Students

I have got a chance to meet and advise some of the best students. Here are them:

Current Students

    • Kshitiz Aryal (Expected PhD Fall 2024)

    • Tanjila Mawla (Expected PhD Fall 2024)

    • Lopamudra Praharaj (Expected PhD Spring 2025)

    • Pallavi Zambare (Expected PhD Spring 2025)

    • Daniel Simpson (Expected MS Spring 2023)

    • Elena Becker (Expected MS Spring 2023)

    • Jessica E Baugh (Expected MS Spring 2024)

    • Hayden Keller (Expected MS Spring 2024)

    • Quincy Card (Expected MS Spring 2024)

Past Graduate Students

  • Austin M Brown (MS Summer 2022)

Thesis: Automated Machine Learning for Malware Detection with Deep Learning

First Employer: Department of Defense

  • Philip A Brown (MS Summer 2022)

Thesis: Online Malware Classification with System-Wide System Calls in the Cloud

First Employer: Department of Defense

  • Jeffrey C Kimmel (MS Spring 2022)

Thesis: Analyzing and Explaining Machine Learning based Online Malware Detection in Cloud

First Employer: Oak Ridge National Laboratory

  • Sina Sontowski (MS Spring 2022)

Thesis: Exploration and Detection of Denial-of-Service Attacks on Cyber-Physical Systems

First Employer: Los Alamos National Laboratory

  • Mary A Adkisson (MS Spring 2022)

Thesis: Detection and Classification of Polyglot Files Using Machine Learning

First Employer: Sandia National Laboratory

  • Andrew D McDole (MS Spring 2021)

Thesis: Analyzing Online Behavioral Malware Detection in Cloud using Convolutional Neural Networks

First Employer: Federal Bureau of Investigation

Past Undergraduate Students

  • Arvin Sanchez

  • Glen Cathey (BS Summer 2022)

  • Thanh Pham Kim (BS Spring 2021)

  • Jacob Strikler (BS Spring 2021)

  • Marlana Hatcher