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Mahzaib Younas

Mahzaib Younas

Lecturer
  • Department of Computer Science
  • mahzaib.Younas@nu.edu.pk
  • (041) 111-128-128
  • Ext: 177

Introduction

Mahzaib Younas is working as a Lecturer in the Department of Computer Science at National University of Computer and Emerging Sciences. She did her MS in Computer Science from University of Agriculture, Faisalabad in 2022. She earned her graduate degree in the field of Computer Science from the University of Agriculture, Faisalabad.

 

Research Interest

1- Image Processing

2- Machine Learning

3- Deep Learning

4- Computer Vision

Education

M.S(Computer Science), University of Agriculture, Faisalabad, Pakistan (2022)

B.S(Computer Science), University of Agriculture, Faisalabad, Pakistan (2020)

Publications

  1. Younas, Mahzaib, Qamar Nawaz, Isma Hamid, Syed Mushhad Mustuzhar Gilani, and M. Javed Iqbal. “A novel approach of ceramic tile crack detection using morphological operations.” Mehran University Research Journal Of Engineering & Technology 41, no. 2 (2022): 146-154.  Indexed in Clarivate Analytics’ ESCI and WoS.
  2. Nawaz, Qamar, Mahzaib Younas, Isma Hamid, and Syed MushhadMustuzhar Gilani. “An Analysis of Edge Detection Methodologies in Spatial and Morphological Perspective.” Journal of Information Communication Technologies and Robotic Applications (2021): 11-20. Indexed in DOAJ (Directory of open Access Journals_ and WoS.
  3. Qadeer, Azeema, Qamar Nawaz, Syed Mushhad Mustuzhar Gilani, and Mahzaib Younas. “Yield Estimation of Citrus Fruit Using Color Based Segmentation and Circular Hough Transformation.” Journal of  Information Communication Technologies and Robotic Applications (2021): 20-27 Indexed in DOAJ (Directory of open Access Journals_ and WoS.

Under Processing

  1. Qamar Nawaz, Mahzaib Younas, Isma Hamid, and Syed Mushhad Mustuzhar Gilani. “Recurrent Neural Network Based Human Emotion Recognition using EEG brain signals” , 3rd International Conference on Computing and Information Technology (ICCIT), IEEE 2023

Collaborations at National and International Level

Detail of Funded Projects