News and Events
-
General ItemLarissa Basso awarded 2020-2021 Dean’s Diversity Assistantship from Virginia Tech Graduate School
The former U.S. Army healthcare sergeant and recent graduate of The George Washington University will pursue a master’s degree in computer science at Virginia Tech.
-
Redirect ItemInformation for graduate students related to COVID-19 , redirect
FAQs for graduate students regarding the university's COVID-19 directives.
-
Redirect ItemStay connected on the latest updates about the Innovation Campus. , redirect
The first academic building for Virginia Tech’s Innovation Campus in Alexandria features a design centered on the principles of sustainability, health and wellness, green and social spaces, accessibility, connectivity, flexibility and integrated technology.
-
Redirect ItemNew master's degree for Innovation Campus , redirect
The master’s of engineering degree in computer science is designed to prepare graduates for mid-level and advanced positions in industries related to computing technology.
-
Article ItemSeminar: Inference of Mechanical Properties of Cloth from Videos: Human Vision and Machine Learning. , article
Date: Friday, May 3, 2019 Time: 12:30pm - 1:30pm Location: Room T3 (NVC)
-
Article ItemSeminar: Moving off the blockchain: a payment hub for fast, anonymous off-chain Bitcoin payments , article
Date: Friday, January 25, 2019 Time: 1:00pm - 2:00pm Location: Room T3 (NVC)
-
Article ItemSeminar: Real News and Fake Photos: Towards Usable Privacy for Journalism and Photo Sharing , article
Date: Friday, March 29, 2019 Time: 12:30pm - 1:30pm Location: Room 323 (NVC)
-
Article ItemSeminar: Learning to Reason: Accelerating System Security through joint Statistical and Formal Learning , article
Date: Friday, April 5, 2019 Time: 2:00pm - 3:00pm Location: Room T3 (NVC)
-
Article ItemSeminar: Using Semi-Supervised Learning of Exploits and Exploit Kits (SLEEK) for Flow-Based Network Intrusion Detection. , article
Date: Friday, March 1, 2019 Time: 1:00pm - 2:00pm Location: Room T3 (NVC)
-
Article ItemSeminar: Using Semi-Supervised Learning of Exploits and Exploit Kits (SLEEK) for Flow-Based Network Intrusion Detection. , article
Date: Friday, March 1, 2019 Time: 1:00pm - 2:00pm Location: Room T3 (NVC)
-
Article ItemSeminar: Using Semi-Supervised Learning of Exploits and Exploit Kits (SLEEK) for Flow-Based Network Intrusion Detection. , article
Date: Friday, March 1, 2019 Time: 1:00pm - 2:00pm Location: Room T3 (NVC)
-
Article ItemSeminar: WEBTRAP: A Dynamic Defense Scheme Against Economic Denial of Sustainability Attacks. , article
Date: Friday, April 26, 2019 Time: 1:00pm - 2:00pm Location: Room T3 (NVC)
Page 2 of 3 | 26 Results