It has been a while since I posted here. A lot has been going on. I have been doing research work on two fronts - at work, as a Research Data Scientist and a Tech Lead for capacity and efficiency data science at Facebook.
In 2020, I started developing transitive-resource-usage causal models. Cannot disclose anything here, for obvious reasons.
With the amazing colleagues, we presented a queueing-based power model that we have developed and put into operation at the WWW '21: The Web Conference 2021 Ljubljana Slovenia April 19 - 23, 2021 (it was virtual, we did not go to Slovenia; maybe next time!). The paper that became the foundation of the presentation became published in the ACM Digital Library.
At the same time, I made three presentations at INFORMS - 2019, 2020, and 2021 - as part of my Doctoral research at Stevens. The links to the slides are here:
- INFORMS 2019: Machine Learning and Data Mining in Identification of Unhappy Communities
- INFORMS 2020: Using Machine Learning to Identify the Factors of People's Mobility
- INFORMS 2021: Social Cohesion and Emotion Analysis of Media During 2020 Wildfires: a Case Study
Gilgur, A., Ramirez-Marquez, J.E. Using Deductive Reasoning to Identify Unhappy Communities. Soc Indic Res 152, 581–605 (2020). https://doi.org/10.1007/s11205-020-02452-2
The offprint is available on request. The INFORMS 2019 talk was on the same topic, but in a more "live" form.
Other than work and research - we (Sophia and I both) got our ASA 104 (Bareboat Cruising) certificates; sailed in British Virgin Islands (BVI) in December 2019 - right before COVID struck; sailed in Croatia in September 2021.
Cheers!