Engr. Zahida Parveen
Lab Engineer
Department of Computer & Electrical Engineering
Foundation University Islamabad
Engr. Zahida Parveen received her B.S. degree in Electrical(Electronics) Engineering and MS in Electrical Engineering with Specialization of Control & Automation, followed by advanced studies in the field of Electrical and Computer Engineering. Her research interests include artificial intelligence, machine learning, deep learning, large language models (LLMs), signal processing, medical image analysis, robotics, and healthcare diagnostics.
Currently, Engr. Zahida Parveen is serving as a faculty member at Foundation University School of Science and Technology, where she is actively engaged in teaching, laboratory supervision, research, and academic development. Her work particularly focuses on AI-driven healthcare solutions, including lung disease diagnosis using explainable and multimodal deep learning frameworks.
- BS [ Electrical (Electronics) Engineering]
- MS [Electrical (Control & Automation)Engineering]
- 1. Image Processing
- 2. Neural Network
- 3. Deep Learning
- 4. Machine Learning
- 5. Bio medical Imaging
- 1. Parveen, Z., Alam, A., Shakir, H. (2017). Assessment of Quality of Rice Grain using Optical and Image Processing Technique. IEEE C-CODE.
- 2. Khan, M. U., Alam, A., Parveen, Z. (2017). Analysis of Defects on Hot and Cold Roll Coil using Image Processing Methods. IEEE ICET.
- 3. Parveen, Z., Hasan, Y., Alam, A., Abbas, H., Arif, M. U. (2018). Rice Classification using SCG Backpropagation and Inception V3. IEEE Computing Conference, London.
- Electronics Devices & Circuits Lab
- Signal & Systems Lab
- Circuit Analysis Lab
- Linear Circuit Analysis Lab
- Computer Communication & Networking Lab
- Applied Physics Lab
- Isntrumentation & Measurements
- Four years Experience in Bahria University, Karachi Campus (from 2015-2019)
- One year experience in Foundation University, Islamabad Campus (from 03/2025-current)