Ilya Kolchinsky is a research scientist with Technion, Israel Institute of Technology, specializing in the various aspects of optimizing event-oriented data stream processing systems. He has a PhD and BS in Computer Science, both from Technion. His research interests include stream processing optimization, distributed event-based systems, scalable processing of streams containing uncertain data, approximate complex event processing, stream mining, elastic stream processing, anomaly detection in data streams, and incorporating state-of-the-art machine learning techniques to extend the functionality and improve the performance of currently available stream processing solutions.