1. Intelligent Computing for Bioinformatics and Medical Imaging (ICBMI)

Special Session Organizers:
  • Nguyen Quoc Khanh Le (khanhlee@tmu.edu.tw), Associate Professor, College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Dang Hung Tran (hungtd@haui.edu.vn), Associate Professor, School of Information and Communications Technology, Hanoi University of Industry, Vietnam
  • Duc-Hau Le (hauld@soict.hust.edu.vn), Associate Professor, School of Information and Communications Technology, Hanoi University of Science and Technology, Vietnam
Objectives and topics:

We are pleased to invite submissions to a special section on Intelligent Computing for Bioinformatics and Medical Imaging (ICBMI), bringing together cutting-edge research at the intersection of computational science, biology, and medical imaging. This section aims to highlight recent advances in intelligent algorithms and data-driven approaches that enable deeper insights into complex biological systems and improve clinical decision-making.

With the rapid growth of high-throughput sequencing technologies and advanced medical imaging modalities, vast amounts of biomedical data are being generated at unprecedented scales. Intelligent computing techniques, including machine learning and deep learning, have become essential tools for extracting meaningful patterns, integrating multi-modal data, and supporting accurate diagnosis and treatment planning. This special section seeks high-quality original contributions that propose novel methods, frameworks, and applications in bioinformatics and medical imaging.

Topics of interest include, but are not limited to:
  • Machine learning and deep learning in bioinformatics
  • Computational genomics, transcriptomics, and proteomics
  • Biological network analysis and systems biology
  • Multi-omics data integration and analysis
  • AI-driven medical image analysis (MRI, CT,…)
  • Image segmentation, registration, and reconstruction
  • Computer-aided diagnosis and clinical decision support systems
  • Multimodal learning combining imaging and omics data
  • Explainable AI in biomedical applications
  • Data standardization, annotation, and interoperability in biomedical datasets
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026

2. Robust and Edge-Intelligent AI for Wearable Biomedical Signal Analytics and Digital Health (WBSADH)

Special Session Organizers:
Objectives and topics:

The integration of wearable sensors and remote monitoring is reshaping healthcare by enabling the continuous acquisition of signals like ECG, PPG, and EEG. However, translating these signals into clinical insights is hindered by environmental interference, sensor drift, and device heterogeneity.

This special session aims to promote research that combines principled signal processing with modern machine learning (Transformers, multimodal fusion) to create robust digital health solutions. The objectives include fostering practical edge deployment solutions and addressing critical issues such as privacy, interpretability, and clinical reliability. By providing a platform for interdisciplinary collaboration, the session seeks to accelerate innovations suitable for resource-constrained and socially impactful deployments.

What Makes This Session Special:
  • Focus on Robustness: Emphasis on algorithms and systems that are dependable in real-world settings despite motion artifacts and noise.
  • Edge & TinyML Integration: Highlighting embedded intelligence (TinyML) and energy-constrained inference for wearable devices.
  • Advanced Learning Paradigms: Exploration of self-supervised learning, federated learning for privacy, and multimodal fusion (e.g., ECG + PPG).
  • Interdisciplinary Bridge: Bringing together researchers from ECE, CSE, and biomedical engineering to power next-generation telemedicine.
  • Clinical Relevance: A strong focus on clinically meaningful validation protocols and fairness across demographics.
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026

3. Quantum-Inspired AI and Cloud-Edge Intelligence for Next-Generation Digital Systems (QCNGDS)

Special Session Organizers:
Objectives and topics:

The accelerated development of the Artificial Intelligence and cloud computing technologies is changing digital infrastructure and smart applications in different fields. Nevertheless, classical computing methods tend to be limited by large scale optimization problems, complex data analytics and computationally intensive machine learning models. New paradigms like quantum-inspired algorithms and hybrid cloud-edge intelligence are likely to prove critical towards solving such challenges.

Quantum-inspired artificial intelligence proposes new computational methods that implement quantum computing behavior principles to enhance optimization, machine learning capabilities, and multidimensional decision-making. Simultaneously, the convergence of cloud computing, edge computing and intelligent data systems makes it possible to have scalable and distributed AI solutions that process large data streams in real time.

The proposed special session will gather the researchers and practitioners that focus on quantum-inspired AI, intelligent cloud infrastructures, and hybrid computing models. It will discuss the new methods that combine AI algorithms with new computing architectures to solve problems in optimization, data analytics, intelligent automation, and large scale distributed systems.

Even though ICTA has tracks on artificial intelligence and intelligent system, it does not yet have a special emphasis on quantum-inspired computing, cloud-edge intelligence, and hybrid architectures of AI. This special session will thus give a special opportunity to debate on emerging computational paradigms that are the next generation of intelligent digital systems.

The meeting will promote interdisciplinary research efforts by the artificial intelligence, cloud computing, optimization, and emergent computing technology researchers to develop intelligent, scalable, and efficient computer infrastructures.

What Makes This Session Special:
  • Focus on Quantum-Inspired Artificial Intelligence and Quantum Machine Learning for intelligent systems.
  • Exploration of Cloud-Edge-Quantum hybrid architectures for scalable AI deployment.
  • Integration of optimization algorithms, intelligent cloud scheduling, and AI acceleration techniques.
  • Discussion of future computing paradigms beyond classical AI frameworks.
  • Encourages interdisciplinary research connecting AI, cloud computing, quantum technologies, and intelligent digital systems.
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026

4. Next-Generation AIoT, 6G, and Edge Intelligence (NGAIoT)

Special Session Organizers:
  • Prof. (Dr.) Anand Nayyar (anandnayyar@duytan.edu.vn), Professor, Scientist, Vice-Chairman (Research) and Director (IoT and Intelligent Systems Lab), School of Computer Science and Artificial Intelligence (SCA), Duy Tan University, Da Nang, Viet Nam.
  • Dr. Tae-Kyung Kim (kimtk@chungbuk.ac.kr), Assistant Professor, Department of Management Information Systems, Director, K- International Student Center (RISE Project), Vice-Director (Startup Foundation), Director (Startup Incubation Center, G-Center Venture) and Director (Convergence Technology Institute), Chungbuk National University, South Korea.
Objectives and topics:
  • Facilitate Interdisciplinary Innovation: To provide a premier platform for researchers, engineers, and industry professionals to exchange ideas and present the latest advancements at the intersection of AIoT, 6G networks, and edge computing.
  • Address Deployment Challenges: To identify and tackle fundamental roadblocks in deploying robust, scalable, and energy-efficient machine learning algorithms on resource-constrained edge devices and distributed networks.
  • Design Future Architectures: To foster the development of novel network architectures, intelligent protocols, and communication paradigms (such as semantic communications) that leverage 6G capabilities for real-time, mission-critical AIoT applications.
We welcome paper submissions on all related topics, including but not limited to:
  • Federated Learning, Split Learning, and Decentralized AI over 6G Networks
  • Edge-Native AI Architectures and Dynamic Resource Allocation
  • Integrated Sensing and Communications (ISAC) for Intelligent IoT Systems
  • Ultra-Reliable Low-Latency Communications (URLLC) for Real-Time Edge Control
  • Energy-Efficient and “Green AI” Models for Resource-Constrained Devices
  • AI-Driven Network Slicing and Dynamic Spectrum Management in 6G
  • Security, Privacy, and Trust Frameworks in Decentralized Edge AI
  • Swarm Intelligence and Multi-Agent Reinforcement Learning at the Edge
  • Semantic Communications and Goal-Oriented Data Transmission for AIoT
  • Hardware-Software Co-Design and Accelerators for Edge AI
  • Digital Twins and Metaverse Applications Powered by 6G and Edge Intelligence
  • Optimization of Large Language Models (LLMs) and Foundation Models for Edge Deployment
  • Transformative AIoT Applications in Autonomous Vehicles, Smart Healthcare, and Industry 5.0
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026

5. Agentic VLMs for Smart Cities: Trustworthy and Scalable AI (AVLMSC)

Special Session Organizers:
  • Prof. (Dr.) Surjeet Dalal (sdalal@ggn.amity.edu), Department of Computer Science and Engineering, Amity University Haryana, Gurugram, India
  • Dr. Ashima Narang (anarang@ggn.amity.edu), Department of Computer Science and Engineering, Amity University Haryana, Gurugram, India
Objectives and topics:

This session aims to fill this gap by providing a dedicated platform for interdisciplinary research on:

  • Agentic AI frameworks for VLMs
  • Multimodal fusion of vision, language, and sensor data
  • Edge-AI-enabled smart infrastructure
  • Trustworthy and explainable VLM systems
  • Scalable AI architectures for urban ecosystems

The session will bring together researchers, practitioners, and industry experts to discuss cutting-edge advancements and real-world deployments. It will also promote collaboration across domains, enabling the development of robust, ethical, and scalable AI solutions for future smart environments.

What Makes This Session Special:
  • Focuses on Agentic Visual Language Models (VLMs) integrating vision, language, and decision-making
  • Bridges Smart Cities, Digital Society, and Intelligent Infrastructure in a unified AI framework
  • Emphasizes trustworthy AI (XAI, fairness, robustness, privacy-preserving VLMs)
  • Covers real-time deployment challenges (edge AI, IoT integration, scalability)
  • Encourages multi-modal intelligence for applications like surveillance, traffic systems, healthcare, and governance
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026

6. Cybersecurity & IoT Security for Digital Transformation (CSIoTDS)

Special Session Organizers:
Objectives and topics:

As digital transformation continues to reshape industries, economies, and societies, ensuring robust and resilient cybersecurity has become a critical priority. This special session invites researchers, practitioners, and experts to present innovative ideas, theoretical advancements, and practical solutions addressing cybersecurity challenges in next-generation digital infrastructures.

In particular, the session emphasizes emerging directions in network security, IoT and cyber-physical system security, and blockchain and distributed ledger security. Topics of interest include, but are not limited to, secure network architectures, intrusion detection and prevention, zero-trust networking, and resilience against advanced persistent threats. For IoT ecosystems, we encourage contributions on lightweight security mechanisms, edge and fog security, device authentication, data integrity, and privacy-preserving frameworks for large-scale, heterogeneous deployments. In the context of blockchain, we welcome research on secure consensus mechanisms, smart contract security, decentralized identity, privacy-enhancing technologies, and the integration of blockchain with IoT and edge computing environments.

We seek high-quality, original submissions that address both foundational theories and applied solutions, particularly those leveraging emerging technologies such as artificial intelligence, edge computing, and 5G/6G networks to enable secure, trustworthy, and scalable digital transformation. Contributions that bridge the gap between research and real-world deployment, as well as interdisciplinary approaches, are especially encouraged.

What Makes This Session Special:
  • Cyber Security, Intrusion Detection, and Secure Protocols
  • Software-Defined Networking (SDN) Security
  • Cryptography and Secure Communication
  • Blockchain and Distributed Ledger Security
  • Data Hiding, Steganography, and Digital Watermarking
  • Privacy-Preserving Mechanisms and Secure Data Sharing
  • Security for IoT, Cloud, and Edge Computing Environments
  • Trust, Identity Management, and Access Control in Digital Ecosystems
  • Cybersecurity Frameworks and Architectures for Digital Transformation
Important dates
  • Paper Submission Deadline: June 30, 2026 (Extended to July 15, 2026)
  • Notification of Acceptance: August 20, 2026
  •  Camera-Ready Submission: August 30, 2026
  • Conference Dates: November 27–28, 2026