Team

Four faculty members of the Department of Computer Engineering, led by Dr. Ikram Ullah Khosa.

Faculty

Graduate research

PhD and MS theses supervised by Dr. Ikram Ullah Khosa, as listed on his CUI profile.

  1. PhD, in progressHuman Gait Analysis and Identification using Pose Estimation
  2. PhD, in progressA Hybrid Deep Learning Approach for Concealed Object Detection in Millimeter Wave Imaging
  3. PhD, in progressOptimum Feature Extraction in Electromyography (EMG) Data for Human Limb Classification
  4. MS, 2023Computer Vision-based Forensic Assistance for Weapon Identification
  5. MS, 2022Foot Infection Classification in Diabetic Patients using Thermographic Images
  6. MS, 2022Blood Glucose Forecasting in Type 1 Diabetes Mellitus Patients using Machine Learning Techniques
  7. MS, 2021Anomaly Detection and Short-term Forecasting in Electrical Load using Machine Learning
  8. MS, 2020Improving Detection and Localization of Concealed Objects in Passive Millimeter Wave Images via Super Resolution
  9. MS, 2019Binary and Multi-class Classification of Breast Cancer in Histopathological Images using Neural Networks
  10. MS, 2019Economic Risk Assessment and Estimation of Associated Factors Due to Major Power Outages
  11. MS, 2019Photovoltaic Cell Health Assessment using Image Processing and Neural Networks
  12. MS, 2019Financial Risk Assessment based on Disaster-induced Power Outages
  13. MS, 2018Short term and Medium term Electrical Load Forecasting for an Urban 11 KV Feeder
  14. MS, 2017Pattern Classification in Mammographic Images for Breast Cancer Detection