Cyber security, smart grid, power system

MOHAMMED MYNUDDIN, EIT, Ph.D.

Greensboro, NC 912-***-**** *********@*****.*** linkedin.com/in/mohammed-mynuddin-19912990 CAREER SUMMARY

I hold a Ph.D. in Electrical and Computer Engineering with a specialization in cybersecurity, and expertise in deep learning, reinforcement learning, and data analysis. My research focuses on autonomous vehicles, UAVs, connected vehicles, and smart grid systems. I also have a strong background in control theory and cybersecurity, particularly in the context of power systems and industrial automation. I am currently seeking an engineering role where I can apply my skills in power system analysis, protection, and cybersecurity.

EDUCATION

Degree University Location GPA Duration

Ph.D. in Electrical & Computer

Engineering

North Carolina A&T State University Greensboro, NC 3.88/4.00 Aug 2021 – May 2025 M.Sc. in Electrical Engineering Georgia Southern University Statesboro, GA 3.90/4.00 Aug 2018 – May 2020 B.Sc. in Electrical & Electronic

Engineering

Chittagong University of Engineering

& Technology (CUET)

CTG, Bangladesh 3.68/4.00 Apr 2007 – Nov 2011

PROFESSIONAL EXPERIENCE

North Carolina A&T State University Graduate Research Assistant August 2021 – Present

Analyzed UAV and smart grid vulnerabilities; identified key security gaps and proposed mitigation strategies.

Tested Trojan and adversarial attacks on deep learning navigation in UAVs and smart grid infrastructures.

Pioneered real-time Trojan attack studies on UAV systems to advance cybersecurity.

Installed drones and deployed deep learning models in UAV systems.

Explored collaborative training for global model development in multi-UAV systems.

Applied advanced time series and image processing in UAV and smart grid projects. University of Central Florida Graduate Research Assistant Orlando, Florida August 2020 -July 2021

Expert in traffic data analytics using statistical and machine learning techniques.

Conducted in-depth research on the analysis of real-time cameras, LiDAR, and sensor data, contributing to advancements in autonomous vehicle systems and smart city technologies.

Implemented Deep Reinforcement Learning algorithms for Traffic Signal Control using SUMO software. Georgia Southern University Graduate Teaching & Research Assistant August 2018 -May 2020

Analyzed drivers' distractions using a driving simulator, applying various machine learning tools to interpret data for the Georgia Department of Transportation (GDOT) project. TECHNICAL SKILLS

Theory: Converters Control Techniques Digital Control System Control Systems Computer Systems Design W/Lab Optical Fiber Communications Programming Language Digital Logic & Computer Design Numerical Method Electrical Machine Electronics Measurement and Instrumentation Power Transmission and Distribution of Electric Power Electrical Machine Drawing Power Electronics Power System Analysis Electric Services Design Digital Electronics Power station Switchgear and Protection Renewable Energy Conversion High Voltage Engineering PROGRAMMING & TECHNICAL SKILLS:

Programming Languages: C, Python, MATLAB/Simulink

Frameworks & Libraries: TensorFlow, PyTorch, Keras,

Software & Tools: LaTeX, MS Word, Excel, PowerPoint, Visio, AutoCAD, PSpice, Proteus, DSCH, OptiSystem, CST Studio, COMSOL Multiphysics, PSS/E, PSCAD, EMTP, ASPEN, RTDS, Opal-RT, Power World Simulator

Simulation & Design: Ansys Maxwell 3D, Windmill (Power System Design & Analysis), FPGA, Micro-controller, PCB Design (Altera Quartus II), EMB_PIC_Software, CCS, MPLAB, Orcad 9.2, Quanser QBot2

Data Analysis: Pandas, NumPy, MATLAB

Non-Technical: Good Communication Skills, Highly Teachable, Strong Creative Mind, Team Playing Skills. TECHNICAL LITERATURE

Data driven decision

Trouble shooting

Installation

Data monitoring: Realtime data collection

TRANSFERABLE SKILLS

Flexibility and versatility

Self-sufficiency and collaborativeness

Cross-team competency and professionalism

Result-driven mindset.

CERTIFICATION

Fundamentals of Engineering (FE) Electrical and Computer NCEES (Passed) January -2025

Principles and Practice of Engineering (PE) NCEES June-2025 (Registered)

Six Sigma Green Belt NCAT October-2023

Skilled in data-driven decision making and statistical analysis.

Certified Six Sigma Green Belt with expertise in DMAIC methodologies

Leadership in Engineering Acceleration Program (LEAP) NCAT Passed April- 2025 WORK EXPERIENCE UNDER FUNDED PROJECT

North Carolina A&T State University

NASA University Leadership Initiative (NASA-ULI) August 2021-May 2025

US National Science Foundation August 2021-May 2025

University of Central Florida

US Department of Transportation (FDOT) August 2020-July 2021

Georgia Southern University

US National Science Foundation August 2018-May 2019

US Department of Transportation (GDOT) June 2019-May 2020 INTERNSHIP AND TRAINING

Embedded System (Training) BUET Bangladesh April-2013

Acquired hands-on experience with FPGA development, microcontroller programming, and PCB design, to create and optimize embedded systems and electronic circuits.

Electrical Services Engineer (Intern) Training Institute for Chemical Industries (TICI) Bangladesh April 2010

● Electrical and instrumentation, automation (PLC, DCS based)

● Managed operations and assessment of power system equipment such as 11kV switchgear panels, 11kV Substation. CONFERENCE & WORKSHOP

Dominion Energy (Gather knowledge on Engineering Analytics & Modeling, Electric Transmission Planning & Strategic Initiatives, Demand Side Operations, Software tools such as PSS/E, PSCAD) VISITING EXPERIENCES:

1). Eastern Cables (Design of electrical cable). 2). GEM plant (Transformer Design process). 3). Polash Urea Fertilizer Factory Ltd. (Automation (PLC, DCS based)) 4). Thermal power station, Raojan (Power Station, Electricity Generation Process, Transmission). 5). Modunaghat 132/33 kV substation. (Substation Design, Busbar, Transmission & Distribution) 6). Karnaphuli Paper mill. (Acquired hands-on experience in automation) 7). Ghorashal Thermal Power plant. 8). 230 MW Kaptai Hydro Power Plant (Gained hands-on experience in the hydroelectric power generation process, including system operation, maintenance, and optimization.)

LEADERSHIP & ORGANIZATIONAL SKILLS

Working as an Advisor for Slum Children Education Development, Bangladesh

Solving the problem and planning and execute the plan successfully. PROFESSIONAL AFFILIATION (Work as Reviewer)

Elsevier Editorial System (EES) IEEE Transactions on Industrial Informatics TCCT Conference Paper Management System IET Journals 2022 American Control Conference IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Vehicular Technology IEEE Transactions on Control of Network Systems. LIST OF SELECTIVE PUBLICATIONS:

1. Mynuddin, M., et al. (2024). Trojan Attack And Defense for Deep Learning Based Navigation Systems of Unmanned Aerial Vehicles. IEEE Access.

2. Khan, S. U., Mynuddin, M., & Nabil, M. (2024). AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids. IEEE Transactions on Smart Grid.

3. Mynuddin, M., et al. Adversarial Attacks on Deep Learning-Based UAV Navigation Systems. In 2023 IEEE Conference on Communications and Network Security (CNS).

4. Mynuddin. M., et al. Trojan triggers for poisoning unmanned aerial vehicles navigation: A deep learning approach. In 2023 IEEE International Conference on Cyber Security and Resilience. 5. Khan, S.U., Mynuddin, M., et al. Mitigating targeted universal adversarial attacks on time series power quality disturbances models. In 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications.IEEE 6. Khan, S.U., Mynuddin, M., et al. "A comparative analysis of deep learning models for power quality disturbance classification." 2023 IEEE World AI IoT Congress (AIIoT). IEEE, 2023. 7. Mynuddin, M., et al. Reinforcement learning for multi-agent systems with an application to distributed predictive cruise control. In 2020 American Control Conference (ACC) . IEEE. 8. Mynuddin, M., & Gao, W. (2020). Distributed predictive cruise control based on reinforcement learning and validation on microscopic traffic simulation. IET Intelligent Transport Systems. 9. Gao, W., Mynuddin, M., et al. (2021). Reinforcement learning-based cooperative optimal output regulation via distributed adaptive internal model. IEEE transactions on neural networks and learning systems. 10. Mynuddin, M., et al. (2015). Stability study of power system. International Journal of Energy and Power Engineering. 11. Full list of publications: Google Scholar

Contact this candidate