Call for Special Sessions

ICIEA 2024-Europe proposals for special sessions within the technical scope of the conference. Special sessions supplement the regular program of the conference and provide a sample of the state-of-the-art research in both academia and industry in special, novel, challenging, and emerging topics.

Special-session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of their special session as Chairs or Co-Chairs of the event.

Please provide all the information requested above in PDF format by E-mail to secretary_eu@iciea.org before October 30, 2023

• Title;
• Name(s) of organizer(s);
• Email of main contact person;
• Brief bio(s) of organizer(s);
• Brief description;
• Related topics;
• Potential participants;

About the Session:

Machine Learning is a prospective area of investigation for several different aspects of Industrial Engineering. The aim of this section is to provide an overview of the emerging state-of-the-art research in the field. Papers and presentations about innovative research works relying on Machine Learning, both addressing Industrial Engineering problems directly, or supporting traditional approaches, are welcome.

• Artificial Intelligence
• Combinatorial Optimization
• Decision Analysis and Methods
• Decision Support Systems
• Deep Learning
• Information Processing and Engineering
• Intelligent Manufacturing Systems
• Logistics and Supply Chain Management
• Machine Learning
• Mathematical Programming
• Neural Networks
• Operations Research Applications
• Production Planning and Control
• Quality Control and Management
• Reliability and Maintenance Engineering
• Safety, Security and Risk Management
• Scheduling Problems

Chairman:

Roberto Montemanni is full professor of operations research at the University of Modena and Reggio Emilia, Italy. He also acts as an external research advisor at the Dalle Molle Institute for Artificial Intelligence, University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK. He has been administrating grants and leading basic and applied research projects both at national (Italy and Switzerland) and international levels. His main research interests are in the fields of mathematical modeling, algorithms and machine learning, with applications mainly in transportations, logistics and industrial engineering.

About the Session:

The technological advancements of the Fourth Industrial Revolution, conventionally referred to as Industry 4.0, are revolutionizing industrial production. The First Industrial Revolution was based on mechanization and steam engines; the Second on the use of electricity and mass production; and the Third on electronics and information technologies, resulting in a high level of automation in manufacturing. Industry 4.0 elevates manufacturing process automation to a new level with smart autonomous systems capable of self-cognition, self-optimization, and self-customization. Industry 4.0 refers to concepts, techniques, and systems that supplement a smart embedded system of machines capable of communicating with one another and with humans, as well as performing autonomous tasks in industrial production processes. Cyber-physical systems (CPSs), the Internet of Things (IoT), big data and cloud computing, autonomous robots, simulation and visualization models, and additive manufacturing are among the most important tools. Automation and robotics are viewed as key components – the arms and legs of Industry 4.0; cameras and other sensors are viewed as senses; data and connectivity are viewed as the nervous system; and artificial intelligence (AI) is viewed as the brain. AI improves production systems by allowing humans and robots to collaborate in smart factories for mass customization.
• Related topics: We welcome papers that refer to (but are not limited to) themes such as:

• Influence of the most important Industry 4.0 factors on production and services.
• Industry 4.0: Prospects and challenges in the business environment
• Industry 4.0 and mobility of labor
• New technology influence on employment market transformation
• Education, digital strategy, and business technology
• New technologies for inclusive and sustainable industrial and economic development
• Society resistance against AI, Robotics, IoT, big data
• New technology for new models of education
• Digitization of the Economy: Adoption of AI, bid data and cloud computing by SMEs
• Impact of AI, big data, and cloud computing on global workplace
• Innovation & creativity: Application of AI and Robotics in human welfare

Chairman:

Dr. Bilal Khalid received a Ph.D. degree in industrial business administration from KMITL Business School, Bangkok, in 2021, and a master’s in international business management from Stamford International University, Bangkok, in 2017. He is working as a lecturer at King Mongkut’s Institute of Technology Ladkrabang, Bangkok, in the faculty of KMITL Business School. His research interests include Leadership & Negotiations, Digital Transformations, Gamification, eLearning, Blockchain, Big Data, and Management of Information Technology. He also serves as a reviewer for international Scopus and Web of Science indexed journals.'