2013 Events

RDI2 Open House 2013

 

Speakers: See schedule below
Date: Friday, October 4, 2013
Time: 9 AM - 1 PM
Location: CoRE Auditorium, located on the 1st floor of the CoRE Building, Busch Campus

The Rutgers Discovery Informatics Institute (RDI2) invites you to join us for our first open house to learn about who we are, what we do, and how we can help you with your computational research.

  • Learn about Excalibur, an IBM Blue Gene /P supercomputer maintained by RDI2 and available to the entire Rutgers Community.
  • Hear from researchers who have used Excalibur in the past year.
  • Discover how other researchers have benefitted from collaborations with RDI2 (faster algorithms, etc.)

Please join us at 9am for coffee and light snacks, and stick around from noon to 1pm for pizza, refreshments, and to meet the RDI2 researchers and staff, and network with other computational researchers here at Rutgers.

Registration is required for this event. Please register here

 

Agenda
Time Speaker Title
9:00 - 9:30   Registration and morning refreshments
9:30 - 9:45 Manish Parashar Welcome and Introduction to RDI2
9:45 - 10:00 Prentice Bisbal Why HPC matters, and why you should be using it
Session I : Using Excalibur, the IBM Blue Gene/P
10:00 - 10:15 Steven Decker Using Excalibur to Generate Large Eddy Simulations in Support of the TCAP Campaign
10:15 - 10:30 Ying Ma Novel cathode materials for lithium ion batteries: computational materials science on Excalibur
10:30 - 11:00 Prentice Bisbal Introduction to Excalibur
Session II: RDI2 Collaborations
11:00 - 11:15 Jaroslaw Zola Tapping into the HPC and Algorithmic Expertise of RDI2
11:15 - 11:30 Javier Diaz Making Clouds Work for Science and Engineering
11:30 - 11:45 Hoang Bui In-memory Data Staging with DataSpaces
11:45 - 12:00 RDI2 Staff Question and Answer
12:00 - 1:00   Pizza lunch and networking

 

Summit on Big Data Analytics

Speakers: Colgate-Palmolive, IBM, Rutgers Business School
Date: Friday, September 20, 2013
Time: 9 AM - 2 PM
Location: Rutgers-Busch Campus Center, Multi Purpose Room

The Rutgers Center for Supply Chain Management at Rutgers Business School presents a Summit on Big Data Analytics.

The size, variety, and growth of organizational data continue to increase at rates never seen before.  Today’s supply chain managers need to understand the value of big data analytics to address organizational needs and promote high-quality business decisions.  This event will feature presentations from leaders who have successfully managed the many aspects of big data.  We look forward to seeing you at the summit.

Remember to register ahead of time!

 

Modern Visual Analytics Research - a Lecture by Dr. Georges Grinstein

Speaker: Dr. Georges Grinstein
Date: Monday, September 16 2013
Time: 6pm
Location: CoRE Auditorium, 1st floor

In this talk, Dr. Grinstein will set the background for understanding the key problems in information visualization and visual analytics, and present a few research topics he has worked on over the last 20 years to address these problems. The problems include enhancing data perception, visualizing millions of variables, evaluating insight, and visualization for the masses.

 

RDI2 Distinguished Seminar: Discovering Yourself with Computational Bioinformatics

Speaker: Dr. Larry Smarr

Date: May 9th, 2013
Time: 2pm
Location: CoRE 701
*Refreshments will be served*

Abstract

For over a decade, Calit2 has had a driving vision that healthcare is being transformed into “digitally enabled genomic medicine.” Combined with advances in nanotechnology and MEMS, a new generation of body sensors is rapidly developing. As these real-time data streams are stored in the cloud, cross population comparisons becomes increasingly possible and the availability of biofeedback leads to behavior change toward wellness. To put a more personal face on the "patient of the future," I have been increasingly quantifying my own body over the last ten years. In addition to external markers I also currently track over 100 blood biomarkers and dozens of molecular and microbial variables in my stool. Using my saliva 23andme.com obtained 1 million single nucleotide polymorphisms (SNPs) in my human DNA. My gut microbiome has been metagenomically sequenced by the J. Craig Venter Institute, yielding 25 billion DNA bases. I will show how one can discover emerging disease states before they develop serious symptoms using this Big Data approach. Hundreds of thousands of supercomputer CPU-hours were used in this voyage of self-discovery.

About Dr. Larry Smarr

Larry Smarr is the founding Director of the California Institute for Telecommunications and Information Technology (Calit2), a UC San Diego/UC Irvine partnership, and holds the Harry E. Gruber professorship in the Department of Computer Science and Engineering (CSE) of UCSD’s Jacobs School of Engineering.  He is a member of the national Academy of Engineering as well as a Fellow of the American Physical Society and the American Academy of Arts and Sciences.  In 2006 he received the IEEE Computer Society Tsutomu Kanai Award for his lifetime achievements in distributed computing systems.  He serves on the NASA Advisory Council to the NASA Administrator, the DOE ESnet Policy Board, and chairs the NSF Advisory Committee on Cyberinfrastructure.  For eight years he was a member of the NIH Advisory Committee to the NIH Director, serving 3 directors.  For the last 7 years he has been the PI of the Moore Foundation CAMERA global microbial metagenomics computational repository.

His personal interests include growing orchids, snorkeling coral reefs, and quantifying the state of his body.  You can follow him on his life-streaming portal at http://lsmarr.calit2.net.

 

RDI2 Distinguished Seminar: "Systems Software Challenges in Integrative Multi-Scale Analyses"

Speaker: Dr. Joel Saltz
Date: February 28th, 2013
Time: 2pm
Location: CoRE 701
*Refreshments will be served*

Abstract:

Integrative analyses of large scale spatio-temporal datasets play increasingly important roles in many areas of science and engineering. Our recent work in this area is motivated by application scenarios involving complementary digital microscopy, Radiology and "omic" analyses in cancer research. In these scenarios, our objective is to use a coordinated set of image analysis, feature extraction and machine learning methods to predict disease progression and to aid in targeting new therapies.

We describe methods we have developed for extraction, management and analysis of features along with the systems software methods for optimizing execution on high end CPU/GPU platforms. We will also describe biomedical results obtained from these studies and extensions of the computational methods to broader application areas.

About Dr. Joel Saltz:

Dr. Saltz is Director of the Center for Comprehensive Informatics, Professor and Chair of Biomedical Informatics at Emory University. He is an endowed Georgia Research Alliance Eminent Scholar in biomedical informatics and Georgia Cancer Coalition Distinguished Cancer Scholar. He has held faculty positions at Yale, University of Maryland College Park and Johns Hopkins and Ohio State. Prior to coming to Emory, he was founding Department Chair of Biomedical Informatics at Ohio State University. He has a Computer Science MH-PhD from Duke and is a board certified Clinical Pathologist.

 

RDI2 Distinguished Seminar: "The Fourth Paradigm: Data-Intensive Scientific Discovery"

Speaker:  Dr. Tony Hey
Date:  February 18th, 2013
Time: 2pm
Location:  CoRE 701
*Refreshments will be served*

Abstract:

There is broad recognition within the scientific community that the emerging data deluge will fundamentally alter disciplines in areas throughout academic research. A wide variety of scientists-biologists, chemists, physicists, astronomers, engineers - will require tools, technologies, and platforms that seamlessly integrate into standard scientific methodologies and processes. "The Fourth Paradigm" refers to the data management techniques and the computational systems needed to manipulate, visualize, and manage large amounts of scientific data. This talk will illustrate the challenges researchers will face, the opportunities these changes will afford, and the resulting implications for data-intensive researchers.

About Dr. Tony Hey

As Vice President of Microsoft Research, Tony Hey is responsible for worldwide university research collaborations with Microsoft researchers. Hey is also responsible for the multidisciplinary eScience Research Group within Microsoft Research. Prior to joining Microsoft, Hey served as director of the U.K.'s e-Science Initiative, managing the government's efforts to build a new scientific infrastructure for collaborative, multidisciplinary, data-intensive research projects. Before leading this initiative, Hey led a research group in the area of parallel computing and was Head of the School of Electronics and Computer Science, and Dean of Engineering and Applied Science at the University of Southampton.

Hey is a fellow of the U.K.'s Royal Academy of Engineering and was awarded a CBE for services to science in 2005. He is also a fellow of the British Computer Society, the Institute of Engineering and Technology, the Institute of Physics, and the U.S. American Association for the Advancement of Science (AAAS). Tony Hey has written books on particle physics and computing and has a passionate interest in communicating the excitement of science and technology to young people. He has co-authored "popular" books on quantum mechanics and on relativity.

 

RDI2 Distinguished Seminar: "Computational Environment for Multiscale Multiphysics Subsurface Energy and Environmental Problems"

Speaker:  Dr. Mary Wheeler
Date: Monday, January 28th, 2013
Time: 2pm - 3:30pm
Location: Computing Research and Education (CoRE) Building, Room 701
*Refreshments will be served*

Abstract

In this seminar, Dr. Wheeler will describe a computational framework for modeling multiscale multiphysics applications for subsurface applications in porous media. A major application is carbon sequestration in saline aquifers, Geologic sequestration is a proven means of permanent CO2 greenhouse gas storage, but it is difficult to design and manage such efforts. Predictive computational simulation may be the only means to account for the lack of complete characterization of the subsurface environment, the multiple scales of the various interacting processes, the large areal extent of saline aquifers, and the need for long time predictions ' Discretization, history matching, and parallel software implementation issues are discussed.

About Dr. Mary Wheeler

Mary Fanett Wheeler is a world-renowned expert in computational science. She has been a member of the faculty at The University of Texas at Austin since 1995 and holds the Ernest and Virginia Cockrell Chair in the departments of Aerospace Engineering and Engineering Mechanics, and Petroleum and Geosystems Engineering. She is also director of the Center for Subsurface Modeling at the Institute for Computational Engineering and Sciences (ICES). Before joining the faculty at UT Austin, Dr. Wheeler was the Noah Harding Professor in engineering at Rice University in Houston, Texas, and was in fact the first tenured female associate and full professor.

Dr. Wheeler's research group employs computer simulations to model the behavior of fluids in geological formations. Her particular research interests include numerical solution of partial differential systems with application to the modeling of subsurface flows and parallel computation. Applications of her research include multiphase flow and geomechanics in reservoir engineering, contaminant transport in groundwater, sequestration of carbon in geological formations, and angiogenesis in biomedical engineering. Dr. Wheeler has published more than 300 technical papers and edited seven books; she is currently an editor of seven technical journals.

It should be noted that Dr. Wheeler co-authored the first papers on modeling flow and transport in porous media using discontinuous Galerkin (DG )and/or mixed finite element methods, as well as co-authored two papers (one with Tom Russell and one with Alan Weiser) demonstrating the first proofs on convergence of cell-centered finite differences on non-uniform mesh.

Dr. Wheeler is a member of the Society of Industrial and Applied Mathematics and, the Society of Petroleum Engineers She is a Fellow of the International Association for Computational Mechanics, and is a certified Professional Engineer in the State of Texas. She was co-organizer of the SIAM Activity Group in the Geosciences, and alongside Dr. Hans van Duijn, started the Journal on Computational Geosciences.

Dr. Wheeler served has served on numerous committees for the National Science Foundation and the Department of Energy. For the past seven years she was the university lead in the Department of Defense User Productivity Enhancement and Technology Transfer Program (PET) in environmental quality modeling. Dr. Wheeler has served on the Board of Governors for Argonne National Laboratory and on the Advisory Committee for Pacific Northwest National Laboratory. In 1998, Dr. Wheeler was elected to the National Academy of Engineering. In 2006, she received an honorary doctorate from Technische Universiteit Eindhoven in the Netherlands. In 2008, she received an honorary doctorate from the Colorado School of Mines. In 2009, Dr. Wheeler was honored with the SIAM Geosciences Career Prize, selected a SIAM Fellow, and received her third IBM Faculty Award. That same year, she was awarded the Theodore von Kármán prize at the SIAM national meeting, recognizing her seminal research in numerical methods for partial differential equations, her leadership in the field of scientific computation and service to the scientific community, and for her pioneering work in the application of computational methods to the engineering sciences, most notably in geosciences. In 2010, she was elected to the American Academy of Arts and Sciences. In 2011, she received a Humboldt award.

 

RDI2 Distinguished Seminar: "Maximizing the Innovation Potential of Research Data"

Speaker:  Dr. Francine Berman
Date:  Thursday, January 24th, 2013
Time:  2pm - 3:30pm
Location:  Computing Research and Education (CoRE) Building, Room 701
*Refreshments will be served*

Abstract

The ubiquitous availability of digital information in the 21st century has transformed the world as we know it, impacting nearly every area of modern life. Nowhere is this more apparent than in the research community. Today, analysis and modeling of digital information has joined theory and experiment to drive new discovery for increasingly complex problems. At the same time, the research community is challenged to provide the stewardship, economic support, and community oversight necessary to support the research data most critical for success. In this talk, computer scientist Fran Berman discusses the opportunities and challenges for the stewardship and support of the digital data needed to drive research and innovation in today’s world.

About Dr. Francine Berman

Dr. Berman is the Hamilton Distinguished Professor in Computer Science at Rensselaer Polytechnic Institute. She is a Fellow of the Association of Computing Machinery (ACM) and a Fellow of the IEEE. In 2009, Dr. Berman was the inaugural recipient of the ACM/IEEE-CS Ken Kennedy Award for “influential leadership in the design, development, and deployment of national-scale cyberinfrastructure.”

Dr. Berman has served on a broad spectrum of national and international leadership groups and committees including the National Science Foundation's Engineering Advisory Committee, the National Institutes of Health's NIGMS Advisory Committee, the Anita Borg Institute for Women and Technology Board of Trustees, the National Academy of Sciences Board on Research Data and Information, the U.S. President's Council of Advisors on Science and Technology (PCAST) Networking and Information Technology Research and Development (NITRD) Review Working Group, and others. Dr. Berman was recognized by the Library of Congress as a “Digital Preservation Pioneer,” as one of the top women in technology by Business Week and Newsweek, and as one of the top technologists by IEEE Spectrum.

 

RDI2 Seminar: "Accelerating Scientific Knowledge Discovery in DOE Science"

Speaker:  Dr. Scott Klasky
Date:  January 23, 2013 
Time:  11:00am - 12:30pm
Location:  CoRE 701
*Refreshments will be served*

Abstract

DOE manages the world’s largest collection of unique scientific user facilities for open science research. Science is often hampered by the time and effort users spend in finding, processing, organizing, moving, and sharing information in their collaborative environment. As DOE science moves forward into the exascale-era, the scientific discovery process will continue to become more difficult, due to the increasing complexities of their collaboration. The primitive state of the computer science tools in this area makes establishing, evolving, and managing information in these complex collaborations very challenging. For today’s scientists this is a serious impediment to the realization of their scientific goals. In this talk Dr. Klasky will focus on ADIOS, an open source data management framework.

About Dr. Klasky

Scott A. Klasky is the group leader for Scientific Data in the Computer Science and Mathematics Research Division at the Oak Ridge National Laboratory. He holds a Ph.D. in Physics from the University of Texas at Austin (1994), under Prof. Richard Matzner. Dr. Klasky has previously worked at the University of Texas at Austin, Syracuse University, and the Princeton Plasma Physics Laboratory. Dr. Klasky is a world expert in scientific computing and scientific data management, co-authoring over 150 papers.