Arsalan Shahid

Publications

• Survey of Pancreatic Enzyme Replacement Therapy Dosing Experiences in Adults with Exocrine Pancreatic Insufficiency
• A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis
• Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems
• AC-DSE: Approximate Computing for the Design Space Exploration of Reconfigurable MPSoCs
• Internet of Things Shaping Smart Cities: A Survey
• Big Data Warehouse for Healthcare-Sensitive Data Applications
• Legal, Privacy, Social and Ethical Requirements and Impact Assessment for an Artificial Intelligence Based Medical Imaging Project
• Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements
• Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters
• A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs
• Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution
• Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables
• Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors
• Glycemic Variability Assessment in Newly Treated Exocrine Pancreatic Insufficiency With Type 1 Diabetes
• Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis
• Performance Evaluation of High performance Heterogeneous Computing Platforms
• How pre-multicore methods and algorithms perform in multicore era
• Energy of computing on multicore CPUs: Predictive models and energy conservation law
• Performance Events on Modern Computing Platforms
• Analytical models of Energy and Throughput for Caches in MPSoCs
• Improving the accuracy of energy predictive models for multicore CPUs using additivity of performance monitoring counters
• Energy Predictive Models and Performance Events: A Match Made in Heaven? Or is it?
• Bi-objective optimisation of data-parallel applications on heterogeneous platforms for performance and energy via workload distribution
• Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms using System-Level Measurements
• A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs
• SLMAD: Statistical Learning-Based Metric Anomaly Detection
• Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables
• BS Electrical Engineering
• Towards Reliable and Accurate Energy Predictive Modelling using Performance Events on Modern Computing Platforms
• Supplementary Materials: A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Comptuing Platforms
• Bi-objective optimization of data-parallel applications on heterogeneous hpc platforms for performance and energy through workload distribution
• A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms
• A Comparative Study of Methods for Measurement of Energy of Computing
• Design Space Exploration Using Cycle Accurate Simulator
• Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling
• Fingerprinting non-numeric datasets using row association and pattern generation
• Hardware Transactional Memories: A Survey
• Power optimization using clock gating and power gating: A review
• XenoJetBench: An open source hard-real-time multiprocessor benchmark
• Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
• Glucose Variability Analysis in Two Large-Scale and Real-World Data Sets of Open-Source Automated Insulin Delivery Systems