Lecturer, Department of EEE
Md. Akhirul Islam
Designation: Lecturer, Department of EEE
Qualification: BSc in ECE from KUET
Mobile: 01721555077
E-mail: akhirul.abir@gmail.com
Md. Akhirul Islam is a Lecturer in the Department of Electrical and Electronic Engineering at the University of Brahmanbaria, Bangladesh. He completed his B.Sc. degree in Electronics and Communication Engineering from Khulna University of Engineering & Technology (KUET). He received the Dean’s Award for his outstanding academic performance during his third year.
His research interests include photonics, photonic crystal fiber surface plasmon resonance (PCF-SPR) sensors, machine learning, optical sensing, and wireless sensor networks. He previously worked as a Data Analyst at edotco Bangladesh Limited. He is currently focused on teaching, research, and developing innovative technology-based solutions.
Areas of Interest
- Research Experience
- Skills and Abilities
- Projects
- Achievements
- Awards and Certifications
- Extra-Curricular Activities
A Simple-Structured, Highly Sensitive PCF-SPR Sensor (Under review)
• Engineered a highly sensitive PCF-SPR sensor covering a refractive index range of 1.39–1.44.
• Optimized sensor design for simplicity and ease of fabrication, enhancing practical applicability.
A Machine Learning based inverse design method for PCF-SPR sensor (ongoing)
• Developed a simulation-based real-life dataset for designing PCF-SPR sensors.
• Implemented multiple machine learning models and deep learning, to optimize sensor design.
• Validated the predicted results by designing and analyzing the sensor for real-life applications.
| • Programming Languages | Python, C, C++, HTML, CSS, MySQL |
| • Machine Learning (ML) | TensorFlow, Keras, RAG |
| • Generative model | GAN, VAE |
| • Design and Simulation | COMSOL Multiphysics, MATLAB, Proteus, CST |
| • Robotics | Arduino, Raspberry Pi, OpenCV |
- AI based glasses for blind
• The spectacles utilize OCR technology to read any book or paper aloud, providing Audio feedback
• Object Detection: Use image processing to detect and announce object names
• Face Recognition: Utilizing Deep Neural Network Models, the spectacles can recognize faces.
• Navigation Assistance: The spectacles guide a person while walking on a road.
- Build a RAG pipeline for Bangla pdf
• This RAG model can retrieve the answer from a Bangla PDF based on the given question.
• Repository
- Four element circular patch antenna array
• Design a 4 array circular patch antenna for Telecommunication in CST Microwave studio.
• Achieved high gain and directivity.
• Conducted performance analysis, including parameters like VSWR, S-parameter.
• Dean’s Award in the 3rd year for an average CGPA 3.87 out of 4.00.
• Technical scholarship in 1st, 2nd, 3rd and 4th year.
• Completed “Neural networks and Deep Learning” authorized by Deeplearning.AI course.
• Machine Learning with Python organized by Bangladesh Computer Council, EDGE.
• Sports Committee member in Kuet students welfare.
• President in Hall Sports Committee.
• Executive member at Kuet Research Society (KRS).