Employing Software and Hardware Towards Solving Scientific Problems Dr. Oren Segal
Department of Computer Science
Hardware Related Research Interests Parallel Heterogeneous Architectures, Domain Specific Architectures, Machine Learning (ML) Hardware Accelerators
Software Related Research Interests Parallel Algorithms, Software Acceleration Through Parallelism, Evolutionary Algorithms and ML
Evolutionary Cell Aided Design (ECAD)
Fetal Weight Estimation using Neural Networks (FWENN)
Automated Hardware/Neural Network Architecture (NNA) co-design of machine learning accelerators using multiobjective Neural Architecture Search (NAS). A collaboration with Dr. Philip Colangelo (Intel PSG) and Dr. Martin Margala (UML). Student Researchers: Alexander Speicher. Publication: Colangelo P, Segal O, Speicher A, Margala M. Artificial neural network and accelerator co-design using evolutionary algorithms. In 2019 IEEE High Performance Extreme Computing Conference (HPEC) 2019 Sep 24 (pp. 1-8). IEEE.
Design of an artificial neural network capable of state-of-the-art Fetal weight estimation. A collaboration with Dr. Andrew Rausch and Dr. Burton Rochelson (Northwell Health) Student Researchers: Alexander Speicher, Daniel Dimijian. Publication: Speicher, A., Dimijian, D., Rauch, A., Segal, O. (2020). Fetal Weight Estimation using Neural Networks American Institute of Ultrasound in Medicine (AIUM). (Oral Abstract Presentation)
Distributed Computing of Association Rules (D-basis)
Develop a new approach for distributed computing of the association rules of high confidence on the attributes/columns of a binary table. A collaboration with Dr. Kira Adaricheva, Dr. JB Nation and Dr. Robert Lucito. Visual learning curves for American sign language Student Researchers: Justin Cabot-Miller. (ASL) alphabet Publications: Oren Segal, Justin Cabot-Miller, Kira Adaricheva, James B. Nation, and Anuar Sharafudinov. "The bases of association rules of high Identify the visual key areas when learning the ASL alphabet. A confidence." arXiv preprint arXiv:1808.01703 (2018). collaboration with Dr. Salvador Rojas-Murillo. Nation JB, Cabot-Miller J, Segal O, Lucito R, Adaricheva K. Combining Student Researchers: Alyssa B. Pancho, Michael J. Cariaso, Algorithms to Find Signatures That Predict Risk in Early-Stage Stomach Alexander Speicher, Alejandro Mato. Publication: Rojas-Murillo, Salvador, Alyssa B. Pancho, Michael J. Cancer. Journal of Computational Biology. 2021 Sep 28. Cariaso, Alexander Speicher, Alejandro Mato, and Oren Segal. "Visual learning curves for American sign language (ASL) alphabet." International Journal of Industrial Ergonomics 81 (2021): 103027.