International Conference on AI & Digital Modelling in Energy
Connecting Science, AI & Energy Worldwide
Connecting Science, AI & Energy Worldwide
August 5-8, 2026
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About the Conference
We are pleased to invite you to the International Conference on AI & Digital Modelling in Energy (AIDME-2026), to be held from 5 to 8 August 2026 at Nazarbayev University in Astana, Kazakhstan. AIDME-2026 is an international academic conference dedicated to recent advances in digital modelling, artificial intelligence, and computational methods for energy science and engineering.
The conference is organized by the School of Engineering and Digital Sciences (SEDS), the National Laboratory Astana (NLA), and the Institute of New Materials and Energy Technologies (INMET) of Nazarbayev University, in collaboration with the Qazaq International Science and Technology Association (QIST).
Energy research connects scientific and engineering questions across many disciplines and scales, from the discovery of advanced materials and the modelling of molecular and process phenomena to subsurface systems, energy infrastructure, and integrated energy networks. Reflecting this breadth, AIDME-2026 will consider the full energy value chain, including resource exploration and characterisation, production and conversion, storage, transmission and distribution, utilisation, efficiency, decarbonisation, environmental protection, and sustainability.
The conference will provide a forum for researchers at different career stages to present new findings, discuss methodological and technical challenges, and exchange perspectives across disciplinary boundaries. Participation from universities, research institutes, national laboratories, and industrial research and development groups is welcome.
The conference is organized by the School of Engineering and Digital Sciences (SEDS), the National Laboratory Astana (NLA), and the Institute of New Materials and Energy Technologies (INMET) of Nazarbayev University, in collaboration with the Qazaq International Science and Technology Association (QIST).
Energy research connects scientific and engineering questions across many disciplines and scales, from the discovery of advanced materials and the modelling of molecular and process phenomena to subsurface systems, energy infrastructure, and integrated energy networks. Reflecting this breadth, AIDME-2026 will consider the full energy value chain, including resource exploration and characterisation, production and conversion, storage, transmission and distribution, utilisation, efficiency, decarbonisation, environmental protection, and sustainability.
The conference will provide a forum for researchers at different career stages to present new findings, discuss methodological and technical challenges, and exchange perspectives across disciplinary boundaries. Participation from universities, research institutes, national laboratories, and industrial research and development groups is welcome.
Conference theme
The central theme of AIDME-2026 is the application of digital modelling and artificial intelligence to energy science and engineering. The programme will examine physics-based, data-driven, and hybrid modelling approaches, together with machine learning, scientific computing, and high-performance computing.
Particular attention will be given to research that combines physical knowledge with experimental observations, operational data, or computational methods to improve the understanding, prediction, design, and optimisation of energy technologies and systems. Studies addressing model validation, uncertainty, interpretability, computational efficiency, and the reliable integration of models and data are also encouraged.
By bringing together complementary approaches, the conference seeks to support careful discussion of how digital methods can contribute to more efficient, sustainable, resilient, and intelligent energy systems.
Connecting Science, AI & Energy Worldwide
Particular attention will be given to research that combines physical knowledge with experimental observations, operational data, or computational methods to improve the understanding, prediction, design, and optimisation of energy technologies and systems. Studies addressing model validation, uncertainty, interpretability, computational efficiency, and the reliable integration of models and data are also encouraged.
By bringing together complementary approaches, the conference seeks to support careful discussion of how digital methods can contribute to more efficient, sustainable, resilient, and intelligent energy systems.
Connecting Science, AI & Energy Worldwide
Scientific Scope
The scientific scope of AIDME-2026 centres on the application of digital modelling and artificial intelligence to energy science and engineering. The conference welcomes research employing physics-based, data-driven, and hybrid modelling, together with machine learning, scientific computing, and high-performance computing, to understand, predict, design, optimise, and manage energy materials, processes, technologies, and systems.
Applications may span the full energy value chain, including advanced materials for energy conversion and storage; chemical and process systems; batteries and other storage technologies; renewable and conventional energy systems; power generation, transmission, and distribution; subsurface energy resources; multiphase flow and transport in porous media; carbon capture, utilisation and storage; environmental monitoring and remediation; energy efficiency; and sustainable resource management. Contributions from chemical and process engineering, materials science, petroleum engineering, geosciences, environmental engineering, power and energy systems, computational physics, applied mathematics, computer science, and data science are welcome where they demonstrate a clear connection to energy research.
Both methodological advances and application-oriented studies are encouraged. Relevant topics include multiscale and multiphysics simulation, reduced-order and surrogate modelling, uncertainty quantification, interpretable and physics-informed artificial intelligence, optimisation, model validation, experimental–computational integration, and the coupling of physical models with research or operational data. Particular emphasis will be placed on scientifically rigorous approaches that improve physical understanding, predictive capability, computational efficiency, or decision-making in energy science and engineering.
Applications may span the full energy value chain, including advanced materials for energy conversion and storage; chemical and process systems; batteries and other storage technologies; renewable and conventional energy systems; power generation, transmission, and distribution; subsurface energy resources; multiphase flow and transport in porous media; carbon capture, utilisation and storage; environmental monitoring and remediation; energy efficiency; and sustainable resource management. Contributions from chemical and process engineering, materials science, petroleum engineering, geosciences, environmental engineering, power and energy systems, computational physics, applied mathematics, computer science, and data science are welcome where they demonstrate a clear connection to energy research.
Both methodological advances and application-oriented studies are encouraged. Relevant topics include multiscale and multiphysics simulation, reduced-order and surrogate modelling, uncertainty quantification, interpretable and physics-informed artificial intelligence, optimisation, model validation, experimental–computational integration, and the coupling of physical models with research or operational data. Particular emphasis will be placed on scientifically rigorous approaches that improve physical understanding, predictive capability, computational efficiency, or decision-making in energy science and engineering.
Conference Program
The academic programme will include keynote and invited lectures, contributed oral and poster presentations, panel discussions, focused forums, and selected hands-on sessions. AIDME-2026 will follow a single-track format, with no parallel scientific sessions. This structure will allow all participants to engage with the full programme and encourage focused, interdisciplinary discussion across the conference themes.
Keynote and invited lectures will offer perspectives on recent developments and future directions in digital modelling and artificial intelligence for energy. Oral and poster sessions will enable participants to present their research, receive constructive feedback, and engage with colleagues working on related problems. Poster presentations will provide a particularly valuable opportunity for graduate students and early-career researchers to discuss their work in depth.
Focused forums and hands-on sessions will address topics such as modelling practices, computational tools, research data, validation strategies, and reproducible workflows. Time will also be reserved for questions and informal scholarly exchange, helping participants identify complementary expertise and possible directions for future collaboration.
Keynote and invited lectures will offer perspectives on recent developments and future directions in digital modelling and artificial intelligence for energy. Oral and poster sessions will enable participants to present their research, receive constructive feedback, and engage with colleagues working on related problems. Poster presentations will provide a particularly valuable opportunity for graduate students and early-career researchers to discuss their work in depth.
Focused forums and hands-on sessions will address topics such as modelling practices, computational tools, research data, validation strategies, and reproducible workflows. Time will also be reserved for questions and informal scholarly exchange, helping participants identify complementary expertise and possible directions for future collaboration.
InterPore Kazakhstan Chapter
A special event of AIDME-2026 will be the official establishment and launch of the InterPore Kazakhstan Chapter. InterPore, the International Society for Porous Media, connects researchers working to improve the understanding, description, and modelling of natural and industrial porous-media systems.
2nd China–Kazakhstan Symposium on CCUS
AIDME-2026 will also host the 2nd China–Kazakhstan Symposium on Carbon Capture, Utilisation and Storage and Oil & Gas Innovation Technologies as a focused session within the conference programme.
CARE Initiative (Computational & AI Research in Energy)
The CARE Initiative is a free four-week online program that introduces high school students to artificial intelligence and machine learning.
Participation
AIDME-2026 welcomes researchers, faculty members, postdoctoral scholars, graduate students, and other members of the academic community whose work relates to digital modelling, artificial intelligence, computational science, or energy. Colleagues from national laboratories and industrial research and development groups are also encouraged to participate.
Contributions may address fundamental theory, methodological development, computational frameworks, experimental–computational integration, or applications to specific energy materials, processes, technologies, and systems. Through its scientific programme, AIDME-2026 aims to provide a constructive setting for sharing research, exchanging expertise, and developing future academic collaborations.
AIDME-2026 welcomes researchers, faculty members, postdoctoral scholars, graduate students, and other members of the academic community whose work relates to digital modelling, artificial intelligence, computational science, or energy. Colleagues from national laboratories and industrial research and development groups are also encouraged to participate.
Contributions may address fundamental theory, methodological development, computational frameworks, experimental–computational integration, or applications to specific energy materials, processes, technologies, and systems. Through its scientific programme, AIDME-2026 aims to provide a constructive setting for sharing research, exchanging expertise, and developing future academic collaborations.
Conference directions and scope
Artificial Intelligence & Data Science
- Machine Learning and Deep Learning
- Scientific Machine Learning
- Physics-Informed AI
- Explainable and Trustworthy AI
- Data Analytics and Knowledge
- AI for Energy Applications
Digital Modelling & Scientific Computing
- Physics-Based Modelling
- Data-Driven and Hybrid Modelling
- Multiscale and Multiphysics Simulation
- Reduced-Order and Surrogate Models
- High-Performance Computing
- Digital Twins
Energy Materials & Advanced Manufacturing
- Energy Conversion Materials
- Battery and Storage Materials
- Catalysis and Electrochemistry
- Functional and Smart Materials
- Materials Informatics
- AI-Guided Materials Design
Sustainable Energy Systems
- Renewable Energy Technologies
- Hydrogen Production and Storage
- Energy Storage Systems
- Power Generation and Distribution
- Energy Efficiency
- Integrated Energy Systems
Subsurface Energy & Porous Media
- Multiphase Flow and Transport
- Porous Media Modelling
- Geothermal Energy Systems
- Oil and Gas Innovation Technologies
- Resource Recovery
- Reservoir Characterisation
Carbon Management & Environmental Sustainability
- Carbon Capture, Utilisation and Storage (CCUS)
- Decarbonisation Technologies
- Environmental Monitoring
- Sustainable Resource Management
- Risk Assessment and Uncertainty Analysis
- Climate and Energy Transition Studies
Keynote Speakers
Esteemed invited keynote speakers, renowned experts in their fields, will share groundbreaking insights and latest advancements, inspiring meaningful discussions and collaborations.
- Prof. Ann MuggeridgeImperial College London, London, United Kingdom; The President-Elect of the InterPore
- Prof. Weihua LiFudan University, Shanghai, China
- Prof. Jiajia ZhouSouth China University of Technology, Guangzhou, China
- Prof. Xian KongSouth China University of Technology, Guangzhou, China
- Prof. Zhongqi LuChina University of Petroleum, Beijing, China
- Prof. Longlong LiInstitute of Mechanics, Chinese Academy of Sciences, Beijing, China
- Prof. Zhenghao WuXi'an Jiaotong-Liverpool University, Suzhou, China
- Prof. Aidarkhan KaltayevSatbayev University, Almaty, Kazakhstan
- Nurlybek MursaliyevPhD, Founder and CEO of Biodock
- Galymzhan IssabekovMD, Charité Universitätsmedizin Berlin, Germany; Co-founder and Vice president of QIST association
- Taskyn AbitkazyPhD, Senior Engineer at the Department of AI Research, PetroChina Research Institute of Petroleum Exploration and Development
- Prof. Yue YuanNingbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China
- Prof. Donovan ChaffartEastern Institute of Technology, Ningbo, China
- Dr. Marina KonuhovaInstitute of Solid State Physics, University of Latvia (Latvia)
- Prof. Popov AnatoliInstitute of Solid State Physics, University of Latvia (Latvia)
- Dr. Stéfan ColombanoLeading Research Engineer, BRGM – French Geological Survey, France
- Thomas OppeneauHead of Process Control Department, JV KATCO LLP
- Dr. Sagyn OmirbekovLeading Researcher, National Laboratory Astana, Nazarbayev University
How to register
Pre-registration / Expression of Interest
Complete the online Pre-registration Form to express your interest in attending AIDME-2026.
Pre-registration helps the Organising Committee estimate attendance, plan conference capacity, and keep participants informed about important conference updates. Please note that this is not the final conference registration, and no payment is required at this stage.
By completing the pre-registration form, you will be among the first to receive official announcements regarding the opening of registration, payment instructions, programme updates, important deadlines, and other conference information.
Pre-registration deadline: 15th July
After submitting the form, a confirmation email will be sent to the email address you provided. Please ensure that your contact information is accurate so that you receive future conference announcements.
Formal Registration & Payment (Coming Soon)
Formal conference registration will open after the administrative arrangements have been finalised.
Registration Fees
International participants: USD 300
Residents of Kazakhstan: KZT 150,000
Students of higher education institutions in Kazakhstan: KZT 50,000
The registration fee includes:
- Participation in scientific sessions
- Poster sessions
- Conference materials
- Coffee breaks
- Other conference-related arrangements
Nazarbayev University faculty, researchers, staff, and students may attend free of charge. A limited number of discounted registrations may be available for participants requiring financial support, subject to review and approval by the Organising Committee. Once registration opens, all pre-registered participants will receive information about:
- Payment procedures
- Invoice issuance
- Payment confirmation
- Final conference programme and logistics
Publications
AIDME-2026 does not publish conference proceedings or require full-paper submissions. Instead, participants are encouraged to develop their presented work into full journal articles and submit them to the following peer-reviewed and recommended journals:
- Advances in Geo-Energy ResearchIF: 11.2; CiteScore: 11.6
Scopus Q1Publisher: Yandy Scientific Press - Computers, Materials & Continua (CMC)IF: 2.4; CiteScore: 6.6
Scopus Q1Publisher: Tech Science Press - International Journal of Condensed Matter Physics1
1Publisher: SciLight Press - CapillarityIF: 6.7; CiteScore: 7.3
Scopus Q2Publisher: Yandy Scientific Press - Smart Chemical Engineering1
1Publisher: SciLight Press - The Innovation Physics1
1Publisher: Innovation Press
Welcome Remarks
It is our great pleasure to welcome you to the International Conference on AI & Digital Modelling in Energy (AIDME-2026), hosted at Nazarbayev University in Astana, Kazakhstan, from 5 to 8 August 2026. The conference brings together researchers, scholars, and students to share recent progress and exchange ideas on the application of digital modelling and artificial intelligence to energy science and engineering.
Recent advances in physics-based modelling, data-driven methods, machine learning, and high-performance computing are opening new possibilities for describing, predicting, and optimising complex energy materials, processes, and systems. These developments connect research across a broad range of scales and disciplines, from molecular and materials design to chemical processes, flow and transport in porous media, subsurface systems, power networks, and integrated energy infrastructure. At the same time, important challenges remain in combining physical knowledge with data, developing reliable and interpretable models, quantifying uncertainty, and translating computational advances into sound scientific understanding and practical solutions. Addressing these questions calls for closer interaction among research communities that have often developed along separate disciplinary paths.
AIDME-2026 aims to provide an academic forum for discussing these challenges, presenting new methods and applications, and encouraging collaboration across energy-related fields. The programme will feature keynote and invited lectures, contributed oral and poster presentations, focused discussions, and selected hands-on sessions. Special events will include the official establishment and launch of the InterPore Kazakhstan Chapter and the 2nd China–Kazakhstan Symposium on Carbon Capture, Utilisation and Storage and Oil & Gas Innovation Technologies. Over four days, we hope participants will enjoy thoughtful scientific exchange, constructive discussion, and opportunities to establish new research connections in a collegial environment.
Recent advances in physics-based modelling, data-driven methods, machine learning, and high-performance computing are opening new possibilities for describing, predicting, and optimising complex energy materials, processes, and systems. These developments connect research across a broad range of scales and disciplines, from molecular and materials design to chemical processes, flow and transport in porous media, subsurface systems, power networks, and integrated energy infrastructure. At the same time, important challenges remain in combining physical knowledge with data, developing reliable and interpretable models, quantifying uncertainty, and translating computational advances into sound scientific understanding and practical solutions. Addressing these questions calls for closer interaction among research communities that have often developed along separate disciplinary paths.
AIDME-2026 aims to provide an academic forum for discussing these challenges, presenting new methods and applications, and encouraging collaboration across energy-related fields. The programme will feature keynote and invited lectures, contributed oral and poster presentations, focused discussions, and selected hands-on sessions. Special events will include the official establishment and launch of the InterPore Kazakhstan Chapter and the 2nd China–Kazakhstan Symposium on Carbon Capture, Utilisation and Storage and Oil & Gas Innovation Technologies. Over four days, we hope participants will enjoy thoughtful scientific exchange, constructive discussion, and opportunities to establish new research connections in a collegial environment.
Call for Sponsorship
AIDME-2026 welcomes sponsors and partners interested in artificial intelligence, digital modelling, computational science, energy innovation, and sustainable technology development.
Sponsoring AIDME-2026 provides an opportunity to connect with researchers, students, engineers, technology developers, energy specialists, universities, laboratories, industry partners, and international collaborators. Sponsors can increase their visibility, present their expertise and technologies, engage with young talent, and support scientific exchange and collaboration at the intersection of AI, digital transformation, and energy research.
AIDME-2026 will prioritize sustainable and digital forms of sponsor visibility, including website recognition, digital materials, QR-code access, opening-slide acknowledgements, and online promotion.
Sponsors may support student participation, poster awards, invited speakers, panel discussions, technical sessions, coffee breaks, the conference banquet, or other conference activities. Customized sponsorship formats may also be discussed with the Organizing Committee.
Sponsoring AIDME-2026 provides an opportunity to connect with researchers, students, engineers, technology developers, energy specialists, universities, laboratories, industry partners, and international collaborators. Sponsors can increase their visibility, present their expertise and technologies, engage with young talent, and support scientific exchange and collaboration at the intersection of AI, digital transformation, and energy research.
AIDME-2026 will prioritize sustainable and digital forms of sponsor visibility, including website recognition, digital materials, QR-code access, opening-slide acknowledgements, and online promotion.
Sponsors may support student participation, poster awards, invited speakers, panel discussions, technical sessions, coffee breaks, the conference banquet, or other conference activities. Customized sponsorship formats may also be discussed with the Organizing Committee.
Benefits
Bronze
Silver
Gold
Platinum
Sponsor logo on conference website
Sponsor logo in digital conference materials and opening slides
Acknowledgement in conference social media / announcements
Complimentary conference registrations
1
2
3
5
Invitation to conference banquet
1
2
3
5
Sponsor profile on conference website
Logo only
Short profile
Extended profile
Featured profile
Sponsor / partner presentation or technology showcase
Up to 10 min
Up to 20 min
Up to 30 min
Up to 60 min
Participation in industry / technology panel, subject to programme fit
Workshop or technology demonstration opportunity
Optional by agreement
Student award / poster award sponsorship recognition
Optional by agreement
Suggested sponsorship contribution
< 2,000,000 KZT
2,000,000–5,000,000 KZT
5,000,000–10,000,000 KZT
> 10,000,000 KZT
Scientific Committee
Prof. Zhumabay Bakenov
Chair
Institute of New Materials and Energy Technologies (INMET), Nazarbayev University
Prof. Huseyin Atakan Varol
Co-Chair
Institute of Smart Systems and Artificial Intelligence (ISSAI), Nazarbayev University
Prof. Shazim Ali Memon
Co-Chair
School of Engineering and Digital Sciences, Nazarbayev University
Chair
Institute of New Materials and Energy Technologies (INMET), Nazarbayev University
Prof. Huseyin Atakan Varol
Co-Chair
Institute of Smart Systems and Artificial Intelligence (ISSAI), Nazarbayev University
Prof. Shazim Ali Memon
Co-Chair
School of Engineering and Digital Sciences, Nazarbayev University
Prof. Yanwei Wang
Nazarbayev University
Prof. Woojin Lee
Nazarbayev University
Prof. Bakbergen Bekbau
L.N. Gumilyov Eurasian National University
Prof. Yerzhan Belyayev
Al-Farabi Kazakh National University
Dr. Sagyn Omirbekov
National Laboratory Astana, Nazarbayev University
Dr. Baktiyar Soltabayev
Institute of New Materials and Energy Technologies (INMET), Nazarbayev University
Prof. Masoud Riazi
Nazarbayev University
Prof. Ton Duc Do
Nazarbayev University
Prof. Yerlan Amanbek
Nazarbayev University
Prof. Madina Tungatarova
Satbayev University
Prof. Jamilya Ismailova
Kazakh-British Technical University
Dr. Mirat Karibayev
National Laboratory Astana, Nazarbayev University
Organizing Committee
- Prof. Yanwei WangAssociate Professor, Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University
Acting Director, Center for Energy and Advanced Materials Science, National Laboratory Astana
Head, Center of Digital Modelling and AI in Energy, Institute of New Materials and Energy Technologies (INMET)
Email: yanwei.wang@nu.edu.kz
Homepage: https://research.nu.edu.kz/en/persons/yanwei-wang
- Dr. Sagyn OmirbekovLeading Researcher, Center for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University
- Prof. Longlong LiInstitute of Mechanics, Chinese Academy of Sciences, Beijing, China
- Dr. Mirat KaribayevNational Laboratory Astana, Nazarbayev University
- Dias BekeshovPhD Student, Nazarbayev University
- Elnara BaktybayResearch Assistant, Nazarbayev University
- Khaknazar ToktarovResearch Assistant, Nazarbayev University
- Aizada MelsResearch Assistant, Nazarbayev University
Dana Sydyk
Research Assistant, Nazarbayev University
Lazzat Amangaliyeva
Research Assistant, Nazarbayev University
Ainabat Mukan
Research Assistant, Nazarbayev University
Research Assistant, Nazarbayev University
Lazzat Amangaliyeva
Research Assistant, Nazarbayev University
Ainabat Mukan
Research Assistant, Nazarbayev University
Tilda Publishing
Contact us
yanwei.wang@nu.edu.kz
Nazarbayev University, Block 3, Office 555
Kabanbay batyr ave. 53, Astana, Kazakhstan
Nazarbayev University, Block 3, Office 555
Kabanbay batyr ave. 53, Astana, Kazakhstan