Prasad Talasila

Aarhus University

Papers

4

Total Citations

69

H-Index

4

About

Prasad Talasila is a leading researcher at the forefront of the fourth industrial revolution, specializing in Digital Twin (DT) technology, model-based design, and industrial digitalization. His work addresses the critical challenge of creating intelligent, self-optimizing systems that can diagnose and configure themselves without human intervention. Talasila’s most influential contribution, his 2022 paper on industrial digitalization, has garnered 54 citations and provides a foundational framework for classifying, reusing, and authoring digital models on DT platforms. He has further advanced the field by systematically comparing major co-simulation platforms like HUBCAP and DIGITBrain, offering essential guidance for practitioners. In his recent 2024 work, Talasila tackles the pressing issue of uncertainty in autonomous robotics, introducing a novel Digital Twin as a service approach for runtime verification of mobile robots. With a growing body of work that bridges theoretical frameworks and practical platform evaluation, Talasila is shaping how industries design, compose, and trust digital twins for the factories of the future.

Research Focus

Key Achievements

4
H-Index
4
Papers
69
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms
54 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Aarhus University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago