Hakob Tamazyan
Yerevan State University
Research Interests
About
Publications
On Proof Complexities Relations in Some Systems of Propositional Calculus
Mathematical Problems of Computer Science / Dec 25, 2020
Tamazyan, H., & Chubaryan, A. (2020). On Proof Complexities Relations in Some Systems of Propositional Calculus. Mathematical Problems of Computer Science, 138–146. https://doi.org/10.51408/1963-0068
The Relationship Between the Proof Complexities of Linear Proofs in Quantified Sequent Calculus and Substitution Frege Systems
Mathematical Problems of Computer Science / May 31, 2023
Tamazyan, H. A. (2023). The Relationship Between the Proof Complexities of Linear Proofs in Quantified Sequent Calculus and Substitution Frege Systems. Mathematical Problems of Computer Science, 59. https://doi.org/10.51408/1963-0099
ՀՀ ԳԱԱ Արվեստի ինստիտուտի ներդրումընոր և նորագույն շրջանների հայ կերպարվեստի ուսումնասիրության մեջ
Journal of Art Studies / Aug 18, 2021
ԱվագյանԱրթուր. (2021). ՀՀ ԳԱԱ Արվեստի ինստիտուտի ներդրումընոր և նորագույն շրջանների հայ կերպարվեստի ուսումնասիրության մեջ. Journal of Art Studies, 116–126. https://doi.org/10.52853/25792830-2021.1-116
A Hierarchy of Determinative Sequent Systems with Different Substitution Rules
Proceedings of Computer Science and Information Technologies 2023 Conference / Sep 14, 2023
Tamazyan, H., & Chubaryan, A. (2023, September 14). A Hierarchy of Determinative Sequent Systems with Different Substitution Rules. Proceedings of Computer Science and Information Technologies 2023 Conference. https://doi.org/10.51408/csit2023_06
Self-supervised Pretraining of Vision Transformers for Earth Observation
Fuller, A. (n.d.). Self-supervised Pretraining of Vision Transformers for Earth Observation [Carleton University]. https://doi.org/10.22215/etd/2023-15793
Education
Yerevan State University
Ph.D., Informatics and Applied Mathematics
Yerevan State University
MSc, Informatics and Applied Mathematics / June, 2021
Yerevan State University
BSc, Informatics and Applied Mathematics / June, 2019
Experience
YerevaNN
Machine Learning Researcher / April, 2023 — Present
Analyzing local Representations of self-supervised vision transformers. Based on this work we published the following paper: https://arxiv.org/pdf/2401.00463.pdf; ◦ Foundation Model for Aerial Imagery; ◦ Aerial Vision-and-Dialog Navigation.
Mobeus
Staff Machine Learning Engineer / November, 2022 — March, 2023
Gesture Recognition: • The goal is to develop a system that can accurately classify and recognize different gestures as they happen, without any delay; • The number of gestures can be very high; • Both static and dynamic gestures should be detected.
Krisp
Staff Machine Learning Engineer / January, 2022 — November, 2022
Worked on creating real-time state-of-the-art video segmentation/matting technology.
Senior Machine Learning Engineer II / January, 2020 — January, 2022
State of the art image segmentation pipeline
Image Processing Machine Learning Scientist/Engineer / May, 2019 — January, 2020
Audio Dereverberation; Image Segmentation
BetConstruct
Machine Learning Engineer / September, 2017 — April, 2019
Worked on: Time series data analysis and forecasting; • Image classification and clustering for specific tasks; • Football match object detection; • The client’s certain behavior prediction like addiction, churn, etc.
Links & Social Media
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