Bahria University

DR. KASHIF SULTAN

PERSONAL INFORMATION
Email	kashif.buic@bahria.edu.pk
Phone Ext.	0345-5150569
Research Areas / Expertise	Applied Machine Learning, Data analysis, Mobile Networks

Publications

Journals

• 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

Conferences

• Understanding and Partitioning Mobile Traffic using Internet Activity Records Data - A Spatiotemporal Approach | 28th Wireless and optical communication conference (WOCC2019) Beijing, China
• A deep bidirectional LSTM recurrent neural networks for identifying humans indoor using channel state information | 28th Wireless and optical communication conference (WOCC2019) Beijing, China
• Where Big Data Meets 5G?” | 2nd International Conference on Internet of Things, Data and Cloud Computing Cambridge city, Churchill College. University of Cambridge, United Kingdom.
• Improving PAPR Reduction for OFDM with Hybrid Techniques | 7th International Conference on Communication Software and Networks (ICCSN 2015) Chengdu, China.
• Joint SLM and Modified Clipping Scheme for PAPR Reduction. | 13th International Bhurbun Conference on Applied Science and Technology (IBCAST 2016) Islamabad, Pakistan.
• Combined Resource Allocation System for Device-to-Device Communication towards LTE Networks | 2015 2nd International Conference on Communication and Signal Processing Chengdu China.