Daniel

Balouek-Thomert

My name is prononced "Bah-loo-ak Tom-air"


Research Associate
Scientific Computing and Imaging (SCI) Institute
University of Utah
daniel.balouek@utah.edu

Research Interests

My research interests are broadly in the areas of distributed systems. My current research is focused on the control and advanced use of Edge computing systems in regard to the content of the data, the cost of computations, and the urgency of the results. Cyberinfrastructures, AI/ML applications, and data-centric/middleware systems are some of the applications of this research.

Recent Highlights

[Programme Committees] 2022: I am serving as a PC member for IEEE/ACM CCGrid 2022 (Artificial intelligence, Machine Learning and Deep Learning Track), IEEE/ACM SuperComputing 2022 Reproducibility challenge and ICCS 2022.
[PhD Defense] 2021: My PhD student, Zeina Houmani, has successfully defending her thesis: Data-driven microservices architectures.
[Impact] 2021: Our joint work with Inria on Earthquake Early Warning was cited by Le Monde.
[Conference Paper] 2020: Our AAAI paper has received an outstanding paper award in Artificial Intelligence for Social Impact.

Background

Before joining SCI, I was a Research Associate at the Rutgers Discovery Informatics Institute led by Manish Parashar, where I investigated programming support and resource management for data-driven analytics and edge computing applications (2017-2021). I received a Ph.D. degree from the Ecole Normale Superieure de Lyon in France (2016) under the supervision of Eddy Caron and Laurent Lefevre as part of the Inria Avalon Team. My PhD research focused on implementing tradeoff mechanisms between performance and energy consumption for large scale cloud applications. I've extented this work as a visiting fellow at Mahindra Ecole Centrale in Hyderabad, India (2015). Before that, I worked as a Junior Engineer at Inria, the French Institute for Research in Computer Science (2011-2013) and interned at the National Institute of Informatics in Tokyo, Japan (2009-2010).

Supervision

[2018 - 2021] Zeina Houmani. PhD candidate in joint supervision with ENS Lyon, France.
Subject: A Data-driven microservices architecture for Deep Learning applications.

Teaching

Fall 2022
Programming for Engineers (School of Computing - ME EN 5250, BME 5900, COMP 5005).
Please use [Prog4Eng-F2022] in the subject of your email.

Projects

   

The site is new and growing, you can find more research and projects on my former page.