Bahria University

Discovering Knowledge

ENGR. DR AMNA WAHEED

Faculty Photo
PERSONAL INFORMATION
Faculty Photo
Email aminawaheed.buic@bahria.edu.pk
Phone Ext. 051-9259500
Research Areas / Expertise Artificial intelligence & Machine Learning, Medical Imaging and Signal Processing
QUALIFICATION
Degree Passing Year Majors University
Bachelors in Computers Engineering 2013 Computer Engineering Bahria University Islamabad
MS Electrical Engineering 2017 Computer Engineering College of Electrical and Mechanical Engineering, NUST, Rawalpindi
PhD Dissertation 2024 Analysis of Physiological Signals Bahria University, Islamabad
TEACHING EXPERIENCE
Designation From To Organization
Visiting Lecturer 01-Aug-2015 12-Jan-2016 Bahria University, Department of Electrical Engineering
Lab Engineer 12-Aug-2016 01-Sep-2016 Bahria University, Department of Computer Engineering
Lecturer 01-Nov-2016 01-Aug-2019 Bahria University, Department of Computer Engineering
Senior Lecturer 01-Aug-2019 01-Jun-2021 Bahria University, Department of Computer Engineering
Assistant Professor 01-Jun-2021 01-Jan-2025 Bahria University, Department of Computer Engineering
Senior Assistant Professor 01-Jan-2025 Present Bahria University, Department of Computer Engineering

Publications

Journals
  • An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals | Sensors 2022
  • Removal of False Blood Vessels Using Shape Based Features and Image Inpainting | Journal of Sensors
  • Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels | Journal of Medical Systems
  • Person identification using vascular and non-vascular retinal features | Computers & Electrical Engineering
  • Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach using Physiological Signals for Robust Emotion Recognition | IEEE Access
Conferences
  • Intelligent Actor Mobility with Event Tracking in Wireless Sensor and Actor Networks | International Conference on Parallel Processing Workshops (ICPPW), Philadelphia, PA, USA
  • A robust non-vascular retina recognition system using structural features of retinal image | 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad Pakistan
  • A robust algorithm for segmentation of blood vessels in the presence of lesions in retinal fundus images | 2015 IEEE International Conference on Imaging Systems and Techniques (IST)
  • Robust extraction of blood vessels for retinal recognition | Robust extraction of blood vessels for retinal recognition
  • An efficient machine learning approach for the detection of melanoma using dermoscopic images | 2017 International Conference on Communication, Computing and Digital Systems (C-CODE)
  • An efficient machine learning approach for the detection of melanoma using dermoscopic images | 2017 International Conference on Communication, Computing and Digital Systems (C-CODE)
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