Muhammad Nabeel Asim
(Senior Research Officer)

Basic Information

Muhammad Nabeel Asim received his Bachelor degree from University of Management and Technology (UMT) and Master’s degree in Electrical Engineering from University of Engineering and Technology, Lahore, Pakistan. He has more than three years of research & development experience. Currently, he is a reviewer of many reputed Journals & Conferences.

  • Muhammad Nabeel Asim received his Bachelor's degree in Electrical Engineering from University of Management and Technology in 2014.
  • He received Master’s degree in Electrical Engineering from University of Engineering and Technology, Lahore in 2017.
 
Title Author JOURNAL / CONFERENCE Volume Year
A survey of ontology learning techniques and applications Muhammad Nabeel Asim, Muhammad Wasim, Usman Ghani, and Waqar Mahmood. Database The Journal of Biological Databases and Curation ( 1-24 ) DOI: 10.1093/database/bay101 2018
Muhammad Nabeel Asim, Muhammad Wasim, Usman Ghani and Waqar Mahmood. Database The Journal of Biological Databases and Curation 2018 DOI: 10.1093/database/bay056 2018
Selection of the Most Relevant Terms Based on a Max-Min Ratio metric for Text Classification Abdur Rehman, Kashif Javid, Haroon A. Babri and Muhamad Nabeel Asim Expert Systems with Applications 114 DOI: 10.1016/j.eswa.2018.07.028 2018
Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval Muhammad Wasim Muhammad Nabeel Asim, Usman Ghani, Zahoor Rehman, Seungmin Rho, and Irfan Mehmood Multimedia Tools and Applications DOI: 10.1007/s11042-018-6060-z 2018
Efficient Utilization of Cryptographic Resources in Embedded Computing Systems Muhammad Nabeel Asim,
Muhammad Salman Khalid,
Muhammad Idrees and
Abdur Rehman
IJCSNS International Journal of Computer Science and Network Security
VOL.17 No.10
2017
Comparison of feature selection methods in text classification on highly skewed datasets Muhammad Nabeel Asim,
Muhammad Wasim,
Muhammad Sajid Ali and
Abdur Rehman
First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT) DOI: 10.1109/INTELLECT.2017.8277634 2017
Effect of Pruning on Feature Ranking Metrics in Highly Skewed Datasets in Text Classification
Muhammad Nabeel Asim, Abdur Rehman and Muhammad Idrees
IJCSNS International Journal of Computer Science and Network Security
VOL.17 No.10
2017
Accuracy Based Feature Ranking Metric for Multi-Label Text Classification Muhammad Nabeel Asim, Abdur Rehman and Umar Shoaib International Journal of Advanced Computer Science and Applications 8(10) DOI:10.14569/IJACSA.2017.081048 2017
  • SETMOKE
  • Biomedical Question Answering System
  • Brand Monitoring Tool
  • RALT - Test Driver
  • Urdu Text Classification
  • Urdu Text Summarization
  • Social Media Surveillance
  • He has been working in KICS since 2016.
  • Natural Language Processing
  • Machine Learning
  • Deep Learning
  • Text Classification
  • Data Mining
  • Information Retrieval
  • Cell # +92 333 6915422
  • Email: nabeel.asim@kics.edu.pk