2026 10th International Conference on Reliability Engineering (ICRE 2026)
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About this event
2026 10th International Conference on Reliability Engineering (ICRE 2026)
Dates: July 19–21, 2026 | Venue: Hangzhou, China
Event Overview
The 10th International Conference on Reliability Engineering (ICRE 2026) will convene in Hangzhou, China, from July 19 to 21, 2026. Themed "Reliability Engineering for a Sustainable Future: From Classical Reliability to Intelligent, Resilient Systems", this conference is sponsored by the Shenzhen Weimin Reliability Systems Engineering Institute and the Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3) at Politecnico di Milano, Italy. It is co-sponsored by Beihang University and Harbin Institute of Technology, China, with technical sponsorship from the IEEE Reliability Society.
Key Focus Areas
- Evolution from classical reliability models to AI-driven, resilient systems
- Applications in aerospace, industrial manufacturing, and smart infrastructure
- AI-driven operation and maintenance, multiphysics modeling, and uncertainty quantification
- Prognostics, health management, and fault diagnosis in complex systems
- Sustainability, risk assessment, and resilience in renewable energy and critical infrastructure
Target Audience
- Global researchers and academics in reliability engineering
- Industry professionals and engineers from manufacturing, aerospace, energy, and IT sectors
- Policy makers and stakeholders in sustainable technological development
- Students and early-career professionals in engineering disciplines
Special Sessions
- Industrial AI-Driven Operation and Maintenance
- Multiphysics Modeling, Uncertainty Quantification, and Intelligent Health Management
- Physics-Informed Machine Learning for Prognostics and Health Management
- Data-Driven Soft Computing in Renewable Energy Forecasting
- Multimodal Foundation Models for Digital Twin-Integrated PHM
- Explainable AI for Aerospace and Avionic Systems
- Artificial Intelligence for Fault Diagnosis in Complex Systems
- Belief Reliability Theory and Applications
- Physics-Informed Digital Twin for Nuclear and Renewable Energy Systems
- Reliability, Safety, and Uncertainty Management in Aviation and New Energy
- Resilience of Oil and Natural Gas Pipeline Networks
- Renewable Energy Systems Under Uncertainty
- Intelligent Operation & Maintenance for Ships and Marine Engineering
- Resilience of Industrial Cyber-Physical Systems
- Secondary Risks and Resilient Decision-Making in Complex Systems
- Passive Safety Systems for Nuclear Power Plants
- Advanced Statistical Methods in Reliability Engineering
- Complex Systems Engineering and Equipment Safety Assurance
- Integrated Technology for Intelligent Diagnosis and Testability Design
- Structural Risk Assessment and Sustainability Under Disasters
- Reliable Fault Diagnosis and Safety Fault-Tolerant Control
- Integrated Support Engineering and Maintenance Optimization
Why Attend?
ICRE 2026 serves as a premier platform for academic-industrial collaboration, fostering advancements in reliability engineering. Attendees will engage with cutting-edge research, practical applications, and future trends while networking with global experts. The conference emphasizes sustainable solutions, intelligent systems, and resilience across diverse industries.
Contact & Registration
Email: icre_conf@outlook.com
Phone: +86-18010667294
Official Website: https://www.icre.org/
Visit the official website for registration, paper submission guidelines, and program details.
Data sheet
2026 10th International Conference on Reliability Engineering (ICRE 2026) – Event Attendee & Buyer Profile Analysis
Event date: July 19–21, 2026
Location: Hangzhou, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 10th International Conference on Reliability Engineering (ICRE 2026) |
| Event Date | July 19–21, 2026 |
| Event Status | Upcoming |
| Venue | Hangzhou International Innovation Institute of Beihang University (user-supplied event detail; official website text reviewed confirms Hangzhou, China but does not explicitly name the venue in the extracted content) |
| City | Hangzhou |
| State / Region | Zhejiang Province |
| Country | China |
| Organizer | Official website identifies sponsorship by Shenzhen Weimin Reliability Systems Engineering Institute and LASAR3 at Politecnico di Milano; co-sponsorship by Beihang University and Harbin Institute of Technology; technical sponsorship by IEEE Reliability Society. A separate lead organizer name is not clearly stated in the extracted official text. |
| Official Event Website | icre.org |
| Event Type | International academic and industry conference |
| Primary Category | Science & Research |
| Secondary Applicable Categories | Industrial Engineering; IT & Technology; Power & Energy |
| Audience Reach | International / global technical conference with strong China host-market relevance |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; high for dates, city, country, theme, sponsorship structure, and conference focus areas based on official event website text |
| Main Purpose of Event | To convene researchers, engineers, academics, and industry professionals to exchange research, applied methods, and collaboration opportunities in reliability engineering, resilience, prognostics and health management, AI-enabled maintenance, and risk assessment across complex engineering systems. |
About the Event
ICRE 2026 is the 10th edition of an international conference focused on reliability engineering and its evolution toward intelligent, resilient, and sustainable systems. The official event theme emphasizes the shift from classical reliability models to AI-driven methods, with technical coverage spanning aerospace, industrial manufacturing, smart infrastructure, renewable energy, nuclear systems, marine engineering, industrial cyber-physical systems, and digital-twin-enabled prognostics and health management.
For commercial teams, this is primarily a high-value technical and research-led networking event rather than a large-scale expo. It matters most for organizations selling reliability software, simulation tools, testing systems, asset performance solutions, predictive maintenance platforms, industrial AI, engineering services, condition monitoring, academic collaboration, and advanced R&D support. Procurement activity is likely to be specialized and project-driven, with strong relevance for universities, research labs, engineering institutes, and industrial technology teams.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Engineering universities, applied research schools, reliability labs | Influence specification, research tools, lab equipment, software evaluation, joint projects | High for technical software, instrumentation, simulation, grants, and collaborative R&D offerings |
| Industrial reliability and maintenance engineers | Manufacturing firms, energy operators, aerospace companies, marine engineering groups | Evaluate condition monitoring, PHM, maintenance optimization, diagnostics, and reliability methods | Very relevant for predictive maintenance, testing, analytics, and engineering consulting vendors |
| R&D and systems engineering leaders | Aerospace, electronics, energy, industrial systems, digital twin programs | Influence platform selection, pilot partnerships, technology roadmaps | High-value technical buyer group for long-cycle enterprise sales |
| Prognostics and health management specialists | Industrial AI teams, asset health teams, digital engineering groups | Assess monitoring models, sensor data platforms, explainable AI, fault diagnosis solutions | Core target segment for PHM, edge analytics, and reliability software providers |
| Testing, validation, and quality teams | Labs, OEMs, component manufacturers, certification programs | Specify test equipment, reliability validation methods, data systems | Relevant to hardware test vendors, materials labs, and quality engineering suppliers |
| Energy and infrastructure resilience specialists | Renewable energy operators, nuclear engineering groups, infrastructure institutes | Influence risk models, resilience frameworks, monitoring technologies | Important segment for resilience analytics, risk software, and infrastructure diagnostics |
| Academic-industry collaboration managers | Universities, institutes, technical societies, innovation centers | Facilitate partnerships, sponsored research, technology transfer | Useful for alliance building and co-development outreach |
| Technical society and standards stakeholders | IEEE society representatives, engineering associations | Influence visibility, credibility, standards discussions, publication channels | Relevant for thought leadership and ecosystem positioning rather than direct transactional sales |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Hangzhou | Local universities, innovation institutes, engineering researchers, advanced manufacturing and digital economy professionals | Medium | Host-city advantage supports attendance from local academic and technology communities |
| Zhejiang Province | Regional engineering schools, manufacturing bases, energy and industrial system stakeholders | Medium to High | Likely regional feeder market for industry-academic technical attendance |
| Yangtze River Delta | Attendees from Shanghai, Suzhou, Nanjing, Ningbo and nearby industrial corridors | High | Strong concentration of manufacturing, electronics, industrial systems, and research institutions |
| China nationwide | Universities, institutes, aerospace, energy, marine, industrial AI and reliability researchers | High | Co-sponsorship by major Chinese universities supports national research visibility |
| International | Researchers and technical stakeholders from Europe and other regions | Medium | International sponsorship links include LASAR3 at Politecnico di Milano and IEEE Reliability Society |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event explicitly positions itself as an international conference gathering global researchers, engineers, industry professionals, and academics. |
| National | Strong secondary reach | China is likely the largest attendance base due to host location, co-sponsoring universities, and accessibility for domestic engineering communities. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Shenzhen Weimin Reliability Systems Engineering Institute | Research / engineering institute | Officially listed as a sponsor; likely central to technical and organizational participation | icre.org | Director, Research Lead, Reliability Engineer, Program Chair, Collaboration Manager | Confirmed Sponsor / Exhibitor |
| LASAR3, Politecnico di Milano | Academic research laboratory | Officially listed as a sponsor; relevant for advanced reliability, risk and resilience collaborations | polimi.it | Professor, Lab Director, Research Scientist, Project Manager | Confirmed Sponsor / Exhibitor |
| Politecnico di Milano | University / research buyer | Home institution of LASAR3; relevant for research software, instrumentation, and collaboration opportunities | polimi.it | Head of Department, Professor, Research Procurement, Lab Manager | Confirmed Sponsor / Exhibitor |
| Beihang University | University / aerospace engineering buyer | Officially listed as co-sponsor; highly relevant for reliability, aerospace, and digital engineering research demand | buaa.edu.cn | Professor, Dean, Lab Director, Reliability Research Lead, Procurement Office | Confirmed Sponsor / Exhibitor |
| Hangzhou International Innovation Institute of Beihang University | Innovation institute / venue host organization | User-provided venue detail indicates likely host-site relevance for local attendance, labs, and partnership outreach | h3i.buaa.edu.cn | Institute Director, Lab Manager, Innovation Program Lead, Research Operations | Confirmed Current-Year Participant |
| Harbin Institute of Technology | University / engineering research buyer | Officially listed as co-sponsor; relevant for engineering research procurement and technical partnerships | hit.edu.cn | Professor, Research Director, Systems Engineer, Procurement Office | Confirmed Sponsor / Exhibitor |
| IEEE Reliability Society | Technical society / standards and thought leadership organization | Official technical sponsor; useful for credibility, standards, publication and technical community access | rs.ieee.org | Society Chair, Technical Program Lead, Standards Contributor, Chapter Leader | Confirmed Sponsor / Exhibitor |
Official current-year public materials reviewed provide limited organization-level attendee disclosure beyond sponsors, co-sponsors, technical sponsor, and host-linked institution references. This is not a confirmed attendee list for the full 2026 edition.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Reliability Engineer | Engineering / R&D | Manager to Individual Contributor | Core technical end-user and evaluator of reliability methods, software, and test workflows |
| 2 | Director of Reliability Engineering | Engineering | Director | Owns tool selection, methodology adoption, and strategic technical partnerships |
| 3 | PHM / Predictive Maintenance Lead | Operations / Digital Engineering | Manager to Director | Strong fit for AI-driven diagnostics, asset health, and maintenance optimization solutions |
| 4 | Systems Engineering Manager | Systems Engineering | Manager | Relevant where reliability is embedded in complex systems design and assurance |
| 5 | Head of Research Laboratory | Research | Director / Head | Controls research budgets, instrumentation, and collaboration agreements |
| 6 | Professor / Associate Professor | Academic Research | Senior | Influences grants, lab adoption, publications, and university-industry collaboration |
| 7 | R&D Director | Research & Development | Director / VP | High-value contact for enterprise pilots, simulation tools, and reliability analytics platforms |
| 8 | Asset Integrity / Maintenance Engineering Manager | Operations / Maintenance | Manager | Critical role for industrial and energy operator use cases |
| 9 | Quality and Test Engineering Manager | Quality / Validation | Manager | Relevant for test systems, data capture, validation, and certification processes |
| 10 | Research Procurement / Lab Operations Manager | Procurement / Operations | Manager | Useful for equipment, software, and services procurement in university or institute settings |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for conference participants from labs and technical institutes | R&D collaboration, software, instrumentation, consulting |
| 2 | Higher Education | Universities are major sponsors and likely attendee anchors | Lab tools, academic partnerships, simulation platforms |
| 3 | Aviation & Aerospace | Official agenda themes include aerospace and avionic systems reliability | PHM, safety assurance, reliability modeling, digital twin solutions |
| 4 | Mechanical or Industrial Engineering | Broad fit for reliability, fault diagnosis, and equipment safety | Maintenance optimization, testability design, systems assurance |
| 5 | Industrial Automation | Digital maintenance and cyber-physical systems are direct agenda themes | Monitoring, AI diagnostics, controls reliability |
| 6 | Oil & Energy | Pipeline network resilience and energy system reliability are named topics | Asset integrity, resilience analytics, hazard assessment |
| 7 | Renewables & Environment | Renewable energy forecasting and reliability are explicit special session themes | Forecasting, performance analytics, resilience under uncertainty |
| 8 | Electrical/Electronic Manufacturing | High relevance for components, RF modules, fault tolerance, and testability | Reliability validation, component modeling, lifecycle testing |
| 9 | Computer Software | AI, simulation, digital twins, and analytics platforms are central to the program | Reliability modeling, PHM, risk and uncertainty software |
| 10 | Information Technology & Services | Relevant for industrial AI, data systems, and digital engineering services | System integration, analytics deployment, technical services |
| 11 | Utilities | Nuclear, infrastructure, and power system reliability use cases align | Grid resilience, plant reliability, fault prevention |
| 12 | Maritime | Marine engineering equipment reliability is explicitly named | Shipboard maintenance, monitoring, and safety assurance |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not publicly confirmed | Official website text reviewed | No numeric attendance claim should be made without organizer disclosure |
| Exhibitor count | Not publicly confirmed | Not publicly confirmed | Official website text reviewed | This appears to be a conference rather than a trade show with a formal expo hall |
| Buyer count | Not publicly confirmed | Not publicly confirmed | Official website text reviewed | Buyer activity is likely specialized and technical rather than mass procurement-driven |
| Speaker count | Not publicly confirmed in reviewed text | Not publicly confirmed | Official website menu indicates speaker/program sections, but reviewed extract did not list totals | Speaker roster should be checked closer to the event if list-based targeting is needed |
| Sponsor count | 5 named sponsor/co-sponsor/technical sponsor entities | Confirmed | Official website text reviewed | Shenzhen Weimin Reliability Systems Engineering Institute; LASAR3; Beihang University; Harbin Institute of Technology; IEEE Reliability Society |
| Historical attendance | Not verified from the reviewed source set | Historical / prior-year evidence unavailable in reviewed material | Official website extract reviewed | Organizer history page exists but was not included in the supplied primary-source text |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Reliability engineering methodology | Improved modeling, validation, uncertainty handling | Research demos, technical workshops, academic pilots | Reliability software, simulation tools, statistical analysis platforms |
| AI-driven operation and maintenance | Predictive maintenance, failure prediction, optimization | Use-case discussions with maintenance and digital engineering leads | PHM platforms, anomaly detection, analytics services |
| Digital twins and PHM | System-level visibility, virtual testing, health tracking | Joint pilot opportunities with labs and engineering teams | Digital twin software, sensor integration, model-based diagnostics |
| Aerospace and avionics reliability | Safety assurance, explainable AI, complex system reliability | High-value conversations with aerospace research and systems teams | Certification support, simulation, safety analytics, fault diagnosis |
| Renewable and nuclear energy reliability | Resilience assessment, safety systems, forecasting under uncertainty | Target plant engineering, utility R&D, and resilience research groups | Risk software, monitoring systems, reliability consulting |
| Industrial cyber-physical systems | Cascading failure prevention, resilience, integrated diagnostics | Cross-sell to automation, OT, and system assurance leaders | Industrial AI, controls assurance, reliability analytics |
| Marine engineering and ship systems | Equipment monitoring, maintenance optimization, safety | Niche but high-value technical engagement | Condition monitoring, digital maintenance, engineering services |
| Advanced statistical methods | Robust analysis, uncertainty quantification, model validation | Technical workshops and software evaluations | Statistical software, data science support, training |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong fit for specialized reliability, simulation, testing, and PHM solutions; less suitable for broad non-technical offerings |
| Decision-maker availability | Medium | Technical decision-makers are likely present; pure commercial procurement executives may be fewer than at large trade expos |
| Data collection potential | Medium | Public current-year attendee disclosure is limited, so list-building depends on speaker pages, paper authors, sponsors, and post-event follow-up |
| Apollo targeting potential | High | Event themes translate well into title, department, and industry-based account targeting |
| Geographic targeting potential | High | China, Zhejiang, Yangtze River Delta, and global research institutions are practical targeting layers |
| Best outreach approach | High | Use technical-value messaging: research support, reliability improvement, case studies, pilots, and collaboration framing |
| Overall lead quality | High | High-quality niche audience; best for precision ABM and technical solution outreach rather than mass lead volume |
| Best use case | High | Account-based outreach to research institutions, engineering labs, aerospace and energy reliability teams |
| Limitations / risks | Medium | Not ideal for broad attendee list sales unless additional official speaker, author, or participant directories become available |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Aviation & Aerospace; Mechanical or Industrial Engineering; Industrial Automation; Oil & Energy; Renewables & Environment; Electrical/Electronic Manufacturing; Computer Software; Information Technology & Services; Utilities; Maritime | Align outreach with reliability engineering demand centers |
| Departments | Engineering; Research; Operations; Maintenance; Information Technology; Quality Assurance; Procurement | Capture both technical evaluators and operational buyers |
| Seniority | Director; VP; Head; Manager; Senior; Professor-level equivalents where available | Prioritize budget and technical influence |
| Job titles | Director of Reliability Engineering; Reliability Engineer; Systems Engineering Manager; R&D Director; PHM Lead; Predictive Maintenance Manager; Asset Integrity Manager; Lab Director; Research Scientist; Quality Engineering Manager; Test Engineering Manager; Professor; Associate Professor | Narrow to event-relevant technical roles |
| Geography | China; Zhejiang; Hangzhou; Shanghai; Jiangsu; Beijing; Guangdong; Italy; broader Asia-Pacific and Europe for research collaboration campaigns | Match likely attendance origin and thematic relevance |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Focus on organizations with formal engineering or research budgets |
| Keywords | reliability engineering; prognostics; health management; PHM; digital twin; fault diagnosis; predictive maintenance; resilience; risk assessment; uncertainty quantification; safety assurance; condition monitoring | Improve precision in niche technical account discovery |
| Technologies, if relevant | AI/ML analytics; simulation platforms; industrial IoT; digital twin environments; condition monitoring systems | Helpful for software and industrial analytics vendors |
| Revenue range, if relevant | Mid-market to enterprise; use where commercial industrial buyers are targeted | Supports account prioritization for complex sales |
| Company type | Universities; research institutes; industrial operators; OEMs; engineering firms; utilities | Separates research buyers from industrial buyers |
Suggested Apollo Search Logic: ("reliability engineering" OR prognostics OR "health management" OR PHM OR "predictive maintenance" OR "digital twin" OR "fault diagnosis" OR resilience OR "risk assessment") AND (engineering OR research OR maintenance OR systems OR quality) AND (China OR Hangzhou OR Zhejiang OR Shanghai OR Beijing OR Italy).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICRE 2026 Official Website | Official event website | Event title, dates, city, country, theme, sponsor/co-sponsor structure, technical sponsor, target participant description, special session themes | High |
| Beihang-linked page referenced by official event website | Institutional reference page | The official site itself references this page alongside the event description; useful as host-linked contextual support | Medium to High |
| Politecnico di Milano | Institution website | Organizational identity of LASAR3 sponsor affiliation | High |
| IEEE Reliability Society | Association / society website | Technical sponsor identity | High |
| User-provided event details | User input | Venue name: Hangzhou International Innovation Institute of Beihang University | Medium; included with explicit note because the reviewed official website text confirmed city/country but did not explicitly state the venue in the extract provided |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 10th International Conference on Reliability Engineering (ICRE 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds