Tech & Business Innovation
Bridging deep-tech research with real-world business strategy.
Exploring AI, clean energy, space systems, and data analytics.
🏆 GOLD MEDAL @ EUROINVENT 2025 (Iași, Romania)
AI-Driven Predictive Modeling
& Medication Support for Suicide Prevention

1. Award & Recognition
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Event: 2025 Euroinvent (European Exhibition of Creativity and Innovation)
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Honor: GOLD MEDAL
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Location & Date: Iași, Romania / May 2025
2. Paper & Research Summary
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Research Topic: AI Deep-Tech Healthcare Model for High-Risk Patient Prediction & Medication Adherence.
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Problem Statement: Existing psychiatric systems face challenges in early suicide risk detection and low patient adherence to prescribed medication protocols.
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Methodology: Developed an AI predictive algorithm analyzing patient biological and behavioral data patterns, integrated with a modular healthcare tracking system to monitor real-time medication intake.
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Key Conclusion: Demonstrated that quantitative, data-driven AI monitoring significantly reduces observation gaps for high-risk patients and improves medical adherence and prevention rates.
3. Market & Business Impact
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Establishes B2B/B2G pipelines for Digital Therapeutics (DTx).
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Validates SaaS subscription models for hospitals and psychiatric centers with potential medical insurance coverage.
🏆 GOLD AWARD @ WICO 2025 (Seoul, Korea)
Experimental Efficiency Analysis of Hydrogen Fuel Cell
vs. Electric Vehicles

1. Award & Recognition:
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Event: 2025 WICO (World Invention Creativity Olympics)
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Honor: GOLD AWARD
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Location & Date: Seoul, South Korea / July 2025
2. Paper & Research Summary:
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Research Topic: Quantitative Energy Efficiency Comparison of Next-Gen Mobility (EV vs. FCEV)
via Small Model Car Experiments. -
Problem Statement: Lack of objective, empirical comparative data regarding real-world energy
conversion efficiency between Battery Electric Vehicles (EV) and Hydrogen Fuel Cell Vehicles (FCEV). -
Methodology: Built identical small-scale vehicle testing platforms to measure power loss during energy conversion, power consumption per distance, and cell load variation under controlled conditions.
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Key Conclusion: Proved that while Battery EVs excel in short-distance urban driving, Hydrogen Fuel Cells (FCEV) offer superior energy density and conversion efficiency under high-load, long-distance environments.
3. Market & Business Impact:
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Evaluates commercial feasibility for hydrogen infrastructure in heavy-duty logistics (trucks, buses, aviation).
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Provides data-driven insights for B2G policy decision-making in global hydrogen value chains.
🏆 GOLD MEDAL @ iCAN 2025 (Toronto, Canada)
Electromagnetic Processing System
for Space Debris Mitigation
1. Award & Recognition:
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Event: 2025 iCAN (International Invention Innovation Competition in Canada)
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Honor: GOLD MEDAL
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Location & Date: Toronto, Canada / August 2025
2. Paper & Research Summary:
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Research Topic: Electromagnetic Induction and Lorentz Force-Based Space Debris Capture System to Prevent Kessler Syndrome.
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Problem Statement: Catastrophic threats posed to satellites by high-velocity orbital debris in LEO, and the physical limitations of mechanical capture methods (nets/robotic arms).
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Methodology: Designed a non-contact orbit alteration mechanism leveraging Electromagnetic Induction and Lorentz Force to decelerate and redirect hyper-velocity orbital fragments.
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Key Conclusion: Verified the physical feasibility of safely de-orbiting high-speed debris into the upper atmosphere for thermal disposal without risking direct collision.
3. Market & Business Impact:
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Unlocks B2B orbital cleanup services for satellite operators in the New Space economy.
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Introduces ESG-aligned space environmental solutions to reduce liability and insurance losses in space commercialization.

🏆 GOLD AWARD @ AI-JAM ASIA 2025
Advanced Data Analytics
& Sabermetrics in Sports

1. Award & Recognition:
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Event: AI-JAM ASIA Online Competition
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Honor: GOLD AWARD
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Location & Date: Silicon Valley, USA / August 31st, 2025
2. Research & Project Summary:
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Project Topic: Analyzing Performance Using Advanced Data Analytics in Sports.
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Problem Statement: Traditional qualitative sports evaluations often fail to capture complex player efficiency and game dynamics under high-stress conditions.
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Methodology: Applied advanced data analytics and sabermetric statistical modeling to evaluate player metrics, predict outcome probabilities, and optimize tactical decision-making in competitive sports.
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Key Conclusion: Demonstrated that data-driven predictive models significantly outperform traditional metrics in forecasting athletic performance and team strategy optimization.
3. Market & Business Impact:
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Unlocks B2B Sports Tech analytics opportunities for professional leagues, sports management agencies, and sports betting platforms.
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Connects advanced data analytics directly with commercial sports media and performance consulting services.