High-performance signal processing library with GPU acceleration. Implements novel wavelet transforms and adaptive filtering algorithms for real-time audio and biomedical…
Advancing evolutionary genetic programming for automated neural architecture discovery. Developing novel mutation operators and fitness landscapes for finding optimal deep…
Collaborative platform for federated learning with advanced privacy guarantees. Implements differential privacy and secure aggregation for distributed machine learning across…
Designed and implemented a hybrid consensus algorithm combining Proof-of-Stake with DAG structures. Achieved 10,000+ TPS while maintaining decentralization and security…
Experimental exploration of quantum algorithms for machine learning. Testing hybrid quantum-classical approaches on NISQ devices using Qiskit and PennyLane. This experimental…
Research on applying Riemannian geometry to financial time series analysis. Focus on manifold-aware learning algorithms for market volatility prediction and portfolio…
