Sami Rashid

Sami Rashid, Md Fahim Shahriar, Sumaiya Karim Katha, Ezharuddin Jubaer, Akm Moshiur Rahman Mazumder, Ashraful Islam, Mohsena Ashraf, Asif Mahmud, M Ashraful Amin

AI Agents in Healthcare: A Survey of Applications, Resources, and Challenges

2025 IEEE 23rd Student Conference on Research and Development (SCOReD), pp. 1-6, 2025

• algorithmic bias
• Medical education
• diagnostic imaging
• clinical decision support
• multi-agent systems
• medical consultation
• large language models
• AI Agents
• regulatory challenges
• explainability

• SDG 3Good Health and Well-being

Sabrina Masum Meem, Mohammed Tahmid Hossain, Sami Rashid, Ashraful Islam, Rashedur Rahman, Istiaq Ahmed, Asif Mahmud, Saadia Binte Alam, M Ashraful Amin

Resolution, Compression, and GAN-Enhanced Evaluation of YOLO Models on the Poribohon-BD Vehicle Dataset

2025 IEEE 23rd Student Conference on Research and Development (SCOReD), pp. 1-6, 2025

• YOLOv12
• YOLOv10
• Real-ESRGAN
• intelligent transportation systems
• YOLOv8
• resource-constrained environments
• vehicle detection
• Image resolution
• JPEG compression

• SDG 11Sustainable Cities and Communities

Noor Masrur, Nabarun Halder, Sami Rashid, Ashraful Islam, Tarem Ahmed

Performance Analysis of Ensemble and DNN Models for Decoding Mental Stress Utilizing ECG-Based Wearable Data Fusion

IEEE 12th International Black Sea Conference on Communications and Networking, pp. 276-279, 2024

• deep neural network
• mental stress detection
• electrocardiogram
• smartwatches
• Ensemble learning
• wearable devices
• real-time stress monitoring
• data fusion
• physiological signals

• SDG 3Good Health and Well-being

Md. Safirur Rashid, Md. Samin Morshed, Muhammad Usama Islam, Sami Rashid, Asif Mahmud, Ashraful Islam

Mycological Examination of Microscopic Fungi Images with Deep Learning and Gradient Weighted Class Activation Mapping Visualization

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-08, 2024

• pre-trained convolutional neural networks
• ResNet-101
• Grad-CAM
• transfer learning
• CNN architecture comparison

Sami Rashid, Tasnuba Badrul, Lishan Rafid, Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam

Ensemble and Deep Learning Approaches for Automated Screening of Anxiety, Depression, and Burnout in Medical Student Populations

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-10, 2024

• depression screening
• medical students
• naive Bayes
• information gain feature selection
• ensemble classifiers
• Burnout
• deep neural network
• student mental health
• Random forest
• automated mental health screening

• SDG 3Good Health and Well-being

Mahmudul Islam, Sami Rashid, Lishan Rafid, Tasnuba Badrul, Ashaful Islam, Beenish M Chaudhry

Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 1-10, 2024

• healthcare workers
• coping strategies
• occupational stress
• Stress management
• physiological signals
• wearable devices
• smartwatches
• psychological well-being
• usability evaluation
• mobile health

• SDG 3Good Health and Well-being