2026 10th International Conference on Computer, Software and Modeling (ICCSM 2026) – Event Attendee & Buyer Profile Analysis
Event date: July 03–05, 2026
Location: CESI Nice, Nice, France
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name |
2026 10th International Conference on Computer, Software and Modeling (ICCSM 2026) |
| Event Date |
July 03–05, 2026 |
| Event Status |
Upcoming |
| Venue |
CESI Nice |
| City |
Nice |
| State / Region |
Provence-Alpes-Côte d’Azur |
| Country |
France |
| Organizer |
ICCSM Organizing Committee |
| Official Event Website |
iccsm.org |
| Event Type |
International academic and professional conference |
| Primary Category |
IT & Technology |
| Secondary Applicable Categories |
Science & Research; Education & Training |
| Audience Reach |
Global |
| Estimated Attendance / Expected Footfall |
Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability |
Low for attendee volume; high for date, venue, location, and thematic scope based on official website. |
| Main Purpose of Event |
To provide an international forum for researchers, practitioners, and professionals from industry, academia, and government to discuss research, development, and professional practice in computer science, software engineering, artificial intelligence, and modeling technologies. |
About the Event
ICCSM 2026 is the 10th edition of an international conference focused on computer technologies, software engineering, artificial intelligence in computers and communication, and modeling technology. The official website states that the event will be held in Nice, France from July 03–05, 2026, hosted by CESI Nice, sponsored by Université de Haute-Alsace, and technically supported by the University of Bari and the University of Barcelona.
From a market-intelligence perspective, the conference is relevant for B2B outreach into research-led technology ecosystems, university-industry collaboration networks, applied R&D groups, software engineering teams, and public-sector or academic innovation stakeholders. It is more valuable for expert-network targeting, partnership development, technical solution outreach, and lead qualification among senior researchers and innovation leaders than for mass buyer-list building, because the organizer does not publicly confirm a broad attendee list or visitor count.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| Academic researchers and faculty |
Universities, engineering schools, computer science departments, research institutes |
Influence software, data, lab tools, computing platforms, and collaboration decisions |
High for research software, AI tools, modeling platforms, cloud credits, and publication-related services |
| Industry R&D and engineering teams |
Software companies, AI firms, embedded systems teams, engineering consultancies |
Evaluate technical partnerships, applied research, prototypes, and talent pipelines |
High for developer tools, simulation software, testing environments, and enterprise AI offerings |
| Government and public-sector innovation participants |
Public research bodies, digital agencies, innovation programs, government laboratories |
Can shape grants, pilot projects, collaborative research, and procurement pathways |
Relevant for GovTech, cybersecurity, AI, digital transformation, and academic partnership suppliers |
| Graduate researchers and doctoral candidates |
Universities, doctoral programs, labs, applied research centers |
Users and evaluators of technical platforms; future influencers and adopters |
Useful for user adoption, trial programs, and developer-community growth |
| Conference speakers, reviewers, and technical committee members |
Senior academics, applied scientists, technical reviewers, specialist experts |
High influence on reputation, partnerships, and solution validation |
Strong for credibility-led outreach and high-trust introductions |
| Publishing and proceedings stakeholders |
Conference publication partners, indexing-oriented participants, editorial contacts |
Influence dissemination and visibility of research outputs |
Relevant for research workflow software, submission systems, and academic services |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Nice |
Local host-city attendees, faculty, students, and regional industry professionals |
Medium |
Host venue is CESI Nice; likely concentration of local academic and technical participants. |
| Provence-Alpes-Côte d’Azur |
Regional engineering, software, and research participants from southern France |
Medium |
Likely draw from nearby universities, innovation centers, and Mediterranean tech ecosystem actors. |
| France |
National academic and professional attendees |
High |
French host location and sponsoring/hosting institutions support national reach. |
| Southern and Western Europe |
Spain, Italy, and neighboring European research and software communities |
High |
Technical support named from Italy and Spain suggests stronger European academic links. |
| Global |
International researchers, authors, and practitioners |
Medium to High |
The conference positions itself as an international forum and its publication pathway supports global academic submissions. |
3. Audience Reach
| Reach Level |
Assessment |
Explanation |
| Global |
Primary classification |
The event explicitly describes itself as an international conference, accepts global paper submissions, and has named institutional support spanning multiple countries. |
| European |
Secondary practical concentration |
Current host, sponsor, and technical support organizations indicate especially strong European participation potential. |
4. Sample Buyer Companies and Websites
Only a limited number of current-year organizations are explicitly named on the official ICCSM 2026 website. The table below therefore lists confirmed current-year institutional participants or officially named organizations relevant to attendee profiling. This is not a broad confirmed attendee list.
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| CESI Nice |
Host academic institution |
Official host of ICCSM 2026; relevant for research collaboration, education technology, and institutional software buying discussions. |
cesi.fr |
Campus Director, Research Director, Head of Computer Science, IT Director, Academic Partnerships Manager |
Confirmed Current-Year Participant |
| Université de Haute-Alsace |
Sponsor / academic institution |
Official sponsor of the event; relevant for research funding, academic tools, software platforms, and conference partnerships. |
uha.fr |
Vice President Research, Dean, Procurement Manager, IT Director, Laboratory Director |
Confirmed Sponsor / Exhibitor |
| University of Bari |
Technical support institution |
Officially named as technical support; relevant for academic collaboration and applied computing research outreach. |
uniba.it |
Professor, Department Chair, Research Program Manager, Innovation Director, IT Services Director |
Confirmed Current-Year Participant |
| University of Barcelona |
Technical support institution |
Officially named as technical support; relevant for software, AI, and modeling research engagement. |
ub.edu |
Research Group Lead, Professor, Department Head, CIO, Academic Partnerships Director |
Confirmed Current-Year Participant |
| Conference Publishing Services (CPS) |
Publication partner ecosystem organization |
Official publication destination for accepted papers; relevant to research dissemination workflow and conference publishing operations. |
computer.org/cps |
Publishing Manager, Program Manager, Conference Operations Director, Partnerships Manager |
Confirmed Current-Year Participant |
| IEEE Xplore |
Research publishing and indexing ecosystem organization |
Officially referenced as the intended indexing destination for conference proceedings; relevant to academic content distribution and publication workflow. |
ieeexplore.ieee.org |
Publishing Partnerships Manager, Product Manager, Conference Relations Manager |
Confirmed Current-Year Participant |
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 |
Research Director |
Research & Development |
Director / Head |
Influences institutional collaboration, software evaluation, funding priorities, and applied research tools. |
| 2 |
Professor / Principal Investigator |
Academic / Research |
Senior Individual Contributor / Head |
Often drives technical adoption, grant participation, and lab-level purchasing recommendations. |
| 3 |
Head of Computer Science / Department Chair |
Academic Department |
Head / Director |
Relevant for curriculum technology, research partnerships, and institutional software budgets. |
| 4 |
AI / Data Science Lead |
R&D / Engineering |
Manager / Director |
Directly aligned with conference AI and modeling tracks. |
| 5 |
Software Engineering Director |
Engineering |
Director |
Relevant for developer tooling, testing, modeling, and platform engineering solutions. |
| 6 |
IT Director / CIO |
Information Technology |
Director / C-Level |
Key for infrastructure, campus systems, cloud platforms, and cybersecurity-related decisions. |
| 7 |
Innovation Director |
Innovation / Strategy |
Director |
Useful for industry-university partnerships, pilots, and commercialization initiatives. |
| 8 |
Procurement Manager |
Procurement |
Manager |
Relevant where software licenses, research platforms, hardware, and institutional services require formal purchasing. |
| 9 |
Program Manager |
Research Programs / Operations |
Manager |
Coordinates grants, conference partnerships, and implementation projects. |
| 10 |
Academic Partnerships Manager |
Partnerships / External Relations |
Manager |
Valuable for institutional relationship-building and co-development opportunities. |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 |
Higher Education |
Core attendee base for academic conferences and hosted research participation. |
University labs, departments, and research centers |
| 2 |
Research |
Strong fit for independent and institutional research bodies. |
R&D collaboration and technical validation |
| 3 |
Information Technology & Services |
Relevant for IT practitioners and solution providers engaging with software and systems topics. |
Platform, services, and digital infrastructure outreach |
| 4 |
Computer Software |
Direct alignment with software engineering and development themes. |
Developer tools, modeling software, AI applications |
| 5 |
Computer Hardware |
Relevant for compute environments supporting AI and modeling workloads. |
Workstations, edge systems, and lab computing |
| 6 |
Computer Networking |
Relevant to communication systems and connected computing topics. |
Networked research platforms and communications infrastructure |
| 7 |
Electrical/Electronic Manufacturing |
Useful for applied engineering and computational modeling audiences. |
Simulation, embedded systems, and design optimization |
| 8 |
Industrial Automation |
Modeling and software applications often cross into automation and smart systems. |
Applied software and digital engineering solutions |
| 9 |
Government Administration |
Official event copy mentions government participants. |
Public-sector digital research and innovation programs |
| 10 |
Public Policy |
Applicable for public innovation and technology-policy stakeholders. |
Innovation funding, digital policy, and research initiatives |
| 11 |
Education Management |
Useful where administrative and institutional decision-makers participate. |
Campus software, learning systems, and innovation partnerships |
| 12 |
Professional Training & Coaching |
Relevant for technical training and upskilling solutions aligned with conference themes. |
Workshops, certification, and skill development programs |
6. Estimated Attendance
| Metric |
Figure |
Status |
Source / Basis |
Notes |
| Estimated total footfall |
Attendance figure not publicly confirmed by the organizer. |
Not Confirmed |
Official website content reviewed |
No public attendee total found in the official event text provided. |
| Exhibitor count |
Not publicly confirmed |
Not Confirmed |
Official website content reviewed |
This is a conference format; exhibitor volume is not presented in the official text. |
| Buyer count |
Not publicly confirmed |
Not Confirmed |
Official website content reviewed |
No registered buyer program or attendee directory disclosed. |
| Speaker count |
At least 1 named keynote speaker mentioned in official news |
Partially Confirmed |
Official website recent news section |
The provided text names Prof. Merouane Debbah, but does not disclose a full speaker count in the excerpt reviewed. |
| Sponsor count |
1 named sponsor |
Confirmed |
Official website general information |
Université de Haute-Alsace is explicitly named as sponsor. |
| Historical attendance |
Not publicly confirmed in the official text provided |
Historical / prior-year evidence unavailable |
Official website content reviewed |
Past event years and cities are listed, but not historical attendance totals. |
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| Artificial Intelligence in Computers and Communication |
AI research, experimentation environments, model development, and performance evaluation |
Target AI leads, faculty, and applied research groups |
AI platforms, compute infrastructure, data tooling, MLOps, model evaluation tools |
| Software Engineering and Development |
Development workflows, testing, architecture, and collaboration |
Engage software engineering directors and academic program leaders |
Dev tools, testing frameworks, repositories, secure coding platforms, training |
| Computer Technologies |
Research-grade systems, computing environments, and technical infrastructure |
Position infrastructure or hardware-software integration offers |
Workstations, cloud resources, networking, edge computing, lab systems |
| Modeling Technology |
Simulation, system modeling, analytical environments, and validation tools |
Reach modeling researchers, engineering teams, and innovation labs |
Simulation platforms, digital twins, analytics software, visualization tools |
| Research Publication and Dissemination |
Submission management, paper publishing, indexing visibility |
Useful for academic workflow providers and publishing-tech vendors |
Conference systems, editorial workflow tools, peer-review software, analytics |
| Industry-Academia Collaboration |
Partnerships, applied research, talent, and proof-of-concept opportunities |
High-value networking with research directors and innovation stakeholders |
Co-development services, grants support, pilot programs, technical consulting |
Lead Quality Assessment
| Factor |
Assessment |
Explanation |
| Buyer relevance |
High |
Strong relevance for research software, AI tools, technical platforms, publishing workflow, and academic partnerships. |
| Decision-maker availability |
Medium |
Senior researchers and academic heads are likely present, but formal institutional purchasing may sit beyond conference participants alone. |
| Data collection potential |
Low to Medium |
Public attendee, buyer, or exhibitor lists are not clearly disclosed in the reviewed official content. |
| Apollo targeting potential |
High |
Relevant audiences can be modeled effectively by industry, department, seniority, research keywords, and geography. |
| Geographic targeting potential |
High |
France and wider Europe are practical core markets, with broader international prospecting also relevant. |
| Best outreach approach |
High |
Thought-leadership outreach, partnership-led messaging, research use cases, and technical solution demos are most effective. |
| Overall lead quality |
Medium to High |
High quality for niche technical and academic buyers; weaker for high-volume commercial attendee-list generation. |
| Best use case |
High |
Best for account-based outreach, research partnership prospecting, and targeting software/AI decision influencers in academia and R&D. |
| Limitations / risks |
Medium |
Limited official attendee transparency reduces certainty for direct event-attendee list building. Not ideal if the objective is a large confirmed buyer roster. |
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; Government Administration; Education Management |
Build a core audience aligned with academic, research, and applied technology stakeholders. |
| Departments |
Engineering; Information Technology; Research; Education; Operations; Procurement; Business Development; Partnerships |
Capture both technical influencers and institutional decision-makers. |
| Seniority |
C-Level; VP; Director; Head; Manager; Senior |
Prioritize budget authority and technical influence. |
| Job titles |
Research Director; Professor; Principal Investigator; Department Chair; Head of Computer Science; Software Engineering Director; AI Lead; Data Science Lead; CIO; IT Director; Innovation Director; Procurement Manager; Program Manager; Academic Partnerships Manager |
Focus on roles most likely to engage with conference themes and solution evaluation. |
| Geography |
France; Italy; Spain; Germany; United Kingdom; wider Europe; optional global expansion |
Match likely strongest attendee origin zones. |
| Employee size |
51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ |
Suitable for universities, research institutes, and established technology organizations. |
| Keywords |
computer science, software engineering, modeling, artificial intelligence, communication systems, simulation, research lab, academic conference, IEEE, Scopus, CPS, engineering school |
Improve precision for event-alike audience building. |
| Technologies, if relevant |
AI/ML stack, cloud compute, developer tools, data platforms, simulation software |
Useful for software and infrastructure vendors selling into research environments. |
| Revenue range, if relevant |
Use optional filter; not essential for higher education and research prospecting |
Can refine enterprise technology targets, but is less useful for universities. |
| Company type |
Universities; research institutes; public-sector organizations; enterprise software companies; engineering schools; R&D-focused firms |
Separates core institutional buyers from broader market noise. |
| Funding / public company filters, if relevant |
Optional for private/public tech companies; not required for university-led targeting |
Helpful when expanding beyond the academic segment into enterprise R&D. |
Suggested Apollo Search Logic: (“computer science” OR “software engineering” OR “artificial intelligence” OR “modeling” OR “simulation” OR “research lab”) AND (Professor OR “Research Director” OR “Department Chair” OR “IT Director” OR “Innovation Director” OR “Software Engineering Director”) AND (France OR Italy OR Spain OR Europe).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
Suitability for B2B attendee list building: Moderate but limited by public attendee transparency. Best suited for targeted outreach into academic, research, and technical decision-maker segments rather than bulk confirmed attendee-list sales.