School of Computer Science Colloquium Presentation #2 Announcement by Dr. Olena Syrotkina:"SCADA DIAGNOSTICS BASED ON CHANGES OF THE INFORMATION FLOW STATES"

Friday, October 1, 2021 - 11:00 to 12:30


The School of Computer Science at the University of Windsor is pleased to present…  

Colloquium Presentation #2 by Dr. Olena Syrotkina 

Photo of Dr. Olena Syrotkina, School of Computer Science Colloquium presenter
Date: Friday October 1, 2021 
Time: 11:00am – 12:30pm 
Passcode: If interested in attending this event, contact the Graduate Secretary at with suffient notice before the event to obtain the passcode.


In recent years, the way people control and interact with numerous kinds of technology has radically changed. When various processes and systems need to be automated, SCADA (Supervisory Control and Data Acquisition) takes a leading role. Modern SCADA systems are widely spread all over the world to control and monitor automation in various industries such as automotive, medicine, mining, metallurgy, natural gas, power generation, etc. Since these are key systems and bear enormous responsibility, modern SCADA systems must meet strict requirements regarding reliability and fault-tolerance. This can be achieved by improving the methods of their automatic self-diagnostics, in real time, with the possibility of auto-recovery, and thus continue operating, after reversible failures. Therefore, this research is devoted to creation and application methods for SCADA automatic diagnostics and auto-recovery after these types of failures. It is possible to achieve this by studying the changes of the information flow states as they pass through SCADA structural elements and levels of hierarchy. A direct result of developing such methods significantly increases a particular system’s reliability and fault tolerance in industrial operations. This is especially important for critical objects as well as objects which may be risky or dangerous. The end result is increased productivity, safety, and reliability. 


Olena Syrotkina was born, raised and educated in the Ukrainian city of Dnipro. Upon completion of her Bachelor’s and Master’s degrees in computer science at Dnipro University of Technology (Dnipro, Ukraine) she became an assistant lecturer there and taught, for ten years, various computer science courses to students from diverse cultural backgrounds. In 2018, she received a Ph.D. in Mathematical Simulation and Methods of Computation from the National Metallurgical Academy of Ukraine and later that year was promoted to Associate Professor. 
In addition to her teaching duties, she has also researched the practical application of SCADA and big data as it pertains to industry and has written numerous articles which were published in scientific journals. As a diploma supervisor, she has guided many students to the successful completion of their bachelor’s and master’s degrees.  
Olena enjoys teaching and has always found the experience to be both challenging and rewarding. She is constantly working on increasing her professional skills. In 2018-2019, she participated in the International Academic Mobility Program (Krakow/Wroclaw, Poland). In 2020, Olena had an internship with the software development company named EPAM Systems, Inc. (Kyiv, Ukraine). During her internship with this company, Olena developed her skills in project management, general tech and also enhanced her soft skills. In her free time, Olena enjoys learning new languages and developing her programming skills. 
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 (working remotely)