Dr. Mehtab Afzal


Associate Professor/HOD

Computer Science and IT

Biography

Dr. Mehtab Afzal, holds a Ph.D. in Computer Applied Technology, earned from the School of Information Science and Technology at Southwest Jiaotong University, Chengdu, Sichuan, China in 2016. During his doctoral journey, he was under the expert guidance of Prof. Xiao Wu, where his research primarily revolved around harnessing semantic technologies for web-based applications. Currently, Dr. Mehtab serves as an Associate Professor and Head of the Computer Science & IT Department at The University of Lahore, Pakistan. Dr. Mehtab's scholarly endeavors are showcased through his numerous publications in esteemed international journals and conferences, including Knowledge-based Systems (Elsevier), Neurocomputing (Elsevier), International Journal of Communication Systems (Wiley), and the International Conference on Multiple Classifiers Systems (Springer), to name a few.

Furthermore, Dr. Mehtab's dedication to knowledge dissemination is exemplified by his authorship of couple of books, published in collaboration with Lambert Academic Publishing in Germany. Beyond his role as an author, Dr. Mehtab actively engages in scholarly peer-review, contributing his expertise as a Reviewer for esteemed journals and conferences such as Multimedia Systems (Springer), Computers and Electrical Engineering (Elsevier), and Knowledge-based Systems (Elsevier). Highlighting his leadership in the academic community, Dr. Mehtab served as the General Chair for the 4th International Conference on Advancements in Computational Sciences (ICACS’23), a testament to his commitment to advancing the frontiers of computational science. Dr. Mehtab Afzal's research interests encompass a wide spectrum, including Computer Vision, Multimedia Information Retrieval, and the ever-evolving realm of Big Data.

Education

SrNo. Year Degree Board/University
1 2016 PhD (Computer Science) Southwest Jiaotong University, Chengdu, Sichuan, C

Experience

SrNo. From To Category Designation Organization
1 February 2022 Still Academic Experience Associate Professor The University of Lahore
2 October 2016 January 2022 Academic Experience Assistant Professor The University of Lahore, Lahore, Pakistan.

Publications

SrNo. Title
1 5G-EECC: Energy-Efficient Collaboration-Based Content Sharing Strategy in Device-to-Device Communication
2 A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation
3 Detection of impostor and tampered segments in audio by using an intelligent system
4 ROCA: Auto-resolving overlapping and conflicts in Access Control List policies for Software Defined Networking
5 SISME, Estuarine Monitoring System Based on IOT and Machine Learning for the Detection of SaltWedge in Aquifers: Case Study of the Magdalena River Estuary
6 Extraction of Opinion Target Using Syntactic Rules in Urdu Text
7 Multi-Path Service Function Chaining for Mobile Surveillance of Animal Husbandry
8 Comparison of multiple deep models on semantic segmentation for breast tumor detection
9 Detection of Imposter and Tampered Segments in Audio Recording using as Intelligent System
10 ROCA: Auto-Resolving Overlapping and Conflicts in ACL Policies for SDN
11 Multi-Path Service Function Chaining for Mobile Surveillance of Animal Husbandry
12 Comparison of multiple deep models on semantic segmentation for breast tumor detection
13 "Web video classification with visual and contextual semantics "
14 Web video classification with visual and contextual semantics
15 A Base Level Ontology for Disaster Management
16 Web Video Categorization using Category-Predictive Classifiers and Category-Specific Concept Classifiers
17 Semi-supervised Evolutionary Ensembles for Web Video Categorization
18 Personalized Information Seeking Powered by Mobile Ontology for Sightless Residents of under Developing States
19 Reliable Routing Scheme for VANETs in City Environment
20 Semi-Supervised Clustering Ensemble for Web Video Categorization
21 Gleaning Disaster Related Information from World Wide Web using Gate
22 Conceptualization and Extraction of Disaster Related Information from Unstructured World

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