ENGR. DR AMNA WAHEED
| PERSONAL INFORMATION | |||
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| 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 & Conferences
- 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
