A5015133276- Flexible and Reconfigurable Manufacturing Systems
- Fault Detection and Control Systems
- Time Series Analysis and Forecasting
- Logic, Reasoning, and Knowledge
- Petri Nets in System Modeling
- Digital Transformation in Industry
- Software Reliability and Analysis Research
- Product Development and Customization
- Data Management and Algorithms
- Modular Robots and Swarm Intelligence
- Adversarial Robustness in Machine Learning
- Radiation Effects in Electronics
- Advanced Software Engineering Methodologies
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Multi-Agent Systems and Negotiation
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Database Systems and Queries
- Scheduling and Optimization Algorithms
- Microbial Metabolic Engineering and Bioproduction
- Safety Systems Engineering in Autonomy
- Real-Time Systems Scheduling
- Software Testing and Debugging Techniques
Universidade Nova de Lisboa
2010-2022
Public and Science
2017
KTH Royal Institute of Technology
2011
Deep neural network-based methods have recently enjoyed great popularity due to their effectiveness in solving difficult tasks. Requiring minimal human effort, they turned into an almost ubiquitous solution multiple domains. However, the size and complexity of typical network models' architectures, as well sub-symbolical nature representations generated by neuronal activations, networks are essentially opaque, making it nearly impossible explain humans reasoning behind decisions. We address...
There has been an increasing interest from industry in distributed architectures since they promote a plug-and-produce and robust environment, where adaptability fault tolerance are native. Much research conducted this field mainly supported by multi-agent service oriented technologies. Nevertheless the retrieval visualization of information systems is relatively unexplored area. Although dynamic nature allows gathering prompt manner, doing so might affect performance mechatronic agents. In...
Natural systems often exhibit, at a macro level, tendency to order that emerges from simple and local interactions between the system components. This idea whole can denote consistent behavior is more than sum of individual components has inspired design development many artificial systems. Recently, with pervasiveness IT in automation domain application such principles became interesting as mean developed seamlessly plug gable, robust fault-tolerant mechatronic These concepts, however, have...
The current main challenge for the future production system lies in correct integration of issues related to sustainability and agility. "Evolvable Paradigm" addresses this concern with a new way engineering whole system. concept Skill is declined as common denominator between definitions manufacturing process equipment. Each module holds some skills that compose definition it endowed necessary intelligence come together other modules an organized society. This work introduces approach...