LLM structural reasoning validation via gamma exposure analysis in options markets. Papers 1 & 2 complete. Digital Finance (Springer) submission in progress.

将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。

Low-Dose CT Reconstruction (Diffusion vs UNet/SwinIR)

Formally Verified Federated Learning Framework for Privacy-Preserving Anomaly Detection in Path-Aware Networks (PhD Research)

Meta-Learning for Cross-Domain Multi-Fidelity Optimization | PhD Research Framework | Learning transferable fidelity allocation strategies across aerospace, robotics, materials, and fluids

Macro determinants of bank stability in the EA-20 (2000-2022). Two-way FE and System-GMM panel econometrics. Data: GFDD, IMF, FSI, Eurostat, ECB SDW.

PhD researcher — ML for financial market security | GNNs, LLMs, options microstructure | IEEE BigData 2025 | AIAI 2026 accepted | JRFM under review

Ph.D Research Project: Intelligent Smart Farming Management using IoT and AI

📚 Comprehensive learning notes and Python implementations for Coursera's "Remote Sensing Image Acquisition, Analysis, and Applications" course. Features 15 weeks of detailed notes, 15+ Python scripts, and original diagrams for AI-powered environmental monitoring research.

PhD Services Assistance helps research scholars understand and manage complex doctoral tasks including topic selection, methodology, data analysis, and thesis writing. This resource highlights structured research approaches and academic best practices for improving clarity, quality, and research outcomes in 2026.

PhD Research Framework for Data-Driven Modeling of Elastic-Plastic Material Behavior. A comprehensive library providing tools for defining, training, and validating neural network-based constitutive models against simulation data.

Modular AI/ML framework in MATLAB for classification tasks: my PhD project T-DTS v3 (2006-2009) of tree-based, entropy-driven, RBF and other enabled ANN tools, based on Dr. M. Rybnik's (my credits) initial v.1.0 T-DTS project

Agent-based simulation of systemic risk and contagion in European interbank networks.

A machine learning-aided bug prediction framework for Java projects combining static code analysis and evolutionary context modeling.

PhD Research: ML-Enhanced Portfolio Optimization for Nigerian Stock Exchange

PhD research framework for UAV Coverage Path Planning — 2D/3D algorithms, energy models, 45+ benchmarks (University of Warwick)

Comparative simulation study of TMLE and C-TMLE estimators for causal inference in high-dimensional observational data · R

Simulation study of cache architecture tradeoffs under concurrency — partitioned vs LRU vs client affinity, with trace-driven evaluation on Twitter cache workloads