Special Sessions
List Of
Special
Sessions
DETAILED DESCRIPTION:
SS1 – Cyber-Physical Systems and Predictive Maintenance for Enhanced Reliability and Availability in Industry 4.0
The development of Industry 4.0 has brought a paradigm change in the industry’s approach to production and maintenance. This new era leverages cutting-edge technologies such as cyber-physical systems (CPS), the Industrial Internet of Things (IIoT) and advanced data analytics to create highly responsive and efficient industrial environments. The focus is on achieving higher levels of system reliability and availability through predictive maintenance and real-time decision making.
Cyber-physical systems (CPS) play a key role in this transformation by integrating computational capabilities with physical processes to enable intelligent monitoring, control and automation of industrial operations. These systems can simulate working conditions in real time, providing valuable insights that improve production efficiency and decision-making. As a result, CPS is becoming a cornerstone in the evolution towards smart factories and intelligent production environments.
Predictive maintenance complements this approach by moving from traditional, reactive maintenance strategies to more proactive ones. By harnessing the power of big data, machine learning and artificial intelligence, predictive maintenance enables early detection of potential equipment failures, preventing costly downtime and extending the life of machinery. This change not only reduces maintenance costs, but also significantly improves overall system reliability and availability. costs, but also significantly improves overall system reliability and availability.
This special session aims to provide a platform for thought leaders, researchers, and industry practitioners to share their latest findings, innovations, and experiences. The session will cover a wide range of topics that are integral to the successful implementation of Industry 4.0 technologies, fostering an environment of collaborative learning and knowledge exchange.
Topics of interest include but are not limited to the following:
- Smart manufacturing and maintenance
- Smart factories and Industrial Internet of Things (IIoT)
- Robotics and mechatronic systems
- Mechatronics systems design
- Mechanical systems design and analysis
- Digital twins
- Multi-Agent Systems (MAS)
- Automation measuring systems and sensors
- Human-Machine Interaction and Machine-to-Machine Communication (M2M)
- Learning control and cognitive computing
- Reliability and risk assessment
- Cybersecurity applications in industrial systems
- Simulation and modeling of production systems
- Artificial intelligence in decision support systems
- Intelligent systems for predictive maintenance
Attendees will benefit from insightful presentations and discussions exploring the latest advances in CPS and predictive maintenance. They will have the opportunity to network with peers, explore innovative solutions and gain a deeper understanding of how these technologies can improve reliability and availability in the context of Industry 4.0. This session will stimulate new ideas, collaborate and advance the industrial sector.
Organizer:
Katarzyna Antosz: Rzeszow University of Technology, PL
katarzyna.antosz@prz.edu.pl
Erika Ottaviano: University of Cassino and Southern Lazio, IT,
ottaviano@unicas.it
Pierluigi Rea: University of Cagliari, IT,
pierluigi.rea@unica.it
Arkadiusz Gola, Lublin University of Technology, Poland,
a.gola@pollub.pl
Alejandro Pereira: University of Vigo Spain, ES,
apereira@uvigo.es
DETAILED DESCRIPTION:
SS2 – Collaborative Engineering for a Sustainable Development in the Digitalization Era
Nowadays, collaborative engineering approaches, tools and practices are of upmost importance for reaching a sustainable development in the current digitalization era. Thus, the development of Manufacturing, Management, and Maintenance Models, Methods, systems and platforms oriented to a collaborative and sustainable Industry 4.0 (or I4.0 for short) is a challenging outcome. This special session aims at contributing with new insights regarding manufacturing, management and/ or maintenance paradigms (strategies), methods, tools, and practices aligned with the nowadays necessity to create and implement collaborative and sustainable I4.0 manufacturing systems.
Therefore, contributions are encouraged in manufacturing, management and/ or maintenance to reach collaboration and sustainability purposes in I4.0 oriented manufacturing systems. The authors should consider in their original contributions, the clear identification of the collaboration and/or the sustainability and the I4.0 domain, the clear description of the proposed paradigm, method, tool, and/ or practices approached, and its validation in the scope of at least one of the three main domains considered in this special sessions (collaboration, sustainability and industry 4.0) for at least one of the scientific areas underlying this special session (manufacturing, management, and maintenance).
Regarding this structure for the authors’ contributions, are expected new theoretical and practical insights for the stakeholders involved in the I4.0 design, management and/ or implementation of collaborative and/or sustainable manufacturing systems.
Topics of interest include but are not limited to the following:
- Circular economy, economic, environmental, and/ or social sustainability
- Collaborative engineering: manufacturing, management and/ or maintenance:
- paradigms: dynamic, integrated, distributed, intelligent, predictive, parallel and real time based management,
- methods,
- tools,
- practices,
- operations,
- critical success factors,
- metatheory,
- organizational change and transformation,
- learning organization,
- Industry 4.0 pillars:
- Cyber Physical Systems,
- Artificial Intelligence,
- Big data analytics,
- Supply chain management,
- Horizontal and vertical integration,
- Cybersecurity,
- New business models,
- Open Design,
- Cloud manufacturing,
- Additive manufacturing,
- Autonomous and Collaborative Robots,
- Simulation and augmented reality.
Organizer:
Leonilde Varela, University of Minho, PT
leonilde@dps.uminho.pt
Goran Putnik, University of Minho, PT
putnikgd@dps.uminho.pt
Fernando Romero, University of Minho, PT
fromero@dps.uminho.pt
Justyna Trojanowska, Poznan University of Technology, PL
justyna.trojanowska@put.poznan.pl
Vaibhav Shah, University of Minho, PT
shah@dsi.uminho.pt
Vijaya Kumar Manupati, NITIE Mumbai, IN
manupativijay@nitie.ac.in
DETAILED DESCRIPTION:
SS3 – Innovations in Control, Automation and Robotics
This special session addresses all aspects of control, automation and robotics related to designing safe, reliable and efficient engineering applications. Researchers and students from academia as well as industry experts are invited to share their latest findings, best practices, experiences and visions related to these important fields of engineering.
Topics of interest include but are not limited to the following:
- Modern Control Approaches,
- Modelling and Simulation for Control,
- Case Studies of Control and Automation,
- Robotics Applications,
- Software Tools for Control Systems Design, Automation and Robotics,
- New Trends in Engineering Education related to Control, Automation and Robotics.
Organizer:
Frantisek Gazdoš, Tomas Bata University in Zlín, Faculty of Applied Informatics, CZ
gazdos@utb.cz
Jiří Vojtěšek, Tomas Bata University in Zlín, Faculty of Applied Informatics, CZ
vojtesek@utb.cz
DETAILED DESCRIPTION:
SS4 – Data driven manufacturing for sustainability and circular economy
In the present industry scenario, many service and manufacturing organizations have explored and adopted the emerging digital technologies of fourth industrial revolution for sustainable intelligent manufacturing i.e., artificial intelligence (AI), additive manufacturing (AM), Internet of Things (IoT), big data analytics (BDA), robotics, cloud computing, AR and VR technologies. The IoT is using in many organizations and in supply chain practices for process monitoring and track the warehouse and logistic operations. The use of big data is to analyze the large volume of data generated from the different IoT devices and other sources in the industry. However, AI based approaches helps to provide the preventive and predictive maintenance operations through the data analysis and various intelligent learning algorithms. Other, digital technologies of Industry 4.0 are means to improve the efficiency, productivity and labour productivity. Also, these technologies helps to improve the sustainability performance of manufacturing systems and supply chain practices.
Despite of their promising benefits to organizations many industries are still facing an difficulty in the adoption of these digital technologies which can contribute towards the sustainability goals and improve the sustainability performance. It is true that technology innovation is not alone sufficient to achieve sustainability in manufacturing. As, sustainability is a journey of continuous improvement. To achieve sustainability manufacturing organizations need new business models, maturity models, reconfigurable manufacturing systems and supply chain for the new business transition. The current literature available on this topic and application in the industries are still limited with the practical validation. This special session aims to call for original and novel research contribution on the data driven manufacturing for the sustainability and circular economy form both managerial and technological perspective. This show the potential of these technologies to achieve sustainability in the business models.
In this special session relevant topics are include but are not limited to:
- Role of digitalization for circular economy
- Relationship and effect of digitalization on sustainability performance
- New data driven models for circular economy and sustainable manufacturing
- Maturity models for supply chain sustainability through digitalization
- Design, modelling and simulation of reconfigurable supply chain models
- Enablers and challenges for the data driven manufacturing for circular economy and sustainability
- Implications for sustainability with different supply chain models
- Life cycle analysis for manufacturing practices in Industry 4.0
- Manufacturing system optimization
Organizer:
Dr. Rajeev Agrawal
Associate Professor, Department of Mechanical Engineering
Malaviya National Institute of Technology Jaipur (India)-302017
ragrawal.mech@mnit.ac.in
DETAILED DESCRIPTION:
SS5 – Engineering Applications for Medical and Healthcare Devices – ENGCARE 2024
Technologies and applications for medical and healthcare devices are part of the actual human daily life and with an increasing demand. Nowadays, we are able to find them practically everywhere, apart from the healthcare units, as integrated, among others, in our homes, body, mobile devices and vehicles, with the objective of improving our safety, comfort, performance and quality of life. We invite researchers, academics, and professionals to submit either original research (work in progress or developed) as well as review articles that will contribute to the dissemination of Engineering Applications for Medical and Healthcare Devices.
Topics of interest include but are not limited to the following:
- Medical devices for monitoring, diagnosis, and therapy,
- Biomedical sensors,
- Healthcare sensors,
- Mobile healthcare,
- Home healthcare,
- Wearable healthcare,
- In-car healthcare,
- Artificial intelligence in medical devices and systems,
- Ambient assistive living,
- Tele-healthcare,
- Serious games for healthcare and medical training,
- Medical robotics,
- Inclusive technology,
- Medical devices design,
- Safety and usability in medical devices,
- AR, VR or MR in healthcare and medical devices,
- Emerging Technologies in medical devices and systems.
Organizer:
Vítor Carvalho, 2Ai-EST,IPCA & Algoritmi RD- Minho University, PT
vcarvalho@ipca.pt
Filomena Soares, Algoritmi RD- Minho University, PT
fsoares@dei.uminho.pt
Demétrio Matos, iD+-IPCA, PT
dmatos@ipca.pt
DETAILED DESCRIPTION:
SS6 – Industry 4.0 – The Industry Digitalization
Organizers of this special session invite researchers to contribute with original research articles as well as surveys and case studies articles in the field of Industry 4.0 and research areas that contributes for the Industry Digitalization. This special session seeks to bring together novel contributions from researchers and practitioners involving the following six pillars of smart manufacturing: manufacturing technology and processes, materials, data, predictive maintenance, sustainability and resource sharing and networking. It provides a forum for researchers and practitioners to review and disseminate quality research work, and to identify critical issues for further development on all aspects of smart manufacturing, smart production fundamental to boosting the industrial digitalization process.
Topics of interest include but are not limited to the following:
- Additive manufacturing and new hybrid processes,
- Advanced mechatronics devices,
- Automation and Robotics,
- Case studies and testbeds on Smart Manufacturing,
- Cyber physical systems,
- Developments in Intelligent Manufacturing Systems,
- Industrial communication protocols,
- Mechatronics sensing and control,
- Modelling and simulation for Smart Manufacturing,
- Smart actuators and materials,
- Smart material handling and transportation vehicles,
- Sustainable materials, products and processes,
- IoT and IIoT,
- 5G in Industry,
- Big Data, Machine Learning and Deep Learning,
- Industrial Vision Systems,
- Vision Guided Robotics,
- Refurbishment and re-manufacturing of machinery,
- Edge, fog, and cloud computing,
- Health monitoring, failure inspection, and diagnosis of machinery,
- Digital Twins.
Organizer:
Pedro Torres, Instituto Politécnico de Castelo Branco, PT
pedrotorres@ipcb.pt
Nuno Fernandes, Instituto Politécnico de Castelo Branco, PT
nogf@ipcb.pt
Rogério Dionísio, Instituto Politécnico de Castelo Branco, PT
rdionisio@ipcb.pt
DETAILED DESCRIPTION:
SS7 – Statistical and critical thinking impact on decision making under uncertainty
In its 2010 report, UNESCO stated that “it is vital that we take the full measure of engineering’s capacity to make a difference in the developing world.”. Following this idea, and knowing that the role of engineering in society has become increasingly prominent, is expected to attract more students and more professionals into engineering. This evidence somewhat presents an additional challenge for engineering educators, in particular fields of science and technology, besides the growing demand for engineering graduates with a mix of technical and professional skills as soft skills. This trend is highlighted in the UNESCO’2021 report reinforcing the idea of how important engineering is for sustainable development and the role that engineers in “addressing basic human needs”. Additionally to that, we find ourselves immersed in a vast sea of data. By harnessing the power of statistical tools, we are able to extract meaningful insights that serve as a solid foundation for informed decision-making. Also, it would be interesting to discuss how to manage uncertainty in AI-enabled decision-making applications, In this context, this special session is designed in such a way to allow engineers, engineering educators, scientists from both universities and industry to share, present and discuss ideas, experiences, projects, results, and practical insights. This special session aims to contribute to the discussion of how to change statistical and critical thinking on decision-making under uncertainty. Also, critical thinking and the adoption of active learning approaches, which instigate the development of such a way of thinking, are more and more used in STEM education. So, it is important to hear both parties, academia, and industry, as a step forward bridging the gap between these two counterparts.
Topics of interest include but are not limited to the following:
- Industrial Engineering,
- Business Management & Finance,
- Communicating & Teaching Statistics,
- Environmental & Temporal and Spatial Statistics,
- Data Science,
- Medical Statistics,
- Social & Psychology Statistics,
- Engineering Statistics,
- AI-enabled decision making.
Organizer:
A. Manuela Gonçalves – Centre of Mathematics (CMAT), School of Sciences, University of Minho, PT
mneves@math.uminho.pt
Celina P. Leão – Centro ALGORITMI, School of Engineering, University of Minho, PT
cpl@dps.uminho.pt
M. Teresa Malheiro – Centre of Mathematics (CMAT), School of Sciences, University of Minho, PT
mtm@math.uminho.pt
DETAILED DESCRIPTION:
SS8 – Decision Making and Optimization
This session aims to explore the application of optimization techniques in an industrial context, focusing on the creation of added value for the economy and society while considering principles of human wellbeing, environment, and sustainability.
The following topics reflect the diverse range of applications and research areas within the field of optimization and its relevance to industrial organization and engineering improvements. The conference encourages submissions and presentations that contribute to advancing knowledge, methodologies, and practical applications in these domains.
Topics of interest include but are not limited to the following:
- Optimization methods
- Decision theory
- Stochastic models
- Simulation
- Combinatorial Optimization
- Cutting and Packing,
- Data mining
- Optimal control
- Transportation
- Multi-objective optimization
- Multi-criteria Decision Aid
- Scheduling
- Supply chain and logistics
- Entrepreneurship
- Continuous Improvement
Organizer:
Maria Teresa Pereira, Polytechnic Institute of Porto, PT
mtp@isep.ipp.pt
Fernanda A. Ferreira, UNIAG – Polytechnic Institute of Porto, PT
faf@esht.ipp.pt
Marisa Oliveira, Polytechnic Institute of Porto, PT
mjo@isep.ipp.pt
DETAILED DESCRIPTION:
SS9 – Artificial Intelligence, Cognitive Systems and the Learning Brain (AICSLB)
Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expectations, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI research, including a link from brain science to AI, and a connection from knowing the brain to simulating the brain.
The goal of the Session: To strengthen scientific interdisciplinary relations and to facilitate exchange of experience between leading scientists and discussion on acute questions and promising directions in the area of artificial intelligence.
Topics include cognitive modeling (more broadly, cognitive sciences), artificial intelligence (more broadly, computer science), computational neuroscience (more broadly, brain sciences), language sciences, robotics, virtual reality, cybersecurity, quantum computer, mathematical models in economics, sociology, educational sciences, philosophy, art, management, industrial and military applications.
Although some might find the concept of AICSLBEd alienating, the algorithms and models that comprise AICSLBEd form the basis of an essentially human endeavour. AICSLBEd offers the possibility of learning that is more personalised, flexible, inclusive, and engaging. It can provide teachers and learners with the tools that allow us to respond not only to what is being learnt, but also to how it is being learnt, and how the student feels.
Topics of interest include but are not limited to the following:
- Human-Centered AI: Context plays a critical role in enabling AI systems to interact with humans and other agents in a natural and appropriate manner.
- Human-Computer Interaction: The incorporation of context is critical to enhance user experience in AI systems. How can we design AI systems that effectively leverage contextual information to improve the overall user experience?!
- Ethical and Responsible AI: Context is critical for addressing ethical considerations in AI, including issues of privacy, bias, and fairness.
- Explainable AI: Contextualizing explanations is essential to understanding how and why AI systems work, evaluating their effectiveness and efficiency, and helping users achieve their goals.
- Machine Learning and Knowledge Representation: Contextual information must often be inferred from data, thus requiring machine learning approaches for dynamic adaptation of context models and methods for reasoning with uncertainty.
- Ambient Intelligent Systems: AmI systems are characterized by embedded, context-aware, context-sensitive, personalized, adaptive, anticipatory, and socially intelligent technologies.
- Natural Language Processing: Context is vital for natural language processing, improving accuracy and effectiveness in understanding and generating natural language.
As an interdisciplinary topic, contextual AI has clear relations to linguistics and semiotics, cognitive science and psychology, mathematics and philosophy, as well as sociology and anthropology. The MRC workshop series is highly interactive and offers a platform for researchers and practitioners from different disciplines to exchange ideas and discuss the latest advancements in contextual AI. As context research is inherently transdisciplinary, we encourage a range of publication formats that may not be commonly seen in the AI community, including narrative reviews, ethnographic stories, and artistic creations, reflecting the diverse perspectives and approaches needed to fully understand the complexities of context.
Organizer:
Olena Hrybiuk, Associate Professor, Leading Researcher, International Scientific and Technical University, Institute for Digitalisation of Education of the NAES of Ukraine
olenagrybyuk@gmail.com
Kamil Filipek, Centre for Artificial Intelligence and Computer Modelling, Marii Curie Skłodowska University in Lublin
Shashi Kant Gupta, Eudoxia Research University, New Castle, USA
Anna Pyzara, Faculty of Mathematics, Physics and Computer Science, Marii Curie Skłodowska University in Lublin
Eliza Jackowska-Boryc, Faculty of Mathematics, Physics and Computer Science, Marii Curie Skłodowska University in Lublin
DETAILED DESCRIPTION:
SS10 – Adoption and implementation of technologies for a green and digital transformation
The green and digital transition is one of the main priorities of the European Union and, thus, for almost all competitive companies. However, the knowledge regarding how this process should be conducted as complementary drivers for the traditional manufacturing industry is still very scarce. Technologies such as the Internet of Things, big data and analytics, robotics, augmented and virtual reality, and artificial intelligence, among others, are of great sustainability relevance and offer the potential to support the circular economy. However, implementing these technologies to support a circular economy offers several barriers, namely the different development stages among sectors, economic barriers, and lack of incentives to use secondary materials. Societal barriers also hinder the full implementation of a twin transition.
In this sense, creating awareness about the new digital and emerging technologies is necessary. Moreover, developing and proposing new methodologies and tools that support companies, mainly SMEs, is essential to understand better their current needs and requirements for emerging green and digital technologies implementation. Finally, it is recommended to define concrete, sustainable, and practical plans for the twin technology implementation, aiming to maximise the benefits and minimise risks.
This special session welcomes all researchers, academicians, practitioners, and students interested in any branch related to adopting and implementing technologies for green and digital transformation.
Topics of interest include but are not limited to the following:
- Technology and Innovation Management
- Socio-technical systems
- Human-machine collaboration
- Social Change / Social Impact
- Digitalization Adoption and implementation strategy
- Adoption decision process
- Drivers/barriers/challenges to adoption
- Adoption (in)success factors
- The digitalisation of networks of organisations
- Aligning Technology and organisations
- The interplay between regulation, innovation and adoption
- Education and Training in Industry 4.0
- New manufacturing paradigms
Organizer:
Ana Correia Simões – INESC TEC, Politécnico do Porto, PT
ana.c.simoes@inesctec.pt
António Almeida – INESC TEC, Politécnico do Porto, PT
antonio.h.almeida@inesctec.pt
DETAILED DESCRIPTION:
SS11 – Industry 5.0/Industry 4.0, Sustainability, Innovation and Continuous Improvement
This Special Session will be an opportunity for engineers from academia and industry share their main ideas about the topics relating with Industry 5.0/Industry 4.0, Sustainability, Innovation and Continuous Improvement, among others. This special session will be a multidisciplinary session and it will cover many aspects, namely relating to technological innovation, fostering and promoting the discussion related with the combination of human beings’ creativity and craftsmanship with the speed, productivity and consistency of robots and artificial intelligence (industry 5.0) allowing a more Sustainable, Innovative and Continuously Improving society . The session will thrive the different synergies between engineers from different business areas.
Topics of interest include but are not limited to the following:
- Accreditation of laboratories I4.0
- Circular Economy and Quality Innovation
- Circular Economy in Industry 4.0
- Continuous Improvement
- Corporate Social Responsibility & Environmental Management
- Digital Manufacturing Technologies
- EFQM – (European Foundation for Quality Management)
- Industry 5.0
- Internet of things
- Lean Green
- Lean Management
- Lean Management and Industry 4.0
- Lean Safety
- Lean Six Sigma
- Metrology
- QFD – Quality Function Development
- Quality and Sustainability in production and service
- Quality Assurance
- Quality integrated with others management Systems
- Quality Management
- Quality Tools
- Six Sigma in Industry 4.0
- Total Quality Management
Organizer:
José Carlos Sá, Polytechnic Institute of Porto, School of Engineering of Porto (ISEP), PT
cvs@isep.ipp.pt | carlos_sa@esce.ipvc.pt
Gilberto Santos, Polytechnic Institute of Cávado and Ave, PT
gsantos@ipca.pt
Luís Barreto, Polytechnic Institute of Viana do Castelo (IPVC), PT
lbarreto@esce.ipvc.pt
DETAILED DESCRIPTION:
SS12 – Machine Learning Algorithms & Applications for Engineering and Business
This session aims to bring together cutting-edge research on the latest advancements in machine learning algorithms, from researchers and practitioners in academia and industry. Their applications to real-world problems and their potential to revolutionise the user experience, particularly in the engineering and business domains, are especially encouraged.
Submission and presentation of papers is encouraged to provide an excellent international forum for sharing knowledge and in theory, methodology and applications of on Machine Learning & Applications. The following topics reflect some of the diversity of applications and research areas.
Topics of interest include but are not limited to the following:
- Artificial neural networks
- Bayesian networks
- Data Mining
- Decision-making by machine learning
- Deep neural networks
- Evaluation metrics for intelligent search
- Hybrid learning algorithms
- Integration of machine learning algorithms with other technological systems
- Intelligent virtual environments
- Learning and forecasting problems
- Learning methods and analysis
- Literature review of machine learning algorithms/applications
- Machine learning algorithms/applications
- Reinforcement learning
- Smart industries and cities
- Statistical learning
- Supervised machine learning
- Unsupervised machine learning
Organizer:
Fernanda A. Ferreira, UNIAG – Polytechnic Institute of Porto, PT
faf@esht.ipp.pt
Filipe R. Ramos, CEAUL, University of Lisbon, PT
frramos@ciencias.ulisboa.pt
Maria Teresa Pereira, Polytechnic Institute of Porto, PT
mtp@isep.ipp.pt
Marisa Oliveira, Polytechnic Institute of Porto, PT
mjo@isep.ipp.pt
DETAILED DESCRIPTION:
SS13 – Current and Future Trends in Logistics and Industrial Engineering
The digital transformation towards Industry 4.0 has become a necessity for businesses as it makes them more flexible, agile and responsive. Logistics and Industrial engineering is no exception, as it is constantly undergoing a significant transformation supported by revolutionary technologies that are fundamentally changing. In this SS you will present Current and future trends in logistics and industrial engineering. Researchers and students from academia as well as industry experts are invited to share their latest findings, best practices, experiences and visions related to these important fields of Logistics and Industrial engineering.
Topics of interest include but are not limited to the following:
- New trends in logistics and industrial engineering,
- Production, distribution and supply chain logistics,
- Simulation and modelling,
- Information logistics, e-commerce,
- Lean production system,
- Industry 4.0/5.0,
- Maintenance and reliability,
- Design and operation of production systems,
- Technological innovation and innovation management,
- Smart manufacturing process monitoring and control.
Organizer:
Jozef Husár, Technical University of Košice, SK
jozef.husar@tuke.sk
Piotr Trojanowski, West Pomeranian University of Technology in Szczecin, PL
piotr.trojanowski@zut.edu.pl
Martin Straka, Technical University of Košice, SK
martin.straka@tuke.sk
Peter Trebuňa, Technical University of Košice, SK
peter.trebuna@tuke.sk
DETAILED DESCRIPTION:
SS14 – Designing the Future: Sustainable Innovation and Engineering in a Well-Being Economy
At the crossroads of innovative technology and resource sustainability, this special session will address how Design aligns with Engineering and Innovation to drive globally competitive economies. This session will serve as a platform to discuss how cooperation networks and new business models, especially those that highlight endogenous resources, can be catalysts for economic and social development.
SS14 invites researchers, designers, engineers, and entrepreneurs to explore and share design strategies that promote innovation and engineering with a focus on a future where human well-being, environmental protection, and resource sustainability are pillars of a new economy.
This gathering is a unique opportunity to demonstrate advances in design and engineering, as well as to foster the creation of knowledge and business cooperation networks that involve all stakeholders. We seek contributions that illustrate the transformative power of Design when interconnected with technological innovation and engineering, shaping a sustainable and prosperous future for all.
Topics of interest include but are not limited to the following:
- Design and innovation as drivers for sustainable business models,
- Engineering and design applied to maximize well-being and minimize environmental impact,
- Cooperation and knowledge networks in design for a circular economy,
- New trends in design that promote sustainable technological innovation,
- Design initiatives that harness endogenous resources for competitive development,
- Design strategies for the integration of technological advances in sustainable solutions,
- Design, innovation, and engineering as foundations for creating added value for the economy and society,
- Design principles for the creation of networks of business cooperation and entrepreneurship.
Organizer:
Maria João Félix, Polytechnic Institute of Cávado and Ave, PT | University of Lisbon (School of Architecture), PT
mfelix@ipca.pt
Ricardo Simões, Polytechnic Institute of Cávado and Ave, PT
rsimoes@ipca.pt
Gilberto Santos, Polytechnic Institute of Cávado and Ave, PT
gsantos@ipca.pt