Caleb Stanford


Me in 2021

I am on the academic job market this year!

I am a PhD student in computer science at the University of Pennsylvania since Fall 2016, advised by Rajeev Alur. I am expected to graduate in May 2022. You can also view my CV online.

Research

Research areas

My research lies in programming languages and systems. In particular, I am interested in programming languages and formal methods applications to data processing, distributed systems, and networks. I am affiliated with the Penn PL Club:

Penn PL Club.

Publications

*equal contribution authors in alphabetical order

  1. A Robust Theory of Series-Parallel Graphs. Rajeev Alur, Caleb Stanford, and Christopher Watson. In submission.

  2. Guided Incremental Dead State Detection. Caleb Stanford and Margus Veanes. In submission.

  3. Stream Processing with Dependency-Guided Synchronization. Konstantinos Kallas,* Filip Niksic,* Caleb Stanford,* and Rajeev Alur, Principles and Practice of Parallel Programming (PPoPP), February 2022. Extended version; 2-Minute Elevator Pitch (September 2019); Poster (October 2019)

  4. Correctness in Stream Processing: Challenges and Opportunities. Caleb Stanford, Konstantinos Kallas, and Rajeev Alur, Conference on Innovative Data Systems Research (CIDR), January 2022. Slides; Video

  5. Symbolic Boolean Derivatives for Efficiently Solving Extended Regular Expression Constraints. Caleb Stanford, Margus Veanes, and Nikolaj Bjørner, Programming Language Design and Implementation (PLDI), June 2021. Slides; Talk (lightning and full)

  6. Synchronization Schemas. Rajeev Alur, Phillip Hilliard, Zachary Ives, Konstantinos Kallas, Konstantinos Mamouras, Filip Niksic, Caleb Stanford, Val Tannen, and Anton Xue, Invited Contribution to Principles of Database Systems (PODS), June 2021. Invited paper.

  7. DiffStream: Differential Output Testing for Stream Processing Programs. Konstantinos Kallas,* Filip Niksic,* Caleb Stanford,* and Rajeev Alur, Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), November 2020. Slides; Video

  8. Streamable Regular Transductions. Rajeev Alur, Dana Fisman, Konstantinos Mamouras, Mukund Raghothaman, and Caleb Stanford, Theoretical Computer Science (TCS), February 2020.

  9. Data-Trace Types for Distributed Stream Processing Systems. Konstantinos Mamouras, Caleb Stanford, Rajeev Alur, Zachary Ives, and Val Tannen, Programming Language Design and Implementation (PLDI), June 2019. Video Abstract

  10. Modular Quantitative Monitoring. Rajeev Alur, Konstantinos Mamouras, and Caleb Stanford, Principles of Programming Languages (POPL), January 2019. Slides; Video

  11. Interfaces for Stream Processing Systems. Rajeev Alur, Konstantinos Mamouras, Caleb Stanford, and Val Tannen, Principles of Modeling: Festschrift Symposium in honor of Edward A. Lee, October 2017. Invited paper.

  12. Automata-Based Stream Processing. Rajeev Alur, Konstantinos Mamouras, and Caleb Stanford, International Colloquium on Automata, Languages, and Programming (ICALP), July 2017. Slides

Software

Other Projects

Exposition

Caleb Stanford Twitter

Caleb Stanford GitHub

Caleb Stanford Google Scholar

Caleb Stanford DBLP

Caleb Stanford ORCID

Caleb Stanford Wikipedia

Contact

castan at cis upenn edu