CONF-MPCS 2023
The International Conference on Mathematical Physics and Computational Simulation (CONF-MPCS 2023) was a hybrid conference which includes several workshops (offline and online) around the world. Dr. Marwan Omar from Illinois Institute of Technology, Dr. Stavros Shiaeles from University of Portsmouth, Dr. Jie Zhang from University of Bath, Dr. Yazeed Ghadi from Al Ain University, Dr. Mustafa ISTANBULLU from Çukurova University, and Dr. Gueltoum Bendiab from University of Frères Mentouri have chaired these workshops on related topics. CONF-MPCS 2023 provided the participants with good opportunities to exchange ideas and build networks, and it will lead to further collaborations between both universities and other societies.
Workshop
Illinois Institute of Technology, USA
Workshop Chair: Dr. Marwan Omar, Associate Professor in Illinois Institute of Technology
The workshop titled "Machine Learning Security" took place on July 12, 2023 at Illinois Institute of Technology. The primary goal of this workshop on machine learning security is to bring together experts and stakeholders from academia, industry, and government to discuss the latest research, technologies, and best practices for securing machine learning systems. The workshop will provide a platform for researchers, practitioners, and policymakers to exchange ideas and collaborate on addressing the challenges associated with machine learning security. One of the key objectives of the workshop is to promote awareness and understanding of the risks associated with machine learning systems and the need for robust security measures. By bringing together experts from diverse backgrounds, the workshop will facilitate discussions and debates on the most pressing security challenges facing the field of machine learning and identify opportunities for collaboration and innovation. Another goal of the workshop is to showcase the latest research and technologies in machine learning security. The workshop will provide a forum for researchers and practitioners to present their work, share their experiences, and receive feedback from their peers. This will enable attendees to learn about the latest developments in the field and identify opportunities for further research and development. Finally, the workshop aims to facilitate collaboration between different stakeholders to develop practical solutions to the security challenges facing machine learning systems. Through panel discussions, breakout sessions, and networking opportunities, attendees will have the opportunity to connect with others who share their interests and expertise and work together to develop strategies for securing machine learning systems in practice.
University of Portsmouth, UK
Workshop Chair: Dr. Stavros Shiaeles, Reader in University of Portsmouth
The workshop titled "Insider Threat Detection Advances Using AI" took place on July 25, 2023 at the University of Portsmouth. The goal of the workshop is to provide attendees the required knowledge to be able to detect Insider Threats in their organization before is too late. As aforementioned Insider Threats is a major issue in the cyber security domain and is very difficult to tackle. This workshop will give fresh ideas and demonstrate ways that Insider Threats can be detected way before the disaster reach the organization. The scope of the workshop on insider threats is to provide attendees with a comprehensive understanding of the malicious actors and how artificial intelligence could help to identify threats before it is too late. The workshop is designed to be comprehensive, covering all aspects of insider threat detection. It is suitable for cybersecurity professionals with varying levels of experience, from those new to the field to those with advanced skills.
University of Bath, UK
Workshop Chair: Dr. Jie Zhang, Associate Professor in University of Bath
The workshop titled "Multi-Agent Reinforcement Learning" took place on August 8, 2023 at University of Bath. This workshop will bring together researchers, practitioners, and industry professionals to discuss the latest research, technologies, and applications of MARL. It will provide a platform for them to share their latest findings, ideas, and ongoing work. The workshop provides opportunities for participants to meet and network with colleagues, establish collaborations, and build professional relationships. We expect to explore emerging trends and topics, identify research gaps, and brainstorm potential solutions or directions for future investigations. Finally, the workshop will contribute to forming and strengthening research communities by bringing together like-minded individuals who aim to develop intelligent and adaptive agents that can effectively navigate complex multiagent systems.
Al Ain University, UAE
Workshop Chair: Dr. Yazeed Ghadi, Associate Professor in Al Ain University
The workshop titled "Enhancing Human-Machine Interaction through Multimodal Interfaces: A User-Centric Approach" took place on July 22, 2023 at the Al Ain University. The workshop aimed to provide a platform for participants to share their research findings, experiences, challenges, and insights related to enhancing human-machine interaction through multimodal interfaces. It encouraged the exchange of ideas, enabling participants to learn from each other's work and expertise. Furthermore, the workshop focused on adopting a user-centric approach to design multimodal interfaces. Participants examined human cognitive processes, preferences, and limitations in interacting with machines. By understanding user needs and capabilities, the workshop aimed to explore how interfaces can be optimized to enhance user experience, increase productivity, and reduce cognitive load. The workshop facilitated empirical evaluation of different multimodal interaction techniques and interfaces. Participants conducted user studies and experiments to assess the effectiveness and usability of various approaches. They measured quantitative metrics such as task completion time and error rates, as well as qualitative assessments including user satisfaction and perceived ease of use. Overall, the workshop aimed to advance the field of human-machine interaction through multimodal interfaces by fostering collaboration, knowledge exchange, and innovation. By focusing on user-centric approaches and empirical evaluations, the workshop aimed to contribute to the development of intuitive, efficient, and user-friendly interfaces that enhance the interaction between humans and machines.
Çukurova University, TURKEY
Workshop Chair: Dr. Mustafa ISTANBULLU, Assistant Professor in Çukurova University
The workshop titled "Process Modelling and Simulation for Semiconductor Microfabrication" took place on July 14, 2023 at Çukurova University. The goal of this workshop is to provide participants with a comprehensive understanding of a process modeling software tool and its applications in simulating and optimizing semiconductor device fabrication processes. By the end of the workshop, participants will be equipped with the necessary knowledge and hands-on experience to effectively leverage this tool in their own research, development, and industrial projects related to semiconductor device fabrication.
University of Frères Mentouri, Algeria
Workshop Chair: Dr. Gueltoum Bendiab, Associate professor in University of Frères Mentouri, Constantine
The workshop titled "Machine Learning: Integrating Machine Learning Techniques to Advance Network Security" took place on August 22, 2023 at University of Frères Mentouri. The workshop aims to explore the intersection of machine learning and network security, highlighting the potential of machine learning techniques to enhance and advance network security practices. Participants will gain a deep understanding of the principles, methodologies, and algorithms underlying machine learning and its application in the context of network security. The workshop focuses on equipping participants with practical skills and knowledge to effectively integrate machine learning into network security practices. Attendees will engage in hands-on exercises and case studies to develop proficiency in implementing and evaluating machine learning models for network anomaly detection, threat identification, and predictive analysis.The workshop provides a platform for networking and collaboration among industry professionals, researchers, and practitioners in the field of network security. Participants will have the opportunity to share insights, best practices, and real-world experiences, promoting a collaborative environment that fosters learning and innovation. The workshop acknowledges the challenges and considerations involved in integrating machine learning into network security. Participants will gain insights into data preprocessing, feature selection, model validation, ethical considerations, and limitations specific to network security applications. The goal is to provide a holistic understanding of the complexities involved and equip attendees with strategies to overcome challenges and make informed decisions. Ultimately, the workshop aims to empower participants with the knowledge, skills, and confidence to leverage machine learning techniques effectively in their network security efforts. By the end of the workshop, attendees will be equipped to develop customized machine learning solutions, enhance their organization's network security posture, and stay ahead of emerging threats.
Online Session
The International Conference on Mathematical Physics and Computational Simulation (CONF-MPCS 2023) was held on August 12, 2023. Prof. Marwan Omar from Illinois Institute of Technology, Prof. Achintya Haldar from University of Arizona, Prof. Roman Bauer from University of Surrey, Prof. Stavros Shiaeles from University of Portsmouth, Prof. Jie Zhang from University of Bath, Prof. Yazeed Ghadi from Al Ain University, Prof. Bhupesh Kumar from University of St-Andrews, Prof. Abdullahi Arabo from University of the West of England, and Prof. Mustafa Istanbullu from Çukurova University have given keynote speeches on related topics of mathematics and applied mathematics, applied physics, etc. Also, we invited authors of qualified papers to deliver oral presentations at the Online Session. Four authors have presented their studies of Mathematical Physics, Computational Simulation and Applied Physics, etc. Questions from the audience were collected and answered by the presenters.
Highlights
Title of Speech: A Study of Torsion Superelasticity and Fatigueless Response in
Spider Silks
Presented by: Prof. Bhupesh Kumar, University of St-Andrews
Title of Speech: Agent-based Modelling and Simulation for Biological and Medical
Research
Presented by: Prof. Roman Bauer, University of Surrey
Title of Speech: Reliability Estimation of Structures Excited by Dynamic Loadings
using Stochastic Finite Element Method (SFEM)
Presented by: Prof. Achintya Haldar, University of Arizona
Title of Speech: Extracting the Electrical Equivalent of a CNT-FET Based Active
Biopotential Electrode
Presented by: Prof. Mustafa Istanbullu, Çukurova University
Title of Speech: Exploring Projective Equivalences between Closures of Orbits
Presented by: Mr. Christopher Qiu, Bridgewater Raritan High School
Videos
You can find the Youtube Playlist here.
Publications
Conference Proceedings
Accepted papers of CONF-MPCS 2023 will be published in Journal of Physics: Conference Series (JPCS) (Print ISSN 1742-6588) by IOP Publishing or Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.
Title: Journal of Physics: Conference Series (JPCS)
Press: IOP Publishing, United Kingdom
ISSN: 1742-6588 1742-6596 (electronic)
Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818 2753-8826 (electronic)