
2026 The 5th International Conference on Intelligent Science and Technology (ICIST 2026)
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About this event
2026 The 5th International Conference on Intelligent Science and Technology (ICIST 2026)
Event Overview
Following the success of its previous editions, the 5th International Conference on Intelligent Science and Technology (ICIST 2026) will convene from July 17β19, 2026 in Nanjing, China. Co-sponsored by IEEE and Hohai University, China, this international platform is hosted by the College of Computer Science and Software Engineering, Hohai University. ICIST 2026 aims to foster innovation, facilitate collaboration, and showcase cutting-edge advancements in intelligent science and technology.
The conference will feature keynote speeches, invited talks, and technical sessions covering theoretical foundations, practical analyses, system designs, testing methodologies, and real-world applications in the field. Participants will have opportunities to exchange ideas, build global networks, and experience cultural exchange in the historic city of Nanjing.
Key Information
Venue & Location
Dates: July 17β19, 2026
Location: Nanjing, China
Host Institution: College of Computer Science and Software Engineering, Hohai University
Co-sponsors: IEEE, Hohai University
Academic Program Highlights
- Keynote addresses by renowned researchers and industry leaders
- Technical sessions on theory, design, and applications of intelligent systems
- Poster presentations and interactive workshops
- Networking opportunities with global academia, industry, and government representatives
Call for Papers
Researchers, engineers, and practitioners are invited to submit original, unpublished work on topics related to intelligent science and technology. All submissions will undergo a rigorous peer-review process by the program and technical committees.
Submission Guidelines:
- Minimum length: 4β6 pages
- Use IEEE Word or LaTeX templates (available on the official website)
- Submit via the conference online submission system
Important Dates
- Deadline for Submission: June 15, 2026
- Notification of Acceptance: June 30, 2026
- Registration Deadline: July 5, 2026
- Conference Dates: July 17β19, 2026
Publication & Indexing
Accepted papers presented at the conference will be published in the ICIST 2026 Conference Proceedings by IEEE. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and indexed by Ei Compendex & Scopus.
Confirmed Keynote Speaker
Prof. Liang-Jie Zhang
Fellow of IEEE, Fellow of the World Academy of Art and Science
Shenzhen University, China
Professor Zhang has confirmed participation with a keynote speech on advanced topics in intelligent systems.
Contact Us
For inquiries about registration, submissions, or sponsorship opportunities, visit the official website: https://www.icist.org/
Data sheet
| Event Name | 2026 5th International Conference on Intelligent Science and Technology (ICIST 2026) |
| Event Date | July 17β19, 2026 |
| Event Status | Upcoming |
| Venue | Hohai University |
| City | Nanjing |
| State / Region | Jiangsu |
| Country | China |
| Organizer | Hosted by the College of Computer Science and Software Engineering, Hohai University; co-sponsored by IEEE and Hohai University |
| Official Event Website | icist.org |
| Event Type | International academic conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | International / global academic and research audience |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; high for dates, city, host, and conference purpose based on official event website content. |
| Main Purpose of Event | To present research and applications in intelligent science and technology, publish peer-reviewed papers, facilitate knowledge exchange, and connect researchers, universities, and industry participants. |
ICIST 2026 is the fifth edition of an international conference focused on intelligent science and technology. According to the official event website, it will be held in Nanjing, China from July 17 to 19, 2026, and is co-sponsored by IEEE and Hohai University, with hosting support from the College of Computer Science and Software Engineering of Hohai University. The program is expected to include keynote speeches, invited speeches, and technical sessions covering theory, analysis, design, testing, and applications.
From a commercial and lead-generation perspective, this is primarily a research and academic networking event rather than a pure procurement expo. Its value lies in access to university decision-makers, researchers, lab leaders, IEEE-affiliated participants, R&D collaborators, and selected industry technologists interested in AI, intelligent systems, software engineering, and applied innovation. It is more suitable for high-value B2B outreach in research partnerships, technical solutions, lab software, engineering tools, data platforms, and academic-industry collaboration than for mass attendee list building.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Universities, engineering schools, AI research groups | Influence software, lab tools, research platforms, and collaboration decisions | High relevance for academic software, simulation tools, data platforms, and publication support services |
| PhD students and early-career researchers | Graduate schools, labs, research institutes | End users and technical evaluators | Useful for product adoption, trials, and grassroots technical advocacy |
| Lab directors and principal investigators | University labs, research centers, funded projects | Budget influence for equipment, analytics, compute, and collaborative tools | High-value targets for specialized research solutions |
| IEEE-affiliated technical community | IEEE members, reviewers, editors, technical committee participants | Thought leadership and ecosystem influence | Relevant for standards-aligned technologies and research visibility |
| Computer science and software engineering departments | Universities and engineering colleges | Departmental influence on educational tools, cloud credits, training, and partnerships | Relevant for edtech, developer platforms, and academic licensing |
| Industry R&D and applied AI specialists | Technology firms, software vendors, industrial research teams | Evaluate technical partnerships, pilots, and research transfer opportunities | Good fit for enterprise AI, engineering software, and innovation services |
| Conference speakers and invited experts | Senior academics, recognized scientists, industry leaders | Thought leadership influence rather than direct procurement | High branding and credibility value |
| Academic publishers and indexing stakeholders | Conference proceedings managers, publishing and indexing ecosystems | Publication and visibility influence | Relevant for publication workflow tools and conference services |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Nanjing | Host-city faculty, students, local research institutions, nearby technology organizations | Moderate | Strong local academic base due to host institution |
| Jiangsu Province | Regional universities, engineering schools, and research-active institutions | Moderate to High | Likely regional draw because of host university network |
| Yangtze River Delta | Researchers and technologists from Shanghai, Suzhou, Hangzhou, and nearby innovation hubs | High | Important corridor for AI, software engineering, and applied research collaboration |
| National China audience | Chinese universities, research centers, and industry speakers/authors | High | Official event positioning supports national academic participation |
| International | Authors, delegates, and researchers from global institutions | Selective but meaningful | International conference positioning indicates cross-border participation, but current-year country mix is not publicly confirmed |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly positioned as an international conference and is co-sponsored by IEEE, which supports cross-border academic visibility and international author participation. |
| National | Secondary practical reach | A substantial portion of attendees is likely to come from Chinese universities and research institutions, especially because of the host location and local organizer base. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Hohai University | Host university / academic buyer | Co-sponsor and host-side institution with likely departmental, lab, and faculty participation | hhu.edu.cn | Dean, Professor, Lab Director, IT Director, Research Program Manager | Confirmed Current-Year Participant |
| College of Computer Science and Software Engineering, Hohai University | Host academic department | Official hosting unit for the conference and a high-fit target for research, software, and lab solutions | hhu.edu.cn | Department Chair, Professor, Research Lab Director, Program Coordinator | Confirmed Current-Year Participant |
| IEEE | Co-sponsor / professional association | Confirmed co-sponsor with technical and publishing relevance for conference ecosystem partnerships | ieee.org | Conference Program Lead, Publications Manager, Technical Committee Member, Partnership Manager | Confirmed Current-Year Participant |
| Shenzhen University | Speaker organization / university buyer | Official website news confirms Prof. Liang-Jie Zhang of Shenzhen University will deliver a keynote speech | szu.edu.cn | Professor, Dean, Research Director, AI Lab Head | Confirmed Speaker Organization |
| Official current-year attendee, exhibitor, sponsor, and full speaker organization lists were not publicly available in the source material reviewed. This limits the number of confirmed buyer organizations that can be listed without speculation. | |||||
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Academic | Senior | Drives research direction, evaluates technical tools, and influences grant-related purchasing |
| 2 | Dean / Department Chair | Academic Administration | Director / VP | Approves departmental priorities, partnerships, and institutional solutions |
| 3 | Research Director | R&D | Director | Relevant for research infrastructure, platforms, and institutional collaboration |
| 4 | Lab Director | Laboratory / Engineering | Director | Key buyer influence for lab software, compute, instrumentation, and analytics |
| 5 | Program Manager | Research Programs / Operations | Manager | Coordinates funded projects and operational execution |
| 6 | IT Director | Information Technology | Director | Relevant for infrastructure, cybersecurity, cloud, and research data systems |
| 7 | CTO / Chief Scientist | Technology / Innovation | C-Level | Relevant among industry-linked attendees and innovation partners |
| 8 | Partnerships Director | Business Development / External Relations | Director | Useful for academic-industry collaboration and sponsor outreach |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Core event audience is university-based | Academic software, research platforms, lab tools |
| 2 | Research | Conference content is research-led and publication-oriented | Data analysis, simulation, compute, collaboration tools |
| 3 | Information Technology & Services | Relevant to intelligent systems and digital infrastructure | Enterprise AI, cloud, integration, services |
| 4 | Computer Software | Strong fit for AI, analytics, modeling, and application development themes | Developer tools, AI platforms, research applications |
| 5 | Computer Hardware | Relevant where compute performance and intelligent systems infrastructure matter | Servers, GPU systems, edge devices |
| 6 | Industrial Automation | Intelligent science often connects to applied automation and control systems | Applied AI in manufacturing and engineering environments |
| 7 | Electrical/Electronic Manufacturing | Relevant to intelligent devices and embedded systems | Sensors, embedded intelligence, applied R&D tools |
| 8 | Semiconductors | May align with intelligent computing and system performance research | AI acceleration, chip-enabled research collaborations |
| 9 | Telecommunications | Useful where intelligent systems overlap with networks and communications | Network AI, optimization, edge intelligence |
| 10 | Education Management | Relevant for institutions evaluating conference-linked education and research solutions | Academic operations, learning analytics, institutional platforms |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official event website text reviewed | No public attendance statistic found in the provided official content |
| Exhibitor count | Not applicable / not publicly listed | Not Confirmed | Official event website text reviewed | This appears to be a conference format rather than a trade exhibition |
| Buyer count | Not publicly confirmed | Not Confirmed | Official event website text reviewed | No formal buyer program indicated |
| Speaker count | At least 1 keynote speaker publicly referenced | Partially Confirmed | Official event news update | Prof. Liang-Jie Zhang of Shenzhen University confirmed for one keynote speech |
| Sponsor count | 2 named co-sponsors | Confirmed | Official event website text reviewed | IEEE and Hohai University are named as co-sponsors |
| Historical attendance | Not publicly confirmed in reviewed source material | Historical data unavailable | Archive links present, but no attendance numbers available in supplied content | No prior-year volume benchmark should be assumed |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial intelligence and intelligent systems | Research tools, model development environments, compute resources | Direct outreach to professors, labs, and technical speakers | AI platforms, ML tooling, GPU/cloud resources |
| Software engineering | Development platforms, testing frameworks, collaboration software | Target academic departments and applied industry R&D teams | Dev tools, QA/testing, repositories, API management |
| Theory, analysis, design and test | Simulation, modeling, validation, and benchmarking solutions | Technical demonstrations and academic licensing offers | Simulation software, analytics tools, test environments |
| Publication and research dissemination | Conference management, submission workflow, publication support | Engage organizers and editorial stakeholders | Conference platforms, editorial tools, research visibility services |
| Academic-industry collaboration | Partner discovery, joint research, innovation transfer | BD-led outreach before and after the conference | Partnership programs, grants support, enterprise research services |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | High for research tools, academic software, AI platforms, and technical partnerships; lower for general commercial products. |
| Decision-maker availability | Medium to High | Faculty leaders, department heads, and lab directors are likely present, though procurement officers are not the primary audience. |
| Data collection potential | Low to Medium | Public attendee transparency is limited; official lists were not publicly available in reviewed material. |
| Apollo targeting potential | High | Academic and research buyer personas are searchable by industry, title, and institution type in Apollo-style workflows. |
| Geographic targeting potential | High | Nanjing, Jiangsu, and wider China/Asia academic clusters offer clear geographic segmentation. |
| Best outreach approach | High-value targeted outreach | Use personalized outreach centered on research impact, collaboration, publication efficiency, or technical performance. |
| Overall lead quality | Medium | Good niche value, but not a broad buyer-volume event. |
| Best use case | Targeted ABM and partnership outreach | Best suited for high-fit educational, research, and advanced technology offerings. |
| Limitations / risks | Medium | Limited public attendee detail, unclear volume metrics, and no formal buyer program disclosed. This event is not ideal for bulk B2B attendee list building. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Information Technology & Services; Computer Software; Computer Hardware; Industrial Automation; Electrical/Electronic Manufacturing; Education Management | Map outreach to institutions and technical organizations most aligned with the conference theme |
| Departments | Research; Engineering; Information Technology; Education; Operations; Business Development | Find functional owners and influencers |
| Seniority | C-Level; VP; Director; Head; Professor; Manager | Prioritize budget owners and research leaders |
| Job titles | Professor, Principal Investigator, Dean, Department Chair, Research Director, Lab Director, IT Director, CTO, Chief Scientist, Program Manager, Partnerships Director | Focus on technical and institutional decision-makers |
| Geography | China; Jiangsu; Nanjing; Shanghai; Zhejiang; broader Asia-Pacific where relevant | Capture host-region and broader likely participation zones |
| Employee size | 201β500; 501β1,000; 1,001β5,000; 5,001β10,000; 10,001+ | Target larger universities, institutes, and established technology organizations |
| Keywords | intelligent science, intelligent systems, artificial intelligence, software engineering, machine learning, data analysis, conference proceedings, IEEE, research lab, computer science | Refine toward theme-aligned institutions and contacts |
| Technologies | Use where relevant: cloud infrastructure, AI/ML stack, developer tools, analytics platforms | Useful for software and infrastructure vendors |
| Revenue range | Use selectively; many academic institutions may not fit standard revenue logic | Avoid over-filtering universities and public institutions |
| Company type | Educational institutions, research institutes, public universities, enterprise R&D organizations | Keep list aligned to likely conference participation profile |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICIST Official Website | Official event website | Confirmed event title, dates, city, country, co-sponsors, host unit, conference purpose, proceedings details, and important deadlines | High |
| ICIST Official Website News Update | Official news item on event site | Confirmed keynote speaker organization: Shenzhen University via Prof. Liang-Jie Zhang announcement | High |
| User-supplied event details | Provided input | Venue reference as Hohai University | Medium |
| Verification note | Research limitation | No public current-year attendee list, full speaker list, exhibitor list, or attendance volume was available in the reviewed source material. Event suitability for B2B attendee list building is therefore limited and should be treated as niche, targeted prospecting rather than bulk list acquisition. | 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 Intelligent Science and Technology (ICIST 2026) β the bestβfit companies to target, the exact decisionβmaker job titles, and the industry filters that fit what you sell.