Nazmul Huda Badhon – Deep Learning Researcher

ABOUT ME

badhon15-4772@diu.edu.bd

+880 1903-906230

Daffodil Smart City, Birulia, Savar, Dhaka-1216, Bangladesh

Hi there! I'm Nazmul Huda Badhon and I'm

an undergraduate final semester student (graduating in January, 2026) in Computer Science and Engineering at Daffodil International University, Bangladesh, specializing in Machine Learning, Deep Learning, and Medical AI. He has authored Several peer-reviewed publications, including accepted works in Q1 and Q2 journals, data articles, and book chapters with publishers such as Taylor & Francis, Wiley, and Elsevier. His contributions cover areas including CNNs, medical imaging datasets, and systematic literature reviews on Large Language Models-LLMs in healthcare. Beyond research, Badhon is passionate about teaching and mentoring, with a vision of pursuing a Research Assistantship or Teaching Assistantship to further develop his academic and research career. His strong foundation in deep learning architectures supports his long-term goal of advancing AI for impactful, real-world applications.

Research Areas: Deep Learning, Machine Learning, Medical AI

EDUCATION

Bachelor of Science in Computer Science and Engineering
Daffodil International University, Dhaka, Bangladesh
Spring 2022—Fall 2025
CGPA: 3.87/4.00

Exchange Program, Computer Engineering
Dongseo University, Busan, South Korea
With GKS scholarship—Fall 2023
GPA: 3.94/4.50. Marks: 93.25%

Nazmul Huda Badhon at Dongseo University

PUBLICATIONS/ PRESS

Total Publication of Nazmul Huda Badhon is seven. All are top tier Journals, Book Publisher. Recent Key Publication is given below:

Journal Research Article

1. 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." on Global Energy Interconnection, 14 November 2025, ISSN: 2590-0358, Elsevier.

Journal Review Article

2. 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 Model in Medical: Digital Health, Technology and Applications" on Engineering Reports 7.9: e70365, 12 September 2025. ISSN: 2577-8196, Wiley.

Journal Micro Article

3. 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" on MethodsX, 17 October 2025. ISSN: 2215-0161, Elsevier.

Journal Data Article

4. Imrus Salehin, Nazmul Huda Badhon, Md Tomal Ahmed Sajib, Mohd Saifuzzaman, Nazmun Nessa Moon (2025), "IQ-UltraRecon: Demodulated IQ ultrasound dataset of human hand and arm tissue for deep learning-based reconstruction" on Data in Brief, 112001, 22 August 2025. ISSN 2352-3409, Elsevier.

Journal Data Article

5. Imrus Salehin, Nazmul Huda Badhon, Md Tomal Ahmed Sajib, Nazmun Nessa Moon, "DeepUS-ReconSeg: A Multi-Angle Paired B-Mode Ultrasound Dataset for Medical Imaging Reconstruction and Segmentation" on Data in Brief, 112083, 19 September 2025. ISSN 2352-3409, Elsevier.

Journal Data Article

6. Imrus Salehin, Mahbubur Rahman Khan, Ummya Habiba, Nazmul Huda Badhon, Nazmun Nessa Moon (2024), "BAU-Insectv2: An Agricultural Plant Insect Dataset for Deep Learning and Biomedical Image Analysis" on Data in Brief, 110083, 23 January 2024. ISSN: 2352-3409, Elsevier.

Book Chapter

7. Nazmul Huda Badhon, Imrus Salehin, Md. Tomal Ahmed Sajib, Md. Sakibul Hassan Rifat, Nazmun Nessa Moon, "Predicting Peak Energy Demand Using Machine Learning Techniques for Efficient Electricity Supply Management. " on Engineering Applications of AI for Demand Forecasting, Taylor & Francis. Accepted on 24 April 2025. (in press).

RESEARCH PROJECTS

Breast ultrasound – segmentation & hybrid classification

Ultrasound Segmentation Hybrid Model Classification

Breast Cancer: Segmentation-Guided Hybrid Classification

Datasets: BUSI with GT (segmentation) & BUSI_Corrected (classification)

A two-stage pipeline on breast ultrasound: (1) train U-Net on BUSI-with-GT to obtain lesion masks, then segment BUSI_Corrected images; (2) merge classes (Normal, Benign, Malignant) and train a hybrid classifier that fuses features from strong CNN backbones. evaluation metrics: Accuracy/Loss curves, ROC for all classes, confusion matrix, and a full metrics table.

Code & Notebooks

Computer Vision Transfer Learning Ablation Study

Lung–Colon Histopathology: Image Enhancement & Transfer Learning

Dataset: Lung–Colon Histopathology Images

This project applied sequential image processing techniques to enhance round nuclei in lung–colon histopathological images, followed by evaluation using MSE, RMSE, SSIM, and PSNR metrics. Five transfer learning models (ResNet50, DenseNet121, EfficientNet-B0, MobileNetV3, ViT-B/16) were explored, with the best model identified by accuracy and F1-score. An ablation study examined the impact of preprocessing.

Code & Notebooks

Computer Vision Vision Transformer Image Processing

Image Preprocessing & Quality Analysis with Vision Transformer

Dataset: Medical Image Preprocessing Experiments

This project applied sequential preprocessing and quality enhancement steps to medical images, followed by classification using a Vision Transformer (ViT). Performance evaluation achieved 87% testing accuracy, demonstrating the effectiveness of preprocessing in improving transformer-based models. The workflow included image quality analysis, evaluation metrics summarization.

Code & Notebooks

WORK EXPERIENCE

Trainer, Multidisciplinary Action Lab, Dept of Computer Science and Engineering, DIU (February 2024 to Present)

Collaborating in Computer Vision Projects, Especially in the area of Medical Imaging.
The task is to Produce High-quality Q1 Journals.

ACHIEVEMENT & ECA

Scholarship

Global Korea Scholarship (GKS) 2023

Achieved the fully-funded GKS scholarship 2023 by the Government of Republic of Korea while completing Bachelor of Science degree at Daffodil International University and studied one semester on-site in South Korea under the Semester Exchange Program.

Receiving Year: Fall 2023 — Dongseo University,SK 🇰🇷

Award

Research Award for Scholarly Publication in Reputed Indexed Journal

Recognized for scholarly publications in reputed indexed journals by the Division of Research and Department of Computer Science and Engineering, Daffodil International Uninversity.

Receiving Date: 20 May 2025

Bootcamp

Top Performer — CV & DL for Medical Data Analysis

Received token of appreciation for top performance in Computer Vision & Medical Image Analysis Bootcamp organized by Health Informatics Research Lab, Daffodil International University.

Receiving Date: 30 July 2025