1) Title: The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) at the network edge is defining the next wave of computing

Organizer-Chairman: Prof. Iuliana Marin
Affilitation: Department of Engineering in Foreign Languages,
National University of Science and Technology POLITEHNICA Bucharest, Romania
E-mail: [email protected]

Aim: To be announced soon

Topics:
To be announced soon

2) Title: Harnessing Biologically Inspired Models and Generative AI for Innovation in Smart Healthcare

Organizer-Chairman: Dr. Prabhjot Kaur Sidhu,
Affilitation: Professor, MSIT, Guru Gobind Singh Indraprastha University, New Delhi, India
E-mail: [email protected]

Aim: Leveraging biologically inspired models in conjunction with generative AI offers a revolutionary pathway for innovation in healthcare, unlocking remarkable opportunities to enhance patient outcomes and improve operational efficiency. By mimicking the complex processes found in nature—such as neural networks modeled after the human brain and swarm intelligence reflecting collective animal behavior—these computational frameworks enable sophisticated problem-solving and predictive analytics. Generative AI further enhances these capabilities by facilitating the development of innovative medical solutions, including personalized treatment plans and synthetic drug designs customized for individual patients. This collaborative integration not only improves diagnostic precision and treatment efficacy but also optimizes research and development workflows, setting the stage for significant advancements in precision medicine and health technology. As we explore the convergence of these fields further, the future of healthcare is poised to become more responsive, efficient, and customized to meet individual needs. As we explore the convergence of these fields further, the future of healthcare is poised to become more responsive, efficient, and customized to meet individual needs. These bio inspired computing have high problem solving efficiency. They are robust and adaptable to changing environment and used in interdisciplinary research too. The aim of this special issue is to know about various advancements in bio inspired computing inspired by Generative AI and its applications in the field of healthcare. Papers are invited for the healthcare sector and the area is not limited to the following domains:

• Pattern Recognition
• Machine Learning
• Robotics
• Data mining and knowledge discovery
• Cyber Security
• Computer Networks
• Agriculture and environmental monitoring
• Optimization Algorithms
• IoT
• Image Processing

Topics:
- Biologically Inspired Models and Generative AI in the healthcare sector
- Advance Personalized Healthcare Solutions
- Enhance Predictive Analytics and Decision-Making
- Improve Efficiency in Healthcare Systems
- Pioneering Innovation in Drug Discovery and Medical Devices
- Addressing Ethical, Security, and Regulatory Considerations
- Next Generation of Smart Healthcare Systems


3) Title: Algebraic Structures in Computation: Polynomial Rings, Finite Fields, and Special Algebraic Elements

Organizer-Chairman: Dr. Amara Chandoul
Affilitation: Higher Institute of Informatics and Multimedia of Sfax, Sfax University, Tunisia
E-mail: [email protected], [email protected]

Aim: This symposium aims to investigate the deep connections between three pivotal algebraic concepts: the arithmetic of polynomial rings over the integers (Z[X]) and over finite fields (F_q[X]), and the theory of Pisot and Salem numbers. While seemingly distinct, these areas converge in powerful ways to solve concrete problems in signal processing, coding theory, and systems design. For instance, the distribution of roots of polynomials (linked to Salem numbers) directly affects the stability and performance of digital filters and wavelets.

Topics:
- Analogies & Interactions: Comparative studies of ideals, factorization, and module structures in Z[X] vs. F_q[X], and their algorithmic implications.
- Special Numbers in Engineering: The role of Pisot and Salem numbers in the construction of perfect autocorrelation sequences, wavelet filters, and linear systems with prescribed spectral properties.
- Unified Algebraic Frameworks: Categorical or homological approaches that provide a unified view of these structures.
- Applications to CSCC Domains: Explicit applications in error-correcting codes, lattice-based cryptography, signal design, and system stability analysis.


4) Title: Cyber Security vs Rising AI

Organizer-Chairman: Prof. Eduard Babulak
Affilitation: US National Science Foundation & European Commission
E-mail: [email protected]

Aim: We are yet at the very beginn9ing of new Generation AI that will transform dramatically the Cyber Security Landscape worldwide

Topics:
To be announced soon

5) Title: Leadership, Governance, and Organizational Performance in the Digital Era

Organizer-Chairman: Dr. Suryaning Bawono
Affilitation: S.E., M.Si, Faculty of Economics and Business Universitas Jember, Indonesia
E-mail: [email protected]

Aim: This symposium explores the critical intersection of leadership and good governance as drivers of organizational performance in the digital era. It will highlight how transformational leadership styles and governance frameworks can foster transparency, accountability, and innovation. The session aims to bring together scholars and practitioners to discuss empirical findings, theoretical advancements, and practical strategies that unlock sustainable performance across public and private sectors. Topics will include leadership in digital transformation, governance challenges in emerging economies, and the role of ethics and accountability in shaping resilient organizations.

Topics:
To be announced soon

6) Title: AI, Sustainability, and Planetary Health: Intelligent Systems for Environmental Risk, Resource Management, and Global Resilience

Organizer-Chairman: Dr. Minakshi Pradeep Atre
Head of the Department of Artificial Intelligence and Data Science
PVG’s College of Engineering, Technology and Management, Pune University, Maharashtra, India
E-mail: [email protected]

Aim: The aim of this symposium is to bring together interdisciplinary research on the use of artificial intelligence, remote sensing, environmental analytics, and intelligent systems to address major global challenges related to environmental risk, sustainability, resource management, public health, and planetary resilience. The symposium focuses on AI-driven predictive systems and real-world mitigation strategies that support sustainable development, improve disaster resilience, enhance transparency in carbon markets, optimize resource consumption, and promote environmental and human health.

Topics:
- AI for Climate and Environmental Monitoring
- Circular Economy and E-Waste Governance
- Water Sustainability and Smart Resource Systems
- Environmental Health and Toxic Exposure
- Disaster Prediction and Resilience Systems
- Satellite Intelligence and Earth Observation
- Carbon Credit Integrity Verification
- Environmental and Socioeconomic Impacts of E-Waste
- Personal Water Usage Tracking
- AI-Enabled Disaster Resilience
- El Niño Prediction and Mitigation
- Excessive Pesticide Use in Agriculture
- Microplastics in Water
- Planetary Health and Sustainable Development