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
š Hong Kong | š
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.
Conference sessions
Browse the current session list for Future Tech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems.
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 your abstract
Mail your abstract to futuretech@srcmeetings.com or submit it online using the form below.
Registration details
Registration windows, pricing categories, and key dates for this conference.
Select the active registration option to continue to the registration progress page.
Featured speakers
Keynote, session, and delegate speakers currently associated with this conference.
Mari Sekino
Session SpeakerI am a physicist who designs governance frameworks for the AI and quantum era. My path began in theoretical physics ā quantum simulations, complex systems, energy dynamics. That training gave me something strategy con...
Rajat Kumar
Session SpeakerRajat 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....
Dhinesh Kumar Ravi
Session SpeakerDr. 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...
Dr. Claudia W.K. Liu
Session SpeakerDr. 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...
Ekaterina Kokoreva
Session SpeakerEkaterina is a diligent, motivated and strategic team lead with extensive project delivery, deal origination, structuring, and execution as well as data analytics and datamanagement expertise within in global banking...
Dr.Serghei Sandacci
Session SpeakerExperienced Data Scientist with 27 years of scientific expertise and leadership in diverse technicalĀ domains, including Machine Learning and Generative Artificial Intelligence. He has a proven trackĀ record of formulat...
Danah Zohar
Session SpeakerProfessor 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...
Tejas Patel
Keynote SpeakerTejas 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,...
Zeyu ZHAO
Session SpeakerZeyu 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...
Nardo Manaloto
Session SpeakerNardo 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...
Organizing committee members
Conference leadership and organizing contacts currently available in the system.
Dr. Ephraim Suhir
OCMNardo 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...
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Future Tech 2026: Artificial Intelligence, Quantum Computing & Intelligent Computing Systems
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