Mikhail Soutchanski, ProfessorPhD in Artificial Intelligence, University of Toronto, CanadaM.Sc. (Diploma with Honors), Moscow Institute of Physics and Technology ( Phys-Tech), State University Email: Thank you for not sending me email!
Office:
245 Church Street, room ENG275 (NE corner, the 2nd floor)
Mailing address: Thanks to my publications, according to Computer Science Rankings , Ryerson is #10 in Canada in (pure) Artificial Intelligence in 2019 (if ML, NLP, Vision and Information Retrieval are excluded). |
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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 Ryerson School of Graduate Studies or
the CS Graduate Program Assistant.
If you have been admitted to Ryerson, please feel free to reach out if you're interested
in discussing research opportunities in my group. I would strong 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, inform me.
Recent Teaching
CPS 815 / CP8201:
Topics in Algorithms , an undergraduate course (Fall 2019).
CPS 721:
Artificial Intelligence 1 , an undergraduate course (Fall 2019).
CP8314 (Advanced AI) / CPS822
Artificial Intelligence 2:
Dynamic Systems in Artificial Intelligence.
A graduate / advanced undergraduate course (Winter 2020).
CPS 824 / CP8319:
Reinforcement Learning (Winter 2019).
A graduate / advanced undergraduate course.
CPS 40A/B:
Undergraduate Thesis , a two-term research oriented course (Winter 2019).
CP8310:
Directed Studies in Computer Science (Fall 2016),
a graduate 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.
CPS 125:
Digital Computation and Programming (Winter 2017), an undergraduate course.
WWW links
Quotes
"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"