Conference Overview

AI-DataX 2026 - Artificial Intelligence, Data Science & Emerging Technologies

Theme: Smart Systems & Intelligent Transformation: The Next Wave of AI and Data Science

19-20, November 2026 Tokyo, Japan

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Starts at 9:00 AM on 19 Nov 2026

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Sessions 16

Speakers 51

Sponsors 0

Venue Tokyo, Japan

About This Conference

AI-DataX 2026 - Artificial Intelligence, Data Science & Emerging Technologies November 19–20, 2026 | Tokyo, Japan
Conference Theme: Smart Systems & Intelligent Transformation: The Next Wave of AI and Data Science

About AI-DataX 2026
AI-DataX 2026 is a premier international conference bringing together leading researchers, industry innovators, data scientists, AI engineers, policymakers, and technology entrepreneurs to explore the rapidly evolving landscape of Artificial Intelligence, Data Science, and Emerging Technologies.

This global forum will serve as a dynamic platform for knowledge exchange, collaboration, and forward-thinking discussions on how intelligent systems are transforming industries, economies, and societies.

As AI continues to redefine automation, decision-making, healthcare, infrastructure, finance, and digital ecosystems, AI-DataX 2026 aims to highlight cutting-edge research, practical implementations, and future-ready solutions that drive intelligent transformation worldwide.

Conference Theme Overview
Smart Systems & Intelligent Transformation: The Next Wave of AI and Data Science

The 2026 theme emphasizes the shift from isolated AI applications to fully integrated smart systems powered by advanced analytics, machine learning, and adaptive intelligence. The conference will explore:

Next-generation AI architectures
Autonomous and self-learning systems
AI-driven infrastructure and smart ecosystems
Responsible and ethical AI frameworks
Human-AI collaboration
Data-driven digital transformation strategies

The focus is on how AI and data science are not just tools, but foundational technologies shaping the next wave of intelligent transformation.

Key Focus Areas

Artificial Intelligence & Machine Learning
Data Science & Advanced Analytics
Emerging & Disruptive Technologies
Smart Applications & Industry 5.0
Intelligent Systems & Smart Technologies
AI in Healthcare & Life Sciences
Sustainability & Green AI

Why Attend AI-DataX 2026?

Gain insights from internationally recognized AI and data science experts
Present your latest research to a global audience
Discover emerging trends shaping the future of intelligent systems
Connect with academia, industry leaders, and technology innovators
Explore collaboration, funding, and commercialization opportunities
Enhance professional visibility and career growth

AI-DataX 2026 offers a unique platform to stay ahead in the rapidly evolving AI ecosystem.

Conference Highlights

Plenary & Keynote Sessions by global thought leaders
Technical Paper & Poster Presentations
Industry Case Studies & Real-World Applications
Panel Discussions on AI Ethics & Governance
Hands-on Workshops & Technical Tutorials
Startup & Innovation Showcase
Best Paper & Young Researcher Awards
Networking Sessions & Business Meetups

Important Dates

Abstract Submission Deadline: 05-11-26
Early Bird Registration: 20-06-26
Conference Dates: November 19–20, 2026

Abstract Submission Guidelines
Abstracts must be submitted online through the conference portal.
Word Limit: 250–300 words
Format: Include title, authors, affiliation, email address, and 3–5 keywords
Notification of Acceptance: Within 10 working days after submission

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

Registration Fee & Cancellation Policy: Upon confirmation of your participation, the registration fee is due to secure your slot. Please note that all payments are final and non-refundable. However, should you be unable to attend in person, you may transfer your registration to a colleague at no additional cost, or convert your participation to a virtual format to present remotely. Alternatively, your fee can be applied toward the publication of your article in the conference proceedings and associated journals, or held as a credit to be used for any of our future upcoming events.

Publication Opportunities

All accepted abstracts and full papers will be published in the Conference Proceedings. Selected high-quality papers will be recommended for publication in indexed international journals.

Venue – Tokyo, Japan
Tokyo, the capital of Japan, stands as one of the world’s foremost centers for technological advancement, research excellence, and digital innovation—making it a fitting venue for AI-DataX 2026. Globally recognized for its leadership in robotics, artificial intelligence, smart infrastructure, and advanced manufacturing, Tokyo offers an inspiring environment where tradition meets cutting-edge technology.

The city is home to leading multinational corporations such as Sony, SoftBank, Fujitsu, and Hitachi, along with a vibrant startup ecosystem and world-class research institutions. With its modern conference facilities, highly efficient public transportation system, exceptional safety standards, and global connectivity, Tokyo ensures a seamless and enriching experience for international delegates.

Beyond its technological landscape, Tokyo offers a unique cultural experience—from historic temples and serene gardens to futuristic districts and innovative architecture—providing attendees with both professional inspiration and cultural immersion during their visit.

Join the Intelligent Transformation
AI-DataX 2026 is more than a conference — it is a global forum to shape the future of intelligent systems. Whether you are developing next-generation algorithms, deploying AI solutions in industry, or shaping digital policy, this event will connect you with the people and ideas driving the next wave of AI and data science innovation.

We invite you to be part of this transformative journey in Tokyo.

Contact us at datasci@srcconferences.com or ai-datax2026@srcconferences.com

Sessions

Conference sessions

Browse the current session list for AI-DataX 2026 - Artificial Intelligence, Data Science & Emerging Technologies.

Total Sessions 16

Cyber-Physical Systems and Digital Twins

This session explores the integration of computational intelligence with physical processes through cyber-physical systems and digital twin technologies. It covers real-time data synchronization, simulation modeling, predictive analytics, and system optimization. The session highlights applications in smart manufacturing, infrastructure monitoring, energy systems, healthcare, and smart cities, emphasizing improved efficiency, reliability, and decision-making through virtual–physical convergence.

Future Trends in Artificial Intelligence and Data Science

This session explores emerging trends shaping the future of AI and data science, including generative AI, autonomous systems, federated learning, explainable AI, and advanced analytics. It highlights evolving research directions, industry innovations, and ethical considerations that will drive next-generation intelligent systems and data-driven transformation across global sectors.

Human - AI Collaboration and Augmented Intelligence

This session explores the synergy between humans and AI systems to enhance decision-making, creativity, and productivity. It covers augmented intelligence frameworks, human-centered AI design, explainable systems, and collaborative workflows across sectors such as healthcare, education, finance, and enterprise operations. The session highlights how AI can complement human expertise while ensuring trust, transparency, and ethical deployment.

Quantum Computing and Emerging AI Technologies

This session explores the convergence of quantum computing and next-generation AI technologies. It covers quantum algorithms, quantum machine learning, hybrid classical–quantum models, and emerging computational paradigms that have the potential to accelerate complex problem-solving. The session highlights innovative research, practical challenges, and future opportunities in areas such as cryptography, optimization, drug discovery, and advanced data analytics.

Industry 4.0 and Intelligent Manufacturing

This session explores the integration of AI, automation, IoT, and advanced data analytics in modern manufacturing systems. It covers smart factories, digital twins, predictive maintenance, robotics, cyber-physical systems, and real-time process optimization. The session highlights how intelligent technologies enhance productivity, quality control, operational efficiency, and supply chain resilience in the era of Industry 4.0.

AI in Finance and FinTech

This session explores the transformative role of artificial intelligence in finance and financial technologies. It covers AI-driven applications such as algorithmic trading, fraud detection, credit risk assessment, robo-advisory services, blockchain analytics, and personalized banking solutions. The session highlights how machine learning, predictive analytics, and automation enhance decision-making, security, efficiency, and customer experience across the financial ecosystem.

AI for Smart Cities and Urban Development

This session explores the application of artificial intelligence in building smarter, more sustainable, and resilient urban environments. It covers AI-driven solutions for intelligent transportation systems, energy management, waste optimization, public safety, infrastructure monitoring, and urban planning. The session highlights how data analytics, IoT integration, and predictive modeling enhance efficiency, sustainability, and quality of life in modern cities.

Edge AI and Internet of Things

This session explores the integration of Edge AI with the Internet of Things (IoT), enabling real-time data processing and intelligent decision-making at the device level. It covers edge computing architectures, low-latency analytics, embedded AI models, security considerations, and scalable IoT ecosystems, highlighting applications in smart cities, healthcare, industrial automation, and connected devices.

Robotics and Autonomous Technologies

This session focuses on the design, development, and deployment of robotics and autonomous systems. It covers intelligent control, computer vision, sensor integration, motion planning, and human–robot interaction, highlighting applications in industrial automation, healthcare, transportation, drones, and smart environments.

Intelligent Automation and Smart Systems

This session explores the integration of AI-driven automation with smart systems to enhance efficiency, adaptability, and decision-making. It covers intelligent process automation, robotics, IoT-enabled systems, and autonomous technologies, highlighting real-world applications in manufacturing, healthcare, smart cities, and enterprise operations.

Data Mining and Knowledge Discovery

This session focuses on techniques and methodologies for extracting meaningful patterns, trends, and insights from large datasets. It covers key concepts such as classification, clustering, association rules, anomaly detection, and predictive modeling, highlighting their applications in business intelligence, healthcare, finance, and scientific research.

Big Data Analytics and Engineering

This session explores the principles and technologies behind big data analytics and engineering, including large-scale data processing, distributed computing, data pipelines, and cloud-based architectures. It highlights tools and techniques for managing, analyzing, and extracting insights from high-volume, high-velocity data to support data-driven decision-making across industries.

Generative AI and Large Language Models

This session highlights the fundamentals and recent advancements in generative AI and large language models, including transformer architectures, fine-tuning methods, and prompt engineering. It explores real-world applications in content generation, conversational AI, and automation, along with key considerations for responsible and ethical deployment.

Deep Learning and Neural Networks

This session focuses on the principles and advancements in deep learning and neural network architectures, including CNNs, RNNs, and transformers. It highlights model design, training strategies, optimization techniques, and real-world applications in areas such as computer vision, natural language processing, and intelligent automation.

Advanced Machine Learning Techniques

This session explores advanced machine learning methods, including deep learning, reinforcement learning, transfer learning, and ensemble techniques. It highlights innovative algorithms, optimization strategies, and real-world applications, providing insights into building scalable and high-performance intelligent systems.

Artificial Intelligence - Foundations and Innovations

This session covers the core foundations of Artificial Intelligence, including machine learning, deep learning, neural networks, NLP, and computer vision. It also highlights emerging innovations such as generative AI and explainable AI, showcasing how intelligent systems are transforming industries and shaping the future of technology.

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Speakers

Featured speakers

Keynote, session, and delegate speakers currently associated with this conference.

Total Speakers 46

An experienced Information Systems Consultant and Historian of Technics affiliated with the Alexandre Koyré Centre, with a multidisciplinary background spanning law, information technology, sociology, and the history...

PhD Candidate in Smart Grid Operation at University of Douala with more than 20 years of professional experience in electrical engineering, power systems, and energy management. His research focuses on smart grids, sh...

Dr. Goharik Petrosyan Razmik is a Senior Researcher at the Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences and an Assistant Professor at the International Scientific and Educational Center...

Prof. Dr. Mladen Pecujlija is a Full Professor at the Faculty of Technical Sciences, University of Novi Sad, with extensive expertise in ethics, organizational behavior, crisis management, psychology, and research met...

Dr. Nesma Osama Osman, PhD is an Assistant Professor in the Agricultural Economics and Social Science Department at Cairo University. She earned her Ph.D. in Agricultural, Leadership, and Community Education from Virg...

Faruk Özgür is a computer engineer conducting research in the fields of artificial intelligence, machine learning, image processing, and the Internet of Things (IoT). He completed his undergraduate studies at Alanya A...

Mr. Richard Muriuki Kimiti is an experienced educator, researcher, and renewable energy specialist with over twenty-three years of teaching experience in Physics and Mathematics. He is currently pursuing a Ph.D. in Ph...

She is an accomplished academician, researcher, and pharmaceutical scientist with over 13 years of experience in pharmaceutical education, research, and industry. She earned her Ph.D. in Pharmaceutical Chemistry from...

Mrs. Sweety Thakkar is an accomplished academician, researcher, entrepreneur, and management professional with over 15 years of experience in higher education, business development, and industry engagement. She is cur...

He is a Research Scientist at the New York University (NYU) Abu Dhabi, specializing in communication systems, signal processing, and wireless technologies. He earned his Ph.D. in Electrical Engineering from EURECOM, F...

Prof. Akihiro Fujii is a distinguished researcher and academic in science, technology, and innovation policy. He serves as Professor in the Faculty of Science and Engineering at Hosei University and has held leadershi...

Dr. Hanan Ahmad Yahya Aldowah is a Senior Lecturer at Universiti Sains Malaysia (USM), specializing in Artificial Intelligence, Machine Learning, Data Analytics, Educational Technology, Learning Analytics, Business An...

Doctorate in Geo-Information Technologies with over 13 years of professional experience in leading and delivering high-impact public-sector innovation initiatives. Proven expertise in Urban Planning, Smart Cities, and...

Dr. Dino Michael Quinteros Navarro is a Peruvian Systems Engineer, Doctor in Systems Engineering and Informatics, Master in Information Technology Management, and MBA graduate with over 19 years of professional experi...

Dr. Miklós Banai is an independent researcher and former lecturer specializing in mathematical physics, quantum field theory, quantum logic, and quantum computing. He studied Physics at Eötvös University, Budapest, Hu...

Driss Louiz is a senior lecturer and accredited coordinator of the Language and Communication stream at Ibn Tofail University. He specializes in sociolinguistics, French language didactics, and the integration of digi...

Yousef Farhaoui is a professor of Computer Science at the Faculty of Sciences and Techniques of Errachidia, Moulay Ismail University, Morocco, and the Director of the Laboratory of Computer Science, Mathematics, and A...

Hamza Zidoum is an Assistant Professor in the Department of Computer Science at Sultan Qaboos University (SQU), Oman, with a long academic and international research career in computer science, artificial intelligence...

Majdi Mansouri is a Tunisian academic and Associate Professor in the Department of Electrical & Computer Engineering at Sultan Qaboos University, Oman. He holds an HDR in Computer Engineering from the University of Or...

Maria Dalamagka Doctor of Medicine, holding a Master's and a PhD from Aristotle University of Thessaloniki (AUTH), Faculty of Medicine, Greece. Anesthesiologist-Physician (Larisa General Hospital, Greece), Acupuncturi...

Dr. Oludele Adeleke is a distinguished Nigerian academic, researcher, and cybersecurity expert currently serving as a Senior Lecturer in Information Communication Technology and Cybersecurity at the Faculty of Computi...

Dr. Neeta Nathani is a distinguished academician and researcher in the field of Electronics and Communication Engineering with over 20 years of teaching and research experience. She is currently serving as the Head of...

over 26 years of industry experience, working in Senior Technical Leadership roles at global companies, including Fortune 500 companies such as LnT Mindtree, Hyatt Hotel group, PwC and Ameren Services Company in the U...

Harshendra Gite is a Senior Technology Leader and IEEE Senior Member and ACM Member, currently serving as a Senior Director at LTM Limited. With over 25 years of experience in enterprise technology, digital transforma...

Prof. Mohamed Abd El Salam Hussein Abd Elkawe is a distinguished Egyptian academic and Professor of Human Geography at the Department of Geography & GIS, Faculty of Education, Ain Shams University. He also serves as t...

Tedd Pollard is AI Governance And control system| Ai decision | Systems| Founder, SymbiOmega

Dr. Vijay Kumar Kannan is a senior technology leader, AI strategist, and public-sector innovation practitioner with over 25 years of experience in software engineering, enterprise architecture, data science, and digit...

Prerna Mehta is an accomplished academician, researcher, and biotechnology professional with over 8 years of teaching and research experience. She is currently serving as Assistant Professor in the Department of Biote...

With over 32 years of experience in pharmaceutical packaging design and development, I have successfully led innovative and sustainable packaging initiatives for global markets including USA, Europe, Japan, Russia, Af...

Livingstone Mumelo is an AI and Data Specialist with over 7 years of experience applying advanced analytics and machine learning to humanitarian and development challenges.He currently works with the UN World Food Pro...

Juan Intan Kanggrawan is a senior technology, AI, public policy, and digital transformation executive with more than 15 years of leadership experience across government, international organizations, and private sector...

Dr. Sunny Ndubuisi Okonkwo holds a Professional Doctorate in Data Science and AI from the University of East London. He has served as Head of Data Analytics and Information Management at Ikeja Electric Plc, Nigeria's...

Dr. Jayalakshmi Vaithiyanathan is a distinguished academician and researcher with over 28 years of teaching experience in the field of Computer Science and Information Technology. She currently serves as the Director...

Professor Zhou received B.E. from Department of Automation, Beijing University of Technology in Jan.1982. He received postgraduate graduation diploma from Department of Computer Science, Beijing University of Technolo...

Prof. (Dr.) Dattatraya Vishnu Kodavade is a distinguished academician and researcher currently serving as Professor & Head of the Computer Science & Engineering Department, and Dean (Projects & Consultancy) at DKTE So...

Quality and Process Improvement Leader with over 11 years of experience driving nterprise-level quality excellence, process optimization, and applied industrial research. Demonstrates strong leadership in transforming...

Dr. Zulqurnain Sabir is an Assistant Professor of Mathematics at the Lebanese American University, Beirut, Lebanon, with extensive experience in teaching, research, and academic development. He earned his Ph.D. in Mat...

Gandhi Edhala is a Senior Analytics Engineer with over seven years of experience in data engineering and large-scale architecture. He specializes in building robust pipelines and high-performance data solutions within...

Professor Zhijie Xu is the Head of the Department of Computing at Xi’an Jiaotong-Liverpool University (XJTLU) and a distinguished scholar of Visual Computing with more than 30 years of experience spanning curriculum d...

Prof. Dr. Muhammad Said Hasibuan, M.Kom is an accomplished academic and researcher in the field of Informatics Engineering and Computer Science. He has extensive experience in higher education, teaching subjects such...

A seasoned design leader with over 20 years of experience, this professional holds a PhD in Design from UFPR, along with a Master’s degree in Development and Organizations (FAE) and a Bachelor’s in Product Design (PUC...

Prof. Dr. Gamal Mohammed Attia Mostafa (born October 6, 1978, in Beni Suef City, Egypt) is a Professor of Human Geography at the Faculty of African Postgraduate Studies, Cairo University. He specializes in Human Geogr...

An Active Worker. Highly self-motivated. Learns technical information quickly. Great ability to work in team work. Interested in reading in any field especially scientificresearches to enrich my knowledge.

Data-driven Intelligent Transportation Systems, Internet of Things (IoT), Big Data Integration, Mobility Analytics, Smart City Development

E-Government, Digital Governance, Information Systems, Information Management, Artificial Intelligence, Data Analytics

OCM

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Committee Members 5

Gianni D’Angelo is an RTD.B (Researcher) at the University of Salerno, Italy. Since April 14, 2021, he has been qualified as an Associate Professor in the sector 01/B1 – Computer Science, and since April 29, 2021, in...

Prof. (Dr.) Gufran Ahmad Ansari is a distinguished Professor of Computer Science at Al Imam Mohammad Ibn Saud Islamic University, Riyadh, with over 21 years of experience in teaching, research, and academic leadership...

Innokentiy Semushin qualified as a graduate Electrical Engineer (1964) in Mathematical Computing and Computer Science and received his Candidate of Science degree (Ph.D. equivalent) in Automatic Control (1970) both fr...

Dr. Kumar completed his Ph.D. from Northcap University and M.Sc. (Information Security and Digital Forensics) from Technological University Dublin, Ireland in 2013. Dr. Kumar has more than 16+ years of research, teach...

Artificial Intelligence (AI), Machine Learning, Deep Learning, Computer Vision, Image Processing, Digital Twins, Metaverse Technologies

Venue

Tokyo, Japan

City Tokyo, Japan

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