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Muhammad Ali Farooq

Biography & Research Interests

Muhammad Ali Farooq is originally from Karachi-Pakistan (city of lights). Karachi is one of largest cities of Pakistan, with international seaport and is considered as business hub of Pakistan. He received his bachelors (BE) in electronic engineering from IQRA University in 2012 and Masters (MS) in electrical control engineering from National University of Sciences and Technology (NUST), Pakistan in 2017. He has recently finished his Ph.D. in electrical and electronic engineering from National University of Ireland (NUIG) and his research interests include machine vision, computer vision, video analytics, sensor fusion, and edge computing.

Research Avctivities

As a part of Phd research project I was working on HELIAUS project funded by European Union (EU). The HELIAUS project aims to deliver breakthrough thermal perception systems that will detect Long Wave Infra-Red light both for in-cabin passengers monitoring and for the car surrounding. Moreover, taking advantage of thermal imaging the core focus of this project is to improve object detection/ classification of the automotive sensor suite in all light and harsh weather conditions. For now, I have developed various in-cabin driver monitoring applications which includes smart thermal gender classification system, synthetic data generation, face detection, eye tracking and facial landmarks detection system using advanced machine learning algorithms. Moreover, recently I have developed 7 distant classes object detection systems in thermal spectrum for road-side environment monitoring systems using SoA CNN-YOLO framework
Lastly, I have been working to deploy these advanced end-to-end neural architectures on resource constrained and low power edge devices for real-time onboard installations.

Journal Publications

Muhammad Ali Farooq, Hossein Javidnia, Peter Corcoran, "Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system," J. Electron. Imag. 29(6) 063004 (18 November 2020) https://doi.org/10.1117/1.JEI.29.6.063004

M. A. Farooq, P. Corcoran, C. Rotariu and W. Shariff, "Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)," in IEEE Access, vol. 9, pp. 156465-156481, 2021, doi: 10.1109/ACCESS.2021.3129150

M. A. Farooq, W. Shariff and P. Corcoran, "Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems," in IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1130-1144, Feb. 2023, doi: 10.1109/TIV.2022.3158094

M. A. Farooq, W. Shariff, D. O’callaghan, A. Merla and P. Corcoran, "On the Role of Thermal Imaging in Automotive Applications: A Critical Review," in IEEE Access, vol. 11, pp. 25152-25173, 2023, doi: 10.1109/ACCESS.2023.3255110

Regular Conference Publications

M. A. Farooq and P. Corcoran, "Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies," 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), 2020, pp. 1-5, doi: 10.1109/QoMEX48832.2020.9123079

M. A. Farooq and P. Corcoran, "Infrared Imaging for Human Thermography and Breast Tumor Classification using Thermal Images," 2020 31st Irish Signals and Systems Conference (ISSC), 2020, pp. 1-6, doi: 10.1109/ISSC49989.2020.9180164

M. A. Farooq and P. Corcoran, "Proof-of-Concept Techniques for Generating Synthetic Thermal Facial Data for Training of Deep Learning Models," 2021 IEEE International Conference on Consumer Electronics (ICCE), 2021, pp. 1-6, doi: 10.1109/ICCE50685.2021.9427690

Other Publications

Workshops

Muhammad Ali Farooq, Asma Khatoon, Viktor Varakris, Peter Corcoran “Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages," in Proceedings of 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2020-03-01: published on CEUR-WS.org

Book Chapters

Farooq M.A., Khan A.A., Ahmad A., Raza R.H. (2021), “Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment" In: Biele C., Kacprzyk J., Owsiński J.W., Romanowski A., Sikorski M. (eds) Digital Interaction and Machine Intelligence. MIDI 2020. Advances in Intelligent Systems and Computing, vol 1376. Springer, Cham. https://doi.org/10.1007/978-3-030-74728-2_8

Conference Participation

Participated in AICS 2019 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science held in NUIG Galway Ireland to present my conference paper titled “ Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages"