Michel Gokan Khan

Education

• Postdoc Fellow in ML-Based Optimization - KTH Royal Institute of Technology (Mar 2024 - Present)
  • Focus: Computer Vision, 3D Reconstruction, Digital Twinning, Object Detection, and Machine Learning Driven Optimization of Production in Industry 5.0
  • Project: Smart Predictive Maintenance for the Pharmaceutical Industry. [Peoject Homepage]
• PhD in Computer Science - Karlstad University (Oct 2017 - Nov 2023, Defended Jan 2024)
  • Thesis: Unchaining Microservice Chains: Machine Learning Driven Optimization in Cloud Native Systems. [Download] [Video]
• MSc in Software Engineering - Iran University of Science and Technology (2013 - 2015)
  • Focus: High Performance Distributed Systems
  • Thesis: SLA-Aware Virtual Machines CPU Scheduling in Cloud Environments
• BSc in Applied Mathematics - Azad University, Tehran (2007 - 2013)
  • Focus: Applications of Mathematical Optimization in Computer Science

Industrial Work Experience

• Industrial Postdoctoral Fellow in ML-Based Optimization - KTH in collaboration with AstraZeneca (Mar 2024 - Present)
  • Leading machine learning-driven optimization research for predictive maintenance [Project Homepage]
• Chief Technology Officer (CTO) - Spotin AB (Feb 2022 - Jan 2024)
  • Oversaw the tech stack and led teams towards innovation and microservice architecture.
• Doctoral Researcher - Ericsson (May 2018 - Jan 2020)
  • Researched and patented methods for performance modeling and optimization in 5G Core systems. This was a part of research internship.
• Tech Lead/Agile Lead/Solution Architect - RM Innovation (Feb 2016 - Jan 2017)
  • Designed B2B2C solutions and transitioned the organization to agile methodologies.
• Co-Founder and CEO - Olam Technologies Group (Jun 2011 - Dec 2015)
  • Developed SaaS/PaaS solutions and home automation technologies.
• Senior Fullstack Developer - Vaimo AB (Oct 2013 - Oct 2014)
  • Contributed to high-profile online retail projects using Magento.
• Principal Full Stack Developer - Nutriga Technology (Dec 2009 - Jan 2011)
  • Delivered diverse online solutions across industries.
• Software Developer - Setareh Sepehr Afzar (Jan 2008 - Dec 2009)
  • Created a Windows-based fixed asset management application.

Publications and Patents

For a complete list of publications, please refer to my Google Scholar profile.

• Journal Articles:
  • "Kani: a QoS-aware hypervisor-level scheduler for cloud computing environments" - Cluster Computing, 2016. Authors: Esmail Asyabi, Azadeh Azhdari, Mostafa Dehsangi, Michel Gokan Khan, Mohsen Sharifi, Sayed Vahid Azhari. [Link]
  • "Service Function Chain Placement for Joint Cost and Latency Optimization" - Mobile Networks and Applications, vol. 25, no. 6, pp. 2191-2205, 2020. Authors: Mohammad Ali Khoshkholghi, Michel Gokan Khan, Kyoomars Alizadeh Noghani, Javid Taheri, et al. [Link]
  • "PerfSim: A Performance Simulator for Cloud Native Microservice Chains" - IEEE Transactions on Cloud Computing, 2021. Authors: Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler. [Link] [Homepage] [Dataset]
• Conference Papers:
  • "NFV-Inspector: A systematic approach to profile and analyze virtual network functions" - In Proc. IEEE International Conference on Cloud Networking (CloudNet), 2018. Authors: Michel Gokan Khan, Saeed Bastani, Javid Taheri, Andreas Kassler, Shuiguang Deng. [Link] [Code in Github]
  • "Automated Analysis and Profiling of Virtual Network Functions: the NFV-Inspector Approach" - In Proc. IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2018. Authors: Michel Gokan Khan, Javid Taheri, Andreas Kassler, Marian Darula. [Link]
  • "A Performance Modelling Approach for SLA-Aware Resource Recommendation in Cloud Native Network Functions" - In Proc. IEEE Conference on Network Softwarization (NetSoft), 2020. Authors: Michel Gokan Khan, Javid Taheri, Mohammad Ali Khoshkholghi, Andreas Kassler, et al. [Link]
  • "Performance Benchmarking of Virtualized Network Functions to Correlate Key Performance Metrics with System Activity" - In Proc. International Conference on Network of the Future (NoF), 2020. Authors: Yogesh Sharma, Michel Gokan Khan, Javid Taheri, Andreas Kassler. [Link]
  • "Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach" - In Proc. IEEE International Conference on Communications (ICC), 2024. Authors: Michel Gokan Khan, Javid Taheri, Andreas Kassler, Arsineh Boodaghian Asl. [Link]
  • "Model-Based Interview Method Selection Approach in Participatory Design" - In Interactivity and the Future of the Human-Computer Interface, 2020. Authors: Arsineh Boodaghian Asl, Michel Gokan Khan. [Link]
  • "An Empirical Study on GUI-ii Interview Methods in Participatory Design" - In Proc. International Conference on Interfaces and Human Computer Interaction, 2019. Authors: Arsineh Boodaghian Asl, Michel Gokan Khan. [Link]
  • "Studying the Effect of Online Medical Applications on Patients Healing Time and Doctors Utilization Using Discrete Event Simulation" - In Proc. IEEE International Conference on E-Health and Bioengineering (EHB), 2019. Authors: Arsineh Boodaghian Asl, Michel Gokan Khan. [Link]
• Books and Book Chapters:
  • "Introduction to Edge Computing" - In Edge Computing: Models, Technologies and Applications, Institution of Engineering and Technology, 2020. Authors: Auday Al-Dulaimy, Yogesh Sharma, Michel Gokan Khan, Javid Taheri. [Link]
  • "Edge Computing: Models, Technologies and Applications" - Institution of Engineering and Technology, 2020. Editors: Javid Taheri, Shuiguang Deng. Authors: Javid Taheri, Et. Al. [Link]
  • "Resource allocation models in/for edge computing" - In Edge Computing: Models, Technologies and Applications, 2020. Authors: Mohammad Ali Khoshkholghi, Yogesh Sharma, Michel Gokan Khan, Auday Al-Dulaimy, Javid Taheri.
  • "Networking models and protocols for/on edge computing" - In Edge Computing: Models, Technologies and Applications, 2020. Authors: Yogesh Sharma, Michel Gokan Khan, Auday Al-Dulaimy, Mohammad Ali Khoshkholghi, Javid Taheri. [Link]
  • "Open-source projects for edge computing" - In Edge Computing: Models, Technologies and Applications, 2020. Authors: Michel Gokan Khan, Auday Al-Dulaimy, Mohammad Ali Khoshkholghi, Javid Taheri. [Link]
• Patents:
  • "Performance Modeling for Cloud Applications" - US Patent 11,962,474, 2024. Inventors: Michel Gokan Khan, Wenfeng Hu, Carolyn Cartwright, Huiyuan Wang. [Google Patents]
• Theses:
  • "Unchaining Microservice Chains: Machine Learning Driven Optimization in Cloud Native Systems" - PhD Thesis, Karlstad University, 2023. Author: Michel Gokan Khan. [DiVA Portal] [Video]
  • "Performance Modelling and Simulation of Service Chains for Telecom Clouds" - Licentiate Thesis, Karlstad University, 2021. Author: Michel Gokan Khan. [DiVA Portal]
  • "SLA-Aware Virtual Machines CPU Scheduling in Cloud Environments" - Master's Thesis, Iran University of Science and Technology, 2015. Author: Michel Gokan Khan. [Link]

Honors and Awards

• IEEE Best Paper Award at NetSoft ’20 (Jul 2020). [Link]
• IEEE Young Professional of the Month (May 2019). [Link]
• IEEE Best Paper Award at NFV-SDN ’18 (Nov 2018). [Link]
• Nominated for Best Mobile Execution in Swedish Game Awards (2019). [Link]
• IEEE ComSoc Travel Grant at CloudNet ’18 (Oct 2018). [Link]
• 5th place in IranOpen International RoboCup 2D Soccer Simulation League (2006)

Talks and Podcasts

1. "The Latest AI Trends in Software Development with Michel Gokan Khan" - Amplifyre Podcast, February 2023. [YouTube]
2. "AI: Reshaping the Software Landscape" - Skript Tech Podcast, July 2023. [Apple Podcasts]
3. "From NFV-Inspector to EasyEPC: Towards NFV Optimization and Capacity Planning of vEPC and 5G Core" - Private talk at Ericsson, January 2020 (NDA restricted).
4. "A Tech Talk with Michel Gokan Khan" - Fullstack Radio (In Persian), April 2019. [Link]
5. "5G and Future Directions" - Public event at Vaimo AB, Stockholm, December 2018.
6. "PhD Defence Presentation: Unchaining Microservice Chains: Machine Learning Driven Optimization in Cloud Native Systems" - January 2024. [YouTube]
7. "ML for Digital Twinning and Predictive Maintenance: AstraZeneca Case Study" - Scientific Machine Learning for Simulation and Inverse Modelling Mid-term Workshop, KTH Royal Institute of Technology, June 2024. [Workshop Link]
8. "AI-Driven Digital Twins in Action: From Cloud Native Systems to Advanced Industrial Applications" - Digital Future's Seminar Series, December 2024. [Link to the Seminar] [Digital Futures YouTube Channel] [Link to the Talk]

Press Releases

• "Michel Gokan Khan går in som ny CTO på Spotin" - IT Media Group (IMG), February 2022. [Link]
• "Michel Gokan Khan teknikchef på Spotin" - Affärer i Norr News, March 2022. [Link]
• "Michel Gokan Khan Won The Best Student Paper Award At IEEE NetSoft 2020" - Karlstad University Press, August 2020. [Link]
• "New Platform Facilitates The Work Of NFV Researchers" - Karlstad University Press, February 2019. [Link]
• "Interview with Michel Gokan Khan - IEEE Young Professional of the Month Award" - IEEE Sweden YP Group, May 2019. [Link]
• "Meet our CTO: Michel Gokan Khan" - Spotin AB Press Release, November 2022. [LinkedIn]

Course Lectures and Teaching Courses

Teachings/Course Lectures

• Distributed Systems and Applications (DVGC15) - Co-lecturing in February 2019 and October 2019, Karlstad University. [Course Homepage]
• Databases (DVGA21) - Running labs in 2018, 2019, and 2020, Karlstad University. [Course Homepage]
• Computer Networking II (DVGC02) - Designing and running labs during 2020-2021 and lecturing during lab sessions, Karlstad University. [Course Homepage]
• Programming Techniques (DVGA01) - Running labs during 2019-2020, Karlstad University. [Course Homepage]

Teaching Related Courses

• Teaching at University: Knowledge, learning and practical teaching (KLL) - 80 Hours, Certificate Acquired May 2021, Karlstad University. [Course Homepage]
• Doctoral Supervision (LH207V) - 80 Hours, Certificate To Acquired December 2024, KTH Royal Institute of Technology. [Course Homepage]

Thesis Supervisions

• "A Framework for Seamless Server-Driven UI Component Integration into Existing Mobile Applications" - BSc Thesis by Oliver Högberg, December 2022, Luleå University of Technology. [DiVA Portal]
• "Improvement of Power Consumption in IoT Networks - Using Heterogeneous Clustering in Energy" - Co-supervised Master's Thesis by Hamed Moases, Azad University, December 2020.

Contact Information

Email:

Office: School of Engineering Sciences, KTH Royal Institute of Technology

Address: Lindstedtvägen 25, Stockholm, Sweden

Links:

• KTH Profile
• LinkedIn
• Google Scholar