PDADS-2022: Second International Workshop on Parallel and Distributed Algorithms for Decision Sciences Bordeaux, France, August 29, 2022 |
Conference website | https://www.csm.ornl.gov/workshops/PDADS2022/index.html |
Submission link | https://easychair.org/conferences/?conf=pdads2022 |
Abstract registration deadline | June 17, 2022 |
Submission deadline | June 17, 2022 |
Author Notification | July 1, 2022 |
Camera-Ready Copy | July 11, 2022 |
The goal of this workshop is to create a forum for scientists, engineers and practitioners to present, discuss and collaborate on new results/ideas in the intersection of algorithms research, computational sciences, decision sciences and optimization. There is a growing recognition that a variety of use-cases in modern science and engineering, including social sciences and engineering applications, are poised to benefit from fast real-time decision-making capabilities. Increasingly powerful computing technologies are expected to solve optimization and decision science problems that were considered computationally prohibitive for integration within scientific and engineering workflows, especially those needing real-time decision-making capabilities. The workshop encourages topics on the theory, design and applications of novel methods and algorithms for different types of optimization problems that arise within the broader purview of decision-making capabilities in areas such as scientific/engineering workflows, logistics, transportation and urban planning, public health, manufacturing, energy (e.g., electric grids), digital twin systems (e.g., precision agriculture, smart cities, earth systems), operations management, machine learning, finance and others. Both regular papers as well as short position papers describing work-in-progress with innovative ideas related to the workshop topics are being solicited.
Important Update (June 09, 2022)
The deadline for abstract submission to the PDADS 2022 Workshop has been extended to June 17, 2022 (AoE). For information on PDADS 2022, please visit: https://www.csm.ornl.gov/workshops/PDADS2022/index.html .
The organizers of PDADS 2022 are also excited to inform you that extended versions of select papers from the PDADS workshop will be invited for peer-reviewed publication in a Special Issue of the Journal of Parallel and Distributed Computing (JPDC) on Systems and Decision Sciences. Publication timeline for this Special Issue will be announced shortly.
IMPORTANT DATES
- Paper Abstract Deadline: June 17, 2022 (AoE)
- Full Paper Submission Deadline: June 17, 2022 (AoE) (no extension)
- Author Notification: July 1, 2022 (AoE)
- Camera-Ready Deadline: July 11, 2022 (AoE)
- Workshop: August 29, 2022
Submission Guidelines
This workshop will focus on R&D efforts in cross-cutting areas at the intersection of algorithms research, computational sciences, decision sciences and optimization. Both regular papers as well as short position papers describing work-in-progress with innovative ideas related to the workshop topics are being solicited. Topics of interest include, but are not limited to:
* Parallel algorithms for integer/mixed-integer programming, linear/nonlinear programming, stochastic programming, robust optimization, combinatorial optimization, feasibility problems (SAT, CP, etc.).
* Parallel heuristic and meta-heuristic algorithms.
* Parallel evolutionary algorithms, swarm intelligence, ant colonies, other.
* Parallel local and complete search methods.
* Learning approaches for optimization in parallel and distributed environments.
* Parallel and distributed approaches for parameter tuning, simulation-based optimization, and black box optimization.
* Parallel algorithm portfolios.
* Quantum optimization algorithms.
* Use of randomization techniques for scalable decision support systems.
* Application of decision support systems on novel computing platforms (shared/distributed memory, edge devices, cloud platforms, field programable gate arrays, quantum computers, etc.).
* Use of parallel computing for timely and/or higher quality decision support.
* Theoretical analysis of convergence and/or complexity of parallel optimization algorithms and decision support systems.
* Optimization techniques in machine learning, such as high-performance first and higher order iterative optimization algorithms for minimizing loss and optimizing weight and bias tensors.
* Application-centric manuscripts involving optimizations for decision-making capabilities in systems such as logistics, transportation and urban planning, public health, manufacturing, energy (e.g., electric grids), digital twin systems (e.g., precision agriculture, smart cities, earth systems), operations management, finance and other areas are especially encouraged.
Committees
Program Committee
- Mihai Anitescu, Argonne National Laboratory
- Carlos Ansótegui, Universitat de Lleida
- Philippe Codognet, CNRS / Sorbonne University / University of Tokyo
- Mark Coletti, Oak Ridge National Laboratory
- Ted Ralphs, Lehigh University
- Kevin Tierney, University of Bielefeld
- Markus Wagner , The University of Adelaide
Organizing committee
- Sudip K. Seal, Oak Ridge National Laboratory
- Yan Liu, Oak Ridge National Laboratory
- Meinolf Sellman, Shopify
- Jim Ostrowski, Universoty of Tennessee
Publication
The Second PDADS-2022 Workshop Proceedings will be published as a separate volume along with the ICPP 2022 conference proceedings. More details coming soon!
Venue
The conference will be held in Bordeaux, France. More details coming soon!
Contact
All questions about submissions should be emailed to yanliu@ornl.gov or sealsk@ornl.gov