Affiliated college: Lucy Cavendish College

Soujanya has a PhD in the industrial engineering and information systems with her thesis titled Enabling the Smart Factory with Industrial Internet of Things-connected MES/MOM. She worked closely with industry leaders such as LEGO, Arla and Danfoss and applied Industry 4.0 principles to factory operations and supply chain problems. Her research involves implementing industrial systems drawing from stakeholder inputs to utilize modern artificial intelligence solutions and the internet of things. Her current work centers on food supply chains and digital interventions for public and planetary health in a transdisciplinary setting. She is also involved in teaching activities at Cambridge Judge Business School and IfM’s industry training programs.

Soujanya is an elected committee member of Postdocs of Cambridge Society, which represents over 4000 postdocs at the University. She serves on the University’s Employer Justified Retirement Age and Retirement Policy Working Group.

She 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. Before PhD, she had about five years of international work experience in industry and consulting.

Work experience:

2018–21: Research assistant/PhD Fellow, Manufacturing Academy of Denmark (Aalborg University)

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, Supply chains analysis, Industrial IoT, MES/MOM, Enterprise systems engineering, ISA 95 standardization, Systems analysis and design, Data infrastructures, Commercial food systems

Research methods: Design science, Experiments, Requirements analysis, Quality function deployment, Design demonstrators, Unified modeling language, Intervention design and analysis, Mixed-methods, Case studies, Interviews, Qualitative and abductive approaches

Selected publications:

• Mantravadi, S., & Srai, J. S. (2023). How Important are Digital Technologies for Urban Food Security? A Framework for Supply Chain Integration using IoT. Procedia Computer Science, 217, 1678-1687.
• Mantravadi, S., Srai, J. S., & Møller, C. (2023). Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis. Computers in Industry
• 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.
• 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.

Full and up to date list in Google Scholar