I have completed my bachelor's degree in Electrical & Computer Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh. Throughout my undergraduate studies, I worked on several IoT-driven projects, and I have research experience in artificial intelligence, machine learning, and deep learning model design. In my short research career, I have published several IEEE conference papers as first authors and a journal paper (IEEE access) as co-author.
Experienced as a research assistant of the Artificial Intelligence & Machine Learning (AIML) Research Group of RUET for more than one year and a half, I developed competence in c omputer vision, image processing, advanced data analytics, machine learning (ML), deep learning, artificial intelligence(AI), and signal processing. I have a strong background in programming including Object Oriented Programming, and am well - versed in Python, PHP, Tensorflow, Keras, Pandas,
OpenCV, MySQL and so on.
A self-motivated and inspired associate who is looking for more significant opportunities and growth. Moreover, I strengthened and reveled towards the research field of Explainable ArtificialIntelligence, Machine Learning, Deep Learning, Computer Vision, IoT based applications.
Having a major in Electrical & Computer Engineering with prior experience in the field of IoT, AI based system design, I am very interested in developing a digital twin for cognitive predictive maintenance with proper automatic data labeling using XAI to enhance maintenance in manufacturing and production processes of big industries.
Artificial Intelligence in Predictive Maintenance: A Systematic Literature Review on Review Papers (Jul 2023) Md Rakibul Islam , Shahina Begum, Mobyen Uddin Ahmed 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)