Pritom Saha

About Me

Research

My research interests include Computer Vision, Deep Learning, Image Processing, and Medical Image Analysis.

Computer Vision

Visual understanding, feature extraction, representation learning, image processing, and intelligent visual recognition systems.

Object Detection

Deep learning-based object detection, lightweight architectures, multi-scale feature learning, attention mechanisms, and real-time detection.

Image Classification

CNN- and transformer-based classification, transfer learning, feature optimisation, model evaluation, and robust visual recognition.

Image Segmentation & Medical Image Analysis

Semantic segmentation, medical image segmentation, biomedical image analysis, boundary-aware learning, and AI-assisted healthcare applications.

Education

• Master of Science:

  Major : Artificial Intelligence (Feb 2024- Feb 2026)

  University of South Wales, Pontypridd

  Thesis : Wheelchair Components Detection Using YOLO Model and Web-Based Application

  Result: Distinction (Thesis Result 90 % Marks)

  Academic Supervisor Name: Professor Janusz Kulon

  Academic Supervisor Email: j.kulon@southwales.ac.uk

• Bachelor of Science :

  Major : BSc. in Computer Science and Engineering (2022)
  

  Daffodil International University, Dhaka, Bangladesh.

  Project/Thesis : “Stunting Factor Analysis using Machine Learning for Under Aged Children in the Developing Countries”

  Academic Supervisor Name: Mr. Al Amin Biswas

  Academic Supervisor Email: alamin.cse@diu.edu.bd

  Result : CGPA - 3.79 (In the Scale of 4.00)

• Higher Secondary Certificate (2016) :

  Group : Science

  Name of Institution : Notre Dame College, Mymensingh

  Result : GPA - 5.00 (In the Scale of 5.00)

Research Publications

My ResearchGate ID: ResearchGate

My Google Scholar ID: Google Scholar

1. Md Tomal Ahmed Sajib, Nazmul Huda Badhon, Imrus Salehin, Md Sakibul Hassan Rifat, Faysal Ahmmed, Pritom Saha, Nazmun Nessa Moon “ A comparative deep learning methodology for plant insect image classification: assessment of CNN architectures and augmentation techniques ”.

2. Imrus Salehin, Md. Shamiul Islam, Pritom Saha, S. M. Noman, Azra Tuni, Md. Mehedi Hasan and Md. Abu Baten “AutoML: A Systematic Review on Automated Machine Learning with Neural Architecture Search” in Journal of Information and Intelligence. Vol 1, No 4: November 2023, ISSN: 2949-7159, Elsevier. (Gold Open Access Journal from Elsevier).

3. Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Pritom Saha, Mejbah Ahammad , Shah Md Nazmul Alam, Md Saifur Rahman
“Beyond Words: Unraveling Text Complexity with Novel Dataset and A Classifier Application”

4. Marjuk Ahmed Siddiki, Md Naim Hossain, Mohammad Abu Tareq Rony, Ishtiak Ahmed, Pritom Saha, Shoykth Shaharior Satu, Mejbah Ahammad
“Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection ”

5. Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Pritom Saha, Mejbah Ahammad
“The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP”

6. Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Pritom Saha, Fatama Tuz Johora, Mejbah Ahammad, Shah Md Nazmul Alam, Md Saifur Rahman, Anindya Nag
“ Deciphering Diabetes: Illuminating Prognostic Insights with an Interpretable Machine Learning Framework”

Submitted

1. Pritom Saha, Janusz Kulon
“AI-Assisted Wheelchair Component Identification for Assistive Technology Maintenance Using YOLO-Based Object Detection” .

Ongoing Research Work

1. Pritom Saha, Faria Farzana Mukta, Ripa Chakraborty
“Stunting Factor Analysis and Prediction using Machine Learning Algorithm for Under Aged Children in Bangladesh”

Poster Presentations

A selection of my academic poster presentations showcasing my work in statistics, data analysis, and deep learning.

Real Life Application of Statistics

Course: Statistics and Probability
Topic: Real Life Application of Statistics
Instructor: Ms. Atia Sanjida Talukder

Car Parking Space Detection System Using Deep Learning

Course: Knowledge-Based Systems
Topic: Car Parking Space Detection System Using Deep Learning Model
Instructor: Peter Parody

The Role of Bayesian Belief Networks in Medical Diagnosis Applications

Course: Machine Learning and Autonomous Systems
Topic: Application of Bayesian Belief Networks in Medical Diagnosis
Instructor: Professor Janusz Kulon

Coding

Update Soon Github

Contact

Permanent Address:
Pritom Saha , Village: Joynagar, Post Office: Netrakona, Postal code: 2400, Thana: Netrakona, District: Netrakona, Bangladesh.
Phone: +44 746 636 4347 (Whats APP)
E-mail: pritomshcse@gmail.com pritom15-1807@diu.edu.bd

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