Matthias Felleisen is a researcher affiliated with Northeastern University in the United States. Their work primarily focuses on the field of Computer Science, with specific attention to areas such as Artificial Intelligence, Information Systems, and Software. Their research topics cover several specialized domains, including logic, programming, and type systems; software engineering research; advanced software engineering methodologies; model-driven software engineering techniques; software testing and debugging techniques; parallel computing and optimization techniques; and teaching and learning programming.
Felleisen's recent published papers span a variety of venues and topics. Notable papers include:
The most frequent coauthors collaborating with Felleisen include Christos Dimoulas (12 joint publications), Ben Greenman (10), Lukas Lazarek (4), Sam Caldwell (4), and Tony Garnock-Jones (4). These collaborations contribute to the consistency and development of topics across their joint research outputs.
Felleisen's publication record is associated with several key venues where multiple papers have appeared. These venues include:
Their contributions to programming languages and development environments were recognized in 2006 with the ACM Fellow award. In 2009, Felleisen received the ACM Karl V. Karlstrom Outstanding Educator Award, citing their work on K-12 outreach programs, innovative textbooks, and software designed with pedagogical motivations.
A.K. Wright;M. Felleisen
Cormac Flanagan;Amr Sabry;Bruce F. Duba;Matthias Felleisen
Matthias Felleisen;Robert Hieb
Amr Sabry;Matthias Felleisen
Matthew Flatt;Shriram Krishnamurthi;Matthias Felleisen
Robert Bruce Findler;Matthias Felleisen
Zena M. Ariola;Matthias Felleisen
Zena M. Ariola;John Maraist;Martin Odersky;Matthias Felleisen
Matthias Felleisen
Mattias Felleisen
Sam Tobin-Hochstadt;Matthias Felleisen
Eugene Kohlbecker;Daniel P. Friedman;Matthias Felleisen;Bruce Duba
Matthias Felleisen;Robert Bruce Findler;Matthew Flatt
Robert Bruce Findler;John Clements;Cormac Flanagan;Matthew Flatt
Mattias Felleisen;D. P. Friedman;E. Kohlbecker;B. Duba
Matthew Flatt;Matthias Felleisen
Shriram Krishnamurthi;Robert Bruce Findler;Matthias Felleisen;Matthew Flatt
Sam Tobin-Hochstadt;Matthias Felleisen
Matthias Felleisen;Daniel P. Friedman
Matthias Felleisen
Sam Tobin-Hochstadt;Matthias Felleisen
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA can open doors to a wide range of related online degrees and career pathways. Many students look for options that balance affordability, speed, and career potential. For example, those interested in management roles within tech can benefit from enrolling in one of the cheapest mba programs available online, allowing for career advancement without significant financial stress.
If you’re eager to upskill quickly, consider a 1 year masters program—perfect for building expertise fast and entering the workforce sooner. Additionally, some students prioritize both convenience and lucrative outcomes by looking into easy degrees to get online that pay well, opening the door to high-paying fields with a shorter time commitment.
For those who want to specialize further, the tech field is evolving rapidly, making advanced study essential. Specializing in artificial intelligence is increasingly popular, so exploring the best online masters in artificial intelligence can be a strategic move for long-term success. These flexible programs ensure you’re well-equipped for tomorrow’s top careers.
National Institutes of Health
University of Memphis
University of Sydney
Centers for Disease Control and Prevention
Oregon Health & Science University
Chung-Ang University
INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Seoul National University
Tokyo Institute of Technology
Beijing Jiaotong University
University of Tokyo
Chongqing University
Tohoku University
University of Sydney
University of Manchester
Duke NUS Graduate Medical School