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    Rensselaer Polytechnic Institute
   
 
  Oct 22, 2017
 
 
    
Rensselaer Catalog 2014-2015 [Archived Catalog]

Research Resources and Centers


Click on a link to be taken to the entry below.

Research plays an integral role in Rensselaer’s vision of the technological university. The discovery and application of new scientific concepts and technologies, especially in emerging interdisciplinary fields, are core goals for faculty, staff, and students. Rensselaer’s research programs reach across the campus, linking departments, schools, interdisciplinary centers, and unique platforms such as the Curtis R. Priem Experimental Media and Performing Arts Center, the Computational Center for Nanotechnology Innovations, and the Center for Biotechnology and Interdisciplinary Studies. This fertile research environment creates opportunities for the integration of research and education, the development of entrepreneurship, and experiences with collaborators from a broad range of academic, private, national, and international institutions.

The Office of the Vice President for Research works closely with faculty to foster high-impact research to address today’s and tomorrow’s challenges in science, engineering, technology, and society. The Office oversees a “research ecosystem” that supports faculty and student innovation, facilitates interdisciplinary synergistic work in Rensselaer centers, and coordinates major research themes and programs.

Notice Regarding Intellectual Property All members of the Rensselaer community, including, but not limited to, graduate and undergraduate students, faculty, staff, administration, visiting scholars and scientists, and guests, are bound by the Rensselaer intellectual property policy. Go to: http://rpitechnology.com/files/ip_policy.pdf. For additional information about intellectual property at Rensselaer, refer to http://www.eship.rpi.edu/intellectual_property.php.


Center for Architecture Science and Ecology (CASE)

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Director: Anna Dyson, Professor, School of Architecture

Director for Business Development: Jason Vollen, RA

CASE Home Page: www.case.rpi.edu

The Center for Architecture Science and Ecology (CASE) conducts interdisciplinary research focused on next generation building technologies for a sustainable built environment. We address the need for accelerated innovation of radically new architectural systems capable of harnessing local ecological energy, and integrating better with both human and natural systems.  CASE is a multi-institutional and professional office research collaboration co-hosted by Rensselaer Polytechnic Institute and Skidmore, Owings & Merrill (SOM). Through this partnership, the boundaries of environmental performance in urban building systems on a global scale are being tested using actual building projects as test beds.  Co-located on the Rensselaer campus in Troy, NY and at SOM’s offices in lower Manhattan, CASE unites advanced architectural and engineering practices with scientific research through a unique and intensive collaboration between multiple institutions, manufacturers, and professional offices within the building industry. Rensselaer’s School of Architecture frames its advanced degree program in Built Ecologies—focused on fostering the next generation of researchers, who are able to provide performance-driven building technologies in support of clean, self-sustaining built environments—around CASE.

Affiliated faculty: M. Amitay, P. Baveye, R. Bevilacqua, J. Braasch D. Comodromos, A. Dyson, M. Gindlesparger, J. Gowdy, M. Jensen, V. Kohli, N. Koratkar, K.V. Lakshmi, C. Letchford, I. Markov, L. McGown, M. Mistur, M. Nyman, T. Rainey, N. Xiang, M. Zhegalg

Staff: M. Grise, H. Merrill

Center for Automation Technologies and Systems (CATS)

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Director: Daniel Walczyk, Professor, MANE

Director for Business Development: Craig Dory

Associate Director for Process Technologies: B. Wayne Bequette, Professor, CBE

CAT Home Page: www.cats.rpi.edu

The Center for Automation Technologies and Systems (CATS) at Rensselaer Polytechnic Institute serves as a focal point for a broad range of industrially relevant research and development in practical and theoretical aspects of automation and manufacturing.  Automation — processes and devices that improve efficiency, increase productivity, or enhance functionality — is a key enabling technology, and a critical component of sustainable global competitiveness for a wide range of industries, from biomedical and renewable energy to aerospace manufacturing.  Nearly 50 faculty members from multiple departments throughout Rensselaer participate in the research and educational programs of the Center.  With annual funding from the State of New York as a NYSTAR-designated Center for Advanced Technology, the CATS pursues a mission of research excellence and service to industry, and focuses on bridging the “laboratory-to-market” chasm across a broad range of high-impact applications.  The CATS leverages RPI’s rich ecosystem and domain expertise to help its industrial partner companies pursue a systems-level approach to solving real-world problems, advancing model-based methods and applying them to design, optimization, control, and monitoring.  Current research thrust areas include Industrial Automation & Robotics, Advanced Robotics & Control Systems, Additive & Digital Manufacturing, Continuous Processing & Control, Energy Systems Design & Manufacturing, Advanced Composites, Biocomposites Manufacturing, Biomanufacturing, Biomedical Device Manufacturing, and Life Science Automation.

Affiliated faculty: A. Abouzeid, M. Amitay, K. Anderson, J. Ban, B.W. Bequette, R. Bevilacqua, D. Borca-Tasciuc, T. Borca-Tasciuc, S. Bringsjord, V. Chan, J. Chow, D. Corr, S. De, J. Hahn, M. Hardwick, M. Hella, C. Hsu, M. Jensen, Q. Ji, A. Julius, J. Kanai, P. Karande, E. Ledet, D. Lewis, J. Lu, C. Malmborg, A. Maniatty, S. Mishra, L. Parsa, Y. Peles, R. Radke, J. Ryan, O. Sahni, S. Salon, J. Samuel, A. Sanderson, G. Saulnier, H. Scarton, P. Schoch, L. Schadler, M. Shepherd, M. Steiner, J. Sun, J. Trinkle, D. Walczyk, J. Wen, M. Wozny, B. Yazici, T. Zhang

Staff: D. Ludlow, K. Myer, S. Rock, G. Saunders, A. Tyson, J. Young

Center for Biotechnology and Interdisciplinary Studies

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Director: Deepak Vashishth, Ph.D.

Director of Operations: Glenn M. Monastersky, Ph.D.

Web site: www.biotech.rpi.edu

The Center for Biotechnology and Interdisciplinary Studies (CBIS) is a 218,000-square-foot facility on the Rensselaer campus. With its high-tech laboratories, it provides a platform for collaboration among many diverse academic and research disciplines to enhance discovery and encourage innovation. Research and office space is available for approximately 500 faculty, staff, and students, and the Bruggeman Conference Center and Auditorium host world-class programs and symposia.

The CBIS facilitates groundbreaking discoveries by Rensselaer faculty at the intersection of the basic life sciences, physical and computational sciences, and engineering sciences, which leads to new biotechnology breakthroughs. By maximizing core strengths and collaborations, CBIS ensures the impact of Rensselaer’s financial, organizational, and intellectual investment to society.

Center faculty and researchers are engaged in interdisciplinary research, focused on the application of engineering and the physical and information sciences to the life sciences.  Residents include members of several academic departments including Biology, Biomedical Engineering, Chemical and Biological Engineering, Chemistry and Chemical Biology, and Physics.

The Center is home to nine state-of-the-art Research Core facilities, which permit investigators to address fundamental research questions from the atomic and molecular level through cellular and advanced tissue systems, and finally in live animal platforms. The Research Cores include Proteomics, Microbiology and Fermentation, Analytical Biochemistry and Nanotechnology, BioResearch (Animal Research), Cell and Molecular Biology, Microscopy and Cellular Imaging, BioImaging, Nuclear Magnetic Resonance (NMR), and Stem Cell Research.

Rensselaer has supported the creation of four research Constellation areas in CBIS that build on existing Rensselaer research strengths: Biocatalysis and Metabolic Engineering; Tissue Engineering and Regenerative Medicine; Integrated Systems Biology; and Biocomputation and Bioinformatics. Each Constellation contains a mix of senior and junior faculty, and students and postdoctoral scientists from multiple backgrounds and departments. 

Biotechnology is an inherently multidisciplinary pursuit. Students interested in studying Biotechnology at Rensselaer may apply for degrees through several existing departments and programs and create a truly interdisciplinary program with consultation and approval from faculty advisers who represent at least 12 different university departments.

Affiliated Faculty: B. Barquera, G. Belfort, K. Bennett, B. Bequette, C. Breneman, C. Bystroff, C. Collins, W. Colon, J. Cooper, D. Corr, S. Cramer, G. Dai, J. Dordick, D. Drew, H. Ehrlich, M. Embrechts, A. Garcia, S. Garde, R. Gilbert, S. Gilbert, R. Gross, J. Hahn, M. Hahn, M. Holmes, X. Intes, D. Isaacson, R. Kane, P. Karande, J Kilduff, M. Koffas, S. Kotha, K. Lakshmi, E. Ledet, L. Ligon, R. Linhardt, G. Makhatadze, P. Maxwell, L. McGown, D. McGuinness, J. McLaughlin, S. Nierzwicki-Bauer, M. Nyman, G. Plopper, G. Ramanath, C. Royer, L. Schadler, R. Siegel, C. Stewart, D. Swank, P. Tessier, D. Thompson, P. Underhill, W. von Maltzahn, L. Wan, C. Wang, G. Wang, M. Wentland, I. Wilke, X. Xu, M Zaki, M. Zuker

Staff: J. Rodriguez, G. Chagas, D. Ciesielczyk, T. Neaton, E. Schultz, M. Hoin, N. Roberts, B. Arduini, M. Lopez, S. McCallum, J. Morgan, S. Pryshchep, R. Waniewski, D. Zagorevski

Center for Cognition, Communication, and Culture

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Director: Jonas Braasch

Home Page: http://ccc-rpi.org/

The Center for Cognition, Communication, and Culture is focused on the intersections and interdependency of cognition, communication and culture in the context of contemporary research, technology and society.

Interdisciplinary research activities draw on the arts, design, engineering, humanities, science, and social science. The center addresses diverse areas including the development of collaborative synthetic immersive worlds; digitally-enriched environments; the design and use of intelligent agents to stimulate and simulate creative and cultural processes, and cross-modal perception.


Affiliated Faculty: Eric Ameres, Curtis Bahn, Francine Berman, Jonas Braasch, Selmer Bringsjord, Ben Chang, Barbara Cutler, Ron Eglash, Johannes Goebel, Tomie Hahn, Jim Hendler, Qiang Ji, Eddie Ade Knowles, Ted Krueger, Michael Lynch, Joanne Luciano, Pauline Oliveros, Richard Radke, Lee Sheldon, Mei Si, Ron Sun, Mary Simoni, William Wallace, Ning Xiang
 

Center for Future Energy Systems

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Acting Director: Jian Sun, Professor, ECSE

Associate Director: Martin Byrne, MBA ‘82

Home Page: www.rpi.edu/cfes/

The Center for Future Energy Systems (CFES) is one of the 15 New York State-designated Centers for Advanced Technology (CAT) funded by Empire State Development through its Division for Science, Technology and Innovation (NYSTAR). The Center’s mission is to connect novel energy materials, devices, systems research, know-how, and technology in academia with the needs of industry to solve problems and spur economic development.

Energy is one of the most pressing issues facing society. Achieving energy security, combating global warming, and developing a new green energy economy, will require harvesting more energy from renewable sources such as solar and wind, as well as using energy more efficiently across different sectors of the industry and in all aspects of daily life. In collaboration with Cornell University, CFES addresses these challenges through cutting-edge research and industry collaboration in a wide range of areas including photovoltaic materials and cells, advanced wind turbine design and control, solid-state lighting and smart lighting sources, intelligent and energy-efficient building systems, fuel cells, advanced materials for energy storage and thermoelectric energy conversion, distributed generation, control and grid integration of wind and solar power, operation and control of future energy systems, power conversion for transportation systems, as well as power system economics.

Affiliated Faculty: M. Amitay, C. Bae, B. W. Bequette, I. Bhat, T. Borca-Tasciuc, D. Borca-Tasciuc, J. Chow, P. Chow, J. Crivello, P. Dinolfo, J. Dordick, D. Duquette, P. Dutta, A. Dyson, D. Gall, L. Huang, M. Jensen, D. Kaminski, P. Keblinski, N. Koratkar, K.V. Lakshmi, R. Leslie, D. Lewis, J. Lian, S. Lin, T. Lu, N. Narendran, D. Nieusma, L. Parsa, J. Plawsky, G. Ramanath, S. Salon, E. F. Schubert, D. Shawhan, J. Sun, M. Tomozawa, J. Vollen, C. Wetzel

Staff: L. Valenti, K. Georgeadis, T. Simmons

Center for Materials, Devices, and Integrated Systems

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Acting Director: Michael S. Shur

Associate Director: Toh-Ming Lu

Associate Director: Morris Washington

cMDIS Home Page: http://www.rpi.edu/dept/cie/

The Center for Materials, Devices and Integrated Systems, or cMDIS, (formerly Center for Integrated Electronics or CIE) provides the platform for researchers in diverse disciplines within the physical sciences and engineering to establish cross-disciplinary collaborations and develop effective teams to tackle some of the most pressing grand challenges that face our society in the 21st century. The cMDIS leads strategic research efforts in advanced materials and devices, as well as, the integration of these technologies into complex integrated systems. The principal objective of the center is to foster a safe, secure and sustainable world through interdisciplinary research that employs advanced computational tools, testbeds, and characterization facilities.

The Center’s activities range from basic and applied research and education to commercialization through partnerships with industry.  Major activities  include pioneering research into giga scale interconnects, 3-D interconnect structures, materials properties and process modeling, wideband gap semiconductors and devices, carbon-based materials and devices, power electronic devices and systems, and biochips.  State-of-the-art facilities enhance research opportunities and include a Class 100 Nanofabrication Clean Room with processing and characterization capabilities for silicone, compound semiconductors, biological, and other material systems, as well as, numerous state-of-the-art processing design, testing, and characterization facilities in individual laboratories. Located on the Rensselaer campus, the cMDIS has immediate access to expertise in a broad range of disciplines. Participants include internationally recognized faculty from a wide range of disciplines at Rensselear.

The cMDIS is the organizational home for several research centers, including the Center for Power Electronics Systems, Focus Center–New York for Interconnects for Hyperintegration, Center for Broadband Data Transport and Technology, and Connection One.  Formation of other centers, especially those that promote interdisciplinary research, will be encouraged as the number of new cMDIS projects grows.

Center for Power Electronics Systems The Center for Power Electronics Systems (CPES), sponsored by the National Science Foundation, established in 1998, and led by Virginia Tech, is a graduated national Engineering Research Center (ERC) and a multi-university consortium.  It envisions enhancing the competitiveness and growth of the power electronics industry by developing an integrated system approach with Integrated Power Electronics Modules (IPEMs). The goal of CPES, now sponsored by industrial members and partners, and by government agencies (such as Department of Energy), is to improve the performance, quality, reliability, and cost effectiveness of power electronics technologies. The recent projects in this center include wide bandgap semiconductor (particularly SiC and GaN) power devices and integrated circuits, and high temperature device and module packaging.

Focus Center–New York, Rensselaer: Interconnects for Hyperintegration This program investigates radical alternatives and new concepts leading to new solutions that will enable the U.S. semiconductor industry to transcend known limits on interconnections that would otherwise decelerate or halt the historical rate of progress toward gigascale integration (GSI). The Interconnect Focus Center at Rensselaer was one of the founding members of the nationally distributed Interconnect Focus Center (IFC) administered from Georgia Institute of Technology. The university consortium included Rensselaer, State University of New York at Albany, Georgia Tech, MIT, and Stanford.  A key aspect of the current approach used by Rensselaer is to use a combination of state of the art experiments and predictive large scale quantum based simulations to understand quantum transport and other phenomenal at the nanoscale with a focus on materials and experimental devices with feature sizes below 50 nanometers.  Examples include nanowires and molecular technologies.

Center for Broadband Data Transport and Technology IBM Corporation endows this interdisciplinary Rensselaer center, which involves faculty from the Schools of Engineering and Science, SUNY Albany, Cornell University, City College of New York, and affiliated IBM researchers. The center’s primary mission is to conduct research in optical and electrical data transport, switching, and processing to enable future generations of information technology systems. The center is also involved in educating a new generation of students and postdocs for broadband data transport science and technology. The center operates the Internet Accessible Remote Laboratory (visit http://ninct.ecse.rpi.eclu/shur/broadband).

Connection One This is a Rensselaer NSF Industry/University Cooperative Research Center involved in basic and applied interdisciplinary research in secure optical and electrical data transport switching, processing, materials, devices, systems, and information technology, enabling the massive scaling required by these systems. The research at RPI also addresses terahertz device design and characterization for VLSI testing and for wireless interconnects. This research is based on using plasma waves in semiconductors to carry information rather than relying on the electron drift, since the velocity of plasma waves is 10 to 20 times higher than the maximum electron drift velocity (visit http://www.connectionone.org/).

Affiliated Faculty: I. Bhat, D. Borca-Tasciuc, T. Borca-Tasciuc. P. Chow. J. Dordick. D. Duquette, P. Dutta, Glenn Eisman, Daniel Gall , Z. Huang, M. Hella, L. Interrante, Q. J. Ji; R. Kane, P. Keblinski, N. Koratkar, Y. Le Coz, D. Lewis, K. Lewis, S.Y. Lin, J. Lu, T.M. Lu, J. McDonald, S. Nayak, L. Parsa, P. Persans, J. Plawsky, G. Ramanath, K. Rose (Emeritus), C. Ryu, A. Sanderson, E.E Schubert, Mutsuhiro Shima, J. Sun, G.C. Wang, M. Washington, J. Wen, C. Wetzel, I. Wilke, M. Yamaguchi, T. Zhang, S. Zhang, X.C. Zhang

Center for Modeling, Simulation and Imaging in Medicine (CeMSIM)

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Director: Suvranu De

Home Page: cemsim.rpi.edu

The goal of the Center for Modeling, Simulation and Imaging in Medicine (CeMSIM) is to actively develop advanced modeling, simulation and imaging (MSI) technology for healthcare through interdisciplinary collaborations with the aim of transitioning the technology to clinical practice.

Situated at the intersection of medicine and engineering, the CeMSIM develops novel MSI solutions for a variety of challenges in the healthcare enterprise. To accomplish its objectives, the CeMSIM engages in fundamental research related to computational science and engineering, imaging science and engineering, biomedical science and engineering, biorobotics, medical visualization, haptics, networking science and technology, virtual reality and cognitive science. Application projects encompass all aspects of clinical medicine including image-based diagnostic tools (e.g., radiology, ultrasound, CT, MRI and X-ray), image analysis methods, elastographic techniques, noninvasive clinical therapy as well as surgical planning and training, tele-medicine and robotic surgery. The CeMSIM partners with premier medical schools, hospitals, industries and academic institutions across the country as well as many of the research platforms within Rensselaer. Research at the CeMSIM is aimed at rapid translation of technology from the bench to the bedside and to the greater community.

Affiliated Faculty: K. Anderson, D. Borca-Tasciuc, D. Corr, B. Cutler, S. De, X. Intes, A. Maniatty, A. Oberai, R. Radke, S. Kotha, E. Ledet, C. Picu, M.S. Shephard, J. Tichy, D. Vashishth, L. Wan, L. Zhang

Research Assistant Professors: W. Ahn, G. Sankaranarayanan

Research Associate: D. Dorozkhin

Postdoctoral Research Associates: A. Akyildiz, Q. Peng, F. Rahul
 

Center for Computational Innovations (CCI)

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Director: Christopher D. Carothers, Ph.D.

Associate Director, Research Computing Operations: Jacqueline A. Stampalia 

Associate Director of Research: Mark S. Shephard

Web site: http://cci.rpi.edu

The Center for Computational Innovations (CCI) is housed in a 22,000 square foot facility at the Rensselaer Technology Park. It includes a 4,500 square foot machine room, offices and space for industry visitors. The CCI operates heterogeneous supercomputing systems consisting of massively parallel IBM Blue Gene supercomputer and AMD Opteron and Intel Xeon processor-based clusters. The computational power of the current hardware configuration is rated at over 1 petaflop peak. The CCI system is supported by over a petabyte of disk storage. The CCI has dedicated high-speed connections to the main campus with up to 32 fiber lines available for growth as well as a direct connection to the NYSERNet optical infrastructure and Internet2 that provides access to the national and international high-speed networks.

The CCI Computational Facilities:

1. “AMOS” Blue Gene/Q: 5 racks (5K nodes, 80K cores) with 80 TB of RAM
   total and 160 I/O nodes.
2. Intel Xeon Cluster: 32, 8-way Xeon processors with 256 GB of RAM
   each.
3. Opteron Cluster (small memory): configured as:
    154 dual processor dual core nodes with 16GB/node.
    154 dual processor dual core nodes with 12GB/node.
    154 dual processor dual core nodes with 8GB/node.
4. Opteron Cluster (large memory): 40, 4-way dual core processors with
   64GB of RAM each.
5. Parallel Storage: 1.2 Petabytes disk storage over GPFS parallel
   file system.
6. Network: 384-port non-blocking 56Gbps/FDR Infiniband interconnect.

A key feature of our flagship Blue Gene/Q system (named “AMOS”) is its balance of compute with I/O capabilities. In particular, this Blue Gene/Q system has four times the I/O capacity on a per-rack basis than any other Blue Gene/Q system currently fielded. Thus, we have the capability to provide a 1.28 TB RAM cache pool by leveraging the 160 I/O nodes. For many data intensive jobs, their datasets can fit within that cache structure. For larger dataset jobs, we will offer an 8TB RAM Storage Accelerator (RSA) cluster that can pre-stage data prior to the start of the job on AMOS. Data can be moved between AMOS and the RSA at a rate of 50 GB/sec.  This RSA cluster is created by an in memory parallel filesystem that runs across our existing Intel Xeon cluster.

Currently, the center provides computational resource to external funded research activities in excess of $42M.  These research activities cut across a number of massively parallel and data analytic topics. Examples include: protein folding, micro-structure materials modeling, fundamental properties of graphene, co-design of future exascale supercomputers, massively parallel adaptive methods for
multi-scale simulation, high-performance computing workflows for industrial applications, and advanced computational fluid dynamics to name a few.

One of our central strengths is the flexibility in terms of how we engage with our industry partners. First, the CCI has the ability to work with software from 3rd party vendors like ANSYS, Polyflow and
CD-adapco as well as leverage on own research software tools and other “open source” software systems. The CCI currently has active engagements with Boeing, Corning, GNS, IBM, Kitware, P\&G, and
Simmetrix to name a few. Export controlled and corporate confidential software is able to execute at the CCI.

Affiliated faculty: A. A. Abouzeid, S. Adali, F.D. Berman, C. Breneman, C. Bystrof, C.D. Carothers, Z. Chen, M.O. Coppens, S. Cramer, B.M. Cutler, Y. Danon, S. De, P. Drineas, P.A. Fox, W.R. Franklin,D. Gall, A.  Garcia, S.S. Garde, J.T. Giedt, M.K. Goldberg, W.D. Gray, B. Henshaw, M. Holmes, J. Hendler, L. Huang,
X.R.M. Intes, D. Isaacson, P. J. Keblinksi, P.R. Kramer, D.J. Lewis, L. Liu, G. I. Makhatadze, A. Maniatty, L.L. Martin, R. Mayo, J. F. McDonald, V. Meunier, A.L. Milanova, S. Nayak, A.A. Oberai, C.R. Picu, M.D. Platt, M.Z. Podowski, G. Ramanath,  O. Sahni, D. Schwendeman, M.S. Shephard, Y. Shi, K.L. Simons, B. Syzmanski, P.T. Underhill, W.W. von Maltzahn, C. Wang, B.E. Watson, J. Wei, J. Wen, N. Xiang, G. Xu, B. Yener, M.J. Zaki, L.T. Zhang, S. Zhang, T. Zhang

Staff: D. LaBrie-Belser, M. Henesey

Technical Staff: C.W. Smith, R.L. Todd, D.M. Weeks

Curtis R. Priem Experimental Media and Performing Arts Center (EMPAC)

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Director: Johannes Goebel

Manager, Administrative Operations: Kimberly Gardner

Web site: http://empac.rpi.edu

 

The Curtis R. Priem Experimental Media and Performing Arts Center (EMPAC) is an exceptional confluence of architecture, art, science, research, and technology. The 220,000-square-foot facility holds four large venues, which can serve as venues for public events equally well as studios and laboratories for research and production, accommodating up to 1200 persons in one venue.

Much more than a university performing arts center, EMPAC is a laboratory that enables artists and scientists to independently and collaboratively advance research and development.

An expansive platform for interdisciplinary thoughts and projects, the center creates and presents contemporary artistic works of all genres; hosts a great variety of campus events; and supports extended residencies for research and development, experimentation, and production for artists and researchers alike.

EMPAC is ideal for any research that uses media technology, sensor instrumentation, large immersive projections, or human interaction of larger groups than supported in most virtual environments. Augmented and virtual reality, scientific visualization, large-scale architectural visualization, audification, haptics, auralization, and large-scale multimodal environments may be developed in technologically fully integrated spaces, which are designed specifically to support the full bandwidth of the human senses without compromise

Staff: G. Abbas, E. Ameres, A. Ascani, E. Baumgartner, D. Bebb, P. Bellamy, M. Bello, V. Brooks, E. Brucker, A. Bulayev, J. Cook, D. DelaRosa, Z. Falk, W. Fritz, K. Gardner, M. Cassaro, J. Goebel, I. Hamelin, K. Hammon, R. Jenkins, S. Johnson, C. Kile, P. Keenan, C. Lewandowski, E. Lin, S. McLaughlin, C. Sherman, A. Stempel, K. Strosahl, J. Svatek, D. Swalec, T.Vos, P. Wargo, M. Wells, E. Zimmerman

Network Science and Technology Center (NEST)

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Director: Boleslaw K. Szymanski

Web site: http://scnarc.rpi.edu/

The Network Science and Technology (NEST) Center is focused on the fundamental research and engineering of natural and technological networks, ranging from social and cognitive networks to computer networks. The fundamental understanding of network structures and dynamic processes arising in them combined with the novel designs of protocols for communication and algorithms for applications will enable experts in the fields ranging from sociology, to biology, medicine, physics, computer science and engineering to apply the results of the Center’s research in their specific disciplines.

NEST research is focused on studying fundamental properties of networks, the processes underlying their evolution and the paradigms for network engineering to enhance their desirable properties such as efficiency, reliability, and robustness. Research on natural networks focuses on cognitive models of net-centric interactions, models and algorithms of community creation, evolution, impact of mobility on network formation, dependencies between social, information and communication networks and spread of opinions and ideologies among network nodes. Research on technological networks, such as computer, transportation and energy distribution networks, focuses on their optimal design from the point of view of flow maximization, fault tolerance to failure, graceful degradation in case of partial damage, etc. In communication networks, NEST develops and studies network protocols and algorithms, especially for wireless and sensor networks and studies system issues in interoperability of communication networks with computer systems. NEST actively transitions the developed protocols and algorithms to industrial practice and commercialization.

NEST partners with universities, national laboratories and industry in large scientific programs targeting interdisciplinary research. NEST is the primary member of the Social Cognitive Network Academic Research Center (SCNARC), a part of Network Science Collaborative Technology Alliance (NS-CTA), as well as member of the International Technology Alliance, both funded by collaborative agreements with ARL. Other supporteres include NSF, DARPA, DTRA, IARPA, ARO, ONR, MIT Lincoln Laboratory, and BrandXadds.

Affiliated Faculty: S. Adali, M. Goldberg, J. Hendler, G. Korniss, K. Kar, C. Lim, M. Magdon-Ismail, F. Spier, B.K. Szymanski, W. Wallace, B. Yener.

Postdoctoral Associates: N. Derzsy, T. Jia, S. Sreenivasan, W. Zhang

 

Rensselaer Institute for Data Exploration and Applications (IDEA)

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Director: James Hendler

Home Page: http://idea.rpi.edu

The world is increasingly data-driven, web-enabled, supercomputer-powered, and globally interconnected, and this poses significant new challenges to scientists and engineers throughout all of their disciplines. Attacking these problems will require significant new technologies for sensing the environment, collecting and analyzing this data, using it to simulate engineered, biological and social systems, and applying these results to provide effectors, physical or cyber, that can help solve critical global challenges. The Rensselaer IDEA will enable research across this campus to access such technologies via the development of critical computational methodologies including data-intensive supercomputing, large-scale agent-based simulation, and cognitive computing technologies.

Subthrusts:

Data-driven Medical and Healthcare Applications: Research explores areas including personalized and mobile medical care, improved healthcare analytics, and new data-based approaches to driving down the cost of medical care.

Business Analytics: Critical infrastructure challenges arise in areas such as supply-chain network analysis and predictive analytics for modeling markets and other dynamic systems.

Built and Natural Environments/Smart Cities: Increasing capabilities for monitoring both natural and built ecologies can lead to significant environmental advances for society. Projects scale in range from studying the molecular “biomes” that arise in urban environments to modeling large-scale environments and ecological climate effects

Agents in Virtual and Augmented Reality: New computational technologies are needed not just for modeling built and natural systems, but also the social systems that result from how people live and work in both the cyber and physical worlds. Additionally the visualization and analysis of very large datasets requires new approaches to multi-user, multimodal data interaction technologies. New and scalable agent-based technologies using both cognitive and supercomputing techniques are also a focus of this research.

Cybersecurity and Network Analysis: Increasingly threats to society are growing where the networked systems of modern cyberspace come into contact with physical control systems and the social systems of people.

Data-Driven Basic Science: The use of data-driven techniques for helping scientists with their basic research has grown to the point where some now refer to this as the “Fourth Paradigm” of science. The growing area of “Semantic eScience” is another key area of research.

Policy, Ethics and Open Data: The big-data and supercomputing revolution has the power to change the world for the better. However, it also comes with a dark side. This sub-thrust focuses on how the benefits are achieved while controlling for the threats posed by ill-informed policy creation, unethical collection and use of data, and the tension between open data and privacy protections.

Affiliated Faculty: A. Abouzeid, K, Bennett, F. Berman, J. Braasch, S. Bringsjord, C. Carothers, P. Fox, A. Garcia, S. Garde, J. Hahn, J. Holguin-Veras, D. McGuinness, A. Oberai, T. Ravichandran, K. Rogers, D. Schwendeman, P. Search, B. Szymanski, D. Vashishth, B. Yener

 

Rensselaer Nanotechnology Center

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Director: Richard W. Siegel

Home Page: http://www.nano.rpi.edu

The Rensselaer Nanotechnology Center (RNC) was founded in March 2001 to conduct fundamental research on nanomaterials and nanotechnology. From September 2001 to December 2013, the RNC hosted the NSF, NYSTAR and industry funded Nanoscale Science and Engineering Center for Directed Assembly of Nanostuctures, organized around three coordinated interdisciplinary thrusts: Nanoparticle Gels and Polymer Nanocomposites; Nanostructured Biomolecule Composite Architectures; and Serving Society through Education and Outreach. Hence, the RNC has developed significant skills in assembling functional hierarchical nanostructured materials and devices with junctions and interfaces between structurally, dimensionally, and compositionally different nanoscale building blocks. The RNC also hosts the Molecularium® Project for worldwide science literacy education.

The Center focuses on creating novel materials and devices that could enable more effective healthcare in the human body, result in stronger and more durable multifunctional plastics, enable high capacity energy and information storage devices,  and address many other important applications to societal needs , including science literacy.

Affiliated Faculty: D. Borca-Tasciuc, T. Borca-Tasciuc, J.S. Dordick, D. Duquette, A.E. Garcia, D. Gall, S.S. Garde, R. Gilbert, L. Huang, R. Hull, R. Kane, P.J. Keblinski, N. Koratkar, R. Linhardt, R. Ozisik, G. Ramanath, C.Y. Ryu, L.S. Schadler, E.F. Schubert, Y. Shi, R.W. Siegel, D. Thompson

Administrative Staff: R. Healy, D. Hull, B. Jordan, E. Schultz


Scientific Computation Research Center

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Director: Mark S. Shephard

Home Page: http://www.scorec.rpi.edu 

The Scientific Computation Research Center (SCOREC) is focused on the development of reliable simulation technologies for engineers, scientists, medical professionals, and other practitioners. These advancements enable experts in their fields to appraise and evaluate the behavior of physical, chemical, and biological systems of interest.

SCOREC research is focused on the development of the technologies necessary to enable simulation-based engineering. Simulation-based engineering will introduce a new paradigm in which all interacting scales important to the behavior of materials, devices, and systems are accurately modeled and accounted for in the design of optimized products and processes. SCOREC research includes the development of adaptive methods for reliable simulations, methods to do all computation on massively parallel computers, multiscale computational methods and interoperable technologies that will speed simulation system development. Application areas for simulation technologies being developed include fluid mechanics, solid mechanics, electromagnetics, nanomaterials, and nanoelectronics. As part of this research SCOREC partners with universities, national laboratories and industry on the construction of simulation systems for specific applications in multiple areas. SCOREC actively transitions the simulation technologies developed to industrial practice and commercialization by software companies.

Affiliated Faculty: M. Amitay, K. Anderson, C.D. Carothers, B. Cutler, S. De, J. Hicken, L. Huang, X. Intes, D. Lewis, F. Li, A. Maniatty, V. Meunier, A. Oberai, R. Ozisik, C. Picu, M. Podowski, O. Sahni, M.S. Shephard, Y. F. Shi, G. Xu, M. Zeghal, L. Zhang, S. Zhang

Senior Research Associates: M. Bloomfield

Research Associate: S. Seol

Postdoctoral Research Associate:  K. Chitale, D. Fovarque, L. Fovarque, A. Osta

Computational Scientists: C. Smith

Technical and Administrative Staff: S. Carrothers, D. La-Brie Belser, T. McMullan

 

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