Kenneth Brezinski

🌊 Instrumentation and Controls Engineer @ WSP
🤖 Cyber Security Researcher at the University of Manitoba

I currently work as an Instrumentation and Controls Engineer at WSP Canada, where I work on Industrial Controls and Automation for various water infrastructure as a Professional Engineer (BC, MB), Certified Technician (BC, MB), and Chemist-in-Training (AB).

I am also a Post Doctoral Fellow at the University of Manitoba where I research the application of Chaos Theory and Fractal Complexity analysis towards improving machine learning and deep learning frameworks.

Previously I completed my Ph.D in Electrical and Computer Engineering at the University of Manitoba. Before that, I completed my M.Sc. in Civil Engineering from the University of Manitoba, and my B.Sc. in Chemistry from the University of Winnipeg.

🎓 Academic CV 💻 Instrumentation and Controls Resume 🌱 Environmental Resume

Professional Experience

image-left Visiting Researcher, University of New South Wales
Fall 2026 (expected), Canberra, Australia
  • Research temporal graph-based intrusion-detection models for Operational Technology (OT) networks at the Australian Defence Force Academy (UNSW@ADFA) under the supervision of Prof. Jiankun Hu.
image-left Instrumentation and Controls Engineer, WSP
Summer 2023 - present, Vancouver, BC
  • Design and integrate industrial controls and automation solutions for water system infrastructure, including OT networks, SCADA systems, PLC programming, and HMI development.
image-left Post Doctoral Fellow, University of Manitoba
Fall 2024 - present, Winnipeg, Canada
  • Working with Canadian Tire Corporation on the application of Chaos Theory and Fractal Complexity analysis towards improving machine learning and deep learning frameworks.
image-left Visiting Researcher, National Institute of Informatics
Winter 2022, Tokyo, Japan
  • Worked on detecting networking threats and scanners in backbone network traffic targeting Japanese research institutions under the supervision of Dr. Kensuke Fukuda.
image-left Data Scientist Intern, Microsoft
Summer 2022, Redmond, USA
  • Worked with the Windows Defender for Endpoint detection team to identify command and control connections and malicious DNS servers.
image-left Applied Research Scientist II Intern, Amazon
Summer 2021, New York, USA
  • Worked with the Amazon GuardDuty Applied Machine Learning team on soft labelling honeypot malicious binaries in AWS EC2 instances.
image-left Lead Research Intern, Canadian Tire Corp.
Fall 2019 - Fall 2022, Winnipeg, Canada
  • Developed graph-based deep learning pipelines to detect metamorphic malware and enterprise security threats.