User:Mohammad Badhruddouza Khan/sandbox

= Mohammad Badhruddouza Khan = Mohammad Badhruddouza Khan (born in 1999) is a distinguished Bangladeshi professional with a diverse skill set encompassing biomedical engineering, machine learning, data analysis, web development, and authorship. He has made significant contributions to the field of artificial intelligence and has been instrumental in establishing the NeuralNet - Artificial Intelligence Club of KUET (Khulna University of Engineering & Technology), an organization dedicated to promoting the understanding and application of artificial intelligence concepts and technologies. Through his multifaceted expertise, Mohammad has demonstrated his passion for advancing the frontiers of technology and knowledge dissemination.

Education
Mohammad Badhruddouza Khan successfully completed his Bachelor of Science degree in Biomedical Engineering from Khulna University of Engineering & Technology, under the supervision of Dr. Mohiuddin Ahmad. His undergraduate research project focused on a significant topic titled "A Comprehensive Evaluation of Advanced Deep Learning Techniques for Accurate and Reliable Automated Diagnosis of Ophthalmic Disease." Through this research, Mohammad demonstrated his aptitude for tackling complex challenges in the field of biomedical engineering, specifically in the domain of automated diagnosis of ophthalmic diseases.

Research
Mohammad Badhruddouza Khan has published five conference paper, one book chapter and one journal. Here is a list of his publications:


 * 1) Automated Diagnosis of Diabetic Retinopathy Using Deep Learning: On the Search of Segmented Retinal Blood Vessel Images for Better Performance
 * 2) Feasible Detection of Breast Cancer Metastasis using a CNN-based Deep Learning Model
 * 3) Predicting AXL Inhibition of Chemicals using Molecular Descriptors and Machine Learning Methods
 * 4) A CNN-based CADx Model for Pneumonia Detection from Chest Radiographs with Web Application
 * 5) Automatic Segmentation and Shape, Texture-based Analysis of Glioma Using Fully Convolutional Network
 * 6) A CNN Based Deep Learning Approach for Leukocytes Classification in Peripheral Blood from Microscopic Smear Blood Images
 * 7) CNN Based Detection of the Severity of Diabetic Retinopathy from the Fundus Photography using EfficientNet-B5

Career
During his undergraduate studies, Mohammad Badhruddouza Khan gained valuable experience working as a data analyst at Alif Enterprise Z.o.o. Following his graduation, he transitioned into the role of web developer at TrendingByte, where he has been actively involved in the development of cutting-edge web applications. In addition to his professional responsibilities, Mohammad also serves as a machine learning instructor, offering guidance and support to fellow engineering students in their pursuit of machine learning projects.