Research describing quantum-inspired computational imaging earns impact awardThis Q&A with award co-recipient Alfred Hero offers a glimpse into the emerging field of single photon imaging.
The paper Quantum-inspired computational imaging received a Best Paper Award
Research to simplify big data graphs earns Best Paper Award at IEEE SSP 2023Research 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.
Cognitive performance variability may predict severity of viral infection, a UMich collaborative study findsAccording to Prof. Al Hero, who led this portion of the research, “computerized cognitive tests could be used to measure cognitive health for data collection in future studies as well. The web-based tests could help physicians and public health authorities assess the susceptibility of a particular population to respiratory infections.”
Can simple brain quizzes predict who gets a virus?Listen to this interview with Prof. Al Hero and collaborator Dr. Murali Doraiswamy (Psychiatry and Behavioral Sciences, Duke U.) regarding their recent discovery linking cognitive performance and one’s vulnerability to getting sick.
A brain game may predict your risk of infectionWhen a person’s cognitive function is highly variable, they’re likely to be more infectious and have more symptoms after exposure to a respiratory virus.
Neophytos Charalambides receives Best Poster Award for research in the area of Data ScienceThe research can be applied to a wide range of big data applications that rely on the multiplication of two matrices in linear algebra.
Hero research featured on the cover of Entropy
Designing Synthetic Human Gut Microbiome with AIProf. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut
Machine learning begins to understand the human gutIn 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.
Machine learning begins to understand the human gutThe new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
Atkins chairs National Academies report on speeding discovery with automated research workflowsProf. 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.
Teaching Machine Learning in ECEWith 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
Immune to hacks: Inoculating deep neural networks to thwart attacksThe adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks
Katie Bouman talks legacy of the black hole imaging project and favorite U-M memoriesBefore Bouman became the face of the project that brought us the first ever image of a black hole, she was wowing ECE professors with design projects and hoarding Domino’s pizza with her HKN family.
Statistical and Machine Learning: Efforts on Solar Flare Predictions I & IITune in to this special session, offered on August 9 and August 12, 2021 at the Joint Statistical Meeting.
Wearable health monitoringRead the pre-print, “Could a smartwatch identify an infection before you start spreading it?” published in Neurosciencenews.com
Catching nuclear smugglers: Fast algorithm could enable cost-effective detectors at bordersPhysOrg spread the word about Hero’s work with Sara Pozzi and others. The research was published in Scientific Reports.
Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders
Could a smartwatch identify an infection before you start spreading it?
Alfred Hero named Fellow of Society for Industrial and Applied Mathematics (SIAM)
2020 Fellow of SIAM2020 Class of Fellows of the Society for Industrial and Applied Mathematics (SIAM)
Using machine learning to detect disease before symptoms manifestProf. 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.
Machine Learning takes over the EECS AtriumStudents in EECS 545: Machine Learning, taught by Prof. AL Hero, presented their final projects in a poster session sponsored by KLA.
Machine Learning and Systems: A conversation with 2020 Field Award winners Al Hero and Anders Lindquist
Alfred Hero Receives 2020 IEEE Fourier Award
Alfred Hero General Co-Chair of IEEE International Symposium on Information Theory
Elizabeth Hou recognized for her research on detecting anomalies in traffic networks
ECE and data science: a natural connection
New Journal! SIAM Journal on Mathematics of Data ScienceHero is a Section Editor for the new SIAM Journal on Mathematics of Data Science.
Report on the Big Data in Finance ConferenceHero chaired panel on data privacy. Read the report on the Big Data in Finance Conference, a meeting hosted by US Office of Financial Research.
Envisioning the Data Science Discipline (Interim Report)Hero co-chaired the study for Interim report on the Envisioning the Data Science Discipline: The Undergraduate Experience, which was run by the US National Academies and funded by NSF.
Hero is Committee Chair of CATSHero is Committee Chair for the Committee on Applied and Theoretical Statistics (CATS), a sub-committee of the Board on Mathematical Science and Analytics (BMSA) of the US National Academies of Sciences, Engineering, Medicine.
Improving communication between humans and robots in 20 noisy questions
Alfred Hero illustrates common threads of complex networks in Distinguished University Professor lecture
Alfred Hero receives CoE Professional Leadership and Service Award
Alfred O. Hero receives CoE Stephen S. Attwood Award
U-M Shannon Centennial Symposium Celebrates the father of information theory
Prof. Al Hero editor of new book: Big Data over Networks
Alfred O. Hero, III named John H. Holland Distinguished University Professor of EECSHero is honored for his extraordinary accomplishments that have brought distinction to himself, his students, and to the entire University.
Al Hero gets a shoutout from the court
Al Hero receives 2015 IEEE Signal Processing Society Award
Michigan Institute for Data Science: Bringing the MIDAS touch to big data
Zhaoshi Meng receives Best Paper Award at CAMSAP 2013
Al Hero named 2013 IEEE SPS Technical Achievement Award Winner
Pin-Yu Chen receives Rackham Chia-Lun Lo Fellowship
MCubed A Year Later: A record of fostering innovative research
Research that will lead to sharper photos earns best paper award
Research in distributed networks earns Notable Paper Award at AISTATS
ECE faculty are MCubing to find answers – fast
Predicting your risk of illness
Next-generation Systems Information Theory
Breakthrough: Researchers find wide gap in immune responses of people who did or didnt get the flu after exposure
New techniques in medical informatics lead to improved diagnosis of MDS
Al Hero receives Distinguished Faculty Achievement Award
Kevin Xu awarded NSERC Fellowship
Prof. Al Hero receives 2009 Signal Processing Magazine Best Paper Award
Professor Al Hero appointed the R. Jamison and Betty Williams Professor of Engineering
Former Hero-group PhD student, Pin-Yu Chen now at IBM, is the winner of the 2023 IJCAI Computers and Thought Award. Dr. Chen is recognized for his contributions to consolidating properties of trust, robustness and safety into rigorous algorithmic procedures and computable metrics for improving AI systems.