Daniel Hernandez

Research

Publications & Research

Contributing to ML, computer vision, and materials science research. Three publications spanning deep learning and nanofabrication.

Google Scholar

Publications

3
Published

Universal Latent Homeomorphic Manifolds: Cross-Domain Representation Learning via Homeomorphism Verification

T. Wu, T. U. Wara, D. Hernandez, S. Lei

arXiv:2601.09025 · 2026

Investigates cross-domain representation learning by verifying homeomorphisms between latent manifolds. Proposes a framework for transferring learned representations across domains using topological verification.

Machine LearningRepresentation LearningTopologyDeep Learning
Under review

Laser Tomographic Imaging of Defects in CVD Diamonds Utilizing Deep Neural Network Algorithm

D. Hernandez†, X. Zhang†, T. U. Wara, F. Joshua, J. Murukeshan, S. Rafiq, L. Zhai, Y. Yao, P. M. Ajayan, T. Wu, S. Lei

SSRN preprint · 2026

Develops a deep neural network-based algorithm to identify and characterize structural defects in CVD diamonds via laser tomographic imaging, enabling non-destructive quality characterization of diamond materials.

Computer VisionDeep LearningMaterials ScienceCVD Diamonds
In revision

Scalable and Lithography-Free Fabrication of High-Aspect-Ratio Diamond Nanowires for Quantum and Electrochemical Applications

J. Murukeshan, X. Zhang, Y. Zhu, K. Ngan, D. Hernandez, T. S. Pieshkov, P. Ganguly, Z. Ng, A. Giangiorgi, X. Shuai, R. Vajtai, E. H. T. Teo, S. Lei, S. Sun, J. Lou, P. M. Ajayan

In revision · 2026

Presents a lithography-free fabrication approach for high-aspect-ratio diamond nanowires with applications in quantum computing and electrochemical sensing. Focuses on scalable production methods for nanoscale diamond structures.

NanofabricationQuantum ComputingDiamond NanowiresElectrochemistry

Research Roles

Undergraduate Researcher

Functional Materials Studio, NanoScience Technology Center – UCF

May 2025 – Present

  • ▸Control firmware (Arduino, ESP32) and Python serial-automation scripts, including custom PCB design, to automate lab instrumentation
  • ▸Convolutional neural networks and Python pipelines for imaging, analysis, and materials characterization
  • ▸Translating lab needs into technical tools and workflows alongside researchers

Undergraduate Research Assistant

Radiation Effects Exploration Laboratory, UCF ECE

Jan 2025 – May 2025

  • ▸Python data-processing and visualization tools for radiation-measurement results
  • ▸Lab website built and maintained with HTML, CSS, and WordPress