
Soujanya has a PhD in the industrial engineering and information systems areas with her thesis titled Enabling the Smart Factory with Industrial Internet of Things-connected MES/MOM. She worked primarily with LEGO and Danfoss as case companies for her PhD. Her research involves applying Industry 4.0 principles to factory operations and supply chain problems.
Soujanya received a bachelor’s degree (distinction) in mechanical engineering from JNTU Hyderabad, India, in 2011 and an M.S. (Eng.) degree from the KTH Royal Institute of Technology, Stockholm, in 2015.
Work experience:
2018–21: Research assistant/PhD Fellow, Manufacturing Academy of Denmark (Aalborg University, Denmark)
2015–18: Research analyst, Mordor Intelligence - Startup (Hyderabad, India)
2014–15: Trainee, Paul Scherrer Institut - ETH Domain (Zurich region, Switzerland)
2014: Master thesis intern, Alstom corporate headquarters (Paris, France)
2011–12: Technical center engineer, Amada Co (Bangalore, India)
Research interests: Digitalization, MES/MOM, IIoT, Reconfigurable supply chains, Enterprise system architectures, Systems analysis and design, Data infrastructures
Research methods: Case studies, Interviews, Design science, Requirements analysis, Quality function deployment, Design demonstrators, Unified modeling language, Qualitative and abductive approaches
Selected Publications:
- Mantravadi, S., Møller, C., LI, C., & Schnyder, R. (2022). Design choices for next-generation IIoT-connected MES/MOM: An empirical study on smart factories. Robotics and Computer-Integrated Manufacturing. https://doi.org/10.1016/j.rcim.2021.102225
- Mantravadi, S., Srai, J. S., Brunø, T. D., & Møller, C. (2020). Exploring Reconfigurability in Manufacturing through IIoT Connected MES/MOM. In IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). https://doi.org/10.1109/IEEM45057.2020.9309989
- Mantravadi, S., Schnyder, R., Møller, C., & Brunø, T. D. (2020). Securing IT/OT Links for Low Power IIoT Devices: Design considerations for industry 4.0. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3035963
- Mantravadi, S., & Møller, C. (2019). An Overview of Next-generation Manufacturing Execution Systems: How important is MES for Industry 4.0? Elsevier. Procedia Manufacturing https://doi.org/10.1016/j.promfg.2019.02.083
Full list in Google Scholar

- Institute for Manufacturing
- 17 Charles Babbage Road
- Cambridge CB3 0FS
Research
- Artificial Intelligence
- Asset Management
- Business Model Innovation
- Computer Aided Manufacturing
- Decision-Making for Emerging Technologies
- Design Management
- Digital Manufacturing
- Distributed Information & Automation Laboratory
- Fluids in Advanced Manufacturing
- Healthcare
- Industrial Photonics
- Industrial Resilience
- Industrial Sustainability
- Inkjet Research
- Innovation and Intellectual Property
- International Manufacturing
- Manufacturing Industry Education Research
- NanoManufacturing
- Science, Technology & Innovation Policy
- Strategy and Performance
- Technology Enterprise
- Technology Management
- Service Alliance
- University Commercialisation and Innovation Policy Evidence Unit