Mikhail Soutchanski  

Mikhail Soutchanski, full professor

PhD in Artificial Intelligence, University of Toronto, Canada.

Email:   Thank you for  not  sending me email!
Exception: if you would like to discuss research over Skype or Zoom,
then please feel free to email me   MyFamilyName (at) protonmail (dot) com

Office: 245 Church Street, room ENG275 (NE corner, the 2nd floor)
Computer Science is located in George Vari ENG building.
The Department of Computer Science is part of the Faculty of Science.
Phone: (416) 979 5000 ext 55-7954   (leave voicemail)
General enquiries:
        Mr. Victor Manuel Hu Wong (416) 979-5000 ext.55-7411
        or Ms. Erin Knight (416) 979-5000 ext.55-7410

Mailing address:
245 Church Street, ENG281
Department of Computer Science
Toronto Metropolitan (formerly Ryerson) University (TMU)
Toronto, Ontario, M5B 2K3, Canada

A photo of Mikhail

Some of my Publications  

Research interests

International students:
Unfortunately I am unable to respond to emails about graduate admission or possibility of working with me. Please contact the School of Graduate Studies or the CS Graduate Program Assistant. If you have been admitted to TMU, feel free to reach out if you're interested in discussing research opportunities in my group. I would strongly recommend to browse my recent research papers before you contact me and write why do you think our research interests match well. If you have published research papers yourself, inform me.

Recent Teaching    

CPS 721:   Artificial Intelligence 1  , an undergraduate course (Fall 2023).
CPS 40A/B:   Undergraduate Thesis  , a two-term research oriented course (Fall 2023 - Winter 2024).
Prerequisites: excellent programming skills, the grade "A" in CPS721 and GPA higher than 3.5

CPS822/CP8314     Artificial Intelligence 2 : Dynamical Systems in AI.
Advanced undergraduate / graduate course (Winter 2024).
CPS 815 / CP8201:   Topics in Algorithms ,   an undergraduate course (Winter 2024).

CPS 824 / CP8319:   Reinforcement Learning (Winter 2023).
A graduate / advanced undergraduate course.
CP8310/8311:   Directed Studies in Computer Science   (Winter 2022), a graduate course.
CPS 125:   Digital Computation and Programming   (Winter 2017), an undergraduate course.
CPS 616:   Analysis of algorithms ,   an undergraduate course (Winter 2014).
CP8201:   Algorithms and Computability,   (Fall 2013), a graduate course.
CPS603:   Foundations of Semantic Technologies   (Winter 2011), an undergraduate/graduate course.

WWW links

"In theory, theory and practice are the same. In practice, they are not."
"The proper method for inquiring after the properties of things is to deduce them from experiments."
"In questions of science, the authority of a thousand is not worth the humble reasoning of a single individual"
"An error does not become truth by reason of multiplied propagation, nor does truth become error because nobody sees it"
"The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge"
"The truth is simple. If it was complicated, everyone would understand it."
"There is nothing more practical than good theory"
"No more causes of natural things should be admitted than are both true and sufficient to explain their phenomena." (Rule 1)
"Therefore, the causes assigned to natural effects of the same kind must be, so far as possible, the same." (Rule 2)
"We learn more and more about less and less, and less and less about more, until we know everything about nothing and nothing about everything."
"When you have eliminated the impossible, whatever remains, no matter how improbable, must be truth."
"Imagination is more important than knowledge. For knowledge is limited to all we now know and understand, while imagination embraces the entire world, and all there ever will be to know and understand".
"Quid est veritas?" ("What is truth?")

Web mail