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Third annual MIDAS research symposium emphasizes an interdisciplinary approach to data analysis

Big data, data science and analytics were among the main topics discussed at the third annual Michigan Institute for Data Science daylong research symposium Wednesday, Oct 11, at Rackham Auditorium and the Michigan League. Alfred Hero, co-director of MIDAS and professor of electrical engineering and computer science, spoke about how this diverse set of speakers aligns with the theme of the symposium, "A Data-Driven World: Potentials and Pitfalls." [Full Story]
Related Topics:  Big Data   Signal & Image Processing and Machine Learning   

Alfred O. Hero Receives CoE Stephen S. Attwood Award

Al Hero, John H. Holland Distinguished University Professor and R. Jamison and Betty Williams Professor of Engineering, received the 2016-2017 Stephen S. Attwood Award, which is the highest honor awarded to a faculty member by the College of Engineering. It recognizes "extraordinary achievement in teaching, research, service, and other activities that have brought distinction to the College and University." [Full Story]
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U-M Shannon Centennial Symposium Celebrates the Father of Information Theory

Researchers from around the nation gathered at the University of Michigan in Ann Arbor to celebrate the 100th birthday of alumnus Claude E. Shannon (BSE EE/Eng Math , ScD hon. ) at the Shannon Centennial Symposium on September 16, 2016, co-organized by Al Hero, Hye Won Chung, Dave Neuhoff, and Sandeep Pradhan. All four plenary talks are available online. [Full Story]
Related Topics:  Alumni   Neuhoff, David L.   Pradhan, S. Sandeep   

Hacking Healthcare - How Big Data is Driving Big Changes in Medicine

The article by CoE writer Gabe Cherry highlights the work being done by Jenna Wiens and her collaborators on using big data to predict which hospital patients are at risk of developing a life-threatening intestinal infection called Clostridium difficile, or C. diff. It also provides context on the big data initiatives taking at UM in general and with respect to healthcare, and across EECS, including work by Prof. Barzan Mozafari on how to improve the design of big data databases. [Full Story]
Related Topics:  Baveja, Satinder Singh   Big Data   Machine Learning   Michielssen, Eric   Mower Provost, Emily   Mozafari, Barzan   Wiens, Jenna   

Prof. Al Hero Editor of New Book: Big Data over Networks

Alfred O. Hero, III, John H. Holland Distinguished University Professor of EECS and R. Jamison and Betty Williams Professor of Engineering, is co-editor of the book, Big Data over Networks, published by Cambridge University Press, along with Prof. Shuguang Cui (Texas A&M), Prof. Zhi-Quan Luo (U. Minnesota), and Prof. Jos Moura (CMU). The book explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. [Full Story]
Related Topics:  Big Data   

The Future of Transportation

The National Academy of Engineering held a regional meeting at Michigan focusing on driverless cars and connected transportation. Read more about Big Data for Transportation, led by Prof. Al Hero; Cybersecurity for Transportation, led by Prof. Kang G. Shin; and the overall program. [Full Story]
Related Topics:  Shin, Kang G.   

Alfred O. Hero, III Named John H. Holland Distinguished University Professor of EECS

Alfred O. Hero, III, R. Jamison and Betty Williams Professor of Engineering, has been named the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science in acknowledgement of his extraordinary accomplishments that have brought distinction to himself, his students, and to the entire University. [Full Story]
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Engineering a Better Life for People with Diabetes

Eran Bashan (PhD EE:S 08) decided to tackle the way diabetes was treated. So he co-founded Hygieia with friend and colleague, Dr. Israel Hodish, in 2008. Hygieia does two key things for its patients; it develops medical devices that automatically evaluate and optimize insulin dosage, and it provides patient consulting and training that is carried out by on-staff nurses, reducing the need for frequent trips to the doctor. [Full Story]
Related Topics:  Alumni   Entrepreneurship   Fessler, Jeffrey   Health   

Al Hero gets a shoutout from the court

Alfred O. Hero, received the spotlight at Tuesday evening's basketball game against Indiana. He was recognized as part of a program to shine the light on the University's most distinguished faculty. Prof. Hero, an internationally recognized expert in the field of signal and image processing, is the R. Jamison and Betty Williams Professor of Engineering, and co-director of the recently launched Michigan Institute for Data Science (MIDAS). [Full Story]
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Al Hero Receives 2015 IEEE Signal Processing Society Award

Alfred Hero, R. Jamison and Betty Williams Professor of Engineering, has received the 2015 IEEE Signal Processing Society Award, for contributions to the field of statistical signal and image processing and for sustained service to the Society. This is ahe highest award given by the Signal Processing Society, and honors outstanding technical contributions in the field, as well as outstanding leadership. [Full Story]
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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   Health   Michielssen, Eric   Warehouse-Scale and Parallel Systems   

Michigan Institute for Data Science: Bringing the MIDAS Touch to Big Data

Prof. Al Hero is co-director of the new Michigan Institute for Data Science (MIDAS), which aims to facilitate finding the gold nuggets in the massive data sets now available to researchers in virtually all fields. Called the Michigan Institute for Data Science (MIDAS), it is the new focal point for the multidisciplinary discipline of data science at Michigan, and part of Michigan's $100M Data Science Initiative. [Full Story]
Related Topics:  Big Data   

Zhaoshi Meng Receives Best Paper Award at CAMSAP 2013

Zhaoshi Meng, a doctoral student in the Electrical Engineering:Systems program, received 2nd place in the Student Paper Competition at the 5th IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013). [Full Story]
Related Topics:  Machine Learning   Networking, Operating Systems, and Distributed Systems   Signal & Image Processing and Machine Learning   

Al Hero Named 2013 IEEE SPS Technical Achievement Award Winner

Prof. Alfred O. Hero received the 2013 IEEE Signal Processing Society (SPS) Technical Achievement Award, "for information-theoretic advances in statistical signal processing and machine learning." This award honors a person who, over a period of years, has made outstanding technical contributions to theory and/or practice in technical areas within the scope of the SPS. [Full Story]
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Research that will lead to sharper photos earns best paper award

Research by Dr. Paul Shearer, Prof. Alfred O. Hero, III and Prof. Anna Gilbert, earned Best Paper Award at the 2013 IEEE International Conference on Image Processing. The researchers tackled the problem of "camera shake," which is inevitable in cases where a tripod is either not available or practical for taking pictures. [Full Story]
Related Topics:  Signal & Image Processing and Machine Learning   

Research in distributed networks earns Notable Paper Award at AISTATS

The research by Prof. Al Hero, ECE graduate student Zhaoshi Meng, and Dr. Dennis Wei provides a way to efficiently reveal relationships between even distant entities in a network, whether it be a social network or a network of sensors. The group will present their research at the 16th Int. Conference on Artificial Intelligence and Statistics. [Full Story]
Related Topics:  Machine Learning   Networking, Operating Systems, and Distributed Systems   Signal & Image Processing and Machine Learning   

Predicting your risk of illness

Imagine a future when you could predict whether or not you are at risk of becoming sick. Prof. Al Hero is working to make that a reality with his research into the human genome's response to viral illnesses. Watch the video to learn more. [Full Story]
Related Topics:  Genetics   Health   Signal & Image Processing and Machine Learning   

MCubing by ECE Faculty to find answers - fast

Ten different ECE faculty are teaming up with colleagues across the University - from Epidemiology to Political Science, Ophthalmology to Psychiatry, Neurosurgergy to Astronomy - to pursue new initiatives deemed to have major societal impact in the U-M MCubed program. [Full Story]
Related Topics:  Big Data   Brain   Cancer   Energy Science and Engineering   Flynn, Michael   Gianchandani, Yogesh   Graphene   Grbic, Anthony   Guo, L. Jay   Health   Ku, Pei-Cheng (P.C.)   LEDs   Medical diagnosis   Plasma Science and Engineering   Solid-State Devices and Nanotechnology   Space technology   

Signal Processing @ Michigan: Putting Theory to Work for a Better World

Signal processing is the art of generating, transforming, and interpreting information, which we think of as being a signal. Some signals can be detected electronically, while others might be a pattern that arises from data such as a gene pool, social media activity, or economic data. Signal processing delves into nearly as many application areas as can be conceived. [Full Story]
Related Topics:  Balzano, Laura   Fessler, Jeffrey   Kieras, David   Munson Jr., David C.   Nadakuditi, Rajesh Rao   Neuhoff, David L.   Scott, Clayton D.   Signal & Image Processing and Machine Learning   Wakefield, Gregory H.   

Next-generation Systems Information Theory

Called Value-centered information theory for adaptive learning, inference, tracking, and exploitation, this MURI led by Prof. Al Hero has the goal of laying the foundation for a new systems information theory for next-generation autonomous and adaptive sensing systems. [Full Story]
Related Topics:  Information Technology   Nadakuditi, Rajesh Rao   Networking, Operating Systems, and Distributed Systems   Sensors   Signal & Image Processing and Machine Learning   Theory of Computation   

Breakthrough: Researchers find wide gap in immune responses of people who did or didnt get the flu after exposure

Prof. Al Hero and colleagues in medicine and genomics are using genomics to begin to unravel what in our complex genomic data accounts for why some get sick while others don't. [Full Story]
Related Topics:  Big Data   Genetics   Health   Signal & Image Processing and Machine Learning   

New Techniques in Medical Informatics Lead to Improved Diagnosis of MDS

Research by Prof. Al Hero and colleagues in the area of medical informatics is leading to better diagnosis and prognosis of patients with serious blood borne diseases. [Full Story]
Related Topics:  Big Data   Genetics   Health   Signal & Image Processing and Machine Learning   

Al Hero Receives Distinguished Faculty Achievement Award

Prof. Hero was recognized for being an internationally recognized expert in the field of signal and image processing, an established leader in the professional community, and a distinguished educator. [Full Story]
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Al Hero Receives Signal Processing Magazine Best Paper Award

Prof. Hero and his co-authors received this award for their important work in localization in wireless sensor networks, published in 2005. [Full Story]
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Research in Flow Cytometry Receives Award for Best Original Paper

Prof. Al Hero and colleagues' new method for clinical flow cytometry, called FINE, employs manifold learning and information geometry. The article about the work was awarded for being the most original of the year. [Full Story]
Related Topics:  Big Data   Health   Signal & Image Processing and Machine Learning   

Professor Al Hero Appointed R. Jamison and Betty Williams Professor of Engineering

Prof. Al Hero conducts research interests in adaptive sensing, inference in sensor networks, bioinformatics, inverse problems, and statistical signal and image processing. [Full Story]
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Professor Al Hero Elected to IEEE Board of Directors

Prof. Al Hero has been elected to the IEEE Board of Directors as Director of Division IX (Signals and Applications). His official term of service will be 2010-2011, and he will serve as Director-Elect in 2009. [Full Story]
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Al Hero Receives Digiteo Chaire dExcellence

Prof. Al Hero has been selected to receive a Digiteo chaired research faculty position in France. He will conduct research during the summer months on Distributed Active Networks: Sensing and Estimation, applied to both gene regulation networks and ad hoc communications networks. [read more ...]
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New Textbook: Foundations and Applications of Sensor Management

By Prof. Al Hero, et al. Prof. Hero is also affiliated with the departments of Biomedical Engineering, and Statistics at U-M. His research interests include: Statistical communication theory, Signal processing, Detection and estimation theory, and Tomographic imaging. [More info...]
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Hero Elected President-Elect

Al Hero has been elected President-Elect of the IEEE Signal Processing Society Board of Governors. Hewill serve two years in this role, followed by two years as President,and then two years as Past-President.
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Distinguished Lecturer

I am very pleased to announce that Prof. Al Hero has been selected by the IEEE Signal Processing Society Education Committee as a Society Distinguished Lecturer (DLs) for 2002. The nomination represents a high recognition of his professional achievement.

As a Distinguished Lecturer, Al is one of six DLs who will give lectures to chapters world-wide on signal processing topics. Congratulations, Al!

Rich
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