Special Sessions

Dr. Adil Marouan
Université Mohammed Premier, Oujda — LaMAO Laboratory
Morocco
Email: adil.marouan@ump.ac.ma

Brief Scope:

This session will explore recent advances in secure electronic voting and trusted digital systems, with a focus on blockchain architectures, hybrid cryptographic schemes (ECDSA, EdDSA, BLS), AI-driven biometric authentication, and FPGA-based hardware acceleration. It will bring together contributions addressing scalability, privacy, offline resilience, and real-world deployments of decentralized voting frameworks, particularly in educational and institutional contexts.

Topics of Interest

Mehdi Mehrpooya
School of Energy Engineering and Sustainable Resources
College of Interdisciplinary Science and Technology
University of Tehran
Google h-index: 85
Email: xx@icc27.org
Contact: +989022986861

Brief Scope:

The transition toward sustainable energy requires not only advanced energy conversion technologies but also intelligent, data-driven approaches for system design, monitoring, optimization, and decision-making. The rapid development of artificial intelligence (AI), the Internet of Things (IoT), big data analytics, cloud computing, and digital twins is transforming renewable energy systems, hydrogen technologies, thermal energy storage, carbon capture, and integrated energy infrastructures.
This special session aims to bring together researchers working at the interface of sustainable energy engineering and digital technologies. Contributions are invited on the application of AI, machine learning, IoT, cloud computing, and advanced data analytics to improve the efficiency, reliability, resilience, and economic performance of renewable energy systems, hydrogen production and storage, electrochemical energy conversion devices, multigeneration systems, and carbon-neutral energy technologies.

Topics of Interest

Dr. S. Kannimuthu ME., PhD Senior Member IEEE
Professor, Department of CSE
Karpagam College of Engineering, Coimbatore-641 032.
Email: drkannimuthu@gmail.com
Contact: +91-9994090779, 8838941811

Brief Scope:

This session explores the convergence of Generative AI, Quantum Machine Learning, and cloud analytics to solve the complexities of modern IoT ecosystems. It focuses on transforming massive data streams into secure, autonomous, and actionable outcomes across various industries.
We welcome theoretical and practical research covering: large language models (LLMs) and Agentic AI for edge computing; quantum-enhanced analytics for industrial datasets; explainable AI and digital twins for smart healthcare; blockchain and hybrid ML for cyber threat mitigation; and AI-driven optimization for smart manufacturing and logistics.

Topics of Interest

Dr. Mohammed Nasereddin
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITiS PAN).
Poland
Email: mnasereddin@iitis.pl

Brief Scope:

This special session explores the critical intersection of advanced machine learning and cybersecurity within modern connected infrastructures. It focuses on the deployment of Artificial Intelligence and Machine Learning for robust intrusion detection, alongside comprehensive security, privacy, and trust management strategies across IoT, edge, and cloud environments. Furthermore, the session addresses the proactive detection and mitigation of emerging cyber threats—including DDoS and botnet attacks—while fostering the development of resilient architectures, secure communications, and trust-based decision-making frameworks essential for the next generation of smart IoT applications.

Topics of Interest

Dr. Muhammed Akif AĞCA
Computer Engineering Department, TOBB University of Economics and Technology (TOBB ETÜ), Ankara.
Turkey
Email: akif.agca@etu.edu.tr
Contact: +90 533 9 683 683

Brief Scope:

Increasing number of nodes and diversity of components in growing intelligent systems require; Dynamic holistic views of observed context, trusted scalable system/data models to ensure (near) real- time functionalities. Trust factor coefficient based dynamic holistic views enable to manage edge nodes and enable to build end-to-end holistic abstractions for the dynamic requirements of the use-case domains of trusted AI systems. Software driven hardware designs are explored in this study with with trust factor coefficient based accelerated product line mechanisms to support (near) real-time massive production of growing intelligent systems with maximized trust valıes of each node and total system as well.

Topics of Interest

Dr. Alam Noor
Applied Researcher & Technical Lead (Computer Vision and AI), Speedbird Aero Europe.
Integrated Researcher, CISTER Research Center, Porto.
Portugal
Email: alamn@isep.ipp.pt / eng.alamnoor@gmail.com
Contact: +351-920-234-701

Brief Scope:

Deploying high-throughput, computationally heavy computer vision and deep learning models onto resource-constrained embedded edge electronics remains a primary frontier in modern artificial intelligence. This special session focuses on cutting-edge scientific methods and industrial applications bridging foundational deep learning algorithms with physical, real-time vision processing. We invite high-quality submissions exploring innovative hardware-aware frameworks, optimization techniques, and novel processing paradigms. Topics of interest include, but are not limited to:

Topics of Interest

Dr. Faouzi Jaidi, Eng. MSc. PhD. HDR
1. Innov'COM / Digital Security Research Lab, Higher School of Communications of Tunis, University of Carthage, Tunisia
2. National School of Engineers of Carthage, University of Carthage, Tunisia
Email: faouzi.jaidi@supcom.tn

Dr. Sondes Ksibi, PhD
Innov'COM / Digital Security Research Lab, Higher School of Communications of Tunis, University of Carthage, Tunisia
Email: sondes.ksibi@supcom.tn

Brief Scope:

The rapid evolution of digital technologies has transformed the way organizations, governments, and individuals operate, while simultaneously increasing the complexity and sophistication of cyber threats. Emerging technologies offer unprecedented opportunities to strengthen cybersecurity through intelligent, adaptive, and resilient security solutions capable of protecting critical infrastructures, digital ecosystems, and connected environments.
This special session aims to bring together researchers, academics, industry experts, and practitioners to present and discuss the latest advances in emerging technologies that enhance cybersecurity. It provides a multidisciplinary forum for exchanging innovative ideas, research findings, practical experiences, and novel applications addressing current and future cybersecurity challenges.
The session welcomes original research contributions, case studies, and industrial applications focusing on cutting-edge technologies that improve cyber defense, threat detection, privacy preservation, risk management, and cyber resilience. Particular emphasis will be placed on intelligent and data-driven security solutions, secure digital transformation, and the protection of next-generation computing and communication systems.

Topics of Interest

Mr. Bendada Ahmed Mounsf Rafik, Research engineer
Lamih - University Polytechnic Hauts-De-France.
France
Email: ahmed.bendada@uphf.fr
Contact: +33620153514

Brief Scope:

The rapid convergence of distributed systems, decentralized learning, and blockchain-based infrastructures is reshaping how data is stored, processed, and trusted across the digital landscape. As Web3 and Distributed Ledger Technologies (DLTs) mature, new paradigms are emerging that combine distributed storage and computation with machine learning at the edge, enabling scalable, resilient, and privacy-preserving applications. At the same time, these decentralized architectures raise fundamental challenges related to security, privacy, data integrity, scalability, interoperability, and governance.
This special session aims to bring together researchers and practitioners from academia and industry to present recent advances, novel architectures, and practical experiences at the intersection of distributed systems and decentralized technologies. We welcome contributions covering theoretical foundations, system design, experimental evaluations, and real-world deployments.
Topics of interest include, but are not limited to:.

Topics of Interest

Instructor MALAKIT L. RAM
Southern Leyte State University - Main Campus, Southern Leyte.
Philippines
Email: mram@ieee.org
Contact/ICC27: +447449702540

Brief Scope:

This special session aims to bring together researchers, practitioners, and industry experts to present recent advances in trustworthy machine learning and intelligent data analytics. The session welcomes original research on explainable artificial intelligence, ensemble learning, predictive modeling, deep learning, computer vision, natural language processing, time-series forecasting, optimization, and intelligent decision support systems. We encourage interdisciplinary contributions that demonstrate innovative AI solutions for cybersecurity, healthcare, agriculture, education, smart cities, environmental monitoring, industrial automation, and other real-world applications. The session seeks to foster discussions on the development of robust, interpretable, and scalable AI techniques that address contemporary challenges across diverse domains.

Topics of Interest

Assistant Professor Qingsu Cheng, Ph.D.
Department of Biomedical Engineering, University of Wisconsin-Milwaukee.
USA
Email: chengq@uwm.edu
Contact: (414) 251-8576

Brief Scope:

The transition to Industry 5.0 requires intelligent automation within complex biological manufacturing and research environments. This session bridges the gap between cloud infrastructure, edge computing, and biomedical engineering. It aims to gather research on deploying lightweight artificial intelligence for automated laboratory bioprocessing, smart diagnostic quantification, and data-driven approaches to scaling complex biological ecosystems.

Topics of Interest

Dr. Saddaf Rubab, PhD, Senior Member IEEE
Department of Computer Engineering, College of Computing and Informatics, University of Sharjah.
United Arab Emirates
Email: srubab@ieee.org or srubab@sharjah.ac.ae
Contact: +971 56 862 9413

Brief Scope:

Recent advances in machine learning and foundation models have transformed Internet of Things (IoT), edge computing, and cyber-physical systems by enabling intelligent decision-making across a wide range of applications. However, challenges related to explainability, trustworthiness, security, robustness, fairness, privacy, and regulatory compliance continue to obstruct the adoption of AI in safety and mission critical environments.
The special session on XTS-AI 2027 provides a forum for researchers and practitioners to present recent advances in AI methods that are transparent, reliable, secure, and accountable. Beyond improving predictive performance, the session emphasizes approaches that enable AI models to be understood, validated, and trusted while remaining resilient against evolving cyber threats in intelligent IoT ecosystems.
The session welcomes original research on Explainable AI (XAI), Trustworthy AI, privacy-preserving and secure AI, federated learning, edge intelligence, adversarial machine learning, causal reasoning, uncertainty-aware learning, AI governance, and resilient intelligent systems. Contributions addressing the design, deployment, evaluation, and real-world adoption of human-centred AI solutions for dynamic, resource-constrained, and security-sensitive environments are particularly encouraged.

Topics of Interest

Associate professor Xu Fang
National University of Defense Technology
China
Email: fxxu2026@nudt.edu.cn

Brief Scope:

This special session explores the convergence of IoT sensing, cloud/edge computing, and data-driven AI to accelerate the transition toward intelligent, low-carbon energy systems. As renewable penetration deepens and distributed energy resources (DERs) proliferate, traditional cloud-only architectures struggle with latency, bandwidth, privacy, and scalability.
This session invites original contributions that address the full stack—from energy-aware IoT device design and secure data streaming, to hybrid cloud-edge orchestration and digital twin deployment, to online learning and model-predictive control for grid flexibility. Particular emphasis is placed on federated learning for privacy-preserving consumer analytics, differentiable optimization embedded in cloud-native solvers, and human-in-the-loop frameworks that translate complex forecasts into actionable operator and prosumer decisions.
We welcome case studies on virtual power plants, EV smart charging, building-to-grid integration, and extreme-event resilience, as well as theoretical advances in distributed optimization, communication-efficient AI, and trustworthy data marketplaces. The goal is to bridge academic innovation with industrial deployment, identifying scalable, secure, and equitable pathways for next-generation energy digitalization.

Topics of Interest

Associate Professor Elyas Palantei, Ph.D
Center of Excellence for Applied Intelligence Technologies(CEAIT)
Department of Electrical Engineering (DoE)
Faculty of Engineering (FoE)
Universitas Hasanuddin (UNHAS)
South Sulawesi, INDONESIA
Email: elyas_palantei@unhas.ac.id

Brief Scope:

In the modern tech ecosystem, the computing continuum unifies IoT devices, local edge networks, and remote cloud centers into a single, seamless infrastructure. By leveraging 5G/6G wireless, AI orchestration, and virtualization, data and processing tasks flow transparently across devices based on latency, power, and computational needs. Wireless computing drives this continuum by bridging the physical gap between hardware, local networks, and remote servers across three main layers such as the endpoint/IoT layer (data collection), the edge layer (local processing) and the cloud layer (central storage & analysis). Critical technical problems emerged throughout the wireless computing continuum—the seamless integration of IoT devices, edge/ fog computing and centralized clouds—due to the colliding demands of continuous user mobility, highly heterogeneous hardware, and the physical limitations of wireless transmission.

Topics of Interest

Assistant Professor in Finance. Alessio Faccia, PhD, MBA, LLM, CA, Auditor
University of Birmingham Dubai
Department of Finance – Business School
United Arab Emirates
Email: a.faccia@bham.ac.uk

Brief Scope:

Artificial Intelligence is transforming financial services, auditing, regulatory technology, enterprise risk management, digital governance, and decision support across both public and private sectors. Growing regulatory expectations require AI systems which are transparent, explainable, secure, auditable, and compliant with international standards.
This special session welcomes original research addressing:

Topics of Interest

Professor and Researcher in Computer Science and Artificial Intelligence
Ibtissam Essadik, Ph.D.
Private University of Marrakesh (UPM)
Ibn Tofail University (UIT)
Morocco
Email: ibtissam.essadik@uit.ac.ma

Brief Scope:

Recent advances in Artificial Intelligence (AI) are transforming healthcare by enabling intelligent, connected, and data-driven healthcare ecosystems. Technologies such as Machine Learning, Deep Learning, Generative AI, Computer Vision, Natural Language Processing (NLP), the Internet of Things (IoT), Cloud Computing, and Explainable AI (XAI) are driving innovations in disease diagnosis, medical image analysis, clinical decision support, personalized medicine, remote patient monitoring, and healthcare management. These technologies are improving healthcare quality while creating new opportunities for scalable, secure, and patient-centered solutions.

This special session aims to bring together researchers, practitioners, and industry experts to present the latest advances in intelligent healthcare systems. The session welcomes original research on novel algorithms, intelligent frameworks, and real-world applications that leverage AI-driven technologies to address current healthcare challenges. It encourages interdisciplinary contributions that integrate data-driven intelligence with connected healthcare infrastructures to improve clinical decision-making, operational efficiency, and patient outcomes.

Topics of Interest

Associate Professor (AI in Finance and FinTech). Anandadeep Mandal (PhD)
Birmingham Business School, University of Birmingham
United Kingdom
Email: a.mandal@bham.ac.uk
Office: +44 (0) 1214149211 | Mobile: +44 (0) 7405317234

Brief Scope:

This Special Session will examine how advances in cloud computing, data science, IoT-enabled systems and agentic AI can support trustworthy, explainable and responsible decision-making across finance, public services and smart digital infrastructures. Particular emphasis will be placed on how intelligent cloud and data infrastructures can improve transparency, inclusion, resilience and accountability in complex organisational and societal settings.

Topics of Interest

Associate Professor (AI in Finance and FinTech). Anandadeep Mandal (PhD)
Birmingham Business School, University of Birmingham
United Kingdom
Email: a.mandal@bham.ac.uk
Office: +44 (0) 1214149211 | Mobile: +44 (0) 7405317234

Brief Scope:

This Special Session will examine how advances in cloud computing, data science, IoT-enabled systems and agentic AI can support trustworthy, explainable and responsible decision-making across finance, public services and smart digital infrastructures. Particular emphasis will be placed on how intelligent cloud and data infrastructures can improve transparency, inclusion, resilience and accountability in complex organisational and societal settings.

Topics of Interest

Professor & Head of M.Sc. DevOps & Cloud Computing (Mgmt). Prof.Dr.rer.nat. Tianxiang Lu, Senior Fellow HEA
IT & Engineering, IU International University of Applied Sciences
Germany
Email: tianxiang.lu@iu.org
Address: Juri-Gagarin-Ring 152 · 99084 Erfurt | Website: www.iu.org

Brief Scope:

The rapid adoption of artificial intelligence in software-intensive systems introduces new challenges in building, deploying, and operating reliable, secure, and trustworthy AI solutions. This special session focuses on engineering approaches that enable trustworthy AI throughout the entire lifecycle, from model development and validation to continuous deployment and operation in modern DevOps and cloud environments.
The session invites researchers and practitioners to explore the integration of AI engineering, MLOps/LLMOps, cloud-native architectures, DevSecOps practices, and automated assurance techniques. Contributions addressing reliability, security, transparency, governance, monitoring, and verification of AI-enabled systems are particularly encouraged.

Topics of Interest

Assistant Professor. Dr. Dhaval J. Thaker, Ph.D.
School of Information Technology, AURO University
Surat, Gujarat, India
Email: dhaval.thaker@aurouniversity.edu.in

Brief Scope:

The rapid advancement of Generative Artificial Intelligence (GenAI) and Agentic AI is transforming the landscape of intelligent systems by enabling autonomous reasoning, adaptive decision-making, and human–AI collaboration across diverse domains. While Generative AI has revolutionized content generation, multimodal intelligence, and knowledge synthesis through large foundation models, Agentic AI extends these capabilities by empowering intelligent agents to autonomously plan, execute, monitor, and optimize complex tasks in dynamic and uncertain environments.
The rapid advancement of Generative Artificial Intelligence (GenAI) and Agentic AI is transforming the landscape of intelligent systems by enabling autonomous reasoning, adaptive decision-making, and human–AI collaboration across diverse domains. While Generative AI has revolutionized content generation, multimodal intelligence, and knowledge synthesis through large foundation models, Agentic AI extends these capabilities by empowering intelligent agents to autonomously plan, execute, monitor, and optimize complex tasks in dynamic and uncertain environments.
The session also welcomes contributions addressing critical challenges related to explainability, trustworthiness, AI governance, privacy, security, bias mitigation, ethical AI, regulatory compliance, sustainability, and the responsible deployment of autonomous AI systems. By bringing together multidisciplinary perspectives from academia and industry, the session aims to identify future research directions and promote the development of reliable, human-centric, and trustworthy AI technologies for next-generation intelligent computing and communication systems.

Topics of Interest

Dr. Nataraju Alilughatta Basavaraju
Department of Electronics and Communication Engineering, Acharya Institute of Technology
Bengaluru, India
Email: nataraju.ab@gmail.com
Phone: +91-98455-95744

Brief Scope:

This special session focuses on recent advances in next-generation wired and wireless communication technologies, including 5G, Beyond 5G (B5G), 6G, Wi-Fi 6/6E/7, software-defined networking, optical backbone networks, and intelligent communication infrastructures. The session aims to bring together researchers and industry experts to discuss innovative communication architectures, AI-driven network management, network security, edge intelligence, and emerging applications that enable high-speed, reliable, and sustainable connectivity for smart cities, Industry 4.0, healthcare, transportation, and beyond.

Topics of Interest

Ali Berkol, Ph.D., Engineering Director
ULAK Communications Inc.
Ankara, Türkiye
Email: ali.berkol@yahoo.com

Brief Scope:

Artificial Intelligence is fundamentally transforming the design philosophy of connected systems. Rather than being incorporated as an additional software capability, AI is increasingly becoming a native intelligence layer that enables systems to perceive, reason, learn, adapt, and make autonomous decisions throughout their lifecycle. This paradigm shift is driving the evolution of AI-native connected systems that seamlessly integrate edge intelligence, cloud computing, advanced communication networks, and cyber-physical infrastructures.
This Special Session aims to bring together researchers, practitioners, and industry experts to present the latest advances in AI-native architectures, intelligent edge computing, distributed intelligence, and autonomous decision-making for next-generation connected systems. The session welcomes contributions addressing intelligent IoT, 5G/6G-enabled networks, cyber-physical systems, digital twins, federated learning, trustworthy AI, explainable AI, agentic AI, autonomous platforms, and mission-critical applications across domains such as smart cities, industrial automation, healthcare, aerospace, and defense.
By fostering interdisciplinary collaboration between artificial intelligence, communication technologies, edge-cloud computing, and intelligent cyber-physical systems, this session seeks to explore emerging research directions and innovative engineering solutions that will shape the future of resilient, adaptive, and AI-native connected ecosystems.

Topics of Interest

Wassim Alexan, PhD, DBA
Associate Professor of Electrical Engineering and Information Technology
Department of Communications
Faculty of Information Engineering and Technology
Email: wassim.joseph@guc.edu.eg

Brief Scope:

This special session focuses on protecting visual and audiovisual data (images, video, and multimodal streams) across modern platforms such as cloud services, telemedicine, IoT/edge devices, and surveillance systems. Emphasis is placed on practical security and privacy mechanisms: encryption, selective protection, access control, integrity, and rights management, as supported by rigorous evaluation and deployable implementations. The session welcomes works that leverage advanced mathematical constructs (e.g., chaos/hyperchaos, cellular automata), classical and modern cryptography, and hardware–software co-design to achieve strong confidentiality and privacy with high throughput and low resource cost.

Topics of Interest

Dr. Naved Alam
Assistant Professor
Department of Computer Science and Engineering
School of Engineering Sciences and Technology
Jamia Hamdard, New Delhi
Email: navedalam@jamiahamdard.ac.in
Phone: +91-8448536053

Brief Scope:

This special session will focus on recent advances in AI-enabled Internet of Medical Things, edge intelligence, wearable and embedded healthcare systems, biomedical signal and image processing, intelligent sensing, cloud-assisted healthcare platforms, and secure real-time medical data analytics. The session aims to bring together researchers, academicians, engineers, and industry professionals.

Topics of Interest

Tanuj Surve
University of California, Berkeley
Galgotias University
National Institute of Fashion Technology
USA
Email: tanujsurve@gmail.com

Brief Scope:

The aim of this special session is to explore the emerging paradigms, architectures, and applications shaping next-generation digital financial infrastructure through stablecoins, tokenization, and programmable finance. As digital assets become increasingly integrated into payment systems, capital markets, and institutional finance, this session seeks to bring together researchers, industry practitioners, and policymakers to examine the technological, economic, and regulatory challenges associated with building secure, scalable, and interoperable financial ecosystems. The session focuses on advancing research in stablecoin design, tokenization of real-world assets (RWAs), digital securities, programmable financial services, AI-enabled financial applications, and cloud-native financial infrastructure, while addressing critical issues related to security, privacy, governance, compliance, and interoperability. It aims to foster interdisciplinary collaboration and identify innovative solutions that support the evolution of resilient, intelligent, and data-driven financial systems.

Topics of Interest

Dr Vasaki Ponnusamy
Ajman University
United Arab Emirates
Email: vasaki.ponnusamy@gmail.com

Brief Scope:

Enhancement in wireless networks has given users the ability to use the Internet without the need of physical connection to the router in order to access the Internet. Almost every Internet of Things (IoT) device such as smartphones, drones and cameras use wireless technology (Infrared, Bluetooth, IrDA, IEEE 802.11 etc.) to establish multiple types of connections between each other at once. With the flexibility of wireless networks, we are able to set up networks that have hundreds to thousands of users, increasing the productivity and profitability in a large margin. This has greatly increased the advancement in IoT networks whereby devices can be connected anywhere. However, the number of network attacks in wireless networks is very alarming. This has become a major setback in IoT networks as IoT networks are very sensitive to attacks. Cyber-attacks are also getting sophisticated with the passage of time and cybersecurity threats are evolving continuously. Vulnerabilities can be exploited by skilled hackers or performing well-crafted social engineering techniques. Breach in cyber security has had massive repercussions in the past in terms of business, liability, reputation staining, customer confidence and productivity. Due to the fast growth of Cybersecurity and AI, interesting commercial applications of AI have emerged especially towards Autonomous IoT, Autonomous Vehicles (AV), Smart Cities and Smart homes. Therefore, AI has witnessed significant deployment and research activities in the cybersecurity domain in IoT and AV. This special session aims to bring together researchers working at Artificial Intelligence, Cybersecurity, IoT and AV. Contributions are invited on the application of AI in cybersecurity and IoT, AV digital trust and privacy, Intelligent Systems in IoT, Digital Trust, Safety and Privacy policies and frameworks.

Topics of Interest

Prof. Seyed Ali Mousavi
School of Mechanical Engineering
Shiraz University, Shiraz, Iran
Email: alimousavi74@saadi.shirazu.ac.ir
Contact: +989128115091

Brief Scope:

The rapid integration of artificial intelligence into energy systems is transforming the way renewable generation, storage, grid operation, and energy-efficient infrastructure are designed and managed. At the same time, Life Cycle Assessment (LCA) provides a rigorous framework for evaluating the environmental impacts of these technologies across their entire life cycle, from raw material extraction and manufacturing to operation and end-of-life.
This special session focuses on the intersection of AI, energy systems, and LCA, highlighting how machine learning and data-driven optimization can improve sustainable energy planning, while LCA can be used to assess and guide the environmental performance of AI-enabled solutions. We welcome original research papers, case studies, and practical demonstrations that address energy efficiency, carbon reduction, and environmentally responsible AI applications in the energy domain.

Topics of Interest

Vigneshwar Manoharan
Anna University RC Coimbatore, India
Email: TBA
Contact: +918072619369

Brief Scope:

The rapid convergence of Generative Artificial Intelligence (GenAI), Agentic Artificial Intelligence (Agentic AI), Deep Learning, Machine Learning, and multimodal biomedical data analytics is transforming modern precision medicine and intelligent healthcare. Recent advances in large language models (LLMs), multimodal foundation models, autonomous AI agents, and explainable artificial intelligence have created unprecedented opportunities for integrating heterogeneous biomedical information including genomic sequences (DNA), transcriptomics, proteomics, medical imaging, electronic health records (EHRs), wearable Internet of Things (IoT) sensors, and clinical decision support systems into unified intelligent healthcare platforms.
The increasing availability of large-scale biomedical datasets presents significant challenges in data integration, feature representation, computational scalability, interpretability, privacy preservation, and clinical deployment. Conventional machine learning approaches often process individual data modalities independently, limiting their ability to capture the complex molecular and physiological interactions underlying diseases. Recent developments in Generative AI provide powerful mechanisms for synthetic biomedical data generation, multimodal representation learning, missing-data imputation, molecular simulation, drug discovery, and foundation model adaptation. Simultaneously, Agentic AI introduces autonomous reasoning, planning, collaboration, continuous learning, and adaptive decision-making capabilities that enable intelligent healthcare agents capable of supporting clinicians throughout diagnosis, prognosis, treatment planning, patient monitoring, and personalized healthcare management.
This special session aims to bring together researchers, clinicians, industry practitioners, and healthcare innovators working at the intersection of Artificial Intelligence, Computational Biology, Medical Imaging, Bioinformatics, Digital Health, and Precision Medicine. The session will focus on next-generation AI architectures capable of jointly analysing genomic biomarkers, protein expression profiles, multimodal medical images (MRI, CT, PET, Ultrasound, Histopathology, X-ray), clinical records, and real-time IoT sensor data using advanced deep learning, transformer architectures, graph neural networks, foundation models, reinforcement learning, federated learning, explainable AI, and autonomous multi-agent systems.
Particular emphasis will be placed on AI systems for the early detection, diagnosis, prognosis, and personalized treatment of complex diseases including Alzheimer's disease, Parkinson's disease, cancer, cardiovascular disorders, diabetes, neurological disorders, rare genetic diseases, and infectious diseases. The session also welcomes contributions addressing trustworthy AI, explainability, fairness, privacy-preserving learning, regulatory compliance, digital twins, quantum-enhanced AI, cloud-edge healthcare computing, and real-world clinical deployment.
The special session seeks original contributions presenting novel algorithms, theoretical models, multimodal fusion frameworks, benchmark datasets, explainable decision-support systems, clinical validation studies, and practical healthcare applications that advance intelligent precision medicine. By integrating Generative AI, Agentic AI, DNA analysis, proteomics, and medical imaging, this session aims to establish a comprehensive interdisciplinary forum for discussing future directions in autonomous AI-driven healthcare and next-generation biomedical intelligence.

Topics of Interest