IFIP/IEEE Conference Plenary Session Program

December 10, 2022

Participated by Scholars from Brazil, China, Hungary, Russia, Spain, Turkey, US 

SESSION TIME

TOPICS

SPEAKERS

December 10

6:00 AM (US Eastern)

8:00 AM (Brazil)

12 AM (Hungary)

2 PM (Moscow and St. Petersburg, Russia)

2 PM (Turkey)

7 PM (China)

Opening Speech

Dr. Li Da Xu

IFIP TC 8.12

6:05 AM (US)          

Business Meeting: IFIP TC 8.12; IEEE SMC TC EIS/TC EAE

Journal of Industrial Information Integration Editorial Board Meeting

Dr. Li Da Xu

6:10 AM (US)

2:10 PM (Moscow)

Plenary Speech

Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data     

Ilya Makarov et al., Russia

6:30 AM (US)

2:30 PM (Turkey)

Plenary Speech

An Integrated and Multi-Perspective Approach to the Requirements

of Machine Learning 

Murat Pasa Uysal, Turkey

7:00 AM (US)

3:00 PM (St. Petersburg)

Plenary Speech

Conceptual approach to the resource allocation dilemma in multi-pr

oject industrial integration context 

Anna Strimovskaya and Sergey Barykin, Russia

7:30 AM (US)

3:30 PM (St. Petersburg)

Plenary Speech

An algorithmic framework for informational control enhancement in integrated transportation systems  

Anna Strimovskaya and Andrey Bochkarev, Russia

8:00 AM (US)

10:00 AM (Brazil)

Plenary Speech

The Product's Great Journey: A Multi-triangular Agile Approach   

Paulo Henrique Palma Setti,  Osíris Canciglieri Junior, Anderson Luis Szejka, Brazil; Fernando Mas, Spain

8:30 AM (US)

2:30 PM (Hungary)

Plenary Speech

Leveraging business process models for change management in Industry 4.0  

Domonkos Gáspár et al. Hungary

9:00 AM (US)

10:00 PM (China)

Plenary Speech

Research and Design of Intelligent Networked Pet Information Application

Xiaodan Cai, China

9:30 AM (US)

5:30 PM (Turkey)

Plenary Speech

Blockchain-based framework for Supply Chain Traceability

Elif Bağnu Korkmaz, Turkey

10:00 AM (US)

12:00 PM (Brazil)

Knowledge-based systems enabling Smart Manufacturing Systems in Aerospace Industry based on Models for Manufacturing (MfM)

Anderson Szejka et al., Brazil

10:30 AM (US)

Conclusion

Dr. Li Da Xu, USA