Adnan Ahmed Rafique
Personal Information
Name
Email
Designation
Research Area
Phone
Google scholar Page
Scopus Page
Adnan Ahmed Rafique 
adnanrafique@upr.edu.pk 
Lecturer 
Computer Science 
+92 5824-960001  
Google Scholar  
Scopus  
Qualifications
Degree From To Major Institute/University
PhD CS (In Progress) 2018 2022 Computer Sciences Air University Islamabad
MS (CS) 2014 2016 Computer Sciences Abasyn University, Islamabad Campus
BS (CS) 2004 2008 Computer Science University of Azad Jammu & Kashmir, Muzaffarabad
Experience
Designation Organization From To
Lecturer The University of Poonch, Rawalakot March,2012 Till Date
Research Associate Intelligent Media Center September,2019 July,2022
Assistant Director UPE NCHD, Ministry of Professional and Technical Training April,2010 March,2012
Computer Instructor AJK IT Board February,2009 April,2010
District Program Manager Youth Parliament of Pakistan August,2007 February,2009
 
Affiliations
Capacity Institute/University
Research Associate Intelligent Media Center, Air University Islamabad
Lecturer University of Poonch Rawalakot
Visiting Researcher (Accepted) Norwegian University of Science & Technology
Reviewer Journal of Interconnection Networks (Journal)
Reviewer CMC-Computers, Materials & Continua (Journal)
Reviewer Intelligent Automation & Soft Computing (Journal)
Reviewer The Imaging Science Journal (Journal)
Reviewer Control and Cybernetics (Journal)
Reviewer Sustainability, MDPI (Journal)
Reviewer Applied Sciences (Journal)
Publications
Description
Maximum Entropy Scaled Super Pixels Segmentation for Multi-object Detection and Scene Recognition via Deep Belief Network (Multimedia Tools and Applications)
CNN based Multi-Object Segmentation and Feature Fusion for Scene Recognition (CMC)
Home energy management using hybrid meta-heuristic optimization technique (IMIS-2018)
Deep Network for Smart Precision Agriculture through Segmentation and classification of Crops (IBCAST 2022)
Identifying the evidence of speech emotional dialects using artificial intelligence: A cross-cultural study (PLoS ONE)
Salient Segmentation based Object Detection and Recognition using Hybrid Genetic Transform (ICAEM 2019)
Multi-Objects Segmentation for Indoor/Outdoor Scene Detection and Classification via Depth Images (IBCAST 2020)
Scene Understanding and Recognition: Statistical Segmented Model using Geometrical Features and Gaussian Naïve Bayes (ICAEM)
Robust Object Categorization and Scene Classification Over Remote Sensing Images via Features Fusion and Fully Convolutional Network (Remote Sensing)
Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations (IEEE ACCESS)
Automated Sustainable Multi-Object Segmentation and Recognition via Modified Sampling Consensus and Kernel Sliding Perceptron (Symmetry)