Professional Experience
October 2023 - to date
Head of Department
Fatima Jinnah Women University, The Mall, Rawalpindi
February 2009 - November 2025
Assistant Professor
Fatima Jinnah Women University, The Mall, Rawalpindi
February 2011 - March 2014
• Multimedia & Communications Lab Instructor
University of Stuttgart
October 2005 - March 2006
• Associate Software Engineer
Elixir Technologies, Islamabad, Pakistan
PUBLICATIONS/CONFERENCES
· B. B. Chaoudhry, S. A. Hassan, J. Speidel, ”Performance Analysis of LDPC-based Rate Adaptive Relays over Nakagami Channels”, Proceedings of the IEEE Vehicular Technology Conference (VTCFall), Aug 2018, Chicago United States.
· B. B. Chaoudhry, S. A. Hassan, S.H.Ahmed, J. Speidel, “Energy Efficiency of a Decodeand-Forward Multiple-Relay Network with Rate Adaptive LDPC Codes”, Sensors –Journal, Vol. 19, Issue 21, Nov2019.
· Sabeen Mehmood, Fatima Khalique, B.B. Chaoudhry and Abdul Rauf, “Service Oriented Cloud Computing- The State of the Art”, Journal of Intelligent Systems and Computing (JISCOM), Vol 1, Issue 1, Dec, 2020
· Fatima Khalique, Mariam Hamdani, Sabeen Mehmood, B.B. Chaoudhry and Abdul Rauf, “A Compendium of Classification Techniques, Tools and Evaluation DataSets for Twitter Sentiment Analysis”, Journal of Intelligent Systems and Computing (JISCOM), Vol 1, Issue 1Dec Dec, 2020
· M. Khan, H. Anum, S.S Batool, B.B Chaoudhry, “Smart Home with Wireless Smart Doorbell with Smart Response”, International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Oct, 2021
· B. B. Chaoudhry, I. Matloob, N. Firdous, S. Yaqoob and R. Khalid,” Performing Walkthrough Energy Audits in Smart Homes,” 2023 International Conference on Communication, Computing and Digital Systems (C-CODE), Islamabad, Pakistan, 2023, pp. 1-6.
· Matloob I, Khan S, Bashir B, Rukaiya R, Khan JA, Alfraihi H. 2025. Data driven healthcare insurance system using machine learning and blockchain technologies. PeerJ Computer Science 11:e2980 https://doi.org/10.7717/peerj-cs.2980
· Shakeel A, Satti AT, Shoukat H, Matloob I, Bashir B, Alfrahi H, Khalid S, Khan H. 2025. A Deep Learning Framework for Burn Patient Analytics: Predictive Modeling, Anomaly Detection and Image Classification. PeerJ Computer Science (Accepted)
· A. Nadeem, B. Bashir, I. Matloob, “Deep Learning-Based Real-Time Burn Severity Analysis using Android-Based Deployment,” 2025 International Conference on Frontiers of Information Technology (FIT), COMSATS, Islamabad, Pakistan. (Accepted)
RESEARCH PROJECTS
1. Bachelors Projects (Selective)
o Burn Injury Segmentation and Severity Assessment using Transformer-Based Deep Learning Models
o Food Ingredient Recognition for Personalized Allergy Detection using OCR and Deep Learning models for Unpackaged Food
o Development of Virtual Companion for Fostering Student Mental Well-being, an NLP-based Approach
o A Generative-AI based Meme Generator based customized Transformers
o Channel Estimation Techniques for Relay Assisted Communications (A Research Seminar)
o Calculation of Log-Likehood Ratios for M-ary Quadratur Amplitude Modulation (M-QAM)
1. MS Thesis
o Performance Analysis of LDPC Codes for Wireless Fading Channels
o Performance Analysis of Decode and Forward Relay Assisted Communication based on Selection Combining.
o Indoor Localization using Wi-Fi Signals with Machine Learning Algorithms
2. PhD Research: Performance analysis of rate adaptive wireless communication system with regenerative relaying using low density parity check codes
