Dr. Veronica Austin

Associate Professor of Computer Science at Harvard

San Francisco, California, United States of America

About

Dr. Veronica Austin is an Associate Professor of Computer Science at Harvard, where she specializes in the design and analysis of algorithms and data structures. She has received both a Master of Arts in Computer Science from Harvard and a Ph.D in Computer Science from Carnegie Mellon. Dr. Austin has published extensively in the field of computer science, and her research has been funded by the National Science Foundation, the Department of Defense, and the Harvard School of Engineering and Applied Sciences.

Publications

Exploring the Use of Artificial Intelligence in Autonomous Vehicles

International Journal of Computer Science and Artificial Intelligence

2023

Design and Performance Evaluation of Distributed Database Systems

IEEE Transactions on Parallel and Distributed Systems

2022

An Overview of Network Security and Cryptography

Computer Science & Security Review

2021

The Impact of Machine Learning on Natural Language Processing

ACM Transactions on Computer Science

2020

A Survey of Deep Learning Techniques for Computer Vision

ACM Computing Surveys

2019

Optimizing Big Data Processing Using Cloud Computing

IEEE Cloud Computing Magazine

2018

Education

Harvard

Master of Arts, Computer Science / November, 2013

Carnegie Mellon

Ph.D, Computer Science / July, 2020

Experience

Harvard

Associate Professor of Computer Science / September, 2020 — Present

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