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Vladimir Filkov
ACM Distinguished Member
Professor, Computer Science Department
Director for Translational Data Science, DataLab
University of California, Davis
Office: Academic Surge, 2077 Office Hours: By appt.
Phone: 530-752-8393
Email: last name at cs dot ucdavis dot edu |
NEWS:
May 2024:New grant on Multimodal AI Models for Atrial Fibrilation
MM-Afib.
May 2024:New grant on UC-wide OSPO! Many thanks to the SLOAN foundation for funding this collaboration with 5 other UCs.
UC-OSPO.
Apil 2024:Our paper on researched actionables in SE has been accepted at
FSE IVR.
June 2023: The website for our project "Jumpstarting Nascent OSS Projects" is now
active.
May 2013: I
visited 3 campuses of Amrita University in Kochi, Comibatore, and Amritapuri. Thank you for the wonderful experiences!
March 2023: Our OSS Sustainability Forum was an unqualified success. Check out our blog
here.
January 2023: Many thanks to Google for the gift that will help us organize a forum on OSS Sustainability.
November, 2022: Our paper "On the Self-Governance and Episodic Changes in Apache Incubator Projects: An Empirical Study"
has been accepted for presentation at ICSE 2023. Congrats Likang Yin and coauthors! Final version is
here.
August, 2022: Our NSF GCR grant, to study OSS Sustainability using socio-technical and governance data, was approved for Phase II. Thank you to all our hard working students, postdocs, and PIs. And manythanks to NSF.
May, 2022: Our paper "Code, Quality, and Process Metrics in Graduated and Retired ASFI Projects" has been accepted for presentation at FSE 2022. Congrats Stefan and Likang Yin! Final version is
here.
November, 2021: Announcing a new postdoc position! Application review begins December 15, 2021. For additional details and how to apply see
here.
October, 2021: Our work on COVID admission models was featured on DataLab and Dateline. Check it out
here.
August, 2021: We did a podcast for the CHAOSS Community, on our work on OSS Sustainability forecasting. Check it out
here.
June, 2021: Dr. Stefan Stanciulescu joins our sustainability project. Welcome Stefan!
May, 2021: Our paper "Sustainability Forecasting for Apache Incubator Projects" has been accepted for presentation at FSE 2021. Congrats Likang Yin and coauthors! Final version is
here.
October 1, 2020: New grant (Phase I) (thanks NSF!), to study OSS Sustainability using socio-technical and governance data.
September 21, 2020: Likang Yin wins a Distinguished ACM SIGSOFT Distinguished Paper Award.
CS Dept post.
SERVICE:
Director of Translational Data Science at
UCD DataLab: I focus on providing the UC Davis and UC Davis Health
community of researchers with data science know-how and system resources. Ping me if you want to chat.
I also co-manage the DataLab Health Data Science and Systems Cluster, where we have meetings/talks/workshops
several times a month. Click
here to find out more and register for announcements.
RESEARCH INTERESTS:
I am a data scientist specializing in a number of applied areas
- Empirical Software Engineering:
In our DECAL research group we develop theory and methods
(based on statistical
models and data science) to aid in the
understanding of and improving the software
engineering processes
in complex, distributed and collaborative socio-technical
environments (mostly OSS projects).
We are finding that the social component is
necessary for understanding the technical contributions and vice-versa.
UC Davis is Ranked Number 5 in USA in Software Engineering by csrankings.org!
- Systems Biology and Gene Networks in Plants:
With plant biologists from the US Forest Service and UC Davis we study interesting
properties of plants and
mutants and tie them to the underlying biochemistry linking
their genes among each other.
In particular, we conduct RNA-seq, ChIP-seq, and
other experiments, and then integrate the large-scale
genomic data sets coming out
of them into biological models of plant growth.
- Applied Network Theory:
I also contribute to more theoretical work on understanding the topological structure
and characterizing complex networks in various domains, including the modeling of
biological, software and social networks.
- Data Mining And Algorithms:
In the past I worked on consensus clustering algorithms and biological data
integration and analysis methods.