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Anshuman Razdan, PhD

Vice President for Research and Innovation

University of Oregon

Computer Science, Facial Recognition, image processing, Research

Anshuman 鈥淎R鈥 Razdan, vice president for research and innovation at the University of Oregon, was elected to the 2022 class of fellows of the National Academy of Inventors in recognition of his contributions to the field of computer science. Razdan holds four patents, including on 3-D face authentication and document exploitation as well as image processing. Razdan came to the UO in 2022 after serving as the associate vice president of research development at the University of Delaware. 

Algorithims, Data Science, image processing, Optimization, Signal Processing

Woodstock teaches applied mathematics courses, with an emphasis on how class material is used in everyday life. He specializes in optimization, and how it arises within machine learning tasks. 

His research focuses on two areas, developing new algorithms to solve modern challenges in data science and mathematically proving that these new algorithms are guaranteed to do their job. His work has been used for image reconstruction, audio de-noising and change detection from bitemporal satellite imagery.

A goal of providing these mathematical guarantees is to contribute theoretically-sound alternatives to the theoretically unfounded ad-hoc techniques (e.g., neural network training with ReLU activation and algorithmic differentiation) that are rapidly being adopted in critical infrastructure. 

Woodstock earned a bachelor's degree in mathematics at JMU, a master's degree in applied mathematics at North Carolina State University and a doctorate in mathematics at North Carolina State University. Before joining JMU as faculty, he was a postdoctoral staff scientist at the Interactive Optimization and Learning Laboratory based in Technische Universität Berlin and the Zuse Institute Berlin.

image processing, Satellite Imagery

Bortolot teaches courses on processing satellite and aerial imagery, physical geography and forest measurements. 

His research focuses on using satellite and aerial imagery for urban and environmental mapping and for humanitarian applications. Recent research projects include developing a computer-based method for colorizing historical black and white aerial images, assisting a non-profit organization in Haiti estimate coral, mangrove, and sea grass area in proposed marine management areas, and creating a novel computer algorithm for searching large images for features of interest. 

Bortolot earned a bachelor's degree in geological sciences at Brown University, a master's degree in forest resources management at the University of British Columbia and a doctorate in forestry at Virginia Tech.

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