Big Data
Matthew Raymond recognized for research using ML techniques to design new types of medicine
Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.Can Yaras recognized for his research aimed at efficient algorithms for LLMs
Doctoral student Can Yaras wants to reduce the carbon footprint of AI.Linking online and offline social networks to better predict real world impact
Prof. Lei Ying leads a new MURI that is focused on the interplay between online and offline networks and how they could impact disruptive behavior and events.Nouman Khan works to study and improve the operation of multi-agent systems and networks
Khan was awarded a Rackham International Student Fellowship for his research on data-driven control of multi-agent systems, as well as research that studies the spread of information in networks.Improving generative AI models for real-world medical imaging
Professors Liyue Shen, Qing Qu, and Jeff Fessler are working to develop efficient diffusion models for a variety of practical scientific and medical applications.Improving the accuracy and applicability of large language models, like ChatGPT
Prof. Al Hero’s new method, which enhances the reliability of predictive models and promises to reduce the risk of AI hallucinations, was selected as a spotlight paper at NeurIPS 2023.Open-source training framework increases the speed of large language model pre-training when failures arise
Pipeline templates strike a balance between speed and effectiveness in resilient distributed computing.Research to simplify big data graphs earns Best Paper Award at IEEE SSP 2023
Research by PhD student Neophytos Charalambides and Professor Alfred Hero addresses computational and storage bottlenecks for graphs used in statistical problems, signal processing, large networks, combinatorial optimization, and data analysis.Qing Qu receives Amazon Research Award
Qu's research project in the area of machine learning algorithms and theory is called "Principles of deep representation learning via neural collapse." Awardees, who represent 54 universities in 14 countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.Machine learning begins to understand the human gut
In this Next Byte podcast, the hosts discuss Prof. Al Hero's recently published research that describes how machine learning can be used to better understand the human gut.H.V. Jagadish named Edgar F. Codd Distinguished University Professor of EECS
Professor Jagadish is being recognized for his work as one of the nation’s most visible and influential researchers in the interdisciplinary field of data scienceTeaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the UniversityImmune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacksQing Qu receives CAREER award to explore the foundations of machine learning and data science
His research develops computational methods for learning succinct representations from high-dimensional data.New grant aims to create better algorithms to manage big data by getting “non-real”
Professors Laura Balzano and Hessam Mahdavifar are developing new ways to compress data through randomized algorithms to remove redundancies“Get non-Real”: Department of Energy grant funds novel research in High-Performance Algorithms at U-M
The Michigan Institute for Computational Discovery and Engineering (MICDE) features research led by Prof. Laura Balzano and Prof. Hessam Mahdavifar that will help revolutionize the data processing pipeline with state-of-the-art algorithms to optimize the collection and processing of any kind of data.The artistry of mathematical models
Artist and professor Jessica Wynne features Prof. Laura Balzano’s blackboard in a photography series that captures the abstract beauty of problem solving.Qing Qu uses data and machine learning to optimize the world
Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award
Tracking COVID-19 spread faster, and more accurately
How predictive modeling could help us reopen more safely
Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels
Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders
Xueru Zhang awarded Rackham Predoctoral Fellowship
Could a smartwatch identify an infection before you start spreading it?
Analytical model predicts exactly how much a piece of hardware will speed up data centers
Advancing the future of circuit design with Intel’s Dr. Eric Karl
Using machine learning to detect disease before symptoms manifest
Prof. Alfred Hero speaks to ECE about his work using data to predict the transmission of infectious disease among people who are pre-symptomatic or asymptomatic and how it relates to COVID-19.Big data, small footprint
Generating realistic stock market data for deeper financial research
Laura Balzano wins Education Excellence Award from the College of Engineering
Three faculty earn MIDAS grants to broaden the frontiers of data science
Beyond Moore’s Law: taking transistor arrays into the third dimension
Dave Neuhoff says farewell after 45 years championing students, faculty, and the department
$2M NSF grant to explore data equity systems
Researchers plan to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.$1M NSF grant supports new system for gathering, structuring data with ease
Automated tool optimizes complex programs better than humans
Computer vision: Finding the best teaching frame in a video for fake video fightback
Laura Balzano aims to improve precision medicine as a Fulbright Scholar
Laura Balzano receives NSF CAREER Award to improve machine learning for big data applications
‘Air traffic control’ for driverless cars could speed up deployment
Laura Balzano receives ARO Young Investigator Award to improve high-dimensional big data problems
ECE and data science: a natural connection
Two papers announced among 10 most influential in healthcare and infection control
Laura Balzano receives AFOSR Young Investigator Award for research that addresses massive streaming data
Michigan Data Science Team wrangles big data
Tool for structuring data creates efficiency for data scientists
Undocumented immigrants’ privacy at risk online, on phones
Cafarella Receives VLDB Test of Time Award for Structured Web Data Search
Laura Balzano partners with 3M to advance research in big data
Prof. Laura Balzano received a 2018 3M Non-Tenured Faculty Award to advance her research in Big Data.Study maps careers of CS PhDs using decades of data
“Stitching” together a web user from scattered, messy data
$6.25M MURI project will decode world’s most complex networks
Improving communication between humans and robots in 20 noisy questions
Alfred Hero illustrates common threads of complex networks in Distinguished University Professor lecture
U-M, Cavium partner on Big Data research computing platform
$1.6M toward artificial intelligence for data science
Michigan, Georgia Tech researchers funded to deter financial market manipulation
“Learning database” speeds queries from hours to seconds
Codeon is the intelligent assistant for software developers
Kurator Will Help You Curate Your Personal Digital Content
Movie design for specific target audiences
Social interaction patterns provide clues to real life changes
COVE: a tool for advancing progress in computer vision
Shadows in the Dark Web
Secrets lurk in the dark web, the 95 percent of the internet that most of us can't see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.Summer Bootcamp prepares undergraduates for work with big data
Collecting data to better identify bipolar disorder
U-M data science projects explore connection between student achievement, well-being
A project led by Prof. Rada Mihalcea seeks to uncover connections between students’ personal attributes such as values, beliefs, interests, behaviors and backgrounds and their success in school or overall sense of well-being.Fighting cyber crime with data analytics
Google, U-M to build digital tools for Flint water crisis
Clark Zhang earns NSF Fellowship for data processing in MEMS networks
U-M researchers launch fight against C. difficile with $9.2M grant from NIH
Machine learning proves useful for analyzing NBA ball screen defense
Michael J. Cafarella selected for Sloan Research Fellowship
Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
Censys enables fast searching of actionable internet data
The Promise and Perils of Predictive Policing Based on Big Data
Laura Balzano receives Intel Early Career Faculty Honor Program Award for research in big data
Michigan Institute for Data Science: Bringing the MIDAS touch to big data
A real-world approach to digital signal processing
Yang Liu receives Best Applications Paper Award for cyber security research in phishing
Mapping the brain with lasers
Researchers Expose Security Flaws in Backscatter X-ray Scanners
Researchers demo hack to seize control of municipal traffic signal systems
Barzan Mozafari and collaborators chosen for best demo at ACM SIGMOD
Research in machine learning earns Notable Paper Award at AISTATS 2014
Gopal Nataraj earns Best Paper Award for improving MRI
Image processing 1,000 times faster is goal of new $5M contract
Third Annual Data Mining Workshop Brings Together 100+ Researchers
100+ researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.Prof. Raj Nadakuditi receives 2012 SPS Young Author Best Paper Award
New techniques in medical informatics lead to improved diagnosis of MDS
Clay Scott Receives CAREER Award for Research in Signal Processing