Research

Research and Publications

Here you’ll find a collection of my research and publications in data science, machine learning, and AI.

HeXtractor: Automated Heterogeneous Graph Extraction from Multimodal Data

HeXtractor: Automated Heterogeneous Graph Extraction from Multimodal Data

Open-source Python library for transforming structured tabular data and unstructured text into heterogeneous graph representations for Graph Neural Networks.

graph-neural-networks heterogeneous-graphs pytorch-geometric open-source knowledge-graphs llm-integration python
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MAGIC: Multi-Aggregation Custom Edge GIN for Advanced Money Laundering Detection

MAGIC: Multi-Aggregation Custom Edge GIN for Advanced Money Laundering Detection

Graph neural network architecture for money laundering detection using multiple aggregation mechanisms and custom edge convolutions.

anti-money-laundering graph-neural-networks financial-crime gin fraud-detection machine-learning
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HexGIN: Heterogeneous Graph Isomorphism Networks for Real-World Money Laundering Detection

HexGIN: Heterogeneous Graph Isomorphism Networks for Real-World Money Laundering Detection

Heterogeneous extension of Graph Isomorphism Networks applied to the FinCEN Files investigation - detection of money laundering patterns.

money-laundering graph-neural-networks fincen-files heterogeneous-graphs financial-crime deep-learning gin
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Deep Reinforcement Learning Approach for Portfolio Optimization and Risk Management: Case Studies

Deep Reinforcement Learning Approach for Portfolio Optimization and Risk Management: Case Studies

Application of deep reinforcement learning algorithms to portfolio optimization in complex market conditions, evaluated against traditional optimization strategies.

deep-reinforcement-learning portfolio-optimization risk-management quantitative-finance machine-learning
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Deep Reinforcement Learning for Discrete Resource Allocation in Project Management: A Simulation Experiment

Deep Reinforcement Learning for Discrete Resource Allocation in Project Management: A Simulation Experiment

Evaluation of deep reinforcement learning algorithms for constrained discrete resource allocation in project management using simulation experiments.

reinforcement-learning operations-research project-management resource-allocation optimization deep-learning simulation
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Deep Hybrid Collaborative Filtering with Content: Advancing E-Commerce Recommendation Systems

Deep Hybrid Collaborative Filtering with Content: Advancing E-Commerce Recommendation Systems

Development of a deep hybrid collaborative filtering architecture that integrates content features with collaborative filtering for improved e-commerce recommendation accuracy.

deep-learning recommendation-systems e-commerce collaborative-filtering neural-networks machine-learning
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