Portrait of Mehedi Hassan, PhD

Mehedi Hassan, PhD

  • Collaborator, HCI Wing

Instructor, University of Arkansas

Publications (2)

Nabarun Halder, Tunisha Yanoor Bristy, Mohammad Arshad Hossain Ratul, Md Zahangir Alam, Mehedi Hassan, Ashraful Islam, M. Ashraful Amin

Performance Analysis of Machine Learning Models for Detecting Anomalous Traffic in Internet of Medical Things

2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC), pp. 482-487, 2025

Conference PaperDOIURL
  • Decision tree
  • Internet of Medical Things
  • Information gain
  • naive Bayes
  • Random forest
  • feature dimensionality
  • cyberattack detection
  • Feature selection
  • Logistic regression
  • network intrusion detection
  • SDG 3Good Health and Well-being

Tasmia Tahmida, Syed Tangim Pasha, Mehedi Hassan, Ashraful Islam, M. Ashraful Amin

Integrating Supervised and Self-Supervised Models for an Enhanced PCOS Detection: A Data-Driven Approach with Machine Learning Perspective

2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC), pp. 499-503, 2025

Conference PaperDOIURL
  • polycystic ovary syndrome
  • BYOL
  • Autoencoder
  • self-supervised learning
  • PCOS diagnosis
  • Gaussian naive Bayes
  • Supervised learning
  • SimCLR
  • unlabeled data
  • support vector classifier
  • SDG 3Good Health and Well-being
  • SDG 5Gender Equality
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