Daniel DSouza

Papers

Total Citations

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About

Daniel DSouza is a researcher at the forefront of intelligent distributed systems, with key contributions spanning the Internet of Robotic Things (IoRT), wireless sensor networks, and environment monitoring. His most impactful work introduces a novel Graph Convolutional Network-based scheduler for distributing computation in the IoRT, addressing the critical challenge of scheduling complex applications on rapidly changing network topologies—a problem that existing solutions fail to solve. This paper has garnered 9 citations, reflecting its significance in advancing real-time, adaptive computation in dynamic IoT environments. Additionally, DSouza has contributed a comprehensive survey on environment monitoring using sensor networks, which explores the capabilities of Robotic and Wireless Sensor Networks in measuring parameters like temperature and humidity for diverse environmental applications. This work, with 4 citations, serves as a valuable resource for researchers and practitioners in the field. Through his innovative approach to scheduling and his synthesis of sensor network applications, DSouza is shaping the future of autonomous, distributed systems that operate reliably in unpredictable conditions.