Improving Human Action Recognition Through Cross-View Camera-Aware Augmentation
A cross-view, camera-aware augmentation strategy for human action recognition models, improving robustness across viewpoint changes, published as fifth author.
Publications
A transparent record spanning published journal papers, technical reports, and a final-year project. Each entry is labelled by what it is, with a public source where one exists.
Research & reports
Peer-reviewed papers, technical reports, and research-adjacent writing across AI, distributed systems, and finance.
A cross-view, camera-aware augmentation strategy for human action recognition models, improving robustness across viewpoint changes, published as fifth author.
A prototype-guided rebalancing method combining multi-granularity consistency signals to improve long-tailed visual recognition, published as fifth author.
A contrastive learning framework that incorporates geometric structure to improve classification on severely imbalanced binary datasets, published as third author.
A knowledge-distillation approach for long-tailed visual recognition that adapts group-wise distillation weighting to class imbalance, published as third author.
A concept-first prototype modeling loans as living assets across origination and monitoring, oriented toward practitioners interested in finance workflow execution.
A research-facing technical report on connecting procurement, contracting, and compliance through evidence-backed graphs and AI-native workflow design.
A whitepaper-oriented protocol concept describing how blockchain, AI, and hybrid asset design could be combined into evolving NFT-backed investment narratives.
A project report on tokenized ownership, trading, lending, and profit-sharing mechanics for gaming assets implemented through smart contracts and Web3 tooling.
Next Steps

Entry-level hiring at the tech majors is down 65% since 2019 and Stanford measures a 19% employment gap for 22-to-25-year-olds. But an LSE paper covering 243 million hires found that when you control for remote work, the AI effect largely vanishes. The cause matters, because the two have opposite fixes.

Both answers are already true, for different people. The payroll data shows a 19% employment gap opening for 22-to-25-year-olds in AI-exposed jobs while experienced workers show no gap at all. That split is the actual story, and it is not the one either side of the argument is telling.

Generative Engine Optimization is real, but not what the marketing claims. Here's what the actual research shows about visibility in AI summaries.

Agentic AI is reshaping quant trading research and operations. But real value lies in research automation and human-in-the-loop workflows, not autonomous execution.
View my ORCID and other academic profiles.
Read my technical essays.
See the shipped systems and prototypes behind the research themes.
Inspect public code and reusable technical artifacts.