DANIEL HUANG

GPU-accelerated parasitic capacitance estimation for IC/VLSI designs using JAX-based differentiable finite element analysis.

Fine-tuning Google's Gemma model to translate ancient Chinese texts into modern Chinese and provide historically accurate phonetic pronunciations across multiple eras.

Advanced deep neural networks (LSTM, Convolutional Autoencoders, EEG-Net) that bridge the gap between non-invasive EEG signals and high-fidelity ECoG data for advanced medical applications.

Algorithmic sound curator that analyzes environmental context to generate perfectly synchronized atmospheric soundscapes for any location or event using GPT 3.

Decentralized health intelligence system utilizing blockchain for secure data transmission and ML-SIM for predictive pattern recognition of asymptomatic COVID-19 transmission vectors.

High-performance graph analytics framework built on Apache Spark that maps data lineage and influence patterns, establishing unprecedented levels of system knowledge extraction and strategic pattern recognition.

Digital marketplace optimizing the connection between cultural influencers and commercial entities through advanced matching algorithms and engagement analytics.

Recurrent neural architecture trained on complex linguistic patterns to generate contextually appropriate lyrical content in the distinctive style of specific cultural icons.

Multi-paradigm decision system utilizing Bellman-Ford MDPs, Decision Tree Classification, and Q-Learning for optimal path finding in complex, dynamic environments with uncertain rewards.

Predictive deployment system using advanced AI planning with PDDL to optimize critical resource distribution through autonomous delivery units in pandemic scenarios.

Convolutional neural network application demonstrating advanced image classification capabilities through targeted binary identification of specific organic compounds and food items.