NAZMUL HUDA BADHON

B.Sc. Graduate | Deep Learning Research

Nazmul Huda Badhon – Graduate | Research in Deep Learning and Computer Vision
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badhon15-4772@diu.edu.bd

+880 1903-906230

Dhaka, Bangladesh

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8 Publications
12+ Citations
5 Q1 Journals
Last updated: 2026-05-11

Nazmul Huda Badhon (He/his) · Bachelor of Science graduate · Computer Science and Engineering, Daffodil International University, Class of 2026.

His undergraduate thesis is on "Tabular data based lightweight convolutional neural networks for electricity energy demand prediction" under the supervision of Associate Professor Nazmun Nessa Moon. His research focuses on designing deep neural network architectures, computer vision tasks, medical imaging analysis.

Seeking

Exploring research roles in Deep Learning & Computer Vision

Deep Learning · Machine Learning · Computer Vision

academic profile Profile

My 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.

Academic Highlights


  • Nazmul Huda Badhon Graduation Ceremony

    BSc Convocation

    · Daffodil International University, Bangladesh.
    Receving moment of my BSc degree convocation

  • Nazmul Huda Badhon with faculty members

    Undergraduate Thesis

    · Thesis: A novel Lightweight CNN · submitted under the supervision of Associate Prof. Moon, with Prof. Fernaz

  • Semester exchange at Dongseo University, South Korea

    Semester Exchange

    · Dongseo University, South Korea.
    Completed one semester with fully-funded GKS scholarship.

  • Nazmul Huda Badhon participating in an international academic camp at Dongseo University, South Korea

    International Academic Camp

    · Busan, South Korea. International exposure while attending semester exchange.

  • Nazmul Huda Badhon recognized as top performer in computer vision bootcamp at Daffodil International University

    Top Performer in Computer Vision Bootcamp

    · Daffodil International University, Bangladesh

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 background Education

Bachelor of Science in Computer Science and Engineering

DIU Daffodil International University, Dhaka, Bangladesh
Duration: Spring 2022 – Fall 2025 CGPA: 3.88 / 4.00

Semester Exchange, Computer Engineering

Dongseo University Dongseo University, South Korea
CGPA: 3.94 / 4.50
GKS Scholarship Global Korea Scholarship (GKS) Fall 2023

selected works Recent Key Publications

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." In 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. " In 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 " In 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. " In Engineering Reports, September 2025.