Louis Rall, University of Wisconsin Madison
Perspectives on Automatic Differentiation: Past, Present, and Future?

1. Shaun A Forth , Cranfield University (Shrivenham Campus)
   An Adjoint Solver for an Industrial CFD Code via Automatic Differentiation [extended abstract]

2. Eric Phipps , Sandia National Laboratories
   Periodic Orbits of Hybrid Systems and Parameter Estimation via AD [extended abstract]

1. Jan Riehme , Humboldt University Berlin
   Computing Adjoints with the NAGWare Fortran 95 Compiler [extended abstract]

2. Andre Vehreschild , RWTH Aachen
   A System to Define Derivatives for a Large Number of Functions Built into MATLAB [extended abstract]

3. Ivo P. Nenov , Frontline Systems Inc.
   Convexity Determination in the Microsoft Excel Solver Using Automatic Differentiation Techniques [extended abstract]
   

1. Mike Fagan , Rice University
   Activity Analysis: Algorithms and Effectiveness [extended abstract]

2. Laurent Hascoet , INRIA Sophia-Antipolis
   The Recompute-Or-Store Alternative in reverse Automatic Differentiation [extended abstract]

3. J. Utke , University of Chicago / Argonne National Laboratory
   Flattening of Basic Blocks [extended abstract]

4. Uwe Naumann , RWTH Aachen
   Optimal Pivoting in Augmented Tangent-Linear and Adjoint Systems of Nonlinear Equations [extended abstract]

1. Julia Sternberg , Technical University Dresden
   Reduction of storage requirement by checkpointing for time-dependent optimal control problems in ODEs [extended abstract]

2. Ralf Giering , FastOpt
   Generating tangent linear and adjoint versions of NASA/GMAO's Fortran-90 global weather forecast model [extended abstract]

3. Frank P. Hart , North Carolina State University
   Streamlined Circuit Device Model Development with fREEDA and Adol-C [extended abstract]
   
4. M.L.Shashikant , Michigan State University
   A highly accurate high-order method to solve the Neumann boundary condition problem for the 3D Laplace equation [extended abstract]

Carl Wunsch, Massachusetts Institute of Technology
Applications of AD to Optimization and Sensitivity Analysis in Geophysical Fluids

1. Ying Xiao , University of Oklahoma
   Development of Adjoint for a Complex Atmospheric Model, the ARPS, using TAF [extended abstract]

2. Pavel Snopok , Fermi National Accelerator Laboratory
   Simulation and Optimization of the Tevatron Accelerator [extended abstract]
   

1. David M. Gay , Sandia National Labs
   Semiautomatic Differentiation for Efficient Gradient Computations [extended abstract]

2. Laurent Hascoet , INRIA Sophia-Antipolis
   The adjoint Data-Flow analyses: formalization, properties, and applications [extended abstract]

3. Hans Julius Skaug , Institute of Marine Research
   Integration by differentiation; doing modern statistics in AD Model Builder [extended abstract]

4. Uwe Naumann , RWTH Aachen
   OpenAD
   

Paul Werbos, National Science Foundation
TBD

1. Shahadat Hossain , University of Lethbridge
   Pascal Seeding and the Efficient Calculation of Sparse Jacobian Matrices [extended abstract]
   
2. J. Utke , University of Chicago / Argonne National Laboratory
   Optimality-Preserving Constant Folding [extended abstract]
   

1. Kyung-Wook Jee , University of Michigan Medical Center
   Implementation of Automatic Differentiation tools for Multicriteria IMRT Optimization [extended abstract]

2. Vanesa de la Torre , Carnegie Mellon University
   Optimization of Periodic Adsorption Processes with a Novel Problem Formulation and Nonlinear Programming Algorithm [extended abstract]

3. Mohamed Tadjouddine , Cranfield University (Shrivenham Campus)
   Adjoint Differentiation of a Structural Dynamics Solver [extended abstract]
   

1. Bruce Christianson , University of Hertfordshire
   Automatic Propagation of Uncertainties [extended abstract]

2. Koichi Kubota , Chuo University
   Computation of matrix permanent with automatic differentiation [extended abstract]

3. Thomas Kaminski , FastOpt
   Efficient sensitivities for the spin-up phase [extended abstract]

4. Johannes Grote , Michigan State University
   High Order Representation of Poincare Maps [extended abstract]
   

1. Marc Honnorat , LMC-IMAG Grenoble
   Automatic differentiation: a tool for variational data assimilation and adjoint sensitivity analysis for flood modeling. [extended abstract]

2. Andrea Walther , Technical University Dresden
   Online checkpointing for time-dependent flow control using HiFlow [extended abstract]

3. Derya B. Ozyurt , Massachusetts Institute of Technology
   Application of Targeted Automatic Differentiation to Large Scale Dynamic Optimization [extended abstract]

4. John D. Hobby , Bell Laboratories, Lucent Technologies
   An Application for Semi-Automatic Differentiation [extended abstract]

1. Arno Rasch , RWTH Aachen
   Load Imbalance Effects in an AD-generated CFD Code [extended abstract]

2. Valérie PASCUAL , INRIA Sophia-Antipolis
   Extension of TAPENADE towards FORTRAN9X [extended abstract]

3. Monika Petera , RWTH Aachen
   Differentiation System Designed for Dynamic Optimization Algorithms in Process Enginering [extended abstract]

4. Kevin Long , Sandia National Laboratories
   Efficient Discretization and Differentiation of Partial Differential Equations through Automatic Functional Differentiation [extended abstract]
   

1. Mohamed Tadjouddine , Cranfield University (Shrivenham Campus)
   Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation [extended abstract]

2. Peter Gottschling , Technical University Dresden
   ANGEL - An Extensible Library for Jacobian Accumulation [extended abstract]

3. Sebastian Schlenkrich , Technical University Dresden
   Application of AD based Quasi-Newton-Methods on stiff ODEs [extended abstract]