SADIKUL HASAN MRIDHA
Designation: Research Assistant
Organization: Mridha’s Research Center (MRC), Dhaka, Bangladesh
Special Skills:
- Expertise in Machine Learning and Deep Learning Applications
- Proficiency in Convolutional Neural Networks (CNNs) and ResNet Architectures
- Skilled in Sensor Data Analysis and Satellite Imagery Processing
- Knowledge in AI-Driven Solutions for Agriculture and Environmental Monitoring
Email: sadikul.atul@ulab.edu.bd
BIO OF SADIKUL HASAN MRIDHA
Sadikul Hasan Mridha is an emerging researcher and electrical engineering student from Bangladesh, currently pursuing a B.Sc. in Electrical and Electronic Engineering (EEE) at the University of Liberal Arts Bangladesh (ULAB). As a Research Assistant at Mridha’s Research Center (MRC), Dhaka, he specializes in applying machine learning and deep learning techniques to address real-world challenges in agriculture, environmental monitoring, and health diagnostics. His work integrates advanced technologies such as convolutional neural networks (CNNs) and sensor data analysis to develop innovative solutions, including disease detection in crops and monitoring toxic gases in urban environments. Sadikul is passionate about leveraging AI to drive sustainable development and environmental resilience, aiming to contribute to Bangladesh’s technological advancement while inspiring peers through collaborative research and knowledge sharing.
Machine Learning and Deep Learning Applications
Convolutional Neural Networks (CNNs) and Res Net Architectures
Sensor-Based Data Analysis and IoT Integration
Satellite Imagery Analysis for Environmental Monitoring
AI-Driven Agricultural and Health Diagnostics
Sustainable Technology and Urban Environmental Solutions
Publications
JOURNAL AND CONFERENCE ARTICLES
Mohammad Sakib, Sadikul Hasan Mridha Atul, Sk Shamiul Alam, Fardeen Haque Supto, Md. Muktadir Hossain (2024). “Automated Detection of Broiler Chicken Behaviors Through the Integration of 3D Accelerometer Sensor and Machine Learning Techniques”. AIP Conference Proceedings, Vol. 3245, No. 1, 020001. (Cited by: 1).
Sadikul Hasan Mridha Atul, Md. Imtiaz Hasan, Md. Mosiur Rahman, Farzana Sultana, Omar Faruk Khan, Md. Shamsul Islam (2025). “Rice Leaf Disease Detection System Using the Convolutional Neural Network (ResNet)”. 2025 International Conference on Electrical, Computer and Communication Engineering.
Sadikul Hasan Mridha Atul, Mohammad Sakib, Md. Imtiaz Hasan, Md. Shamsul Islam, Omar Faruk Khan, Atiqur Rahim (2024). “Potato Leaf Disease Detection System Using the Convolutional Neural Network (ResNet)”. 2024 IEEE Conference on Engineering Informatics, pp. 1–5.
Mohammad Sakib, Sadikul Hasan Mridha Atul, Tamal Sarkar, Hasibul Mia, Abu S. M. D. Hasan Nafiu, Md. Shahjalal (2024). “Monitoring Toxic Gases in Dhaka Brick Kiln Areas & Comparing CNN vs. ResNeT for Brick Kiln Identification Via Satellite Imagery in Bangladesh”. 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control.
Mohammad Sakib, Sadikul Hasan Mridha Atul, Md. Islam, Omar Faruk Khan, Md. Imtiaz Hasan, Farhana Ahmed (2024). “Comparative Analysis of ML and DL Models for Discriminating Autistic vs Non-Autistic Spectrum Disorder Using Facial Images”. 2024 IEEE International Conference on Computing, Applications and Systems.
2021 – 2024 : B.Sc. in Electrical and Electronic Engineering (EEE), University of Liberal Arts Bangladesh (ULAB), Dhaka, Bangladesh.
2024: Automated Detection of Broiler Chicken Behaviors – Research Project, Mridha’s Research Center (MRC). Integration of 3D accelerometer sensors and machine learning for poultry behavior analysis.
2024–2025: Rice and Potato Leaf Disease Detection Systems – Collaborative Research, Mridha’s Research Center (MRC). Development of CNN-based (ResNet) models for crop disease identification.
2024: Monitoring Toxic Gases and Brick Kiln Identification in Dhaka – Research Project, Mridha’s Research Center (MRC). Utilized satellite imagery and CNN/ResNet models for environmental monitoring.
2024: Autism Spectrum Disorder Detection Using Facial Images – Research Project, Mridha’s Research Center (MRC). Comparative analysis of machine learning and deep learning models for health diagnostics.
Citation Impact Recognition: 1 Citation for Broiler Chicken Behavior Detection Study (2024).
Active Memberships: IEEE Student Member (2024–Present),
Bangladesh Electronics Society (BES) (2023–Present).
Location: Dhaka, Bangladesh
Email: sadikul.atul@ulab.edu.bd
Portfolio: Sadikul Hasan Mridha
Affiliation: Research Assistant, Mridha’s Research Center (MRC), Dhaka, Bangladesh
