Michel Gokan Khan

Education

• Postdoc Fellow in ML-Based Optimization - KTH Royal Institute of Technology (Mar 2024 - Jul 2025)
  • 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. [Project 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

• Chief Technology Officer (CTO) - Co-Cart AB (Jul 2025 - Present)
  • Co-Cart AB is a Swedish company that originates from the development and team behind Spotin (www.spotin.com). Together with a renowned international customer, Condé Nast, we’re building the tech behind the VETTE platform. I’m proud to lead the tech behind Condé Nast's VETTE as CTO at Co-Cart, following the acquisition of the technology I was leading the tech as CTO at Spotin.
• Co-Founder and CEO/CTPO - Softwarify (Jul 2025 - Present)
  • An AI-first platform for software development teams. Stealth mode - more information will be published later.
• Industrial Postdoctoral Fellow in ML-Based Optimization - KTH in collaboration with AstraZeneca (Mar 2024 - Jul 2025)
  • My research focuses on various aspects of industrial semi-automated digital twinning, ML-driven optimization, computer vision and predictive maintenance [Project Homepage]
• Chief Technology Officer (CTO) - Spotin AB (Feb 2022 - Jan 2024)
  • Hands-on CTO role, oversaw the entire tech stack, and led teams towards re-architecting the entire solution and transformation towards scalable and robust microservice architecture and more efficient DevOps. In 2025, this technology was acquired by Condé Nast.
• Doctoral Researcher - Ericsson (May 2018 - Jan 2020)
  • Researched and patented methods for performance modeling and optimization in 5G Core systems. This was part of a 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]
  • "PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models" - IEEE Access, vol. 13, pp. 85390-85406, May 2025, doi: 10.1109/ACCESS.2025.3567702. Authors: Michel Gokan Khan, Renan Guarese, Fabian Johnson, Xi Vincent Wang, Anders Bergman, Benjamin Edvinsson, Mario Romero, Jeremy Vachier, and Jan Kronqvist. [Link] [Dataset in Github] [Dataset in IEEE DataPort] [Code] [Video Presentation]
  • "Fusing Model-based and Data-driven Prognostic Methods for Real-time Model Updating" - Mechanical Systems and Signal Processing, Aug. 2025. Authors: Tianzhi Li, Morteza Moradi, Michel Gokan Khan, Renan Guarese, Jan Kronqvist, Mario Romero, Ming Xiao, and Xi Vincent Wang. [Link].
  • "SocioBalance: A Network-Based Simulation Game to Rank Links' Impact Strength in a Complex Social System" - TBA, 2025. Authors: Arsineh Boodaghian Asl, Jayanth Raghothama, Michel Gokan Khan, Adam S. Darwich, Sebastiaan Meijer. [UNDER REVIEW]
• 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]
  • "A Scoping Review and Project Proposal for Immersive Solutions towards Predictive Maintenance" - Accepted in Proc. The 4th International Workshop on eXtended Reality for Industrial and Occupational Supports, 2025. Authors: Renan Guarese, Michel Gokan Khan, David Lassiter, Jeremy Vachier, Fabian Johnson, Benjamin Edvinson, Anders Bergman, Xi Vincent Wang, and Mario Romero. [Link to IEEE Xplore comes here soon]
• 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. [Link]
  • "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

• Nominated for SPEC Kaivalya Dixit Distinguished Dissertation Award (2024)
• 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" - 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 Video]

Press Releases

• "Forskningspodden #112: Unchaining microservice chains - An interview with Michel Gokan Khan" - Karlstad University Research Podcast, February 2024. [Link]
• "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

My Teachings Experience (Courses and Lectures I Delivered)

• 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]
• A Crash Course on Object Oriented Programming in C# - Lecturing a Short Course at Karlstad Innovation Park in 2018 via The Great Journey.
• Advanced Courses on C and C++ - Robocup Soccer Simulation Competition Coach for Multiple High School-level Teams and Groups in Tehran, Iran During 2009 - 2012.

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 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
• GitHub Profile