Annual Report 2008.pdf - SAMSI

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2. Program Core Participants and Targeted Experts For each of the major programs, the following tables present the key participants for the programs. The participants are categorized and coded as follows: DL Distinguished Lecturer Program affiliated speaker FF Faculty Fellow Teaching release from local university FA GF GA Faculty Associate Graduate Student Fellow Graduate Student Associate Program affiliated local faculty for which no release time is allocated Student from local university, assigned to a specific program and paid a stipend Program-affiliated local student with no stipend VGF Visiting Graduate Fellow Non-local student, paid only expenses NRV NRC PF PA SV SC WG WGR New Researcher Visitor New Researcher Core Visitor Postdoctoral Fellow Postdoctoral Associate Senior Visitor Senior Core Visitor Working group Participant Remote working group participant Non-local researchers (holding PhD 5 years or less) brought in for short intervals for interaction with program participants Non-local researchers (including fellows) who play a major role in program activities Program-affiliated individual, paid a stipend in association with a local university Program-affiliated individual with appointment shorter than 1 year Researcher (holding PhD 6 or more years) brought in for short intervals for interaction with program participants Non-local researchers (including fellows) who play a major role in program activities local participants of <strong>SAMSI</strong> working groups (not fellows, visitors or persons otherwise designated) remote participants of <strong>SAMSI</strong> working groups (not otherwise designated)
Environmental Sensor Networks Program Core Participants and Targeted Experts Last Name First Name Gender Affiliation Department Status Agarwal Banerjee Bell Breen Cameletti Cardon Cortes Clark Croft Dawson Ellis Evangelou Ferreira Flikkema Frolik Gelfand Gonzalez Holan Ankit Pubali David Michael Michela Zoe Jorge Jim Jessica Todd Carla Evangelos Marco Paul Jeff Alan Joe Scott M U Kansas Engineering WGR F Iowa State Engineering WGR M Duke U Life GF M EPA Engineering WG F University of Bergamo Statistics NRC F Ecosystems Center, Marine Biological Lab Life WGR M UC San Diego Engineering SV M Duke U Biology FA F U Utah Engineering WGR M UC Berkeley Life WGR F Duke U Comp WG M UNC Statistics GF M U Missouri Statistics WGR M N Arizona Engineering SC M U Vermont Engineering WGR M Duke U Statistics FA M CDC Statistics WGR M U Missouri Statistics SC
Page 1 and 2: NSF Annual Report 2007-2008 Submitt
Page 3 and 4: Education and Outreach • 2-Day Wo
Page 5 and 6: C. Directorate’s Summary of Chall
Page 7 and 8: National Leadership and Involvement
Page 9 and 10: D. Synopsis of Developments in Rese
Page 11 and 12: the efficient treatment of complex
Page 13 and 14: c) RANDOM MEDIA Much of the work of
Page 15 and 16: 2. Human Resource Development SAMSI
Page 17 and 18: [it] from time to time.” (M. Rose
Page 19 and 20: Undergraduate Workshops 2007-08 Sum
Page 21 and 22: 3. Education The impact of SAMSI co
Page 23 and 24: The working group Climate and Weath
Page 25 and 26: oundary method as a means to impose
Page 27 and 28: assumed full responsibility for the
Page 29 and 30: I. Annual Progress Report The previ
Page 31 and 32: Kazi Ito NCSU Mathematics Ralph Smi
Page 33: 2007-08 Sensor Networks Transition
Page 37 and 38: Yang Yu Zhang Zhong Zhu Jun Bin Yi
Page 39 and 40: Mattingly McKinley Minion Mitran Ng
Page 41 and 42: Cheng Choi Clark Cooley Das Das Del
Page 43 and 44: Ren Resnick Rios Cuirong Sidney Jes
Page 45 and 46: Rosenblum Rotnitzky Scharfstein Sun
Page 47 and 48: B. Postdoctoral Fellows This sectio
Page 49 and 50: Administrative Mentor: Michael Mini
Page 51 and 52: We consider modeling multiple risk
Page 53 and 54: 1. Statistics Department Seminar, C
Page 55 and 56: Presentations: Change of Spatiotemp
Page 57 and 58: Presentations: “Some Thoughts on
Page 59 and 60: Theory for multiple change-point se
Page 61 and 62: 2. Discovering Game Theoretic Conce
Page 63 and 64: “Work on numerical large deviatio
Page 65 and 66: contributing team member, as often
Page 67 and 68: accuracy of the solutions. Some pre
Page 69 and 70: Continuing Collaborations: Helen Zh
Page 71 and 72: 7 th World Congress in Probability
Page 73 and 74: N/A 9. Other Research while at SAMS
Page 75 and 76: Risk analysis (multivariate extreme
Page 77 and 78: Jesus Rios Plans for 2008-10 I will
Page 79 and 80: Communication: --a consistent, time
Page 81 and 82: C. Graduate Student Participation 1
Page 83 and 84: Elijah Gaioni (University of Connec
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Xiaoyan’s thesis work is on devel
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Jason Wilson (Duke) is involved in
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Ilka A. Reis (National Institute fo
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4. Challenges in Dynamic Treatment
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4.5 Program Activities The program
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which held morning and afternoon se
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• B. Carlin (Biostatistics, Unive
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Also following from the program, se
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4.11 Summary of Exciting Research a
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interested students and faculty, an
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6. Education and Outreach Program T
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Cherokee Investment Partners, Const
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G. Publications and Technical Repor
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• Ma, C. “Construction of Non-G
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• Bayarri, M.J., J. Berger, F. Li
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• Vernieres, G., Gremaud, P., Olu
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• Krishnapur, M., Zeitouni, O., R
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• Hou, S., K. Huang, K. Solna, an
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• Das, S., “Analyzing Fatal Dri
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H. Diversity Efforts SAMSI puts con
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(University of Utah) and Natallia K
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2007-08 Random Media Opening Worksh
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2. Affiliate Involvement 2.1 Backgr
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J. Advisory Committees Committee Na
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Institute directors agree to inform
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analysis of DNA and protein sequenc
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University), Jeremy Gunawarden (Har
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Many problems and existing simulati
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Carolina), Gareth Peters (New South
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actually replace individual analyse
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effect parameter of interest prior
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with structures that are not tempor
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about confidence in results. Furthe
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2. Stochastic Dynamics 2.1 Overview
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Michael Reed (Mathematics, Duke), G
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These two approaches, through the u
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• Li Lexin (North Carolina State
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At NCAR, Boulder, Colorado and orga
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SAMSI working groups. Participation
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certain distances, be used to captu
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subject to the l 1 constraint. Zou
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3. Breiman, L. (1996): Heuristics o
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enabled high virtual attendance by
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(b) Estimation of large random matr
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We have already discussed problems
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Appendix C. Workshop Participant Li
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Sanso Bruno Male University of Cali
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Compmod New Methods and Case Studie
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El Karoui Nourredine Male UC Berkel
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Education and Outreach Program SAMS
Page 185 and 186:
Sutton Karyn Female NCSU Mathematic
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Lin Rongheng Male U Mass Biostatist
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Geometry and Statistics of Shape Sp
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Heo Giseon Female Hirani Anil Male
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Pennec Xavier Male Pike Brian Male
Page 195 and 196:
Yasamin Saeid Male Yezzi Anthony Ma
Page 197 and 198:
Daum Keith Male Idaho National Labo
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Langstaff John Male Laurey Terri Fe
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Sedransk Nell Female NISS Statistic
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Risk PPP Workshop Workshop Particip
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Rezaei Mahmoud Male Clemson Mathema
Page 207 and 208:
Lysenko Natalia Female ETH Zurich S
Page 209 and 210:
Biondini Gino Male State U New York
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Khatri Shilpa Female Courant Instit
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Spiller Elaine Female SAMSI Mathema
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Interface Workshop Workshop Partici
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Cheney Margaret Female Rensselaer P
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Agarwal Ankit Male U Kansas Enginee
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Lahiri Soumendra Male Texas A & M U
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Last Name SAMSI/CRSC Industrial Mat
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Reale- Levis Jim Male NCSU Engineer
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Gray William Male U. North Carolina
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Serban Nicoleta Female Georgia Inst
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Brotherson Temitope Female NJ Scien
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Frink Kaiem Male Elizabeth City Sta
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Jones Dana Female Bennett College f
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Munoz Breda Female RTI Internationa
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Smith Ralph Male NCSU Mathematics F
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Undergraduate Two-Day Workshop Part
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Schmidt Courtney Female Georgetown
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Schaeffer Amanda Female U Arizona M
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Presentation Chris Snyder, NCAR/MMM
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Chair of Afternoon Session Tom Sant
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1:00-2:15 Lunch Chair of Afternoon
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“Calibration of a Numerical Model
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model. The output is functional dat
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santner.1@osu.edu “Optimization o
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greatly from the active support of
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“Blind Kriging: a New Method for
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10:00-10:30 Break Characterizing th
Page 269 and 270:
— hist_pie.m — hist_pie_exercis
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9:00 Presentations and Discussion
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11:25-11:55 From Population to Indi
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4:00 - 5:30 Shapes in Medical Imagi
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4:15 - 4:45 Discussion Panel Wednes
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dcremers@cs.uni-bonn.de “Shape In
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We will construct epsilon entropy e
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Department of Statistics flb@stat.w
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University of California Los Angele
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2:45 - 3:15 Break N. D. Shyamal Kum
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2:15 - 4:00 Working Group Formation
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and public health questions; little
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Howard Kunreuther University of Pen
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series. We propose a specific class
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Interface Tracking in Connection to
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Purdue University Center for Comput
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of the solution. Here we reveal a s
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of the grand challenges of science.
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numerical approach. Several example
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Biofilms are complicated, living co
Page 309 and 310:
Knut Solna University of California
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This poster presents an analysis of
Page 313 and 314:
X. Program on Risk Analysis, Extrem
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SPEAKER ABSTRACTS Chair: David Bank
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Thoughts on the Use of Decision Ana
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Bias Correction in Pharmaceutical R
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In the talk we will discuss some mo
Page 323 and 324:
Stephen Sain, National Center for A
Page 325 and 326:
Concha Gomez, University of Wiscons
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Iris Mack, Phat Math, Inc. and Flor
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8:15 - 8:45 Continental Breakfast a
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coordinate grids on the surface. To
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University of California, Irvine De
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overall a good agreement between im
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9:00-9:05 Alan Karr, National Insti
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3:30 - 4:00 Coffee Break Soumen Lah
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“Experiences in Developing an Eco
Page 343 and 344:
Jennifer Hoeting Colorado State Uni
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kogle@uwyo.edu “Data-Model Integr
Page 347 and 348:
“Compression and Analysis of Gold
Page 349 and 350:
"A Cost-Efficient Approach to Wirel
Page 351 and 352:
The main goal of a data collection
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Wednesday, January 23, 2008 Radisso
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“Robust Prediction Error Criterio
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one of the main sources of uncertai
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other. A core problem is how to inf
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"The Asymptotic Structure of Nearly
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SAMSI madar@post.tau.ac. “Bayesia
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11:30 - 12:00 Discussion Session 12
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garnier@math.jussieu.fr “Wave Pro
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has lagged. While it is quite clear
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Appendix E - Workshop Evaluations E
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E.2 Evaluation of Scientific Conten
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E.3 Evaluation of Staff Percent of
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E.5 Evaluation of Lodging Evaluatio
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