Los Alamos National LaboratoryInformation Science and Technology Institute (ISTI)
Implementing and fostering collaborative research, workforce and program development, and technical exchange

Past Seminars

The IS&T seminars on various information science and technology topics are held every Wednesday from 3-4 PM at the CNLS Conference Room unless otherwise noted.

Contact  

  • Center Leader
  • James Ahrens
  • (505) 667-5797
  • Email
FY21 Past Speakers
Date Location/Time Speaker Org Host Title
3/9/2021

Webex

10:00am

 Dr. Mark Yampolisky Auburn University Chris Rawlings Additive Manufacturing Security: Welcome to the New Frontier
5/16/2021

Webex

10:00am

 Dr. Guy Van den Broeck UCLA Reid Porter From Probabilistic Circuits to Probabilistic Programs and Back
5/11/2021

Webex

10:00am

 Dr. Christopher Tosh Columbia University Reid Porter Doing More with Less: Machine Learning with Precious Data
6/15/2021

Webex

1:00pm

 Dr. Fablo Cozman University of Sao Paulo Karl Sentz The Joy of Probabilistic Logic Programming
6/18/2021

Webex

10:00am

 Shawn Jones Old Dominion University Diane Oyen Improving the Understanding of Document Collections Through Social Media Storytelling Techniques
6/22/2021

Webex

10:00am

 Anika Tabassum Virginia Tech Diane Oyen Explainable and Network-based Machine Learning for Critical Infrastructures

8/17/2021

Webex

10:00am

 Dr. Hao Wu LANL N/A A Multi-Dimensional Parametric Study of Variability in Multi-Phase Flow Dynamics During Geologic CO2 Sequestration Accelerated with Machine Learning
FY20 Past Speakers

Date

Location/ Time

Speaker

Org

Host

Title

10/3/19

CNLS Conference Room; 

11:00am-12:00pm

Masanao Yamaoka

Hitachi

Carleton Coffrin

A New-Paradigm Computing Accelerator, CMOS Annealing Machine, to Solve Combinatorial Optimization Problems

10/16/19

CNLS Conference Room; 

2:00pm-3:00pm

Werner Benger

Airborne Hydromapping

Chris Biwer

Massive Geometric Algebra for Outer and Geographic Space

11/19/19

CNLS Conference Room; 

9:30am-10:30am

 Stanley Rotman

 Ben-Gurion University of the Negev

 James Theiler

 Machine Learning for Anomaly Detection in Multi-Dimensional Data

11/26/19

JRO 1 and 2 Conference Room;

10:00am-11:00am

Ruslan Shaydulin

Clemson University

Stephan Eidenbenz

Practical Optimization on Near-Term Quantum Computers
4/7/2020

 Webex; 1:00pm-2:00pm

 Carleton Coffrin

 LANL

 Dan O'Malley

 

A Step Towards Accelerating Combinatorial Optimization with Quantum Annealing
FY19 Past Speakers

Date

Location/ Time

Speaker

Org

Host

Title

2/7/19

VIZ Lab; 3:00pm-4:00pm

Jason Liu

Florida International University

Stephan Eidenbenz

HPC Demand Response

2/12/19

Jemez Conf. Room; 9:30am-10:30am

Rajesh Raganath

New York University

Earl Lawrence

Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications

2/13/19

CNLS Conf. Room;

2:00pm-3:00pm

Nikolai Sinitsyn

LANL (T-4)

Daniel O’Malley

Quantum Annealing and Quantum Explosives

2/27/19

CNLS Conf. Room;

11:00am-12:00pm

Carleton Coffrin

LANL (A-1)

Daniel O’Malley

Challenges with Chains: Testing the Limits of a D-Wave Quantum Annealer for Discrete Optimization

2/27/19

CNLS Conf. Room;

2:00pm-3:00pm

Natesh Ganesh

University of Massachusetts

Stephan Eidenbenz

Thermodynamic Intelligence, A Heretical Theory

3/6/19

CNLS Conf. Room;

2:00pm-3:00pm

Tapio Schneider

California Institute of Technology

Nathan Urban

Earth System Modeling 2.0: Toward Accurate and Actionable Climate Predictions with Quantified Uncertainties

3/13/19

CNLS Conf. Room;

2:00pm-3:00pm

Michael Krajecki and Arnaud Renard

Universite de Reims Champagne

Christoph Junghans and Robert Pavel

RomeoLAB: A High-Performance Training Platform for HPC, GPU, and Deep Learning

3/20/19

CNLS Conf. Room;

2:00pm-3:00pm

Yigit Subasi

LANL

Daniel O’Malley

Solving Systems of Linear Equations with a Quantum Computer

3/26/19

CNLS Conf. Room;

9:30am-10:30am

Dr. Nicholas Bisek

Air Force Research Laboratory

Arvind Mohan

Experience with Large Data and State-of-the-Art HPC

4/2/19

Cochiti Conf. Room;

9:30am-10:30am

Rajarshi Guhaniyogi

University of California- Santa Cruz

Devin Francom

A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging

4/3/19

CNLS Conf. Room;

11:00am-12:00pm

David Guera Cobo

Purdue University

Juston Moore

The Adversarial Landscape: Satellite Imagery Forgery Detection and Counter-Forensic CNNs

4/9/19

MSL Auditorium;

9:30am-10:30am

Andrew Gordon Wilson

Cornell University

Earl Lawrence and Nathan Urban

Uncertainty, Loss Valleys, and Generalization in Deep Learning

4/10/19

CNLS Conf. Room; 2:00pm-3:00pm

Christian Shrauder

Yellowbrick Data

Li-Ta Lo

Yellowbrick Data, Petabyte Scale SQL

4/23/19

CNLS Conf. Room;

9:30am-10:30am

Kary Myers 

LANL 

Earl Lawrence 

Partitioning a Large Simulation as it Runs 

4/24/19

CNLS Conf. Room;

2:00pm-3:00pm

Donald Waagen  

Air Force Research Laboratory  

Benjamin Migliori  

Characterizing Inter-Layer Functional Mappings of Deep Learning Models  

6/4/19

CNLS Conf. Room;

9:30am-10:30am

 

Georg Hahn

 

LANL 

 

Daniel O’Malley		 Preprocessing a QUBO for Quantum Annealing—Persistency Analysis and the Roof Dual

 

6/5/19

CNLS Conf. Room;

2:00pm-3:00pm

 Han-Wei Shen

 

Ohio State University

 

 

Ayan Biswas

 
An end-to-end in situ data processing, analysis, and visualization pipeline
6/12/19

CNLS Conf. Room;

2:00pm-3:00pm

 

 Melanie Mitchell

 

 Portland State University

 

 Diane Oyen

 

 The Ascents and Collapses of Artificial Intelligence
6/25/19

 

CNLS Conf. Room;

9:30am-10:30am

 

 Chris Rauckackas
MIT
 Nathan Urban
Model-Free Scientific Computing with Neural Differential Equations
6/26/19

 

CNLS Conf. Room;

11:00am-12::00pm
Aidan Thompson
 Sandia National Laboratory
Nicholas Lubbers
 Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?
6/26/19

 

CNLS Conf. Room;

3:00pm-4:00pm

 Pawel Dlotko
Swansea University
 Roxana Bujack and David Rogers
On the Shape of Data
7/3/19

VIZ Lab;

10:00am-11:00am

 
Trilce Estrada
 University of New Mexico
Diane Oyen
 A Graphic Encoding Method for Quantitative ~ Classification of Protein Structure and Representation of Conformational Changes
7/9/19

CNLS Conf. Room;

9:30am-10:30am

 

 Theresa-Marie Rhyne
Self Employed
 Ayan Biswas
Color Fundamentals for Scientific Visualization
7/10/19

 

VIZ Lab;

10:00am-11:00am
Di Ye
 Zhennovate
Diane Oyen
Moment-by-Moment Shift from Overachiever to High Performer-Introduction to Managing Imposter Syndrome
7/16/19

 

CNLS Conf. Room;

9:30am-10:30am

 Artemy Kolchinsky
Santa Fe Institute
 Juston Moore Machine Learning through the Information Bottleneck
7/17/19

 

CNLS Conf. Room;

11:00am-12:00pm
Jeff Barrett
 University of California-Irvine
Stephan Eidenbenz
On the Nature of Quantum Randomness
7/17/19

 

CNLS Conf. Room;

3:00pm-4:00pm

 Dingwen Tao
University of Alabama
 Christopher Biwer High-Performance Computing at Extreme Scale-Keeping-Up with Scientific Data Explosion
7/23/19

 

CNLS Conf. Room;

9:30am-10:30am
Susan Mniszewski, Prosper Akrobotu, Jason Terry
 LANL
Daniel O’Malley
Combinatorics Algorithms on Near-Term Quantum Architectures
7/24/19

 

CNLS Conf. Room;

11:00am-12:00pm

 Chris Bryan
Arizona State University
 Ayan Biswas Interactive Visualization for Exploring and Explaining Complex Data
7/24/19

 

CNLS Conf. Room;

2:00pm-3:00pm
Patrick Riley
 Google
Diane Oyen
A Whirlwind Tour of Molecular Machine Learning
8/6/19

 

CNLS Conf. Room;

9:30am-10:30am

 Andreas Baertschi
LANL
 Daniel O’Malley Preparation and Compression of Symmetric Pure Quantum States
8/7/19

 

CNLS Conf. Room;

3:00pm-4:00pm
Guoning Chen
University of Houston
David Rogers
Toward Robust Structure-Aware Hexahedral Meshing
8/27/19

CNLS Conf. Room;

9:30AM-10:30AM

 Francesca Samsel University of Texas at Austin Ayan Biswas
Practical Guidelines for Optimizing the Power of Color to Reveal
9/16/19

CNLS Conf. Room

 Sameer Singh UC Irvine Juston Moore
Mini workshop
9/18/19

CNLS Conf. Room;

2:00pm-3:00pm

 Peter Loxley University of New England in Australia Reid Porter
Dynamic Programming with Sparse Codes: Investigating a New Computational Role for Sparse Representations of Natural Image Sequences
9/25/19

CNLS Conf. Room;

2:00pm-3:00pm

 Avi Pfeffer Charles River Associates Kari Sentz
Probabilistic Programming: Past, Present, and Future
FY18 Speakers
Date Speaker Org/Institution Host Title of Presentation
1/23/18 Phillipe Pebay NexGen Analytics John Patchett Efficient Visualization and Analysis of Large-Scale, Tree-Based, Adaptive Mesh Refinement Simulations with Rectilinear Geometry
3/28/18 Patrick Taylor Missouri University of Science and Technology Chris Rawlings or Daniel Tauritz Effective Learning and Control in Biologically Realistic Spiking Neural Network Simulations
4/25/18 Cindy Bolme, Jim Ahrens, David Walters, Earl Lawrence, David Rogers, Richard Sandberg M-9. CCS-7, CCS-6, MPA-CINT Kary Myers Real-Time Adaptive Acceleration of Dynamic Experimental Science
5/23/18 Minsu Choi Missouri University of Science and Technology Chris Rawlings or Daniel Tauritz Efficient Quasi-Stochastic Computing in FPGA for Parallelism, Scalability, and Programmability
6/4/18 Sharen Cummins CSIRO Australia Tim Germann Computational Modelling at Australia’s Commonwealth Scientific and Industrial Research Organization
6/13/18 Joseph Schoonover Cooperative Institute for Research in Environmental Sciences and the Space Weather Prediction Center Hai Ah Nam High Order Fluids Modeling on Multi-GPU Systems
7/11/18 Godehard Sutmann Institute for Advanced Simulation, Julich Germany Christoph Junghans Adaptive Dynamic Load-Balancing for Parallel Particle Simulations
7/18/18 Hank Childs University of Oregon Li-Ta Lo (Ollie) In Situ Processing: Instantiations, Opportunities, and Challenges
7/25/18 Allen Sanderson University of Utah Pascal Grosset Teasing out Ephemeral Data for In Situ Visualization and Analysis
7/25/18 Paul Navratil University of Texas at Austin David Rogers Seeing the Future: Visual Analysis in the Age of Ubiquitous Computing
8/7/18 Qiang Guan Kent State University Li-ta Lo Tensorview: In Situ Visualization of Convolutional Neural Networks
8/8/18 Kate Isaacs University of Arizona John Patchett Enabling Fine-Grained Exploration of Application Performance through Visualization
8/22/18 Michela Taufer University of Tennessee, Knoxville Chris Biwer In Situ Data Analytics for Next Generation Molecular Dynamics Workflows
11/20/18 Marouane Kessentini University of Michigan Gophinath Chennupait Predicting, Detecting, and Fixing Technical Debt via Computational Intelligence
11/28/18 Jeff Regier University of California,  Berkeley Nathan Urban Cataloging the Visible Universe through Approximate Bayesian Inference
12/10/18 Tushar Athawale University of Utah James Ahrens Statistical Analysis for Qualification and Visualization of Spatial Variability in Features of Uncertain Data
FY17 Speakers
Date Speaker Org/Institution Host Title of Presentation
8/23/17 Nicholas Polys Virginia Tech Curt Canada Immersive Analytics: New Approaches to Scaling High-Performance Visualization
8/02/17 George Markowsky Missouri S&T Curt Canada The Metric at the End of the Rainbow
7/12/17 Kate Keahey Argonne National Laboratory Curt Canada Chameleon: A Deeply Reconfigurable, Large Scale Instrument for Computer Science Experimentation
7/12/17 Dr. T. Alan Keahey Conversant Media Curt Canada Bridging the Scale Gap Between Visual Perception and Big Data
6/7/17 Dr. Simone Silvestri Missouri S&T Chris Rawlings
5/31/17 Christopher Barrett Virginia Bioinformation Institute Stephan Eidenbenz
5/24/17 Barry Smith State University of New York Benjamin Sims The Evolving Ontology Landscape
5/24/17 (2pm-3pm) Sam White Charmworks, Inc Christoph Junghans Adaptive MPI: Dynamic Runtime Support for MPI Applications
5/23/17 (1pm-2pm) Phil Miller Charmworks, Inc Christoph Junghans Charm++ for Production Parallel Programming
5/2/17 (11am-12pm) Jonathan Mace Brown University Carleton Coffrin Towards a Tracing Plane for Distributed Systems
3/15/17 Dr. Allon Percus Claremont Graduate University Gowri Srinivasan Network Classification in Rocks and on Roads
3/8/17 Horacio Vargas Guzman Max Planck Institute for Polymer Research Christoph Junghans Scalable and Fast Heterogeneous Molecular Simulation with Predictive Parallelization Schemes
3/8/17 Christopher Biwer Syracuse University Curt Canada The Search for Binary Neutron Star and Black Hole Mergers in Advanced LIGO
2/22/17 Daniel Tartakovsky Stanford University Gowri Srinivasan Quantitative Forecasting for Energy Applications
2/8/17 Yongchao Yang LANL/Engineering Institute NSEC Full-field Imaging and Modeling of Structural Dynamics from Digital Videos
1/25/17 Phil Ames Google Carleton Coffrin Scalable Modern Security
1/23/17 Tamara Broderick Massachusetts Institute of Technology Amy Larson Fast Quantification of Uncertainty and Robustness with Variational Bayes
1/18/17 Christian Reidys Virginia Bioinformation Institute Stephan Eidenbenz Biocomplexity
FY16 Speakers
Date Speaker Org/Institution Host Title of Presentation
12/16/2016 Robert Fowler University of North Carolina Curt Canada An Approach to Productivity and Performance Portability Through Domain-specific Optimization of C++
12/07/2016 Cory Lanker Lawrence Livermore National Laboratory James Theiler Improving hyperspectral detection of solids using spectral features
11/30/2016 Laura McNamara Sandia National Laboratory Curt Canada Our Analytic Systems are (Mostly) Failing End Users … But the Problem is Fixable!
11/16/2016 Kody Law Oak Ridge National Laboratory Nathan Urban Bayesian Computation: Inverse problems, Data Assimilation, and Machine Learning
11/09/2016 Claire Guilbaud CEA/DAM-Ile de France, France Curt Canada LOVE: Large Object Visualisation Environment
10/12/2016 Gunther Weber Lawrence Berkeley National Laboratory Curt Canada Topological Analysis at the Extreme Scale: Finding Features in Large Data Sets
09/28/2016 Laura McNamara Sandia National Laboratory Curt Canada TBD
09/21/2016 Daniel Vacanti Christoph Junghans Kansan Crash Course: From Novice to Expert in 60 Minutes
09/15/2016 Gopinath Chennupati Los Alamos National Laboratory Stephan Eidenbenz Grammatical Evolution + Multi-Cores = Automatic Parallel Programming!
09/14/2016 Stanley Rotman Ben-Gurion University James Theiler Remote Sensing Change Detection for Disaster Management
09/06/2016 Matthew Larsen Lawrence Livermore National Laboratory Curt Canada TBD
08/31/2016 Patricia Crossno Sandia National Laboratory Curt Canada Slycat™ Analysis and Visualization
08/17/2016 *Special Time 10:00am* Nathan Cahill Rochester Institute of Technology James Theiler Semi-Supervised Graph-Based Methods for Image Segmentation and Classification
08/17/2016 Torsten Hoefler ETH Zurich Christoph Junghans Model-Driven Automatic GPU Compilation and Why You Want to Run MPI on Your GPU
08/15/2016 Oxana Chkrebtii Ohio State University Nate Urbina Uncertainty Quantification for Dynamical Systems without Closed Form Solutions
07/28/2016 Richard Barret Sandia National Laboratory Robert Robey TBD
07/27/2016 Kerstin Kleve van Dam Brookhaven National Laboratory Curt Canada TBD
07/27/2016 Niall Adams Imperial College London Melissa Turcotte Adaptive Estimation for Change Point Detection in Continuous Monitoring
07/20/2016 Kenny Gruchalla NREL; Scientific Visualization Curt Canada TBD
07/20/2016 Srinivasa Narayan Intel Labs John George Beyond Machine Learning: Neuromorphic Computing
07/13/2016 Klus Miller Stony Brook University and SUNY Korea Curt Canada Big Data Visual Analytics
06/13/2016 Stephen Guerin Santa Fe Institute Bob Robey SimTable Demonstration
06/1/2016 Chris Rozell Georgia Institute of Technology Garrett Kenyon TBD
05/11/2016 Ronnie Mainieri Permissionbit Aric Hagberg A Compact Representation for Detecting Malware
03/23/2016 Roland Faller University of California, Davis Christoph Junghans Multiscale modeling of soft matter and its Integration to Experiment
03/21/2016
1-2 p.m.		 Debashish Mukherji Max Planck Institute for Polymer Research Stephan Eidenbenz Co-non-solvency: Soft, Smart Responsive Systems in Solvent Mixtures
03/7/2016 10-11 a.m. Ross Maciejewski Arizona State University Curt Canada Enabling Predictive Analytics Through Visualization
03/7/2016 9-10 a.m. Ariane Middel Arizona State University Curt Canada How to stay cool in the desert—Examples of urban climate research at the local and micro-scale
02/10/2016 Roxana Bujack University of California, Davis Curt Canada Moment Invariants in Flow Visualization
02/01/2016 Oxana Chkrebtii Ohio State University Nathan Urban Uncertainty quantification for dynamical systems without closed form solutions
01/21/2016 Vladimir Braverman Johns Hopkins University Curt Canada Beating CountSketch for Heavy Hitters in Insertion Streams
01/13/2016 Joachim Bunhmann Institute for Machine Learning ETH Zurich Stephan Eidenbenz Information theory of algorithms: How precisely should we compute in Big Data Settings
12/09/2015 Jasper van de Gronde University of Groningen Curt Canada Data Analysis and Filtering through Connected Mathematical Morphology
12/02/2015 Alessandro Foi Pampere University of Technology Brendt Wohlberg Image Denoising
11/24/2015 Ruediger Urbanke Swiss Federal Institute of Technology in Lausanne Mark Vuffray Teaching An Old Code A New Trick
11/18/2015 Alina Zare University of Missouri James Theiler Multiple Instance Learning Approaches for Target Characterization
10/21/2015 Dr. Lav R. Varshney University of Illinois at Urbana-Champaign Frank Alexander Chef Watson and the Mathematical Limits of Creativity
09/09/2015 Miguel Velez-Reyes University of Texas at El Paso James Theiler Integrating Spatial and Spectral Information in Hyperspectral Image Processing
FY15 Speakers
Date Speaker Org/Institution Host Title of Presentation
10/08/2014 John L. Gustafson Ceranovo, Inc. Curt Canada The End of Numerical Error
11/05/2014 Patrick Rubin-Delanchy University of Bristol Melissa Turcotte Dynamic Network Data: Applications, Challenges, Results
11/10/2014 Peter Coveney University College London Frank Alexander Computational Biomedicine: A Challenge for the Twenty-First Century
12/10/2014 Sajal K. Das Missouri University of Science and Technology Alex Kent/Daniel Tauritz Securing Cyber-Physical Critical Infrastructures in Smart Living Environments
01/21/2015 Robert Ryne Lawrence Berkeley National Laboratory Frank Alexander Large-Scale Simulation of 3D Radiative Phenomena using a Lienard-Wiechert Particle-Mesh Method
02/11/2015 Hamish Carr University of Leeds Curt Canada Fiber Surfaces: Generalizing Isosurfaces to Bivariate Data
02/18/2015 Hamid Krim North Carolona State University James Theiler Efficient Analysis of High Dimensional Data: A Geometric Perspective
03/25/2015 Mark J. Embrechts Rensselaer Polytechnic Institute Donald Dudziak A Brief History of Big Data Analytics
04/22/2015 June Zhang Carnegie Mellon University David Mascarenas Impact of Topology on Dynamical Processes Over Networks
06/10/2015 Kathleen Knobe Rice University Susan Mniszewski Concurrent Collections for Both Productivity and Parallel Performance
06/17/2015 Cecilia Aragon University of Washington Curt Canada The Hearts and Minds of Data Science
06/24/2015 Cindy Rubio-Gonzalez University of California, Davis Curt Canada Scalable Program Analyses to Improve Software Reliability
07/01/2015 Kenneth Moreland Sandia National Laboratories Curt Canada High Performance Visualization in the Many-Core Era
07/15/2015 Terece Turton University of Texas at Austin Curt Canada Using Qualtrics & Amazon Mechanical Turk for User Testing and Validation of Colormaps for Scientific Visualization
07/22/2015 Wu Chun Feng Virginia Tech Curt Canada An Ecosystem for the New HPC: Heterogeneous Parallel Computing
07/29/2015 Gagan Agrawal Ohio State University Curt Canada Programmability, Performance, and Dealing with Memory Constraints in In-Situ Analytics
08/04/15"Special" 9:30-10:30AM Kate Starbird University of Washington Reid Priedhorsky Uncovering the Dynamics of Online Rumoring during Crisis Events: A Multi-Dimensional Signature Approach
08/05/2015 "Special" 1:30-2:30PM Dan Keefe University of Minnesota Curt Canada Magical User Interfaces: Interactive Computing for Scientific Visualization and Art
08/05/2015 Stanley Rotman Ben Gurion University of the Negev, Israel James Theiler Target Detection in Hyperspectral Imagery: When Less or More
08/12/2015 Bill Howe University of Washington Curt Canada Myria/Kamook: Federated Big Data Programming across HPC and Enterprise Environments
08/17/2015 "Special" 2:00-3:00PM Torsten Moeller University of Vienna Curt Canada Advancing Science Through Visual Reasoning
08/26/2015 Satoshi Matsuoka Tokyo Institute of Technology Curt Canada The Inevitable End of Moore's Law beyond Exascale will Result in Data and HPC Convergence
FY14 Speakers
Date Speaker Org/Institution Host Title of Presentation
12/11/2013 Ethan Rossi University of Rochester Jenni Disterhaupt High Resolution Retinal Imaging with Adaptive Optics: Clinical Applications and New Technologies for the Study of Visual Function
12/18/2013 Cliff Joslyn Pacific Northwest National Laboratory Frank Alexander Semantic Graph Database Analytics: Complex is the New Big Data
02/05/2014 >Sriram Chellappan Missouri University of Science and Technology Alex Kent/Mike Fisk Assessing Human Behavior for Internet Usage with Applications to Cyber Security
03/04/2014 David Thompson Kitware Curt Canada Sublinear Sampling for Exploratory Visualization
03/12/2014 Lori Dalton Ohio State University Frank Alexander/Turab Lookman Optimal and Predictive Classification and Error Estimation
03/26/2014 James Davis University of California, Santa Cruz Reid Porter Understanding Image-based Data Using Human Computation
04/16/2014 Doug Allaire Texas A&M University Frank Alexander A Composition-based Approach to Uncertainty Quantification with Connections to Multi-information Source Optimization
04/30/2014 Bruce McMillin Missouri University of Science and Technology Alex Kent Information Flow Properties for Security in Cyber-Physical Systems
06/18/2014 Michael Robinson American University Frank Alexander A Unified Framework for Multi-INT Signal Processing
07/02/2014 Remco Chang Tufts University Curt Canada Analyzing User Interactions for Data and User Modeling
07/16/2014 Gregory Abram The University of Texas at Austin Curt Canada Rendering: OpenGL vs Ray Tracing
07/23/2014 Ken Joy University of California, Davis Curt Canada Some Hard Problems in Visualization
07/30/2014 Bernd Hamann University of California, Davis Curt Canada Mathematical, Visual and Interactive Methods for the Processing and Analysis of Scientific Data
08/06/2014 Yanif Ahmad Johns Hopkins University Curt Canada Towards Data On Tap: Data Views for Continuous Data Workflow and Exploration Systems
08/13/2014 Bernice Rogowitz Visual Perspectives Curt Canada Visualization and Visual Representation: Nuggets of Wisdom from Research in Vision and Cognition
08/20/2014 Kristin Potter University of Oregon Curt Canada Statistical Uncertainty: From Quantification to Visualization 

08/27/2014

3-4PM

 Mike Kirby University of Utah Curt Canada Lessons from the Search For "Verifiable Visualizations"

08/27/2014

4-5PM

 Ross Whitaker University of Utah Curt Canada Why You Should (Probably) Not be Doing "Uncertainty Visualization"
09/03/2014 Scott Ferson Applied Biomathematics Kari Sentz Accounting for Doubt about the Model in Risk and Uncertainty Analyses
09/10/2014 Hank Childs University of Oregon Curt Canada Exascale Computing, Flow Visualization, and Data Exploration: A Strategy for Achieving All Three
09/24/2014 Guillaume Belanger European Space Agency Curt Canada A Statistical Exploration of the INTEGRAL Data Archive