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Ivan Ruchkin » Computer Engineering

This division focuses on the theoretical and applied research by which next generation, high-performance computing and communications systems are designed, developed, and exploited.

Research fields include:

  • high-performance computer architectures and networks
  • parallel and distributed computing
  • fault-tolerant computing
  • real-time systems
  • intelligent systems
  • microprocessor-based systems
  • performance analysis

At the University of Florida, the undergraduate CpE program is jointly administered by the Department of Computer and Information Science and Engineering and the Department of Electrical and Computer Engineering.

More detailed information about the Computer Engineering major (CpE) is available at the CpE website.


Faculty

Area Chair: Tuba Yavuz
Photo of Ivan Ruchkin

Ivan Ruchkin

Assistant Professor

Office MALA 4103 Office Phone: 352-273-2171 Publications: https://scholar.google.com/citations?hl=en&user=2c00FlAAAAAJ&view_op=list_works&sortby=pubdate

Biography

Primary Research Area

Computer Engineering

Research Interests

Safe and trustworthy autonomy, cyber-physical systems, guarantees for learning components, formal methods, robotics, autonomous racing

Honors and Awards

NSF CAREER Award, 2025
Best Contributed Theoretical Paper for paper “Data Generation with PROSPECT: a Probability Specification Tool” at the Winter Simulation Conference. 12/2021
Frank Anger Memorial Award for crossover of ideas between the SIGSOFT (software engineering) and SIGBED (embedded systems) communities. 05/2017
Best Paper Award for paper “Challenges in Physical Modeling for Adaptation of Cyber- Physical Systems” at the Third IEEE World Forum on the Internet of Things. 12/2016
Gold Medal in the ACM Student Research Competition at MODELS 2015 for paper “Architectural and Analytic Integration of Cyber-Physical System Models.” 10/2015
ACM SIGSOFT Distinguished Paper Award for paper “Architectural Abstractions for Hybrid Programs” at the 18th International Symposium on Component-Based Software Engineering (CBSE), CompArch 2015. 05/2015

Education

Ph.D., Software Engineering, Carnegie Mellon University, School of Computer Science, Institute for Software Research, 2019
MS, Software Engineering, Carnegie Mellon University, School of Computer Science, Institute for Software Research, 2014
Specialist degree (with honors), Applied Mathematics and Computer Science, Lomonosov Moscow State University, 2011