Muhammad Usman Tariq

According to our database, Muhammad Usman Tariq authored at least 30 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Explainable and counterfactual lasso regression for resilient micro gas turbine power prediction in smart grids.

Sheikh Muhammad Saqib, Muhammad Amir Khan, Tariq Shahzad, Muhammad Usman Tariq, Tehseen Mazhar, Habib Hamam

Sustain. Comput. Informatics Syst., 2026

Agentic latency control and cooperative vehicle coordination in 5G-MEC: A prescriptive and explainable AI framework.

Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Usman Tariq, Tariq Shahzad, Asem Ibrahim Alalwan, Habib Hamam

Comput. Commun., 2026

Green AI techniques for reducing energy consumption in AI systems.

Sunawar Khan, Naila Sammar Naz, Tehseen Mazhar, Muhammad Usman Tariq, Tariq Shahzad, Sghaier Guizani, Habib Hamam

Array, 2026

2025

PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations.

Muhammad Usman Tariq, Abhinav Jangda, Angélica Moreira, Madan Musuvathi, Tyler Sorensen

CoRR, December, 2025

Application Level Trust Authority (APPLETA) for Resource-Constrained Edge Devices in IoT and 6G.

Shahid Mahmood, Moneeb Gohar, Seok-Joo Koh, Muhammad Usman Tariq, Anwar Ghani

IEEE Trans. Consumer Electron., May, 2025

Artificial intelligence driven demand forecasting: an application to the electricity market.

Marco Repetto, Cinzia Colapinto, Muhammad Usman Tariq

Ann. Oper. Res., March, 2025

REPTILE: Performant Tiling of Recurrences.

Muhammad Usman Tariq, Shiv Sundram, Fredrik Kjolstad

Proc. ACM Program. Lang., 2025

FEELAP: Fuzzy Extractor-Based Efficient Lightweight Authentication Protocol for Edge-IoT Ecosystem in e-Healthcare.

Saeed Ullah Jan, Muhammad Usman Tariq, Osama Ahmed Khashan, Naif Alzahrani, Anwar Ghani

IEEE Open J. Comput. Soc., 2025

Mamba-caption: Long-range sequence modelling for efficient and accurate image captioning.

Tariq Shahzad, Muhammad Aoun, Tehseen Mazhar, Muhammad Usman Tariq, Khmaies Ouahada, Habib Hamam

Array, 2025

An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things.

Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

IEEE Access, 2025

2024

SKALP: Secure key agreement and lightweight protocol for dew-assisted IoT enabled edge computing.

Saeed Ullah Jan, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Fahad Algarni, Syed Husnain Abbas Naqvi

Trans. Emerg. Telecommun. Technol., September, 2024

Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network.

Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq, Sarah Kaleem

IEEE Trans. Comput. Soc. Syst., August, 2024

A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning.

Sarah Kaleem, Adnan Sohail, Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq

Internet Things, April, 2024

Compiling Recurrences over Dense and Sparse Arrays.

Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad

Proc. ACM Program. Lang., 2024

Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion.

Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, Muhammad Usman Tariq, Humera Khan, Anwar Ghani

IEEE Access, 2024

Beyond the Illusion: Ensemble Learning for Effective Voice Deepfake Detection.

Ghulam Ali, Javed Rashid, Muhammad Rameez Ul Hussnain, Muhammad Usman Tariq, Anwar Ghani, Daehan Kwak

IEEE Access, 2024

A Deep Features Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification.

Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2023

An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing.

Muhammad Babar, Mian Ahmad Jan, Xiangjian He, Muhammad Usman Tariq, Spyridon Mastorakis, Ryan Alturki

IEEE Internet Things J., March, 2023

Image Encryption Scheme Based on Orbital Shift Pixels Shuffling with ILM Chaotic System.

Wajid Ali, Congxu Zhu, Rabia Latif, Muhammad Asim, Muhammad Usman Tariq

Entropy, 2023

Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data.

Dennies Tsietso, Abid Yahya, Ravi Samikannu, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi, Anis Koubaa

IEEE Access, 2023

Pre-Trained Model-Based NFR Classification: Overcoming Limited Data Challenges.

Kiramat Rahman, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Arif Ur Rahman

IEEE Access, 2023

2022

Smart teledentistry healthcare architecture for medical big data analysis using IoT-enabled environment.

Muhammad Babar, Muhammad Usman Tariq, Mohammad Dahman Alshehri, Fasee Ullah, Muhammad Irfan Uddin

Sustain. Comput. Informatics Syst., 2022

2021

BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System.

Sen Xu, Ryan Alturki, Ateeq Ur Rehman, Muhammad Usman Tariq

Mob. Networks Appl., 2021

Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey.

Muhammad Usman Tariq, Muhammad Haseeb, Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed

IEEE Access, 2021

Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter.

Muhammad Usman Tariq, Dennys Leyvay, Francisco Alberto Fernandez Limaz, Fahad Saeed

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

An Improved Framework for Modelling Data Warehouse Systems Using UML Profile.

Muhammad Babar, Akmal Saeed Khattak, Fahim Arif, Muhammad Usman Tariq

Int. Arab J. Inf. Technol., July, 2020

Human Proteome and Peptides.

Muhammad Usman Tariq

Dataset, January, 2020

SafeCity: Toward Safe and Secured Data Management Design for IoT-Enabled Smart City Planning.

Hui Zhang, Muhammad Babar, Muhammad Usman Tariq, Mian Ahmad Jan, Varun G. Menon, Xingwang Li

IEEE Access, 2020

2018

Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs.

Muhammad Usman Tariq, Fahad Saeed

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Power-efficient and highly scalable parallel graph sampling using FPGAs.

Muhammad Usman Tariq, Umer I. Cheema, Fahad Saeed

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017