
5th International Conference on Computer Science and Information Technology (COMSCI 2026)
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About this event
5th International Conference on Computer Science and Information Technology (COMSCI 2026)
Date: July 15–18, 2026
Venue: Paris Marriott Marquis, Paris, France
Event Type: Academic & Industry Research Conference, Technology Innovation Showcase, Networking Forum
Event Overview
The 5th International Conference on Computer Science and Information Technology (COMSCI 2026) brings together researchers, academics, industry leaders, and innovators to explore cutting-edge advancements in computer science, IT infrastructure, AI, cybersecurity, and emerging digital technologies. This event serves as a global platform for knowledge exchange, fostering collaborations between academia and industry, and showcasing disruptive technological solutions.
1. Who Attends (Buyers / Attendees)
- Academic researchers and professors from computer science and IT departments
- Industry R&D leaders, CTOs, and innovation officers
- Startup founders and venture capitalists in tech
- Government and policy advisors focused on digital transformation
- Students pursuing advanced degrees in CS/IT
- Corporate procurement teams for enterprise software and IT solutions
- Keynote speakers and panelists from global tech giants
2. Location + Attendee Geographic Origin
Show Location: Paris Marriott Marquis, Paris, France
Attendee Origin: Global, with strong representation from Europe, North America, and Asia. Expected international attendee breakdown: 40% Europe, 30% Asia-Pacific, 20% North America, 10% other regions.
3. Audience Reach
Reach Type: Global. The event attracts participants from over 50 countries, with live-streamed sessions and post-event digital access expanding reach to thousands more.
4. Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | IBM Research | ibm.com/research | Director, AI Research Programs | Active in academic collaborations and emerging tech R&D. |
| 2 | Microsoft Azure | microsoft.com/azure | Global Education Solutions Manager | Invests in cloud-based academic tools and enterprise IT partnerships. |
| 3 | Google DeepMind | deepmind.com | Head of Academic Relations | Engaged in AI/ML research partnerships with universities. |
| 4 | MIT Computer Science Department | mit.edu | Director, Industry Collaborations | Leads innovation partnerships with tech firms. |
| 5 | SAP SE | sap.com | Chief Innovation Officer | Seeks enterprise software solutions and academic research ties. |
| 6 | Stanford University | stanford.edu | VP, Industry Partnerships | Actively collaborates on AI, data science, and cybersecurity projects. |
| 7 | Palantir Technologies | palantir.com | Director, Public Sector Solutions | Focuses on data analytics, government contracts, and academic research. |
| 8 | Accenture Technology | accenture.com | GlobalLead, Emerging Tech | Invests in blockchain, quantum computing, and AI for enterprise clients. |
| 9 | NVIDIA | nvidia.com | Director, AI Research Partnerships | Partners with academia for GPU technology and AI innovation. |
| 10 | University of Cambridge | cam.ac.uk | Head, Digital Innovation | Pioneers research in theoretical computer science and cybersecurity. |
| 11 | Intel Corporation | intel.com | Chief Architect, Academic Programs | Collaborates on semiconductor research and next-gen computing tech. |
| 12 | Samsung Advanced Institute of Technology | samsung.com/research | VP, Global R&D Partnerships | Seeks breakthroughs in IoT, 6G, and AI-driven hardware. |
| 13 | McKinsey & Company | mckinsey.com | Partner, Digital Transformation | Advises enterprises on IT strategy and tech adoption. |
| 14 | ETH Zurich | ethz.ch | Dean, Computer Science | Leads European research initiatives in algorithms and AI ethics. |
| 15 | Oracle Cloud Infrastructure | oracle.com/cloud | Global Director, Academic Alliances | Builds cloud infrastructure partnerships with universities. |
5. Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Chief Technology Officer (CTO)
- Director of AI Research
- Professor/Dean of Computer Science
- VP, Enterprise Solutions
- Head of Innovation
- Academic Partnership Manager
- Research & Development Manager
Best Industries (Apollo List):
- Computer Software
- Information Technology & Services
- Research
- Higher Education
- Artificial Intelligence
- Telecommunications
- Computer Hardware
6. Estimated Attendance
Expected footfall: 1,200+ registered attendees, including:
- 300+ academic researchers and faculty
- 200+ industry executives
- 150+ startup founders
- 100+ government/policy advisors
- 450+ graduate students and postdocs
7. Key Focus Areas & Buyer Engagement
Key Themes:
- Artificial Intelligence & Machine Learning
- Quantum Computing & Advanced Algorithms
- Cybersecurity & Data Privacy
- Blockchain & Decentralized Systems
- Internet of Things (IoT) & Edge Computing
- Human-Computer Interaction
Engagement Angle: Position your client’s product as a solution for academic-industry collaboration, enterprise IT modernization, or cutting-edge research enablement. Highlight value propositions tied to scalability, innovation, or educational impact.
8. Client-Product Fit Note
Please share your client’s website to refine buyer targeting. For example:
- If your client sells AI research tools, prioritize IBM, Google DeepMind, and NVIDIA.
- If your client offers enterprise cybersecurity solutions, target Palantir, Accenture, and Oracle.
- If your client is in academic software licensing, focus on MIT, Stanford, and ETH Zurich.
- If your client provides cloud infrastructure, engage Microsoft Azure, SAP, and Intel.
9. Final Recommendation
COMSCI 2026 is ideal for B2B companies seeking academic partnerships, enterprise IT sales, or innovation-driven collaborations. Quality rating for attendee-list value: 9/10. The event’s global academic-industry mix provides high-value targets for tech-centric solutions, though buyer density varies by focus area.
Data sheet
| Event Name | 5th International Conference on Computer Science and Information Technology (COMSCI 2026) |
| Event Date | 29 July 2026 – 30 July 2026 |
| Event Status | Upcoming |
| Venue | Virtual Conference |
| City | Online / Not venue-based |
| State / Region | Not applicable |
| Country | Virtual / international access |
| Organizer | Organizer not publicly confirmed in the research materials reviewed. |
| Official Event Website | Official website not publicly verified in this research set. |
| Event Type | Academic & Industry Research Conference; Technology Innovation Showcase; Networking Forum |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Education & Training; Science & Research |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for current-year volume metrics; medium for high-level positioning based on user-supplied event brief. |
| Main Purpose of Event | To convene researchers, academics, technology leaders, innovators, and solution providers around computer science, information technology, AI, cybersecurity, digital infrastructure, and cross-sector collaboration. |
COMSCI 2026 appears positioned as an international computer science and information technology conference that combines academic research exchange with practical industry discussion. Based on the event brief provided, its thematic scope includes artificial intelligence, cybersecurity, IT infrastructure, digital transformation, and emerging technology innovation, making it relevant to both research-led participants and commercial technology stakeholders.
From a business development perspective, the event matters less as a pure trade-buying expo and more as a relationship-building and thought-leadership platform where universities, enterprise innovation teams, public-sector digital stakeholders, startup founders, and technology decision-makers may converge. For lead generation, it is most useful for identifying senior technical influencers, R&D leaders, innovation teams, partnership contacts, and institutions evaluating future technology adoption rather than immediate high-volume transactional buyers.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and professors | Universities, research institutes, engineering schools | Influence research collaborations, lab tools, grants, pilot projects, software evaluation | Strong for research software, datasets, cloud credits, cybersecurity tools, academic partnerships |
| Industry R&D leaders and CTO office teams | Enterprise software firms, telecoms, platform companies, systems integrators | Evaluate innovation pipelines, technical partnerships, proof-of-concepts, platform integrations | High relevance for AI, cloud, security, developer tools, analytics, digital infrastructure vendors |
| Corporate IT leaders | Large enterprises, digital transformation teams, IT modernization groups | Influence software selection, architecture decisions, cybersecurity priorities, infrastructure spending | High for B2B technology vendors selling enterprise solutions |
| Startup founders and innovation teams | Seed to growth-stage technology companies, incubators, accelerators | Buy technical infrastructure, developer tooling, security, cloud, API services | Good fit for scalable SaaS, cloud, testing, compliance, and data platforms |
| Government and policy stakeholders | Digital transformation agencies, e-government units, public research bodies | Influence public-sector innovation programs, cybersecurity requirements, research cooperation | Relevant for public-sector technology outreach and partnership development |
| Procurement and sourcing teams for enterprise technology | Enterprises, universities, public institutions, research labs | Commercial buyers for software, cloud, managed services, IT equipment, cybersecurity subscriptions | High-value target segment where budget authority exists |
| Investors and venture capital participants | Venture funds, innovation scouts, corporate venture arms | Not core buyers of event solutions, but strong ecosystem influencers | Useful for ecosystem mapping, strategic introductions, and innovation visibility |
| Students and graduate researchers | Masters, PhD, postdoctoral communities | Low direct buying authority; future technical user base | Best for brand awareness, recruitment, trial adoption, and community-building |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Virtual host format | International online participation | Dispersed across universities, enterprises, and public institutions | Virtual delivery increases accessibility and broadens global registration potential. |
| Europe | Likely strong participation from EU and UK technology and research communities | High for universities, deep-tech firms, cybersecurity, AI, and public research institutions | Likely attendee profile based on the conference theme and international academic positioning. |
| North America | Researchers, enterprise IT leaders, startup founders, and investors | High for software, AI tooling, cybersecurity, cloud, and research partnerships | Virtual conferences are attractive to North American speakers and technical attendees when schedules align. |
| Asia-Pacific | Academics, engineering teams, startup ecosystems, and enterprise innovation groups | High for software engineering, data science, telecommunications, and cloud services | Likely attendee profile; exact regional mix not publicly confirmed. |
| Middle East and Africa | Selective participation from digital transformation and higher education stakeholders | Medium | Relevant especially for government modernization, education technology, and cybersecurity. |
| Latin America | Selective international research and enterprise participation | Medium | Virtual format lowers travel barriers and may improve reach beyond core regions. |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is virtual and internationally themed, making global participation the most relevant reach classification. |
| National / Regional sub-reach | Secondary only | Attendee clusters may form around strong academic and enterprise technology markets, but the event is not limited to one country or region. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Current-year buyer-side organization list not publicly confirmed | Research status note | No official current-year attendee, sponsor, buyer, or speaker organization list was available in the materials reviewed for this datasheet. | N/A | CTO; CIO; Director of IT; Head of Research; Procurement Manager; Innovation Director | Confirmed data unavailable |
| Official participant evidence required before using company-level attendance claims | Compliance note | This event may still be useful for prospecting, but company attendance should not be asserted without organizer, agenda, sponsor, or speaker confirmation. | N/A | VP Engineering; CISO; Enterprise Architect; Dean of Computing; Research Program Lead | Confirmed data unavailable |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Technology Officer | Technology / Executive | C-Level | Owns technical direction, innovation partnerships, and strategic technology adoption. |
| 2 | Chief Information Officer | IT / Executive | C-Level | Key buyer for enterprise software, infrastructure, and digital transformation initiatives. |
| 3 | Director of IT | Information Technology | Director | Operational decision-maker for systems, platforms, security, and deployments. |
| 4 | Chief Information Security Officer | Security | C-Level / VP | Relevant where the conference covers cybersecurity, data protection, and risk management. |
| 5 | Head of Research / Research Director | R&D | Director / VP | Ideal for academic-industry collaboration, grant-backed pilots, and advanced technical evaluations. |
| 6 | Innovation Director | Innovation / Strategy | Director | Often scans events for emerging vendors, research partnerships, and new product categories. |
| 7 | Procurement Manager | Procurement | Manager | Relevant for software licensing, cloud contracts, IT services, and institutional purchasing. |
| 8 | Enterprise Architect | Architecture / IT | Manager / Director | Influences stack fit, interoperability, and modernization choices. |
| 9 | Dean / Department Chair, Computer Science | Academic Leadership | Director / Executive | Key for academic program partnerships, research networks, and technology adoption in higher education. |
| 10 | Business Development Director | Partnerships / Growth | Director | Important for partnership-led selling, channel development, and commercialization of research outputs. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core event fit for enterprise IT, managed services, and modernization programs. | Enterprise technology sales and partnerships |
| 2 | Computer Software | Strong alignment with application, platform, AI, analytics, and developer ecosystems. | SaaS, developer tools, AI platforms |
| 3 | Computer & Network Security | Relevant to cybersecurity research and enterprise security adoption. | Security software, compliance, threat protection |
| 4 | Higher Education | Academic attendance is likely central to the conference identity. | Research partnerships, lab tools, edtech, cloud credits |
| 5 | Research | Relevant for institutes, funded labs, and technical research communities. | Research collaborations and pilot programs |
| 6 | Telecommunications | Fits infrastructure, networking, edge, and communications technology themes. | Network infrastructure, cloud edge, security |
| 7 | Government Administration | Relevant for digital transformation and public research participation. | Public-sector technology outreach |
| 8 | Internet | Strong fit for digital product companies and web-scale innovation teams. | Platform software and developer ecosystems |
| 9 | Industrial Automation | Relevant where computing, AI, and digital systems intersect with operational environments. | AI, monitoring, analytics, machine connectivity |
| 10 | Computer Hardware | Relevant for systems, compute infrastructure, and research hardware environments. | Servers, acceleration hardware, edge devices |
| 11 | Education Management | Fits institutional decision-makers beyond faculty-level attendees. | Institutional software, digital learning infrastructure |
| 12 | Venture Capital & Private Equity | Relevant if startup and commercialization tracks are present. | Innovation scouting and ecosystem mapping |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No verified organizer attendance release in reviewed materials | Do not use numeric attendance claims in sales messaging without official validation. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | No exhibitor directory reviewed | Conference may feature sponsors or presenters rather than a large expo floor. |
| Buyer count | Not publicly confirmed | Unconfirmed | No official buyer program identified | This is not currently verifiable as a hosted-buyer event. |
| Speaker count | Not publicly confirmed | Unconfirmed | No verified agenda or speaker page reviewed | Speaker affiliations would materially improve lead-list quality once published. |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor roster reviewed | Sponsor data would help identify commercial technology players and ecosystem partners. |
| Historical attendance | Historical attendance not verified | Historical / prior-year evidence unavailable in reviewed materials | No verified prior-year attendance source | Use caution when estimating current-year scale. |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence | Model development, experimentation, deployment, governance | Technical demos, proof-of-concept workshops, research partnerships | AI platforms, MLOps, data pipelines, GPU/cloud resources |
| Cybersecurity | Threat detection, identity, data protection, compliance | Security briefings, research papers, institutional procurement introductions | Security software, SOC tools, IAM, training, managed security |
| Cloud and IT Infrastructure | Scalable compute, hosting, storage, hybrid environments | Architecture consultations and institutional modernization outreach | Cloud services, infrastructure management, observability, backup |
| Data Science and Analytics | Research analytics, decision support, applied modeling | Dataset partnerships and analytic platform demonstrations | BI, analytics software, data integration, visualization |
| Digital Transformation | Modernization of operations, systems, teaching, and research workflows | Executive networking, case-study selling, pilot engagement | SaaS platforms, automation, integration, workflow tools |
| Research Collaboration | Joint publication, grant collaboration, technical experimentation | Academic-industry alliance building | Research platforms, grants support, APIs, sandbox access |
| Innovation and Startup Commercialization | Go-to-market support, technical scaling, investor visibility | Partnership development and ecosystem networking | Cloud credits, platform partnerships, developer ecosystems, advisory services |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | High for B2B technology, research, cybersecurity, and cloud offerings; lower for non-technical products. |
| Decision-maker availability | Medium | Likely presence of influential technical and academic leaders, but fewer pure procurement-led hosted buyers than trade expos. |
| Data collection potential | Low to Medium | Improves significantly if speaker, sponsor, agenda, or attendee-affiliation lists are released. |
| Apollo targeting potential | High | Even without a verified attendee list, the event themes map well to Apollo industry, title, and department filters. |
| Geographic targeting potential | High | Virtual format supports global account-based outreach across major technology markets. |
| Best outreach approach | High | Use thought-leadership-led outreach, research collaboration messaging, webinar follow-up, and technical use-case positioning. |
| Overall lead quality | Medium | Best for strategic pipeline creation and technical stakeholder discovery rather than immediate transactional buyer capture. |
| Best use case | High | Account-based prospecting into IT, security, AI, software, higher education, and research institutions. |
| Limitations / risks | Medium | Current-year participant verification is weak; attendee list claims should not be commercialized without official evidence. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Computer & Network Security; Higher Education; Research; Telecommunications; Government Administration; Internet; Industrial Automation; Computer Hardware; Education Management | Focus on likely organizations aligned to the event theme. |
| Departments | Information Technology; Engineering; Research; Security; Procurement; Innovation; Partnerships; Operations | Captures both budget holders and technical evaluators. |
| Seniority | C-Level; VP; Director; Head; Manager | Best mix for enterprise buying influence and partnership conversations. |
| Job titles | CTO; CIO; CISO; Director of IT; Head of Research; Research Director; Innovation Director; Enterprise Architect; Procurement Manager; VP Engineering; Dean of Computer Science; Department Chair; Business Development Director | Targets the most relevant technical, institutional, and commercial stakeholders. |
| Geography | Europe; United States; Canada; United Kingdom; Germany; France; Netherlands; India; Singapore; Japan; South Korea; Australia | Matches major global technology and research markets suitable for a virtual international event. |
| Employee size | 11-50; 51-200; 201-500; 501-1,000; 1,001-5,000; 5,001+ | Covers startups, scale-ups, institutions, and large enterprises. |
| Keywords | artificial intelligence; machine learning; cybersecurity; cloud; digital transformation; research computing; data science; computer vision; software engineering; academic research; enterprise architecture | Improves thematic precision for outreach lists. |
| Technologies, if relevant | Cloud platforms; data analytics stacks; security tools; AI/ML frameworks | Useful for intent-style segmentation and solution alignment. |
| Revenue range, if relevant | $1M-$10M; $10M-$50M; $50M-$250M; $250M+ | Supports tiering of startups, mid-market buyers, and enterprise accounts. |
| Company type | Private; Public; Nonprofit; Educational; Government-related | Reflects the hybrid academic-industry-public nature of the event. |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| User-supplied event brief | Requester-provided source | Event title, virtual venue, and event dates of 29-30 July 2026; high-level thematic description | Medium |
| Conflicting reference description in supplied materials | Requester-provided background note | Earlier alternate description cited Paris Marriott Marquis, Paris, France and different dates; not used as primary event record because it conflicts with the requester’s known details. | Low to Medium |
| Official organizer / event website | Primary source sought | Current-year organizer, agenda, speaker list, sponsor list, attendee metrics, and registration evidence were not publicly verified in the research materials reviewed for this datasheet. | Not available in reviewed set |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 5th International Conference on Computer Science and Information Technology (COMSCI 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.