Group webpage: http://web.eecs.umich.edu/~hero/

One-‐page faculty profile for UM-‐SJTU Research Collaboration

7 th

round of seed funding

Topic: Data Sciences for Sustaining Critical Infrastructures for the Environment and Human Health

Name

Alfred Hero, R. Jamison and Betty Williams Prof of Engineering

Email address: hero@umich.edu

Group webpage:

http://web.eecs.umich.edu/~hero/

Email See above

Research interests

(general)

Statistics of high dimensional spatio-‐temporal data, statistical signal processing, and machine learning. Applications to networks, including social networks, multi-‐modal sensing and tracking, database indexing and retrieval, imaging, biomedical signal processing, and biomolecular signal processing.

Research interests for seed program

Biography

Alfred O. Hero III is the R. Jamison and Betty Williams Professor of Engineering and co-‐ director of the Michigan Institute for Data Science (MIDAS) at the University of Michigan,

Ann Arbor . His primary appointment is in the Department of Electrical Engineering and

Computer Science and he also has appointments, by courtesy, in the Department of

Biomedical Engineering and the Department of Statistics . He received the B.S. (summa cum laude) from Boston University (1980) and the Ph.D from Princeton University (1984), both in Electrical Engineering. He is a Fellow of the Institute of Electrical and Electronics

Engineers (IEEE) . He has served as President of the IEEE Signal Processing Society and as a member of the IEEE Board of Directors. He has received numerous awards for his scientific research and service to the profession including the IEEE Signal Processing Society

Technical Achievement Award in 2013 and the 2015 Society Award, which is the highest career award bestowed by the IEEE Signal Processing Society. Alfred Hero's recent research interests are in the data science of high dimensional spatio-‐temporal data, statistical signal processing, and machine learning. Of particular interest are applications to networks, including social networks, multi-‐modal sensing and tracking, database indexing and retrieval, imaging, biomedical signal processing, and biomolecular signal processing.

Please return completed forms to Ann Leffler (aleffler@umich.edu).

Name


7 th



Brian D. Athey, Ph.D.

Michael A. Savageau Collegiate Professor and Chair

Department of Computational Medicine & Bioinformatics

(DCM&B)

Professor of Psychiatry and Internal Medicine

Co-Director, Michigan Institute for Data Science (MIDAS)

Email address: bleu@umich.edu

Group webpage:

Email


(general) bleu@umich.edu

My recent research interests are in the creation and use of bioinformatics pipelines, epigenomics, and machine learning methods to radically improve the efficacy of psychiatric pharmacogenomics—allowing patients to take the most effective drug for their illness and suffer the fewest side effects. He is also developing new high-throughput methods to analyze images of genes in the context of the cellular nucleus (the 4D Nucleome) to better understand the machinery of bioinformatics in context.


Big Data at the interface of health care and the environment.

Biography

Brian Athey is the Michael Savageau Professor and founding Chair of the Department of

Computational Medicine and Bioinformatics in the U-M Medical School, where he also has appointments as a Professor of Psychiatry and of Internal Medicine. Brian has served as Director of Academic Informatics and as Associated Director of the Michigan Institute for Clinical and

Health Research. Brian also serves a founding Co-director of the U-M wide Michigan Institute for Data Science (MIDAS).

Brian received his Ph.D. in Cell and Molecular Biology (Biophysics Concentration) at the

University of Michigan in 1990, and was trained as a macromolecular structural biologist, where he made seminal contributions to our understanding of chromatin structure. Brian has led many well-known data intensive projects including the National Library of Medicine (NLM) Visible

Human Project, the DARPA Virtual Soldier Project, and the NIH National Center for Integrative

Biomedical Informatics (NCIBI). He was an early leader in the NIH Clinical and Translational

Sciences Award (CTSA) Biomedical Informatics movement, and was the founding Co-Chair of its Informatics Key Function Committee (IKFC). He was also the PI of the Michigan Center for

Biological Information (MCBI), which helped to establish the current statewide Michigan

University Research Corridor (urcmich.org). Brian is currently serving as a co-founder and

Chief Science Officer (CSO) of the tranSMART Foundation. tranSMART is the standard open science translational bioinformatics analysis platform used by the pharmaceutical industry.

Brian is the Principal Investigator of one of the most well established NIH Training Programs in Bioinformatics in the US. He is an elected fellow of the American College of Medical

Informatics (FACMI). He has consulted extensively for the Defense Advanced Research


7 th



Projects Agency and at the NIH Office of the Director. He has also been a Peace Fellow of the

Federation of American Scientists (Fas.org) for his work countering biological terrorism.



7 th



Branko

Kerkez

Assistant Professor

Civil and Environmental

Engineering bkerkez@umich.edu tinyurl.com/bkerkez

Email

bkerkez@umich.edu


(general)


Smart water systems, sensor networks, water resources.

Biography

Branko Kerkez an assistant professor and Berker and Gokyigit Faculty Scholar in the Civil and Environmental Engineering department at the University of Michigan.

He obtained his M.S. and Ph.D. in Civil and Environmental Engineering, and an M.S. in Electrical Engineering and Computer Science, all from UC Berkeley. His research interests include water, data and sensors.



7 th



Name

Dan Brown, Professor and Interim Dean

School of Natural Resources and Environment

Group webpage:

personal.umich.edu/~danbrown/ http://esa.snre.umich.edu/ http://www-

Email danbrown@umich.edu


(general)

Research interests for seed program human-‐environment interactions, GIS

Land use and land cover change, spatial analysis, remote sensing, agent-based modeling

Biography

Daniel G. Brown (PhD in Geography, 1992, University of North Carolina at Chapel Hill) is

Professor in the School of Natural Resources and Environment at the University of

Michigan. His work, published in over 150 refereed articles, chapters, and proceedings papers, has aimed at understanding human-‐environment interactions through a focus on land-‐use and land-‐cover changes, through modeling these changes, and through spatial analysis and remote sensing methods for characterizing landscape patterns. Recent work has used agent-‐based and other spatial simulation models to understand and forecast landscape changes that have impacts on carbon storage and other ecosystem services, and human health and well-‐being. He has conducted field work on three different continents: North America, Asia, and Africa. He has chaired the Land Use Steering Group and Carbon Cycle Steering Group and was a lead coordinating author for the third National

Climate Assessment, all under the auspices of the U.S. Climate Change Science Program.

In addition, he has served as a member of the NASA Land Cover and Land Use Change

Science Team, as panelist for the National Research Council, NASA, EPA, USDA Forest

Service, the National Science Foundation, and the European Research Council, and on the

Editorial Boards for Landscape Ecology , Computers, Environment and Urban Systems ,

International Journal of Geographical Information Science , and the Journal of Land Use

Science . In 2009 he was elected fellow of the American Association for the Advancement of Science.



7 th



Name

Kayvan Najarian

Associate Professor , Department of Computational Medicine and

Bioinformatics, School of Medicine, University of Michigan, Ann

Arbor

Email address: kayvan@umich.edu

Group webpage:

http://najarianlab.ccmb.med.umich.edu/

Email kayvan@umich.edu


(general)


Big Data, Computer-Aided Clinical Decision Support Systems, Biomedical Signal and

Image Processing, Machine Learning for Medicine

Big Data Analytics for Clinical Decision Making and Resource Optimization

Biography

Dr. Kayvan Najarian is an Associate Professor at departments of Computational Medicine and Bioinformatics, and Emergency Medicine at the University of Michigan. The focus of

Dr. Najarian’s research is on the design of signal/image processing and machine learning methods to create computer-assisted clinical decision support systems that improve the quality of patient care and reduce the costs of healthcare. Funded by agencies such as

National Science Foundation and Department of Defense, Dr. Najarian’s research focuses on creating clinical decision support systems to manage traumatic injuries, in particular traumatic brain injuries, hemorrhagic shock, cardiac arrest and other critical care states. Dr.

Najarian’s lab also designs sensors to collect and analyze physiological signals and images.

He serves as the Editor-in-Chief of Biomedical Engineering and Computational Biology,

Associate Editor of two other journals in the field of biomedical informatics, and the editorial board of several other journals in the field. Dr. Najarian has over 200 peerreviewed journal and conference publications. He also serves as an Associate Director of

Michigan Center for Integrative Research in Critical Care (MCIRCC), which is one of the world’s first comprehensive research enterprises devoted to improving the care of the victim of critical illness and injury. MCIRCC is pursuing this unique mission by creating an innovative multidisciplinary research infrastructure designed to catalyze the translation of scientific discovery to the multiple interrelated disease platforms of critical illness and injury. MCIRCC serves as the scientific home and platform for basic scientists, engineers, clinical investigators, inventors and entrepreneurs interested in the care of patients with life-threatening acute illness and injury.


Name


7 th



Lutgarde Raskin

Altarum/ERIM Russell O'Neal Professor of Engineering ,

University of Michigan

Department of Civil and Environmental Engineering


Email address: raskin@umich.edu

Group webpage: http://envbiotech.engin.umich.edu/

Email raskin@umich.edu


(general)

I am inspired by the complexity of the microbial world and the astonishing progress we have made in the field of microbial ecology over the past few decades. This progress continuously motivates me to rethink engineered systems so we can better harness the power of microorganisms to treat water and recover resources from waste stream. Most of the research projects my team and I work on strive to understand and improve various aspects of the engineered water cycle microbiome to improve human health using sustainable design approaches. We especially focus on (i) water and energy recovery from waste streams and energy crops, and (ii) drinking water systems including biofiltration, disinfection, distribution and premise plumbing.


Use my expertise in microbial water quality to develop meaningful real-time monitoring and control strategies to reduce the public health impacts of aging urban water infrastructure.

Biography

Dr. Raskin is a pioneer and an internationally recognized scholar in the application of molecular techniques to study the dynamics of complex microbial communities in a variety of water quality control processes. Most of her research focuses on various aspects of the engineered water cycle microbiome to improve human health using sustainable design approaches. Her laboratory especially focuses on (i) water and energy recovery from waste streams, and (ii) drinking water systems including biofiltration, disinfection, distribution, and premise plumbing.

She has published 120 papers in high impact journals. Her work is well cited, receiving over

700 citations a year for the past five years. She further has made an impact through the contributions of her former students and postdocs. Dr. Raskin has served as the research advisor and mentor of approximately 60 graduate students (including 20 Ph.D. students) and 12 postdocs.

Dr. Raskin is an elected Fellow of the American Academy of Microbiology (since 2009) and the Water Environment Federation (since 2012). She further received the 2007 Association of

Environmental Engineering and Science Professors (AEESP) Frontier Award in Research, the

2006 American Society of Civil Engineers Walter L. Huber Civil Engineering Research Prize, the 2002 Paul L. Busch Award (Water Environment Research Foundation Endowment for

Innovation in Applied Water Quality Research), and a 1997 National Science Foundation

CAREER Award.



7 th



Name

Sara Adar

John G Searle Assistant Professor of Epidemiology

UM School of Public Health sadar@umich.edu

Group webpage:

https://sph.umich.edu/facultyprofiles/adar-sara.html

Email sadar@umich.edu


(general)


Biography

Air pollution and health, noise and health, individual susceptibility

Air pollution and health, noise and health, individual susceptibility



7 th



Name

Weidong Xiang, Associate Professor, ECE Dept. University of

Michigan, Dearborn.

http://www-personal.engin.umd.umich.edu/~xwd/

Email xwd@umich.edu


(general)

Wireless Communications; Vehicular Communications and Networks; Wireless sensor network; Internet of things;


Biography

Title: Big data collection through propertied dedicate short range communications (DSRC) networks sniffer and advanced processing for connected vehicle and autonomous vehicles in United State and China.

Related ongoing projects:

1) LGE, Road Testing and Modeling of Packet Latency for Dedicate Short Range

Communications (DSRC) and Long Term Evolution (LTE) Based V2X Systems, PI:

Weidong Xiang, 02/01/2015-‐07/31/2017, $199,860.

2) NSF, I-‐Corps, Development of Active Driving Assistance (ADA) Systems for Safety

Enhancement and Real Time Traffic Mapping, PI: Weidong Xiang, 12/15/2015-‐

5/31/2016. $50,000.

3) “Mobility Transformation Center, University of Michigan, Development of DSRC

Radios upon the IEEE 802.11p Standard and Physical Layer Security for Automated and Connected Vehicles Applications, PI: Weidong XIang, $100K, 2014-‐2015.”

Weidong Xiang received his M.S. and Ph.D. degrees from Tsinghua University, Beijing,

China, in 1996 and 1999, respectively. From 1999 to 2004, he worked as a Postdoctoral

Fellow/Research Scientist in the Software Radio Laboratory (SRL) at Georgia Institute of

Technology, Atlanta, USA. In 2004, he joined the ECE Department, University of

Michigan, Dearborn (UMD) where he currently is an Associate Professor. His research interest includes vehicular communications and networks, ultra-wideband (UWB), wireless networked control systems, Internet of Things and wireless positioning. He established and leads the Center for Vehicular Communications and Network Laboratory at UMD focusing on dedicate short range communications (DSRC), machine type communications (MTC),

LTE for high mobility applications and UWB positioning. He serves as an Associate

Editor/Editor for IEEE Communications Magazine, EURASIP Journal on Wireless

Communications and Networking and others. He has published 75+ technical papers in relevant international journals and conferences. His current research is widely supported by NSF, DoE, CISCO Research and other companies.



7 th



Name

Herek L. Clack

Research Associate Professor

U of M Dept. of Civil & Environmental Engineering

Email address: hclack@umich.edu

Group webpage:

http://clacklab.engin.umich.edu/

photo

Email hclack@umich.edu


(general)


Air pollution and air quality; aerosols, droplets and particulate matter; transport phenomena; electric charge effects on particles and fluid flows.

Airborne transmission of biological contaminants and infectious agents.

Biography

Herek Clack is a Research Associate Professor in the Department of Civil &

Environmental Engineering at the University of Michigan. Prof. Clack received his S.B. in Aeronautical and Astronautical Engineering from MIT (1987) and his M.S. (1997) and

Ph.D. (1998) in Mechanical Engineering from the University of California, Berkeley.

Prior to joining the U of M faculty, Prof. Clack was a tenured associate professor of

Mechanical and Aerospace Engineering at the Illinois Institute of Technology in

Chicago. Prof. Clack has received the Harry J. White Award for Outstanding

Achievement in the Science and Application of Electrostatic Precipitation from the

International Society for Electrostatic Precipitation (ISESP) (2013) and was awarded a

National Science Foundation Faculty Early Development (CAREER) Award in 2004.

He serves on the board of directors of the ISESP, as the vice-chair of the Control

Technology Working from of the American Association for Aerosol Research, and has served on several National Research Council committees addressing topics ranging from changes in environmental regulation to the destruction of chemical weapons stockpiles. He currently serves as a member of the standing oversight committee for the U.S. Army’s chemical demilitarization program and the Global Mercury Partnership

(GMP) sponsored by the United Nations Environmental Programme (UNEP).



7 th



Name

Hui Jiang jianghui@umich.edu

http://www-‐personal.umich.edu/~jianghui/

Email jianghui@umich.edu


(general)


Statistical Genomics and Bioinformatics

Statistical methods for analyzing environment and human health data

Biography

Hui Jiang is an Assistant Professor in the Department of Biostatistics at University of

Michigan. He received his Ph.D. in Computational and Mathematical Engineering from

Stanford University in 2009. He received his B.S. and M.S. in Computer Science from

Peking University. Before joining the University of Michigan in 2011, he was a postdoctoral scholar in the Department of Statistics and Genome Technology Center at

Stanford University. He is interested in developing statistical and computational methods for the analysis of large-scale biological data generated using modern high-throughput technologies.



7 th



Name

Dinov, Ivo

Associate Professor and SOCR Director

Health Behavior and Biological Science, Nursing

Michigan Institute for Data Science, University of Michigan statistics@umich.edu

http://SOCR.umich.edu


(general)


Mathematical modeling, statistical analysis, computational processing, scientific visualization of large datasets (Big Data), informatics, multimodal biomedical image analysis, and distributed genomics computing.

Predictive Big Data analytics, data harmonization and aggregation, modeling and inference, compressive big data analytics

Biography

Dr. Dinov is Director of the Integrative Biostatistics and Informatics Core , University of

Michigan Nutrition Obesity Research Center (MNORC) , Director of the Biostatistics and

Data Management Core, University of Michigan Udall Center for Excellence in Parkinson's

Disease , Co-‐Director of the Center for Complexity and Self-‐management of Chronic

Disease (CSCD Center) , Co-‐Director of the multi-‐institutional Probability Distributome

Project , and Associate Director, Education and Training, of the Michigan Institute for Data

Science (MIDAS) .


Name


7 th



Jon Lee , G. Lawton and Louise G. Johnson Professor of Engineering.

Department of Industrial and Operations Engineering, College of

Engineering, University of Michigan

Email address: jonxlee@umich.edu

Group webpage:

https://sites.google.com/site/jonleewebpage/

Email jonxlee@umich.edu


(general)


Biography

Jon's research focus is on nonlinear discrete optimization (NDO). Many practical engineering problems have physical aspects which are naturally modeled through smooth nonlinear functions, as well as design aspects which are often modeled with discrete variables. Research in NDO seeks to marry diverse techniques from classical areas of optimization, for example methods for smooth nonlinear optimization and methods for integer linear programming, with the idea of successfully attacking natural

NDO models for practical engineering problems.

Jon has done considerable work on developing optimization methods aimed at optimally locating environmental monitoring stations (for analyzing atmospheric deposition and study its effects on the environment), taking an information-theoretic

(entropy-based) approach to deal with the massive data that is currently collected.

This work remains the state-of-the art in this area. Still, there is a need to scale to larger environmental monitoring networks, and so an effort at improving the algorithmics/analytics is warranted. See the following paper and the references therein: Jon Lee. Maximum entropy sampling.

In A.H. El-Shaarawi and W.W.

Piegorsch, editors, “Encyclopedia of Environmetrics”, Second edition, pp. 1570-

1574. John Wiley & Sons Ltd, Chichester, UK, 2012.

Jon Lee is the G. Lawton and Louise G. Johnson Professor of Engineering at the

University of Michigan. He received his Ph.D. from Cornell University. Jon has previously been a faculty member at Yale University, the University of Kentucky, and

New York University. He was a Research Staff member at the IBM Watson Research

Center, where he managed the Mathematical Programming group. Jon is author of "A

First Course in Combinatorial Optimization" (Cambridge University Press) and "A First

Course in Linear Optimization" (Reex Press). He was the founding Managing Editor of

Discrete Optimization, and he is currently on the editorial boards of Mathematical

Programming (Series A and B), Optimization and Engineering, and Discrete Applied

Mathematics. Jon was Chair of the Executive Committee of the Mathematical

Optimization Society, and Chair of the INFORMS Optimization Society. He won the

INFORMS Computing Society Prize, and he is a Fellow of INFORMS.


Name


7 th



Andrew Jones, PhD

Assistant Professor

Department of Nutritional Sciences

School of Public Health

University of Michigan

Email address: jonesand@umich.edu

Group webpage:

https://sph.umich.edu/faculty-profiles/jonesandrew.html

photo

Email See above


(general)


See biography below

Developing innovative data collection, visualization, and/or analysis methods to assess the linkages between biodiversity (especially agricultural biodiversity) and human nutrition.

Biography

Andrew Jones is a public health nutritionist, interested in understanding the influence of agriculture and food systems on household food security, and the nutritional status of women and children in low-‐income countries. His research examines the extent and pathways via which agricultural livelihoods, biodiversity, and program or policy interventions into food systems impact food security, diet quality and nutrition outcomes in rural and peri-‐urban settings of low-‐income countries. He is particularly interested in understanding the role of agroecological environments and physical landscapes in modifying these dynamics across contexts. Andrew also examines the role of food systems and food insecurity in shaping the co-‐occurrence of undernutrition and obesity within regions, households, and individuals.

Andrew’s research combines quantitative survey methods, with dietary and anthropometric assessment approaches, collection of biologic biomarker data, and geospatial analyses. He pursues research questions both through observational epidemiological study designs, as well as through the evaluation of randomized interventions aimed at improving maternal and child nutrition, especially through agriculture and food systems-‐based approaches. Andrew has ongoing research projects in

India, West and Southern Africa, and throughout the Andean region of South America.



7 th



Data Fusion Research for Manufacturing Systems Improvement

Judy Jin

Professor and Richard C. Wilson Faculty Scholar

Department of Industrial and Operations Engineering

The University of Michigan

(Abstract)

Current data rich environment provides unprecedented opportunities and research challenges for improving our decision-‐making processes in both manufacturing and service industries. Efforts in data fusion research through advanced data analytics by integrating advanced statistics, machine learning, and decision making theory, represent one of the frontiers in the quality engineering research area. This talk will provide an overview of my data fusion research. The basic concepts in data fusion research will be introduced with the emphasis placed on promoting the integration of disparate methodologies into a cohesive entity to enable effective decision-‐making for complex manufacturing system design and operations. Examples on multistream sensing signal analysis will be discussed in detail to demonstrate the characteristics of data fusion research and to emphasize the need for multidisciplinary integration efforts.

--------------------------------------------------------------------------------------------------------

Short Bio for Professor Jionghua (Judy) Jin

Jionghua (Judy) Jin is currently a Professor and Richard C. Wilson Faculty Scholar in the Department of Industrial and Operations Engineering and the Director of

Manufacturing Engineering Program at the University of Michigan. She received her BS and MS in Mechanical Engineering at Southeast University, China, in 1984 and 1987, and her PhD in Industrial and Operations Engineering at the University of Michigan in

1999.

Dr. Jin’s research focuses on developing new data fusion methodologies with broad applications in both manufacturing and service industries. She has received numerous awards including the

Forging Achievement Award from Forging Industry Educational and Research Foundation in 2007, the NSF CAREER and PECASE Awards in 2002 and 2004, respectively, and nice Best Paper Awards since 2000, etc. She is currently a Departmental Editor for IIE Transactions. She was also the former Vice President of INFORMS-‐International Activities in 2010~2013 and the President of

Quality Control and Reliability Engineering Division in IIE in 2007~2008. She is a Fellow of IIE, a

Fellow of ASME, an elected senior member of ISI, a senior member of ASQ, and a member of IEEE,

INFORMS, and SME.

Name


7 th



Title + Department/ School/University:

Kirby Shedden, Professor of Statistics and Biostatistics, Director of

Consulting for Statistics, Computing and Analytics Research photo

Email address: kshedden@umich.edu

Group webpage:

cscar.research.umich.edu

Email kshedden@umich.edu


(general)

Consulting for data science, statistics for high dimensional and complex data, spatial statistics, time series, inference for large scale data, advanced computing for data management and analysis


Biography

I'm mainly interested in exploring opportunities for CSCAR staff, including myself, to collaborate with people participating in this initiative.



7 th



Name

Louis Yen, Associate Research Scientist, Health

Email address: louisyen@umich.edu

Group webpage:

https://hmrc.umich.edu/

Email louisyen@umich.edu


(general)

Biography

As a founding member and Associate Research Scientist at the Health Management

Research Center (HMRC), our group focuses on knowledge discovering and algorithms development of health and economic consequence of personal lifestyle choices and health risks through integrated data approach, including personal health risks, health enhance program participation, medical claims costs and individual productivity loss. To work with industrial partners in demand health management, our group has been a leader in health management research and decision support on workplace healthcare cost containment and productivity management in the US. Over the past 25 years, the HMRC has processed over 8 million Health Risk Appraisals for employers and health insurance providers and recruited over 30 employers representing over 1 million covered lives, such as General Motors, American Express, or J.P. Morgan Chase. Our corporate consortium members have become a partner with us in health management research. The major research achievements and pursues for me include:

1) Develop an integrated data system to evaluate and predict the health and financial impact of workplace health program and individual health changes;

2) Develop measurement and computing technologies to help organizations to make data-driven management decisions in health related policies and programs and help individual and family to learn the importance of healthy choices and available resources for their health promotion and disease management needs.


Develop an integrated managed care enrollment system to manage and evaluate the delivery of community-‐based health enhancement and medical services for both financial and health outcomes collaborated with community health centers in Shanghai, China.

As a founding member and Associate Research Scientist at the Health Management

Research Center (HMRC) in the School of Kinesiology at the U-M, Dr. Yen has estimated the personal health relational databases and developed predictive models for the Integrated

Health Management System. This system, which is used worldwide, has become an important tool to provide decision supports for various organizations in health care cost containment and productivity improvement for organizational and personal health management during the past 20 years. As a main architect, he develops a Health Risk

Appraisal (HRA) at the HMRC which has become a basic component of this system and provided millions of individuals on health information and practice guide. His research on the economic value of personal health and health management programs has been well


7 th


Topic: Data Sciences for Sustaining Critical Infrastructures for the Environment and Human Health recognized in both China and the United States through academic publications and conference presentations. As a main contributor, he developed Wellness Score for the

HRA, Trend Management Technology, Costs Estimator and Program Evaluator for healthcare and demand management. Currently, he is on the editorial boards for the

American Journal of Health Behavior and the Chinese Journal of Health Management and serves as a visiting professor for applied health at eight different universities in China.

During the past 15 years, he developed and directed numerous Chinese Executive Programs utilizing resources at the University of Michigan to train over 500 Chinese executives, researchers and teachers in education and health management. As an invited speaker, he has made over 40 presentations in China and Japan. He earned a Ph.D. in Movement

Science from the School of Kinesiology at the University of Michigan.



7 th



Name

Nancy G. Love

Professor, Department of Civil and Environmental Engineering

Group webpage: http://envbiotech.engin.umich.edu/

Email nglove@umich.edu


(general)

Dr. Love’s research focuses on methods and technologies to assess and advance environmental and human health using both biotechnology and systems analysis approaches that encompass experimental and modeling tools. She has expertise in evaluating the fate of chemicals, pathogens and contaminants of emerging concern in water, the use of technologies to sense and remove these entities, approaches to recover useful products from constituents in water, and computational skills associated with modeling bioprocesses and including applications with next generation sequencing. She has growing expertise in aspects of water quality and sciences applied in developing countries with an emphasis on Ethiopia.


I am interested in projects focused on: urban water systems, water reuse and resource recovery, the confluence of sanitation and health, trace environmental contaminants and the interplay between microbial processes and chemicals.

Biography

Dr. Nancy Love is a professor of Civil and Environmental Engineering at UM.

She served as chair of the department from January 2008 – August 2011, and

Associate Dean in the Rackham School of Graduate Studies at UM from 2011 through December 2012. Prior to 2008, Dr. Love was a faculty member in the

Departments of Civil and Environmental Engineering and Biological Sciences at Virginia Tech. She has B.S. and M.S. degrees in Civil Engineering from the

University of Illinois, a Ph.D. in Environmental Systems Engineering from

Clemson University, and is a licensed professional engineer (PE) in the state of

Michigan. After completing her M.S. degree, she worked as a process design engineer for approximately 3 years. Dr. Love has served or serves as major advisor for over 50 graduate students and numerous undergraduate students.

Her research collaborations have totaled over $17 million and resulted in 86 peer-‐reviewed journal articles and 250 book chapters, peer-‐reviewed research reports, and conference papers or abstracts. In 2011 she co-‐ authored the 3 rd edition of the textbook Biological Wastewater Treatment with Grady, Daigger and Filipe. Dr. Love has multiple awards (see resume) and recently served as the 2015-‐2016 Distinguished Lecturer for the Association of Environmental Engineering and Science Professors (video clips of talks available at https://www.aeesp.org/distinguished-‐lecturer).



7 th



Ming Xu

Assistant Professor

School of Natural Resources and Environment

Department of Civil and Environmental Engineering

Email address: mingxu@umich.edu

Group webpage:

www.mingxugroup.org

Email mingxu@umich.edu


(general)


Environmental implications of emerging technology and networked systems

Human mobility dynamics, travel trajectory data analysis, environmental implications of new mobility (e.g., electric vehicles, autonomous vehicles, ridesharing), agent-‐based modeling, network analysis

Biography

Ming Xu is an Assistant Professor in School of Natural Resources and

Environment and Department of Civil and Environmental Engineering at the

University of Michigan, Ann Arbor. He earned his BS and MS from Tsinghua

University, China, and PhD from Arizona State University, all in environmental engineering. His research focuses on systems-‐based evaluation of environmental implications of emerging technology and networked systems. At the University of Michigan, he co-‐directs the Graduate Certificate Program in

Industrial Ecology and serves on the Advisory Committee of the University of

Michigan Transportation Research Institute (UMTRI). He is the Editor-‐In-‐Chief of

Resources, Conservation & Recycling

. He was awarded the Robert A. Laudise

Medal from International Society for Industrial Ecology for “outstanding achievement in industrial ecology by a researcher under the age of 36” in 2015.

He received the National Science Foundation Faculty Early Career Development

(CAREER) Award in 2016.


Name


7 th



Title + Department/ School/University

Mihai Burzo

Assistant Professor, Mechanical Engineering


Rada Mihalcea

Professor, Electrical Engineering and Computer Science


Mohamed Abouelenien

Postdoctoral Research Fellow, Electrical Engineering and Computer Science


Email address: mihalcea@umich.edu

mburzo@umich.edu

zmohamed@umich.edu

Group webpage: http://lit.eecs.umich.edu

photo

Email mburzo@umich.edu, mihalcea@umich.edu, zmohamed@umich.edu


(general)


Natural language processing, multimodal processing, tracking and understanding of human behaviors. Current projects: tracking of values and behaviors across cultures, multimodal deception detection, geolocation of text, NLP for motivational interviewing

Multimodal tracking of stress

Multimodal tracking of counselor behavior in counseling sessions

Biography http://lit.eecs.umich.edu/research/publications/ http://web.eecs.umich.edu/~zmohamed/publications.html



7 th



Name

Paul Drevnick, Assistant Research Scientist, University of Michigan,

Biological Station and School of Natural Resources and Environment

Email address: drevnick@umich.edu

Group webpage: http://www.snre.umich.edu/profile/paul_drevnick photo

Email drevnick@umich.edu


(general)

Research interests for seed program environmental chemistry and toxicology development of technology for continuous measurement of (low-‐level) mercury (Hg) in precipitation, surface water, groundwater

Biography

I seek to understand the physical, chemical, and biological responses of aquatic systems to environmental perturbations, such as watershed disturbance, air pollution, and climate change. My research is problem oriented, hypothesis driven, and strongly empirical, with the ultimate goal of providing data and interpretation to resource managers and policy makers so informed decisions can be made about our water resources.


Name


7 th



Professor Peter Song

Department of Biostatistics

School of Public Health


Email address: pxsong@umich.edu

Group webpage: photo

Email pxsong@umich.edu


(general)


Biography

Data harmonization, data integration, high-dimensional data, regression analysis in Big

Data, spatio-temporal data analysis

Applications in Environmental Health Sciences and Nutritional Sciences

Spatio-‐temporal modelling of chronic disease data harmonization across multiple cohort studies

Environmental exposure data analysis

Peter Song is a Professor of Biostatistics at the Department of Biostatistics, School of

Public Health, University of Michigan. He received his PhD in Statistics from the

University of British Columbia in 1996. Prior to the appointment at the University of

Michigan, he was a faculty member at the Department of Statistics and Actuarial Science,

University of Waterloo (2004-2007) and a faculty member at the Department of

Mathematics and Statistics, York University, Toronto (1996-2004). Peter Song's research interests include data harmonization, data integration, high-dimensional data, meta analysis, regression analysis in Big Data, and spatio-temporal data analysis. He is interested in methodological developments related to modelling, statistical inference and applications in biomedical sciences. In particular, Dr. Song's research projects are strongly motivated from real world data analysis and have published over 100 articles in the top-tier statistical and substantive science journals. In 2007 he published a monograph "Correlated Data

Analysis: Modeling, Analytics and Applications" by Springer. His research has been funded by multiple NIH and NSF grants.


Name


7 th



Allison Steiner

Associate Professor

Climate and Space Sciences and Engineering (College of

Engineering) and Earth and Environmental Sciences (LSA)

Email address: alsteine@umich.edu

Group webpage: research.engin.umich.edu/faculty/steiner/ http://clasp-

Email alsteine@umich.edu


(general)


Atmospheric chemistry, regional climate, biosphere-atmosphere interactions, trace gas emissions

Air quality, climate data and applications, pollen and health, lightweight sensors for environmental monitoring

Biography

Allison Steiner is an associate professor of atmospheric sciences in the Department of

Atmospheric Oceanic and Space Sciences and the Department of Earth and Environmental

Sciences at the University of Michigan. Allison creates state-‐of-‐the-‐art models to explore the complex interactions of the biosphere and atmosphere with the goal of understanding the natural versus human influence on climate and atmospheric chemistry. She also works on synthesizing atmospheric chemistry and climate data to provide input to interdisciplinary projects that investigate how climate change will affect a broad variety of

societal problems.

After earning a B.S. degree in chemical engineering from Johns Hopkins University and

Ph.D. in atmospheric science from Georgia Institute of Technology, Professor Steiner worked as a research fellow at the University of California, Berkeley, prior to joining U-‐M in 2006. Dr. Steiner is the recipient of a National Science Foundation CAREER grant award

(2010-‐2015), the UM Henry Russel Award (2013), and the American Geophysical Union

Atmospheric Sciences Ascent award (2015). She is currently editor for Journal of

Geophysical Research-‐Atmospheres , and serving on the National Research Council’s committee on the Future of Atmospheric Chemistry Research.



7 th



Name

Wencong Su, Ph.D.

Assistant Professor

Department of Electrical and Computer Engineering

University of Michigan-Dearborn

Email: wencong@umich.edu

Group webpage: www.SuWencong.com

Office: 313-593-5314

Email wencong@umich.edu


(general)


Power and energy systems, energy internet, electrified transportation systems, automated and connected vehicles, and cyber-physical systems. reliable electricity clean air and water

Biography

Dr. Wencong Su received his B.S. degree (with distinction) from Clarkson University,

Potsdam, NY, USA, in May 2008, his M.S. degree from Virginia Tech, Blacksburg, VA,

USA, in December 2009, and his Ph.D. degree from North Carolina State University,

Raleigh, NC, USA, in August 2013, respectively. All in electrical and computer engineering. Dr. Wencong Su is an Assistant Professor in the Department of Electrical and

Computer Engineering at the University of Michigan-Dearborn, USA, since September

2013. He worked as a Research Aide at Argonne National Laboratory in IL, USA, from

January to August 2012. He also worked as a R&D engineer intern at ABB U.S. Corporate

Research Center in NC, USA, from May to August 2009. His current research interests include power and energy systems, energy internet, electrified transportation systems, automated and connected vehicles, and cyber-physical systems.

Group webpage: www.SuWencong.com


Name


7 th



Chuanwu (Wu) Xi, Ph.D.

Associate Professor

Department of Environmental Health Sciences

University of Michigan School of Public Health

Email address: cxi@umich.edu

Group webpage: https://sph.umich.edu/faculty- profiles/xi-chuanwu.html

Email cxi@umich.edu


(general)

Dr. Xi is a molecular microbiologist and microbial ecologist. His research focuses on biofilms, water quality and treatment and human health in three major interrelated areas: (A) molecular mechanisms of biofilm development;; (B) characterization of biofilms and microbial community in industrial and clinical settings and its impact on human health;; and (C) development of novel approaches for biofilm control.


Biography

Real-‐time and onsite monitor microbiological and chemical water quality and alert system using a cloud database.

https://sph.umich.edu/faculty-profiles/xi-chuanwu.html



7 th



Name

Xiang Zhou, PhD

Assistant Professor, Department of Biostatistics

School of Public Health, University of Michigan

Email address: xzhousph@umich.edu

Group webpage: www.xzlab.org

Email xzhousph@umich.edu


(general)

Our group is interested in developing statistical and computational methods to address interesting biological questions in genetic and genomic studies. These studies often involve large-‐scale and high-‐dimensional data sets, and examples include genome-‐wide association studies and functional genomics sequencing studies. We are developing novel analytical tools to extract important information from these data, with the hope to advance our understanding of the genetic basis of phenotypic variation for various quantitative traits and complex diseases.


Develop and apply statistical and machine learning methods to perform analysis and interpretation of data collected from biology, healthcare and other related fields.

Biography

09/2000-06/2004 B.S., Department of Biology, Peking University, Beijing, China

08/2004-05/2009 M.S., Department of Statistics, Duke University, Durham, NC

08/2004-09/2010 Ph.D., Department of Neurobiology, Duke University, Durham, NC

10/2010-09/2013 Postdoc, Department of Human Genetics, University of Chicago,

Chicago, IL

09/2013-06/2014 William H. Kruskal Instructor, Department of Statistics, University of Chicago, Chicago, IL

07/2014-Now Assistant Professor, Department of Biostatistics, University of

Michigan, Ann Arbor, MI



7 th



Name:

Yan Chen

Daniel Kahneman Collegiate Professor of Information,

School of Information, University of Michigan

Email address: yanchen@umich.edu

Group

http://yanchen.people.si.umich.edu/

webpage:

Email yanchen@umich.edu


(general)


Behavioral and experimental economics, information economics

Professor Ming Jiang at Shanghai Jiao Tong University and I have been collaborating on the topic of health and economic decisions. We hope to receive seed funding from this program.

Biography

Chen’s research focuses on mechanism design and experimental economics. The fundamental challenge Chen addresses in her research is the design of robust mechanisms when the agents involved are not perfectly rational. In meeting this challenge, she applies experimental, computational, and theoretical approaches to incorporate dynamic learning theories from economics and cognitive psychology into the static mechanism design framework.

In other work she synthesizes economic and social psychology theories to understand the effects of social identity in economic decision making, and to develop approaches to increasing member contributions in online communities. She also investigates efficient and fair mechanisms for allocating indivisible resources.

Chen has published in leading economic journals, such as the American Economic Review,

Journal of Political Economy, Journal of Economic Theory, Journal of Public Economics, and

Games and Economic Behavior . She has also published in prestigious conference proceedings in computer science, such as CHI and WSDM .

Chen’s research is funded by the National Science Foundation. She serves as an associate editor of Management Science, an advisory editor of Games and Economic Behavior , and an associate editor of Experimental Economics . She is the President of the Economic

Science Association.



7 th



Yanfeng

Shen

Title + Department/ School/University:

Assistant Professor, UM-SJTU Joint Institute, Shanghai Jiao

Tong University

Email address: yanfengs@umich.edu

Group webpage:

Email yanfengs@umich.edu


(general)


Structural Health Monitoring; Modeling and Simulation; Smart Structures

Structural health monitoring using active sensing data and numerical simulation library for sustainable wind energy infrastructures

Biography

Dr. Yanfeng Shen received his B.Sc. in Engineering Mechanics from Wuhan

University, Hubei, China in 2010. He obtained his Ph.D. degree in Mechanical

Engineering from University of South Carolina, Columbia, USA in 2014. Then, he was recruited by the University of Michigan and became a Postdoctoral Research

Fellow in the Department of Aerospace Engineering. Dr. Shen just started as an

Assistant Professor of Mechanical Engineering at University of Michigan-‐

Shanghai Jiao Tong University Joint Institute in 2016. His research interest covers structural health monitoring, guided waves, nonlinear ultrasonics, active materials and smart structures, and advanced computational mechanics. He was absorbed by the Nondestructive Structural Monitoring and Diagnosis Technical

Committee under ASME and became the youngest member on the committee.



7 th



Name

Bochen Jia Ph.D.

Assistant Professor

Department of Industrial and Manufacturing Systems

University of Michigan – Dearborn

Group webpage:

Email bochenj@umich.edu


(general)


Connected and Automated Driving and Road Sharing, Work-related Musculoskeletal

Disorders, Occupational Ergonomics, Worker Rehabilitation,

Pedestrian Motion analysis and pre-collision detection, Driver Behavior during Prolonged

Automated Driving

Biography

Bochen Jia received a B.S. and a M.S. degree in Engineering Mechanics from Beijing

Institute of Technology, P.R. China. Later he received a M.S. and a Ph.D. degree from the department of Industrial and System Engineering at Virginia Tech with a focus on Human

Factor and Ergonomics.

His current research interests focus on quantitative assessment of ergonomic exposures to a broad range of working conditions, such as, driving, office working, and manufacturing environment, etc. Specifically, his current research mainly focuses on understanding driver behaviors during connected and automated driving as well as the interaction between drivers, vehicle, and other vulnerable road users, such as pedestrians, etc. His recent work has also involved quantifying and modeling the effects of prolonged sitting and psychosocial task demands on human musculoskeletal system among sedentary population.

He also has experiences related to workers’ safety in construction, and the product design

& evaluation in manufacturing environment.


Group webpage: http://web.eecs.umich.edu/~hero/

http://web.eecs.umich.edu/~hero/

personal.umich.edu/~danbrown/ http://esa.snre.umich.edu/ http://www-

http://najarianlab.ccmb.med.umich.edu/

https://sph.umich.edu/facultyprofiles/adar-sara.html

http://www-personal.engin.umd.umich.edu/~xwd/

http://clacklab.engin.umich.edu/

https://sites.google.com/site/jonleewebpage/

https://sph.umich.edu/faculty-profiles/jonesandrew.html

cscar.research.umich.edu

https://hmrc.umich.edu/

Nancy G. Love

www.mingxugroup.org

Resources, Conservation & Recycling

Chuanwu (Wu) Xi, Ph.D.

Associate Professor

Department of Environmental Health Sciences

University of Michigan School of Public Health

Email address: cxi@umich.edu

Group webpage: https://sph.umich.edu/faculty- profiles/xi-chuanwu.html

https://sph.umich.edu/faculty-profiles/xi-chuanwu.html

http://yanchen.people.si.umich.edu/

Related documents

Products

Support

Group webpage: http://web.eecs.umich.edu/~hero/

http://web.eecs.umich.edu/~hero/

personal.umich.edu/~danbrown/ http://esa.snre.umich.edu/ http://www-

http://najarianlab.ccmb.med.umich.edu/

https://sph.umich.edu/facultyprofiles/adar-sara.html

http://www-personal.engin.umd.umich.edu/~xwd/

http://clacklab.engin.umich.edu/

https://sites.google.com/site/jonleewebpage/

https://sph.umich.edu/faculty-profiles/jonesandrew.html

cscar.research.umich.edu

https://hmrc.umich.edu/

Nancy G. Love

www.mingxugroup.org

Resources, Conservation & Recycling

Chuanwu (Wu) Xi, Ph.D.

Associate Professor

Department of Environmental Health Sciences

University of Michigan School of Public Health

Email address: cxi@umich.edu

Group webpage: https://sph.umich.edu/faculty-­ profiles/xi-­chuanwu.html

https://sph.umich.edu/faculty-­profiles/xi-­chuanwu.html

http://yanchen.people.si.umich.edu/

Related documents

Add this document to collection(s)

Add this document to saved

Suggest us how to improve StudyLib

Group webpage: https://sph.umich.edu/faculty- profiles/xi-chuanwu.html

https://sph.umich.edu/faculty-profiles/xi-chuanwu.html