Graduate students

Marina’s research in security closely investigates the boundary between software and hardware.

Jule is active in teaching and outreach activities to help broaden participation in the field of computer science and engineering.

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

The fellowship will advance his research on exploiting hardware reconfigurability in an effort to bridge the gap between programmability and efficiency that affects modern computing systems.

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.

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

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

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

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

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

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.

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.

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

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

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

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.

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

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.

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

The team of twelve students is one of ten worldwide working to give Amazon’s Alexa more human-like conversational skills.

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

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

The workshop brings together outstanding women interested in pursuing academic careers in electrical engineering and computer science.

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

Top Picks is an annual special edition of IEEE Micro magazine that acknowledges the 10-12 most significant research papers.

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

The initiative has tackled courses that make up the core curriculum for first- and second-year CS and CE majors.

Burdick has done extensive work as an instructor in EECS courses and promoter of diversity in the department.

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

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

Addisie has been recognized for his work in domain-specific architectures for data-intensive applications.

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

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

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

The competition is the culmination of a process that narrows a field of entrants from each of the department research areas to a handful of finalists.

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

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

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

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

MDST brings together students from many fields to get their hands dirty with real data science problems and tools.

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

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

Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.

Throughout the semester, students will work with Prof. Rada Mihalcea and PhD student Laura Wendlandt to see how computers connect to real-world applications in many disciplines.

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

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

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

We want all people, everywhere, to be at the table creating the technologies that will change our lives.

For the past year Stearns has served as President of CSEG, whose membership comprises the entire body of over three hundred CSE graduate students.

Aldeneh’s research focuses on identifying the features of speech that make human interaction feel natural.

Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.

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

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

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

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.”

The event featured eight TED-style computer science talks by female faculty and an opera performance.

The competition is the culmination of a process that narrows a field of entrants to a handful of finalists, each of whom gives a summary presentation on an area of their research.

New Vroom software could double its speed.

Lee Rutledge, CSE graduate student, is working at U-M’s autonomous robotics lab this fall to help AI agents map and navigate their surroundings on the fly.

‘Open port’ backdoors are common.

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

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

Lee investigates how we can coordinate collaboration among users and crowd workers, especially for complex tasks that require creativity.

Student surveys of his course repeatedly praise his enthusiasm and passion, which make class a fun and interesting experience.

Andrew’s research creates cluster-scale systems that allow developers to quickly understand and debug programs.

Andrew’s research creates cluster-scale systems that allow developers to quickly understand and debug programs.

This performance is an outcome coming from his interdisciplinary research work, Live Writing, which transforms asynchronous written communication into a real-time experience in the context of programming, writing and performing arts.

The event took place August 28th to September 2nd on North Campus, and included programming labs, CS lab tours, field trips to local tech companies, and social events to get the participants acclimated to U-M and computer science.

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

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

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

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

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

The award is to support his research in reinforcement learning.

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

Vidal is currently the GSI for EECS 381: Object Oriented and Advanced Programming.

Ryan works with Prof. Edwin Olson in the APRIL Lab, where his research is in the area of multi-agent search algorithms for both known and unexplored environments.

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

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

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

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

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

The School helps to prepare undergraduate students in the Middle East and North Africa (MENA) region for successful careers in computer science research.

The goal of Steven’s research is to improve vision-based perception systems on cars and to create an extra layer of safety.

Members will hold get-togethers, study sessions, talks, and workshops. They will also be piloting a new mentoring program.

We thank these individuals for their commitment to excellence in teaching our students!

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

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

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

Congratulations to these winning companies. Go Blue!

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

With D4AR models, you can monitor progress, productivity, safety, quality, constructability and even site logistics remotely.

“I am confident we can do better than the ubiquitous keyboard and mouse paradigm, and I intend to find out how,” said O’Keefe.

Dongjin’s research is a blend of computer science with computer and electrical engineering, and can have a huge impact on upcoming integrated circuits.