Over the last few years, I’ve been active in the research and development of new technologies, ideas and solutions for perennial problems. Of these, a significant part is subject to non-disclosure and governmental secrecy provisions due to industry and/or national security relevance, respectively. A smattering of my public research is below. My principal areas of interest are
- mathematics: elliptic curve cryptography (research currently classified), mathematical physics (esp. explosive lensing, research currently classified), Lie algebras, dabbling in K-theory
- statistics: social network analysis, network metrics, graph network statistical algorithms, social graph ecology
- epidemiology: computational epidemiology, especially modeling disease-avoidant behaviour and general modeling (research currently classified), filoviruses and filoviral haemorrhagic fevers (research currently mostly classified)
- computer science: graph algorithms (research currently classified), sensor fusion computation (research currently classified), anything blockchain-related, code generation and compiler theory, computer vision and deep learning
- law: causation, probability, risk and liability, causal logic and inference in tort
Selected research papers
- von Csefalvay, C. (2015). Ecological metrics of diversity in understanding social media. arXiv:1501.07621.
- von Csefalvay, C. (2009). On Good Intentions and Poor Outcomes: A Critical Retrospective on Chester v Afshar. 9 U. C. Dublin L. Rev. 46.
Selected patents & applications
- A Method, Software and Architecture for the Monitoring of Data Flows in ETL Systems, GB1420320.2 (15 November 2014)
- A method, software and architecture for a graphical user interface for creating, editing, visualizing and authenticating smart contracts, GB1605154.2 (11 May 2016)
- Preventing repeated malicious online communications using a proof of work approach, GB1607128.4 (08 June 2016)