Workshop Schedule

Invited Speakers



ICHI 2015

HI-KDD 2014

SHB 2012

HI-KDD 2012

ACM TMIS Special Issue

Workshop Deadlines

Submission date for papers:

August 7, 2015

Author notification:

August 20,2015

Submission of camera-ready papers:

August 24, 2015

Invited Speakers

Current trends in NIGMS/NIH funding opportunities

Veerasamy "Ravi" Ravichandran, Ph.D.
Program Director
Biomedical Technology, Bioinformatics and Computational Biology Division
National Institute of General Medical Sciences
National Institutes of Health


Veerasamy "Ravi" Ravichandran is with the Biomedical Technology, Bioinformatics, and Computational Biology (BBCB) division of NIGMS, NIH. The BBCB division supports the development, use and dissemination of computational tools, sophisticated quantitative approaches and unique experimental technologies to enable studies of biological, behavioral and social systems that underlie health and disease; the creation of innovative methods to store, organize, share, visualize, integrate and analyze vast quantities of biological data; and training opportunities in the quantitative and data sciences to prepare the next generation of biomedical researchers. In his presentation, Ravi will be talking about the current trends in NIH, particularly the NIGMS funding opportunities. This presentation is intended to be informal and preferred to have an interactive discussion with the audience.

Biographical sketch: http://www.nigms.nih.gov/About/Pages/ravi.aspx

Biomedical Big Data Analytics for Outcome-Driven Precision Health

Rapid advancements in biotechnologies such as –omic (genomics, proteomics, metabolomics, lipidomics etc.), next generation sequencing, bio-nanotechnologies, molecular imaging, and mobile sensors etc. accelerate the data explosion in biomedicine and health wellness. Multiple nations around the world have been seeking novel effective ways to make sense of “big data” for evidence-based, outcome-driven, and affordable 5P (Patient-centric, Predictive, Preventive, Personalized, and Precise) healthcare. My team has been conducting multi-modal and multi-scale (i.e. molecular, cellular, whole body, individual, and population) biomedical data analytics research for discovery, development, and delivery.

First, I will highlight major challenges in biomedical & health informatics pipeline consisting of data quality control, information feature extraction, advanced knowledge modeling, decision making, and proper action taking through feedback. Second, I will present Electronic Health Record data analytics such as data quality control and mining; and the path towards integrating genomics into EHR to achieve precision health. Last, there is big shortage of data scientists and engineers who are capable of handling Big Data to meet the need of healthcare stakeholders (i.e. patients, physicians, payers, and hospitals). I will discuss efforts such as patient-centric educational intervention, community-based crowd sourcing, and Biomedical Data Analytics MOOC development.

Our research has been supported by NIH, NSF, Georgia Research Alliance, Georgia Cancer Coalition, Emory-Georgia Tech Cancer Nanotechnology Center, Children’s Health Care of Atlanta, Atlanta Clinical and Translational Science Institute, USA Centers for Disease Control and Prevention (CDC), and industrial partners such as Microsoft Research and HP.

May D. Wang, Ph.D. is an Associate Professor in the Joint Department of Biomedical Engineering of Georgia Tech and Emory, School of Electrical and Computer Engineering of Georgia Tech, a Kavli Fellow, a Georgia Research Alliance Distinguished Cancer Scholar, and a Fellow of The American Institute for Biological and Medical Engineering (AIMBE). Professor Wang serves as Co-Director of Biomedical Informatics Program of Georgia Tech in Atlanta Clinical and Translational Science Institute (ACTSI), Co-Director of Georgia-Tech Center of Bio-Imaging Mass Spectrometry, and Biocomputing and Bioinformatics Core Director in Emory-Georgia-Tech Cancer Nanotechnology Center. She is also with Emory Winship Institute, Georgia Tech IBB and and IPaT.

Dr. Wang’s research focus is Biomedical Big Data Analytics, with a focus on Biomedical and Health Informatics (BHI) for Personalized and Predictive Health. Specifically, she works on high throughput NGS and -omic data mining to identify clinical biomarkers, bionanoinformatics, pathological imaging informatics to assist clinical diagnosis, critical and chronic care health informatics for evidence-based decision making, and predictive systems modeling to improve health outcome. She is the corresponding/co-corresponding author for articles published in Journal of American Medical Informatics Association (JAMIA), Journal of Biomedical and Health Informatics (JBHI), IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Briefings in Bioinformatics, BMC Bioinformatics, Journal of Pathology Informatics, Proceedings of The IEEE, IEEE Transactions on Information Technology in Biomedicine (TITB), Proceedings of National Academy of Sciences (PNAS), Annual Review of Medicine, Nature Protocols, Circulation Genetics, Nanomedicine, BMC Medical Imaging, Annals of BME (ABME), and Trends in Biotechnology etc. She has led RNA-data analysis investigation within FDA-led Sequencing Consortium (SEQC) of MAQC-III.

Currently, Prof. Wang serves as the Senior Editor for IEEE Journal of Biomedical and Health Informatics (J-BHI), an Associate Editor for IEEE Transactions on Biomedical Engineering (TBME), an Emerging Area Editor for Proceedings of National Academy of Science (PNAS), and IEEE EMBS Biomedical and Health Informatics Technical Committee Chair. She has devoted to the training of young generation of data scientists and engineers, and is a recipient of Georgia-Tech’s Outstanding Faculty Mentor for Undergraduate Research.