DR SADIA NAZIM
| PERSONAL INFORMATION | |||
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| sadianazim.buic@bahria.edu.pk | |||
| Phone Ext. | 9260002 ext1387 | ||
| Research Areas / Expertise | Machine Learning/Deep Learning, Explainable AI (XAI), Generative AI, Agentic AI, Image processing and Cybersecurity | ||
| QUALIFICATION | |||
| Degree | Passing Year | Majors | University |
| PhD | 2025 | Computer Science | Universiti Kuala Lumpur, Malaysia |
| MS | 2021 | Computer Science | Hamdard University Karachi, Pakistan |
| MCS | 2003 | Computer Science | Islamia University Bahawalpur, Pakistan |
| BSc | 2000 | Math, Physics, Statistics | Islamia University Bahawalpur, Pakistan |
| TEACHING EXPERIENCE | |||
| Designation | From | To | Organization |
| Senior Lecturer | 13-Feb-2023 | Present | Bahria University E-8 Islamabad. |
| Lecturer | 11-Nov-2021 | 10-Feb-2023 | Salim Habib University Karachi, Pakistan |
| Lecturer | 20-Oct-2020 | 10-Nov-2021 | Usman Institute of Technology University, Karachi, Pakistan |
| Lecturer | 02-Jan-2006 | 10-Feb-2011 | RAYS Study Campus Allama Iqbal Open University, Pakistan |
Publications
Journals & Conferences
- Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM | PLOS ONE
- Diversified Analysis of Occlusion-Resiliency for Robot Vision in Medical Contexts | IEEE Access
- Multimodal malware classification using proposed ensemble deep neural network framework | Scientific Reports
- An Innovative Intrusion Detection Framework Using GAN-Augmented Deep Neural Network for Cross-Domain IoT-Cloud Security | Internet of Things
- An advanced comparative analysis of proposed deep learning architectures for musculoskeletal disorder classification | International Journal of Business Information Systems
- A Neoteric Ensemble Deep Learning Network for Musculoskeletal Disorder (MSD) Classification | Neural Network World
