Advanced Computing Group

The research group focuses on advancing computational methodologies across diverse domains, including Astronomy Computing, Computational Space Weather, Instrumentation Development, and the Internet of Things (IoT). By leveraging high-performance computing, data science, and machine learning, the group processes large-scale astronomical datasets, models space weather phenomena, and develops innovative instrumentation solutions. Additionally, its IoT research explores smart device integration, cybersecurity, and AI-driven automation. Through interdisciplinary collaboration and technological innovation, the group aims to contribute to scientific discovery and the development of cutting-edge solutions for real-world challenges.

Areas of Interest


Astronomy Computing

Astronomy computing, also known as computational astronomy, is the application of computer science, data science, and high-performance computing to solve problems in astronomy and astrophysics. It involves processing and analyzing vast amounts of astronomical data, running complex simulations, and using machine learning techniques to discover new celestial objects and phenomena.

Computational Space Weather

Computational Space Weather is a field that focuses on using computational methods, simulations, and models to study and predict space weather phenomena. Space weather refers to the dynamic conditions in the Earth’s space environment, primarily influenced by the Sun’s activity, such as solar flares, coronal mass ejections (CMEs), and geomagnetic storms.

Instrumentation

Instrumentation development involves designing and implementing tools and techniques to monitor, measure, and analyze the performance, behavior, and operation of systems, enabling optimization, debugging, and research across various domains.

Internet of Things (IoT)

IoT research explores the development, implementation, and impact of interconnected smart devices that collect, process, and exchange data over networks. It encompasses various domains, including sensor technologies, communication protocols, edge computing, cybersecurity, artificial intelligence (AI) integration, and scalability solutions. Researchers focus on enhancing efficiency, security, and interoperability while addressing challenges such as data privacy, energy  consumption, and network reliability. IoT research drives advancements in smart cities, healthcare, industrial automation, agriculture, and environmental monitoring, aiming to create more intelligent, responsive, and autonomous systems that improve everyday life and business operations.


Members