Mechanical Engineering Ph D

Hamed Faghihian

Ph.D. Candidate in Mechanical Engineering

*****.*********@*****.*** +1-813-***-****

https://www.linkedin.com/in/hamfa/ Google Scholar Summary

• Ph.D. candidate in Mechanical Engineering with a strong research foundation in Connected and Autonomous Ve- hicles (CAV), focusing on energy-efficient control strategies.

• Experience with SiL, HiL, and ViL testing, sensor integration (LiDAR, radar, GNSS), and vehicle communication systems for ADAS.

• Experienced in cross-disciplinary research integrating vehicle dynamics, control systems, and intelligent transporta- tion technologies for next-generation electrified mobility.

• Proficient in MATLAB, Simulink, LabVIEW, and Ansys; Well-experienced in CAD (CATIA V5) competent in Python, CarSim, IPG CarMaker, SolidWorks, MSC Adams, and Abaqus. Research Interests

Energy-Efficient Connected Autonomous Vehicles (CAVs), Reinforcement Learning for Vehicle Control, Regenerative Braking Systems, Intelligent Transportation Systems, Vehicle Dynamics, Electrified Transit Systems. Education

Ph.D., Mechanical Engineering (GPA: 4.0/4.0) Aug.2022 - Dec.2025 (Expected) University of South Florida (USF) Tampa, FL

Dissertation: Energy Efficiency in Connected Autonomous Vehicles Advisor: Dr. Arman Sargolzaei

M.Sc., Mechanical Engineering Aug.2022 - Dec.2024

University of South Florida (USF) Tampa, FL

M.Sc., Automotive Engineering Sep.2013 - Sep.2015

Dissertation: Optimum suspension system design based on platform for product family of vehicles Iran University of Science and Technology (IUST) Tehran, IR B.Sc., Mechanical Engineering Sep.2008 - Jan.2013

Isfahan University of Technology (IUT) Isfahan, IR Awards

• Dissertation Completion Fellowship, University of South Florida, 2025

• NSF I-Corps Participant, National Science Foundation, 2024

• Travel Grants, University of South Florida, 2024–2025

• Finalist, IEEE-HKN SoutheastCon, 2024

• Best Poster Award, Florida Automated Vehicles (FAV) Summit, 2023

• Top 0.2% Rank, National University Entrance Exam, Iran, 2008 Experiences

Research Assistant — USF, Dept. of Mechanical Engineering, RANCS Lab 2022–Present

• Led research on energy-efficient braking and adaptive cruise control systems for autonomous electric vehicles.

• Contributed to intersection safety protocols and autonomous bus driving system development.

• Authored publications on energy-efficient control algorithms with significant efficiency improvements.

• Guided engineering students in laboratory experiments and practical applications of control theory. Teaching Assistant — USF, Dept. of Mechanical Engineering 2022–Present 1. Mechanical Engineering Lab II – Guided students in lab experiments and assignments. 2. Kinematics and Dynamics of Machinery 3. Computational Methods

Lecturer — Azad University, 2015–2022

• Taught courses on Electrical Systems, Engineering Software, and Power Generating Systems, leading hands-on projects tied to real-world automotive challenges. Mechanical Design Engineer (Consultant) 2018–2020

• Performed FEM-based (ANSYS, Abaqus) and multi-body dynamics software (Nastran, ADAMS) for the mechanical design of amusement rides, safety, structure, fatigue.

• Collaborated with manufacturing teams to ensure design feasibility within production constraints. Publications

Book Chapter

1. Faghihian, Hamed, James Holland, and Arman Sargolzaei. “Introduction to autonomous vehicles.” In Handbook of Power Electronics in Autonomous and Electric Vehicles, Elsevier, 2024, pp. 1–16. Journal Papers

1. Faghihian, H, and Sargolzaei, A. “A novel energy-efficient automated regenerative braking system.” Applied Energy, 390, 125747, 2025.

2. Faghihian, H, Ansari Bonab, P., and Sargolzaei, A. “An Energy-Efficient Lyapunov-Based Cooperative Adaptive Cruise Controller for Electric Vehicles.” IEEE Transactions on Intelligent Transportation Systems, 2025. (under revision)

3. Faghihian, H, and Sargolzaei, A. “Predicting Regenerative Efficiency of Electric Buses Using Shift-Level Operational Data.” (To be submitted to Journal of operational management), 2025. 4. Faghihian, H, and Sargolzaei, A. “An Energy-Efficient Control Design for Automated Electric Vehicles with Un- known Dynamics.” IEEE Transactions on Vehicular Technology, 2025. (under revision) 5. Faghihian, H, and Sargolzaei, A. “Energy efficiency of connected autonomous vehicles: A review.” Electronics, 12(19), 4086, 2023.

6. Shojaeefard, M. H., Khalkhali, A., Faghihian, H., and Dahmardeh, M. “Optimal platform design using non- dominated sorting genetic algorithm II and technique for order of preference by similarity to ideal solution; appli- cation to automotive suspension system.” Engineering Optimization, 50(3), pp. 471–482, 2018. 7. Esmaeili, A., Kupaei, M. A., Faghihian, H., and Mirdamadi, H. R. “An adaptable broadband MEMS vibratory gyroscope by simultaneous optimization of robustness and sensitivity parameters.” Sensors and Actuators A: Physical, 206, pp. 132–137, 2014.

Conference Papers

1. H. Faghihian, P. Ansari Bonab, A. Sargolzaei. “A Lyapunov-Based Cooperative Adaptive Cruise Control Improving Electric Vehicles Energy Efficiency.” IEEE American Control Conference (ACC), 2025. Denver, Co. USA 2. H. Faghihian, S. Ozkul, A. Sargolzaei. “Comparative Analysis of Human Braking Behavior and Automated Re- generative Braking Systems in Electric Vehicles.” IEEE SoutheastCon, 2025. Charlotte, NC. USA 3. H. Faghihian, M. Sarkar, A. Sargolzaei. “A Novel Energy-Efficient Regenerative Braking System for Electric Vehicles.” IEEE SoutheastCon, 2024. (Finalist for Best Paper Award) Atlanta, Ga. USA 4. H. Faghihian, A. Sargolzaei. “Eco-Regen, A CAV based regenerative braking controller to enhance total energy recaptured in EVs” 2024 FAV Summit, Poster presentation, September 2024. Opole, Poland 5. H. Faghihian, P. Ansari Bonab, A. Sargolzaei. “A Lyapunov-Based Cooperative Adaptive Cruise Control.” 2023 FAV Summit, Poster presentation, September 2023. (Best Poster Award) Tampa, Fl. USA 6. M. Aghanouri, M. Habibollahi, A. Esmaeili, H. Faghihian, M. Koloushani.“Optimization of robotic manipulators parameters modeled with integrated equations of actuators and links.” Electrodynamic and Mechatronic Systems, IEEE, 2011.

7. H. Faghihian, and A. Shokouhandeh. “Kuka robotic manipulator path tracking control using adaptive-Fractional Order PID controller by adjusting orders with fuzzy logic controller.” Electrodynamic and Mechatronic Systems, IEEE National Conference of Mechanical and Aerospace Engineering, Tehran, Iran, 2021. Tehran, Iran Patents

1. Hamed Faghihian, Arman Sargolzaei. “Automatic Regenerative Braking System.” US Patent Provisional #65523717, 2024. (non-Provisional under review)

2. Hamed Faghihian, Ali Shokouhandeh. “Sensor Positioning Mechanism for Aerodynamics Tests of Wind Tunnel with Three Axes of Motion and Strap Leak Sealing System.” Registered in Iran, Patent #139350140003012324, February 2015.

Technical Skills

FEM/FEA: Ansys, Nastran, Adams

CAD: CATIA V5, SolidWorks, AutoCAD

Simulation: MATLAB/Simulink

AV/ADAS: CAV/ADAS sensor setup, ViL/HiL test procedures, controller design and implementation for AV. Documentation: FMEA, SDS, Design Reports

Student Supervision and Mentorship

• Mentored undergraduate students (e.g., Maitreyi Sarkar, Abhi Soundararajan, Sofia Morales Ferreira, Daniel Gula) on research projects.

• Assisted students with senior capstone design projects through technical guidance and feedback.

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