Hoseo University, Department of Computer Engineering
An academic foundation for designing and building products based on AI and data.
THE PERSON BEHIND SPORTIQUE
SeungHun Lee · Founder, CEO & CTO
BUILD. CONNECT. CARE.SELECTED AWARDS

PRODUCT × TECHNOLOGY
Leads SportiQue’s product direction, app, server and AI development, and institutional partnerships. Connects UniQdata.io, UniQLab.io and Bodab to health-data experiences for their respective users and settings.
daniel@sportique.bizEDUCATION / RESEARCH / EXPERIENCE
The founder's education, qualifications, paper presentations and project participation.
An academic foundation for designing and building products based on AI and data.
Continues Venture Frontier activities, documenting UniQdata.io product development, business planning and external activities in monthly reports.
Reviewed customer problems, early sales and the startup process with mentors, and refined introductions and pitch materials to explain personal health-record products to an international audience.
The team began preparing its application in April before incorporation and was selected for the Mongolia team in May. It joined the Ulaanbaatar field programme on July 27–31 and discussed the scope of follow-up pilots using health and exercise records with institutions.
Explained the product to US founder and investor communities, and received feedback on validating customer problems and paid pilots.
After selection, carried out product development, business planning and external activities, documenting them in monthly reports and actual deliverables.
Attended and completed the Peking University Entrepreneurship Training Camp on February 3–5.
Completed business-model development, business-plan writing and investor pitch support, refining SportiQue's problem definition and business introduction.
Gained hands-on experience in local activity planning, participant recruitment, applications and participation operations.
Worked on AI, communications and app development connecting an autonomous home-care robot with a caregiver app in digital home-care and AI medical assistant projects.
Practised SDG-based problem definition and English pitching, broadening our perspective on AI healthcare and social problems.
Studied ethics, consent and researcher responsibilities for human research and studies involving data and specimens.
Completed an interdisciplinary course connecting blockchain technology with real service architectures.
Completed a three-day, 22.5-hour course covering Advanced Packaging, HBM and semiconductor AI technologies.
Completed a 21-hour course on blockchain security, data integrity and the security of distributed-ledger services.
Studied display fundamentals and photolithography, and completed hands-on LC cell fabrication.
AI development skills for applying health-record summaries, question generation and RAG workflows to products.
Selected for Venture Frontier, carried out entrepreneurship activities and received activity certification.
Presented IoT-based Automated Theft Detection in Vehicles as first author and evaluated a real-time detection architecture using YOLO, MediaPipe and IoT sensors.
A regional AI education course covering the social use of AI and practical applications.
Broadened a combined product and technology perspective through international software education.
Earned a formal qualification in the fundamentals needed to build AI-based products.
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