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Nadeem Sarwar
PeerJ Author
0 Points

Nadeem Sarwar

PeerJ Author

Summary

NADEEM SARWAR is a Senior Member of IEEE and working as an Assistant Professor at the Department of Computer Science, Bahria University, Lahore, Pakistan. He has 12 years of teaching and research experience. He has published more than 65 international and National Journal/conference publications in the last five years. He is also working as an Editorial Board Member for various research journals named CMC- Computers, Materials & Continua, Applied Computational Intelligence and Soft Computing, PLOS ONE, IET Software, Security and Communication Networks, International Journal of Telemedicine and Applications, Journal of Healthcare Engineering, Milestone transactions on medical Technometrics, Mathematics and Computer Science, SCIREA Journal of Computer. Worked for more than 25 journals as and reviewer and PC member. His research interests are smart healthcare, Artificial Intelligence, Computer Vision, Natural Language Processing, Machine learning, Data Science, Biological Computing, IoT, Cloud computing, Wireless Sensor Networks, Cyber security, Image Processing, Software Engineering, Precision in Agriculture.

Artificial Intelligence Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Internet of Things Natural Language & Speech Neural Networks Security & Privacy Sentiment Analysis Software Engineering Text Mining

Past or current institution affiliations

Bahria University

Work details

Assistant Professor

Bahria University
August 2018
Computer Science

Websites

  • ResearchGate

PeerJ Contributions

  • Articles 2
May 9, 2025
A novel facial expression recognition framework using deep learning based dynamic cross-domain dual attention network
Ahmed Omar Alzahrani, Ahmed Mohammed Alghamdi, M. Usman Ashraf, Iqra Ilyas, Nadeem Sarwar, Abdulrahman Alzahrani, Alaa Abdul Salam Alarood
https://doi.org/10.7717/peerj-cs.2866
March 20, 2024
Intelligent decision making for energy efficient fog nodes selection and smart switching in the IOT: a machine learning approach
Rahat Ullah, Muhammad Yahya, Leonardo Mostarda, Abdullah Alshammari, Ahmed I. Alutaibi, Nadeem Sarwar, Farhan Ullah, Sibghat Ullah
https://doi.org/10.7717/peerj-cs.1833