Indika Perera

Papers

Total Citations

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About

Indika Perera is a leading researcher at the intersection of intelligent systems, healthcare technology, and software engineering. His most impactful work addresses critical societal challenges, particularly through the development of a fall detection and emergency notification system for the elderly—his most cited paper with 20 citations. This system directly tackles the growing vulnerability of aging populations who prefer independent living, using sensor-based monitoring to detect falls and unconsciousness, thereby enabling rapid emergency response. Perera’s contributions extend to the emerging field of robotic process automation (RPA), where he developed RPAEstiMate, an effort estimation model for RPA transformation projects. This model provides a structured framework for calculating the work required in automation initiatives, helping project teams improve efficiency and predictability. His research demonstrates a consistent focus on applying computational methods to real-world problems, from enhancing elder safety to optimizing business automation. Perera’s work is characterized by its practical impact, bridging the gap between theoretical models and deployable solutions that improve quality of life and operational effectiveness.