Red Hat Research Quarterly
About the author
Ilya Kolchinsky is a research scientist with Red Hat Research, specializing in the various aspects of AI-based system optimization. He has a PhD and BS in Computer Science, both from Technion, Israel Institute of Technology. His past and present research interests include cloud optimization, ML-driven resource management in containerized deployments, pattern mining in streaming data, stream and complex event processing optimization, distributed systems, automatic software testing/debugging, anomaly detection, and more.
Articles by this author
Since the inception of artificial intelligence research, computer scientists have aimed to devise machines that think and learn like human beings. What else could AI do?
A new project seeks to make effective testing more compatible with expeditious releases In August 2021, a team of graduate students from IDC Herzliya, a leading research college in Israel, began working on a test case prioritization (TCP) project under the guidance of senior engineers from Red Hat. The goal of the TCP project is […]
Successful industry-academia relationships don’t just happen. Here’s what it takes to start a collaboration and make it work. As a research supervisor, one of my most important tasks is finding a good fit between engineers with a problem and academicians who can collaborate with them on a project to explore some aspect of that problem. […]
Cost optimization is a core challenge for users of cloud computing platforms. An open source tool is now available to solve it. The era of cloud computing has introduced endless possibilities through access to vast amounts of computing power, storage, and software over the internet. This growth has led to a shift towards remote work, […]