SCI award for Siavash Khajavi’s doctoral dissertation
Siavash Khajavi’s doctoral dissertation “Improving additive manufacturing enabled operations – A forward-looking empirical study” won the Aalto University School of Science dissertation award in 2018. The interdisciplinary thesis was conducted at the Department of Industrial Engineering and Management, and supervised by Professor Jan Holmström, while the thesis advisor was Professor Jouni Partanen, from the Department of Mechanical Engineering.
The dissertation has particular scientific merits, as it contributes to the literature on additive manufacturing as part of the digitalization of industrial operations. Moreover, it contributes to the international business literature on harnessing technology to support business operations in different contexts. All articles in the thesis have been published in recognized international scientific journals of high standards.
The work has great practical relevance because how digital operations of manufacturing firms are managed, is increasingly important for survival and growth in global markets.
Prof. Christopher Tuck, University of Nottingham, UK, and Prof. Juha-Matti Lehtonen, National Defence University, Finland acted as the opponents in the public examination of the thesis.
More information:
Dr. Siavash Khajavi
Postdoctoral Researcher
Read more news
Nanoparticles in Functional Textiles
Dr. Md. Reazuddin Repon, Postdoctoral Researcher at the Textile Chemistry Group, Department of Bioproducts and Biosystems, Aalto University, has contributed as an editor to a newly published academic volume titled “Nanoparticles Integrated Functional Textiles”.
Introducing Qi Chen: Trustworthy AI requires algorithms that can handle unexpected situations
AI developers must focus on safer and fairer AI methods, as the trust and equality of societies are at stake, says new ELLIS Institute Finland principal investigator Qi Chen
The research puzzle of when humans and AI don’t see eye to eye
Francesco Croce works on robustness in multi-modal foundation models