Kasthuri Jayarajah

Kasthuri Jayarajah is an Assistant Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). Her research focuses on mobile and ubiquitous sensing, deep learning for IoT/edge computing, mobility-driven urban analytics, and predictive cyber-physical systems. She holds a Ph.D. in Information Systems from Singapore Management University (2019), a Master of Computing from National University of Singapore (2013), and a B.S. in Electronic and Telecommunication Engineering from the University of Moratuwa (2010).

Her work integrates wearable sensing technologies, machine learning, and collaborative systems to solve challenges in urban environments and human-technology interactions. Key research areas include cognitive load assessment via multimodal features, gaze-based AR systems, and lightweight collaborative intelligence frameworks for autonomous systems. She has developed frameworks like CALM for cognitive load measurement and GazeLight for AR-mediated human-robot systems.

Dr. Jayarajah's research spans theoretical advancements (e.g., β-Decode for temporal artifact correction) and practical applications (e.g., AirDrop for air-ground teaming in navigation). Her contributions address edge computing constraints, adversarial IoT environments, and urban mobility analytics for smart cities. She teaches courses in mobile computing and sensor networks, bridging academic research with hands-on technical training.

Leveraging interdisciplinary approaches, her work bridges computer science with urban planning, robotics, and human factors. Her lab explores innovations in wearable-assisted human-robot teams (TagTeam), lightweight vision models (ComAI), and mobility-driven predictive systems for urban operations.