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Amimul Ehsan

#BLM, Electrical Engineer, Renewable Energy Researcher, Power Systems Specialist, Entrepreneur, Lifelong Wonderer
Résumé CV
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Learn About Me

Welcome!

I am a passionate PhD student at UNC Charlotte specializing in smart grid. Originally from Bangladesh, my journey in engineering has led me to pursue advanced research in cutting-edge renewable energy technologies, electrical power systems, and artificial intelligence.

Power Systems

85%

Modeling & Simulation

95%

System Integration

90%

Machine Learning & AI

85%

I’m also an entrepreneur, having founded the Queen City Sustainable, LLC, where we focus on sustainable solutions by leveraging data analytics, AI, and machine learning.

I aspire to a world defined by peace and equity. Beyond my professional endeavors, I enjoy traveling, discovering new experiences, and savoring delicious food.

Learn More

What I do

Cutting-Edge Solutions

Renewable Energy Technology

My work encompasses advanced research in renewable energy integration, inverter control, DER coordination, and smart grid testbed modeling. I have led successful projects on power system optimization and sustainable energy solutions, and gained hands-on experience at NIST's Smart Grid Group. My goal is to drive innovation in power systems and renewable energy, contributing to a more sustainable and resilient energy future.

System Integration

I specialize in system integration, focusing on the seamless coordination of diverse technologies within power systems and renewable energy frameworks. My work ensures that various components operate harmoniously, enhancing the efficiency and reliability of power systems. This experience underscores my commitment to advancing the integration of intelligent technologies in sustainable energy solutions.

Modeling & Simulation

My expertise lies in optimizing the performance and stability of power systems through advanced modeling techniques and controller designs. This includes projects in smart grid testbed modeling, inverter control, DER coordination, and hardware-in-the-loop co-simulation. My goal is to enhance the reliability and efficiency of power systems, with a particular focus on integrating renewable energy sources, thereby supporting ongoing efforts to modernize the grid.

Artificial Intelligence

Using Python, Matlab, and R, I develop AI models for predictive analytics and optimization tasks in energy management. Integrating these algorithms into smart grid technologies enhances system efficiency and reliability. I apply these skills to optimize renewable energy integration, improve predictive maintenance, and enhance grid stability through intelligent automation, driving sustainable energy solutions and efficient power system management.

My Resume

Working Experience

August 2022 - May 2024

Research Assistant

UNC Charlotte, NC

Led pioneering research at UNC Charlotte's EPIC, focusing on hardware-in-the-loop simulations, communication protocols for scalable DER integration, and applying machine learning for weather-driven power outage prediction, optimizing DER/IBR integration for resilient and sustainable power system operations.

May 2023 - August 2023

Intern

Karlsruher Institut für Technologie (KIT), Germany

Developed and implemented communication frameworks and system-level controls for distributed energy resources at KIT's Institute of Electrical Energy Systems and High Voltage Engineering (IEH), optimizing efficiency and reliability in a DC microgrid environment through advanced PLC programming and industrial protocol implementation.

June 2019 - August 2022

Research Engineer/Co-Op/Intern

National Institute of Standards and Technology (NIST), Gaithersburg, MD

Conducted pioneering research at NIST's Smart Grid Group, focusing on inverter control and grid integration challenges. Led projects in DER coordination and smart grid testbed modeling, developing simulation capabilities for real-time power hardware-in-the-loop experiments. Contributed to advancements in grid stability and distributed control frameworks, emphasizing the integration of renewable energy sources and enhancing grid resilience.

January 2019 - May 2019

Research Fellow

Lockheed Martin, Washington, DC (through UDC)

Explored and applied deep learning algorithms (e.g., DNN, CNN, RNN) for classification and clustering. Using Python and Keras, I focused on handwritten digit recognition, achieving state-of-the-art accuracy with hybrid models as part of NSF and DoD research grants.

January 2018 - December 2019

Teaching Assistant

University of the DIstrict of Columbia (UDC), Washington, DC

Assisted professors with lab experiments, grading, and exams, and taught courses including Control Systems, Signals and Systems, Digital Circuit Design, and Electrical Circuits. I adapted teaching methods to simplify complex engineering concepts, fostering organizational skills and collaborative learning environments to enhance student engagement and success.

April 2017 - November 2017

Lecturer

Military Institute of Science and Technology - BNA Campus, Chittagong, Bangladesh

Taught courses in Electrical Circuits I & II, Fundamentals of Electrical Engineering, and Electronics, providing in-depth theoretical instruction and practical laboratory experience. This role enhanced my abilities in curriculum development, instructional design, and fostering student engagement through effective communication and hands-on learning activities.

November 2016 - January 2017

Trainee Maintenance Engineer

PRAN-RFL Group - Danga Industrial Park, Narsingdi, Bangladesh

Led the machine and process development team, emphasizing enhanced process safety and plant efficiency. Recognized for our innovation and development efforts, our team was awarded the Best Kaizen Team in December 2016.

August 2014 - July 2015

Research Assistant

Chittagong University of Engineering & Technology (CUET), Bangladesh

Developed energy-neutral home systems for rural communities in Bangladesh. This involved proposing solutions using locally sourced biogas to provide electricity, cooking gas, and fertilizer. Additionally, I designed a business model enabling communities to trade organic waste for essential utilities such as electricity and bio-fertilizer, contributing to economic and environmental sustainability in rural areas.

March 2012 - July 2015

Co-founder

Dimik Electronics, Chittagong, Bangladesh

Designed and implemented embedded systems and robotics projects according to client specifications, including an electronic voting machine, a smart energy meter, and a low-cost PIC microcontroller programmer. The latter project was recognized as the runner-up in the EEE Day Tech Fest in 2014. Each project was developed to meet precise client requirements, leveraging advanced technology to ensure functionality, reliability, and cost-effectiveness.

My Portfolio

A few highlights

  • All
  • Projects
  • Talks
  • Awards
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Power Systems

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Invited Talks

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Best Accolades

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Control Design

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Presentations

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ML/Data Analytics

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Scholarly Contribution

Publications

Journal
Articles

  • Investigation of Data Size Variability in Wind Speed Prediction of AI Algorithms, Cybernetics and Systems, 52(1), 2020.
  • A Practical Biogas Based Energy Neutral Home System for Rural Communities of Bangladesh, Renewable and Sustainable Energy, 8(2), 2016.
ORCID

Conference Proceedings

  • Stability Analysis for a Co-Simulation Testbed Including Real-Time & Quasi Steady-State Simulators, IEEE NAPS, 2023, Ashville, NC.
  • Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM), IEEE ICIST, 2020, Bath, London, Plymouth, UK.
Google Scholar

Tech Note, User Guide etc.

  • Configuring SEL 751 Relay in a Hardware-In-The-Loop setup with RTDS, Power System Protection, UNCC, Spring 2024.
  • Validation Capabilities of the NIST Campus Power System to Evaluate Distributed Control of Grid-Edge Distributed Energy Resources, U.S. Department of Commerce, 2021.
Click Here for Full List
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Python, Matlab, R, C/C++, VHDL, Structured Text (ST)
OpenDSS, ETAP, CYME, PSACD, PSS/E, PowerWorld, DIgSILENT, Simulink, RTLAB, RSCAD, SPICE, Vivado, Cadence, TwinCAT 3
Machine Learning & AI, Optimization, Data Analysis, Power System Modeling

Computer Skills

Programming & Simulation Tools

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Power Flow, Fault Studies, Stability, Inverter Based Resources– Grid Forming (GFM) and Grid Following (GFL) Modes, Controller Design
OPAL-RT, Speedgoat, RTDS, NHR Grid Emulator & Programmable Load, Battery Energy Storage System (BESS), Hydrogen Energy Storage, SEL Relay Configuration, Impedance Analyzer, Power Quality Meter
Beckhoff PLC, Xilinx FPGA, Raspberry Pi, Arduino, Sensors, Communication Protocols and Interfacing (UDP, Modbus), Metrology

System Level Skills

Hardware Setup & Experimentation

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Leadership, Team Player, Diversity & Inclusion, Volunteerism, Authorship, Reviewing

Soft Skills

Core Values

For Easy Access

Useful Resources

Coming soon...

Thank you

Please leave me a note for any further information.

Md Amimul Ehsan

Charlotte, North Carolina, USA

+1 (202) 509-5344

ehsanmdamimul@gmail.com

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