Submissions (Call for papers)

Virtual Reality (VR) is an increasingly popular and versatile technology beyond entertainment. With a rapidly expanding market for hardware and VR games, it has become evident that VR holds immense potential for various domains, including education and engineering research.
As Confucius wisely said, “Tell me and I will forget, show me and I will remember, let me do, and I will understand.” VR enables us to interact with virtual objects, conduct many experiments, and analyze complex systems by visualizing abstract properties such as forces, potentials, and accelerations. It empowers us to acquire new skills without depleting valuable resources, enhance our precision in movements, and gain deeper insights into the inner workings of things.
In education and engineering research, VR equipment is invaluable in diverse applications. It facilitates training for complex medical procedures, refines athletic performance by optimizing techniques in sports like tennis, and aids in designing automated factory setups. Furthermore, VR allows for the visualization of chemical reactions, testing mechanical systems and control algorithms, and constructing intricate Rube Goldberg machines. The potential applications extend to rehabilitation for patients and training for athletes. In essence, the possibilities are boundless.
The main objective of this proposed special session at MIDI2023 is to foster the exchange of ideas and experiences related to interacting with Virtual Reality applications, specifically in education and engineering research. The session will be hosted on the Oculus Workrooms platform, enabling participants with Oculus Quest 2 to join as virtual avatars. Traditional online participation through video or audio streaming will also be available.
The Special Session will encompass a wide range of topics about research in Interacting with Virtual Reality Applications, including but not limited to:Advancements in Applications & Experiences

1. Collaborative Work in Virtual Environments
2. Human-Machine Interaction & Usability Studies
3. Process Visualization Techniques
4. Virtual Laboratories and their Practical Implementation
5. Virtual Reality for Bioengineering and Biomedical Applications
6. Virtual Simulations of Mechanical Systems for Engineering Analysis
7. Virtual Reality in Rehabilitation and Therapeutic Interventions
8. Enhancing Precision of Human Motion through Virtual Reality Systems
9. The Metaverse: Exploring the Emergence of a Connected Virtual Reality Network
10. Augmented Reality (AR) Research and Applications

Special session 2:
Title: Securing the Future: Advances in Cyber-Physical Systems and Digital Twins.

Proposer: Dr. Jakub Możaryn
Warsaw University of Technology, Faculty of Mechatronics

Cyber-physical systems (CPS) combine computational and physical elements, bridging the digital and physical worlds for enhanced monitoring, control, and automation. They are found in various domains and industries, including transportation, energy, manufacturing, healthcare, agriculture, smart cities, and infrastructure, enabling advancements such as autonomous vehicles, smart grids, and intelligent buildings.
As industries rely more on remote Internet access, safeguarding critical facilities has become crucial. The heightened importance of cybersecurity in securing cyber-physical systems against failures and cyberattacks is driven by the current international situation. One research area focuses on designing fault diagnosis schemes for sensors and actuators, primarily to compensate for malfunctions through fault-tolerant control actions, while estimating the remaining useful life of system components has gained recent attention due to maintenance costs from inefficient operations and premature failures. Integrating cyber and physical components in Cyber-Physical Systems (CPS) enhances their efficiency but presents new research challenges due to increased susceptibility to cyberattacks.
This special session focuses on digital twins, a promising solution within cyber-physical systems to improve their efficiency, safety and security. Digital twins are virtual replicas of physical assets and processes, enabling real-time monitoring, analysis, and control. The session acknowledges the importance of digital twins in enhancing the protection of cyber-physical systems.
We invite researchers and practitioners to participate and actively contribute to our special session. We encourage sharing experiences in designing benchmark cases, conducting algorithm tests, and presenting innovative solutions that ensure secure and resilient control within cyber-physical systems. By joining the session, they will have the opportunity to explore the latest advancements in the fields of cyber-physical systems, cybersecurity, digital twins, fault-tolerant control, and resilient control, thus playing an integral role in shaping the secure future of such systems and driving forward the realms of digital interaction.

Topics of interest include

1. Cyber-attack detection, classification, and mitigation in cyber-physical systems.
2. Secure data transmission in cyber-physical systems.
3. Resilient signal processing and control in cyber-physical systems.
4. An integrated approach to risk assessment in cyber-physical systems.
5. Predictive maintenance of the cyber-physical systems.
6. Digital-twin frameworks for cyber-physical systems.
7. Anomaly detection and threat identification in cyber-physical systems.
8. Integration of digital twins with fault-tolerant control mechanisms.
9. Resilient control methodologies for cyber-physical systems
10. Cybersecurity measures and protocols for cyber-physical systems
11. Integration of diagnostics and cybersecurity systems for enhanced protection of the cyber-physical systems
    

Special session 3:
Title: Advancements in Digital Health: Bridging the Gap Between Patient and Diagnosis.

Proposers: Dr. Piotr Sobecki, Dr. Rafał Jóźwiak
National Information Processing Institute, Laboratory of Applied Artificial Intelligence

As the digital revolution takes hold of the medical field, a new era of healthcare is on the horizon. Advanced technologies, particularly in Artificial Intelligence (AI) and Machine Learning (ML), have begun to significantly transform the landscape of medical diagnostics, predictive analysis, and personalized patient care. This transformation, however, does not come without its unique set of challenges – from privacy and security issues to the integration of new technological processes in existing healthcare systems.
The goal of this session is to delve into the cutting-edge developments within the field of digital health, and to provide a platform for thought leaders, researchers, and practitioners to discuss potential solutions to these pressing challenges. The main focus will be on the application of AI and ML in medical diagnostics, the emerging trends in telemedicine, the role of natural language processing in clinical decision support systems, and the future of personalized medicine through AI, among others.
Participants are encouraged to share their insights, research findings, and innovative solutions in this field. The discussion will also include pressing issues such as data privacy, security, and ethical implications in AI-enabled healthcare. The aim is to generate a rich dialogue that can help propel the field of digital health forward, ultimately resulting in enhanced patient care and improved health outcomes.

Topics of interest include

1. Utilization of Artificial Intelligence in Digital Health and Diagnostics
2. The Role of Structured Reporting Systems in Modern Medicine
3. Standardizing Diagnostic Procedures: Challenges and Approaches
4. Emerging Trends in Digital Health: Patient Data and Diagnosis
5. Machine Learning Applications for Streamlined Diagnostic Processes
6. Advancements in Predictive Analysis for Enhanced Patient Diagnosis
7. Data Privacy and Security in Digital Health: Ethics and Regulations
8. Improving Diagnostic Precision with Computer-Aided Systems
9. Digital Health and Telemedicine: Transforming Patient Care
10. Standardizing Medical Imaging Techniques and Interpretations
11. Clinical Decision Support Systems: Enhancing Accuracy and Efficiency
12. Leveraging AI for Personalized Healthcare and Treatment Plans
13. Impacts of Big Data in Standardizing Health Diagnostics
14. The Role of Interoperability in Digital Health Advancements
15. Transforming Medical Practices: Incorporating AI in Health Records Management.