Arsalan Shahid

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Analytical Models

Multicore Processors

Top Venues

ICSOC Workshops

Publications

Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van, Saad Shahid, Aafaq Iqbal khan, Arsalan Shahid
Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs. Big Data Cogn. Comput. 8 (6) (2024)
Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van, Saad Shahid, Aafaq Iqbal khan, Arsalan Shahid
Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph. CoRR (2023)
Ceara Treacy, Gilbert Regan, Arsalan Shahid, Brian Maguire
Legal, Privacy, Social and Ethical Requirements and Impact Assessment for an Artificial Intelligence Based Medical Imaging Project. EuroSPI (2022)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access 9 (2021)
Arsalan Shahid, Thien-An Ngoc Nguyen, M. Tahar Kechadi
Big Data Warehouse for Healthcare-Sensitive Data Applications. Sensors 21 (7) (2021)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution. IEEE Trans. Parallel Distributed Syst. 32 (3) (2021)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. J. Parallel Distributed Comput. 151 (2021)
Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements. IEEE Access 8 (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs. IEEE Access 8 (2020)
Arsalan Shahid, Gary White, Jaroslaw Diuwe, Alexandros Agapitos, Owen O'Brien
SLMAD: Statistical Learning-Based Metric Anomaly Detection. ICSOC Workshops (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. CoRR (2019)
Arsalan Shahid, Muhammad Tayyab, Muhammad Yasir Qadri, Nadia N. Qadri, Jameel Ahmed
Analytical models of Energy and Throughput for Caches in MPSoCs. CoRR (2019)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution. CoRR (2019)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters. PaCT (2019)
Arsalan Shahid, Muhammad Yasir Qadri, Martin Fleury, Hira Waris, Ayaz Ahmad, Nadia N. Qadri
AC-DSE: Approximate Computing for the Design Space Exploration of Reconfigurable MPSoCs. J. Circuits Syst. Comput. 27 (9) (2018)
Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski
How Pre-multicore Methods and Algorithms Perform in Multicore Era. ISC Workshops (2018)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy, Alexey L. Lastovetsky
Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling. Supercomput. Front. Innov. 4 (4) (2017)