Bahria University

Discovering Knowledge

DR. KASHIF SULTAN

PERSONAL INFORMATION
Email kashif.buic@bahria.edu.pk
Phone 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
Books and Reports
International Conferences
1 09/05/2019 – 10/05/2019 Beijing, China Understanding and Partitioning Mobile Traffic using Internet Activity Records Data - A Spatiotemporal Approach
2 12/01/2016 – 16/01/2016 Joint SLM and Modified Clipping Scheme for PAPR Reduction.
3 22/03/2017 – 23/03/2017 Where Big Data Meets 5G?
4 06/06/2015 – 07/06/2015 Improving PAPR Reduction for OFDM with Hybrid Techniques
5 09/05/2019 – 10/05/2019 A deep bidirectional LSTM recurrent neural networks for identifying humans indoor using channel state information
6 03/03/2016 – 04/03/2016 Melbourne, Australia Combined Resource Allocation System for Device-to-Device Communication towards LTE Networks
Journal Publications
1 2018 Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks
2 2018 Big Data Perspective and Challenges in Next Generation Networks
3 2019 Call details record analysis – A Spatiotemporal exploration toward mobile traffic classification and optimization
4 2021 Dynamic traffic congestion pricing and electric vehicle charging management system for the internet of vehicles in smart cities
5 2022 Lightweight Key Management Scheme Using Fuzzy Extractor for Wireless Mobile Sensor Network
6 2020 Intelligent tutoring supported collaborative learning (ITSCL): A hybrid framework” In: International Journal of Advanced Computer Science and Applications
7 2015 SLM Technique with Hadamard Transforms for PAPR Reduction
8 2022 Malaria Detection using Microscopic Image Analysis: A Convolution Neural Network Based Approach.
9 2021 A Hybrid Approach for Feature Extraction and Classification Using Machine Learning Techniques
10 2021 DYNAMIC GROUP FORMATION IN COMPUTER SUPPORTED COLLABORATIVE LEARNING
11 2023 Deep Learning Driven Framework for COVID-19 Detection – A Mobile/Web Application
12 2024 Mitigating Software Vulnerabilities through Secure Software Development with a Policy-Driven Waterfall Mode
13 2024 A smart monitoring and observation framework for aquaponics ecosystem
14 2024 A comparative analysis of automated machine learning tools: a use case for autism spectrum disorder detection
15 2024 Improving cache-enabled D2D communications using actor-critic networks over licensed and unlicensed spectrum

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