2026 The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026)
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About this event
2026 The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026)
The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026) will be held in Nanjing, China from December 18-20, 2026. Hosted by the School of Artificial Intelligence at Nanjing University of Information Science and Technology (NUIST), and sponsored by IEEE and Nanjing University of Information Science and Technology, China, this conference promises to be a premier platform for discussing the latest advancements in cognitive and intelligent technology.
Conference Overview
ICCIT 2026 focuses on cognitive technology, which encompasses AI-driven systems designed to replicate human cognitive functions such as learning, reasoning, problem-solving, and natural language understanding. By combining insights from computer science, neuroscience, and psychology, these systems emphasize augmented intelligence, enhancing human decision-making rather than replacing it.
The conference will bring together thought leaders, industry experts, and researchers to explore pivotal topics including the development of systems that emulate human-like adaptability, insight, and interaction. It aims to drive forward intelligent innovation that empowers human thinking, while addressing both the advantages and challenges posed by rapid technological advancements.
Key Features
- Tracks: The conference features seven tracks covering a wide range of topics:
- Track 1: Artificial Intelligence and Intelligent Computing
- Track 2: Human-Centered AI and Responsible Intelligence
- Track 3: Intelligent Communication and Network Technologies
- Track 4: Robotics, Autonomous Systems, and Intelligent Automation
- Track 5: Data Science and Intelligent Information Systems
- Track 6: Intelligent Technologies for Smart and Sustainable Applications
- Track 7: Emerging Intelligent Technologies and Future Paradigms
- Proceedings and Indexing: Accepted and presented papers will be included in the ICCIT 2026 Conference Proceedings, published by IEEE and archived in IEEE Xplore, indexed by Ei Compendex and Scopus.
- Networking Opportunities: The conference offers ample networking opportunities, fostering collaborations that could lead to groundbreaking projects.
Submission and Registration
Submission Dates:
- Full Paper and Abstract Submission Deadline: July 25, 2026
- Notification of Acceptance/Rejection: August 25, 2026
- Registration Deadline: September 20, 2026
About Nanjing
Nanjing, historically known as Nanking, is the capital of Jiangsu province in China. It is a major industrial city in the lower Yangtze River region and the Yangtze River Delta, serving as the central city of the region.
Data sheet
2026 The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026) – Event Attendee & Buyer Profile Analysis
Event date: December 18–20, 2026
Location: Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Event status: Upcoming
Research date: June 30, 2026
Event Overview
| Event Name | 2026 The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026) |
| Event Date | December 18–20, 2026 |
| Event Status | Upcoming |
| Venue | Nanjing University of Information Science and Technology |
| City | Nanjing |
| State / Region | Jiangsu |
| Country | China |
| Organizer | Hosted by School of Artificial Intelligence, Nanjing University of Information Science and Technology; sponsored by Nanjing University of Information Science and Technology and IEEE |
| Official Event Website | iccit.org |
| Event Type | International academic conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | International academic and research reach with strong China-centered university and engineering network |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; high for event dates, location, hosts, sponsors, and technical tracks based on official website content |
| Main Purpose of Event | Research exchange, paper presentation, academic networking, AI and cognitive technology collaboration, and visibility for intelligent systems innovation |
About the Event
ICCIT 2026 is the fifth edition of an international conference focused on cognitive and intelligent technology, including AI-driven systems that replicate or augment human cognitive functions such as learning, reasoning, problem-solving, and natural language understanding. The official event website positions the conference as a forum for discussing current trends, innovations, and future paradigms in artificial intelligence, intelligent computing, communication networks, robotics, data science, and smart sustainable applications.
From a commercial and lead-generation standpoint, ICCIT 2026 is best understood as a high-value thought-leadership and research-networking event rather than a broad expo with mass procurement volume. The strongest participant groups are likely to include university researchers, AI lab leaders, engineering faculty, doctoral scholars, technical program chairs, IEEE-linked contributors, and selected industry experts. For suppliers, the event is most relevant for research tools, computing infrastructure, academic partnerships, engineering software, AI platforms, technical publishing, innovation programs, and advanced lab or collaboration solutions.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University AI faculty and lab leaders | Engineering schools, AI institutes, computer science departments | Influence software, compute, lab platform, research partnership, and pilot decisions | High for AI tools, research infrastructure, cloud credits, simulation, datasets, and collaboration platforms |
| Researchers and paper authors | Universities, research groups, technical institutes | End-user influence on tools, benchmark platforms, publication workflows, and experimentation stacks | Strong for product trials, academic advocacy, and early adoption |
| Technical program chairs and committee members | Universities with active AI, robotics, networking, and data science programs | High influence over partnerships, conference collaborations, and research ecosystems | Useful for strategic alliance building and institutional introductions |
| Industry experts and invited speakers | Applied AI, intelligent systems, and innovation-led organizations | Can influence evaluation of commercial tools and partnership decisions | High for targeted enterprise outreach if speaker organizations are commercially active |
| University procurement and research administration teams | University purchasing offices, sponsored research offices, lab administration | Budget approval, contracting, vendor onboarding, procurement compliance | Relevant for research equipment, software licensing, services, and grant-funded acquisitions |
| Graduate students and doctoral candidates | Academic labs and doctoral programs | Low direct budget authority but strong product-user influence | Useful for grassroots adoption and future pipeline building |
| IEEE-affiliated technical community participants | IEEE-linked researchers, chapter members, and conference contributors | Influence on publication, standards awareness, and technical reputation | Best for thought leadership and ecosystem credibility rather than direct procurement |
| Research partnership and innovation offices | Universities, joint research centers, technology transfer offices | Influence collaboration agreements, pilot projects, and industry-university connections | High for enterprise-academic partnership outreach |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Nanjing | Host-city participants from NUIST and nearby academic institutions | High local concentration for faculty, research labs, and university administrators | Confirmed host city from official website |
| Jiangsu Province | Regional universities, engineering schools, and smart manufacturing research groups | Strong regional research buyer influence | Likely due to host location and provincial academic density |
| Yangtze River Delta | Attendees from Shanghai, Suzhou, Hangzhou, and surrounding innovation corridors | Meaningful for AI, computing, automation, and applied research partnerships | Likely attendee profile based on location economics and transport accessibility |
| National China reach | Faculty and committee participants from multiple Chinese universities named on the official website | High for academic decision-makers and technical influencers | Supported by official sponsors, patrons, and track chair affiliations across China |
| International reach | International authors and researchers are likely, but current-year country mix is not publicly listed | Moderate | Conference is explicitly branded international; exact attendee-country distribution not confirmed |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The conference is officially presented as an international conference, publishes proceedings via IEEE, and is positioned for global academic participation. |
| National | Strong secondary reach | Current visible committee and patron ecosystem is heavily anchored in Chinese universities and national research institutions. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Nanjing University of Information Science and Technology | Host university / research buyer | Sponsor, host institution, and venue-linked organization; highly relevant for AI, compute, research software, and partnership outreach | nuist.edu.cn | Dean, Director of AI Institute, Professor, Lab Director, Procurement Manager, Research Administrator | Confirmed Sponsor / Exhibitor |
| IEEE | Technical sponsor / ecosystem organization | Official sponsor and proceedings publisher; useful for standards, publishing, and technical community access | ieee.org | Conference Program Lead, Technical Activities Manager, Partnerships Manager | Confirmed Sponsor / Exhibitor |
| Nanjing University | Patron university / research buyer | Official patron; relevant for AI, data science, and university-industry collaboration | nju.edu.cn | Professor, Institute Director, Dean, Procurement Officer, IT Director | Confirmed Sponsor / Exhibitor |
| Southeast University | Patron university / research buyer | Official patron with strong engineering and intelligent systems relevance | seu.edu.cn | Dean, Head of Computer Science, AI Lab Director, Research Procurement Lead | Confirmed Sponsor / Exhibitor |
| University of Electronic Science and Technology of China | Patron university / research buyer | Official patron; strong fit for AI, electronics, and intelligent computing suppliers | uestc.edu.cn | Research Director, Professor, CIO, IT Procurement Manager | Confirmed Sponsor / Exhibitor |
| Donghua University | Patron university / research buyer | Official patron and likely source of academic participants | dhu.edu.cn | School Dean, Department Chair, Research Administrator | Confirmed Sponsor / Exhibitor |
| Nanjing University of Posts and Telecommunications | Patron university / research buyer | Official patron; relevant for intelligent communication and network technologies | njupt.edu.cn | Network Research Director, Dean, Procurement Officer, IT Director | Confirmed Sponsor / Exhibitor |
| Beijing Technology and Business University | Academic participant organization | Track chair organization for Artificial Intelligence and Intelligent Computing | btbu.edu.cn | Professor, Department Chair, AI Lab Director | Confirmed Speaker Organization |
| Northwestern Polytechnical University | Academic participant organization | Track co-chair organization in AI and data science-related sessions | nwpu.edu.cn | Professor, Research Center Director, Technical Program Lead | Confirmed Speaker Organization |
| Sun Yat-sen University | Academic participant organization | Track chair organization for Human-Centered AI and Responsible Intelligence | sysu.edu.cn | Professor, Ethics in AI Lead, Institute Director | Confirmed Speaker Organization |
| National University of Defense Technology | Academic / defense-linked research organization | Track chair and co-chair organization for intelligent communication and network technologies | nudt.edu.cn | Professor, Network Research Director, Program Lead | Confirmed Speaker Organization |
| Nantong University | Academic participant organization | Track chair organization for robotics, autonomous systems, and intelligent automation | ntu.edu.cn | Robotics Lab Director, Professor, Automation Department Head | Confirmed Speaker Organization |
| Chang’an University | Academic participant organization | Track chair organization for data science and intelligent information systems | chd.edu.cn | Data Science Director, Professor, Research Procurement Lead | Confirmed Speaker Organization |
| Nanjing University of Aeronautics and Astronautics | Academic participant organization | Track chair organization for smart and sustainable intelligent applications | nuaa.edu.cn | Professor, Sustainability Research Lead, Engineering Dean | Confirmed Speaker Organization |
| City University of Macau | Academic participant organization | Track co-chair organization; indicates broader regional academic reach | cityu.edu.mo | Professor, Research Director, Innovation Partnerships Lead | Confirmed Speaker Organization |
| Ningxia University | Academic participant organization | Track chair and co-chair organization for emerging intelligent technologies and future paradigms | nxu.edu.cn | Professor, Emerging Tech Research Lead, Dean | Confirmed Speaker Organization |
| Jiangsu University of Technology | Academic participant organization | Track co-chair organization; relevant for engineering education and applied intelligent technology | jsut.edu.cn | Department Head, Professor, Research Operations Manager | Confirmed Speaker Organization |
Note: This event is research-led. The organizations above are best treated as confirmed event-connected institutions or technical contributor organizations, not as a mass-commercial buyer list.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Dean / Vice Dean, School of Artificial Intelligence | Academic Leadership | VP / Director | Institutional authority over partnerships, lab priorities, and strategic technology adoption |
| 2 | Research Director / Institute Director | Research | Director | Key contact for funded research, technology evaluation, and collaboration programs |
| 3 | Professor / Principal Investigator | Research / Faculty | Senior | Strong technical influencer and often the practical driver of software, compute, and lab adoption |
| 4 | Head of Department / Department Chair | Academic Operations | Director / Head | Influences budget allocation and department-wide technology priorities |
| 5 | Lab Director | Research Lab | Director | Direct buyer or influencer for hardware, software, simulation, sensors, and data infrastructure |
| 6 | IT Director / CIO | Information Technology | Director / C-Level | Relevant for infrastructure, cloud, network, security, and systems integration |
| 7 | Procurement Manager / Purchasing Officer | Procurement | Manager | Critical for university vendor onboarding and contract completion |
| 8 | Research Administrator / Sponsored Programs Manager | Research Administration | Manager / Director | Useful where grant-funded projects drive technology purchasing |
| 9 | Partnerships Director / Industry Collaboration Lead | Partnerships / External Relations | Director | Ideal for joint research, pilot programs, labs, sponsorships, and institutional alliances |
| 10 | Program Manager / Conference Chair / Technical Committee Lead | Program / Research | Manager / Senior | Strong influence on visibility, speaking opportunities, and ecosystem introductions |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Most visible event-linked institutions are universities and AI schools | Research software, cloud, lab equipment, academic partnerships |
| 2 | Research | Conference is centered on technical research outputs and innovation exchange | Applied research programs, testing platforms, data services |
| 3 | Information Technology & Services | Broad fit for AI, systems integration, and technical service providers engaging universities | Partnerships, platform deployments, support services |
| 4 | Computer Software | Direct fit for AI development tools, analytics, modeling, and collaboration software | Licensing, pilots, research adoption |
| 5 | Computer Hardware | Relevant for compute-intensive AI research and robotics applications | GPU systems, edge devices, lab hardware |
| 6 | Computer Networking | Supported by dedicated track in intelligent communication and network technologies | Campus networking, research infrastructure, communication systems |
| 7 | Industrial Automation | Relevant to robotics, autonomous systems, and intelligent automation tracks | Robotics labs, simulation, control systems, testbeds |
| 8 | Telecommunications | Relevant to communications and networking research attendees | Network intelligence, 5G/6G-adjacent collaboration, communications AI |
| 9 | Electrical/Electronic Manufacturing | Relevant where intelligent systems overlap with embedded and sensing technologies | Lab tools, electronics integration, prototyping systems |
| 10 | Defense & Space | Relevant due to participation from National University of Defense Technology and advanced systems themes | High-end research collaboration and systems experimentation |
| 11 | Aviation & Aerospace | Relevant due to aeronautics-linked university participation and autonomous systems topics | Autonomous control, modeling, intelligent sensing |
| 12 | Government Relations | Useful where public research funding, institutional relations, and technical ecosystem engagement matter | University-government program coordination and policy-aligned initiatives |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official website excerpt reviewed | No published attendee total found in provided official content |
| Exhibitor count | Not publicly confirmed | Not Confirmed | Official website excerpt reviewed | This appears to be a conference rather than a trade-show floor event |
| Buyer count | Not publicly confirmed | Not Confirmed | Official website excerpt reviewed | No procurement or hosted-buyer program disclosed in provided source |
| Speaker count | At least multiple track chairs and co-chairs confirmed across 7 tracks | Confirmed Partial | Official Call for Papers / committee content | Full speaker roster not yet fully visible in the provided excerpt |
| Sponsor count | 2 sponsors confirmed; 5 patrons confirmed | Confirmed | Official website excerpt | Sponsors: IEEE and NUIST; patrons listed on official site |
| Historical attendance | Not available in provided source | Historical / prior-year evidence unavailable | Official site excerpt only | No reliable prior-year headcount used |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence and Intelligent Computing | Model development, compute resources, toolchains, and experimentation platforms | Target faculty, labs, and AI program leads | AI software, GPU infrastructure, cloud compute, MLOps tooling |
| Human-Centered AI and Responsible Intelligence | Explainability, ethics, governance, and human-in-the-loop systems | Thought-leadership conversations with research and policy-oriented leaders | AI governance tools, compliance frameworks, evaluation platforms |
| Intelligent Communication and Network Technologies | Advanced networking, communications intelligence, simulation, and optimization | Network research department outreach | Networking platforms, monitoring tools, test environments, telecom analytics |
| Robotics, Autonomous Systems, and Intelligent Automation | Robotics research, controls, sensing, autonomy frameworks, simulation | Connect with robotics labs and applied engineering teams | Simulation software, robot platforms, sensors, edge AI systems |
| Data Science and Intelligent Information Systems | Data engineering, visualization, storage, information retrieval, knowledge systems | Data lab and information systems outreach | Data platforms, analytics tools, annotation services, knowledge graph solutions |
| Smart and Sustainable Applications | Applied AI for sustainability, efficiency, and smart systems | Cross-disciplinary institution outreach | Sustainability analytics, IoT systems, optimization software |
| Emerging Intelligent Technologies and Future Paradigms | Early-stage innovation, future research directions, concept validation | Best for strategic partnership development and visibility | Pilot programs, emerging tech collaborations, sponsored research |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for academic and research buyers; weaker for mainstream commercial procurement unless the offering is research/AI specific. |
| Decision-maker availability | Medium to High | Professors, deans, track chairs, and institute leaders are likely accessible through conference participation, but formal procurement may occur later through institutional channels. |
| Data collection potential | Medium | Official attendee headcount and buyer lists are not publicly confirmed, but committee, chair, and institution data provide usable targeting anchors. |
| Apollo targeting potential | High | Apollo filters can effectively target universities, research institutions, AI departments, and technical leadership roles tied to event themes. |
| Geographic targeting potential | High | Nanjing, Jiangsu, and broader China academic networks offer a clear regional-to-national targeting path. |
| Best outreach approach | High | Use research partnership language, technical value propositions, pilot offers, and publication/innovation alignment rather than generic sales messaging. |
| Overall lead quality | Medium to High | Good event for niche AI, research infrastructure, and technical solution sellers; less suitable for broad B2B attendee-list monetization based on volume alone. |
| Best use case | High | Account-based outreach to universities, AI labs, and technical chairs; partnership development; selective sponsor prospecting. |
| Limitations / risks | Medium | No public attendee total, no official buyer program, and limited direct procurement signals in the provided source. Suitable for B2B attendee list building only when focused on academic and technical decision-makers rather than volume-based list sales. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Information Technology & Services; Computer Software; Computer Hardware; Computer Networking; Industrial Automation; Telecommunications; Electrical/Electronic Manufacturing; Defense & Space; Aviation & Aerospace | Core event-fit industry universe |
| Departments | Research; Information Technology; Engineering; Education; Operations; Procurement; Business Development; Partnerships | Capture both technical and administrative buyers |
| Seniority | C-Level; VP; Director; Head; Manager; Owner where applicable; Senior | Focus on decision-makers and technical influencers |
| Job titles | Dean, Vice Dean, Director of AI Institute, Research Director, Lab Director, Professor, Principal Investigator, Department Chair, CIO, IT Director, Procurement Manager, Research Administrator, Partnerships Director, Program Manager | High-fit contact set for this conference profile |
| Geography | China first; then Jiangsu; Nanjing; Beijing; Shanghai; Shaanxi; Guangdong; Macau where relevant | Start with confirmed institutional footprint from official event connections |
| Employee size | 501–1,000; 1,001–5,000; 5,001–10,000; 10,001+ | Most target universities and large research organizations fall into larger employee bands |
| Keywords | artificial intelligence, cognitive technology, intelligent computing, human-centered AI, responsible intelligence, intelligent networks, robotics, autonomous systems, data science, intelligent information systems, smart applications, IEEE | Improve title and account relevance |
| Technologies | Use when relevant: AI/ML, cloud, GPU computing, robotics, networking, simulation, analytics | Useful for sellers of technical infrastructure and platforms |
| Revenue range | Optional; deprioritize if targeting universities | Revenue is less useful than department/title/industry for academic outreach |
| Company type | Educational institutions, research institutions, public organizations, large engineering-led organizations | Narrow the account universe to event-like organizations |
Suggested Apollo Search Logic: ("artificial intelligence" OR "cognitive technology" OR "intelligent computing" OR robotics OR "data science" OR "intelligent information systems" OR "human-centered AI" OR "intelligent communication") AND (Dean OR Director OR Professor OR "Lab Director" OR "Research Director" OR CIO OR "IT Director" OR "Procurement Manager" OR "Partnerships Director") AND Geography: China.
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICCIT Official Website | Official event website | Event name, city, country, dates, sponsor organizations, host school, patron institutions, conference purpose, proceedings publication note, technical tracks, and key submission/notification/registration deadlines | High |
| User-supplied known event details | Provided event data | Venue name: Nanjing University of Information Science and Technology; state/region: Jiangsu | Medium to High |
| Official website content review limitation | Verification note | No public organizer-confirmed attendance total, buyer count, exhibitor count, or full attendee list was available in the provided source excerpt | High |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 The 5th International Conference on Cognitive and Intelligent Technology (ICCIT 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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