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Asif Ameer

Asif Ameer

Lecturer
  • Department Of AI & Data Science
  • asif.ameer@nu.edu.pk
  • (041) 111-128-128
  • Ext: 582

Introduction

Mr. Asif Ameer has joined FAST in 2020 and working as a Lecturer in Department of Artificial Intelligence and Data Science. Before joining FAST, he has served in various organizations at national level. His core area of research is machine learning, deep learning and artificial intelligence. He has successfully completed various MOOC’s in the area of ML/DL with distinctions from well-renowned international organizations. He has published his research with joint collaboration of Kyungpook National University, South Korea.

Interest

Precision Agriculture (PA)

Precision Farming (PF)

Machine/Deep Learning

Computer Vision

Education

  • MS (Computer Science), 2018
  • University of Agriculture (Faisalabad)
  • BS (Computer Science), 2016
  • Riphah International University (Faisalabad)

Publications

1. Qureshi, S., Iqbal, S. M. Z., Ameer, A., Karrila, S., Ghadi, Y. Y., & Shah, S. A. Enhancing Drug-Target Interaction Predictions in Context of Neurodegenerative Diseases Using Bidirectional Long Short-Term Memory in Male Swiss albino mice Pharmaco-EEG Analysis. Heliyon IF(3.4).
https://www.sciencedirect.com/science/article/pii/S2405844024153108 

2. Alsolai, H., Qureshi, S., Zeeshan Iqbal, S. M., Ameer, A., Cheaha, D., Henesey, L. E., & Karrila, S. (2022). Employing a long-short-term memory neural network to improve automatic sleep stage classification of pharmaco-EEG profiles. Applied Sciences, 12(10), 5248,  IF(2.5).
https://www.mdpi.com/2076-3417/12/10/5248

Ameer, K., Bae, S. W., Jo, Y., Lee, H. G., Ameer, A., & Kwon, J. H. (2017). Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling. Food chemistry, 229, 198-207.

Collaborations at National and International Level

Detail of Funded Projects