Electrical Engineering and Computer Science

CSE Research News

Data Equality on the Internet Might Bring Unintended Consequences

Prof. Harsha Madhyastha was interviewed on Michigan Radio about the possibilities for unintended consequences of net neutrality, and the difficulty of finding an acceptable alternative. [Full Story]

Related Topics:  Lab-Software Systems  Madhyastha, Harsha  Networks and Networking  

Can Slower Financial Traders Find a Haven in a World of High-Speed Algorithms?

In this article at The Conversation, Prof. Michael Wellman reviews the latency arms race at the center of high-speed algorithmic trading, in which the first trader to react is able to make money off of slower rivals. He describes the possibility for a frequent call market, in which speed no longer categorically prevails, and how it could be implemented. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Wenisch, Thomas  

Tracking and Mitigating Tail Latency in Data Centers

Computer science researchers have developed a modular load tester platform for data centers which is designed to help measure and mitigate tail latency. Called Treadmill, it is described in their paper, "Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference." [Full Story]

Related Topics:  Alumni  Artificial Intelligence  Big Data  Computer Architecture  Graduate Students  Lab-Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Mars, Jason  Tang, Lingjia  

Two Michigan Papers Win Top Awards at IEEE Security and Privacy Symposium

Two papers authored by EECS researchers were selected for top honors at the 37th IEEE Symposium on Security and Privacy. One of the papers, describing and demonstrating a malicious hardware backdoor, received the Distinguished Paper Award. The second, which demonstrated security failings in a commercial smart home platform, received the Distinguished Practical Paper Award. [Full Story]

Related Topics:  Austin, Todd  Computer Architecture  Graduate Students  Hicks, Matt  Internet of Things  Lab-Computer Engineering (CE Lab)  Lab-Software Systems  Prakash, Atul  Security (Computing)  Sylvester, Dennis  

Proxy Optimizes Webpage Loading for Better User Experience

Researchers led by Prof. Harsha V. Madhyastha have developed a new web proxy called Klotski, which seeks to improve users' perceptions of how quickly a webpage loads on a mobile device by maximizing the amount of important content on the page that is fetched and displayed within the users attention span. [Full Story]

Related Topics:  Lab-Software Systems  Madhyastha, Harsha  Networks and Networking  

Patented Camera Calibration Tool Automates Calibration Target Acquisition

Prof. Edwin Olson and two of his former students, Johannes Strom and Andrew Richardson, have recently been awarded a United States Patent for their work in the development of AprilCal, an interactive camera calibration tool that automates the challenging task of calibration image acquisition. [Full Story]

Related Topics:  Computer Vision  Lab-Artificial Intelligence  Olson, Edwin  

Collecting Data to Better Identify Bipolar Disorder

Prof. Emily Mower Provost is collaborating with researchers at the University of Michigan Depression Center to develop new technologies that provide individuals and their caregivers with insight into how bipolar disorder changes over time. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Mower Provost, Emily  Women in Computing  

Rada Mihalcea Leads Research Team to Develop Analytics for Learners as People

Prof. Rada Mihalcea has received funding from the Michigan Institute for Data Science (MIDAS) to uncover connections between personal attributes and success or well-being. The multidisciplinary research team includes Profs. Satinder Singh Baveja and Emily Mower Provost from CSE. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Mihalcea, Rada  Women in Computing  

CSE Faculty Amongst Researchers in Three of Four Funded MIDAS Projects

The Michigan Institute for Data Science (MIDAS) has funded four projects for $1.25M each in the first round of its Challenge Initiatives program, which is designed to fund extraordinary projects with major social impact. Prof. Rada Mihalcea is leading one of the projects, which seeks to uncover connections between personal attributes and success or well-being; overall, a number of CSE faculty are amongst the investigators in three of the four projects. [Full Story]

Related Topics:  Big Data  Engineering for the Greater Good  Lab-Artificial Intelligence  Mihalcea, Rada  

Two Papers by Michigan Researchers Chosen as IEEE Micro Top Picks

Two papers authored by EECS researchers have been selected for IEEE Micro's Top Picks from the 2015 Computer Architecture Conferences. The two papers from Michigan introduced the Sirius personal digital assistant and the MBus bus for modular microcomputing systems. [Full Story]

Related Topics:  Blaauw, David  Computer Architecture  Dreslinski, Ron  Dutta, Prabal  Graduate Students  Lab-Computer Engineering (CE Lab)  Mars, Jason  Mudge, Trevor  Tang, Lingjia  

U-M researchers work to determine when people are lying

This article reports on work being done by Prof. Rada Mihalcea and Prof. Mihai Burzo (UM Flint), who have built unique lie-detecting software based on real-world data. Their prototype considers both a speaker's words and gestures, and unlike a polygraph, it doesn't need to touch the subject in order to work. [Full Story]

Related Topics:  Computational Linguistics  Lab-Artificial Intelligence  Mihalcea, Rada  Women in Computing  

The AI Machines Undergoing Behavioral Psychology Tests

As reported in MIT Technology Review, graduate student researchers Junhyuk Oh and Valliappa Chockalingam, along with Profs. Satinder Singh Baveja and Honglak Lee have created mazes in Minecraft to perform reinforcement learning experiments on artificial intelligence entities. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Graduate Students  Lab-Artificial Intelligence  Lee, Honglak  Machine Learning  

David Chesney Awarded Funding to Research Treatment for Traumatic Brain Injury

A team of researchers, including Dr. David Chesney and co-PI Dr. Rodney C. Daniels (Pediatric Critical Care) received funding for their research proposal at the Massey Foundation Traumatic Brain injury (TBI) Grand Challenge Pitch Day, which took place April 29th. Their research proposal was one of five U-M research proposals that were selected to receive funding. [Full Story]

Related Topics:  Chesney, David  Technology and Wellness  

This "Demonically Clever" Backdoor Hides in a Tiny Slice of a Computer Chip

This article in Wired describes work by Michigan researchers that demonstrates how a hacker could hide a malicious backdoor in silicon and trigger it to gain access to a computing system. Google engineer Yonatan Zunger is quoted as saying "This is the most demonically clever computer security attack Ive seen in years." [Full Story]

Related Topics:  Austin, Todd  Blaauw, David  Computer Architecture  Graduate Students  Lab-Computer Engineering (CE Lab)  Security (Computing)  

Undetectable proof-of-concept chip poisoning uses analog circuits to escalate privilege

In this article, Cory Doctorow describes work by Michigan researchers that demonstrates a "novel, frightening attack on the integrity of microprocessors." The paper describes the attack, which is nearly undetectable, and how it can lead to full control of a computing system. [Full Story]

Related Topics:  Austin, Todd  Blaauw, David  Computer Architecture  Graduate Students  Lab-Computer Engineering (CE Lab)  Security (Computing)  

Michigan and Verisign Researchers Demonstrate New Man-in-the-Middle WPAD Query Attack

Security researchers including Prof. Z. Morley Mao and CSE graduate student Qi Alfred Chen have demonstrated that new security ramifications exist when laptops and smartphones configured for enterprise systems and using generic top-level domains are used outside the enterprise in the realm of the wider web. [Full Story]

Related Topics:  Graduate Students  Lab-Software Systems  Mao, Zhuoqing Morley  Networks and Networking  Security (Computing)  

Igor Markov and Collaborators Issue Second Edition of EDA Handbook

Professor Igor Markov and his co-editors Luciano Lavagno, Grant E. Martin, and Louis K. Scheffer have issued the second edition of the two-volume "Electronic Design Automation for Integrated Circuits Handbook," which has been published by CRC Press. [Full Story]

Related Topics:  Integrated Circuits and VLSI  Lab-Computer Engineering (CE Lab)  Markov, Igor  

Quora Knowledge Prize Winner Igor Markov Presents Winning Answer To Packed House at MLConf

Prof. Igor Markov was a featured speaker at the ML Conference, which took place May 20 in Seattle. His talk, entitled "Can AI Become a Dystopian Threat to Humanity? A Hardware Perspective," expanded on his answer to a Quora question on AI threats that won a Knowledge prize and another answer regarding how to identify chatbots. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Computer Engineering (CE Lab)  Machine Learning  Markov, Igor  

Security Risks in the Age of Smart Homes

CSE graduate student Earlence Fernandes writes about the security risks of connected homes in this article at The Conversation. Earlence is part of a research team that included Prof. Atul Prakash and Jaeyeon Jung of Microsoft, which exposed security flaws in Samsung's popular SmartThings product offerings. [Full Story]

Related Topics:  Graduate Students  Lab-Software Systems  Prakash, Atul  Security (Computing)  

Rada Mihalcea Coauthors New Book on Text Mining

Professor Rada Mihalcea and her collaborator Gabe Ignatow, Associate Professor of Sociology at the University of North Texas, have authored a new book entitled "Text Mining: A Guidebook for the Social Sciences," which has been published by Sage Publishing. [Full Story]

Related Topics:  Big Data  Computational Linguistics  Lab-Artificial Intelligence  Mihalcea, Rada  

Pressure-Sensing Smartphones: Software Lets Mobile Devices Feel Force

Kang G. Shin, the Kevin and Nancy O'Connor Professor of Computer Science, and CSE graduate student Yu-Chih Tung have developed ForcePhone, software that allows smartphones to sense force or pressure on its screen or body. They envision many uses for their technology, which could offer the masses a coveted feature of the latest generation of smartphones. [Full Story]

Related Topics:  Lab-Software Systems  Shin, Kang G.  

Walter Lasecki and Collaborators Win Best Paper at W4A

A team of four researchers including Prof. Walter Lasecki has won a Best Paper Award at the Web for All (W4A) Conference for "The Effects of Automatic Speech Recognition Quality on Human Transcription Latency," which explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency. [Full Story]

Related Topics:  Accessibility  Big Data  Interactive Systems  Lab-Artificial Intelligence  Lab-Interactive Systems  Lab-Software Systems  Lasecki, Walter  

GridWatch Named Finalist in Vodafone's Eighth Annual Wireless Innovation Competition

GridWatch, a system for monitoring the state of the power grid using smartphones, has been selected as a finalist in the Vodafone Americas Foundation's Wireless Innovation Project competition. GridWatch is a collaboration between researchers at UM and UC Berkeley; the Michigan researchers include Prof. Prabal Dutta and graduate students Noah Klugman, Pat Pannuto, and William Huang. [Full Story]

Related Topics:  Dutta, Prabal  Energy  Graduate Students  Internet of Things  Lab-Computer Engineering (CE Lab)  Sensors  

Dropping USB Drives Is the Easiest Trick Hackers Can Use - And You're Probably a Sucker

Researchers including CSE graduate student Zakir Durumeric have discovered a highly effective security hack to gain access to others' computing systems - leaving USB flash drives with malicious payloads laying on the ground. In their study, they found there is a nearly 50% chance that someone will pick up a given drive, plug it into their computer, and start clicking. This presents the opportunity for malware to be activated. [Full Story]

Related Topics:  Graduate Students  Lab-Software Systems  Security (Computing)  

Jacob Abernethy: Machine Learning and the Wisdom of the Crowd

The National Science Foundation reports on the work of Prof. Jacob Abernethy, who is investigating the relationship between machine learning algorithms and market economy dynamics to develop socially beneficial forecasts. His work in this area is supported by a CAREER Award from NSF. [Full Story]

Related Topics:  Abernethy, Jake  Economic Systems  Lab-Artificial Intelligence  Machine Learning  

University Collaborates with Toyota on Autonomous Vehicle Hub

Toyota and Michigan have announced a new research collaboration that will involve a new Toyota facility, Mcity, and two faculty with appointments in CSE: Profs. Edwin Olson and Ryan Eustice. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

With Hospital Ransomware Infections, the Patients Are at Risk

The article in MIT Technology Review quotes Prof. Kevin Fu on the recent string of ransomware attacks against hospitals. Prof. Fu's research is in the area of security for medical equipment, from implanted devices through bedside monitoring equipment, medical diagnostic equipment, and medical IT systems. [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  Security (Computing)  

Malware Attacks On Hospitals Put Patients At Risk

The article at NPR describes recent cases in which hospitals became the victims of ransomware attacks. Prof. Kevin Fu, an expert on the security vulnerabilities of medical equipment, is quoted. [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  Security (Computing)  

U-M Researchers Launch Fight Against C. difficile with $9.2M Grant from NIH

CSE Prof. Jenna Wiens is a part of the U-M research team that has launched a $9.2 million effort to prevent and treat C. difficile infections. The team was awarded a grant from the National Institutes of Health, which is part of the U.S. governments $1.2 billion effort for a multi-agency attack on antibiotic-resistant bacteria. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Machine Learning Proves Useful for Analyzing NBA Ball Screen Defense

A research team including Avery McIntyre (December 2015 alumnus of the undergraduate CS program at Michigan) and Prof. Jenna Wiens has used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens. They shared their findings at the 10th MIT Sloan Sports Analytics Conference in Boston. [Full Story]

Related Topics:  Alumni  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Do kids learn more when they trade in composition books for iPads?

Prof. Elliot Soloway is quotes in this Washington Post article that examines the role of technology, specifically mobile devices, in learning and education. [Full Story]

Related Topics:  Lab-Interactive Systems  Soloway, Elliot  Technology for Education  

Honglak Lee Selected for Sloan Research Fellowship

Assistant Professor Honglak Lee has been selected for a 2016 Sloan Research Fellowship by the Alfred P. Sloan Foundation for his work in deep learning and representation learning. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Lee, Honglak  

Michael J. Cafarella Selected for Sloan Research Fellowship

Assistant Professor Michael J. Cafarella has been selected for a 2016 Sloan Research Fellowship by the Alfred P. Sloan Foundation for his work in mining and processing large and distributed datasets. [Full Story]

Related Topics:  Cafarella, Michael  Lab-Software Systems  

Mosharaf Chowdhury Receives Google Faculty Research Award to Develop Improved Analytics for Geo-Distributed Datasets

Prof. Mosharaf Chowdhury has been awarded a 2016 Google Faculty Research Award for his work in network-aware analytics of geo-distributed datasets, with a goal of improved application-level performance. [Full Story]

Related Topics:  Big Data  Chowdhury, Mosharaf  Data Centers  Lab-Software Systems  Networks and Networking  

Jenna Wiens Receives NSF CAREER Award to Increase the Utility of Machine Learning in Clinical Care

Assistant Professor Jenna Wiens has been awarded an NSF CAREER grant for her research project, "CAREER: Adaptable, Intelligible, and Actionable Models: Increasing the Utility of Machine Learning in Clinical Care." Under this project, she will develop data-driven predictive models to transform large and diverse datasets into actionable knowledge for improved patient care. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Machine Learning  Wiens, Jenna  

Barzan Mozafari Receives NSF CAREER Award to Improve Predictability of Database Systems

Assistant Professor Barzan Mozafari has been awarded an NSF CAREER grant for his research project, "CAREER: Designing a Predictable Database - An Overlooked Virtue." Under this project, Prof. Mozafari aims to restore the missing virtue of predictability in the design of database systems. [Full Story]

Related Topics:  Databases  Lab-Software Systems  Mozafari, Barzan  

U-M, IBM Partner on Advanced Conversational Computing System

The University of Michigan and IBM have launched a $4.5 million collaboration to develop a new class of conversational technologies that will enable people to interact more naturally and effectively with computers. Under the project, the researchers will develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university. [Full Story]

Related Topics:  Artificial Intelligence  Baveja, Satinder Singh  Lab-Artificial Intelligence  Lasecki, Walter  Lee, Honglak  Mars, Jason  Mihalcea, Rada  Mower Provost, Emily  Radev, Dragomir  Tang, Lingjia  

Censys Enables Fast Searching of Actionable Internet Data

CSE researchers have introduced Censys, a search engine that enables researchers to ask questions about the hosts and networks that compose the Internet and get an immediate reply. Censys builds on past work at Michigan that produced the first fast Internet-wide scanner, ZMap. [Full Story]

Related Topics:  Graduate Students  Halderman, J. Alex  Lab-Software Systems  Networks and Networking  Security (Computing)  

U-M, Ford are First to Address Autonomous Driving on Snow-Covered Roads

Researchers at U-M and Ford have tested new technology that allows autonomous vehicles to navigate on snow-covered streets. Their solution combines live LIDAR data with learned 3D map stores to enable the systems to compute location and to drive successfully. It is believed that this is the first test to address the challenges of snow-covered roads. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  

Michigan Researchers Win the 2016 Applied Networking Research Prize

A team of researchers, including CSE graduate students Zakir Durumeric, David Adrian, James Kasten, CS student Ariana Mirian, and Prof. J. Alex Halderman have received The Applied Networking Research Prize (ANRP) for their paper, "Neither Snow Nor Rain Nor MITM... An Empirical Analysis of Email Delivery Security". The Applied Networking Research Prize (ANRP) recognizes the best new ideas in networking. [Full Story]

Related Topics:  Graduate Students  Halderman, J. Alex  Lab-Software Systems  Security (Computing)  Security (national and personal safety)  

2015 CSE Graduate Student Honors Competition Highlights Outstanding Research

Biruk Mammo was the winner of the 2015 CSE Graduate Student Honors Competition. The competition culminated on November 23, when four finalists presented on an area of their research, with a panel of CSE faculty and industry sponsors from Northrop Grumman ranking the presentations. [Full Story]

Related Topics:  Graduate Students  Lab-Computer Engineering (CE Lab)  

Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity

Profs. Edwin Olson and Ryan Eustice, working with Ford Motor Company, have been the first to test a fully autonomous vehicle at the University's Mcity test facility. The Ford vehicle features sensing and AI technology developed at Michigan. [Full Story]

Related Topics:  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Transportation  

The Promise and Perils of Predictive Policing Based on Big Data

Given our ability to sift through big data and to make predictions from it, we should not be surprised to learn that police departments are using data analysis to move toward "predictive policing." In this article, Prof. HV Jagadish comments on the potential benefits and pitfalls of such approaches. [Full Story]

Related Topics:  Big Data  Jagadish, HV  Lab-Software Systems  

The Future of Data Science: Kicking Off U-Ms Proactive Step into an Exploding Field

Researchers from around the nation gathered at Rackham on October 6 to celebrate the official launch of Michigans $100M Data Science Initiative. Central to this program is the new Michigan Institute for Data Science (MIDAS), which aims to make sense of the massive datasets researchers in every field now have at their disposal. The symposium, titled The Future of Data Science: A Convergence of Academia, Industry, and Government, was an all-day event featuring representatives of many major industries and academic institutions. [Full Story]

Related Topics:  Autonomous Vehicles   Big Data  Data Centers  Health  Hero, Alfred  Lab-Radiation (RADLAB)  Lab-Systems  Michielssen, Eric  

U of Michigan Project Combines Modeling and Machine Learning

This article in HPC Wire highlights ConFlux, the unique new facility, funded largely by NSF, to be built at Michigan which will enable supercomputer simulations to interface with large datasets while running. Prof. Barzan Mozafari will oversee the implementation ConFlux. [Full Story]

Related Topics:  Big Data  Lab-Software Systems  Mozafari, Barzan  Supercomputing  

Michigan Researchers Win Best Paper Award at VLDB 2015

Prof. H.V. Jagadish, the Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science, and CSE graduate student Fei Li have received the Best Paper Award at the 41st International Conference on Very Large Data Bases, which took place Aug 31st - Sept 4th in Kohala Coast, Hawaii. Their paper is entitled "Constructing an Interactive Natural Language Interface for Relational Databases". [Full Story]

Related Topics:  Big Data  Jagadish, HV  Lab-Software Systems  

University of Michigan Develops Social Sensory Surfaces for Autism Therapy [Video]

This story on WDET covers the work of students from EECS and the School of Art and Architecture in creating a blend of light, music, and structure to provide highly sensory experiences for children with autism spectrum disorder. Prof. Sean Ahlquist is interviewed; Dr. David Chesney appears in the video. [Full Story]

Related Topics:  Chesney, David  Engineering for the Greater Good  Technology and Wellness  

Michigan Rolls a Different Kind of Car off a Different Kind of Assembly Line

This story on the Big Ten Network highlights the work of Prof. Edwin Olson, who is using 3-D printed low-speed electric vehicles provided by alternative carmaker Local Motors to develop an intelligent transportation on demand system built around autonomous vehicles. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles   Lab-Artificial Intelligence  Olson, Edwin  Transportation  

Mary Lou Dorf Wins Best Paper Award at ASEE

Dr. Mary Lou Dorf and her collaborators have received the Best Paper Award at the 122nd American Society for Engineering Education Annual Conference and Exhibition (ASEE) for their paper entitled, "Student Performance Improvement using Interactive Textbooks: A Three-University Cross-Semester Analysis." [Full Story]

Related Topics:  Dorf, Mary Lou  Technology for Education  Women in Computing  

Researchers Employ Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest

Researchers including Prof. Dragomir Radev and his former student and alumnus Rahul Jha teamed up with Bob Mankoff, Cartoon Editor for The New Yorker, to take a computational approach to understanding humor. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Radev, Dragomir  

Show All