Special Sessions
List Of
Special
Sessions
DETAILED DESCRIPTION:
SS1 – Reliability, Maintenance and Control of Cyber-Physical Systems
Cyber-physical systems (CPS) have gained an increasing attention recently for their immense potential towards the next generation smart systems that integrate cyber technology into the physical processes. Therefore CPS involve computation, networking, and physical processes, merging theory of cybernetics, mechatronics, design and process science. CPS are linked to robotics, sensor networks with intelligent systems proper of computational intelligence leading the pathway.
This Special Session will be an opportunity for scientists, engineers from universities and industry to share, present and discuss new ideas, projects, researches results, models, experiences, future trends related to this topic.
Topics of interest include but are not limited to the following:
- Smart manufacturing and maintenance,
- Industrial Internet of Things (IIoT)
- Robotics mechatronics and automation,
- Mechatronics systems design,
- Mechanical systems design and analysis,
- Digital twins,
- Multi Agent Systems (MAS),
- Autonomous systems,
- Human-Machine Interaction and Machine to Machine Communication (M2M)
- Learning control and cognition,
- Artificial Intelligence and data mining
- Predictive maintenance;
- Reliability and risk assessment.
Organizer:
Katarzyna Antosz: Rzeszow University of Technology, PL
katarzyna.antosz@prz.edu.pl
Yi Ren: Beihang University, Beijing, CN
renyi@buaa.edu.cn
Dariusz Mazurkiewicz, Lublin University of Technology, PL
d.mazurkiewicz@pollub.pl
Erika Ottaviano: University of Cassino and Southern Lazio, IT,
ottaviano@unicas.it
Alejandro Pereira: University of Vigo ES,
apereira@uvigo.es
Pierluigi Rea: University of Cagliari, IT,
pierluigi.rea@unica.it
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:
- Economic, environmental, and/ or social sustainability
- Collaborative engineering: manufacturing, management and/ or maintenance:
- paradigms,
- methods,
- tools,
- practices
- operations
- critical success factors
- metatheory
- organizational change and transformation
- learning organization
- Circular economy
- Industry 4.0 pillars:
- Cyber Physical Systems
- Artificial Intelligence
- Big data analytics
- Supply chain management
- Horizontal and vertical integration
- Industrial Internet of Things
- 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
Eusébio Nunes, University of Minho, PT
enunes@dps.uminho.pt
Isabel Lopes, University of Minho, PT
ilopes@dps.uminho.pt
Sérgio Sousa, University of Minho, PT
sds@dps.uminho.pt
Vaibhav Shah, University of Minho, PT
shah@dsi.uminho.pt
Justyna Trojanowska, Poznan University of Technology, PL
justyna.trojanowska@put.poznan.pl
Vijaya Kumar Manupati, NIT Warangal, IN
manupati.vijay@nitw.ac.in
DETAILED DESCRIPTION:
SS3 – Adoption and implementation of technologies for digital transformation
The digital transformation is a current priority of almost all competitive companies on seeking to identify new opportunities to diversify markets and increase revenues. By adopting new technologies, companies seek to transform operations throughout the value chain, increasing efficiency, flexibility and reliability to make them more sustainable and agile. The digitalization of business and production processes is critical as it enables better communication and cooperation throughout the value chain.
However, different companies may have different needs in terms of technologies implementation. Thus, understand the scope and potential of digital technologies in the context of their application and use in specific businesses and industries is a remarkable task. Furthermore, the success of technology adoption, i.e., the success of the implementation of digital technologies and the development of new ideas to apply such technologies, is a serious organizational challenge, and affects countries’ economies in different ways.
In this sense, it is necessary to create awareness about the new digital and emerging technologies. Moreover, it is necessary to develop and propose new methodologies and tools that support companies, mainly SMEs, to better understand their current needs and requirements for emerging digital technologies implementation. Finally, it is recommended to defined concrete, sustainable, and effective plans for digital technology implementation, aiming to maximize the return of investment and minimize risks.
This special session welcomes all researchers, academicians, practitioners, as well as students, interested in any branch related to the adoption and implementation of technologies for 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 for adoption
- Adoption (in)success factors
- Digitalization of networks of organizations
- Aligning technology and organizations
- Interplay between regulation, innovation and adoption
- Education and Training in industry 4.0
Organizer:
Ana Correia Simões, INESC TEC, PT
ana.c.simoes@inesctec.pt
António Almeida, INESC TEC, PT
antonio.h.almeida@inesctec.pt
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 2022
Technologies and applications for medical and healthcare devices are part of the actual human daily life. Nowadays, we are able to find them practically everywhere, apart from the health 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 original research and 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 health
- Medical robotics
- Inclusive technology
- medical devices design
- 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 – Decision Making and Optimisation
The aim of the conference is to bring together researchers with different backgrounds and interests in all aspects of Optimization, applied in an industrial context, its impact in Industrial Organization engineering improvements, in order to further communication, collaboration, and exchange of new ideas. This special session welcomes all researchers, academicians, practitioners, as well as students interested in any branch of Optimization.
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
- Continuos Improvement
- Simulation
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:
SS8 – Optics, Optometry, Opto-Mechanics, Opto-Mechatronics and Machine Vision
Optics and is one of the oldest and most traditional fields of physics, starting from the first simple lens and optical systems approached from the ancient times to complex optical systems that have a wide application, transforming optics in related fields (Optometry, Machine Vision, Opto-Mechatronics and Opto-Mechanics) that can only be approached inter-disciplinarily. Thus, Optometry is a blend of Optics, Physics, Medical and Engineering having the scope of examining the eyes and related structures for defects or abnormalities and prescribing the means to correct or improve the eyesight as well as the perception, human factors, and visual comfort. Opto-Mechanics fills the gap between Optical Systems Design and Mechanical Engineering regarding metrology, errors, positioning having in mind the kinematic and dynamic aspects of optical systems with moving parts. Opto-Mechatronics is a blend of Optics, Precision Mechanics, Electronics and Automation. Machine Vision is a blend of 3D image collection, information processing, visualization, and display technologies including virtual reality.
We invite researchers, academics, and professionals to submit original research and review articles that will contribute to the dissemination of Optics, Optometry, Opto-Mechanics, Opto-Mechatronics and Machine Vision.
Topics of interest include but are not limited to the following:
- Applied Optics
- Augmented reality
- Automation & Control of Opto-Mechanics and Opto-Mechatronics Systems
- Behavioral Optometry
- Industrial Imaging
- Optical and Multidisciplinary Finite Element Analysis (FEA)
- Kinematics & Dynamics of Opto-Mechanics and Opto-Mechatronics Systems
- Laser Systems
- Optical Systems Testing
- Novel Approaches To Optometry Therapeutics
- Optical Design
- Optical Devices
- Optical Metrology
- Opto-Mechanics
- Opto-Mechatronics
- Optometry
- Optometry Instruments
- Optometry Research
- Photo-acoustics
- Refractive Errors and Disorders
- Technologies in Lasers, Optics and Photonics
- Virtual reality
- Visual Field Loss
- Wearable displays
- Other areas of Optics, Opto-Mechanics, Opto-Mechatronics and Machine Vision
Organizer:
Cristian Gabriel Alionte, University Politehnica of Bucharest, RO
cristian.alionte@upb.ro
Andreea STANCIU, National Institute of Research and Development in Mechatronics and Measurement Technique, RO
andreea.popescu@incdmtm.ro
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 of interest include but are not limited to the following:
- 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
- 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.
Organizer:
Dr. Olena Hrybiuk, Associate Professor, Leading Researcher,
International Scientific and Technical University,
Institute of Information Technologies and Learning Tools
National Academy of Educational Sciences of Ukraine
olenagrybyuk@gmail.com
DETAILED DESCRIPTION:
SS10 – Sectorization and Clustering
The organizers of this special session invite you to present original research related to Sectorization and Clustering problems. All the problems involving the partitioning of a set into small subsets, grouping several objects into classes, or organizing data in clusters, given a certain number of criteria, are well suited to the goals of this session. Multiple criteria decision-making and optimization methods are current approaches to solving these problems.
Sectorization and Clustering applications appear in the social area, political districting, the definition of commercial territories, marketing and sales strategies, facility location problems, transportation problems, and many others.
Case studies, surveys, new solution approaches, and applications are welcome. The organizers aim to bring together leading academic scientists, researchers and scholars from the Operational Research community to interchange knowledge, to discuss and disseminate new ideas towards the sectorization and clustering in this special session.
Topics of interest include but are not limited to the following:
- Sectorization
- (Re)Districting
- Facility location
- Clustering
- Transportation and logistics
- Vehicle Routing
- K-Means
- Hierarchical Clustering
- Distance metrics
- Machine learning
- Multiple criteria decision-making
- Optimization methods
- Classification methods
Organizer:
Ana Maria Rodrigues – INESC TEC and CEOS.PP, ISCAP, Politécnico do Porto, PT
ana.m.rodrigues@inesctec.pt
José Soeiro Ferreira – INESC TEC and Faculdade de Engenharia Universidade do Porto, PT
jsf@inesctec.pt
Pedro Rocha – INESC TEC, PT
pedro.f.rocha@inesctec.pt
Elif Öztürk – INESC TEC and Faculdade de Economia Universidade do Porto, PT
elif.ozturk@inesctec.pt
Cristina Lopes – CEOS.PP, ISCAP, Politécnico do Porto, PT
cristinalopes@iscap.ipp.pt
Cristina Oliveira – CEOS.PP, ISCAP, Politécnico do Porto, PT
cteles@iscap.ipp.pt
Margarida Lima – CEOS.PP, ISCAP, Politécnico do Porto, PT
mmal@iscap.ipp.pt
Ana Catarina Nunes – CMAFclO and ISCTE-IUL, PT
catarina.nunes@iscte-iul.pt
Filipe Sousa – ISCTE-IUL, PT
filipe.soares.sousa@iscte-iul.pt
DETAILED DESCRIPTION:
SS11 – Control and Automation in Engineering
This special session addresses all aspects of the crucial field of most of the engineering applications – designing safe, reliable and efficient control systems. Researchers and students from academia as well as industry experts are invited to share their latest findings, best practices, experiences and visions related to this important field of engineering.
Topics of interest include but are not limited to the following:
- Modern Control Approaches
- Process Modelling for Control
- Simulation of Control
- Case Studies of Industrial Control and Automation
- Robotics Applications
- Software Tools for Control and Automation
- Modern Trends and Methods in Control Education
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:
SS12 – 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 | Polytechnic Institute of Viana do Castelo (IPVC), 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:
SS13 – Novel Manufacturing and Processing Techniques
The “Novel Manufacturing and Processing Techniques” session is focused on the presentation of studies and current research on metal-based advanced manufacturing and processing techniques. Authors are encouraged to submit communications that present their latest developments in a discussion oriented perspective, supporting their findings by experimental and numerical approaches, and considering both industry and academic participants as target audiences. This special session is an interactive forum where these topics shall be discussed and shared among peers.
Topics of interest include but are not limited to the following:
- Additive Manufacturing;
- Machining Processes;
- Casting;
- Welding;
- Metal Forming;
- Composites Manufacturing (e.g. MMCs);
- Advanced Manufacturing Techniques;
- Computer-Aided Manufacturing;
- Machine Design and Testing;
- Simulation of Manufacturing Processes;
- Metrology;
- Tribo-Mechanical Material Characterization.
Organizer:
Divisão Técnica – SPM (Tecnologias de Processamento de Materiais)
Abilio de Jesus, FEUP, PT
ajesus@fe.up.pt
Hélder Puga, University of Minho, PT
puga@dem.uminho.pt
Pedro Rosa, IST-UL, PT
pedro.rosa@tecnico.ulisboa.pt
Vitor H. Carneiro, University of Minho, PT
d6705@dem.uminho.pt
Tiago Fraga Silva, Advanced Manufacturing Processes, INEGI, PT
DETAILED DESCRIPTION:
SS14 – 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”.
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
Organizer:
A. Manuela Gonçalves – Centre of Mathematics (CMAT), School of Sciences, University of Minho, PT
mneves@math.uminho.pt
Celina Pinto Leão – Centro ALGORITMI, School of Engineering, University of Minho, PT
cpl@dps.uminho.pt