2026 11th International Conference on Biomedical Signal and Image Processing (ICBIP 2026) – Event Attendee & Buyer Profile Analysis
| Event Name |
2026 11th International Conference on Biomedical Signal and Image Processing (ICBIP 2026) |
| Event Date |
August 14–16, 2026 |
| Event Status |
Upcoming |
| Venue |
Specific venue not publicly confirmed on the official event website at the time of research. |
| City |
Shanghai |
| State / Region |
Shanghai Municipality |
| Country |
China |
| Organizer |
Organizer not clearly named on the supplied official website text; the event is confirmed as sponsored by Fudan University. |
| Official Event Website |
icbip.org |
| Event Type |
International academic conference / research and innovation meeting |
| Primary Category |
Medical & Pharma |
| Secondary Applicable Categories |
IT & Technology; Science & Research |
| Audience Reach |
Global academic and applied-research reach, with strong China and Asia-Pacific relevance |
| Estimated Attendance / Expected Footfall |
Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability |
Low for volume metrics; high for event identity, dates, city, country, sponsor, and thematic scope based on official website content. |
| Main Purpose of Event |
To present peer-reviewed research, exchange knowledge, support collaboration, and discuss advances in biomedical signal processing, image analysis, medical imaging, wearable sensing, computational pathology, brain-computer interfaces, and related interdisciplinary technologies. |
ICBIP 2026 is an international conference focused on biomedical signal and image processing, covering topics such as AI-enabled multimodal imaging, wearable and implantable biosignal sensing, computational histopathology, brain-computer interfaces, intelligent ultrasound, and multi-omics data integration. The official website confirms that the 2026 edition will take place in Shanghai, China from August 14 to 16, 2026 and is sponsored by Fudan University.
From a commercial and partnership perspective, this event is most relevant for research-led buyers, clinical innovation teams, university laboratories, hospitals, medtech R&D groups, imaging software developers, biosensor companies, and applied AI organizations. It is better suited for high-value expert networking, collaborative research outreach, pilot programs, instrumentation partnerships, publication visibility, and long-cycle business development than for mass-market attendee list building.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| University research labs |
Universities, engineering schools, biomedical research centers |
Influence specification of software, instruments, datasets, sensors, compute tools, and lab platforms |
High relevance for imaging software, analytics platforms, data tools, sensors, and collaborative R&D solutions |
| Hospital imaging and clinical research teams |
Academic medical centers, radiology departments, pathology departments, translational medicine institutes |
Evaluate clinical workflow fit, research pilots, validation, and adoption pathways |
Strong fit for medical imaging AI, digital pathology, data integration, and clinical decision-support suppliers |
| Medtech and device R&D leaders |
Medical device manufacturers, biosensor developers, ultrasound and diagnostics companies |
Assess component technologies, algorithms, collaborations, and translational research opportunities |
Relevant for signal processing IP, embedded sensing, hardware-software integration, and product innovation |
| AI and health-tech product teams |
Medical AI firms, diagnostics software vendors, healthcare analytics companies |
Influence partner selection, algorithm sourcing, platform evaluation, and technical validation |
Important for partnership-led selling and expert-user acquisition |
| Biomedical engineering faculty and scholars |
Professors, principal investigators, postdoctoral researchers |
Shape future adoption, citations, lab procurement direction, and collaboration priorities |
Useful for thought-leadership outreach and early-stage technology validation |
| Biomedical data science and computational pathology teams |
Research institutes, pathology AI teams, translational genomics labs |
Evaluate software tools, cloud compute, annotation systems, image pipelines, and data integration methods |
High fit for data infrastructure, annotation, MLOps, and image analysis vendors |
| Wearables and biosignal innovators |
Sensor startups, embedded systems firms, digital health companies |
Influence component sourcing, firmware, data capture architecture, and validation partnerships |
Relevant for electronics, embedded analytics, connectivity, and low-power sensing vendors |
| Publishers, conference partners, and scientific service providers |
Proceedings partners, scholarly journals, indexing ecosystems, event support organizations |
Influence publication visibility, academic credibility, and institutional participation |
Lower direct buying value, but useful for ecosystem partnerships and visibility |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Shanghai |
Local universities, hospitals, biotech clusters, AI research groups |
High |
Shanghai is a major Chinese hub for life sciences, healthcare, engineering, and academic research. |
| Shanghai Municipality / East China |
Regional institutions from surrounding research and hospital networks |
High |
Likely draw from broader East China academic and medical ecosystems. |
| Major China research hubs |
Beijing, Shenzhen, Guangzhou, Chengdu, Hangzhou, Nanjing, Wuhan, Xi'an |
Medium to High |
Likely national participation due to conference scope, publication pathway, and sponsor reputation. |
| Asia-Pacific |
Japan, South Korea, Singapore, Hong Kong, Taiwan, Southeast Asia |
Medium |
Historical edition footprint across Asia supports likely regional international attendance. |
| Europe and other international markets |
Academic contributors, reviewers, invited speakers, and research collaborators |
Medium |
The official website describes participation from various corners of the world, indicating international relevance. |
3. Audience Reach
4. Sample Buyer Companies and Websites
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| Fudan University |
University / research sponsor |
Officially confirmed sponsor; highly relevant for biomedical engineering, medical imaging, and academic collaboration. |
fudan.edu.cn |
Professor, Principal Investigator, Lab Director, Biomedical Engineering Director, Research Program Manager |
Confirmed Sponsor / Exhibitor |
| Seoul National University |
University / prior host institution |
Referenced by the official history as a previous edition location, indicating proven institutional relevance to the conference series. |
snu.ac.kr |
Professor, Department Chair, Imaging Research Lead, AI Research Director |
Prior-Year Participation Evidence |
| Kyushu Institute of Technology |
University / prior host institution |
Officially cited in the conference history as a previous host location, supporting relevance to ongoing ICBIP participation networks. |
kyutech.ac.jp |
Professor, Research Center Director, Biomedical Systems Lead |
Prior-Year Participation Evidence |
| NARIC Food Science Research Institute |
Research institute / prior host institution reference |
Named in official conference history as a previous edition location in Budapest. |
naric.hu |
Research Director, Program Lead, Scientific Collaboration Manager |
Prior-Year Participation Evidence |
| IEEE Xplore |
Publication ecosystem stakeholder |
Proceedings are planned for submission to IEEE Xplore, making IEEE-affiliated research communities relevant to conference participation and visibility. |
ieeexplore.ieee.org |
Research Publishing Manager, Conference Publications Lead, Scientific Program Manager |
Confirmed Speaker Organization |
| Journal of Image and Graphics (JOIG) |
Journal / publication partner |
Official publication option for accepted papers, relevant for scholarly outreach and author-side decision making. |
joig.org |
Editor, Journal Manager, Scientific Publishing Coordinator |
Confirmed Speaker Organization |
Note: No official current-year attendee, exhibitor, buyer, or sponsor directory beyond the sponsor reference was publicly confirmed in the supplied official website text. The table above therefore prioritizes only organizations directly evidenced by official current-year content or official conference history. Prior-year participation evidence is not a confirmed attendee list for the current edition.
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 |
Professor / Principal Investigator |
Research / Biomedical Engineering |
Director / Head / Senior |
Core scientific decision-maker for collaborations, research tools, pilot studies, and lab adoption. |
| 2 |
Lab Director |
Research Operations |
Director |
Influences procurement of instrumentation, software platforms, datasets, and workflow tools. |
| 3 |
Director of Medical Imaging |
Clinical Imaging / Radiology |
Director |
Relevant for imaging AI, workflow optimization, image quality enhancement, and diagnostics innovation. |
| 4 |
Head of Pathology Informatics |
Pathology / Data Science |
Head / Director |
Important for computational histopathology, digital pathology workflows, and AI validation. |
| 5 |
R&D Director |
Product Development / Engineering |
Director / VP |
Key role in medtech, diagnostics, and sensor companies evaluating technology partnerships. |
| 6 |
Biomedical Engineering Director |
Engineering / Clinical Innovation |
Director |
Often owns evaluation of signal acquisition, device integration, and applied algorithms. |
| 7 |
Data Science Lead |
AI / Analytics |
Manager / Director |
Relevant for model deployment, image interpretation pipelines, and data integration software. |
| 8 |
Clinical Research Manager |
Clinical Research |
Manager |
Supports trial design, validation studies, data partnerships, and translational adoption. |
| 9 |
Product Manager, Medical AI |
Product |
Manager / Director |
Useful for commercial pilots, software integration, and partner-sourcing decisions. |
| 10 |
Research Program Manager |
Research Administration |
Manager |
Coordinates collaborative projects, budgets, partnerships, and event follow-up. |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 |
Research |
Core fit for institutes and scientific organizations attending research conferences. |
Lab tools, imaging analytics, funded research partnerships |
| 2 |
Higher Education |
Universities are a primary participant class per the official event description. |
Academic collaborations, instrumentation, data software |
| 3 |
Hospital & Health Care |
Relevant for clinical imaging, pathology, diagnostics, and translational medicine teams. |
Clinical pilot programs, diagnostic workflow tools |
| 4 |
Medical Devices |
Strong fit for wearable sensing, imaging devices, and biosignal hardware developers. |
Sensor integration, embedded analytics, component partnerships |
| 5 |
Biotechnology |
Relevant to imaging-genomics and translational health research. |
Multi-omics analytics, biomarker studies, AI-assisted diagnostics |
| 6 |
Pharmaceuticals |
Useful where imaging, pathology, and biomarker analytics support research and trials. |
Clinical research, data modeling, companion diagnostics |
| 7 |
Information Technology & Services |
Applicable to data platforms, imaging systems integration, and enterprise health-tech support. |
Software integration, workflow modernization, data architecture |
| 8 |
Computer Software |
Matches AI imaging, analysis software, annotation tools, and model deployment platforms. |
Medical imaging AI, pathology software, biosignal analytics |
| 9 |
Electrical/Electronic Manufacturing |
Relevant to wearable and implantable biosignal sensing technologies. |
Sensor hardware, device subsystems, portable instrumentation |
| 10 |
Nanotechnology |
Potentially relevant for advanced sensing and implantable device research. |
Advanced sensing materials and miniaturized biomedical systems |
| 11 |
Medical Practice |
Covers physician-led and hospital-affiliated adoption of imaging and pathology technologies. |
Clinical evaluation, practitioner adoption, workflow use |
| 12 |
Education Management |
Relevant for academic program leadership and conference-driven institutional engagement. |
Training partnerships, academic programs, conference promotion |
6. Estimated Attendance
| Metric |
Figure |
Status |
Source / Basis |
Notes |
| Estimated total footfall |
Attendance figure not publicly confirmed by the organizer. |
Not publicly confirmed |
Official website text reviewed |
No attendee volume disclosed in supplied source text. |
| Exhibitor count |
Not publicly confirmed |
Not publicly confirmed |
Official website text reviewed |
This appears to be a conference rather than an exhibition-led event. |
| Buyer count |
Not publicly confirmed |
Not publicly confirmed |
Official website text reviewed |
No formal hosted-buyer or procurement-buyer program disclosed. |
| Speaker count |
Not publicly confirmed |
Not publicly confirmed |
Official website navigation reviewed |
Committee and speaker pages exist, but total count was not provided in the supplied text. |
| Sponsor count |
1 publicly identified in supplied source text |
Confirmed minimum |
Official website overview |
Fudan University is confirmed as sponsor; additional supporters are not named in the supplied text. |
| Historical attendance |
Not publicly confirmed |
Historical / prior-year evidence unavailable in supplied source text |
Official website text reviewed |
No prior-year attendee statistics were included in the provided official content. |
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| AI and multimodal medical image fusion |
Higher diagnostic accuracy, feature extraction, prognosis modeling |
Research pilots, algorithm validation, clinical workflow integration discussions |
Medical imaging AI, annotation platforms, model evaluation tools |
| Wearable and implantable biosignal sensing |
Continuous physiological monitoring, low-power analytics, sensor reliability |
Device development partnerships, sensing component sourcing, embedded software outreach |
Sensors, embedded systems, low-power processing, digital health platforms |
| Digital pathology and computational histopathology |
Whole-slide image analysis, tumor microenvironment quantification, automation validation |
Clinical collaborations, image pipeline demonstrations, pathology AI deployments |
Digital pathology software, image storage, AI diagnostics, data labeling tools |
| Brain-computer interfaces and neural engineering |
Signal decoding accuracy, real-time control, rehabilitation applications |
Joint research, hardware-software integration, translational studies |
Neural signal software, sensing hardware, rehabilitation control systems |
| Intelligent ultrasound and interventional navigation |
Improved image quality, lesion tracking, procedure guidance |
Hospital demos, OEM technology discussions, ultrasound AI validation |
Ultrasound imaging software, navigation systems, surgical visualization tools |
| Biomedical image integration with genomic / proteomic data |
Cross-scale data integration, personalized treatment optimization, visualization |
Data platform selling, translational research partnerships, advanced analytics workshops |
Multi-omics platforms, data integration tools, visualization and modeling software |
| Factor |
Assessment |
Explanation |
| Buyer relevance |
High |
Strong relevance for specialized biomedical imaging, biosignal, AI, and research-enablement offerings. |
| Decision-maker availability |
Medium |
Attendees are likely influential technical evaluators and research leaders rather than pure procurement buyers. |
| Data collection potential |
Low to Medium |
No public attendee directory or buyer program was confirmed, limiting direct list-building reliability. |
| Apollo targeting potential |
High |
Well suited to account-based targeting across universities, hospitals, medtech companies, and biomedical AI vendors. |
| Geographic targeting potential |
High |
Shanghai, broader China, and Asia-Pacific research corridors create clear geographic segments for outreach. |
| Best outreach approach |
High |
Use collaboration-led messaging: research outcomes, validation, pilot studies, workflow fit, and publication-quality use cases. |
| Overall lead quality |
High for niche B2B / research sales |
Best for high-value, technically complex solutions rather than commodity products. |
| Best use case |
High |
Ideal for expert prospecting, conference-network mapping, account-based outreach, and collaboration targeting. |
| Limitations / risks |
Medium |
Limited public attendee visibility; many contacts may be research influencers rather than immediate budget owners. This event is suitable for targeted B2B attendee intelligence, but not ideal for broad, high-volume attendee list sales without additional verified sources. |
| Filter Type |
Recommended Filters |
Purpose |
| Apollo industries |
Research; Higher Education; Hospital & Health Care; Medical Devices; Biotechnology; Pharmaceuticals; Computer Software; Information Technology & Services; Electrical/Electronic Manufacturing; Medical Practice |
Maps the main institutional and commercial audiences relevant to ICBIP topics. |
| Departments |
Research, Engineering, Product, Information Technology, Clinical Research, Operations |
Captures both scientific and applied technology stakeholders. |
| Seniority |
Director, VP, Head, Manager, CXO, Owner, Partner, Professor-equivalent titles where available |
Focuses on budget influencers, research leaders, and partnership owners. |
| Job titles |
Professor, Principal Investigator, Lab Director, Director of Medical Imaging, Head of Pathology Informatics, R&D Director, Biomedical Engineering Director, Clinical Research Manager, Data Science Lead, Product Manager Medical AI |
Captures high-fit contacts aligned to conference tracks. |
| Geography |
China, Shanghai, Beijing, Shenzhen, Guangzhou, Chengdu, Hangzhou, Nanjing, Wuhan, Xi'an; plus Japan, South Korea, Singapore, Hong Kong |
Prioritizes the strongest likely attendee origin markets. |
| Employee size |
51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ |
Targets established research institutions, hospitals, and medtech organizations. |
| Keywords |
biomedical signal processing, medical imaging, computational pathology, digital pathology, biosignal, wearable sensing, ultrasound imaging, radiogenomics, neural engineering, brain-computer interface, biomedical AI |
Improves precision around the conference’s topic focus. |
| Technologies |
AI/ML stack, imaging software, cloud analytics, embedded sensing, pathology systems, medical device software |
Useful if selling technology integrations or specialized software. |
| Revenue range |
Use selectively for commercial firms; not recommended as a primary filter for universities and hospitals |
Avoid over-filtering nonprofit and institutional targets. |
| Company type |
Educational institution, private company, public company, nonprofit, hospital system, research institute |
Broadens discovery across academic and commercial buyer ecosystems. |
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.
| Source |
Type |
What It Verified |
Reliability |
| ICBIP 2026 Official Website |
Official event website |
Confirmed event name, dates, city, country, sponsor, research scope, publication options, important dates, and conference tracks. |
Very High |
| ICBIP Official Website – History / Overview Content |
Official historical event content |
Verified prior-edition references including Chengdu 2023 and earlier host institutions such as Seoul National University, Kyushu Institute of Technology, and NARIC Food Science Research Institute. |
High |
| Fudan University |
Official institution website |
Validated sponsor organization identity and institutional domain. |
High |
| Seoul National University |
Official institution website |
Validated organization/domain for prior-year historical reference named on the official conference site. |
High |
| Kyushu Institute of Technology |
Official institution website |
Validated organization/domain for prior-year historical reference named on the official conference site. |
High |
| IEEE Xplore |
Official platform |
Validated publication ecosystem referenced by the official event website. |
High |
| Journal of Image and Graphics (JOIG) |
Official journal website |
Validated publication option cited on the official event website. |
High |