• An Machine Learning Framework for multiple cancer detection with optimized hyperparameters NEW
• Knee injury identification using Deep Neural Network NEW
• Federated Learning in Healthcare advancements NEW

Journals

SL No	Publication Title	Year
1	ContourTL-Net: Contour-Based Transfer Learning Algorithm for Early-Stage Brain Tumor Detection, International Journal of Biomedical Imaging N. I. Md. Ashafuddula and Rafiqul Islam	2024
2	IVE-MDNet: Intensity Value Estimation Model Combined with a Transfer Learning Approach for Melanoma Skin Cancer Diagnosis, SN Computer Science N. I. Md. Ashafuddula and Rafiqul Islam	2024
3	An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application, Applied Computational Intelligence and Soft Computing N. I. Md. Ashafuddula, Bayezid Islam, Rafiqul Islam	2023
4	Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value Estimation with Convolutional Neural Network, Computer Science N. I. Md. Ashafuddula and Rafiqul Islam	2022

Conference

SL No	Publication Title	Year
1	A machine learning approach to detect self-care problems of children with physical and motor disability, International Conference of Computer and Information Technology (ICCIT) Bayezid Islam, N. I. Md. Ashafuddula, and Firoz Mahmud	2018

• (2017) Inter department cricket tournament Runner-Up, RUET
• (2016-17) Participation award from a National Hackathon, Dhaka
• (2016) 1st Runner-Up in IEEE Robodroid Championship, নিরপদ সড়ক (Android application)
• (2016) Inter department cricket tournament champion, RUET
• (2015) Organized NCPC at RUET
• (2015) 4th position, programming contest, NCPC at RUET
• (2015) Participation award from a photography exhibition, Dhaka, (Raindrop photography exhibition)

Date Duration	Degree
26 Dec, 2019 - Jan-30, 2023	MSc. Engineering in Computer Science & Engineering CGPA: 3.75 (Honors) / 4.00 Dhaka University of Engineering & Technology (DUET), Gazipur, Dhaka. Thesis: Skin cancer detection utilizing intensity value estimation model with a deep neural network. Thesis Advisor: Professor Dr. Rafiqul Islam, CSE, DUET
16 Mar, 2013 - 09 Oct, 2018	BSc. Engineering in Computer Science & Engineering CGPA: 3.23 / 4.00 Rajshahi University of Engineering & Technology (RUET), Rajshahi. Thesis: Cold-start recommendation system using K-nearest neighbors and decision tree in movie rating predictions. Thesis Advisor: Assistant Professor Biprodip Pal, CSE, RUET
2010 - 2012	Higher Secondary School Certificate (HSC) Bogura Cantonment Public School and College, Bogura. GPA: 5.00 / 5.00 Group: Science
2009 - 2010	Secondary School Certificate (HSC) Bogura Cantonment Public School and College, Bogura. GPA: 5.00 / 5.00 Group: Science

Degree	Courses
MSc in CSE	Courses: Advanced Image Processing, Advanced Algorithm Design and Analysis, Medical Image Processing, Machine Learning, Cloud Computing, and Neural Network.
BSc in CSE	Courses: Computer Programming, OOP (C++ and Java), Data Structure, Discrete Mathematics, Digital Techniques Algorithms Design & Analysis, Data Communication, Operating System, Computer Network, Computer Architecture, Data Base Systems, Microprocessors & Assembly Language, Artificial Intelligence & Expert System, Neural Networks & Fuzzy Systems, Parallel and Distributed Processing, Computer Graphics.

• (2022) Basic Banking Training Basic Banking Training completion certificate, BMBTI, training provided by Mercantile bank
• (2018) Machine Learning Machine Learning course provided by Andrew Ng (Coursera), Authorized by stanford university
• (March 2017 – September 2017) Top-Up IT training on Java Top-Up IT training on Java organized by BCC under LICT project, certified by George Washington University, USA, Training time was 300 hours on Java & Core Java

Time Period	Company	Location	Responsibilities
(2018-2019)	Avis Technologies Ltd	Panthapath, Dhaka	Role: Designing and developing advanced android applications. Tools: Android Studio, Google Cloud Services (Map, Database, Firebase Auth) Databases: MsSql, Mysql, Firebase DB Others: Bug fixing and improving application performance, Publishing App on Google Play Store ensuring app responsiveness, Developing and integrating APIs.
(2019-2020) and (2021-2022), 10m	MedEasy	Banasree, Dhaka	Role: Analyzing users data to predict possible treatments using Machine Learning techniques, Android app development consultation. Tools: Android Studio, Google Colab, Anaconda, MS Excel Databases: MsSql, Mysql Others: Requirement analysis & feature improvement, Ensuring the best possible performance, Ensuring app responsiveness, Bug fixing, and improving application performance.
(Feb, 2022-present)	Mercantile Bank	Dhaka	Role: Designing and developing the front-end of applications through appealing visual design, Developing and managing well-functioning Mobile application, databases and applications, Writing effective APIs, Writing technical documentation, Building high availability components. Tools: Android Studio, IntelliJ, VSCode Databases: MS SQL

(2024) MBL Form C Android App, Online remittance declaration form
(2022) MBL CorporatePay Corporate Internet Banking Service, Mercantile bank
(2019-2020) MedEasy (DaktarBondhu) Android app
(March 2017 – September 2017) Office pick and Drop Android app
(2019) Office Inventory management Android app
(2018-2019) Light of Hope Call home service through smart phone, Android app