Polash
Md. Saymon Hosen Polash

Md. Saymon Hosen Polash

About

I am a graduate of the Department of Computer Science & Engineering at East West University, Dhaka, Bangladesh, having completed my B.Sc. in CSE in February 2026 with a CGPA of 3.61/4.00. I specialize in machine learning for security, medical image analysis, and health informatics, with the goal of building practical, AI-based solutions to complex problems. I have multiple SCIE/Scopus-indexed publications and several peer-reviewed conference papers. My research explores ways to improve model performance and data processing so that decisions are accurate, robust, and interpretable.

Long-term Research Goal: To design interpretable, clinically applicable, and deployable AI systems for multi-cancer and neurological disease detection through multimodal imaging integration.

Research Interests: Precision AI in Healthcare | AI in Precision Agriculture | Medical Imaging | Machine Learning in Cybersecurity | Health Informatics

Academic History

  • B.Sc. in Computer Science & Engineering (2021–2026)
    East West University, Dhaka, Bangladesh — CGPA: 3.61/4.00
    Merit Scholarship (Full Free) for 4 Years
  • HSC (Science), 2020
    Rangpur Government College — GPA: 5.00/5.00
  • SSC (Science), 2018
    Ranisankail Pilot High School — GPA: 5.00/5.00

Research Interests

  • Precision AI in Healthcare
  • AI in Precision Agriculture
  • Medical Imaging & Diagnostics
  • Machine Learning in Cybersecurity
  • Health Informatics

What I Do

  • End-to-end ML pipelines (EDA → features → training → evaluation → deploy)
  • Deep learning for vision (CNNs) and NLP (Transformers)
  • Medical image classification and disease detection
  • Experimental design, reproducibility, and interpretability
  • Technical writing & publication preparation

Skills

Languages & Tools

Python R SQL Git Linux Jupyter

Data Science

Pandas NumPy Matplotlib Seaborn scikit-learn

Deep Learning

TensorFlow Keras PyTorch CNN Transfer Learning NLP / Transformers

Specializations

Medical Imaging Grad-CAM Explainable AI MLOps Research Writing

Certifications

365 Data Science

  • The Machine Learning Algorithms A-Z (Nov 2025)
  • Machine Learning Deep Dive: Business Applications (Nov 2025)
  • Advanced SQL for Data Engineering (Nov 2025)
  • Web Scraping and API Fundamentals in Python (Nov 2025)
  • Data Cleaning and Preprocessing with pandas (Nov 2025)

Other Certifications

  • Introduction to CIP — OPSWAT Academy (Nov 2025 - Oct 2026)
  • Walmart USA - Advanced Software Engineering Job Simulation — Forage (Nov 2025)
  • Certificate of Presentation — 14th International Conference on CSNT2025, VIT (Mar 2025)
  • EF SET English Certificate — 53/100 (B2 Upper Intermediate)

Experience

Graduate Teaching Assistant (GTA)

Department of Mathematics and Physical Sciences (MPS), East West University Current

Leading lab sessions, grading assignments, and mentoring undergraduate students in mathematics, physics, and computational courses.

  • Designed practice notebooks & mini-projects for hands-on learning.
  • Held office hours; improved student pass rates and engagement.

Remote Research Assistant

MSIP Lab, South Korea October 2025 – Present

Working under Prof. Jia Uddin, Ph.D. at MSIP Lab on AI/ML research projects focusing on medical imaging and deep learning applications.

  • Developing interpretable deep learning models for disease detection.
  • Collaborating on multimodal imaging integration research.

Undergraduate Teaching Assistant

Department of CSE, East West University 1 year 6 months

Led lab sessions, graded assignments, and mentored projects in Python, data analysis, and AI.

Machine Learning Engineer (Student Projects & Research)

Ongoing

Built robust ML/DL pipelines from data collection to deployment. Focus on reproducibility and clarity.

Projects

7 Cancer Types Classification

Cancer App Screenshot 1 Cancer App Screenshot 2 Cancer App Screenshot 3

Multi-class medical image classification system for analyzing various cancer types from medical images. Designed for potential clinical deployment with interpretable results.

Python · TensorFlow · CNN · Grad-CAM · Hugging Face

Brain Tumor Detection

CNN-based classification pipeline for brain tumor detection from MRI images with Grad-CAM visualization for interpretability.

Python · PyTorch · Medical Imaging · Explainable AI

LLM with RAG Integration

Developing an AI system with Large Language Models enhanced by Retrieval-Augmented Generation (RAG) for intelligent query processing.

Python · LangChain · Vector DB · OpenAI API

Student Performance Prediction

Predict academic outcomes using socioeconomic & behavioral features. Emphasis on interpretability.

Python · Pandas · scikit-learn · SHAP

Medical Image Classification (CNN)

CNN-based classification pipeline for early disease detection with careful augmentation and eval.

TensorFlow/Keras · OpenCV · Grad-CAM

Dengue Prediction Chatbot

Dengue Prediction Chatbot

An interactive assistant that predicts dengue risk based on user inputs and model outputs.

Hugging Face Space · Python · scikit-learn

Publications

Published

  • [Conference] Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data. 2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT). View Paper
  • [Conference] ECASCBAMNet: Ensemble of Attention-Enhanced Networks for Grape Leaf Disease Classification with Interpretability and Robustness. 2026 18th International Conference on Electronics, Computer, and Computation (ICECCO).
  • [Conference] A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification. arXiv preprint arXiv:2602.12484, 2026.
  • [Conference] Band Gap Prediction in 2D Materials via Machine Learning and Explainable AI: A Physics Inspired Approach. 2026 5th International Conference on Electrical, Computer and Communication Engineering (ECCE).
  • [Conference] Physics-Guided Machine Learning Approaches for Lithium-Ion Battery State-of-Health Prediction: A Comprehensive Benchmark Using the Oxford Dataset. 2nd International Conference on Frontiers in Science: Innovation and Research (ICFSIR).

Under Review

  • [Journal - MDPI BioMedInformatics] An Interpretable Deep Learning Approach for Brain Tumor Classification Using a Bangladeshi Brain MRI Dataset. Type: Article (Primary Author) — In Revision
  • [Journal - Indonesian Journal] Attention-Enhanced EfficientNet for Interpretable and Accurate Detection of Black Gram Disease
  • [IJITCS Journal] An AI-Driven Web Application for Anemia Detection: Integrating Optimized XGBoost with Explainability

Currently Working On

  • Review paper on Alzheimer's Disease (AI/DL focus)
  • Cotton Leaf Disease Detection

Supervisors & Mentors

Prof. Jia Uddin

Prof. Jia Uddin, Ph.D.

Professor, AI and Big Data Department

Endicott College, Woosong University, Daejeon, South Korea

Korean Researcher ID: 11310277 | Website

🏆 Top 2% Scientist in 2025 (topscinet.com)

Current Role: Research Supervisor (MSIP Lab) — October 2025 to Present

Dr. Ahmed Wasif Reza

Dr. Ahmed Wasif Reza

Professor & Dean

Faculty of Sciences and Engineering, East West University, Dhaka, Bangladesh

Ph.D., M.Eng.Sc., B.Sc. Engg., C.Eng. | 3,019 Research Interest Score | 3,044 Citations | 25 h-index

Role: Academic Supervisor & Mentor

Prof. Dr. Md. Saiful Islam

Prof. Dr. Md. Saiful Islam

Professor

Institute of Information and Communication Technology (IICT), BUET, Dhaka, Bangladesh

Ph.D. (BUET) | M.Sc. Engg. (Shanghai University) | B.Sc. Engg. (BUET)

Research: Software Engineering, Database, Optical Communications

📧 mdsaifulislam@iict.buet.ac.bd

Role: Research Collaborator & Advisor

Contact

Let's work together

Open to research collaborations, internships, and ML/DL projects in healthcare and AI.

✉️