Hi, I'm Sahan Hettiarachchi.

SPARK Challenge is an electronic design competition which is organized by Electronics and Telecommunication Engineering department, University of Moratuwa. The challenge aimed to provide solutions to solve global issues based on the SDGs proposed by the United Nations. Our team (Team Axon) supposed a Pediatric anesthesia monitoring device (CAMSAT) that is capable of monitoring pediatrics during surgeries. More than 100 teams were registered for the competition and ten teams among them were selected as the finalists. Our team (Team Axon) was able to get second place in the SPARK challenge - 21/22  See more...

The team (STIMULUS) represented by the University of Moratuwa won a FIRST PRIZE at the 3rd Regional Association of Energy and Power Universities (RAEP) Energy and Electricity Market Business Decision Simulation Competition 2021 organized by the Shanghai University of Electric Power (SUEP), Shanghai, China and the Batangas State University, Philippines. The competition was held online this year. Opening ceremony of the competition was held on 7th September 2021. The completion had several rounds. See more...

PMDD is a cost-effective wearable mass patient surveillance system that has a unique potential to monitor patients while being at a safe distance from the patients hence, minimize the exposure risk of healthcare workers to the virus. Our team thoroughly believe that this user-friendly system will be a game-changer in the mass monitoring of patients in pandemics or outbreaks, especially in resource-constraint environments. Our future project development plans are ongoing now.  See more...

Our research project is based on neural networks to efficiently search the neural markers of anomalous craniofacial processing for the early detection and diagnosis of ASD (Autism Spectrum Disorder). We are developing machine-learning algorithm based on neural networks to achieve expected results and a mobile application for visualizing and publishing purposes.  See more...

The global pandemic of COVID-19 has severely affected multifaceted streams of the world as an unavoidable challenge. Though it is apparent to observe that the regional communities implement several inclusive processes to overcome this obvious threat, the absolute need for addressing cognitive decisions will not be cohesively satisfied as a direct result of the complex matrix of SARS-CoV-2 in the pandemic format. In this paper, we propose a system for analyzing the Characteristics of Epidemiological Curve in COVID-19 by utilizing a Statistical Prediction which is developed conferring SIS-SIR model, Dirichlet process model and the Interpretive Structural Model.  See more...

Team Phantom became the International Audience Award Winner and the National Overall Winner at the ActInSpace 2020, initiated by the National Centre for Space Studies in France along with the European Space Agency. ActInSpace is an international space entrepreneurial innovation contest that is bi-annually organized in over 100 cities on 5 continents.  See more...

Our team developed a machine-learning algorithm based on neural networks to efficiently detect and predict defined air quality parameters using satellite remote sensing image data, with the primary motivation of helping individuals, communities, and necessary authorities to take action at their levels. Output visualization is implemented using a GUI and a mobile application. See more...

Our team has developed an IoT-based Patient monitoring system that can monitor a large number of patients. The system consists of an individual wearable device per patient which builds up a network consisting of several devices, the database, the mobile, and web applications. The wearable device is specialized in taking real-time patients’ data and visualizing output through the web application and mobile application. See more...