2026 International Conference on Artificial Intelligence and Simulation (CAIS 2026)
Sep 28 - 30, 2026
Kuala Lumpur, Malaysia
CAISCONF@outlook.com
Sep 28 - 30, 2026
Kuala Lumpur, Malaysia
CAISCONF@outlook.com

2026 International Conference on Artificial Intelligence and Simulation

(CAIS 2026)

September 28-30, 2026 | Kuala Lumpur, Malaysia

Important Information

Conference Website: www.ic-ais.net

Date: September 28-30, 2026

Location: Kuala Lumpur, Malaysia

Indexed Databases: EI Compendex, Scopus, IEEE Xplore

Conference Introduction

CAIS 2026 aims to bring together leading researchers, engineers, and industry experts in artificial intelligence and simulation to foster collaboration and innovation. The conference will serve as a premier forum for sharing cutting-edge advancements, discussing emerging challenges, and promoting the exchange of scientific knowledge across academia and industry.

With a focus on accelerating research and development in AI-driven simulation technologies, CAIS 2026 will provide a dynamic platform for participants worldwide to present discoveries, explore practical applications, and network with peers. The event will feature keynote speeches, technical sessions, and interactive discussions, ensuring a rich exchange of ideas to shape the future of the field.

We look forward to welcoming you to Malaysia for an inspiring and productive conference experience. Join us at CAIS 2026 to contribute to the next wave of AI and simulation breakthroughs!

Organization

 

Keynote Speakers

Prof. Rezzy Eko Caraka

Prof. Rezzy Eko Caraka

IEEE Senior Member

National Research and Innovation Agency (BRIN), Indonesia / Chaoyang University of Technology, Taiwan

Rezzy Eko Caraka (Senior IEEE Member) is a researcher at the Research Center for Data and Information Sciences, National Research and Innovation Agency (BRIN), Indonesia, and a Professor at the Department of Information Management, Chaoyang University of Technology (CYUT), Taiwan. He currently serves as Expert Staff to the President of Indonesia on the Research Advisory Team and Expert Staff at LLDIKTI, providing strategic guidance for higher education and national research policy. Previously, he held appointments as a Postdoctoral Researcher and Research Assistant Professor at Seoul National University, and as Senior Research Fellow at UNIST, South Korea. His research integrates statistics, machine learning, and data analytics to support evidence-based policy, sustainable development, and technological innovation.
Dr. Saurabh Kakkar

Mr. Saurabh Kakkar

Director / Program Manager – Basel Data Repository (BDR)

Santander Bank – Dallas, USA

Dr. Saurabh Kakkar brings over 15 years of experience in risk management, regulatory compliance, and AI-driven transformation within global banking institutions. Currently, Dr. Kakkar serves as Director and Program Manager at Santander Bank, where he leads the Basel Data Repository program and drives enterprise-scale regulatory reporting. His work includes building AI-powered copilots (LLM/RAG) for regulatory interpretation, significantly improving efficiency, transparency, and explainability in compliance workflows. Previously, Dr. Kakkar held senior roles at Credit Suisse, PwC, Citco Fund Services, and Ernst & Young. His contributions extend to research and academia, including IEEE publications on explainable AI and generative AI applications.
Dr. Ali Ahmadian

Dr. Ali Ahmadian

Visiting Professor

Mediterranean University of Reggio Calabria, Italy

Ali Ahmadian received the Ph.D. degree from Universiti Putra Malaysia (UPM) in 2014. He is currently a Senior Lecturer with the Institute of Industry Revolution 4.0, National University of Malaysia, an Adjunct Lecturer with Kean University (Wenzhou Campus), and a Visiting Professor with the Mediterranea University of Reggio Calabria. His primary mathematical focus is the development of computational methods and models for problems arising in computer science, biology, physics, and engineering under fuzzy and fractional calculus (FC). He was selected as the 1% top reviewer in the fields of mathematics and computer sciences recognized by Publons (2017–2020) and is an author of more than 80 research articles.
Dr. Ely Salwana

Dr. Ely Salwana

Research Fellow

Universiti Kebangsaan Malaysia, Malaysia

Dr Ely Salwana is a Research Fellow in the Institute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM, Bangi), Malaysia. Her primary research areas include information work, data analytics, data mining, knowledge organization, and participatory information practices. The contexts of her research range from public organizations to education, virtual worlds, and corporate sectors. She received a Ph.D. Degree in Computer Science at the University of Malaya in 2016. She has 18 years of working experience related to her field of study as a lecturer, researcher, and supervisor. She has been successfully involved in many research projects and grants related to computer sciences as a group leader and researcher.

Call for Papers

Topics include but are not limited to the following areas:

Artificial Intelligence & Machine Learning

  • Deep learning, reinforcement learning, neural networks
  • Natural language processing (NLP) and computer vision
  • Explainable AI (XAI) and trustworthy AI systems

Simulation & Computational Intelligence

  • Agent-based modeling and multi-agent systems
  • Digital twins and virtual simulation environments
  • High-performance computing for AI-driven simulations

AI Applications

  • Robotics, autonomous systems, and intelligent control
  • AI in healthcare, finance, and smart cities
  • AI for industrial automation and Industry 5.0

Emerging Trends

  • Generative AI and large language models (LLMs)
  • AI ethics, governance, and responsible AI
  • Quantum computing and AI integration

Publication

Conference Proceedings

Submitted papers will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the IEEE (ISBN: 979-8-3195-0972-7), which will be submitted for indexing by IEEE Xplore, EI Compendex and Scopus.

Download Template: Downloads | AiScholar

Conference Program

Date Time Activity
September 28, 2026 (Fri.) 13:00-18:00 Registration
September 29, 2026 (Sat.) 09:00-12:00 Opening Ceremony, Keynote Speech
12:00-14:00 Lunch
14:00-18:00 Oral Presentation
18:00-19:30 Banquet
September 30, 2026 (Sun.) 09:00-18:00 Academic tour

The above program is a brief outline. A more detailed programme will be emailed to you after the registration deadline. The actual conference schedule may be a little different according to the number of participants.

Registration & Fees

Categories Early Birds
Before 20/7/2026
Regular
20/7/2026 - 01/9/2026
Late
After 01/9/2026
Authors (Regular) 4 pages 350 USD 400 USD 450 USD
Presentation Only (Abstract) 200 USD 280 USD 300 USD
Delegate (No submission) 160 USD 180 USD 200 USD
Delegate (Group≥3) 150 USD 170 USD 170 USD
Additional Paper 280 USD / Per One 280 USD / Per One 280 USD / Per One
Additional Page (Over 4 pages) 30 USD / One Page 30 USD / One Page 30 USD / One Page

* If your paper is accepted by committee and you registered for the conference, a 30% processing fee will be deducted if a retraction is requested.

Participation

  • Paper Authors: The edition fee includes a free place to attend the conference. The other authors can register as normal participant. All the authors can apply the presentation for free.
  • Keynote Speaker: Apply for the keynote speech on the conference. Please submit your personal CV, presentation title and abstract.
  • Oral Presenter: Apply for the oral presentation on the conference. Please submit your presentation title and abstract.
  • Poster Presentation: Apply for print the poster and the poster will be shown on the conference hall. Please submit the A1 vertical and electronic version.
  • Audience Participation: No submission but only participation.

Conference Secretary

Conference Secretary: Ms. Claire Chen

Promo Code: t8033

E-mail: CAISCONF@outlook.com

Mobile/WhatsApp/WeChat: +86 18138787370

LinkedIn: View Profile

The Secretary office of CAIS 2026 will be collecting all the contributions and managing the daily organizing work of the conference. All the paper peer-review process will be completed by the conference Program Committee members and externally invited expert reviewers.

If you have any question or inquiries, please feel free to contact us.

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