Elliot Anshelevich received his Ph.D. from Cornell University under the supervision of Jon Kleinberg in 2005. His research interests include network design problems, algorithmic game theory, local and decentralized routing algorithms, approximation algorithms, and information propagation in both social and computer networks. He is particularly interested in a range of problems defined on large decentralized networks, especially those involving strategic agents. Elliot lives in Troy, NY, where he has been a faculty member of the RPI CS department since 2006.
Cornell University, Ithaca, New York, 2000-2005
Ph.D. Computer Science, August 2005
Thesis title: Design and Management of Networks with Strategic Agents
Advisor: Jon Kleinberg
Master of Science, May 2004
Rice University, Houston, Texas, 1996-2000
B.S. Computer Science, May 2000
Double major in Computer Science and Mathematics
magna cum laude
Dr. Bennett
is an active researcher in the Mathematical Programming, Operations
Research, Machine Learning, Bioinformatics and Data Mining communities. She is
currently a Professor in the departments of Mathematical Sciences and Computer Science at Rensselaer. She founded and directs the NIH funded TB-Track Project which examines the molecular epidemiology of tuberculosis. She is co-PI of RPI's NSF Advance project for the advancement of women faculty at RPI and has expertise in gender issues and faculty advancement.
She was Program
Co-chair of the 2005 SIGKDD Knowledge Discovery and Data Mining
Conference. She has served as a program committee member of numerous conferences including
SIGKDD Knowledge Discovery and Data Mining Conference, AAAI
Conference, International Conference on Machine Learning, Neural
Information Processing Systems, IEEE Conference on Data Mining,
Computational Learning Theory, and SIAM International Conference on
Data Mining. She is a founding associate editor of ACM Transactions
on Knowledge Discovery and Data Mining. She has organized multiple
data mining and machine learning clusters at INFORMS meetings. She
is a former associate editor of Naval Research Logistics, Machine
Learning Journal, SIAM Journal of Optimization, and IEEE
Transactions on Neural Networks. She serves on the advisory board of
the Journal of Machine Learning Research. She has experience
developing data mining approaches for chemistry, biology, and public
health related applications. She is PI and director of a project of the NIH
funded project: Discovering Hidden Groups Across Tuberculosis
Patient and Pathogen Genotype Data. She has one patent for
database indexing to support data mining earned while she was a
visiting researcher at Microsoft Research. She received both the
Rensselaer and NSF Early Career Awards, as well as the Boeing
Distinguished Educator Award for Women and Minorities.
J. Zaretzki, C. Bergeron, P. Rydberg, T.-W. Huang, K. P. Bennett, and C. Breneman, �RS-Predictor: A new tool for generating and validating models capable of predicting sites of cytochrome P450-mediated metabolism,�, Journal of Chemical Information and Modeling, to appear, 2011
G. Moore, C. Bergeron, and K. P. Bennett, �Model Selection for Primal SVM�, Machine Learning, to appear, 2011.
Dr. Bequette served as President of the American Automatic Control Council (AACC) in 2008-9, and currently serves as the AIChE CAST Division Programming Chair (2010-2013). He is a Fellow of the AIChE (May, 2008), was inducted into the Arkansas Academy of Chemical Engineers (April, 2007), received the Rensselaer School of Engineering Research Excellence Award (2008), and was named a Trustee of the CACHE Corporation (2010-2012).
Dr. Bequette is the author of Process Control: Modeling, Design and Simulation (2003) and Process Dynamics: Modeling, Analysis and Simulation (1998), both published by Prentice Hall. He served as the Guest Editor of Diabetes Technology and Therapeutics (February, 2005), and also edited special issues on Process Control for the IEEE Control Systems Magazine (August and December, 2006). He is a founding member of the editorial board of the Journal of Diabetes Science and Technology, and has co-edited a number of special issues on algorithms for sensors and a closed-loop artificial pancreas.
1980 B.S. Ch.E. University of Arkansas, Fayetteville
1985 M.S.E. University of Texas, Austin
1986 Ph.D. University of Texas, Austin
Cameron, F., B.W. Bequette, D.M. Wilson, B.A. Buckingham, H. Lee and G. Niemeyer “A Closed-Loop Artificial Pancreas Based on Risk Management,” J. Diabetes Sci. Technol., 5(2), 368-379 (2011).
Kuure-Kinsey, M. and B.W. Bequette “A Multiple Model Predictive Control Strategy for Disturbance Rejection,” Ind. Eng. Chem. Res. 49(17), 7983-7989 (2010).
Dassau, E., F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham and F.J. Doyle III. “Real-time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, 33(6), 1249-1254 (2010).
Buckingham, B, H.P. Chase, E. Dassau, E. Cobry, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, 33(5), 1013-1018 (2010).
Bequette, B.W. Continuous Glucose Monitoring: Real-Time Algorithms for Calibration, Filtering and Alarms. J. Diabetes Science and Technology, 4(2), 404-418 (2010).
Bequette, B.W. Process Control: Modeling, Design and Simulation, Prentice Hall, Upper Saddle River, NJ (2003).
Bequette, B.W. Process Dynamics: Modeling, Analysis and Simulation, Prentice Hall, Upper Saddle River, NJ (1998).
AIChE Fellow (May, 2008)
Arkansas Academy of Chemical Engineers (April, 2007)
Trustee of the CACHE Corporation (2010-2012)
Rensselaer School of Engineering Research Excellence Award (2008)
Ishwara B. Bhat is a Professor of Electrical, Computer and Systems Engineering Department at RPI. He received his B.S.E.E. degree from Indian Institute of Technology, India and his M.S. and Ph.D. degrees from Electrical Engineering, Rensselaer Polytechnic Institute (RPI).
Bhat joined Rensselaer in 1985 as a research associate and was promoted to full professor in 2000. He has published over 75 articles in refereed journals and edited several special issues of the Journal of Electronic Materials. Bhat has served as a member of the program committee of several national and international conferences, including serving as co-chair of the 1996 and 2000 U.S. Workshop on the Physics and Chemistry of II-VI Materials held in Las Vegas, Nevada and Albuquerque, N.M., respectively. Bhat has over 20 years of experience in epitaxial growth and characterization of several II-VI, III-V, and IV-IV semiconductors. His work includes growth of wide band gap semiconductors (such as GaN, SiC, and ZnSe) and narrow band semiconductors (such as HgCdTe and InGaSb). His current research is focused on the growth of silicon carbide epitaxial films for use in high-power, high-temperature, and high-voltage devices, including Texas Instruments and others.
Ph.D. Electrical Engineering (Rensselaer Polytechnic Institute, 1985), M.S. Electrical Engineering (Rensselaer Polytechnic Institute, 1981), B.S. Electrical Engineering (Indian Institute of Technology, 1980)
Epitaxial growth of n-type SiC using phosphine and nitrogen as the precursors (2002)
Copper drift in methyl-doped silicon oxide film (2002)
Atomic Force Microscopy Studies of CdTe Films Grown by Epitaxial Lateral Overgrowth (2001)
In-situ monitoring of the growth of Bi2Te3 and Sb2Te3 films and Bi2Te3-Sb2Te3 suprelattice using spectroscopic ellipsometry (2001)
Selective growth of CdTe on Silicon and GaAs substrates (2000)
His accomplishments include first demonstrations of p-type doping of HgCdTe by metalorganic vapor phase epitaxy (MOVPE), p-type doping of ZnSe by MOVPE using phenylhydrazine, several in-situ grown infrared devices in HgCdTe, and development of an epitaxial lateral overgrowth (ELO) process for CdTe on Si.
Upon graduating from Bucharest University, Theodorian Borca-Tasciuc spent several months as a research assistant for The Institute of Physics and Technology of Radiation Devices, also located in Bucharest. He joined Duke University's Department of Mechanical Engineering and Materials Science for over a year as a graduate student research assistant before beginning work on his doctorate at UCLA (PhD 2000).
Dr. Theodorian Borca-Tasciuc has started his academic career in 2001 at Rensselaer Polytechnic Institute and since 2007 he is an associate professor. He is the director of the Nanoscale Thermophysics and Energy Conversion Laboratory (NanoTEC) on the Rensselaer campus. He received the NSF CAREER award (2004), is an associate editor for the Journal of Nanomaterials, and a member of the ASME’s K8 committee on Fundamentals of Heat Transfer. He has organized and chaired symposia and sessions on nanoscale thermal transport and energy conversion with ASME and MRS.
Research Description
The main research theme in the Nanoscale Thermophysics and Energy Conversion(NanoTEC) laboratory directed by Dr. Theodorian Borca-Tasciuc is engineering nanoscale thermal transport and thermoelectric energy conversion. His work focuses on experimental investigations in synergy with physical models and materials structure. Features in the investigated samples (thin films, nanoparticles, nanowires, or the nano-domains in nanomaterials) are typically smaller than characteristic length scales of the heat carriers (such as the carrier mean free path), so conduction of heat can strongly deviate from the classical Fourier law. Similarly, nanoscale heat sources could also exhibit non-classical conduction of heat. These are critical issues for the thermal management of nanodevices, nanointerconnects, optoelectronics, or the design of nanocomposites and nanomaterials.
On another hand, nanostructures and nanostructured materials enable novel ways to independently control the thermoelectric properties (Seebeck coefficient and electrical and thermal conductivities) that define the thermoelectric figure of merit Z, a metric important for thermoelectric energy conversion applications ( such as solid state refrigeration and power generation). The enhancement of Z in nanostructures is mainly effected through control of size, interfaces, and doping in the material. The goal is to obtain non-dimensional figures of merit (ZT, T is temperature) that increase to values as high as 1.5-3, from the current values <1, to revolutionize solid state thermoelectric applications for cooling and power generation from waste heat.
Understanding and engineering the thermal and thermoelectric transport at nanoscale is therefore an essential and challenging part of Dr. T. Borca-Tasciuc’s research. A critical role is played by development of experimental techniques able to probe transport properties at nanoscale, in nanomaterials, across-nanointerfaces, or to test the operation of nanoscale thermoelectric devices. These techniques are employed to perform studies of property-structure relationship to understand and optimize thermal and thermoelectric transport as required by specific applications. Selected examples of techniques developed include a scanning thermal microprobe for quantitative characterization of the thermal conductivity and Seebeck coefficient with microscale resolution, a transient method for measurement of all thermoelectric properties as well as electrical and thermal contact resistances in films, a photothermoelectric method to determine the anisotropic thermal conductivity and the interface thermal resistance in thin film on-substrate systems, a Joule heating thermometry method for characterization of thermal transport from nanoscale heat sources.
Selected investigations include: 1) discovery of a new class of highly scalable, high figure of merit, nanostructured bulk thermoelectric materials (patent pending); 2) implementation of a novel mechanism for formation of high thermal conductivity networks in polymer composites filled with nanoparticles (patent pending); 3)investigations of anisotropic thermal properties in aligned carbon nanotube arrays and aligned carbon-nanotube polymer composites; 4) studies of the interface thermal resistance at the native interface between carbon nanotube arrays and the silicon substrate; 5) investigations of thermal transport in Si/Ge and Si/SiC multilayers; 6) investigations of non-Fourier thermal transport from individual nanoscale heaters to silicon substrates;
This is a list of selected works. For a full list of publications and additional information please check the NanoTEC laboratory website:http://nanotec.meche.rpi.edu/
A New Class of Doped Nanobulk High-Figure-of-Merit Thermoelectrics by Scalable Bottom-up Assembly, R. J. Mehta, Y. Zhang, C. Karthik, B. Singh, R. W. Siegel, T. Borca-Tasciuc & G. Ramanath, Nature Materials, Vol. 11, 233-240, 2012.
Enhanced Thermal Conductivity in a Nanostructured Phase Change Composite due to Low Concentration Graphene Additives, F.Yavari, H. Raeisi Fard, K. Pashayi, M. A. Rafiee, A. Zamiri, Z. Yu, R. Ozisik, T. Borca-Tasciuc and N. Koratkar, J. Phys. Chem. C, Vol. 115, 8753, 2011.
A non-contact thermal microprobe for local thermal conductivity measurement, Y. Zhang, E. Castillo, R. Mehta, G. Ramanath, and T. Borca-Tasciuc, Review of Scientific Instruments, Vol. 82, 024902, 2011.
Thermoelectric characterization by transient Harman method under non-ideal contact and boundary conditions, E. E. Castillo, C. L. Hapenciuc, and T. Borca-Tasciuc, Review of Scientific instruments, Vol. 81, 044902, 2010.
A microprobe technique for simultaneously measuring thermal conductivity and Seebeck coefficient of thin films, Y. Zhang, C. L. Hapenciuc, E. E. Castillo, T. Borca-Tasciuc, R. J. Mehta, C. Karthik, and G. Ramanath, plied Physics Letters, Vol. 96, 062107, 2010.
Temperature dependent thermal conductivity of Si/SiC amorphous multilayer films, M. Mazumder, T. Borca-Tasciuc, S. Teehan, H. Efstathiadis, E. Stinzianni, and V. Solovyov, Applied Physics Letters, Vol. 96, 093103, 2010.
Effect of Nanoparticles on the Liquid-Gas Surface Tension of Bi2Te3 Nanofluids, S. Vafaei, A. Purkayastha, A. Jain, G. Ramanath and T. Borca-Tasciuc, Nanotechnology, Vol. 20, 1855702, 2009.
Thermal resistance of the native interface between vertically aligned multiwalled carbon nanotube arrays and their SiO2/Si substrate, Y. Son, S. K. Pal,T. Borca-Tasciuc, P. M. Ajayan, R. W. Siegel, Journal of Applied Physics, Vol. 103, 024911, 2008.
Electrowetting on dielectric-actuation of microdroplets of aqueous bismuth telluride nanoparticle suspensions, Raj K Dash, T Borca-Tasciuc, A Purkayastha and G Ramanath, Nanotechnology, Vol. 18, 475711, 2007.
Effect of nanoparticles on sessile droplet contact angle,
Vafaei, S., Borca-Tasciuc, T., Podowski, M. Z., Purkayastha, A., Ramanath, G., and Ajayan, P. M., Nanotechnology, Vol. 17, 2523-2527, 2006.
Anisotropic Thermal Diffusivity of aligned multiwall carbon nanotube arrays, Borca-Tasciuc, T., Vafae, S., Borca-Tasciuc, D.-A., Wei, B. Q, Vajtai, R., and Ajayan, P., Journal of Applied Physics, Vol. 98, 054309, 2005.
Data Reduction in 3w Method for Thin-Film Thermal Conductivity Determination, Borca-Tasciuc, T., Kumar, A. R., and Chen, G., Review of Scientific Instruments, Vol. 72, 2139-2147, 2001.
Thermal Conductivity of Symmetrically Strained Si/Ge Superlattices, Borca-Tasciuc, T., Liu, W. L., Liu, J. L., Zeng, T., Song, D. W., Moore, C. D., Chen, G., Wang, K. L., Goorsky, M. S., Radetic, T., Gronsky, R., Sun, X., and Dresselhauss, M. S., Superlattices and Microstructures, Vol. 28, 199-206, 2000.
Thin-film Thermophysical Property Characterization by Scanning Laser Thermoelectric Microscope,Borca-Tasciuc, T. and Chen, G., International Journal of Thermophysics, Vol. 19, 557-567, 1998.
I'm an Associate Professor in the Computer Science Department and an EMPAC Affiliated Faculty member at Rensselaer Polytechnic Institute. My research interests include computer graphics, geometry processing, visualization, and design tools for architecture.
Previously I was a student and then Post-Doctoral Lecturer at MIT in the Department of Electrical Engineering and Computer Science doing research in the Computer Graphics Group which is part of the Computer Science and Artificial Intelligence Laboratory (CSAIL).
PhD Computer Science 2003 Massachusetts Institute of Technology
MEng Computer Science 1999 Massachusetts Institute of Technology
BS Computer Science & Engineering 1997 Massachusetts Institute of Technology
Interpreting Physical Sketches as Architectural Models
Barbara Cutler and Joshua Nasman
Advances in Architectural Geometry 2010, September 2010.
Dynamic Projection Surfaces for Immersive Visualization
Theodore C. Yapo, Yu Sheng, Joshua Nasman, Andrew Dolce, Eric Li, and Barbara Cutler
PROCAMS 2010 IEEE International Workshop on Projector-Camera Systems, June 2010.
Global Illumination Compensation for Spatially Augmented Reality
Yu Sheng, Theodore C. Yapo, and Barbara Cutler
Computer Graphics Forum, Eurographics 2010, April 2010.
A Spatially Augmented Reality Sketching Interface for Architectural Daylighting Design
Yu Sheng, Theodore C. Yapo, Christopher Young, and Barbara Cutler
IEEE Transactions on Visualization and Computer Graphics, accepted October 2009.
B.S. in architecture and urbanism, Federal University of Minas Gerais, Brazil; M.S. in lighting, Rensselaer Polytechnic Institute;
Ph.D. in Multidisciplinary Science, Rensselaer Polytechnic Institute
Professor Gall is member of the Materials Science and Engineering Department at the Rensselaer Polytechnic Institute. He received his Diploma from the University of Basel, Switzerland, in 1994, and his Ph.D. from the University of Illinois at Urbana-Champaign in 2000. Prof. Gall has been a Visiting Scientist at the Frederick Seitz Materials Research Laboratory, Illinois, and a Visiting Professor at the Ecole Polytechnic Federal Lausanne. He has served as Assistant Editor and Editorial Board Member for Thin Solid Films, as Associate Editor for the Journal of Vacuum Science and Technology A, as chair for the AVS Advanced Surface Engineering Division, as proceedings editor, session, symposium, and program chair for the AVS International Symposium and the International Conference for Metallurgical Coatings and Thin Films.
Prof. Gall’s research focuses on the development of an atomistic understanding for thin film growth, with particular interest in transition-metal nitride coatings, ion-surface interactions, and glancing angle deposition. He has pioneered a multiple length-scale approach to explain texture evolution in hard-coatings, has shown how low-energy ion-irradiation can be employed to control surface diffusion processes and resulting microstructures, and has developed a variety of uniquely shaped nanostructure architectures by exploiting atomic shadowing effects during physical vapor deposition. His research on novel transition-metal nitrides was identified as one of “the 100 most important scientific discoveries during the past two and a half decades, supported by the US Department of Energy’s Office of Science”. He also won the 2006 Alfred H. Geisler Memorial Award for “Outstanding Contributions in Education and Thin Film Growth Research,” the Faculty Early Career Development (CAREER) Award from the National Science Foundation, the 2007 Outstanding Research Award from the Rensselaer School of Engineering, the 2008 Early Career Award for “Excellence in Education and Outstanding Research in the Field of Thin Film and Nanostructure Growth,” and the 2008 IBM Faculty Award for research on “Post-CMOS Nanoelectronics.” Professor Gall holds one US patent, has authored 3 book chapters and over 90 peer-reviewed journal articles, and has presented his research results in over 40 invited lectures in North America and Europe. His students won numerous poster competitions, best paper awards, and best microscopy awards. Prof. Gall’s research is funded by the National Science Foundation, the US Department of Defense, the Semiconductor Research Corporation, the ACS Petroleum Research Fund, IBM, and the State of New York.
http://www.rpi.edu/~galld
Ph.D. Physics (University of Illinois, 2000), M.S. Physics (University of Basel, Switzerland, 1994), B.S. Physics (University of Basel, Switzerland)
J. S. Chawla and D. Gall, “Effective Electron Mean Free Path in TiN(001),” J. Appl. Phys. submitted (2012)
S. Mukherjee and D. Gall, “Structure Zone Model for Extreme Shadowing Conditions,” Thin Solid Films, 525, (2012)
C.P. Mulligan, P.A. Papi, and D. Gall, “Ag transport in CrN-Ag nanocomposite coatings,” Thin Solid Films 520, 6774 (2012)
R.P. Deng, P. Muralt, and D. Gall, “Bi-axial texture development in AlN layers during off-axis sputter deposition,” J. Vac. Sci. Tech. A, 30, 051501 (2012)
For a complete list of Dr Galls publications please click here http://www.rpi.edu/~galld/publications/publications.htm
2008 IBM Faculty Award for research on “Post-CMOS Nanoelectronics.”
Juergen Hahn was born in Grevenbroich, Germany, in 1971. He received his diploma degree in engineering from RWTH Aachen, Germany, in 1997, and his MS and Ph.D. degrees in chemical engineering from the University of Texas, Austin, in 1998 and 2002, respectively. He was a post-doctoral researcher at the chair for process systems engineering at RWTH Aachen, Germany, before joining the department of chemical engineering at Texas A&M University, College Station, in 2003. He joined the Rensselaer Polytechnic Institute as a professor in 2012 and is currently the heading the Department of Biomedical Engineering in addition to holding an appointment in the Department of Chemical & Biological Engineering. His research interests include systems biology and process modeling and analysis with over 70 articles and book chapters in print. Dr. Hahn is a recipient of a Fulbright scholarship (1995/96), received the Best Referee Award for 2004 from the Journal of Process Control, the CPC 7 Outstanding Contributed Paper Award in 2006, was named the 2010 CAST Outstanding Young Researcher, and has been elected as an AIMBE fello in 2013. He is currently serving as an associate editor for the journals Automatica, Control Engineering Practice, and the Journal of Process Control.
C. Kravaris, J. Hahn, and Y. Chu. Advances and Selected Recent Developments in State and Parameter Estimation. Computers & Chemical Engineering 51, pp. 111-123 (2013)
L. Bansal, Y. Chu, C. Laird, and J. Hahn. Regularization of Inverse Problems to Determine Transcription Factor Profiles from Fluorescent Reporter Systems. AIChE Journal 58, No. 12, pp. 3751-376 (2012)
C. Moya, Z. Huang, P. Cheng, A. Jayaraman, and J. Hahn. Investigation of IL-6 and IL-10 Signaling via Mathematical Modeling. IET Systems Biology 5, No. 1, pp. 15-26 (2011)
Z. Huang, C. Moya, A. Jayaraman, and J. Hahn. Using the Tet-On System to Develop a Procedure for Extracting Transcription Factor Activation Dynamics. Molecular BioSystems 6, No. 10, pp. 1883-1889 (2010)
C. Qu and J. Hahn. Computation of Arrival Cost for Moving Horizon Estimation via Unscented Kalman Filtering. Journal of Process Control 19, No. 2, pp. 358-363 (2009)
Z. Huang, F. Senocak, A. Jayaraman, and J. Hahn. Integrated Modeling and Experimental Approach for Determining Transcription Factor Profiles from Fluorescent Reporter Data. BMC Systems Biology 2:64 (2008)
Associate Editor, Journal of Process Control 2010-
Associate Editor, Automatica 2011-
Associate Editor, Control Engineering Practice 2007-