Alexander Nelson Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Alexander Nelson, Associate Professor at the University of Arkansas, conducts research focused on advanced computational techniques and their applications in diverse fields, including medical imaging, cryptography, and human activity recognition. His work leverages deep learning, neural networks, and hardware implementations to address complex challenges. Nelson has received significant federal funding for his research, including a $500,000 NSF CAREER award to enhance ambient capacitive sensing and a $427,760 NSF award as Co-PI for cell-derived extracellular matrix biofiber engineering.
His recent publications highlight his interdisciplinary approach. These include studies on deep learning for breast cancer tissue classification from terahertz imaging, developing self-supervised transformers for group activity recognition (SPARTAN and Sogar), and investigating hardware implementations of cryptographic algorithms, including power-based side-channel attack analysis and Rowhammer attacks on post-quantum cryptography. Nelson also explores the development of FPGA-based rehabilitation devices utilizing multi-task recurrent neural networks for gesture recognition and motion evaluation.
Nelson's scholarly contributions are reflected in his h-index of 13 and over 450 citations across 42 publications. He actively collaborates with researchers within the University of Arkansas, including David Andrews, Han-Seok Seo, Pha Nguyen, and Page D. Dobbs, with whom he has co-authored multiple publications. He maintains an active lab website to showcase his group's work.
Metrics
- h-index: 13
- Publications: 42
- Citations: 459
Selected Publications
- Effects of Light Wavelength on Broiler Performance, Blood Cell Profiles, Stress Levels, and Tibiotarsi Morphology (2025) DOI
- Power PUFs: Strengthening SRAM PUFs Against Fault Injection on Low-Cost IoT Devices (2025) DOI
- PQ-Hammer: End-to-End Key Recovery Attacks on Post-Quantum Cryptography Using Rowhammer (2025) DOI
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025) DOI
- Solid-if-IoT: An Internet of Things Client Bridge to Interface with Solid Backend Infrastructure (2024) DOI
- Daisy-Chaining Embedded Processors for Enhanced Capacitive Sensor Array Resolution (2024) DOI
- Towards Sustainable and Efficient Rapid Prototyping of Capacitive Sensor Arrays (2024) DOI
- Supervised Semantic Segmentation of Murine THz Spectroscopy Images with Imprecise Annotations (2024) DOI
- Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis (2023) DOI
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023) DOI
- Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy (2023) DOI
- A Masked Pure-Hardware Implementation of Kyber Cryptographic Algorithm (2022) DOI
- When Frodo Flips (2022) DOI
- Semantic Segmentation of Xenograft Tumor Tissues Imaged with Pulsed Terahertz Technology (2022) DOI
- An FPGA-Based Upper-Limb Rehabilitation Device for Gesture Recognition and Motion Evaluation Using Multi-Task Recurrent Neural Networks (2022) DOI
Federal Grants 3 $1,027,760 total
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