Nazmul Huda Badhon
BSc Graduate, Dept. of Computer Science and Engineering @ Daffodil International University (DIU)
My research focuses on robust and efficient deep learning, sensor-based machine learning and AI for healthcare. My undergraduate thesis focused on developing a lightweight convolutional neural network for tabular data-based energy-demand prediction under the supervision of Associate Professor Nazmun Nessa Moon, continuing in her lab as a Research Associate. I began my research journey as a sophomore during my undergrad at DIU. While studying there, I participated in a semester exchange program at Dongseo University, South Korea. This experience strengthened my interest in deep learning and applied AI research. Throughout this journey, I have collaborated closely with research mentors and collaborators including Imrus Salehin (PhD Student, NC A&T, USA), Md. Baharul Islam (Associate Professor, FGCU, USA), and Dr. Fernaz Narin Nur (Professor, DIU). I 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 Awards in 2024 and 2025 from the Division of Research, DIU. My research has been published in Elsevier, Wiley and Taylor & Francis. I was also recognized as a top performer in the Computer Vision and Deep Learning Bootcamp for Medical Data at DIU. View all achievements
My research focuses on robust and efficient deep learning, sensor-based machine learning and AI for healthcare. My undergraduate thesis focused on developing a lightweight convolutional neural network for tabular data-based energy-demand prediction under the supervision of Associate Professor Nazmun Nessa Moon, continuing in her lab as a Research Associate.
I began my research journey as a sophomore during my undergrad at DIU. While studying there, I participated in a semester exchange program at Dongseo University, South Korea. This experience strengthened my interest in deep learning and applied AI research. Throughout this journey, I have collaborated closely with research mentors and collaborators including Imrus Salehin (PhD Student, NC A&T, USA), Md. Baharul Islam (Associate Professor, FGCU, USA), and Dr. Fernaz Narin Nur (Professor, DIU). I 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 Awards in 2024 and 2025 from the Division of Research, DIU. My research has been published in Elsevier, Wiley and Taylor & Francis. I was also recognized as a top performer in the Computer Vision and Deep Learning Bootcamp for Medical Data at DIU. View all achievements
At a glance
Google ScholarLast updated: 2026-08-17
Highlights
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.
PAPER Our book chapter on machine-learning-based peak energy-demand prediction was published in Engineering Applications of AI for Demand Forecasting by Taylor & Francis. Congratulations to all co-authors!
PAPER Our paper on temporal convolutional networks for indoor location recognition from BLE beacon signals was published in the International Journal of Activity and Behavior Computing. Congratulations to all co-authors!
RESEARCH Participated in the 8th ABC Challenge and presented our paper at the event organized by Kyushu Institute of Technology, Japan.
POSITION I officially joined the CSE AI Centre at Daffodil International University as a Graduate Researcher, focusing on lightweight deep learning, computer vision, medical AI, and scientific dataset development.
SERVICE Invited to serve as a peer reviewer for Digital Health, a SAGE Publishing journal.
RECOGNITION Recognized as a top performer in the Computer Vision and Deep Learning Bootcamp for Medical Data at Daffodil International University.
AWARD Received a Research Award from the Division of Research and Department of CSE at DIU for scholarly publications.
SCHOLARSHIP Awarded the Global Korea Scholarship (GKS) and completed a semester exchange at Dongseo University, South Korea.
NEW! Temporal Convolutional Network Based Indoor Location Recognition from BLE Beacon Signals in Nursing Care Facility
Nazmul Huda Badhon, Sabit Ahamed Preanto, Abu Shahed Shah Md Nazmul Arefin, Kazi Jahid Hasan, Md. Baharul Islam
TLCNN: Tabular Data-Based Lightweight Convolutional Neural Network for Electricity Energy Demand Prediction
Nazmul Huda Badhon, Imrus Salehin, Md Tomal Ahmed Sajib, Md Sakibul Hassan Rifat, SM Noman, Nazmun Nessa Moon
A Comparative Deep Learning Methodology for Plant Insect Image Classification: Assessment of CNN Architectures and Augmentation Techniques
Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Imrus Salehin, Md Sakibul Hassan Rifat, Faysal Ahmed, Nazmun Nessa Moon
Systematic Literature Review of LLM–Large Language Models in Medical: Digital Health, Technology and Applications
Imrus Salehin, Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Md Sakibul Hassan Rifat, Nazrul Amin, Nazmun Nessa Moon
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Open to graduate research opportunities, academic collaboration, and discussions.
