Lead Data Scientist & AI Researcher
Toch Ensophea
Dynamic leader in Data Science & Artificial Intelligence — bridging academic excellence and real-world AI innovation across Asia Pacific.
Dynamic leader in Data Science & Artificial Intelligence — bridging academic excellence and real-world AI innovation across Asia Pacific.
I am Ensophea Toch, an AI and Data Science professional from Cambodia specializing in Artificial Intelligence, Machine Learning, and Digital Transformation. I am passionate about leveraging technology and innovation to solve real-world challenges in finance, sustainability, energy, and smart systems. With experience in enterprise AI solutions, research, and data-driven innovation, I actively contribute to projects that promote digital transformation and intelligent decision-making. I am also an award-winning researcher, speaker, and emerging leader dedicated to advancing impactful AI solutions and sustainable technological development across Cambodia and the Asia Pacific region.
Floods threaten communities, livelihoods, food security, and infrastructure in Cambodia. Although digital monitoring and forecasting technologies create opportunities for earlier intervention, effective disaster prevention requires more than accurate predictions. It depends on reliable data, interagency coordination, public trust, accessible communication, and the capacity to act on warnings.
SafeChamnun combines IoT monitoring, satellite imagery, hydrological information, weather forecasts, and machine learning to support flood-risk prediction and early warning.
How can Cambodia integrate AI-driven forecasting into public disaster-management institutions while ensuring that warnings are reliable, understandable, equitable, and actionable?
Establish a public governance framework that integrates existing forecasting infrastructure with AI-assisted risk assessment, human-validated warnings, clearly assigned institutional responsibilities, community-centred communication, and sustainable financing.
Earlier preparedness, improved coordination, more equitable access to warnings, stronger institutional accountability, and reduced exposure to avoidable flood losses.
The success of AI-driven disaster governance should not be measured by predictive accuracy alone. It should be measured by whether public institutions convert reliable information into timely, accountable, and inclusive action that protects people's lives and livelihoods.
Developed the Cross-Border Hydro Synergy (CBHS) framework to promote sustainable and cooperative hydropower development across Southeast Asia, integrating AI-enabled Hydro-Digital Twins, regional sustainability standards, cross-border power exchange zones, and green financing to strengthen energy security, climate resilience, transboundary coordination, and ASEAN's clean energy transition.
Authored "Artificial Intelligence for Peace," a policy essay on how ethical AI governance, digital literacy, youth empowerment, and regional cooperation can build resilience against online violent radicalisation in ASEAN. Proposed multilingual AI moderation, youth-led counter-narratives, transparency standards, human-rights safeguards, and an ASEAN AI-PVE Working Group to promote safer and more inclusive digital communities.
AI-based flood monitoring and early warning system using IoT, satellite imagery, and machine learning for real-time flood prediction in the Mekong River Basin.
Multilingual NLP chatbot promoting financial literacy through personalized budgeting in Khmer and English. AI-driven FinTech solution with a scalable B2B2C model.
BinBrain is a Smart trash bin using ultrasonic, weight, and image sensors to optimize waste management routes with a mobile app for real-time overflow alerts.
Immersive tourism platform addressing language barriers and cultural discovery in Cambodia. Targeting 70,000 users by 2026, regional expansion by 2027.
LSTM-based predictive maintenance for battery Remaining Useful Life (RUL). LSTM models outperformed traditional ML across RMSE, MAE, and R² metrics.
Clean water initiative using rainwater harvesting and biological sand filtration. Community training on water hygiene aligned with SDG 6 & 13.
Toch, E., & Long, P. (2026). Signrify: An End-to-End Deep Learning System for Automated Signature Detection and Verification in Document Images.
ieeexplore.ieee.org
Long, P., Toch, E., & Khean, V. (2026). Deep Learning-Based Solar Power Generation Prediction Through Multi-Head Attention.
ieeexplore.ieee.org
Toch, E., Chhit, H., & Long, P. (2025). A Study on Factors Influencing and Machine Learning Models for Renewable Energy Consumption Forecasting.
doi.org/10.1088/…/012016
Toch, E., & Long, P. (2025). The Investigation on Factors Influencing Energy Efficiency in ASEAN (P. 40).
go.aseanenergy.org
Toch, E., & Long, P. (2025). AI-Driven Energy Management Systems for Urban Low-Income Housing.
go.aseanenergy.org
Long, P., Chhit, H., & Toch, E. (2024). AI-driven Predictive Maintenance for Batteries RUL.
storage.googleapis.com
Toch, E., Long, P., & Samok, P. (2024). Reimagining Domestic Life: Potential of IoT in Cambodia's Connected Homes.
cdn.misti.gov.kh
Toch, E., Long, P., & Samok, P. (2024). Exploring in Robotic Automation & Impact on Manufacturing Processes.
cdn.misti.gov.kh
Toch, E., & Long, P. (2025). A Review on DL Algorithms for Hand Gesture Recognition in Higher Education.
cdn.misti.gov.kh
Contact me for research collaboration, speaking engagements, or AI and data science opportunities across Asia Pacific.