Michel Gokan Khan
POSTDOKTOR
Details
Researcher
About me
Postdoc in ML-Driven Optimization of Production in Industry 5.0
Dr. Michel Gokan Khan is currently a Postdoctoral Researcher at the KTH Royal Institute of Technology and AstraZeneca, Sweden, concentrating on applying machine learning to optimize production processes in Industry 5.0, in collaboration with AstraZeneca. He holds a PhD in Computer Science from KAU Sweden, with his research focused on leveraging machine learning for optimizing cloud native systems.
Michel has an extensive background in both the academic and industrial sectors of technology. His experience includes serving as the Chief Technology Officer, team lead, and co-founder in various companies and engaging in research at companies such as Ericsson, during which he developed and patented a novel method in performance modeling and optimization for cloud native systems and also multiple contributions later utilized in 5G core prototypes. He has also participated in various types of robotic competitions including Robocup soccer simulation leagues.
His scholarly work includes extensive research on cloud, edge, and fog system performance optimization, and edge computing, contributing to some patents, journal articles, conference papers, and book chapters in the field. These publications cover a wide range of topics, including cloud computing, machine learning, and microservice architectures.
Michel has received several awards for his research, including the IEEE Best Paper Award at NetSoft '20 and NFV-SDN '18. His publication record demonstrates a consistent focus on improving and understanding the complexities of cloud computing and machine learning technologies, specifically in the realm of simulation, modeling, digital twinning, and optimization techniques.
In addition to his research, Michel is committed to education and mentorship, having lectured on distributed systems, databases, and computer networking, as well as supervising numerous thesis projects. His technical expertise encompasses a broad array of skills from cloud computing platforms to machine learning, optimization, programming languages and frameworks, underpinning his research and teaching activities.