Hamza Javed

According to our database, Hamza Javed authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation.

Tathagata Raha, Clément Christophe, Nada Saadi, Hamza Javed, Marco AF Pimentel, Ronnie Rajan, Praveenkumar Kanithi

CoRR, January, 2026

EffiMalNetv3: A lightweight framework for malware detection using contrastive learning and attention-guided deep learning approach.

Sidra Javed, Guowei Wu, Hamza Javed

Appl. Soft Comput., 2026

An automated multi-scale and multi-contextual MobileNetv3 for malware detection based on IoT.

Sidra Javed, Guowei Wu, Hamza Javed, Osama Ahmed Khashan, Haseeb Hassan, Anwar Ghani

Array, 2026

Synthesizing Specialized Sparse Tensor Accelerators for FPGAs via High-Level Functional Abstractions.

Hamza Javed, Christophe Dubach

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2026

2024

MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications.

Praveen K. Kanithi, Clément Christophe, Marco AF Pimentel, Tathagata Raha, Nada Saadi, Hamza Javed, Svetlana Maslenkova, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems.

Hamza Javed, Zainab Abaid, Shahid Akbar, Kifayat Ullah, Ashfaq Ahmad, Aamir Saeed, Hashim Ali, Yazeed Yasin Ghadi, Tahani Jaser Alahmadi, Hend Khalid Alkahtani, Ali Raza

IEEE Access, 2024

A Novel Deep Ensemble Framework for IoT Malware Variant Detection.

Hamza Javed, Feng Zeng, Muhammad Shaheer

Proceedings of the IEEE International Conference on Smart Internet of Things, 2024

2021

Serverless Platforms on the Edge: A Performance Analysis.

Hamza Javed, Adel Nadjaran Toosi, Mohammad Sadegh Aslanpour

CoRR, 2021

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.

Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P. Carloni, Giuseppe Di Guglielmo, Philip C. Harris, Jeffrey D. Krupa, Dylan S. Rankin, Manuel Blanco Valentin, Josiah D. Hester, Yingyi Luo, John Mamish, Seda Ogrenci Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier M. Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu

CoRR, 2021

Accelerating Recurrent Neural Networks for Gravitational Wave Experiments.

Zhiqiang Que, Erwei Wang, Umar Marikar, Eric A. Moreno, Jennifer Ngadiuba, Hamza Javed, Bartlomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y. K. Cheung, Wayne Luk

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021