Papers
1
Total Citations
8
H-Index
1
About
Sever Pasca is a prominent researcher in the field of industrial informatics, with a specific focus on the integration of artificial intelligence within the Industrial Internet of Things (IIoT). His work centers on developing data fusion-based AI algorithms that enhance the efficiency, security, and intelligence of interconnected industrial systems. His most-cited paper, "Data Fusion-Based AI Algorithms in the Context of IIoTS" (2019, 8 citations), lays foundational groundwork for combining heterogeneous sensor data with machine learning to optimize real-time decision-making in smart manufacturing environments. This contribution is critical for advancing autonomous industrial operations and predictive maintenance. Pasca’s research has direct implications for improving system resilience and data interoperability in complex industrial networks. His achievements include pioneering approaches to merging AI with IIoT architectures, which have been recognized by peers and practitioners alike. For students and researchers exploring the intersection of AI and industrial automation, Pasca’s work offers a clear pathway into the challenges and innovations driving the next generation of cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Data Fusion-Based AI Algorithms in the Context of IIoTS8 citations · 2019