High-Performance Computing Simulation and Data Science - 2022

Project Title	Project Code	Principal Investigator	Project Type	Project Status
Probabilistic Models for Dynamic Hypergraphs with Content	20-ERD-049	Grant Boquet	Exploratory Research	Final
Knowledge-Driven Machine Learning	21-ERD-012	Jayaraman Jayaraman Thiagarajan	Exploratory Research	Continuing
Achieving Peak Performance of High-Performance Computing Applications by Optimizing Parallelism Compilation	21-ERD-018	Giorgis Georgakoudis	Exploratory Research	Continuing
Decentralized Autonomous Networks for Cooperative Estimation	20-SI-005	Ryan Goldhahn	Strategic Initiative	Final
Robust Control of Scientific Simulations with Deep Reinforcement Learning	21-SI-001	Daniel Faissol	Strategic Initiative	Continuing
Automated Software Integration	21-SI-005	George Gamblin	Strategic Initiative	Continuing
Decision Superiority	22-SI-001	Daniel Merl	Strategic Initiative	Continuing
Autonomous MultiScale: Embedded Machine Learning for Smart Simulations	22-SI-004	Peer-Timo Bremer	Strategic Initiative	Continuing
Hierarchical, Multimodel, Multiscale Parallel-In-Time	22-FS-029	Paul Tranquilli	Feasibility Study	Final
Deep Facial Representation for Quantification of Emotion Dynamics	22-FS-032	Piyush Karande	Feasibility Study	Final
Learning a Nonlinear Solver Optimized to Solve the Problem of Electron Density and Effective Atomic Number Reconstruction	21-FS-013	Kadri Aditya Mohan	Feasibility Study	Final
Efficient High-Frequency Time-Harmonic Wave Propagation Solvers Using Discontinuous Petrov-Galerkin Methods	22-FS-009	Socratis Petrides	Feasibility Study	Final
Zeroth-Order Machine Learning for Flexible Integration of Domain Knowledge	22-FS-019	James Diffenderfer	Feasibility Study	Final
Virtual Inspections: Fast and Intuitive Inspections of Manufactured Parts in Virtual Reality	22-FS-026	Haichao Miao	Feasibility Study	Final