2006 - Member of Academia Europaea
2005 - Fellow of the Royal Society, United Kingdom
2004 - ACM Fellow For contributions to object-oriented programming languages.
Programming language, Theoretical computer science, Ambient calculus, Algorithm and Computation are his primary areas of study. His research ties Abstract type and Programming language together. His study in the field of Linear temporal logic, Dynamic logic and Temporal logic of actions is also linked to topics like Modal logic.
His Ambient calculus research is multidisciplinary, incorporating perspectives in Calculus, Calculus and Artificial intelligence. His research on Algorithm also deals with topics like
The scientist’s investigation covers issues in Programming language, Theoretical computer science, Algorithm, Computation and Algebra. Programming language is represented through his Object, Subtyping, Typed lambda calculus, Semantics and Formal semantics research. His Subtyping research includes themes of Object type and Calculus.
He studies Process calculus which is a part of Theoretical computer science. Luca Cardelli merges Algorithm with Gaussian process in his study. His research on Computation often connects related topics like Ambient calculus.
His primary areas of investigation include Applied mathematics, Gaussian process, Probabilistic logic, Robustness and Algorithm. His Applied mathematics study combines topics in areas such as Qualitative reasoning, Equivalence, Reachability and Equivalence relation. His studies deal with areas such as Target distribution, Countable set, Norm, Theory of computation and Complex system as well as Probabilistic logic.
His work in Ode addresses subjects such as Ordinary differential equation, which are connected to disciplines such as Polynomial, Theoretical computer science, Perspective and Concurrency. In his research on the topic of Theoretical computer science, Formal methods is strongly related with Abstraction. Luca Cardelli works mostly in the field of Replication, limiting it down to concerns involving Task and, occasionally, Process calculus.
His main research concerns Theory of computation, Applied mathematics, Probabilistic logic, Complex system and Abstraction. The concepts of his Applied mathematics study are interwoven with issues in Equivalence, Markov chain and Equivalence relation. His work carried out in the field of Probabilistic logic brings together such families of science as MNIST database and Robustness.
His research integrates issues of Qualitative reasoning, Target distribution, Countable set, Systems biology and Norm in his study of Complex system. His Abstraction research incorporates elements of Correctness, Electronic design automation, Network topology, Function and Syntax. The study incorporates disciplines such as Polynomial and Ordinary differential equation in addition to Calculus.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
On understanding types, data abstraction, and polymorphism
Luca Cardelli;Peter Wegner.
ACM Computing Surveys (1985)
Mobile ambients
Luca Cardelli;Andrew D. Gordon.
Theoretical Computer Science (2000)
A Theory of Objects
Martin Abadi;Luca Cardelli.
(1996)
A semantics of multiple inheritance
Luca Cardelli.
Information & Computation (1988)
Explicit substitutions
M. Abadi;L. Cardelli;P.-L. Curien;J.-J. Levy.
symposium on principles of programming languages (1989)
A language with distributed scope
Luca Cardelli.
symposium on principles of programming languages (1995)
Subtyping recursive types
Roberto M. Amadio;Luca Cardelli.
ACM Transactions on Programming Languages and Systems (1993)
Type systems
Luca Cardelli.
ACM Computing Surveys (1996)
BioAmbients: an abstraction for biological compartments
Aviv Regev;Ekaterina M. Panina;William Silverman;Luca Cardelli.
computational methods in systems biology (2004)
GALILEO: a strongly-typed, interactive conceptual language
Antonio Albano;Luca Cardelli;Renzo Orsini.
ACM Transactions on Database Systems (1985)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
University of California, Santa Cruz
University of Oxford
Microsoft (United States)
University of Oxford
University of Pennsylvania
Stanford University
University of Edinburgh
University of Oxford
University of Bologna
University of Pisa
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: