Technological Innovation, Contribution and Adaptation for the Nation and the World
Laboratory Overview
EmTech JKKNIU serves as a platform for students to work on their ideas and collaborate with national and international industries and institutions to conduct research on a global stage. Our current research areas include Structural Health Monitoring, Robotics, Machine Learning, and IoT. There are 22 individuals from the Department of EEE, JKKNIU, who are organized into four groups in this lab for their respective research projects. The lab provides as much support as possible and encourages high-quality research that benefits not only Bangladesh but also contributes to the international landscape.
EmTech JKKNIU was launched in February 2025, with the help of three passionate students from the Department of EEE at Jatiya Kabi Kazi Nazrul Islam University— A M Safayet Hossain, Shuvra Dev, and MD Sarowar Zaman. The lab is maintained by the undergraduate RAs under the supervision of the principal investigator, Dr. Md Mahbubur Rahman. We also have alumni who worked under Dr. Md Mahbubur Rahman before the lab was officially launched. Their names have been included on the website to showcase previous notable individuals who have worked with our principal investigator.
Students from the Faculty of Science and Engineering at JKKNIU can join us by presenting their respective research ideas. The lab will provide facilities to students if their research/project proposals align with the lab’s mission and vision.
Our mission includes solving technical problems related to automation, AI, and IoT that are useful for our country. Our researchers also aim to address global challenges with their inventions. They are committed to making our lab a world-class facility and aspire to contribute to leading research laboratories in the future to fully explore their potential.
Project Aarohee
Project Aarohee is an advanced wall-climbing robot designed to automate structural health monitoring. It enhances efficiency, accuracy, and safety in inspections, minimizing the need for manual labor in hazardous environments. The robot features a propeller-based negative pressure adhesion system for a secure grip and a wheeled locomotion mechanism for smooth movement, making it suitable for various inspection tasks.
Initial tests confirm its ability to operate on both vertical and ceiling surfaces, proving its reliability and adaptability. Its combination of adhesion technology and precise movement control ensures thorough inspections in challenging conditions. With its potential to transform structural health monitoring, Project Aarohee marks a significant step in automated inspection and maintenance.See more
Aarohee MLS
Aarohee MLS is a multimodal locomotion system that integrates drone technology with wall-climbing capabilities. Designed for adaptability, it serves various applications, with a primary focus on structural health monitoring. As an extension of Project Aarohee, it aims to revolutionize inspection processes and enhance robotic mobility.
Initially developed for Structural Health Monitoring (SHM), the system can also function as a multi-purpose robot. The goal is to create a versatile locomotion platform capable of climbing and flying. Future advancements may introduce floating and diving capabilities, further expanding Aarohee MLS’s potential.See more
Machine Learning
We have completed several machine learning projects across healthcare, industrial safety, and cybersecurity, each contributing to cutting-edge advancements. Our heart disease prediction model, using logistic regression, was presented at ICVEE-2024 and published in IEEE Xplore.
Additionally, we developed an ammonia leakage detection and trip prediction system using a Naïve Bayes model, showcased at ICRPSET-2024. Our work on enhancing cybersecurity in industrial power electronics through Random Forest tuning was presented at ICCIT-2024. Another ongoing project involves an ANN-driven feature selection-based heart disease classification model, integrated into a web-based application, soon to be submitted to a journal.See more
Lift Centralization
The Lift Centralization Project, assigned by the university’s engineering department, aims to improve the monitoring and emergency response system for lifts across the campus. With approximately 48 lifts in different buildings, emergency alerts currently reach only the lobby intercom, requiring on-site technical staff in each building.
This project seeks to wirelessly centralize the lift monitoring system. When an emergency button is pressed inside a lift, an alert is transmitted to a control room. Additionally, the system will enable direct communication, allowing passengers to speak with technical staff from inside the lift during emergencies, improving response efficiency.See more
Event Participation Program
The Event Participation Program in our lab focuses on designing and developing innovative robots and devices for national and international competitions. So far, we have built Soccer Bots and Line Following Robots (LFR) and successfully participated in events such as BITFEST 2025, organized by CSE, KUET, and NSU Tech Fest 2025.
Beyond these, we are also working on drones, battle bots, and racing bots, preparing them for upcoming competitions. The program encourages junior students to join, offering them opportunities to gain hands-on technical experience while actively competing in robotics and engineering challenges. Future plans include expanding our participation in global tech events, further refining our innovations, and collaborating with industry professionals to push the boundaries of robotics.See more
Latest News
February 05, 2025Emtech JKKNIU officially launched at Department of EEE.