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Chowdhury is an expert in network-informed data systems design for big data and AI applications.

Co-founded by alumnus Kunle Olukotun, the company has announced product and system-as-a-service solutions for AI-intensive applications.

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

Gurevich is recognized for his distinguished contributions to logic, particularly finite model theory, and the development of abstract state machines.

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

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

From his days as an online poker playing undergrad to his current role as a technology developer, Josh has discovered a passion – and built a platform – for online learning.

The award recognizes students who make significant contributions toward increasing diversity, equity, and inclusion in the division.

The competition recognizes the research done by PhD students at CSE and the final competition is the culmination of a process that narrows a field of entrants to a handful of finalists.

This is the first time that a team from EECS 494 has signed a funded publishing deal.

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

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

The award, named for a U-M alum, is a preeminent honor in the field of operating systems.

The team earned the Best Use of Science award at the NASA Space Apps COVID-19 Challenge for their machine learning model that can predict hotspots for COVID outbreaks

This honor recognizes outstanding researchers with eight or more papers at the International Symposium on Microarchitecture.

The awards were distributed to 18 different primary investigators.

Workshop organizers believe a key strategy to increasing the number of women in computing research is to introduce them to the research process early on.

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

Expert advice for voting in an unprecedented election.

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

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

The new fellowship program was designed to study the effects of connected products and services.

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

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

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

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

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

His work is in complexity theory of distributed computing.

The games were conceived and developed by teams of students working remotely during the summer of Covid.

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

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

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

Frances Allen spent her career advancing the field of computing and inspired generations of technologists.

Discover Computer Science provides a basic background in all the skills a student needs to pursue further education in computing.

The gift will be extremely valuable as CSE continues to progress as a computer science powerhouse.

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

CS undergrad Ryan O’Connor led front-end development on a major update to Long Island Rail Road’s TrainTime app, helping the country’s biggest commuter line offer socially distanced service.

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

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

Professor Michael Wellman to be named chair of the Computer Science and Engineering division subject to Regental approval.

Meet the new arrivals.

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

Improving the lives of others has remained a consistent, fundamental value across the entirety of Dr. Wardell’s career.

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

The CSE and ECE divisions have prepared transparency reports detailing undergraduate, graduate and faculty recruiting statistics, context, challenges, activities, commitments, and areas for improvement.

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.

Kuck’s impacts in the area of parallel computing are an inspiration to all of us, and this award will carry real significance for its recipients.

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

In observance of the holiday that marks the end of chattel slavery, faculty, students, and alumni performed music, shared personal stories, and presented a proposal to the EECS chairs for initiatives to enhance diversity and equity and realize systemic equality in the department.

A Q&A with Chad Jenkins.

Public policy and engineering team up to improve food access.

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

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

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

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

‘When caught in a situation such as this, creatively and positively helping others is always an excellent endeavor.’

Signers raise the alarm on interpersonal and institutional racism as well as racial bias occurring from improper development and use of computing technology.

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

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

This message was sent to the entire EECS community on Tuesday, June 2 in support of the Black Lives Matter movement.

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

EECS 373 course instructors quickly pulled together an alternative final project that had students building robots at home.

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

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

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

Mihalcea specializes in identifying the underlying emotions, beliefs, and values expressed in written text, and using that to draw inferences about the meaning of the text and certain characteristics of the writer.

“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.”

Weimer is well known as a passionate educator, and for going the extra mile to engage with and advocate for students.

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

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

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

“Greenland appealed to me, and my project specifically, to help me understand the process of truly living off the land.”

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

Class seeks software solutions to COVID-19 problems.

The division congratulates the four lecturers, all of whom have demonstrated commitment to excellence in education and innovation in the classroom.

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

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

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

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 nine students represent a broad range of research areas in the department.

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

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

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

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

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

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

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

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

Tiana loves CS and considers herself a supporter of CSE. She shares her experiences, struggles, and thoughts as a first-generation student.

From the initiative of one staff member to the follow-through from another, CSE brings wellness info to Tishman Hall.

U-M continues its tradition of competing hard in the world of programming, with its team competing at the ACM-ICPC National Finals.

Vehicles that perceive obstacles that aren’t really there could cause traffic accidents.

This award is presented to an outstanding graduate student in each degree program.

Prof. Austin is a creative, outside-the-box thinker who has produced a body of work that has had extraordinary impact in the area of computer architecture.

Professor Peter Chen assumes role of interim chair of the Computer Science and Engineering division.

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

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

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

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

She was recognized for her work harnessing patient data to improve healthcare outcomes.

This award is the highest honor awarded to a faculty member by the College.

Kamil has shown a consistent and unrelenting commitment to bettering education in CSE.

The ARC works to solve a broad set of issues pertaining to the modeling and simulation of ground vehicle systems.

For “exemplifying the leadership and vision of Dr. King,” four CSE students and faculty were honored as part of U-M’s annual MLK symposium.

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.

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.

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

Five students take compiler optimizations to a new level with speculative loop optimization