
Principal Engineer at Fidelity Investments with over 20 years of experience in software engineering, cloud architecture, and enterprise automation
Theme: “Artificial Intelligence and Cybersecurity: Building a Secure and Resilient Digital Future”
Browse the current session list forArtificial Intelligence and Cybersecurity (GCAIC 2026).
Exploring how AI and machine learning are transforming cybersecurity through intelligent threat detection, automated defense, anomaly identification, and predictive security solutions
Examining AI-powered approaches for identifying cyber threats, detecting suspicious activities, automating incident response, and strengthening real-time security operations
Examining AI-powered approaches for identifying cyber threats, detecting suspicious activities, automating incident response, and strengthening real-time security operations
Exploring machine learning techniques for analyzing cyber threat data, identifying attack patterns, predicting emerging threats, and improving threat intelligence capabilities.
Exploring AI-driven approaches to securing networks, cloud infrastructures, connected systems, and distributed digital environments against evolving cyber threats.
This session focuses on the cybersecurity challenges that may arise from advances in quantum computing. It examines the limitations of conventional cryptographic techniques and discusses post-quantum cryptography, cryptographic migration, quantum-resistant algorithms, and strategies for preparing organizations for a quantum-enabled future.
This session explores the use of artificial intelligence and machine learning to improve cybersecurity operations. It covers intelligent threat detection, behavioral analytics, anomaly detection, malware identification, automated incident response, and AI-assisted security monitoring.
Quantum machine learning combines concepts from quantum computing and artificial intelligence to investigate new approaches to complex computational problems. This session examines emerging quantum machine-learning techniques and their potential applications in cybersecurity, threat classification, optimization, and pattern recognition.
This session examines how AI can help organizations process large volumes of cybersecurity information and identify potential threats. Researchers can discuss intelligent threat intelligence platforms, automated information analysis, predictive techniques, and real-time security monitoring.
Generative AI is creating new opportunities as well as new security considerations. This session examines the cybersecurity implications of large language models and generative AI systems, including AI-generated content, model security, data privacy, prompt-related risks, and defensive applications.
This session explores the practical implementation of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, with a strong focus on cybersecurity and data protection. It will discuss how AI/ML can support clinical decision-making, medical diagnosis, patient monitoring, predictive analytics, and healthcare automation. The session will also examine cybersecurity challenges such as patient-data privacy, cyberattacks, model manipulation, adversarial threats, and secure AI deployment. Participants will gain insights into developing secure, reliable, ethical, and scalable AI/ML solutions for modern healthcare systems.
Exploring adversarial attacks, AI model vulnerabilities, data poisoning, evasion techniques, and strategies for developing robust and secure AI systems.
Examining AI-powered cybersecurity solutions for IoT devices, smart cities, industrial systems, healthcare technologies, and critical infrastructure.
Exploring the use of AI in digital forensics, cybercrime investigation, evidence analysis, malware detection, and identifying sophisticated cybercriminal activities
Discussing emerging trends, autonomous cyber defense, next-generation security technologies, AI-driven resilience, and the future of intelligent cybersecurity.
Explores the design and implementation of intelligent systems capable of adaptive decision-making. Topics include edge intelligence, cyber-physical systems, IoT-driven intelligence, robotics, and smart city technologies.
This session explores the rapidly developing intersection of quantum computing, artificial intelligence, and cybersecurity and its implications for the future of digital security. Quantum computing has the potential to transform computational capabilities while also creating new challenges for widely used cryptographic systems. At the same time, AI can support cybersecurity through intelligent threat detection, anomaly identification, automated security monitoring, and incident response.
The session will bring together researchers, academics, cybersecurity professionals, AI specialists, quantum computing experts, industry representatives, and students to discuss emerging technologies, security challenges, practical applications, and future research directions.
Applications of machine learning and AI for threat detection, malware analysis, network monitoring, anomaly detection, and automated cybersecurity operations.
Discussion of quantum-based approaches to secure communication, including principles, applications, implementation challenges, and limitations.
Emerging approaches that combine quantum computing with machine learning for optimization, classification, pattern recognition, and cybersecurity applications.
Research into protecting cloud platforms, networks, databases, and digital infrastructure against future quantum-enabled threats.
Emerging research opportunities involving quantum-safe AI, intelligent security systems, quantum-resistant infrastructure, and next-generation digital security.
This session explores how Artificial Intelligence is being implemented across modern healthcare systems to improve patient care, diagnosis, treatment, and clinical decision-making. It will highlight practical applications of AI in medical imaging, predictive analytics, personalized medicine, remote monitoring, and healthcare automation. The session will also discuss the challenges of data privacy, ethics, cybersecurity, and responsible AI adoption. Participants will gain insights into how AI can support healthcare professionals and contribute to more efficient, accessible, and patient-centered healthcare.
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Principal Engineer at Fidelity Investments with over 20 years of experience in software engineering, cloud architecture, and enterprise automation

Senior Lecturer in the Department of Computer Science, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman (UTAR), Malaysia

Dr. Sindhura Kannappan is an Assistant Professor at MEASI Institute of Management, Chennai, with expertise in Organisational Behaviour, Human Resource...

International AI and technology executive, entrepreneur, author, and founder of Argon AI Technologies (ARGONAIT), with senior leadership experience at IBM,...

Principal intelligence liaison and a senior executive at GreyNoise Intelligence, where he leads collaboration with global government and enterprise partners...

Principal Engineer with over 19 years of experience in architecting, designing, and delivering secure, scalable, and high-performance enterprise systems in...

Founder and architect of RAI Robotics Advanced Intelligence, an AI architecture for autonomous robots, including humanoids

Principal Engineer and Enterprise Architect specializing in modern software architecture, production engineering, cybersecurity, and cloud resilience

Master of Science in Applied Statistics and Decision Analytics from Western Illinois University

His professional and research interests focus on intelligent Quality Engineering, AI-assisted test automation, software reliability, policy administration systems, and emerging...

Artificial Intelligence and Predictive Analytics Researcher, IT Consultant, and Data Analyst currently pursuing a Doctor of Computer Science at the...

Her professional background includes enterprise workflow modernization, reporting automation, platform development, governance-focused system processes, and AI research

Assistant Professor (Senior Grade-III) at Amity Business School, Amity University Madhya Pradesh, India

He currently works at RR Donnelley (Austin, TX) and previously held a role as a Software Development Engineer at Amazon...


Associate Professor in the Department of Information Technology at Sri Venkateswara College of Engineering (SVCE), Sriperumbudur, Tamil Nadu

IEEE Senior Member and technology professional with over 18 years of experience in Software Quality Engineering, Data Validation, Cloud Computing,...

Technology Executive | Cybersecurity, Infrastructure, Cloud & AI Strategist | Executive Leader in Digital Defense and Enterprise Transformation

AI Engineer | Chair@ ACM Dallas | Author | Speaker | Claude Certified AI Architect

Technical Sciences and Professor at the Institute of New Materials and Technologies, Ural Federal University, Russia.

Anne Holappa, PhD, is a Visiting Scholar at the University of Turku specializing in Digital Culture. Her research is grounded...

Transformational Technology Executive with over 15 years of progressive experience in IT infrastructure engineering and more than a decade of...

PhD candidate and Graduate Research Assistant in Computer Science at Kennesaw State University

Prof (Dr) Ratnesh Dwivedi is a Seasoned and Award-Winning Media Academic from Russian Communication Association,Moscow


AR. Guru Gokul is a Post Graduate Engineer in Computer and Communication Engineering with a passion for teaching and exploring...


SAP S/4HANA, SAP EWM, OTC, P2P, Supply Chain Transformation, Warehouse Automation, System Integrations, Global ERP Rollouts, Localization & Compliance, AMS...

Senior AI and Software Engineer specializing in artificial intelligence, agentic AI, financial transaction security, fraud detection, and large-scale enterprise systems.

Senior Technical Architect specializing in cloud data platforms, AI-driven solutions, and enterprise technology architecture

Vice President @ CITI | Lead | Back-End Development | Generative AI for Development

Technology professional and researcher whose work focuses on artificial intelligence, machine learning, cloud-native computing, microservices, and intelligent data analytics

Assistant Professor in the Department of Artificial Intelligence and Data Science at Kongu Engineering College, Perundurai, Tamil Nadu, India

Assistant Professor and Head of Programme for the Master of Computer Science at the Faculty of Information and Communication Technology


r Stephen Mackay is an independent researcher, healthcare entrepreneur and strategy professional based in Melbourne, Victoria. He holds a Doctorate...

Senior Member of IEEE, Ankur also contributes to the technology community through technical publications, peer reviewing, judging, mentoring, and professional...

Dr. P.J. Arul Leena Rose is Professor & Head, Department of Computer Applications, SRM Institute of Science and Technology, Kattankulathur,...

He is also actively engaged in professional and scholarly activities involving artificial intelligence, cloud computing, cybersecurity, DevSecOps, and reliability engineering.

Dr. Guillermo A. Francia III is a Professor and Director of Research and Innovation at the University of West Florida...

His professional achievements have been recognized with the Google "Tech. Impact" award and the Walmart eCommerce 'Make a Difference' award.

He specializes in designing and delivering robust integration architectures using Microsoft Azure, APIs, and microservices

His portfolio includes architecting AI-driven platforms such as Gene.AI, building intelligent customer analytics frameworks, leading large-scale cloud modernization programs, and...

Professor and Head of the Department of Computer Science and Applications at School of Computing Science & Engineering, IILM University...

Led analytics-driven funnel optimization and A/B experimentation to recover and stabilize an initial ~3% sign-in conversion decline post-launch; partnered cross-functionally...

I am an AI and data professional at Kuehne+Nagel with experience across global logistics, enterprise data engineering, analytics, cloud platforms,...

Working as freelance Cryptography Architect & PKI Specialist for Government of Defence (DoD) in The Netherlands.

Over 17 years of experience at the intersection of enterprise software architecture and financial systems engineering, Kishore specializes in applying...

Her professional experience includes customized Android operating-system development for healthcare devices, Bluetooth integration with connected medical equipment, secure offline clinical-data...

Quality of Service (QoS) Wireless Networks High-Speed Networks Computer Networks Communication Systems Network Security

Architected and deployed Pinpoint AI Decisioning Platform processing 15-20 million customer eligibility decisions monthly, leveraging reinforcement learning algorithms (first RL...

Vasudevan Ananthakrishnan is an accomplished IT Project and Technical Manager with more than 25 years of experience delivering enterprise-scale technology...
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