Research interests.
Interdisciplinary work across intelligent computing, connected technologies and data-driven applications.
Artificial Intelligence & Machine Learning
Data-driven modelling, intelligent decision support, predictive analytics and computational approaches to applied problems.
Intelligent computingInternet of Things
Connected sensing, embedded systems, real-time monitoring and integrated IoT applications across practical domains.
Connected systemsComputational Intelligence
Optimization, adaptive computational methods and intelligent approaches for complex and resource-constrained environments.
Adaptive methodsRemote Sensing & Precision Agriculture
Multispectral data analysis, environmental intelligence and machine learning for agricultural and geospatial applications.
Applied AIAutonomous & Drone Technologies
UAV systems, aerial platforms, sensing and technology-led solutions for real-world use cases.
Robotics & UAVsIntelligent Systems
Interdisciplinary integration of algorithms, software and connected devices to support reliable applications.
Systems researchDetails of ongoing doctoral research are intentionally limited here. This profile highlights broad research interests and completed, publicly documented scholarly contributions.