Mitch Gusat           

Mitch Gusat is a researcher at the IBM Zurich Research Laboratory. His current focus is on high dimension times series data mining and ML meta-models for on/off-line Anomaly Detection for Performance and Security apps in the Cloud, e.g., high-D streaming systems (large graphs with 100s-1000s KPIs per node) with causality constraints / root cause analysis.

Until recently he was busy with performance analysis, quantitative modeling and optimization for large distributed systems - ie., stability conditions, saturation scenarios, congestive bottlenecks - detection, prediction and control. Here he worked on the feedback control and performance modeling of large distributed systems and lossless datacenter networks beyond 100Gbps - including their flow and congestion control, adaptive routing, workload optimization and monitoring. In this area he has contributed to the standardization of Converged Enhanced Ethernet/802 DCB, InfiniBand and RapidIO - while also advising Master and PhD students from several European universities. His other research interests include switching, Software Defined Networking, HPC interconnection networks, shared (virtual) memory, real-time scheduling, high performance protocols and IO acceleration.

Prior to this Mitch has worked on cache coherent HPC systems, packet switching, message passing networks, real-time distributed systems, interconnection networks for cache-coherent snooping SMP and cc-NUMA systems. He was a Research Associate at the University of Toronto where he contributed to the design and construction of NUMAchine, a 64-way cache-coherent computer. In a former lifetime, Mitch was student and then researcher at the Politechnical University of Timisoara, where he has designed multiprocessor systems, video interfaces, algorithms and image processors for Nuclear Cardiology. He has Masters in CE, resp. EE, from the above universities. He is member of ACM, IEEE, and holds a few dozen patents. In addition to his TPC activity for IEEE/ACM conferences, Mitch is reviewing technical papers for a number of IEEE and ACM journals, as well as networking and computer architecture books.