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With my brothers...

Philip A. Wilsey
Professor
High Performance Computing Lab
Dept of Electrical Engineering and Computer Science
College of Engineering and Applied Sciences
P.O. Box 210030
University of Cincinnati
Cincinnati, Ohio 45221-0030
Phone:
Fax:
Email:
ORCID:
(513)-556-4779
(513)-556-7326
wilseypa@gmail.com
0000-0002-6562-8646

My research is primarily in High Performance Computing with applications to Data Science and Parallel Discrete-Event Simulation. I also have interests in Privacy Preserving Data Mining, Embedded Systems, and Point-of-Care medical devices. I have been working with Partitioning, Parallelism, and Approximate Methods to improve the performance of Topological Data Analysis (TDA), specifically persistent homology. Because the TDA algorithms have exponential time and space complexity, decomposing and partitioning the data into regional subspaces has dramatic impact on the overall performance. In Big Data Clustering, I have been working to combine random projection hashing with locality sensitive hashing to implement high-performance, distributed privacy preserving data mining. The projection and hashing approach permits us to perform clustering on distributed data sets by exchanging only hash keys between the distributed nodes. We are promoting these techniques to enable clustering and nearest neighbor search across HIPAA protected medical databases. In addition, I have been working extensively for many years to advance the field of Parallel and Distributed Simulation (PDES) using the Time Warp mechanism. Most recently we have been studying the design of solutions for the pending event set problem for high performance simulation on multi-core and many-core platforms. I have also initiated studies to extract profile data from discrete event simulation models to obtain quantitative data that I plan to use to focus my algorithm development for parallel simulation. Finally, I sometimes work with the local BioSensors group and the College of Medicine to develop point-of-care medical devices to assist patient monitoring, diagnosis, and treatment.

Nearly all of our research software is released under some open source license. I generally host the software repositories for my experiments as public repositories on https://github.com/wilseypa. I welcome any review and comment of the codes and ideas presented therein. Thank you.