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This BAB replication uses today’s Russell-3000 universe applied back in time, creating survivorship bias and missing delistings. Betas, returns and factors rely on Yahoo data with no fees, liquidity filters or funding-constraints. Results are educational, not a precise Frazzini-Pedersen replication.
This MSCI-World BAB framework applies today’s proxy universe backward in time, introducing survivorship bias and missing delistings. Betas and returns rely on Yahoo data without fees, liquidity screens or funding-constraints. Outputs are educational diagnostics, not a precise Frazzini-Pedersen replication.
A Python-based traffic engineering framework that jointly optimizes link weights and waypoint routing to balance Maximum Link Utilization (MLU) and end-to-end latency. Includes NSGA-II multi-objective optimization and several heuristic baselines. Supports real topologies from SNDLib and TopologyZoo.
Mirror of restricted university repository. A congestion control algorithm prototype based on periodic bandwidth modulation. Implemented in aioquic for a bachelor thesis.
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
EPFL/UZH(ETH) student research project for the Swiss Data Science Center (SDSC), adapting deep learning models to predict backpack colors in images. Based on work by Xiaoran Chen (SDSC).
Substation Sentinel is a tool developed as part of my bachelor thesis for analyzing and securing network traffic in IEC 61850-based substation automation systems.