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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

About me

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Automatic classification of humpback whale social calls

Published in The Journal of the Acoustical Society of America, 2017

Note: this is an abstract within the ASA proceedings, to accompany an oral presentation; not a full article. This is a result of my 2016 REU project.

Recommended citation: Tolkova, Irina, Lisa Bauer, Antonella Wilby, Ryan Kastner, and Kerri Seger. "Automatic classification of humpback whale social calls." The Journal of the Acoustical Society of America 141, no. 5 (2017): 3605-3605.

Feature Representations for Conservation Bioacoustics: Review and Discussion

Published in IJCAI 2021 Workshop on AI for Social Good, 2021

Abstract: Acoustic analysis is becoming a key element of environmental monitoring for wildlife conservation. Passive acoustic recorders can document a variety of vocal animals over large areas and long time horizons, paving the path for machine learning algorithms to identify individual species, estimate abundance, and evaluate ecosystem health. How- ever, such techniques rely on finding meaningful characterizations of calls and soundscapes, capable of capturing complex spatiotemporal, taxonomic, and behavioral structure. This article reviews existing methods for computing informative lower- dimensional features in the context of terrestrial passive acoustic monitoring, and discusses directions for further work.

Recommended citation: Tolkova I. "Feature Representations for Conservation Bioacoustics: Review and Discussion." IJCAI 2021 Workshop on AI for Social Good (2021).

talks

teaching

Teaching Fellow for CS182: Introduction to Artificial Intelligence

Undergraduate course, Harvard University, Computer Science, 2018

I was a teaching fellow for Harvard’s undergraduate course Computer Science 182: “Introduction to Artificial Intelligence”, which covered search algorithms, Markov models, Bayesian networks, reinforcement learning, classification problems, and motion planning for robotics. My responsibilities included teaching weekly section, developing course materials, mentoring students on final projects, and overseeing the class forum.

Head Teaching Fellow for AM22a

Undergraduate course, Harvard University, Applied Math, 2019

I was the head teaching fellow for Harvard’s undergraduate course Applied Math 22a: “Solving and Optimizing”, which covered linear algebra, multivariate calculus, and introductory optimization. My responsibilities included teaching weekly section, holding office hours, grading, overseeing the class forum, and developing course materials.

Teaching Fellow for ES 159/259

Undergraduate course, Harvard University, Applied Math, 2020

I was a teaching fellow for Harvard’s undergraduate and graduate course Engineering Sciences 159/259: “Introduction to Robotics”, which covered kinematics, dynamics, control, path planning, and contemporary research topics. My responsibilities included developing biweekly labs, holding office hours, and grading. In particular, due to COVID-19, I was responsible for establishing a path-planning framework in a simulation environment as an alternative to running experiments in hardware.

Head Teaching Fellow for AM22a

Undergraduate course, Harvard University, Applied Math, 2020

I was the head teaching fellow for Harvard’s undergraduate course Applied Math 22a: “Solving and Optimizing”, which covered linear algebra, multivariate calculus, and introductory optimization. My responsibilities included holding office hours, grading, and developing course materials.