Mikhail M. Meskhi
About Me
I am a Ph.D. student in the Department of Computer Science at the University of Houston. I am fortunate to work with and be advised by Prof. Ricardo Vilalta. I am also co-supervised by Prof. Nghia Hoang from the University of Washington State. I am currently an intern at Merck Research Lab’s DSRT team working on building custom meta-learning frameworks for early drug discovery. In 2019, I obtained my Bachelor’s of Science in Computer Science from North American University.
Research Interests
- Machine Learning: meta-learning, data distillation, transfer learning
- Computer Vision: few-shot learning, incremental learning, image classification
News
- [May 2023] I joined Merck MRL as an intern to work on meta-learning in early drug discovery.
- [Sep. 2022] Our paper on KD estimation is accepted to The Astrophysical Journal Letters.
- [Jun. 2022] I joined National Research Lab as a data science intern to work on topic modeling.
- [Feb. 2022] Our book chapter on knowledge transfer across tasks is published in Metalearning.
- [Jan. 2021] Our paper about meta-features is accepted to AAAI Meta-learning workshop.
Publications
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AAAI
AAAI Workshop on Meta-Learning and MetaDL Challenge (AAAI), 2021. -
The Astrophyical Journal Letters
The Astrophysical Journal Letters (ApJL), 2022. -
Springer
Metalearning: Applications to Automated Machine Learning and Data Mining (Springer), 2022. -
ASP
Astronomical Society of the Pacific (ASP), 2019.
Services
Conference Reviewers
AISTATS Conference 2022 AutoML Conference and Meta-Learning Workshop 2022 NeurIPS Meta-Learning Workshop 2022
Journal Reviewers
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