Post Doctoral Researcher, University of Luxembourg, Luxembourg
Sri Kolla is an accomplished researcher and educator specializing in Manufacturing Engineering & Industry 4.0/5.0. With a diverse educational background and extensive experience in academia and industry, Sri has made significant contributions to the field of sustainable manufacturing and digital innovation.
Profile
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Education 🎓
Sri completed his Ph.D. in Manufacturing Engineering & Industry 4.0/5.0 from the University of Luxembourg in 2022. Prior to this, he earned a Master’s degree in Sustainable Manufacturing from the Norwegian University of Science & Technology and a Bachelor of Technology in Electrical & Electronics Engineering from Jawaharlal Nehru Technological University in India.
Experience 💼
With over 8 years of experience, Sri has held various roles in research, teaching, and advisory positions. He currently serves as a Manufacturing Advisor for Digital Innovation Hub at Luxinnovation, where he aligns European Commission priorities with Luxembourg’s Ministry of the Economy goals. Previously, he worked as a Postdoctoral Researcher and Doctoral Researcher at the University of Luxembourg, focusing on promoting digitalization and improving manufacturing productivity using Lean methodologies and Industry 4.0/5.0 technologies.
Research Interests 🔍
Sri’s research interests include Augmented Reality, Industrial Internet of Things, Data in Manufacturing, and Sustainable Manufacturing processes. He has published extensively on topics related to predictive maintenance, human-robot interaction, and the integration of Industry 4.0 technologies into manufacturing systems.
Awards 🏆
Sri has received multiple awards for his exceptional teaching prowess, outstanding commitment, and best papers & oral presentations at international conferences. His dedication to education and research excellence has been recognized both within the academic community and by industry partners.
Publications Top Notes📚
Augmented reality for quality inspection, assembly and remote assistance in manufacturing – Procedia Computer Science, 2023
Enabling predictive maintenance in high-speed manufacturing machines through critical parameter identification with sensor data – SSRN, 2023
Mixed reality for Industry 4.0 in manufacturing systems – Handbook of Manufacturing Systems and Design, 2023
Interaction modalities for augmented reality applications in manufacturing – Advances in Transdisciplinary Engineering, 2023