Ms. Aleena Kamal

Lecturer

Department of Engineering Technology

Foundation University Islamabad

Engr. Aleena Kamal is a Lecturer in Biomedical Engineering Technology at Foundation University and a researcher specializing in artificial intelligence, computer vision, and signal processing for healthcare applications. She completed her MS in Biomedical Engineering from Riphah International University with distinction and holds a Bachelor’s degree with distinction, earning the Chancellor’s Gold Medal. Her work focuses on AI-driven multimodal systems for human movement analysis and telerehabilitation. Her research interests include biomechanical modeling, pose estimation, and multimodal data fusion, with multiple publications in reputed journals and conferences.

  1. Toward intelligent rehabilitation: Multimodal human pose modeling with parametric meshes and graph-based temporal reasoning (Digital Health)
  2. SleepCode: A Novel Attention-Driven Multimodal Framework for Sleep Staging and Obstructive Apnea Screening (IEEE Transactions on Consumer Electronics)
  3. Predictive modelling of osteoporosis and effect of BMI on the risk of fracture in femur bone using COMSOL Multiphysics: a computational modelling approach (Indonesian Journal of Electrical Engineering and Computer Science)
  4. Holistic Pose Estimation and Dynamic Motion Analysis for Telerehabilitation of Physically Disabled Individuals (IEEE Access)
  5. Blue light therapy device for wound healing (Indonesian Journal of Electrical Engineering and Computer Science)
  6. Blue Light Therapy: A Skin Treatment Mask using Blue Light to cure Skin Disorders (Sukkur IBA Journal of Emerging Technologies)

  1. Enhancing Maternal Balance: Comparative Analysis of Plantar Pressure Distribution Across and Visual Feedback Within Pregnancy Trimesters (Springer Nature (Part of the book series: Infosys Science Foundation Series (ISFM)))

  1. Multimodal 2.5D Feature Fusion and LSTM Classifier for Telerehabilitation (International Conference on Innovative Computing (ICIC))
  2. A Novel Gaussian Body Segmentation and 3D Point Cloud for Elderly Activity Recognition (International Conference on Innovative Computing (ICIC))
  3. SKEP-Net: Depth-based Human Pose Monitoring and Exercise Recognition using GMM- Segmentation (International Conference on Engineering & Computing Technologies (ICECT))
  4. Revolutionizing Pregnancy Monitoring: Machine Learning for Trimester Classification Using Biomechanical Data (International Conference on IT and Industrial Technologies (ICIT))
  5. Simulating Blue Light Therapy for Enhanced Wound Healing Using COMSOL Multiphysics (International Conference on Frontiers of Information Technology (FIT))
  6. Detecting Stress from Competitive Gaming using Machine Learning-Based ECG Classification (Horizons of Information Technology and Engineering (HITE))

  • Clinical Laboratory Equipment
  • Applied Physics
  • Electronic Devices and Circuits Lab