Dr. Muhammad Asad SCIT - BNU

Dr. Muhammad Asad is an Assistant Professor at the School of Computer & Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. He specializes in machine learning, deep learning, and structural health monitoring of railway infrastructure, combining academic research with hands-on project implementation experience across Europe and Asia.

His research focuses on anomaly detection, neural network-based damage localization for railway steel bridges, deep learning for point cloud and image processing, and applications in environmental monitoring and medical imaging. Dr. Asad has contributed to international projects under EU-NextGenerationEU and Italian Ministry of University and Research grants, and has extensive experience in academic teaching, research supervision, and scientific publication.

• PhD in ICT-Information Engineering, University of L’Aquila, Italy
• PhD Summer School, Multi-Agent Systems, Czech Technical University, Prague, Czech Republic
• Master’s in Computer Software Engineering, National University of Sciences & Technology, Islamabad, Pakistan
• Bachelor’s in Software Engineering, University of the Punjab, Lahore, Pakistan

• Assistant Professor, School of Computer & Information Technology, Beaconhouse National University (BNU), Lahore
• Research Assistant, IRS Lab – UnivAQ, L’Aquila, Italy (04/2022 – Present)
  Projects: Feature extraction and neural network-based anomaly detection for railway steel bridges under CommNET Project (EU-NextGenerationEU & RFI Italy)
  Techniques: RBF, GELU, DNNs, Transformer-based models for damage localization and alert generation
• Research Assistant, NMS Lab, Hsinchu, Taiwan (09/2021 – 10/2022)
  Projects: Object localization using LiDAR and mmWave data, deep learning-based image denoising and watermarking
• Research Assistant, Multimedia Lab – Academia Sinica, Taipei, Taiwan (09/2018 – 09/2021)
  Tasks: Neural network development, numerical analysis of loss functions and activation functions
• Lecturer, The University of Lahore – Islamabad, Pakistan (01/2017 – 06/2018)
  Courses: Data Mining, Data Structures, Programming Fundamentals, Database Systems
  Responsibilities: BS FYP supervision, MS co-supervision, committee membership
• Lecturer, Govt Post Graduate College – Civil Lines, Lahore, Pakistan (10/2015 – 10/2016)
• Research Assistant, Biomisa Lab – CEME, NUST, Islamabad, Pakistan (07/2014 – 08/2017)
• Software Developer, Agile Technologies – PUCIT Lahore, Pakistan (07/2011 – 08/2012)

• Asad, M., Alaggio, R., Cirella, R., Costantini, S., & Gasperis, G. D. (2025). Semi-Supervised Anomalies Detection and Localization For Railways Steel Bridges Using Parallel Dual Level Class Classification Approach. ACM Transactions on Sensor Networks. Under Submission.
• Asad, M., Alaggio, R., Cirella, R., Costantini, S., & Gasperis, G. D. (2025). Vibration-Based Machine Learning Model Training for Railway Bridges Health Monitoring. IEEE Sensors. Submitted, Under Review.
• Muhammad Asad, Giovanni De Gasperis, & Stefania Costantini (2024). RBF Based NN Architecture for Structural Health Analysis of Railway Steel Bridges. AIxIA Doctoral Consortium 2023, Rome, Italy.
• Muhammad Asad. Machine Learning Based Ambient Analysis of Railway Steel Bridges for Damage Detection. In: Novais, P., et al. Ambient Intelligence – Software and Applications – ISAmI 2023. Lecture Notes in Networks and Systems, vol 770. Springer, Cham.
• Muhammad Asad, Rahman Wali, Muhammad Zubair Rehman, et al. Removing Disabilities: Controlling Personal Computer Through Head Movements and Voice Command. 12th IEEE International Conference on AICT2018, Almaty.
• Muhammad Asad, Hafiz Muhammad Faisal, Shafique Ahmed, et al. Requirement Elicitation of Real Time Systems by Case Base Reasoning. 11th IEEE International Conference on AICT2017, Moscow.
• Muhammad Asad, Shafique Ahmed. Model Driven Architecture for Secure Software Development Life Cycle. Int. J. Computer Science and Information Security, vol. 14, no. 6, 2016.
• Muhammad Asad. Optimized stock market prediction using ensemble learning. 9th IEEE International Conference on AICT, Rostov-on-Don, 2015.
• Zeeshan Asaf, Muhammad Asad, Shafique Ahmed, et al. Role based access control architectural design issues in large organizations. 8th IEEE International Conference on ICOSST, Lahore, 2014.
• Muhammad Asad, Shafique Ahmed, Arslan Idris, Arslan Amjad. Survey: Requirement Elicitation of RTS by Case Base Reasoning. 3rd National C & IT Symposium, Rawalpindi, 2014.

• COMM-NET: Monitoring Railway Steel Bridges Using Sensor Data (Oct 2022 – Present)
  Feature extraction, anomaly detection, and structural health monitoring using RBF, GELU, and DNN models for time- and frequency-domain analysis.
• Anomaly Detection in PM2.5 By Unsupervised Learning (2018 – 2019)
• Preventing Blindness: Detection of Diabetic & Non-Diabetic Retinopathic Patients (2019)
• Abstract Classification of arXiv Research Papers (2019 – 2020)
• Twitter Mood Prediction & its Implications on the Travel Industry During COVID-19 (2020)

• Engineering of Structures: Tension, Dartmouth College @ Coursera (March 2024)
• Data Science Methodology, IBM @ Coursera (August 2023)
• Automated Reasoning, EIT Digital @ Coursera (July 2023)
• Tools for Data Science, IBM @ Coursera (March 2023)
• Safety Courses, University of Pavia (Dec 2022)
• Introduction to Google SEO, UC Davis @ Coursera (May 2022)
• Data Analysis with Python, IBM @ Coursera (April 2021)
• Research Ethics, NCTU Taiwan (March 2021)
• Neural Networks and Deep Learning, deeplearning.ai @ Coursera (Jan 2021)
• What is Data Science?, IBM @ Coursera (Dec 2020)

• Python (Pytorch, Tensorflow, Pandas, Numpy, BioPython, scikit-learn, Google CoLab etc)
• R
• C++
• Weka, Rapidminer & Rational Rose tools

• Reviewed a research article for IEEE Canadian Journal of Electrical and Computer Engineering -2025.
• Reviewed a research article for Concurrency and Computation: Practice and Experience-2024.
• Reviewed a research article for International Transactions on Electrical Energy Systems-2020.
• Reviewed a research article for Canadian Journal of Electrical and Computer Engineering-2020
• Reviewed a research article for Canadian Journal of Electrical and Computer Engineering-2019
• Reviewed research article for Concurrency and Computation: Practice and Experience-2019

• Email Address: muhammad.asad@bnu.edu.pk