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Nisar Ahmed
PeerJ Reviewer
35 Points

Contributions by role
Reviewer 35

Contributions by subject area
Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Vision
Data Science
Graphics

Nisar Ahmed

PeerJ Reviewer

Summary

Nisar Ahmed holds a Ph.D. in Computer Engineering from the University of Engineering and Technology, Lahore, Pakistan. With over 13 years of dedicated research and professional experience, he has established a robust expertise in machine learning, deep learning, computer vision, data mining, and related fields. Dr. Ahmed has a significant research portfolio, demonstrated through numerous peer-reviewed publications and active involvement in diverse research projects.
His specialization lies in the perceptual quality assessment of digital images and videos, where he has contributed to advancements in visual content evaluation. His current research interests include pattern recognition, computer vision, and digital image and video processing. Dr. Ahmed's commitment to pushing the boundaries of technology and leveraging his expertise drives innovation in the field.

Artificial Intelligence Computer Vision Cryptography Data Mining & Machine Learning Data Science Multimedia Neural Networks Visual Analytics

Past or current institution affiliations

University of Management & Technology, Lahore

Work details

Assistant Professor

University of Management & Technology, Lahore
September 2025
Department of Informatics and Systems
In my role as Assistant Professor, I teach Information Assurance and Security courses at the undergraduate level and Data Science courses for MS/PhD students, focusing on applied machine learning, analytics, and secure computing practices. I actively contribute to the department’s academic and research ecosystem through curriculum development, student supervision, and mentoring. I serve on the Reviewer Board of the UMT Computing Journal, participate in the Conference Publication Committee, and support various scholarly and administrative initiatives that uphold research quality and academic integrity. My responsibilities also include evaluating research proposals, guiding student research projects, and contributing to departmental efforts to strengthen teaching, research, and publication standards.

Websites

  • Google Scholar
  • ResearcherId
  • GitHub
  • LinkedIn
  • ORCID

PeerJ Contributions

  • Reviewed 1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

January 31, 2025
A quality assessment algorithm for no-reference images based on transfer learning
Yang Yang, Chang Liu, Hui Wu, Dingguo Yu
https://doi.org/10.7717/peerj-cs.2654