Deep Learning Researcher
BSc Graduate in Computer Science
Daffodil International University
badhon15-4772@diu.edu.bd
My research focuses on designing deep neural network architectures, machine learning tasks, medical imaging analysis and AI for healthcare. My undergraduate thesis was on developing a novel method, "Tabular data based lightweight convolutional neural networks" under the supervision of Associate Professor Nazmun Nessa Moon.
Open to research opportunities in Deep Learning, Machine Learning, and Interdisciplinary AI.
The research journey began during my second year of undergraduate studies at Daffodil International University, Bangladesh. While studying there I took part in a semester exchange program at Dongseo University, South Korea, and this experience significantly strengthened my interest in deep learning and advanced AI research. Throughout this journey, I have had the privilege of collaborating closely with my research mentor Imrus Salehin and team members SM Noman, Md Tomal Ahmed Sajib, Nazrul Amin, and Pritom Saha. These collaborations have resulted in several peer-reviewed publications in high-impact venues including, Global Energy Interconnection, Elsevier, Engineering Reports, Wiley, Taylor & Francis.
My work and academic efforts have been recognized through key honors including the fully funded Global Korea Scholarship GKS in 2023 by the Government of the Republic of Korea and the Research Award in 2024 and 2025 from the Division of Research and Department of Computer Science and Engineering at Daffodil International University. I was also acknowledged as a Top Performer in the Computer Vision and Deep Learning bootcamp for Medical Data at DIU.
Academic Highlights
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BSc Convocation
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Undergraduate Thesis
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Semester Exchange
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International Academic Camp
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Top Performer in Computer Vision Bootcamp
Bachelor of Science in Computer Science and Engineering
Daffodil International University, Dhaka, Bangladesh
Semester Exchange, Computer Engineering
Dongseo University, South Korea
Global Korea Scholarship (GKS), fully funded.
Nazmul Huda Badhon, Sabit Ahamed Preanto, Abu Shahed Shah Md Nazmul Arefin, Kazi Jahid Hasan, Md. Baharul Islam, “Temporal Convolutional Network Based Indoor Location Recognition from BLE Beacon Signals in Nursing Care Facility.”
International Journal of Activity and Behavior Computing · Kyushu Institute of Technology, Japan · April 2026
Nazmul Huda Badhon, Imrus Salehin, Md Tomal Ahmed Sajib, Md Sakibul Hassan Rifat, SM Noman, Nazmun Nessa Moon, “TLCNN: Tabular Data-Based Lightweight Convolutional Neural Network for Electricity Energy Demand Prediction.”
Global Energy Interconnection, Elsevier · December 2025
Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Imrus Salehin, Md Sakibul Hassan Rifat, Faysal Ahmed, Nazmun Nessa Moon, “A Comparative Deep Learning Methodology for Plant Insect Image Classification: Assessment of CNN Architectures and Augmentation Techniques.”
MethodsX · December 2025
Imrus Salehin, Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Md Sakibul Hassan Rifat, Nazrul Amin, Nazmun Nessa Moon, “Systematic Literature Review of LLM–Large Language Models in Medical: Digital Health, Technology and Applications.”
Engineering Reports · September 2025