well monitoring

PhD student Ester Bentley designs smaller, better 3D mechanical resonators for use in high-performance gyroscopes to help unmanned systems navigate when GPS signal is jammed or lost.

Wu is working on advanced metasurfaces, which could help next-generation wireless communication, commercial and military radar systems, imaging, and antenna systems.

Electrify hosted its first Detroit Tech Camp at the Michigan Engineering Zone this summer to give Detroit-area students greater access to engage with science, technology, engineering, and mathematics.

Huang won the Best Student Paper Award at the IEEE International Conference on Computational Electromagnetics for her work developing better electromagnetic models that calculate microwave interactions with tree and vegetation cover.

Applications include managing large networked systems, such as sensor networks, power grids, or computer networks.

An award-winning method will help us better understand how much snow is on the ground.

A solar cell combined with a camera sensor collects photons to provide electricity.

Keenan Rebara hopes to add to the fun of spinning the Cube using his a bit of physics and sensors.

The paper outlines a better way to quantify forest structure, which has been successful in two tree species.

ECE alum Rick Bergman, CEO of Synaptics, is working to make tomorrow’s technology user friendly, safe, and reliable. The company hopes to lead what they call “the human interface revolution.”

The AAAS seeks to advance science, engineering, and innovation throughout the world for the benefit of all people.

Mohammad has developed a new way to remotely measure the thickness of ice and snow with a technology he calls wideband autocorrelation radiometry (WiBAR).

This platform has enabled a variety of sensors that can fit inside the human body, made possible by several breakthroughs in ultra-low power computing.

Hero is honored for his extraordinary accomplishments that have brought distinction to himself, his students, and to the entire University.

Xiang’s research focuses on developing new methods to synthesize different control and sensing strategies in a discrete-event system.

Blaauw’s innovations in low-power computing led to development of the Michigan Micro Mote, the world’s smallest computer.

The Michigan Daily profiles Professors David Blaauw and Dennis Sylvester, who are this year’s recipients of the 2019 Distinguished University Innovator Award.

Millimeter-sized computers log the temperature and pressure from deep within oil wells.

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

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.

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.

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.

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

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

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.

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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.

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

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 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 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.

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

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

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.

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

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.

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

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.

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.

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.

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

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

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

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

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

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

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

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

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

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 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.

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

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.

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

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

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

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

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

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

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

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.

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

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

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.

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

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

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

His work is in complexity theory of distributed computing.

Prof. Mao and her students have played an important role in understanding the efficiency, security, and performance of a number of mobile systems.

A group of researchers at U-M is working on the full big data stack for training machine learning models on millions of devices worldwide.

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.

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

The teams designed systems for faster and more efficient distributed and large-scale computing.

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.

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

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

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

Sensing technology could keep seniors safe.

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

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

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.”

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

New Vroom software could double its speed.

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

A total of five papers authored by CSE researchers were presented.

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

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.

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

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.

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

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

The focal point of the project will be a new computing resource, called ConFlux, which is designed to enable supercomputer simulations to interface with large datasets while running.

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.

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

Trippel’s research interests lie in embedded systems and IoT security and privacy for the purpose of building safe and reliable autonomous systems.

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.

A collaboration between engineers and experts from the U-M Center for Social Solutions to address inequity in flood recovery.

The post Video: Creating Equity in Midwestern Flood Response and Recovery appeared first on Engineering Research News.

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

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.

Verma credits his distinguished 30-year executive career with leading technology companies, including Savi Technology, Lockheed Martin and 8×8 Inc., to a combination of education, leadership, and luck.

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

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.

The SCISCCO system could better monitor brain and organ metabolism, helping to diagnose concussions, monitor cerebral metabolism in traumatic brain injury patients, and gauge the response of organs to treatments in an operating or emergency room scenario.

U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.

The Michigan AI Lab is focused on building a community of diverse viewpoints in an effort to reduce the bias we see in the exploding world of artificial intelligence.

U-M CSE PhD candidate Sarah Jabbour discusses how collaboration is centered in her experience as a graduate student.

Dr. Mehdi Saligane, a leader in the open-source chip design community, was among the first researchers to fabricate a successful chip as part of Google’s multi-project wafer program.

Elaheh Ahmadi, David Blaauw, Michael Flynn, Hun-Seok Kim, Hessam Mahdavifar, and Zhengya Zhang bring their expertise and creativity to this nationwide undertaking in the area of semiconductors and information & communication technologies.

Led by Prof. Becky Peterson, the research focuses on a category of materials important for low power logic operations, high pixel density screens, touch screens, and haptic displays.

Next-gen computing material gets down to the right size for modern manufacturing.

Navid’s research is focused on artificial photosynthesis and optoelectronics using III-Nitride based semiconductor materials.

Xiao has been working on several projects in Prof. Zetian’s Mi’s group, including micro LED technology and renewable energy.

The tool is expected to advance the study of exciton dynamics, which could help identify new research directions for clean energy and information technology.

Prof. Zetian Mi’s team proved the viability of a reconfigurable, ScAlN/AlGaN/GaN ferroelectric HEMT transistor that is critical for next-generation communication and computing systems

Aditya is creating high-resolution, accessible, scalable, and portable imaging radars that are 200x cheaper and 100x smaller than what is currently available.

Yoo is making memory devices more flexible and tunable, making them irresistible for modern AI applications.