Dr. Sebastian Fischmeister

Professor

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Biography

Sebastian Fischmeister is a Professor in the Department of Electrical and Computer Engineering and cross-appointed at the Cheriton School of Computer Science at the University of Waterloo. He conducts systems research at the intersection of software technology and distributed systems, focusing on formal methods. His preferred application areas encompass the domain of distributed real-time embedded systems, particularly in sectors such as automotive systems, avionics, and medical devices. Key highlights of his research include developing a framework for scalable location-based pervasive computing systems and creating communication schedules that ensure verifiable and flexible real-time communication. A modified version of his real-time communication framework has been successfully utilized in plug-and-play demonstrations involving medical devices that adhere to ASTM F29.21 standards. His ongoing work includes information extraction in time-sensitive systems, using data analytics for system validation and security, runtime monitoring of safety-critical systems, and evaluating the reliable and robust performance of embedded systems.

Research Interests

Awards

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APART

2005-01-01
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Research Forum LCTES'09

2009-01-01

Courses

ECE 455 - Embedded Software ECE 652 - Methods Principles Safety-Critical Embedded Software SE 350 - Operating Systems

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.