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, â€Performance Analysis of LDPC-based Rate Adaptive Relays over Nakagami Channelsâ€, 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 Codesâ€, 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 Artâ€, 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 Analysisâ€, 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 Responseâ€, 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