A5074585350- Multi-Agent Systems and Negotiation
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Context-Aware Activity Recognition Systems
- Smart Grid Energy Management
- IoT and Edge/Fog Computing
- Simulation Techniques and Applications
- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Machine Learning and Data Classification
- Mobile Agent-Based Network Management
- Auction Theory and Applications
- Modular Robots and Swarm Intelligence
- Maritime Ports and Logistics
- Scheduling and Optimization Algorithms
- Evolutionary Game Theory and Cooperation
- Advanced Software Engineering Methodologies
- Logic, Reasoning, and Knowledge
- Mobile Crowdsensing and Crowdsourcing
- Neural Networks and Applications
- Opinion Dynamics and Social Influence
- Data Stream Mining Techniques
- Complex Systems and Decision Making
- Machine Learning and Algorithms
Malmö University
2016-2025
Lund University
1993-2022
TransportForsK
2016-2022
K2
2020
Spring Techno (Germany)
2016
Sumy State University
2015
Blekinge Institute of Technology
2004-2013
University of Antwerp
2004
Smart homes have become increasingly popular for IoT products and services with a lot of promises improving the quality life individuals. Nevertheless, heterogeneous, dynamic, Internet-connected nature this environment adds new concerns as private data becomes accessible, often without householders' awareness. This accessibility alongside rising risks security privacy breaches, makes smart home critical topic that deserves scrutiny. In paper, we present an overview challenges directed...
Abstract The international community has largely recognized that the Earth’s climate is changing. Mitigating its global effects requires actions. European Union (EU) leading several initiatives focused on reducing problems. Specifically, Climate Action tries to both decrease EU greenhouse gas emissions and improve energy efficiency by amount of primary consumed, it pointed development efficient building management systems as key. In traditional buildings, households are responsible for...
The domain of smart home environments is viewed as a key element the future Internet, and many homes are becoming "smarter" by using Internet Things (IoT) technology to improve security, energy efficiency comfort. At same time, enforcing privacy in IoT has been identified one main barriers for realizing vision home. Based on results risk analysis automation system developed collaboration with leading industrial actors, we outline first steps towards general model security homes. As such, it...
We investigate the opportunities and challenges of forth wave digitalization, also referred to as Internet Things (IoT), with respect public transport how it can support sustainable development society. Environmental, economical, social perspectives are considered through analysis existing literature explorative studies. conclude that there great for both operators planners, well travelers. describe analyze a number concrete each these actors. However, in order realize opportunities, needs...
In rural areas with low demand, demand responsive transport (DRT) can provide an alternative to the regular public bus lines, which are expensive operate in such conditions. With simulation, we explore potential effects of introducing a DRT service that replaces existing lines Lolland municipality Denmark, assuming remains unchanged. We set up way its quality (in terms waiting time and in-vehicle time) is comparable replaced buses. The results show be more cost efficient than buses produce...
Abstract The objective of this study is to provide a better understanding the potential using Artificial Intelligence (AI) improve Public Transport (PT), by reviewing research literature. selection process resulted in 87 scientific publications constituting sample how AI has been applied PT. review shows that primary aims are service quality or understand traveller behaviour. Train and bus dominant modes transport investigated. Furthermore, mainly used for three tasks; most frequent one...
This paper describes a multiagent system that has made the voyage from research project to commercialised product. The purpose for is dynamically control so load of below certain threshold values without reduction quality service and by that, avoid usage top production sources reduce energy consumption. fundamental idea behind large number small local decisions taken all in have great impact on overall performance. A field-test as well return investment analysis are presented.
During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How people which should be tested? Although are good models from e.g. epidemiologists on spread of virus under certain conditions, these not directly translate into interventions that can taken by government. Neither contribute understand economic and/or social consequences interventions. However, effective...
The Internet of Things (IoT) has a great potential to change our lives. Billions heterogeneous, distributed, intelligent, and sometimes mobile devices, will be connected offer new types applications ways interact. dynamic environment the IoT, involvement human in loop, runtime interactions among devices applications, put additional requirements on systems' architecture. In this paper, we use Emergent Configurations (ECs) concept as way engineer IoT systems propose an architecture for ECs....
The deployment of Internet Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support analysis qualities that are relevant IoT architects who designing an system. We first identify metrics can evaluated through simulation. Then, study available in order assess which identified they support. results show...
The rapidly evolving Internet of Things (IoT) includes applications which might generate a huge amount data, this requires appropriate platforms and support methods. Cloud computing offers attractive computational storage solutions to cope with these issues. However, sending centralized servers all the data generated at edge network causes latency, energy consumption, high bandwidth demand. Performing some computations network, known as Edge computing, using hybrid Edge-Cloud architecture...