Special Session



Welcome to submit your special session proposal!

Special Session 1: Formal Methods and Intelligent Tools for Cybersecurity


This special session delves into the realm of formal methods and intelligent tools for cybersecurity and cyber defense. As the intricacy of communication networks continues to escalate, the imperative for robust security measures becomes increasingly paramount and formidable. Traditional security technologies may prove inadequate to meet the demands of users operating within open, heterogeneous, dynamic, mobile, distributed, and wireless computing environments. Consequently, there arises an incessant demand to cultivate environments that facilitate diverse applications to collaborate while upholding elevated levels of security. The primary aim of this session is to convene researchers and practitioners actively engaged in the realms of security, cybersecurity, and cyber defense. The emphasis lies in deliberating emerging methodologies and strategies for crafting and fortifying secure systems and networks. Submissions focusing on formal methodologies are especially encouraged, as well as papers proposing approaches integrating AI, ML, DL, XAI, and NLP techniques.


Session Organizers
▪ Prof. Jaouhar Fattahi, Laval University, Québec, Canada
▪ Prof. Mohamed Mejri, Laval University, Québec, Canada
▪ Prof. Ridha Ghayoula, Moncton University, New Brunswick, Canada
▪ Prof. Emil Pricop, Petroleum-Gas University of Ploiesti, Romania


The topics of interest include, but are not limited to:
• Cryptographic protocols
• Cryptography and Cryptanalysis
• Network security
• Hardware security
• Software security
• Formal Methods for security
• Biometrics
• Web applications security
• Security policies, model and architecture
• Privacy, trust and anonymity
• Security in parallel and distributed systems
• Cloud security
• Incident response and management
• Identity and access management
• Governance, risk management, and compliance
• Physical security
• Security architecture and design
• Wireless and mobile security
• Intrusion detection
• Anomaly detection
• Detecting toxic content on social networks


Submission method
Submit your Full Paper (no less than 8 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Track: ICCCM 2024-Special Session 1 (Formal Methods and Intelligent Tools for Cybersecurity)
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Special Session 2: Interdisciplinary Aspects of AI, IoT for Industrial and Medical Applications, and Social Deployment

 

Artificial Intelligence (AI) and the Internet of Things (IoT) are empowering and widely used in society, industry, and the medical field. In particular, many achievements have been made in the industrial and medical fields. We aim to be at the forefront of their dissemination to academics and the general public as a social infrastructure worldwide. In a broad sense, AI is a series of processes that use various methods to find meaning and value in the data collected by the IoT. These have the potential to solve various problems that exist in human society.
In this particular track, we welcome submissions to present new research issues and examples of social implementations related to AI and IoT technologies for the practical application of AI and IoT across disciplines. Submissions to this track should report actual and significant unpublished results on any aspect of society or the medical and industrial communities.

 

Session Organizers
▪ Assoc. Prof. Takanobu Otsuka, Nagoya Institute of Technology, Japan
▪ Assoc. Prof. Shintaro Oyama, Nagoya University, Japan


Assoc. Prof. Takanobu Otsuka
Nagoya Institute of Technology, Japan


Dr. Takanobu Otsuka is an Associate Professor at the Nagoya Institute of Technology. He received an M.E and Doctor of Engineering from the Nagoya Institute of Technology in 2011 and 2016, respectively. From 2012 to 2015, he was an Assistant Professor at the Nagoya Institute of Technology. From 2015 and 2016, he was a visiting researcher at UCI (the University of California Irvine).
His main research interests include IoT, multi-agent systems, intelligent agents, distributed systems, and software engineering on offshoring.


Assoc. Prof. Shintaro Oyama
Nagoya University, Japan


Dr. Shintaro Oyama is an Associate Professor at the Innovative Research Center for Preventive Medical Engineering (PME), Institute for the Innovation for Future Society, Nagoya University, Tokai National University Organization, and is currently involved in industry-academia collaborative research in a wide range of areas.
He graduated from Nagoya University School of Medicine in 2007, and obtained his medical license. While working as a orthopedic and hand surgeon, he has been engaged in research in the areas of machine learning and photonics as a junior research associate in the Image Information Processing Research Team at RIKEN since 2013. He has also been involved in the development of medical AI and medical xR technologies at the Medical IT Center and xR Center in Nagoya University Hospital (NUH).
His research themes are; Medical AI, Software as a Medical Devices, Medical IoTs, Social Healthcare Systems, Medical Informatics.

We plan to provide a unified platform for innovative research in the core and applied areas by sharing demonstrations and the latest research in AI and IoT.

 

The topics of interest include, but are not limited to:
• Image recognition
• Machine Learning
• Knowledge representation, reasoning, and planning
• IoT and medical and Industrial practice
• Learning and adaptation
• AI and IoT for Human Learning and Behavior Change
• AI and IoT in Business
• Pattern Recognition
• Big Data and AI
• semi-supervised and unsupervised learning
• Reinforcement learning
• Innovative applications


Co-organized by
▪ New Energy and Industrial Technology Development Organization (NEDO) (Public-Private Young Researcher Discovery Support Program), Japan
▪ AIMAILs, National University Organization Nagoya University, Japan
▪ Co-Creation IoT Infrastructure Research Center, Nagoya Institute of Technology, Japan


Submission method
Submit your Full Paper (no less than 8 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Track: ICCCM 2024-Special Session 2 (Interdisciplinary Aspects of AI, IoT for Industrial and Medical Applications, and Social Deployment)
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Special Session 3: Time-Series Data Processing and Real Data Analysis

This special session addresses the analysis and utilization of time-series data collected in various contexts, from our daily lives to manufacturing, economics, and medical care. Time-series data is collected for a broad range of purposes, such as elderly care, preventive maintenance of industrial equipment, self-evaluation of investment products, and business strategy formulation.
Furthermore, the recent proliferation of IoT (Internet of Things) and ID-PoS (Point of Sales with ID) systems has led to an increase in the volume of data acquired. As the costs of collecting and retaining data rise, there is a growing need for its effective utilization. On the other hand, since time-series data varies in periodicity, presence or absence of trends, and pattern characteristics depending on the target, it is necessary to understand the data specific to each target and develop appropriate processing and analysis methods. Therefore, this session aims to share time-series data analysis methods, examples of their application, and the knowledge gained in various fields to accelerate the development of methods for effective utilization of the increasing volumes of data.

 

Session Organizer
▪ Asst. Prof. Kosuke Shima, Nagoya Institute of Technology, Japan

 

Submission method
Submit your Full Paper (no less than 8 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Track: ICCCM 2024-Special Session 3 (Time-Series Data Processing and Real Data Analysis)
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