Graduate Committee Service

Graduate Committee Chair

• Quentin Goss, PhD in Electrical Engineering and Computer Science, ERAU, Continuing
  Topic: Validation and Verification of Autonomous Cyber-Physical Systems

• Rajagopal Sugumar, PhD Student in Electrical Engineering and Computer Science
  Topic: Urban Air Mobility Modeling & Simulation

• John M. Thompson, PhD  Student in Electrical Engineering and Computer Science

Topic: Boundary Exploration and Adherence to Find Performance Modes of Complex Systems

• Jose Alejandro Gonzalez, PhD Student in Electrical Engineering and Computer Science
  Topic: Simulation-to-Real Gap and Improvement of Learning Based Autonomous Systems 

• Sakurako Kuba, PhD Student in Electrical Engineering and Computer Science
  Topic: Modeling & Simulation for Advanced Air Mobility Analysis 

• Liz Bosch, M.S. in Systems Engineering
  Topic: Integrating AI in Human Spaceflight: A Systems Safety Engineering Approach

• James Isaac Kay, M.S. in Electrical Engineering and Computer Science
  Topic: Leveraging Mobile Computer Vision and Machine Learning for License Plate Recognition in Amber and Silver Alert Scenarios

• Spoorti Nanjamma, M.S. in Systems Engineering
  Topic: An Exploration of Embedding Biologically Inspired Design into the Systems Engineering Lifecycle Stages for Student Satellite Projects

• Jesse Slager, M.S. in Electrical Engineering and Computer Science, Fall 2025
  Project: Neuroevolution of Graph-Embedded Neural Networks for Network Intrusion Detection

• Annamaria Summer, MS in Software Engineering, Spring 2025
  Project:  CARLOS: A Low-Fidelity Open-Source Driving Simulator for Algorithm Testing

• Michael Allen, MS in Sytems Engineering, Spring 2025
  Topic: A Novel Graph-Theoretic Approach to Modeling Polygonal Molecular Structures for Machine Learning Applications in Material Science

• Maja Issler, MS in Electrical and Computer Engineering, Spring 2024
  Project: Quantification Method to Evaluate the Complexity of Driving Scenarios Based on Information Entropy

• Jose Alejandro Gonzalez, MS in Electrical and Computer Engineering, Fall 2023
  Project: Crowdsensing-Based Multi-Agent Data Collection and Aerial-Terrestrial Hybrid Route Determination for Three Dimensional Urban Environments 

• John Thompson, M.S. in Software Engineering, Summer 2023

Thesis: Search Space Exploration of Multidimensional Boundaries through Adherence Strategies (SEMBAS) for the Verification of Black Box Systems

• Ilke Kutlu, MS in Electrical Engineering at Istanbul Technical University (co-advised), Summer 2023
  Thesis: Accident Data Analysis for Formal Scenario Generation and Traffic Simulation

• Neeraj Naik, M.S. in Electrical and Computer Engineering, Spring 2023
  Project: Utilization of Monte Carlo Tree Search for Validation

• Elijah Keck, M.S. in Software Engineering, Spring 2023
  Project: Finding Critical Areas of Concern for sUAS Collision Avoidance 

• Nathan Rose, M.S. in Electrical and Computer Engineering, Spring 2022
  Project: Publish-Subscribe Communication in a Low Resource Environment

• Dhruvil Bhupatbhai, M.S. in Electrical and Computer Engineering, Spring 2022
  Project: Tightly Couple Dipole Array Design Optimization By Using Machine Learning Approach

• Luis Oseguada, MS in Electrical and Computer Engineering, Fall 2021
  Project: Using Agent-Based Simulation to Evaluate Collision Avoidance in UAS Swarms

• John Borum, MS in Electrical and Computer Engineering, Fall 2021
  Project: A Review of Acoustic Energy Harvesting Techniques and Applications

• Alex Bassett, MS in Computer Engineering, ERAU, Spring 2021
  Thesis: A Comprehensive Mapping and Real-World Evaluation of Multi-Object Tracking on Automated Vehicles

• Andrew Ferree, MS in Mechanical Engineering, ERAU, Spring 2021
  Topic: Automated Scenario Generation Using Halton Sequences for the Verification of Autonomous Vehicle Behavior in Simulation

• Mohammed Eleffendi, MS in Electrical Engineering and Computer Science, Spring 2021
  Topic: Using Reinforcement Learning to Generate Scenarios for Autonomous Vehicle Testing

• Christopher Medrano-Berumen, MS in Computer Science, FPU, Spring 2020
  Topic: Verification of Autonomous Vehicles Using Modeling and Simulation

• Quentin Goss, MS in Computer Science, FPU, Spring 2020
  Topic: Dynamic Mechanisms for Mobile Crowdsourcing with Autonomous Vehicles 

• Mert Aydin, MS in Innovation & Technology in Big Data Analytics, FPU, Spring 2018
  Thesis: Identification of Autonomous Vehicle Test Scenarios Using Fatal Traffic Accident Data

• Faezeh Haghighat Mesbahi , MS in Engineering, FPU, Spring 2018
  Thesis: Quality of Service Protocol for Traffic Management in Vehicular Ad-Hoc Networks 

Graduate Committee Member

Ph. D. Dissertation: 

• Spoorti Nanjamma, M.S. in Systems Engineering, ERAU,  Spring 2026
  Investigating the Use of Biologically Inspired Design Tools in a Student CubeSat Design Team Through Workshop User Experiences

• Roberto Cuellar, Ph.D. in Aerospace Engineering
  Exploring Reinforcement Learning for Robust Low-Thrust and Interplanetary Trajectories

• Daniel R. Duran, Ph.D. in Electrical Engineering and Computer Science, ERAU, Continuing.
  Improving Urban Search and Rescue Team Coordination Through Adaptive Context Awareness

• Seng Loong (Hanson) Yu, Ph.D. in Electrical Engineering and Computer Science, ERAU, 2022.
  Advanced Manufacturing and Dielectric Characterization Techniques for High Temperature Materials for mm-Wave Antenna

• Carlos Mejias, Ph.D. in Electrical Engineering and Computer Science, ERAU, 2022.
  Additively Manufactured Wireless Passive Devices for Communication Systems in Extreme Environments

• Raghu Nandan Avula, Ph.D. in Computer Engineering, UCF, 2026.
  Restoring Digital Trust: Decentralized Frameworks for Identity, Consent, and Media Provenance

• Ehsan Malayjerdi, Ph.D. in Mechanical and Industrial Engineering, Tallinn University of Technology (TalTech), 2022.
  Advanced Autonomous Vehicle’s Functions for Safety Improvements in Urban Mobility Context

• Henriette Schoen, Ph.D. in Industrial Engineering and Management Systems, UCF, 2018.
  Modeling the Innovation Ecosystem and Development of a Dynamic Innovation Index

• Konstantinos Mykoniatis, Ph.D. in Modeling and Simulation, Institute for Simulation and Training, UCF, 2015.
  A Generic Framework For Multi-Method Modeling And Simulation Of Complex Systems Using Discrete Event, System Dynamics And Agent Based Approaches

Ph. D. Qualifying Committee: 

• Conrad Prisby, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2026.

• Shital Pandey, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2026.

• Sina Jamshidi, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2025.

• Alejandro Gonzalez, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2025.

• John Thompspn,  Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2024.

• Blake Roberts, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2023.

• Rajagopal Sugumar, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2023.

• Gurvir K. Bawa, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2022.

• Ozgur Ural, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2022.

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

• Anna B. Garcia, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2020.

• Noemi Miguelez, Qualifier for Ph.D. in Electrical Engineering and Computer Science, 2020.

M. S. Thesis: 

• John O'Keefe, MS in Electrical Engineering and Computer Science, ERAU, 2023.
  Thesis title: Optically Clear ITO Antennas for Space Applications

• Justin Parkhurst, MS in Electrical Engineering and Computer Science, ERAU, 2022.
  A Design Flow for Additively Manufactured 3D Metasurface Antennas​.

• Fadjimata Issoufou Anaroua, MS in Electrical Engineering and Computer Science, ERAU, 2022.
  Thesis title: Airspace Integration of New Entrants and Safety Risk Management Models.

• James Hendrickson, MS in Mechanical Engineering, ERAU, 2021.
  Thesis: Dynamic Task Allocation in Partially Defined Environments Using A* with Bounded Costs.

• Mohammad Ammar Bharmal, M.S. in Electrical Engineering, FPU, 2019.
  Thesis: "Game Theoretic Approach for Competing Autonomous Vehicles"

• John Cardenas, M.S. in Modeling and Simulation, Institute for Simulation and Training, UCF, 2018.
  Thesis: "Modeling the Standard and Poor's 500 Index via Moving Averages"

• Carlos Kavetsky, M.S. in Modeling and Simulation, Institute for Simulation and Training, UCF, 2017.
  Thesis: "Calibrating a System Dynamic Model Within an Integrative Framework to Test Foreign Policy Choices,"