Publications

Thesis

  • A Shahid "Towards Reliable and Accurate Energy Predictive Modelling using Performance Events on Modern Computing Platforms", PhD Thesis, in Heterogeneous Computing Laboratory at University College Dublin, Ireland, 2020, DOI , PDF

  • A Shahid, TY Bhatti "Reconfigurable MPSoCs for Energy and Throughput Aware Applications", BSc Electrical Engineering Thesis, at HITEC University Taxila, Pakistan, 2016, DOI , PDF

Peer-Reviewed Journals

  • A Shahid, D. M. Lewis, "Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems", in Nutrients, MDPI, May 2022, pdf, Scholar Google, DOI

  • A Shahid, M H Bazargani, P Banahan, B Mac Namee, T Kechadi, C Treacy, G Regan, P MacMahon, "A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis", in Healthcare, MDPI, April 2022, pdf, Scholar Google, DOI

  • O'Malley, G., N. Arthurs, A Shahid, G. Doyle, S. Browne, and T. Kechadi "Big Data Collection in Vulnerable Populations: Application to Real World Clinical and Public Health Settings", in Obesity Facts, 2021, Scholar Google, DOI

  • A Shahid, M Fahad, R R Manumachu, and A Lastovetsky, "Energy of Computing: Theory, Practical Implications for Predictive Models, and Experimental Analysis on Multicore Processors", in IEEE Access, IEEE, April 2021, pdf, Scholar Google, DOI

  • A Shahid, T-AN Nguyen, and M-T Kechadi, "Big Data Warehouse for Healthcare-Sensitive Data Applications", in Sensors, MDPI, March 2021, pdf, Scholar Google, DOI

  • A Shahid, M Fahad, R R Manumachu, and A Lastovetsky, "Improving the Accuracy of Energy Predictive Models Using Utilization Variables and Performance Events for Multicore CPUs", in Journal of Parallel and Distributed Computing, Elsevier, February 2021, pdf, Scholar Google, DOI

  • H Khaleghzadeh, M Fahad, A Shahid, R R Manumachu, and A Lastovetsky, “Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution” in IEEE Transactions on Parallel and Distributed Computing, IEEE, September 2020, pdf, Scholar Google, DOI

  • A Shahid, M Fahad, R R Manumachu, and A Lastovetsky, "A Comparative Study of Techniques for Energy Predictive Modelling using Performance Monitoring Counters on Modern Multicore CPUs", in IEEE Access, IEEE, IF 2018: 4.098, August 2020, pdf, Scholar Google, DOI

  • M Fahad, A Shahid, R R Manumachu, and A Lastovetsky, "A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms", in Energies, MDPI, IF 2018: 2.707, July 2020, pdf, Scholar Google, DOI

  • M Fahad, A Shahid, R R Manumachu, and A Lastovetsky, "Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms using System-Level Measurements", in IEEE Access, IEEE, IF 2018: 4.098, 2020, pdf, Scholar Google, DOI

  • M. Fahad, A Shahid, R. Reddy, and A. Lastovetsky, "A Comparative Study of Methods for Measurement of Energy of Computing" in Energies, MDPI, Vol. 12, Issue 11, IF 2018: 2.707, 06/2019, pdfScholar GoogleDOI

  • A Shahid, M. Y. Qadri, M. Fleury, H. Waris,  A. Ahmed, N. N. Qadri "AC-DSE: Approximate Computing For the Design Space Exploration of Reconfigurable MPSoCS", in Journal of Circuits, Systems, and Computers, World Scientific, Vol. 17, Issue 9, IF 2018: ~ 0.9, 01/2018, pdfGoogle ScholarDOI

  • A Shahid, M. Fahad, R. Reddy, A. Lastovetsky, Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling” in Supercomputing Frontiers and Innovations, Vol. 4, Issue 4, 12/2017, pdfGoogle ScholarDOI

Conference Publications

  • A. Shahid, G. White, J. Diuwe, A. Agapitos, and O. O’Brien, "SLMAD: Statistical Learning-Based Metric Anomaly Detection" in International Workshop on Artificial Intelligence for IT Operations (AIOps), December 14-17, 2020 (Accepted)

  • A. Shahid, M. Fahad, R. Reddy, and A. Lastovetsky, "Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters" in 15th International Conference on Parallel Computing Technologies August 19-23, Almaty, Kazakhstan, 2019, pdf, Google ScholarDOI

  • A. Lastovetsky, M. Fahad, H. Khaleghzadeh, S. Khokhriakov, R. R. Manumachu, A. Shahid, L. Szustak, and R. Wyrzykowski, "How Pre-multicore Methods and Algorithms Perform in Multicore Era", High-Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science, vol 11203, Frankfurt, Springer Nature, pp. 527-539, 24-26 June 2018, 2019, pdf, Google Scholar, DOI

  • M Ahmed, A Shahid, M. Yasir Qadri, K Hussain, N N Qadri "Fingerprinting Non-Numeric Data Sets Using Row Association and Pattern Generation" in International Conference on Communication Technologies (ComTech-2017), IEEE, 2017, pdf, Google Scholar, DOI

  • A Shahid, M Y Qadri, N N Qadri, J Ahmed "XenoJetBench: An Open Source Hard-Real-Time Multiprocessor Benchmark" in 6th International Conference on Intelligent and Advanced Systems (ICIAS), IEEE, 2016, pdf, Google Scholar, DOI

Book Chapters

  • A Shahid, B Khalid, S Shaukat, H Ali, M Y Qadri, "Internet of Things Shaping Smart Cities: A Survey" In Dey N., Hassanien A., Bhatt C., Ashour A., Satapathy S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, 335-358., vol 30., Springer, 2018. pdfGoogle Scholar, DOI

  • A Shahid, B Khalid, M Yasir Qadri, N N. Qadri, and J Ahmed. "Design Space Exploration Using Cycle Accurate Simulator." In: Innovative Research and Applications in Next-Generation High-Performance Computing. 66-79., IGI Global, 2016. pdf, Google Scholar, DOI

  • A Shahid, M Murad, M Y Qadri, N N Qadri, and J Ahmed. "Hardware Transactional Memories: A Survey" In Innovative Research and Applications in Next-Generation High-Performance Computing. 47-65., IGI Global, 2016. pdfGoogle ScholarDOI

  • A Shahid, S Arif, M Y Qadri, and S Munawar, "Power Optimization Using Clock Gating and Power Gating: A Review" In Innovative Research and Applications in Next-Generation High-Performance Computing. 01-20., IGI Global, 2016. pdfGoogle ScholarDOI

Preprints

  • A Shahid, M Fahad, R R Manumachu, and A Lastovetsky, "Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law." arXiv preprint arXiv:1907.02805. 2019, pdf, Google Scholar

 Technical Reports

  • A Shahid, M Tayyab, M Y Qadri, N N Qadri, J Ahmed, ”Analytical Models of Energy and Throughput for Caches in MPSoCS”, arXiv preprint 1910.08666, 2019

  • A Shahid, A. Lastovetsky, "Performance Events on Modern Computing Platforms", HCL, UCD School of Computer Science. March 2018, pdf