Graduate Student Committees (Chair)

Ph.D. Dissertation Chair:

• Raju Dhakal, PhD in Electrical Engineering and Computer Science, ERAU (2022- Present)

Dissertation Title: "UAV Security Leveraging the Physical Layer Approach"

• Bhawana Poudel, PhD in Electrical Engineering and Computer Science, ERAU (2024- Present)

Dissertation Title: "GPS Spoofing Detection and Mitigation Using Machine Learning Approaches"

• Kayla Taylor, PhD in Electrical Engineering and Computer Science, ERAU (2024- Present)

Dissertation Title:  "ML/AI based Design and Monitoring of Algae Blooms in Florida"

M.S. Thesis Chair:

• Jeremiah Webb, M.S. in Cybersecurity Engineering ( Graduated Spring 2025)

Thesis Title: ''Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms”.

• Prachi Choudhary, M.S. in Software Engineering ( Graduated Fall 2024)

Thesis Title: "Performance Evaluation of Routing Protocols and implementation of ML based energy efficient routing protocols for UAV-Assisted Post-Disaster Communication Networks "

• Norah Ondus, M.S. in Cybersecurity Engineering (Graduated Fall 2021)

Thesis Title: "RF Fingerprinting of UAVs"

• Jameel Alsulami, M.S. in Cybersecurity Engineering (Graduated Spring 2021)

Thesis Title: "Towards a Federated Identity and Access Management Across Universities"

• Hashim H. Alneami, M.S. in Cybersecurity Engineering, (Graduated Spring 2021)

Thesis Title: "A Framework to Detect the Susceptibility of Employees to Social Engineering Attacks"

Graduate Student Committees (Member)

M.S Thesis Member

• Micah Parrilla (Expected Graduation Spring 2026)

Thesis Title:“Study of Output and Behavior of LLMs using Confidence Framing in Prompt Engineering

• Thomas J Neubert (Expected Graduation Spring 2026)

Thesis Title:“Cybersecurity Risks and Defense Stratergies for ML-Powered Future Autonomous Weapon Systems”

• Kanchon Gharami (Graduated Summer 2025)

Thesis Title: ''In the Shadow of Prompts: Adversarial Attacks and Model Cloning in Large Language Models"

• Luke Newcomb (Graduated Spring 2025)

Thesis Title: ''Applying Natural Language Processing to Software Verification"

• Alberto Squatrito (Graduated Spring 2024)

Thesis Title: “Machine-Learning Based Strategies to GPS Spoofing Detection”

• Sarah Reynolds (Graduated Fall 2023)

Thesis Title: “A System for the Detection of Adversarial Attacks in Computer     Vision via Performance Metrics”

Ph.D. Dissertation Committee Member:

• Juan Ortiz Couder (Expected Graduation Fall 2025)

Dissertation Title: ''Generating and Validating Digital Signatures through Machine Learning”

• Ian C. Guzman (Expected Graduation Fall 2025)

Dissertation Title: ''Classification of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems Using Deep Learning"

• Quentin Goss (Expected Graduation Fall 2025)

Dissertation Title: ''A Complete Scenario-Based Testing Framework for the Exploration and Exploitation of Autonomous Vehicle Validation Scenarios"

• Ural Ozgur (Expected Graduation Fall 2025)

Dissertation Title: “Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Model Watermarking Techniques” 

• Faisal Alrefaei (Graduated Spring 2024)

Dissertation Title: "Machine Learning for Intrusion Detection in the 6G UAV Flying Base Stations "

• Shashi Bhushan Jha (Graduated Summer 2023)

Dissertation Title: "Deep CNN-Based Automated Optical Inspection for Aerospace Components” 

• Anna Baron Garcia (Graduated Fall 2022)

Dissertation Title: “Machine Learning and Artificial Intelligence Methods for Anomaly Detection in the Aviation Cybersecurity Ecosystem” 

• Noemi Miguelez Gomez (Graduated Fall 2022)

Dissertation Title: “Physical-Layer Security Enhancement of Wireless Communications Systems Using Antenna-based RF Fingerprinting Techniques” 

• Jessica Steinmann (Graduated Fall 2022)

Dissertation Title: “Supporting the Discovery, Reuse, and Validation of Cybersecurity Requirements at the Early Stages of the Software Development Lifecycle” 

Graduate Research Project (GRP)

• Sahithi Angara (Graduated Spring 2025)

GRP Title: “Systems Engineering Principles for the Modern Smart Grid: DER Integration and Cybersecurity Perspective” 

Oral Ph.D. Qualifying Exam Committee (Member)

• Kuba Sakurako, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Fall 2024

• Raju Dhakal, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Spring 2023

• Sarah Reynolds, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Spring 2023

• Lynn-Vonder Haar, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Spring 2023

• Sam LeBlanc, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Spring 2022

• Quentin Goss, Qualifier for Ph.D. in Electrical Engineering and Computer Science, Spring 2021