SCOPE KOREA 2026
4-8 FEBUARY 2026
GEN 02 · FEBUARY 2026
THAILAND × SOUTH KOREA
Presentation Archive
SCOPE KOREA Student Innovation Showcase
Past Presenters & Academic Projects
GEN 02 · FEBUARY 2026 THAILAND × SOUTH KOREA
การประชุมวิชาการนักเรียนว่าด้วยการนำเสนอผลงาน นวัตกรรม และการประเมินผล (ไทย-เกาหลีใต้) ปี 2025 - 2026
발표, 혁신 및 평가에 관한 학생 학술대회 (스코프 코리아 2025 - 2026)
รวบรวมผลงานของนักเรียนที่ได้รับคัดเลือกให้นำเสนอผลงานทางวิชาการและนวัตกรรมในโครงการ SCOPE KOREA
กรรมการผู้ทรงคุณวุฒิและคณาจารย์มหาวิทยาลัยชั้นนำ
ศาสตราจารย์ ดร. ควอน-ยูล รยู
อดีตรองคณบดีคณะวิทยาศาสตร์ชีวภาพ และอดีตหัวหน้าภาควิชาวิทยาศาสตร์ชีวภาพ มหาวิทยาลัยโซล (University of Seoul, South Korea)
ผู้เชี่ยวชาญด้านชีวเคมี (Biochemistry) และวิทยาศาสตร์ประสาท (Neuroscience) มีผลงานวิจัยตีพิมพ์มากกว่า 20 ปี
ในวารสารชั้นนำระดับโลก
ศาสตราจารย์ นพ. ดร. บอมโจ โอ
ภาควิชาเวชศาสตร์ มหาวิทยาลัยแห่งชาติโซล
(Seoul National University, สาธารณรัฐเกาหลี)
ผู้ทรงคุณวุฒิและอาจารย์แพทย์ โรงพยาบาล SMG-SNU Boramae Medical Center สาธารณรัฐเกาหลี มีผลงานวิจัยตีพิมพ์มากมาย
ในวารสารชั้นนำระดับโลก
ผู้ช่วยศาสตราจารย์ ดร. ฮงอิก ฮวาง
ภาควิชาวิทยาศาสตร์ชีวภาพ มหาวิทยาลัยโซล (University of Seoul, South Korea)
ผู้เชี่ยวชาญวิศวกรรมศาสตร์และด้านประสาทวิทยาศาสตร์ (Neuroscience)
การทำงานของสมอง ระบบการเรียนรู้ ความจำ และความผิดปกติทางจิตเวช จบปริญญาเอกจาก
Massachusetts Institute of Technology (MIT, USA) มีผลงานวิจัยตีพิมพ์มากมายในวารสารชั้นนำระดับโลก
รองศาสตราจารย์ ดร. จงชาน คิม
ภาควิชาวิทยาศาสตร์ชีวภาพ มหาวิทยาลัยโซกัง (Sogang University, South Korea)
ผู้เชี่ยวชาญด้านมะเร็งวิทยา (Cancer Biology) มะเร็งต่อมลูกหมาก กลไกการเกิดเนื้องอก และงานวิจัย non-coding RNA มีผลงานวิจัยร่วมกับศูนย์มะเร็งชั้นนำของโลก อาทิ MD Anderson Cancer Center (USA) สถาบันมะเร็งอันดับ 2 ของโลก
SCOPE KOREA 2026 4-8 FEBUARY 2026
GEN 02 · FEBUARY 2026
THAILAND × SOUTH KOREA
Presentation Archive
Discover student innovations, academic ideas, and presentations from previous generations of SCOPE KOREA. สำรวจผลงาน แนวคิด และการนำเสนอทางวิชาการของนักเรียนไทยจาก SCOPE KOREA รุ่นที่ผ่านมา
ณ ศูนย์ประชุมและการจัดนิทรรศการโคเอ็กซ์ กรุงโซล สาธารณรัฐเกาหลี เมื่อวันเสาร์ที่ 7 กุมภาพันธ์ 2569
Effects of caffeine on reaction time are mediated by attentional rather than motor processes
- Caffeine is widely consumed for its ability to stimulate the central nervous system, increase alertness, and reduce fatigue. While it is known to reduce human reaction time, the specific underlying brain mechanisms—whether it accelerates attentional/perceptual processes or motor processes—remain unclear. This study utilizes P3b brain-wave components from event-related potentials (ERPs) to investigate these mechanisms
To identify the specific processes through which caffeine reduces reaction time (RT).
To test the role of P3b latency as a mediator in this effect.
To compare different types of P3b latencies.
To advance research methodologies in temporal neuroscience (mental chronometry)
The study concludes that caffeine reduces reaction time primarily by enhancing perceptual and attentional processes, with stimulus-locked P3b latency serving as a key mediator. The motor processes contribute significantly less to this effect. The mediation framework employed here provides a valuable approach for future psychopharmacological research, offering more precise insights than traditional averaged ERP methods
Development of a Smart Cane for posture monitoring to improve elderly safety
- With rapid technological advancement, applying innovation to improve the quality of life for elderly people has become increasingly important. Many elderly individuals experience mobility problems, poor balance, and back pain caused by improper walking posture, which significantly increases the risk of falls and long-term musculoskeletal issues. Although traditional walking canes provide physical support, they cannot detect incorrect posture or warn users in real time. This project integrates sensor technology with a conventional walking cane, using an angle sensor and a microcontroller to detect posture changes and provide immediate alerts when unsafe posture is identified
To help elderly users walk more steadily and maintain proper posture.
To detect and alert users when incorrect or stooped posture occurs.
To reduce the risk of falls and long-term back pain.
To develop a user-friendly and cost-effective assistive device for elderly individuals
The smart cane developed in this project demonstrates the effective integration of sensor technology into a traditional walking aid. By monitoring posture and providing real-time alerts, the system helps elderly users maintain proper walking posture and improve stability. The expected impact includes reduced back pain, fewer falls, increased confidence during walking, safer mobility, greater independence, and an improved quality of life for elderly individuals
Biopatch from Banana Peel, Green Papaya, and Tapioca Starch Containing Antifungal Phytochemicals against Trichophyton rubrum and Candida albicans
- Fungal skin infections caused by Trichophyton rubrum and Candida albicans are highly prevalent in tropical regions like Thailand, while conventional treatments often face limitations such as skin irritation, low patient compliance, and antifungal resistance. To address these challenges, this project proposes an eco-friendly biopatch synthesized from agricultural waste (banana peel, green papaya, and tapioca starch) designed as a biopolymer-based drug delivery system for the controlled release of garlic-derived Allicin
To design and synthesize an antifungal biopath derived from agricultural waste integrated with garlic extract.
To evaluate the potential antifungal activity against Trichophyton rubrum and Candida albicans and analyze physical properties and drug release efficiency.
To enhance the value of agricultural waste by proposing a sustainable and safer alternative for treating fungal skin infections
The proposed biopatch is expected to exhibit strong antifungal potential, offering a safer and more sustainable alternative for dermatological applications. By integrating natural biopolymers with phytochemical-based drug delivery systems, the project highlights the potential of agricultural waste to be repurposed into high-value medical innovations. Ultimately, it aims to reduce reliance on synthetic chemicals, promote eco-friendly materials, and support future advancements in public health and environmental sustainability
AI-Powered Brainwave Monitoring and Emergency Alert system for Personalized Cognitive Health (GBN)
- The Global Brainwave Network uses a non-invasive headband for continuous, AI-driven brain health monitoring to provide early alerts and aggregate data for preventive care and global brain science advancement. The project develops a non-invasive headband system that monitors brain activity, transmits data to the cloud for AI-based analysis, and detects abnormal signals early to enable proactive brain health management and reduce the risk of neurological disorders
Detects abnormal brain signals in advance, reducing the risk of severe complications.
Supports continuous and personalized brain health management.
Promotes research and innovation in brain health.
Establishes a new standard for using technology to enhance quality of life
The Global Brainwave Network enables real-time brainwave detection and visualization, providing users with an intuitive interface to view their stress and focus levels. This system establishes a new standard for preventive brain healthcare, empowering individuals and contributing to global neurological research
Aventhera™ : Triple action Eczema patch supported by Oat derives
- Eczema causes chronic itch due to skin barrier damage and nerve sensitivity. To address limitations of existing treatments, Aventhera™ uses oat-derived anti-itch actives delivered directly into the skin using biodegradable microneedles combined with textured silicone micro-cones at the top layer to reduce friction and discourage scratching
Break itch-scratch cycle to reduce flare severity.
Deliver soothing oat actives directly to affected skin.
Strengthen skin barrier and calming itch nerves.
Improve daily comfort and quality life.
Reduce reliance on topical treatment.
Provide a safe, non-invasive option
Aventhera™ introduces a triple-action approach to eczema itch relief which combines oat-based microneedle therapy, surface soothing, and an anti-itch layer. Aventhera™ aims to reduce the itch-scratch cycle and support skin barrier recovery which is expected to improve daily comfort, sleep quality, and quality of life
Effects of caffeine on reaction time are mediated by attentional rather than motor processes
- Leukemia results from white blood cell production abnormalities leading to a weakened immune system. While the exact cause is unknown, risk factors include genetic disorders, environmental chemicals, chemotherapy, and age. With 1.1 million cases and 300,000 deaths per year, and a rising trend of 24%, hospital diagnostic sessions take about 2 hours per case (4–8 cases per day). To address this, Feemo—a Leukemia Screening Tool Using Blood Smear Imaging Artificial Intelligence—was developed to deliver results in just 7 minutes
To provide fast screening for leukemia.
To increase screening accuracy for leukemia.
To make leukemia screening available anywhere
Experiments to determine which artificial intelligence system provides the fastest, most accurate, and precise image processing conclude that the AI YOLO v.8 and the OpenCV algorithm are effective models for screening leukemia
Effects of caffeine on reaction time are mediated by attentional rather than motor processes
- Thailand produces large amounts of agricultural residues from maize, rice, and sugarcane, which are mostly burned in the open-field, resulting in significant greenhouse gas emissions. This project proposes Hydrothermal Carbonisation (HTC) as a suitable pathway because it can process wet, heterogeneous biomass. The principle relies on transforming residues that would otherwise become pollution into a usable product, such as alternative fuel or a farming complement
To propose the application of HTC to recycle agricultural residues within Thailand.
To reduce GHG emission from open burning of agricultural residues.
To explore the potential uses of hydrochar within Thailand
Hydrothermal Carbonisation has strong potential as a pathway to reduce greenhouse gas emissions from agricultural residue burning in Thailand. By processing wet crop residues into hydrochar, HTC avoids emissions from open burning while turning organic carbon into a reusable form for energy or agricultural systems. If deployed efficiently, Thailand’s greenhouse gas emissions could be reduced effectively, improving air quality and promoting a circular bioeconomy within the agricultural sector
AEROGUARD OP: Real-time Biomimetic Air Monitoring for Organophosphate Detection
- Standard air purifiers lack the capability to selectively detect and neutralize neurotoxic organophosphates (OPs), and current systems do not support proactive medical prevention prior to clinical disease onset. To address this gap, AeroGuard OPs introduces a biomimetic AI-assisted air defense architecture that integrates AChE biosensing, graphene oxide quantum dots, and MIP-guided molecular recognition for early medical risk prevention
To develop a real-time air monitoring system for organophosphate exposure by integrating AChE-based biosensing with health risk assessment.
To enable proactive medical preventions prior to clinical disease onset
AeroGuard OPs creates a verifiable safety standard through autonomous sensing and destruction. Its expected impact prevents neurotoxic exposure, providing an intelligent shield for both workers and residents
A hexagonal mechanical device for oxygenating water sources and reducing odor
Rapid expansion in the private and industrial sectors has led to water pollution, which significantly impacts humans, aquatic animals, and aquatic plants.
Wastewater contains organic and inorganic substances that hinder photosynthesis and obstruct the diffusion of oxygen from the air into the water.
This affects the survival of aquatic life and humans, prompting the study and testing of various mechanical devices to replenish oxygen in water sources
To develop a mechanical oxygenation device capable of restoring oxygen levels in polluted and deteriorated water bodies.
To create an innovative solution for oxygenating inland water sources.
To treat wastewater in both small-scale and large-scale water bodies.
To reduce methane gas emissions, which contribute to global warming.
To address water pollution and unpleasant odors, thereby improving environmental conditions and enhancing the quality of life for communities and society.
To utilize solar panels to convert solar energy into electrical energy for oxygenation in water sources
The device consists of six equal sides, each 15 cm in length, with internal angles of 120 degrees, a distance of 50 cm between the hexagonal faces, and circular holes with a diameter of 0.5 cm providing a total water-contact surface area of 0.55 m² for oxygen exchange.
The system operates using solar energy, consisting of a 50 W, 17 V solar panel connected to a 12 VDC, 45 Ah battery via a charge controller, with power converted through a 1,000 W inverter to drive a 650 W submersible pump that draws wastewater from Phadung Krung Kasem Canal.
Three experimental trials were conducted under the supervision of scientists from the Department of Science Service, and the results confirm that the hexagonal mechanical aeration device effectively increases dissolved oxygen levels, reduces odor, and successfully improves wastewater quality in canal environments
AI-Powered Parkinson's Disease Assessment System Using EEG and Voice Analysis
As society enters an aging era, the number of patients with neurological diseases is continuously increasing.
There is a growing need for diagnostic tools that are more accurate than visual observation and can be used at home, especially because many elderly people lack caregivers or face difficulties in traveling to hospitals
Develop AI-powered system for PD assessment.
Integrate multiple data sources (EEG + Voice).
Classify severity levels (Class 0–6).
Provide real-time analysis with Thai language support.
Achieve >90% accuracy using ensemble learning
Successfully developed an AI-powered PD assessment system with 93.5% ensemble accuracy, real-time classification, and Thai language support.
Expected clinical impacts include earlier detection leading to better treatment outcomes.
Expected social impacts include accessible screening for underserved populations.
Expected economic and research impacts feature an 80% cost reduction versus traditional diagnosis and serving as an open tool for global PD studies
Blink Sync: EEG Enhanced Communication for Bedridden
Thailand officially entered an aging society since 2021, with projections indicating that by 2034 the nation will become a super-aged society in which over 20% of the population is elderly.
This demographic shift has led to a significant rise in the number of bedridden patients, creating an urgent need for effective communication systems between patients and caregivers or medical professionals.
Recent advancements in assistive communication technologies have enabled paralyzed or unconscious patients to communicate using body signals or brain activity, including Brain-Computer Interface (BCI) technology and eye-blink detection systems
This project, titled Blink Sync, integrates AI-based eye-blink recognition and EEG (Electroencephalogram) brainwave analysis to enhance real-time communication for bedridden patients.
The system translates eye and brain signals into meaningful communication through an intelligent decision-making process, aiming to improve patients’ quality of life and support evidence-based healthcare practices
In Education and Research: Promotes innovation in biomedical engineering and AI for healthcare, and encourages interdisciplinary collaboration in technology and healthcare innovation.
In Social and Community Development: Reduces inequality in healthcare access through affordable, locally developed technology, and aligns with Thailand’s long-term goal of sustainable healthcare for all
Medical incentives increment for Practitioners Has a Positive Influence on Enhancing Work Efficiency and Patient Satisfaction
Thailand’s public health system enables citizens to widely access basic healthcare services.
The country is entering an aging society and facing a rise in emerging diseases, placing increasing pressure on medical practitioners—especially in public hospitals—who must care for large numbers of patients within limited time.
High workload contributes to stress, fatigue, and burnout, ultimately lowering practitioners’ quality of life, while inappropriate wages and salary further disrupts work efficiency and patient satisfaction
To study the effect of increasing practitioners’ wages & salary on their work efficiency.
To study the effect of increasing physicians’ wages & salary on creating patient satisfaction
The study results can be really applied with the improvement of the public health system through more effective service
AI-Based Drowning Risk Detection System
Drowning is a serious danger in swimming pools and water facilities, where early signs of distress can be difficult to notice and delayed detection may result in severe injury or death.
This project uses AI and computer vision to analyze video automatically, employing a YOLOv8 model to detect people and analyze their movement over time to calculate a risk score for potential drowning
Develop an AI-based system for detecting potential drowning risk using video footage.
Provide visual risk levels (green, yellow, red) and an audio alert for high-risk situations
This project shows that AI and computer vision can be used to detect potential drowning risk from video footage.
The system analyzes human movement over time and provides early warnings to support safety monitoring.
With better hardware and further development, this approach could improve awareness and response in swimming pool environments
Oncobot: An AI-Assisted Intravascular Robot for Targeted Cancer Therapy
Conventional chemotherapy relies on systemic drug circulation, often resulting in low tumor specificity and significant damage to healthy tissue.
These limitations contribute to severe side effects and reduced treatment efficiency, while recent advances in artificial intelligence, biomedical engineering, and microrobotics enable new approaches to precision, minimally invasive cancer therapy.
OncoBot is a conceptual AI-assisted intravascular micro-robot designed to navigate blood vessels and deliver chemotherapy directly to tumor-associated vasculature
Propose and evaluate a feasible conceptual design for an AI-guided intravascular micro-robot.
Demonstrate how localized drug delivery could improve treatment precision and reduce systemic toxicity compared to conventional chemotherapy
OncoBot demonstrates the potential of AI-guided intravascular microrobots to enable clinically scalable, site-specific precision cancer therapy.
By transitioning treatment from broad systemic intervention to intelligent, localized, and minimally invasive delivery, this concept highlights a potential pathway toward safer and more effective cancer care
BIO.CORE: the next generation of adaptive bio-engineering incubator
- Mimics homeostasis using AI to continuously monitor and automatically adjust conditions for stable incubation
Apply homeostasis for automatic feedback control.
Maintain stable and responsive environments for hatching.
Simulate real biome conditions to improve educational and research accessibility
Translates biological theories into practical engineering solutions to enhance experimental reliability.
Combines real-time feedback with user-friendly design to support future bio-engineering and education
Music with binaural beats and its effects on reducing stress among teachers AT brightstart academy
Stress among teachers negatively affects well-being and work performance.
Relaxing music and alpha-range binaural beats modulate brain activity and are linked to stress reduction
- Determine whether relaxing music embedded with alpha-range binaural beats can reduce stress among teachers at Brightstart Academy, as measured by changes in EEG brainwave activity and self-reported stress levels
The study is expected to demonstrate that relaxing music with alpha-range binaural beats increases alpha brainwave activity and reduces stress levels.
Findings may provide evidence for a simple, low-cost, and non-invasive approach to support teacher well-being, improve emotional health, and promote healthier learning environments
Multimodal Bio-Signal Integration for Real-Time Neural Regulation and Trauma Recovery
Trauma and chronic stress keep the adolescent brain in a high-frequency “Beta wave” state, disrupting development, emotional growth, and sleep.
Using Neural Entrainment with rhythmic pulses can interrupt this cycle and promote long-term resilience
To engineer a non-invasive, AI-integrated, wearable device designed to detect and regulate acute stress signatures in real-time.
To achieve 90%+ accuracy in identifying “Level 3” panic states and provide immediate, youth-friendly relief via a closed-loop system of haptic and auditory regulation
The successful integration of an Ensemble Learning model with a closed-loop response system confirms that real-time neural regulation is a viable alternative to traditional treatment.
The expected impact is a transition from device-dependency to autonomous emotional resilience, offering youth a permanent, drug-free solution for managing psychological disorders
SCOPE KOREA 2026
4-8 FEBUARY 2026
GEN 02 · FEBUARY 2026
THAILAND × SOUTH KOREA
Presentation Archive
From presentation to recognition
> the next stage could be yours. <
จากการเตรียมผลงาน สู่การนำเสนอในต่างประเทศ และการได้รับการประเมินในเวทีนานาชาติ รุ่นต่อไปอาจเป็นคุณ