| Biography | Tevfik Kosar has 20+ years of research and 15+ years of management experience in applying state-
of-the-art AI/ML solutions to enhance the performance, scalability, and sustainability of distributed systems, hybrid and multi-cloud computing. and edge-to-cloud pipelines. His research combines novel data science, machine learning and systems research to provide robust, intelligent and
sustainable solutions for end-to-end data lifecycle automation, resource capacity planning, quality of experience optimization for real-time and on-demand networked I/O, poor cause analysis, and dynamic online resource scheduling. His significant contributions has been in the areas of green computing, performance and energy efficiency in large-scale computing systems (i.e., clouds, HPC, and data centers), and incorporation of edge/IoT to digital continuum over wide-area networks. Major application areas of his research includes genomics, health sciences, emergency response, and environmental sciences. He has published over 100 peer-reviewed journal and conference papers in this area, and led the development of several widely used innovative research software, tools, and algorithms. | |
| Skills | Computer Networks, Clean Technology, Computer Software, Artificial Intelligence, Distributed Systems, Computer Science, Cloud Computing, green computing, sustainability, HPC, data centers, optimization, energy efficiency, scalability, performance | |