AI Conference, 8-9 August 2025, Spice Arena, Penang
Business Forum: AI Impacts on Oil and Gas Technology Advancement, 28 June 2025, Grand Ballroom, ITCC, Penampang, Sabah
Applied Informatics International Webinar Series 1 2025
2025 IEEE REGION 10 Conference, SICC, Kota Kinabalu, Sabah, Malaysia
Forum Intergriti dan Kecekapan Dalam Era Digital 2025, Kota Kinabalu, Sabah, Malaysia
Innovative AI Solutions
Exploring creative applications of AI to enhance industries through advanced machine intelligence research.
Artificial Intelligence in Smart Agriculture
Artificial Intelligence revolutionizes agriculture through precision farming, predictive analytics, automation, and enhanced resource efficiency
Artificial Intelligence in Healthcare
Leveraging AI technologies to address complex healthcare challenges and improve patient outcomes through innovative solutions.
Innovative Projects
Exploring AI's potential in creative applications and problem-solving.
AquaSense
Smart storage systems for monitoring water quality utilize AI, IoT, and edge computing to continuously track key parameters like temperature, pH, turbidity, and dissolved oxygen. These technologies enable real-time insights, predictive analytics, and automated adjustments to maintain optimal conditions. IoT ensures seamless data sharing across devices, while edge computing processes data locally for faster decisions, even in remote areas. Together, these innovations boost efficiency, sustainability, and reduce wastage in agrofood storage.
i-SISDA
i-SISDA: Intelligent Surveillances and Intervention on Supply and Demand of Agrofood uses AI, IoT, and data analytics to monitor and manage agrofood supply chains. It tracks production and demand, predicts shortages or surpluses, and automates decision-making to improve efficiency, reduce waste, and ensure food security.
Smart Sabah Cattle
Smart Sabah Cattle: The "Sabah Smart Cattle" project Focuses on estimating the live weight of cattle using a deep learning approach. This innovative system aims to replace traditional weighing methods, which are labor-intensive and time-consuming, with a more efficient solution. By utilizing high-resolution images and a convolutional neural network (CNN), the system can estimate the physical weight of cattle based on extracted features. This approach not only saves time but also reduces stress on the animals.
RTFaceDeep
RTFaceDeep is a real-time facial recognition system for video surveillance, using deep learning to identify multiple faces instantly, even in challenging conditions. Developed with cybersecurity measures, it ensures secure data handling and is ideal for public safety, access control, and anomaly detection.
Get in Touch with Us
Reach out for inquiries about our AI research and collaborations.
