APSAC

1) Title: Special Session on Intelligent Language and Speech Technologies for Low-Resource and Multimodal Communication

Organizers-Chairmen: Prof. Mussa Turdalyuly
Institute of Information and Computational Technologies
META University
Almaty, Kazakhstan
Email: m.turdalyuly@gmail.com

Aim: This special session aims to bring together researchers working on intelligent systems for language, speech, and multimodal communication, with particular attention to low-resource languages and inclusive AI technologies. The session will highlight recent advances in natural language processing, automatic speech recognition, sign language technologies, speech-to-sign language translation, and related intelligent methods that support accessible, human-centered, and multilingual communication systems.

Topics:
- Natural Language Processing (NLP)
- Automatic Speech Recognition (ASR)
- Speech-to-Sign Language Translation
- Sign Language Processing and Recognition
- Sign Language Generation
- Low-Resource Language Technologies
- Multilingual and Cross-Lingual Language Models
- Intelligent Systems for Human-Computer Interaction
- Speech Processing and Spoken Language Understanding
- Machine Translation for Low-Resource Languages
- Inclusive and Accessible AI Systems
- Multimodal Learning for Speech, Text, Gesture, and Sign
- AI for Communication Support Technologies
- Deep Learning for Language and Speech Applications
- Knowledge-Based and Hybrid Intelligent Systems

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2) Title: Modelling of the multiphase flows

Organizers-Chairmen: Prof. Ivan Kazachkov
Nizhyn Mykola Gogol State University, Ukraine
Email: kazachkov.iv@ndu.edu.ua

Aim: The Aim is a discussion of the methods and computational techniques for multiphase flows.

Topics:
- Turbulent jets of mutually immiscible fluids
- Turbulent multiphase gas-liquid and liquid-particle jet flows
- Models for multiphase channel flows
- Application of fractals
- Local abnormal heat generation due to nonlinear heat conductivity

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3) Title: Artificial Intelligence, Energy & Environment : Shaping a Sustainable Future

Organizers-Chairmen: Dr. Rania Jradi
University of Gabes, Tunisia
Email: rania.jradi@issatgb.u-gabes.tn

Aim: The aim of this special session is to bring together original research articles and review papers addressing recent developments and advances in artificial intelligence techniques, computational methods, and data-driven approaches applied to energy systems and environmental sciences. The symposium seeks to highlight cutting-edge innovations in areas such as machine learning, optimization, and predictive modeling, with a particular focus on their role in improving energy efficiency, supporting the integration of renewable energy sources, enhancing environmental monitoring, and enabling sustainable resource management. It also aims to foster interdisciplinary discussions and to identify emerging challenges and future research directions in the field.

Topics:
- Renewable energy forecasting (solar, wind, hydro)
- Energy efficiency and optimization in buildings and industry
- Demand response and energy consumption prediction
- AI for energy storage systems
- Air and water quality monitoring using AI and IoT
- Climate modeling and climate change prediction
- Pollution detection and environmental risk assessment
- AI for sustainable resource management
- Digital twins for environmental systems
- Waste management and circular economy solutions
- Machine learning and deep learning applications in energy
- Reinforcement learning for system optimization
- Big data analytics for environmental and energy systems
- Physics-informed AI and hybrid modeling approaches
- Carbon emission reduction strategies
- AI in carbon capture and storage
- AI-enabled low-carbon technologies and hydrogen economy
- Climate adaptation and resilience modeling
- Environmental footprint of AI systems

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4) Title: Soil Water Resources

Organizers-Chairmen: Prof. Zhongsheng Guo
1. Northwester A & F University, Yangling, China
2. Institute of Soil and Water Conservation, CAS and MWR, Yangling, China
Email: guozs@ms.iswc.ac.cn

Aim: The aim of this special session is to bring together researchers, scientists, engineers, and practitioners to present and discuss recent advances, innovative methodologies, and practical applications related to soil water resources. The session will focus on understanding the dynamics of soil water, its role in sustainable agriculture, environmental protection, and climate resilience, as well as the development of efficient management strategies. Emphasis will be placed on interdisciplinary approaches that integrate hydrology, soil science, environmental engineering, and data-driven technologies to address current and future challenges in water resource management.

Topics:
- Soil moisture dynamics and modeling
- Hydrological processes in unsaturated soils
- Soil–plant–water relationships
- Irrigation management and optimization techniques
- Precision agriculture and soil water monitoring
- Remote sensing and GIS applications in soil water assessment
- Groundwater–soil water interactions
- Climate change impacts on soil water resources
- Drought assessment and mitigation strategies
- Water conservation and sustainable land management
- Soil salinity and water quality issues
- Infiltration, runoff, and erosion processes
- Numerical and computational modeling of soil water systems
- Smart sensing technologies and IoT applications in soil moisture monitoring
- Artificial intelligence and machine learning in water resource prediction
- Policy, governance, and socio-economic aspects of water resource management

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5) Title: AI-Driven Quantum Simulation for Sustainable Engineering Systems

Organizers-Chairmen: Prof. Sarah Benziane
University of Science and Technology of Oran Mohamed Boudiaf (USTO-MB), Algeria
Email: sarahbenziane1@gmail.com

Aim: This Special Session aims to bring together researchers at the intersection of Artificial Intelligence, Quantum Computing, Physics-based Simulation, and Sustainable Engineering. As quantum hardware matures and AI models grow increasingly capable of solving complex physical systems, this session will explore how these paradigms converge to address real-world engineering and environmental challenges - from energy-efficient computing architectures to climate modelling and green industrial systems. The session targets researchers, engineers, and practitioners working across disciplines, fostering interdisciplinary dialogue and collaboration around some of the most exciting developments in modern applied physics and computing.

Topics:
- Quantum machine learning for physics simulation and optimisation
- AI-assisted quantum circuit design and error mitigation
- Hybrid classical-quantum algorithms for engineering problems
- Edge AI and quantum-inspired computing for IoT and smart systems
- Deep learning for climate modelling and environmental prediction
- Physics-informed neural networks (PINNs) in sustainable engineering
- Quantum sensing and signal processing for environmental monitoring
- Green computing: energy-efficient AI and hardware co-design
- AI for smart grids, renewable energy forecasting, and demand optimisation
- Simulation of complex physical systems using generative AI models

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