
2026 8th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2026)
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About this event
2026 8th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2026)
Dates: September 11-13, 2026
Venue: Paris, France (Venue details to be confirmed)
Official Website: https://www.amms.org/
About AMMS 2026
The 2026 8th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2026) will be jointly held with the 2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) in Paris, France. This annual conference serves as a global platform for researchers, practitioners, scholars, and professionals to exchange cutting-edge research findings and advanced methodologies in applied mathematics, modelling, simulation, and related disciplines.
AMMS 2026 aims to foster collaboration among experts, academics, and industry leaders, providing opportunities for face-to-face communication and potential partnerships. The conference welcomes original, unpublished paper submissions, abstracts for presentation-only, and delegate registrations for participation.
Important Dates
- Submission Deadline: June 30, 2026
- Notification of Acceptance: July 15, 2026
- Registration Deadline: July 30, 2026
- Conference Dates: September 11-12, 2026
- Social Program: September 13, 2026
Submission Options
Authors may submit:
- Full Paper: For publication in the conference proceedings and presentation.
- Abstract: For presentation-only (no publication).
Submission methods: Use the Electronic Submission System or email the Conference Email Box. A Paper ID will be assigned within 2 working days of receipt.
Target Audience
- Researchers in applied mathematics, modelling, and simulation
- Academics and scholars from universities and institutions
- Industry professionals and practitioners
- Business leaders seeking technical collaboration
- Delegates interested in attending without presenting or publishing
Publication Opportunities
Selected papers will be published in:
- ACM Conference Proceedings: Indexed in Ei Compendex, Scopus, and submitted to Thomson Reuters Web of Science.
- Presentation Only: Abstracts accepted for oral/poster presentations without publication.
- Best Presentation Award: Recognized at the end of each session.
Register Now
Join AMMS 2026 as a delegate, presenter, or participant and engage with a global community of mathematics and simulation experts. Register here.
Contact Information
Conference Secretary: Jamila Liu
Phone: +852-3500-0799
Email: amms@cbees.net
Working Hours: Monday–Friday, 9:30 AM–6:00 PM (UTC/GMT+08:00)
Data sheet
| Event Name | 2026 8th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2026) |
| Event Date | September 11–13, 2026 |
| Event Status | Upcoming |
| Venue | Venue details not publicly confirmed on the official event website |
| City | Paris |
| State / Region | Île-de-France |
| Country | France |
| Organizer | Organizer not clearly stated on the official event website reviewed; conference secretary listed as Jamila Liu, with contact email amms@cbees.net |
| Official Event Website | amms.org |
| Event Type | International academic conference / research conference / delegate event |
| Primary Category | Science & Research |
| Secondary Applicable Categories | Education & Training; IT & Technology |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numeric attendance; high for dates, city, country, conference scope, submission timeline, and delegate participation model based on official website text |
| Main Purpose of Event | To provide an international platform for exchanging research results, methodologies, and collaboration opportunities in applied mathematics, modelling, simulation, and related disciplines |
AMMS 2026 is the 8th edition of an annually held international conference focused on applied mathematics, modelling, simulation, and adjacent research areas. According to the official event website, the 2026 edition will be jointly held with the 2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) in Paris, France, from September 11 to 13, 2026. The program supports multiple participation paths, including full paper submission, abstract-only presentation, and delegate attendance.
From a commercial and attendee-intelligence perspective, AMMS 2026 is best viewed as a specialist knowledge-exchange event rather than a broad trade show. The strongest participant groups are expected to be university researchers, research institutes, technical professionals, data and modelling specialists, and innovation-focused industry participants. It is relevant for lead generation where the offer targets scientific software, simulation tools, advanced computing, analytics, academic publishing, research partnerships, technical training, or R&D collaboration, but less suitable for high-volume exhibitor-driven attendee list building because current-year buyer, sponsor, and exhibitor rosters are not publicly confirmed on the official site reviewed.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and faculty | Universities, engineering schools, mathematics departments, interdisciplinary research centers | Influence software adoption, research methods, collaboration tools, publication channels, and lab technology choices | High relevance for simulation software, data analytics, academic tools, cloud compute, and technical training providers |
| Research scientists and postdoctoral teams | Public and private research institutes, labs, scientific consortia | Evaluate technical performance, datasets, methods, and research partnerships | Strong fit for scientific computing platforms, HPC services, modeling frameworks, and data management tools |
| Graduate students and PhD candidates | Universities and doctoral programs | End users and future adopters; may influence advisor-led purchasing decisions | Useful for awareness, future pipeline, software trial adoption, and training engagement |
| Industry R&D and innovation teams | Engineering firms, manufacturing companies, aerospace, automotive, telecom, energy, finance analytics teams | Assess applied methods for optimization, forecasting, digital twins, and computational simulation | High-value targets for technical software vendors and advanced analytics solution providers |
| Data science and quantitative modeling professionals | Technology companies, research labs, financial modeling teams, optimization groups | Recommend or champion tools, compute environments, APIs, and workflow platforms | Relevant for AI, analytics, optimization, and cloud infrastructure offerings |
| Conference delegates and non-presenting participants | Cross-sector professional attendees registering to listen and network | Limited direct procurement authority but useful for networking and partnership building | Moderate value for awareness campaigns and partnership outreach |
| Publishers and scholarly communications stakeholders | Academic publishers, proceedings partners, indexing-related stakeholders | Influence publication routes and conference content dissemination | Relevant for publishing services, abstract management, and research dissemination tools |
| Institutional partnership and program leaders | Research networks, departments, conference committees, collaborative programs | Influence sponsorship, institutional participation, and recurring adoption decisions | Useful for strategic partnerships, co-marketing, and long-cycle account development |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Paris | Local academics, research institutes, technical universities, innovation ecosystem participants | High | Host city is a major European research, education, and innovation hub |
| Île-de-France | Regional universities, laboratories, public research bodies, engineering institutions | High | Likely regional feeder market for same-country attendance |
| France | National academic, engineering, and applied research communities | High | Country-wide reach is likely due to conference topic breadth and Paris location |
| Western and Central Europe | Nearby researchers and technical delegates from EU and neighboring countries | Medium to High | Paris is accessible for intra-European participation and collaboration |
| Asia-Pacific | International authors, presenters, and delegates | Medium | Official website states the conference welcomes participants from all over the world |
| North America and other global markets | Selective international attendance from research-active institutions and global technical communities | Medium | International reach is confirmed qualitatively, but geographic mix is not publicly quantified |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website states the conference welcomes researchers, practitioners, and professionals from all over the world. The event is international in theme, participation model, and academic positioning. |
| European | Secondary practical concentration | Paris likely increases practical participation from France and nearby European research institutions, even though detailed attendee origin data is not publicly confirmed. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Association for Computing Machinery (ACM) | Publishing / proceedings organization | Official website states AMMS 2026 papers are confirmed for publication in conference proceedings by ACM | acm.org | Proceedings Manager, Publications Manager, Conference Publishing Lead, Partnerships Manager | Confirmed Sponsor / Exhibitor |
| No current-year attendee, speaker-organization, exhibitor, or buyer-company list publicly confirmed on the official website reviewed | Data gap | The official site confirms delegate participation and paper submission, but does not publish a current-year buyer-side organization roster in the material reviewed | amms.org | Research Director, Professor, R&D Lead, Data Science Lead, Innovation Manager | Confirmed current-year participant categories, not confirmed named organizations |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Faculty Lead | Academic / Research | Director, VP, Head, Individual Contributor | Often drives research direction, collaboration choices, software preference, and lab-level adoption |
| 2 | Research Director | Research & Development | Director, Head | Controls program priorities, external partnerships, and tool evaluation for research groups |
| 3 | Principal Scientist / Senior Scientist | Research | Senior, Manager | Key evaluator of simulation methods, modeling frameworks, datasets, and computing environments |
| 4 | Data Science Lead | Data / Analytics | Manager, Director, Head | Relevant where applied mathematics overlaps with analytics, machine learning, optimization, and forecasting |
| 5 | R&D Manager | Research & Development | Manager, Director | Strong target in industry accounts using simulation, testing, optimization, or computational engineering |
| 6 | Simulation Engineer | Engineering / Product / R&D | Individual Contributor, Manager | Daily user persona for modeling and simulation software, methods, and compute tools |
| 7 | Head of Department | Academic / Administration | Director, Head | Can influence departmental purchases, event participation, and institutional partnerships |
| 8 | Innovation Manager | Innovation / Strategy | Manager, Director | Relevant for commercializing research methods and identifying external solution partners |
| 9 | CTO / Chief Scientist | Executive / Technology | C-Level | High-value targets in technical firms where applied mathematics drives product, algorithm, or engineering decisions |
| 10 | Conference / Publications Manager | Events / Publications | Manager, Director | Relevant for publishing, conference systems, registration technology, and proceedings services |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Core source of authors, delegates, department leaders, and faculty participants | Academic research tools, software licenses, data platforms, training |
| 2 | Research | Direct match for research institutes, scientific centers, and applied modeling groups | Simulation, modeling, data pipelines, collaboration infrastructure |
| 3 | Information Technology & Services | Relevant for analytics, computational platforms, technical services, and enterprise research support | Cloud, research IT, managed analytics, modeling support |
| 4 | Computer Software | Strong fit for mathematical computing, simulation, optimization, and scientific software providers | Technical software sales and partnerships |
| 5 | Mechanical or Industrial Engineering | Modeling and simulation have strong engineering and process optimization relevance | CAE, simulation, industrial optimization tools |
| 6 | Aviation & Aerospace | High applied use of advanced modeling, uncertainty analysis, and simulation environments | Engineering simulation and digital twin use cases |
| 7 | Automotive | Applied mathematics and simulation are central to testing, optimization, and autonomous systems | Vehicle simulation, optimization, predictive modeling |
| 8 | Telecommunications | Quantitative modeling is relevant to network planning, optimization, and analytics | Network simulation, optimization, data modeling |
| 9 | Financial Services | Quantitative methods and simulation are relevant in risk, forecasting, and algorithmic modeling | Quant analytics, risk modeling, forecasting solutions |
| 10 | Utilities | Grid, network, and infrastructure modeling use cases align with simulation-led procurement | Forecasting, optimization, asset modeling |
| 11 | Oil & Energy | Advanced modeling and simulation are common in operational and subsurface analysis contexts | Computational modeling and optimization solutions |
| 12 | Biotechnology | Scientific modeling is relevant in bioinformatics, systems modeling, and quantitative research | Scientific computing and advanced analytics platforms |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | Official website reviewed | No attendee count published in the source material provided |
| Exhibitor count | No public exhibitor count confirmed | Not confirmed | Official website reviewed | This appears to be a conference-first format rather than an exhibition-led format |
| Buyer count | No public buyer count confirmed | Not confirmed | Official website reviewed | Buyer-side attendance is thematic and role-based rather than explicitly published |
| Speaker count | No public speaker count confirmed in the reviewed content | Not confirmed | Official website reviewed | Navigation includes a Speakers page, but no count was provided in the source text supplied |
| Sponsor count | At least one confirmed proceedings/publishing partner reference | Partially confirmed | Official news item on publication by ACM | This confirms a publication relationship, not full commercial sponsorship scale |
| Historical attendance | No historical attendance number verified in the source material provided | Historical / prior-year evidence unavailable for count | Official website reviewed | Prior editions are mentioned, but no numeric attendance data was supplied |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Applied Mathematics | Better methods for analysis, optimization, forecasting, and quantitative research | Outreach to faculty, research leads, and quantitative teams | Math software, numerical libraries, analytics tools, training |
| Modeling | Build and validate predictive, operational, or scientific models | Demonstrate methodological accuracy, scalability, and workflow support | Modeling platforms, APIs, compute services, data integration |
| Simulation | Run scenario tests, engineering models, system behavior analysis, and validation | Target engineering and scientific simulation teams | Simulation engines, HPC environments, visualization tools |
| Research Collaboration | Cross-institution knowledge sharing and co-authorship opportunities | Partner ecosystem selling, research network development | Collaboration software, repositories, project platforms |
| Publication and Proceedings | Publish papers, manage submissions, increase academic visibility | Target conference operations and scholarly communications stakeholders | Submission systems, publishing services, indexing support tools |
| Data and Computational Infrastructure | Reliable compute environments for technical workloads | Promote cloud, storage, processing, and reproducibility capabilities | Cloud compute, GPU/HPC, data platforms, workflow automation |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong if the offer serves scientific research, simulation, technical computing, academic tools, or R&D workflows |
| Decision-maker availability | Medium | The event likely attracts domain experts and academic influencers, but not all attendees control budget directly |
| Data collection potential | Low | Publicly visible named attendee and buyer-side organization data is limited in the reviewed material |
| Apollo targeting potential | Very High | Thematic targeting by industry, research function, modeling/simulation keywords, and geography is strong |
| Geographic targeting potential | High | Paris, France, and wider Europe offer clear regional targeting logic for research-led outreach |
| Best outreach approach | High | Use topic-led messaging around modeling, simulation, publication support, and research productivity rather than generic event-attendance claims |
| Overall lead quality | Medium to High | High niche relevance, but limited official public attendee transparency reduces list certainty |
| Best use case | High | Ideal for niche B2B outreach into research and technical communities, not ideal for broad trade-show attendee list sales |
| Limitations / risks | Medium | Venue not yet confirmed publicly, no official attendance numbers, and no public current-year named attendee list in the reviewed source |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Information Technology & Services; Computer Software; Mechanical or Industrial Engineering; Aviation & Aerospace; Automotive; Telecommunications; Financial Services; Utilities; Oil & Energy; Biotechnology | Build a research and applied-simulation buyer universe aligned with event themes |
| Departments | Research; Engineering; Information Technology; Data / Analytics; Education; Operations; Innovation | Surface both academic and commercial modeling stakeholders |
| Seniority | C-Level; VP; Director; Head; Manager; Senior Individual Contributor | Prioritize budget holders and technical champions |
| Job titles | Professor, Research Director, Principal Scientist, Senior Scientist, Data Science Lead, R&D Manager, Simulation Engineer, Head of Department, Innovation Manager, CTO, Chief Scientist, Publications Manager | Capture likely AMMS-relevant attendee personas and adjacent buyers |
| Geography | France; Île-de-France; Paris; broader Europe; selected global research hubs | Start with host-region concentration, then expand to international research communities |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Focus on institutions and firms large enough to support research budgets and technical procurement |
| Keywords | applied mathematics, modelling, simulation, numerical methods, computational science, optimization, stochastic modeling, scientific computing, quantitative research, data analysis, mathematical modeling | Improve relevance where named event participation data is limited |
| Technologies, if relevant | Cloud computing, HPC, analytics platforms, AI/ML tooling, simulation environments | Useful when selling infrastructure, technical software, or compute-heavy solutions |
| Revenue range, if relevant | Mid-market to enterprise where available | Prioritize accounts with sufficient budget for technical or research tool purchases |
| Company type | Universities, research institutes, technology firms, engineering firms, enterprise R&D organizations | Aligns account selection to the event’s likely participation base |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| AMMS 2026 Official Website | Official event website | Event name, city, country, conference scope, joint holding with ICoMS 2026, dates September 11–13, 2026, conference dates September 11–12, social program September 13, submission and registration deadlines, delegate participation, ACM proceedings publication news, conference secretary contact | High |
| AMMS 2026 Official Website Navigation Review | Official site structure review | Confirmed existence of Venue, Speakers, Attendees Guide, Schedule, History, and Registration sections; however, venue name, public speaker counts, exhibitor counts, and attendee list details were not present in the supplied source text | High for absence check within provided source scope |
| Association for Computing Machinery (ACM) | Official organization website | Used only to identify organization domain for the officially referenced proceedings publisher | Medium |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 8th International Applied Mathematics, Modelling and Simulation Conference (AMMS 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.