Future Tech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems

Theme: Transforming the Future: AI and Quantum Computing for a Smarter World

08-09, September 2026 Hong Kong, Hong Kong, Hong Kong

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About This Conference

FutureTech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems

Hong Kong
September 8–9, 2026

Theme: Transforming the Future: AI and Quantum Computing for a Smarter World

"All registered participants of Scientific Research Conferences 2026 will receive a Certificate of Attendance accredited with 10 CPD Credits"

About the Conference

FutureTech 2026 is a premier international gathering that brings together leading researchers, academicians, industry experts, and technology innovators from around the world. Designed as a dynamic platform for intellectual exchange, the conference showcases cutting-edge advancements and breakthrough research in Artificial Intelligence, Quantum Computing, and Intelligent Computing Systems.

Spanning multiple interdisciplinary domains, the conference welcomes contributions from key departments including Computer Science, Artificial Intelligence & Machine Learning, Quantum Information Science, Data Science, Software Engineering, Cybersecurity, Electrical & Electronics Engineering, Robotics, and Computational Physics.

FutureTech 2026 goes beyond traditional presentations by fostering meaningful collaboration, networking, and knowledge sharing. Participants will gain deep insights into emerging technologies, explore real-world applications, and engage in forward-thinking discussions that are shaping the future of intelligent and quantum-enabled systems.

Important Dates

Paper Submission Deadline: June 15, 2026
Notification of Acceptance: July 10, 2026
Early Registration Deadline: August 1, 2026
Conference Dates: September 8–9, 2026

Why Attend

Present your research on an international platform
Explore advancements in AI, Machine Learning, Quantum Computing, and Data Science
Connect with global experts, researchers, and industry leaders
Build collaborations and expand professional networks
Gain international exposure for your work

Publication & Networking Opportunities

Scopus & Web of Science Publication: Accepted research papers are eligible for publication in journals indexed in Scopus and Web of Science (WoS), subject to the journals’ peer-review process. This provides authors with an opportunity to enhance the global visibility and academic impact of their work.
International Networking & Collaboration: Engage with leading experts in AI, Machine Learning, Quantum Computing, Data Science, and Intelligent Systems to create valuable collaborations and professional relationships.

Referral & Community Programs

FutureTech 2026 encourages collaborative participation through dedicated referral initiatives:

Lead Multiplier Program: Participants who bring 3–5 colleagues or fellow researchers may receive special registration discounts and benefits.
Speaker Referral Credits: Speakers and committee members who refer additional participants can receive registration credits or discounted participation.

Global Promotion & Academic Outreach

The conference will be promoted through targeted academic campaigns, including LinkedIn, featuring:

Conference highlights and key benefits
Distinguished keynote speakers
Research and publication opportunities
Insights into emerging technologies

Registration & Benefits

Early Registration

Discounted conference fees
Priority selection of presentation slots
Early confirmation for travel and planning

Participation Benefits

Opportunity to present research
Networking with global professionals
Official Certificate of Participation
10 CPD Credits accredited certificate

Special discounted registration is available for:

Students
Early-career researchers
Participants from developing countries

Virtual Participation

For those unable to attend in person, FutureTech 2026 offers virtual participation options.

Virtual attendees can:

Present research online
Interact with international participants
Receive a CPD-accredited certificate
Participate in all academic sessions

Accommodation Support

Participants will receive information on discounted accommodation and partner hotel options in Hong Kong to assist with travel planning and reduce expenses.

Join FutureTech 2026

We invite researchers, scientists, engineers, students, and industry professionals to contribute to discussions in:

Artificial Intelligence
Quantum Computing
Machine Learning
Intelligent Computing Systems
Data Science and Automation

Get Involved

Submit Your Abstract
Register for the Conference
Become a Speaker
Connect with Global Experts

Be part of FutureTech 2026 and contribute to shaping the future of intelligent technologies.

Contact Us
For sponsorship, speaking opportunities, partnerships, or registration inquiries: futuretech@srcconferences.org

Preliminary Program

FutureTech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems
📍 Hong Kong | 📅 September 8–9, 2026

Day 1 – September 8, 2026
Theme: Foundations & Theoretical Frontiers

09:30 – 10:30 | Keynote Session
Artificial Intelligence: Foundations & Frontiers
Exploring core principles of AI, deep learning architectures, and future theoretical directions.

10:30 – 11:00 | Coffee Break & Networking

11:00 – 12:00 | Session
Quantum Computing: Principles & Practical Applications
Fundamentals of quantum systems, computational models, and emerging applications.

12:00 – 13:00 | Session
AI, Quantum Synergy: Hybrid Intelligent Systems
Integration of AI with quantum computing for solving complex computational challenges.

13:00 – 14:00 | Lunch Break

14:00 – 15:00 | Session
Intelligent Computing Systems & Autonomous Technologies
Advances in autonomous systems, adaptive algorithms, and intelligent infrastructures.

15:00 – 16:00 | Session
AI Ethics, Governance & Responsible Innovation
Ethical frameworks, policy challenges, and responsible deployment of AI technologies.

16:00 – 16:30 | Coffee Break

16:30 – 17:30 | Session
Quantum Algorithms & Cryptography
Next-generation cryptographic systems and quantum algorithm design.

17:30 – 18:30 | Poster Session & Networking
Early-career researchers present innovations in AI, quantum computing, and interdisciplinary systems.

Day 2 – September 9, 2026
Theme: Applications, Experiments & Future Directions

09:00 – 10:00 | Keynote Session
AI for Healthcare & Life Sciences
Applications of AI in medical diagnostics, drug discovery, and biomedical data analysis.

10:00 – 11:00 | Session
High-Performance & Cloud-Based Intelligent Computing
Scalable infrastructures, HPC systems, and cloud-based AI solutions.

11:00 – 11:30 | Coffee Break & Networking

11:30 – 12:30 | Session
Industrial AI & Smart Manufacturing
AI-driven automation, Industry 4.0, and intelligent production systems.

12:30 – 13:30 | Session
Data Science, Big Data & Predictive Analytics
Advanced data processing, analytics, and real-time decision-making systems.

13:30 – 14:30 | Lunch Break

14:30 – 15:30 | Session
Future of Intelligent Robotics & Human-Machine Collaboration
Collaborative robotics, human-AI interaction, and adaptive robotic systems.

15:30 – 16:30 | Session
Generative AI & Creative Intelligence
AI-driven content generation, creativity, and design innovation.

16:30 – 17:00 | Coffee Break

17:00 – 18:00 | Session
AI, Quantum Computing & Sustainable Global Development
Leveraging advanced technologies to address global challenges and sustainability.

18:00 – 18:30 | Panel Discussion
Emerging Startups & Innovation Showcase
Insights from entrepreneurs and industry leaders on real-world AI & quantum innovations.

18:30 – 19:00 | Closing Remarks & Awards
Conference summary, recognition of outstanding contributions, and future collaboration opportunities.

Sessions

Conference sessions

Browse the current session list for Future Tech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems.

Total Sessions 16

Quantum Communications & Quantum Networking Systems

This session focuses on advanced research in quantum communications and scalable quantum network architectures. Topics include DV/CV-QKD, entanglement-based communication, quantum repeaters (entanglement swapping, purification, quantum memory), and composable security under realistic noise models.

It also covers quantum network protocols, routing, resource allocation, and cross-layer optimization in hybrid classical-quantum systems, along with performance metrics such as fidelity and key rate. Experimental work in photonic platforms, fiber/free-space links, and satellite-based quantum communication is highly encouraged.

AI, Quantum Computing & Sustainable Global Development

This session explores how Artificial Intelligence and Quantum Computing can address global sustainability challenges. Topics include climate modeling, energy optimization, smart grids, carbon footprint reduction, environmental monitoring, sustainable supply chains, and green AI infrastructure.

Speakers will discuss how next-generation intelligent computing systems can accelerate scientific discovery, optimize resource management, and contribute to achieving global sustainability goals. The session highlights the role of advanced technologies in building resilient economies and a smarter, more sustainable world.

Emerging Startups & Innovation Showcase

A platform for startups, research labs, and technology innovators to present groundbreaking solutions in AI, quantum computing, and intelligent systems.

Data Science, Big Data & Predictive Analytics

Covers advanced data engineering, real-time analytics, decision intelligence, and AI-driven forecasting models across sectors including finance, energy, and transportation.

Future of Intelligent Robotics & Human and Machine Collaboration

Focuses on autonomous robotics, collaborative robots (cobots), AI-driven perception systems, and human–machine interaction shaping next-generation automation.

Industrial AI & Smart Manufacturing

Explores AI-driven automation, predictive maintenance, digital twins, and Industry 4.0 technologies transforming global manufacturing ecosystems.

High-Performance & Cloud-Based Intelligent Computing

Discusses scalable computing architectures, distributed AI training, GPU/TPU infrastructures, and cloud-based intelligent systems supporting enterprise and research innovation.

AI for Healthcare & Life Sciences

Highlights transformative AI applications in medical diagnostics, drug discovery, genomics, personalized medicine, and healthcare automation. Emphasis on data-driven precision and improved patient outcomes.

Generative AI & Creative Intelligence

Examines advancements in generative models, including large language models, diffusion models, and AI-driven creativity in art, design, media, and content generation. Focus on innovation, safety, and commercialization.

Quantum Algorithms & Cryptography

Covers breakthroughs in quantum algorithms, post-quantum cryptography, and secure communication systems. This session will explore the impact of quantum advancements on cybersecurity infrastructure and digital trust.

AI Ethics, Governance & Responsible Innovation

Addresses the ethical, legal, and societal implications of AI and quantum technologies. Discussions include transparency, bias mitigation, privacy preservation, regulatory frameworks, and sustainable AI development.

Intelligent Computing Systems & Autonomous Technologies

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.

Deep Learning & Advanced Neural Networks

Focused on cutting-edge developments in deep learning, including transformers, generative models, multimodal systems, and self-supervised learning. Applications span healthcare, robotics, finance, cybersecurity, and smart infrastructures.

AI, Quantum Synergy: Hybrid Intelligent Systems

This session examines the integration of AI with quantum computing technologies. Topics include quantum machine learning, quantum-enhanced optimization, and hybrid classical–quantum models designed to accelerate computational intelligence.

Quantum Computing: Principles & Practical Applications

An in-depth exploration of quantum mechanics in computation, covering qubits, quantum algorithms, entanglement, and error correction. Speakers will highlight real-world applications, hardware development, and the transition from experimental systems to scalable quantum platforms.

Artificial Intelligence: Foundations & Frontiers

This session explores the theoretical and practical foundations of Artificial Intelligence, including machine learning paradigms, neural architectures, reasoning systems, and autonomous intelligence. Discussions will focus on emerging trends, scalability challenges, and future AI directions across industries and research domains.

Submit Abstract

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Speakers

Featured speakers

Prof. André A. Keller is a French researcher and academic affiliated with the University of Paris 1 Panthéon-Sorbonne. With extensive experience in economics, operations research, optimization, game theory, artificial...

Professor Dr. Angela Lee Siew Hoong is the Deputy Dean (Employability & Alumni) at the Faculty of Engineering and Technology, Sunway University, Malaysia. A trailblazer in the field of Data Science education, she has...

Grace Wu is a global data and AI transformation leader and scholar-practitioner with over 16 years in financial services, spanning investment banking, global markets, securities services, wholesale banking, and group...

Associate Professor Ts. Dr. Saraswathy Shamini Gunasekaran is an Associate Professor at the School of Computer Science, Taylor’s University, with over 20 years of experience in artificial intelligence, digital governa...

Tejas Patel is a Software Development Engineer at Amazon with experience in building scalable, customer-facing systems and data-driven solutions. He has contributed to key features such as seller profile optimization,...

Bas is passionate about addressing the climate crisis with technologies and innovative business models. As the CEO and Founder of EcoMatcher, a tree-planting and TreeTech company, he has a proven track record in produ...

Damodhara Reddy Palavali is a technology professional with over 15 years of experience in software engineering, cloud computing, and enterprise application development across the automotive, banking, and healthcare...

Dr. Liu is a distinguished leader in education and a scholar with extensive expertise ineducational administration, curriculum design, and school governance. Currentlyserving as the Principal of St-Johannes College, s...

Dr. Jafhate Edward is a Lecturer in the School of Computer Science at Taylor's University, Malaysia, specializing in Artificial Intelligence, Quantum Information, Data Mining, and Intelligent Systems. He holds a PhD i...

Dr. Jaideep Srivastava is a globally recognized expert in artificial intelligence, data mining, and knowledge discovery, with an outstanding career spanning academia, industry, entrepreneurship, and government. He lea...

Jason Mok is a seasoned technology leader with over 18 years of experience in strategic management, AI, robotics, gaming, and software development. As the CEO of GibbonBot, Jason spearheads the development of innovati...

John Cheung is Assistant Head of IT and Deputy Director of the AI Lab at the College of Professional and Continuing Education (CPCE) of HK PolyU. At CPCE, he contributes to IT leadership, institutional digital transfo...

Kunal Pagariya is a Software Technical expert and cloud technology enthusiast with hands-on experience in enterprise application development using Spring Boot, Python, and AWS Cloud. He is actively exploring modern cl...

Nardo Manaloto is the Managing Partner of Qubits Ventures (QV), a deep-tech venture firm and venture studio at the forefront of quantum technologies, advanced computing, next-generation AI, and infrastructure innovati...

Dr. Patrick Appiah-Kubi is a Professor and Portfolio Director for Cloud Computing, Cybersecurity Technology, and Information Assurance at the University of Maryland Global Campus (UMGC), USA. He earned his Ph.D. in In...

Sandeep Shivam is a senior product leader with over 20 years of experience scaling AI-powered SaaS platforms across mortgage, lending, core banking, and capital markets. He currently leads Tavant's Touchless Lending E...

Sridhar is a seasoned AI and Cloud Engineering leader with over 14 years of experience driving enterprise-scale technology transformations across the financial services and cloud technology sectors. Currently serving...

Prof. Yang You is a Presidential Young Professor at the National University of Singapore and Founder & Chairman of HPC-AI Tech. His research focuses on high-performance computing, artificial intelligence, machine lear...

Zeyu Zhao is currently pursuing a Master of Science in Artificial Intelligence in Business at City University of Hong Kong. He also serves as a Teaching Assistant in the full-time Marketing Department and a Part-time...

Professor Danah Zohar is a pioneering management thinker and the originator of Quantum Management Theory, Quantum Psychology, and Spiritual Intelligence (SQ). Educated at MIT and Harvard, she has authored influential...

Dr. Dhinesh Kumar R is a Principal AI Architect at OO Studio AI, India, with extensive experience in Artificial Intelligence, Edge Computing, Intelligent Transportation Systems, and Next-Generation Vehicular Communica...

Assoc. Prof. Ts. Dr. Afizan Azman is an Associate Professor at Taylor's University and Director of the Digital Innovation & Smart Society Impact Lab. He holds a PhD in Computer Science from Loughborough University and...

Gurunadha Mangalampeta is a highly accomplished Senior Verification Infrastructure Engineer with over 25 years of experience in ASIC and SoC verification across simulation and system-level environments. He has extensi...

Krishna Chaitanya Yarlagadda is an accomplished Data Science and Artificial Intelligence leader with over 13 years of experience in machine learning, predictive analytics, business intelligence, risk modeling, and clo...

Rajat Kumar is a results-oriented AI/ML and Data Science leader with 12+ years of experience building scalable, high-impact solutions across machine learning, deep learning, computer vision, NLP, and data engineering....

Tatev Aslanyan is the Co-Founder and CEO of LunarTech, which holds a European Innovation Council Seal of Excellence and is recognised as a Top Data Science Bootcamp of 2025, serving 50,000+ learners across 144 countri...

Tijjani Ibrahim Bambale is a Quality Assurance professional and public sector administrator at Nigeria's National Health Insurance Authority (NHIA), with over 15 years of experience across healthcare, education, banki...

OCM

Organizing committee members

Salah Hammedi is a researcher and lecturer in Computer Science, currently affiliated with the Higher Institute of Applied Mathematics and Computer Science of Kairouan (ISMAI-K), University of Kairouan, Tunisia. He hol...

Dr. Sanjay G. Patel is a Computer Engineering academic and researcher with a Ph.D. from Charotar University of Science and Technology and an M.Tech. from Nirma University. He is currently a faculty member at Nirma Uni...

Dr. Ephraim Suhir is a distinguished researcher and professor specializing in applied mechanics, materials science, and reliability engineering. He is affiliated with Portland State University, UCLA, and Bordeaux Univ...

Venue

Hong Kong

Hong Kong, Hong Kong

Hong Kong

Nearby attractions will be added soon.

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