I have got a chance to meet and advise some of the best students. Here are them:
Pradip Kunwar (PhD, Fall 2023 - Present)
Shovan Roy (PhD, Spring 2025 - Present)
Jestus Sahay (PhD, Fall 2025 - Present)
Seif Ikbareih (Expected MS Fall 2025)
Andrew Wheeler (Expected MS Spring 2026)
Samuel Howard (Expected MS Fall 2026)
Om Solanki (Expected MS Summer 2026)
Katherine Swinea (Expected MS Fall 2026)
Ryan Thornton (Expected MS Fall 2026)
Sebjin Kennedy (Undergraduate)
Harrison Simpson (Undergraduate)
Kshitiz Aryal (PhD Summer 2025)
Dissertation: Novel Adversarial Evasion Attacks against Windows Malware Detectors
First Employer: University of Nebraska - Omaha
Lopamudra Praharaj (PhD Summer 2025)
Dissertation: Robust AI-assisted Network Anomaly Detection for Secure Cooperative Smart Farming
First Employer: University of North Carolina - Pembroke
Tanjila Mawla (PhD Spring 2025)
Dissertation: Activity-Centric Access Control for Smart and Connected Systems
First Employer: University of Wisconsin - Platteville
Ahsan Ayub (PhD Spring 2023)
Dissertation: A Data-Driven Approach for Early Detection of Cryptographic Windows Ransomware
First Employer: Vanderbilt University Medical Center
Ereny Younan (MS Fall 2024)
Project: AI-assisted Cybersecurity Gamified Experience
First Employer: Tennessee State Department
Quincy Card (MS Spring 2024)
Thesis: Explainability-Enhanced Malware Classification and Targeted Misclassification
First Employer: National Security Agency
Elena Becker (MS Fall 2023)
Thesis: Enhancing Edge IoT Digital Forensics with Machine Learning Based Cyber Attacks Classification and Reconstruction
First Employer: Department of Defense
Daniel Simpson (MS Fall 2023)
Project: Development and Dissemination of Adaptable AI-Assisted Cybersecurity Educational Modules
First Employer: Tennessee Valley Authority
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: Oak Ridge National Laboratory
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
Connor Allen
Grey Haney
Charan Kumar Akiri
Marlana Hatcher
Blaine Swieder
Yoshinori Agari
Andrew Wheeler (BS Spring 24)
Eli Parker (BS Fall 2023)
Kelsey Rainey
Arvin Sanchez (BS Fall 2022)
Jessica E Baugh (BS Spring 2023)
Hayden Keller
Glen Cathey (BS Summer 2022)
Thanh Pham Kim (BS Spring 2021)
Jacob Strikler (BS Spring 2021)
Marlana Hatcher
Pallavi Zambare