About Me ▶

Passionate about power electronics, renewable energy, and AI-driven control methods. Eager to collaborate on research projects and learn cutting-edge technologies. Currently pursuing advanced studies in Electrical & Electronic Engineering with a focus on machine learning applications.

My research interests include smart grid systems, energy-efficient power converters, and the integration of artificial intelligence in power system optimization. I believe in the power of technology to create sustainable solutions for tomorrow's energy challenges.

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Research Papers ▶

There are currently no published papers. Research work is in progress and publications will be updated here as they become available.

Current research focus areas:

  • AI-driven power system optimization
  • Renewable energy integration techniques
  • Smart grid control methodologies

Talks & Blogs ▶

Experience ▶

  • Electrical and Fire Safety Design Engineering Intern at MEP DESIGN STUDIO
    Assisted in the design and implementation of electrical systems with a focus on Fire safety and compliance. (2025 July - Present)
  • Teaching HSC Physics and Higher Mathematics
    Conducted classes and tutoring sessions for students, focusing on problem-solving and conceptual understanding. (2023 Jan - Present)

Projects ▶

Fake News Detection
AI-powered system for detecting and mitigating fake news in online platforms. (One of two Contributors in the project)
MEP AutoCAD Scripts
Built a collection of personalised AutoCAD scripts for MEP design automation and optimization using AI.
Diabetes Risk Assessment (Bangladesh)
Developed a machine learning model to assess diabetes risk factors using patient data. This project leverages the DiaBD dataset to analyze diabetes risk factors among Bangladeshi patients. It uses statistical techniques and ML algorithms to build a predictive model for early diabetes detection.
Brain Tumor Detection (CNN)
Developed a convolutional neural network (CNN) model for the detection of brain tumors in MRI images. This project leverages Convolutional Neural Networks (CNNs) to detect and classify brain tumors from MRI images. Utilizing deep learning techniques, the model aims to assist medical professionals in early diagnosis, enhancing accuracy and efficiency in clinical settings.
HVAC Load Simulation Using HAP(Hourly Analysis Program
Performed a dynamic energy simulation using HAP™ by Carrier to calculate the precise heating and cooling loads for a multistory building, providing key data for efficient HVAC system sizing.

Timeline ▶

  • 2025 July - Present
    Started internship at MEP DESIGN STUDIO as an Electrical and Fire Safety Design Engineering Intern.
  • 2024 September - Present
    Due to unavoidable circumstances, I had to temporarily pause my formal academic pursuits. During this time, I am focusing on self-development and skill enhancement, actively working on research papers and gaining practical experience through an internship in MEP (Mechanical, Electrical, and Plumbing) engineering. This period has strengthened my expertise and prepared me well for resuming my academic and professional journey.
  • 2023 January - Present
    Began teaching HSC Physics and Higher Mathematics.
  • 2022 November - Present
    Enrolled in the undergraduate program at Bangladesh University of Engineering and Technology (BUET), majoring in Electrical & Electronic Engineering.
  • 2019 Jun - 2022 Feb
    Completed higher secondary education (HSC) in Science.
  • 2011 Jan - 2019 Mar
    Completed high school in my hometown Rangpur.

Contact Me ▶

Let's connect! Feel free to reach out for collaborations, research opportunities, or just to discuss innovative ideas in electrical engineering and technology.

📧 Email

nihal101.eee@gmail.com

💼 LinkedIn

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GitHub

Check out my repositories

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