Special Sessions

CIIS 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 special session as Chair or Co-Chair of the event. Accepted papers will be published by conference proceedings, inclusion to indexing databases.

Proposals should include the following information:

  • Title

  • Brief descrition of the session

  • Related topics

  • Name, brief biodata and photo of organizer

  • E-mail address of main contact person

  • Please send these information to mail address ciis_info@sciei.org


Special Session I: Railway Operations, Management, and Planning

Applications of modelling, simulation, optimization, and information systems, including related technologies and tools for supporting decision making processes in railway operations and planning systems.

Scope and topics of the special session:

  • Information and technology for transit systems

  • Transport policy and planning 

  • Rail freight and logistics

  • Rail operations and timetable

  • Rail transport modeling

  • Other related topics

Organizer:

Dr.Sunarin Chanta, King Mongkut's University of Technology North Bangkok, Thailand (Email: sunarin.c@itm.kmutnb.ac.th)

Dr.Sunarin Chanta received her B.S. and M.S. degrees in Statistics from Kasetsart University, Thailand in 1999 and 2002. She received her B.S. and Ph.D. degrees in Industrial Engineering from Clemson University, USA in 2008 and 2011. She is currently an associate professor in the Department of Industrial Management, Faculty of Industrial Technology and Management (FITM), King Mongkutss University of Technology North Bangkok (KMUTNB), Thailand. Her research interests include applications of operations research in heathcare management, logistics, and railway management. Her research have been focused on optimization methods include mathematical programming, multi-objective optimization, mataheuristics, etc. She collaborates in serveral funded research projects include The development of an emergency medical service system by considering of survival rate, Decision support system for disaster prevention and mitigation task using GIS for Thailand's Eastern Economic Corridor (EEC), and Optimal location of high-speed rail hubs based on demand. Her research have been published in the international journals including Computers & Industrial Engineering, Annals of Operations Research, IIE Transactions on Healthcare System Engineering, etc.

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Special Session II: Evolutionary Computation for Industry and Real-World Applications

The industry has gradually evolved towards the complete digitalization of processes and products. The great amount of information available and its embedded value has led to unprecedent opportunities to take the productivity to another level. Additional technologies, such as Cloud Computing, Artificial Intelligence and Big Data has also contributed to this trend, allowing the fusion, storage and retrieval of heterogeneous data and its related knowledge. This scenario has helped to the efficient solving of valuable problems such as predictive maintenance, delivery logistics, optimization of could computing processes, optimized stock management, or the digital replication of industrial systems and processes. Within this confluence of digital technologies, Artificial Intelligence, have undoubtedly emerged as one of the industry pillars, igniting a vibrant research activity in recent times.
In this regard, the special session "Evolutionary Computation for Industry and Real-World Applications", to be held during CIIS 2023, aims at disseminating the latest findings and research achievements dealing with Evolutionary Computation applied to industrial and real-world problems and setups. The session will congregate interested colleagues willing to share new research topics and ideas that stimulate fruitful collaborations.

Topics of interest include, but are not limited to:

  • Predictive maintenance

  • Industry 4.0 and energy, including energy efficiency in production

  • Predictive detection of faults, errors and defects

  • Demand prediction and inventory/stock/logistics optimization

  • New intelligent models for knowledge discovery and optimization in industry

  • Explainability/accountability of Deep Learning/black-box models for industrial applications

  • Recent advances on nature inspired methods, with emphasis on those inspired by biological processes and behaviors typically observed in Nature

  • Novel applications of evolutionary computation to real-world industrial scenarios

  • Applications of evolutionary computation to Cloud Computing

  • Evolutionary Computing methods for supervised and unsupervised data mining

  • Applications of Swarm Robotics to industrial environments, with an emphasis on real-world scenarios.Related topics

Organizer:

Dr. Eneko Osaba, TECNALIA Research and Innovation, Derio, Spain. ( Email: eneko.osaba@tecnalia.com)

Dr. Eneko Osaba works at TECNALIA as researcher in the DIGITAL/NEXT area. He received the B.S. and M.S. degrees in computer sciences from the University of Deusto, Spain, in 2010 and 2011, respectively. He obtained his Ph.D. degree on Artificial Intelligence in 2015 in the same university, being the recipient of a Basque Government doctoral grant. Throughout his career, he has participated in the proposal, development, and justification of more than 25 local and European research projects. Additionally, Eneko has also participated in the publication of 160 scientific papers (including more than 30 Q1). He has
performed several stays in universities of United Kingdom (Middlesex University), Italy (Universita Politecnica delle Merche) and Malta (University of Malta). Eneko has served as member of the program committee in more than 60 international conferences. Furthermore, he has participated in organizing activities in more than 10 international conferences. Besides this, he is member of the editorial board of International Journal of Artificial Intelligence, Data in Brief and Journal of Advanced Transportation, and he has acted as guess editor in journals such as Journal of Computational Science, Neurocomputing, Logic Journal of IGPL, Swarm and Evolutionary Computation, Algorithms, Advances in Mechanical Engineering journal and IEEE ITS Magazine. In his research profile it can be found a 26 H-index with 3155 cites in Google Scholar. Additionally, Eneko was an Individual Ambassador for ORCID along 2017-2018. Eneko, he has nine intellectual property registers, granted by the Basque Government, and he has two European patents. In 2022, Eneko was recognized by the Basque Research and Technology Alliance as one of the most promising your researchers of the Basque Country, Spain.

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