Agenda

Welcome to CASIS and LLNL! 8:15 AM

Detection and Recognition in Geospatial Signals and Images —
David Paglieroni 8:30 AM

• Object Detection in Low Resolution Overhead Imagery —
  1. Kofi Boakye
  2. Paul Kidwell
• Modeling, Simulation and Optimization to Guide Radiological and Nuclear Searches —
  1. Claudio Santiago
  2. Thomas Edmunds
  3. Daniel Faissol
  4. David Lange
  5. Karl Nelson
  6. Richard Wheeler
• Spectral Library Partitioning Strategies for Least Squares Identification —
  1. Shawn Higbee
• Moving Research to Practice: Learning, Modeling, & Localization —
  1. Lee Seversky

Noninvasive Imaging, Remote Sensing, and Inverse Problems — Sean Lehman 9:30 AM

• Experience with Acceleration of Ptychographic Reconstruction —
  1. Jeffrey S. Kallman
• An Overview of LLNL’s Newly Developed CT Software Package, Livermore Tomography Tools (LTT) —
  1. Karina Bond
  2. Trevor Willey
  3. Kyle Champley
  4. Steve Glenn
  5. Harry Martz

Break 9:30 AM

Welcome: Anantha Krishnan, Associate Director, Engineering (LLNL) 10:00 AM

Noninvasive Imaging, Remote Sensing, and Inverse Problems (Continued) — Sean Lehman

• Algorithms implemented in the Livermore Tomography Tool (LTT) Software Package —
  1. Kyle Champley
  2. Karina Bond
  3. Trevor Willey
  4. Steve Glenn
  5. George Overturf
  6. Harry Martz
• Characterizing Performance of Current and Emerging Platforms for Port Security —
  1. S. Glenn
  2. C. Divin
  3. K. Champley
  4. D. Fittinghoff
  5. H. Martz
  6. F. Rebassoo
  7. D. Slaughter
  8. M. Stoyer
  9. S.F. Wang
  10. D. Wright
• Reconstructing Densities from X-ray Radiographs with Edge Enhancement using Hierarchical Bayesian Sampling —
  1. Marylesa Howard
• Advances in VISAR Interferogram Analysis: Speckle-Adaptive & Ghost Fringe Removal Techniques —
  1. David Erskine
• High Speed Imaging of Metal Additive Manufacturing Processes —
  1. Ibo Matthews
  2. Gabe Guss
  3. Alexander Rubenchik
• Clock Synchronization In Underwater Acoustic Communication Channels —
  1. Grace Clark

Biological Applications of Advanced Strategic Computing — James Brase11:45 AM

1. Jason Paragas
2. Dave Rakestraw
3. Ken Turteltaub
4. Amy Gryshuk
5. James Brase

Lunch Break 12:00 PM

Welcome: Patricia Falcone, Deputy Directory of Science & Technology (LLNL)

Keynote Address: Learning Tools for Big Data Analytics 1:00 PM
Dr. Georgios Giannakis University of Minnesota Video (link to YouTube)

Poster Session 2:00 PM

• 39 GHz Interferometer System for Measuring Detonation Velocity —
  1. P.W. Ross
  2. V. Tran
  1. J. Tringe
  2. R. Kane
  3. C. May
• A Mixed-order Anisotropic Filter for Image Surface Regularization —
  1. Mohammad R. Hajiaboli
• A Robust In-situ Warp-correction Algorithm for VISAR Streak Camera Data at the National Ignition Facility —
  1. George Labaria
  2. Abbie Warrick
  3. Peter Celliers
  4. Daniel Kalantar
• Ad Hoc Video Query and Retrieval using Multi-modal Feature Graphs —
  1. Carmen Carrano
  2. Doug Poland
• Advanced Radiographic Capability (ARC) Alignment Mask Design and Image Processing —
  1. Richard Leach
  2. Abdul Awwal
  3. Simon Cohen
  4. Roger Lowe-Webb
  5. Randy Roberts
  6. Thad Salmon
  7. Dave Smauley
  8. Karl Wilhelmsen
• An Optimization Procedure to Estimate the Dielectric Constant of Solid Materials —
  1. Cory Lanker
  2. Milton Smith
  3. Shawn Higbee
• Automated FPGA-based acceleration of Deep Convolutional Neural Networks —
  1. Mohammad Motamedi
  2. Philipp Gysel
  3. Soheil Ghiasi
• Can we use Big Data Tools to Identify Microclimates? —
  1. Subarna Bhattacharyya
• Cerenkov Imaging as a Tool for PET Radiotracer Synthesis on the EWOD Microfluidic Platform —
  1. Alex Dooraghi
  2. Supin Chen
  1. Pei Keng
  2. Muhammad Javed
  3. Chang-Jin Kim
  4. Arion Chatziioannou
  5. R. Michael van Dam
• Characterizing and Detecting Aircraft Diversion Via Their Trajectories —
  1. W. Philip Kegelmeyer
  2. Timothy M. Shead
  3. M. Danny Rintoul
  4. Andy Wilson
• Complex Valued Signal Representation for Highly Nonlinear Processing using Complex Valued Interconnected Threshold Elements with Learning Capabilities —
  1. Abdul A. S. Awwal
  1. H. E. Michel
• Extraction of Blood Vessels from Retinal Phase-variance Optical Coherence Tomography Images —
  1. Arlie Capps
  2. Mark Ammons
  1. John Werner
  2. Bernd Hamann
• Facial Keypoints Detection: Reloading Classical Techniques —
  1. Igor Borovikov
  2. J. Blair
• Improving NIF Target Capsule Debris Volume Calculations in the Presence of Low Contrast and Rough Texture —
  1. Joshua Senecal
  2. Salmaan H. Baxamusa
  3. Aaron Peer
• Monitoring the Muscles Used in Voluntary Finger Movement as a New Method of Human-Computer Interfacing —
  1. Kaushik Kasi
• Practical Considerations in Applying Compressed Sensing to Simulation Data —
  1. Ya Ju Fan
  2. Chandrika Kamath
• Remembrance of Phases Past: An Autoregressive Method for Generating Phase Screens in AO Simulations —
  1. Srikar Srinath
  2. Alexander R. Rudy
  1. Lisa A. Poyneer
  2. S. Mark Ammons
• Rigorous Analysis of Noise Correlation —
  1. M. Odyniec
  2. J. Blair
• Robot Garden, and Other Maker Spaces, Play an Important Role in the Community —
  1. Vic Castillo
• Robust Surface Reconstruction —
  1. Matthew Berger
• Small-scale GPUs for Power-limited Applications in Computer Vision and Mobile Robots —
  1. Vic Castillo
• Use of Landsat 5 for Change Detection at 1998 Indian and Pakistani Nuclear Test Sites —
  1. Michael E. Zelinski
  2. John Henderson
• Virtual Seismometers for Induced Seismicity Monitoring —
  1. Christina Morench
  2. Eric Matzel

Featured Presentation: Visual Texture Analysis: From Similarity to Material Properties 3:00 PM
Thrasyvoulos (Thrasos) N. Pappas Northwestern University Video (link to YouTube)

Big Data and Machine Learning — Kofi Boakye, (LLNL) and Karim Mahrous (SNL/CA) 3:30 PM

• A Randomized Ensemble Approach to Industrial CT Segmentation —
  1. Jayaraman J. Thiagarajan
  2. Hyojin Kim
  3. Peer-Timo Bremer
• Automatic Threat Recognition at LLNL —
  1. Philip Top
  2. Ana Paula Sales
  3. Hyojin Kim
  4. Eric Wang
  5. Jay Thiagarajan
  6. Timo Bremer
  7. Steve Azevedo
  8. Harry Martz
• Tag Annotation: Joint Vector Spaces —
  1. Karl Ni
  2. Michael Mayhew
• Attacking DBSCAN for Fun and Profit —
  1. Jonathan Crussell
  2. Philip Kegelmeyer

Signal and Image Processing for Neurotechnology, Astrophysics, and Radiation Detection — Karina Bond 4:30 PM

• Signal Processing in Neurotechnology —
  1. Sarah Felix
• Inferring the Properties of Galaxies and the Universe with a Hierarchical Dirichlet Process Prior —
  1. William A. Dawson
  2. Michael Schneider
• An MCMC Approach to Quantifying Uncertainties in Fusion Neutron Spectroscopy —
  1. Aaron Luttman
• Sequential Bayesian Estimation of Parameters of Fission Processes —
  1. Hema Chandrasekaran
  2. James Candy
  3. David Chambers
  4. Sean Walston