جست‌وجوی استاد و پژوهشگر

Dominik Verenoمشاهده پروفایل

پژوهشگر

• Co-simulation
• Smart Grid
• Model-based Systems Engineering
• +۵ مورد دیگر

Dominik Vereno is a Researcher at the Information Technologies and Digitalisation Centre for Dependable Systems Engineering, specializing in co-simulation techniques and smart grid integration. His work directly contributes to UN Sustainable Development Goals through advancements in energy system reliability and cybersecurity. His research profile shows dominant expertise in Co-simulation (100%) and Smart Grid technologies (98%), with significant contributions to Model-based Systems Engineering (38%), Artificial Intelligence (38%), Quantum Power Flow (23%), and System of Systems (21%). This fingerprint reveals a strategic focus on solving interoperability challenges in complex energy infrastructures through architectural modeling and simulation frameworks. Recent publications (2024-2025) demonstrate a clear trajectory toward sector-coupled energy systems, with increasing emphasis on retrieval-augmented generation for transportation architectures and computational models for electric vehicle integration. The research consistently bridges automotive and power grid domains while addressing scalability in distributed energy resources. Scientific recognition includes: Best Paper Award (2024) Best Paper Candidate (May 4, 2024) As Co-Investigator in the Josef Ressel Centre for Dependable System-of-Systems Engineering (2020-2025), Vereno leads critical work on smart grid interoperability and co-simulation frameworks with an international research consortium. His grant portfolio demonstrates sustained funding in dependable systems engineering. He operates within a dense research network spanning co-simulation, smart grid cybersecurity, and low-temperature anergy systems, with active collaborations visible across European energy research initiatives and conference circuits.

• Machine Learning
• Data Science
• Intelligent Maintenance
• +۵ مورد دیگر

Dorian Achim Prill is a Researcher at the School of Information Technology and Systems Management, Salzburg University of Applied Sciences, specializing in digitization and digital transformation within Industry 4.0 contexts. He serves as Deputy Project Manager for DIH-West-Neu (2024-2028) and contributes to multiple funded research initiatives including Retailization 4.0 and RetailLab4.0, focusing on practical implementations of digital technologies in production and retail environments. His research integrates Machine Learning and Data Science with industrial maintenance systems, developing intelligent frameworks for predictive maintenance scheduling and service choreography. Key interests include Publish-subscribe architectures, Learning Systems for production optimization, and Planning Frameworks that bridge theoretical models with real-world manufacturing applications. His work emphasizes data-driven process monitoring and cloud-based intelligence for industrial IoT ecosystems. Recent publications demonstrate a clear trajectory toward applied machine learning in maintenance engineering, with increasing focus on smart factory implementations and service-oriented architectures. The research consistently connects broad computer science principles with specific industrial subfields like friction coefficient measurement for vehicle safety and retail digitalization. Prill actively participates in externally funded projects totaling 11 initiatives since 2017, securing grants for Digital Innovation Hubs and living labs. His collaborative approach involves interdisciplinary teams across academia and industry, particularly evident in RetailLab4.0's living lab environment and FriCamMod's vehicle safety research. He has shared expertise through invited lectures on data-driven maintenance planning and marine maintenance intelligence. He operates within dynamic project teams including RetailLab4.0's retail digitalization consortium and FriCamMod's vehicle safety collaboration, working closely with principal investigators like S. Kranzer and R. Zniva. Current projects emphasize scalable digital transformation frameworks for both manufacturing and retail sectors through the DIH-West-Neu initiative.