Bahria University

DR. KASHIF SULTAN

PERSONAL INFORMATION
Email	kashif.buic@bahria.edu.pk
Phone. Ext.	0345-5150569
Research Area	Applied Machine Learning, Data analysis, Mobile Networks
Number of Publications	22

QUALIFICATION
DEGREE	PASSING YEAR	MAJORS	UNIVERSITY
PhD	2019	Communication and Information Systems	University of Science and Technology Beijing, China
TEACHING EXPERIENCE
DESIGNATION	FROM	TO	ORGANIZATION
Network Administrator/Civil Instructor	01-Jan-2012	31-Aug-2012	Military College Jhelum
Assistant Professor	06-Sep-2019	31-Dec-2022	Bahria University Islamabad
Senior Assistant Professor	01-Jan-2023	31-Dec-2021	Bahria University Islamabad
Associate Professor	01-Jan-2025	Present	Bahria University, Islamabad Campus

Publications

Journals & Conferences

• Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks | IEEE Access
• Big Data Perspective and Challenges in Next Generation Networks | Future Internet
• Call Details Record Analysis: A Spatiotemporal Exploration toward Mobile Traffic Classification and Optimization | Information
• Dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in smart cities | Digital Communications and Networks
• DYNAMIC GROUP FORMATION IN COMPUTER SUPPORTED COLLABORATIVE LEARNING | ARPN Journal of Engineering and Applied Sciences
• Intelligent Tutoring Supported Collaborative Learning (ITSCL): A Hybrid Framework | International Journal of Advanced Computer Science and Applications,
• A Hybrid Approach for Feature Extraction and Classification Using Machine Learning Techniques | Pakistan Journal of Engineering and Technology, PakJET
• Lightweight Key Management Scheme Using Fuzzy Extractor for Wireless Mobile Sensor Network | Computers, Materials & Continua
• SLM Technique with Hadamard Transforms for PAPR Reduction | International Journal of Computer Networks and Communications Security
• Malaria Detection using Microscopic Image Analysis: A Convolution Neural Network Based Approach | Pakistan Journal of Engineering and Technology
• Deep Learning Driven Framework for COVID-19 Detection – A Mobile/Web Application | ARPN Journal of Engineering and Applied Science
• Mitigating Software Vulnerabilities through Secure Software Development with a Policy-Driven Waterfall Model | Journal of Engineering
• A smart monitoring and observation framework for aquaponics ecosystem | ARPN Journal of Engineering and Applied Sciences
• A Comparative Analysis of Automated Machine Learning Tools: A Use Case for Autism Spectrum Disorder Detection | Information
• Improving cache-enabled D2D communications using actor-critic networks over licensed and unlicensed spectrum | Journal of King Saud University - Computer and Information Sciences
• Artificial Intelligence (AI) Driven Automated Learning Management System | foundation university journal of engineering and applied sciences
• From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models | Computers
• Early Detection of Autism Spectrum Disorder Through Automated Machine Learning | Diagnostics
• Towards Efficient Vehicle Recognition: A Unified System for VMMR, ANPR, and Color Classification | Computers, Materials & Continua