2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026)
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About this event
2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026)
Date: September 11-13, 2026
Venue: Hangzhou, China
Sponsored by: Hangzhou International Innovation Institute of Beihang University, China
The 2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026) is a premier forum for scientists, engineers, and researchers to discuss and exchange novel ideas, results, experiences, and work-in-progress in the field of artificial intelligence in electronics engineering. The conference aims to provide an excellent opportunity for young researchers to present their work to an international audience, receive feedback from peers, and gain insights from the expertise of leaders in this critical research area. It also serves as a platform to foster new research collaborations among the global community of participants and invited delegates.
The deep integration of electronics engineering and artificial intelligence is reshaping key areas of modern industry, smart terminals, and communication technologies, driving a new wave of technological revolution and industrial transformation. AIEE has consistently focused on this cutting-edge interdisciplinary direction, offering a high-level academic exchange platform. Attendees can engage in in-depth discussions on the latest research findings, innovative technical solutions, and forward-looking exploration directions. It is particularly valuable for young scholars, providing a precious opportunity to showcase research outcomes, connect with top international experts, and obtain diverse academic feedback to expand research collaborations.
Event Highlights
- Keynote speeches from renowned experts in AI and electronics engineering
- Invited sessions and presentations from leading researchers
- Opportunities for networking and collaboration
- Publication of accepted papers in AIEE 2026 proceedings (indexed in ACM Library)
Target Audience
The conference attracts a diverse audience, including:
- Academics and researchers in AI and electronics engineering
- Engineers and scientists from industry and government labs
- Young researchers and graduate students
- Professionals in related fields seeking to expand their knowledge
Geographic Reach
The conference has a global reach, with participants and invited delegates from various parts of the world. While the event is held in Hangzhou, China, it offers an international platform for collaboration and knowledge exchange.
Estimated Attendance
While the exact number of attendees is not specified, the conference's academic reputation and global reach suggest a substantial gathering of professionals, researchers, and students in the field.
Key Focus Areas and Buyer Engagement
The key focus areas of AIEE 2026 include:
- Artificial Intelligence in Electronics Engineering
- Smart Technologies and Applications
- Communication Technologies
- Industrial Transformations driven by AI and Electronics
- Academic institutions seeking collaborations and partnerships
- Research organizations looking for funding or project collaborations
- Industry professionals interested in the latest AI and electronics engineering advancements
- Young researchers and students as potential talent for future collaborations or employment
Sample Buyer Companies
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Beihang University | http://www.buaa.edu.cn/ | Research Collaboration Manager | As the sponsor, they are directly involved in the conference and may seek collaborations. |
| 2 | Huawei Technologies | https://www.huawei.com/ | AI Research Director | Active in AI and electronics, likely interested in latest research and talent. |
| 3 | Intel Corporation | https://www.intel.com/ | Electronics Engineering Manager | Leader in electronics, would benefit from AI advancements in the field. |
| 4 | IBM Research | https://www.research.ibm.com/ | AI Research Scientist | Engaged in AI research, interested in interdisciplinary applications. |
| 5 | Samsung Electronics | https://www.samsung.com/global/research-and-innovation/ | Electronics R&D Director | Invests heavily in electronics and AI, seeking innovation and talent. |
| 6 | Microsoft Research | https://www.microsoft.com/en-us/research/ | AI and Electronics Integration Lead | Researches AI applications in various fields, including electronics engineering. |
| 7 | TSMC | https://www.tsmc.com/ | Semiconductor Research Director | Leading semiconductor company, interested in AI-driven electronics manufacturing. |
| 8 | Google AI | https://ai.google/ | AI Hardware Development Lead | Develops AI hardware, interested in advancements in electronics engineering. |
| 9 | NVIDIA | https://www.nvidia.com/en-us/ | AI and Electronics Partnership Manager | Specializes in AI hardware and software, seeks collaborations in electronics engineering. |
| 10 | Qualcomm | https://www.qualcomm.com/ | Wireless Technologies and AI Director | Works on wireless and AI technologies, interested in electronics engineering advancements. |
Job Profiles, Industries, and Event Type
Job Profiles: Research Scientists, AI Engineers, Electronics Engineering Managers, R&D Directors, Collaboration Managers, Academic Researchers
Industries: Information Technology, Electronics Manufacturing, Semiconductor Industry, Telecommunications, Academic Research, Artificial Intelligence
Event Type: Academic and Research Conference
Client Product Fit Note
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Industry Recommendations Based on Apollo Industry List
Based on the Apollo industry list, the following industries are recommended for targeting:
- Information Technology & Services
- Computer Hardware
- Computer Software
- Research
- Higher Education
- Artificial Intelligence
- Electrical/Electronic Manufacturing
- Telecommunications
Data sheet
2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 11–13, 2026
Location: Hangzhou International Innovation Institute of Beihang University, Hangzhou, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 7th International Conference on Artificial Intelligence in Electronics Engineering (AIEE 2026) |
| Event Date | September 11–13, 2026 |
| Event Status | Upcoming |
| Venue | Hangzhou International Innovation Institute of Beihang University |
| City | Hangzhou |
| State / Region | Zhejiang |
| Country | China |
| Organizer | Hangzhou International Innovation Institute of Beihang University, China (officially listed as sponsor/host on the event website) |
| Official Event Website | www.aiee.net |
| Event Type | International academic and technical conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Electric & Electronics; Education & Training |
| Audience Reach | International / global academic and technical audience |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; high for dates, city, country, sponsor, and conference theme based on official website content. Venue name was supplied in the event details provided by the user and is consistent with the official sponsor/host. |
| Main Purpose of Event | Research exchange, paper presentation, international academic networking, cross-disciplinary collaboration, and discussion of artificial intelligence applications in electronics engineering. |
About the Event
AIEE 2026 is an international conference focused on the intersection of artificial intelligence and electronics engineering. According to the official event website, the conference is positioned as a forum for scientists, engineers, and researchers to exchange ideas, results, experience, and work-in-progress. The program is designed to support both established experts and younger researchers through paper presentations, peer feedback, and international academic dialogue.
From a commercial intelligence perspective, AIEE is more research-driven than trade-show-driven. It matters for organizations selling advanced R&D tools, semiconductor design software, AI engineering platforms, embedded systems solutions, sensing technologies, testing equipment, academic partnerships, and innovation services. While it is not a classic procurement expo, it can still be relevant for lead generation into universities, research institutes, electronics labs, engineering faculties, and industrial innovation teams tracking AI-enabled electronics applications.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Engineering schools, AI labs, electronics departments, research universities | Influence research tools, lab systems, software platforms, and collaborative procurement | High relevance for publishers, software vendors, lab equipment suppliers, and research service providers |
| Graduate students and early-career researchers | PhD programs, research groups, postdoctoral teams | End users and technical evaluators; low direct budget authority but strong product adoption influence | Useful for pipeline building, product trials, and academic advocacy |
| Electronics engineering R&D teams | Electronics manufacturers, embedded systems firms, semiconductor design teams, communication technology companies | Evaluate AI-enabled design, testing, modeling, and optimization solutions | Relevant for EDA, simulation, test, AI model deployment, and prototyping suppliers |
| Innovation institute leaders | Applied research centers, university-affiliated innovation institutes, technology transfer organizations | Can sponsor projects, approve collaborations, and influence institutional purchasing | High-value targets for partnerships, sponsored research, and pilot deployments |
| Conference speakers and committee members | Senior academics, laboratory heads, technical experts | Thought leaders and influencer profiles with strong downstream buying influence | Useful for high-trust introductions and strategic brand positioning |
| Academic publishers and conference proceedings stakeholders | Conference publication partners, indexing and library networks | Support dissemination, visibility, and scholarly distribution | Relevant for publication services, research analytics, and academic communication vendors |
| Corporate research collaboration teams | Industrial R&D centers, joint university-industry programs, strategic technology offices | Partnership and funding influence rather than broad-volume procurement | Good fit for innovation scouting, co-development, and talent pipeline outreach |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Hangzhou | Host-city academics, innovation institutes, university labs, local engineering stakeholders | High local concentration for institutional and research contacts | Strong relevance for research partnerships and local academic ecosystem outreach |
| Zhejiang Province | Regional universities, applied technology institutes, electronics and communications R&D teams | Moderate to high | Likely feeder region due to geographic proximity and lower travel burden |
| Yangtze River Delta | Shanghai, Suzhou, Nanjing, Ningbo, and nearby advanced manufacturing and research corridors | High for industrial research and electronics-related audiences | Important regional cluster for electronics, embedded systems, AI, and engineering collaboration |
| China national audience | Researchers, students, and engineering professionals from major universities and research centers across China | High for paper submissions and academic networking | Official website positions the conference as international, but no public attendee geography breakdown is posted |
| International | Scientists, engineers, and researchers from multiple countries | Moderate, especially for academic collaboration and publication visibility | Confirmed as an international conference by official positioning; exact country list not publicly confirmed |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly presented as an international conference for scientists, engineers, and researchers, with proceedings continuity and international submission activity. |
| National | Secondary practical reach | Because the event is physically hosted in Hangzhou, China, a substantial share of attendance is likely to come from the domestic academic and engineering ecosystem. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Hangzhou International Innovation Institute of Beihang University | Host / research institute | Official sponsor/host of AIEE 2026; highly relevant for research partnerships, labs, AI engineering infrastructure, and innovation services | h3i.buaa.edu.cn | Institute Director, Research Center Director, Lab Director, Professor, Program Manager | Confirmed Current-Year Participant |
| Beihang University | University / academic parent institution | Parent university of the official sponsor/host; relevant for engineering, AI, and electronics research collaboration | buaa.edu.cn | Dean, Professor, Research Director, Procurement Officer, Laboratory Manager | Confirmed Current-Year Participant |
| International Science and Technology Innovation Center for Simulation | Co-organizing / undertaking research organization | Referenced in the Chinese official site content as the undertaking organization; potentially relevant for simulation, AI, and engineering collaboration | Public website not clearly verified from the reviewed source material | Center Director, Technical Director, Program Manager, Research Lead | Confirmed Current-Year Participant |
| ACM Digital Library | Proceedings / publication ecosystem stakeholder | Official site states AIEE 2021–2025 proceedings are available in ACM Library; relevant to the academic publication ecosystem around the conference | dl.acm.org | Publishing Manager, Conference Publications Manager, Partnerships Manager | Historical / prior-year evidence |
| Current-year attendee, buyer, exhibitor, and speaker organization lists were not publicly available in the source material reviewed. Because this is an academic conference rather than a trade exhibition, public buyer-side company confirmation is limited. Prior-year participation evidence. Not a confirmed attendee list for the current edition. | |||||
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Engineering | Senior | Often drives lab direction, grant use, tool selection, and collaboration decisions. |
| 2 | Research Director | R&D | Director | Controls institutional research priorities and partnership approvals. |
| 3 | Lab Director / Laboratory Manager | Laboratory Operations | Director / Manager | Important for equipment, testing platforms, and operational adoption. |
| 4 | Dean / Department Head | Academic Administration | Executive / Head | Can influence institutional partnerships, budget priorities, and faculty initiatives. |
| 5 | Embedded AI Engineer | Engineering | Individual Contributor / Lead | Technical evaluator for applied AI in electronics systems. |
| 6 | R&D Manager | Research & Development | Manager | Connects research exploration with practical implementation and vendor evaluation. |
| 7 | Innovation Program Manager | Innovation / Strategy | Manager | Relevant for pilot projects, funded initiatives, and external partnerships. |
| 8 | Procurement Officer | Procurement / Administration | Manager / Officer | Handles acquisition workflow for approved academic or institutional purchases. |
| 9 | CTO / Chief Scientist | Executive / Technology | Executive | Relevant where corporate R&D groups attend for frontier technology scouting. |
| 10 | Partnerships Director | Business Development / External Relations | Director | Key for university-industry cooperation and sponsored research opportunities. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Direct fit for research institutions and technical research centers | Academic collaboration, R&D platforms, funded pilot projects |
| 2 | Higher Education | Core audience includes universities and engineering faculties | Lab equipment, software, training, partnerships |
| 3 | Electrical/Electronic Manufacturing | Aligned with electronics engineering application areas | AI-enabled testing, design, optimization, electronics R&D |
| 4 | Semiconductors | Relevant to advanced electronics and intelligent hardware research | Chip design, verification, simulation, AI acceleration |
| 5 | Computer Software | Fits AI algorithms, modeling tools, simulation, and analytics providers | Research software adoption and technical evaluation |
| 6 | Information Technology & Services | Broader fit for AI implementation and engineering services | Systems integration, AI deployment, consulting |
| 7 | Computer Hardware | Relevant for embedded devices, edge hardware, and intelligent systems | Prototype hardware, edge AI platforms, testing systems |
| 8 | Telecommunications | Official event description references communication technologies | Network intelligence, signal processing, smart communications R&D |
| 9 | Industrial Automation | Relevant where AI and electronics intersect in smart industrial systems | Control systems, smart sensing, intelligent automation |
| 10 | Aviation & Aerospace | Relevant due to Beihang ecosystem and advanced engineering context | Mission-critical electronics, simulation, embedded AI |
| 11 | Mechanical or Industrial Engineering | Supports cross-disciplinary engineering participation | Design optimization, controls, mechatronics integration |
| 12 | Education Management | Useful for administrative and academic program stakeholders | Institutional partnerships, academic tools, research enablement |
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 review | No attendee headcount was posted in the reviewed source material. |
| Exhibitor count | Not applicable / not publicly listed | Confirmed by event format | Official website review | AIEE is presented as a conference, not a conventional expo with exhibitor hall statistics. |
| Buyer count | Not publicly confirmed | Not publicly confirmed | Official website review | Conference emphasizes researchers and engineers rather than formal hosted buyers. |
| Speaker count | Not publicly confirmed in the reviewed source text | Partially visible pages only | Official website menu shows Keynote Speaker and Invited Speaker sections | The copied source material did not include actual speaker names or totals. |
| Sponsor count | 1 confirmed primary sponsor/host | Confirmed | Official website homepage text | Hangzhou International Innovation Institute of Beihang University is explicitly named. |
| Historical attendance | Not publicly confirmed in the reviewed source material | Historical / prior-year evidence unavailable for headcount | Official History page references prior editions only by year/location format | No verified attendee numbers were visible in the provided source text. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial intelligence research | Model development, experimentation, validation, compute access | Research partnerships, software demos, technical workshops | AI platforms, model tooling, training environments, analytics |
| Electronics engineering | Design, simulation, testing, system integration | Application-focused case studies and technical validation discussions | EDA tools, instrumentation, test systems, prototyping tools |
| Smart terminals and embedded intelligence | Edge deployment, low-power computing, embedded inference | Pilot programs with labs and device engineering teams | Embedded AI hardware, firmware, developer kits |
| Communication technologies | Signal processing, network intelligence, optimization | Technical collaboration with telecom and electronics researchers | Communications software, RF analytics, simulation and testing tools |
| Young researcher development | Presentation platforms, publication support, skill growth | Early-adopter programs, community building, trial-based outreach | Academic licenses, training modules, publication services |
| International research collaboration | Cross-border co-authorship, data exchange, joint projects | Partnership outreach to labs, centers, and program leaders | Collaboration platforms, research networks, grant support services |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for research, lab, and technical solution sellers; weaker for broad commercial product categories. |
| Decision-maker availability | Medium | Senior academics and research leaders are likely present, but classical procurement executives are not the core audience. |
| Data collection potential | Low to Medium | Public attendee confirmation is limited; list-building value depends on access to submissions, committees, or speaker rosters. |
| Apollo targeting potential | High | Good fit for targeting research institutions, engineering faculties, electronics R&D groups, and AI technical leaders by title and industry. |
| Geographic targeting potential | High | Hangzhou, Zhejiang, and the broader China / Asia research ecosystem can be targeted effectively. |
| Best outreach approach | High-touch technical outreach | Use research-oriented messaging, case studies, trial access, publication support, and collaboration framing. |
| Overall lead quality | Medium | High-value niche audience, but not ideal for mass buyer-list extraction unless the offer is research or deep-tech focused. |
| Best use case | Academic and technical account targeting | Best for lab tools, AI platforms, simulation software, electronics R&D solutions, and university-industry partnerships. |
| Limitations / risks | Medium | Limited published attendee data, unclear buyer counts, and lower classic procurement density than trade exhibitions. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Electrical/Electronic Manufacturing; Semiconductors; Computer Software; Information Technology & Services; Computer Hardware; Telecommunications; Industrial Automation; Aviation & Aerospace | Capture the highest-likelihood institutional and technical buyer groups around AI in electronics engineering. |
| Departments | Engineering; Research; Information Technology; Operations; Education; Business Development | Focus on technical evaluators, research leaders, and partnership owners. |
| Seniority | Director; VP; CXO; Head; Manager; Owner; Professor-equivalent where available | Prioritize budget holders and strategic influencers. |
| Job titles | Research Director, Lab Director, Professor, Principal Investigator, Dean, Department Head, CTO, Chief Scientist, R&D Manager, Embedded AI Engineer, Electronics Engineer, Partnerships Director, Program Manager | Aligns with the event’s academic and technical participant base. |
| Geography | China first; Zhejiang; Hangzhou; Shanghai; Jiangsu; broader Asia-Pacific; international university clusters | Supports host-market focus plus adjacent engineering and research corridors. |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Covers research institutes, universities, and larger industrial R&D entities. |
| Keywords | artificial intelligence, electronics engineering, embedded AI, intelligent systems, signal processing, communication systems, simulation, edge computing, semiconductor research, smart terminals | Improves precision for niche technical accounts. |
| Technologies | AI/ML platforms, simulation software, EDA stack, embedded systems tooling, cloud compute for research | Useful when targeting organizations with measurable deep-tech maturity. |
| Revenue range | Use selectively; less reliable for universities and public research institutions | Better for corporate R&D accounts than academic organizations. |
| Company type | Private, Public, Educational Institution, Research Institute, Government-affiliated innovation platform | Expands coverage beyond commercial companies into the conference’s core attendee base. |
Suggested Apollo Search Logic: ("artificial intelligence" OR "AI" OR "machine learning" OR "embedded AI" OR "electronics engineering" OR "signal processing" OR "smart terminal" OR "semiconductor" OR "simulation") AND (Professor OR "Research Director" OR "Lab Director" OR "Principal Investigator" OR CTO OR "R&D Manager" OR "Department Head" OR "Partnerships Director").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| AIEE 2026 Official Website | Official event website | Event name, official dates, city, country, sponsor/host, conference purpose, submission timeline, and international positioning | High |
| ACM Digital Library – AIEE Proceedings | Official publication record | Historical proceedings continuity referenced by the official event website | High for proceedings history; not a current-year attendee list |
| User-supplied event details | Provided event input | Venue name: Hangzhou International Innovation Institute of Beihang University | Medium; consistent with official sponsor/host naming, but the copied website text reviewed did not explicitly restate the venue building name |
B2B attendee list building suitability: Moderate for targeted academic and technical account intelligence; limited for mass buyer-list sales due to the absence of a public current-year attendee directory and the conference’s research-focused format.
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