University of Minnesota
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Sanjai Rayadurgam

Photo of Sanjai Rayadurgam
Director of the Software Engineering Center
Phone Number: 
612-625-0331
Office Location: 
6-202 Keller Hall
Education: 
B.Sc. in Mathematics, University of Madras, Chennai (1989)
M.E. in Computer Science and Engineering, Indian Institute of Science, Bengaluru (1993)
Ph.D. in Computer and Information Sciences, University of Minnesota, Minneapolis (2004)
Biography: 

Sanjai Rayadurgam is the director of the University of Minnesota Software Engineering Center and is a Research Project Specialist in the Department of Computer Science and Engineering. His research interests are in software testing, formal analysis and requirements modeling, with particular focus on safety-critical systems development. Prior to his work at the University of Minnesota, he worked at Boston Scientific, performing advanced tools development, systems engineering, and verification and validation of implantable cardiac device. He For his doctoral dissertation he developed techniques to automatically derive tests from behavioral models of software that could meet stringent coverage criteria. He has co-authored several research papers and articles in software engineering. He was a co-organizer of Dagstuhl seminar on Software and Systems Traceability for Safety-Critical Projects in 2015, was a program co-chair for the NASA Formal Methods Symposium in 2016 and is in the program committees of various workshops and conferences in software engineering.

Research: 
His recent research areas include contract-discovery and coverage techniques for black-box object-code components funded by a NSF grant, test generation and verification of plan executions for autonomy platforms funded by a NASA grant, testing techniques of learning enabled components for assuring autonomous systems funded under a DARPA project and model based fuzz testing funded under an ONR project.
Interests: 
Software Engineering, Formal Methods, Automated Testing, High Assurance Autonomy

Recent Publications

Compositional Verification of a Medical Device System

Complex systems are by necessity hierarchically organized; they are decomposed into subsystems for intellectual control as well as the ability to have the subsystems created by several distinct teams. This decomposition affects both requirements and architecture; the architecture describes the structure and this affects how requirements are ``flowed down'' to each subsystem, and discoveries in the design process may affect the requirements. Demonstrating that a complex system satisfies its requirements when the subsystems are composed is a challenging problem.

Cyber-Physical System Requirements - A Model Driven Approach

Systems where the physical world interacts extensively with often distributed and networked-software are referred to as Cyber-Physical Systems (CPS). Gathering and analyzing CPS requirements poses unique challenges to the requirements engineering community - a perspective that is sensitive to the scoping and interplay between the cyber, physical and behavioral aspects of the system.

Modes, Features, and State-Based Modeling for Clarity and Flexibility

The behavior of a complex system is frequently defined in terms of operational modes—mutually exclusive sets of the system behaviors. Within the operational modes, collections of features define the behavior of the system.

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