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 

• 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: 

• 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, Continuing.

Performance Evaluation of TPC-C Benchmark on Various Cloud Providers Improving Rider Safety Using QR Code & Fingerprint Biometrics

• 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: 

• 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, Continuing.

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,"