Description
Modern sensor platforms operate in environments where real-time data must be captured, processed, and synchronized across distributed systems without interruption or loss. Advanced concurrency models, intelligent buffering strategies, and web-synchronization mechanisms ensure zero-loss data streams in applications like industrial IoT, autonomous systems, healthcare monitoring, and smart infrastructure. Modern sensor architectures maintain high throughput, reliability, and scalability under heavy workloads or unstable network conditions. This integration of concurrency and synchronization technologies enables sensor platforms to deliver continuous, accurate, and resilient data flow for real-time analytics and decision-making.
Advanced Concurrency, Buffering, and Web-Sync in Sensor Platforms: Zero-Loss Streams explores concurrent data handling in resource-constrained environments. It builds on practical, real-world sensor platforms and robotic coordination scenarios to design zero-loss data pipelines, robust buffer management, and safe inter-thread coordination. This book covers topics such as robotics, web programming, and computer science, and is a useful resource for computer engineers and scientists, academicians, and researchers.
Author's/Editor's Biography
Aquil Mirza Mohammed (Ed.)
Dr. Mohammed Aquil Mirza is a senior member of IEEE, a researcher and educator specializing in AI, AIoT, robotics, sensor networks, and medical imaging. Since 2025, he has been Dean and Professor at Liaoning Technical University, China. Previously, he was a Senior Lecturer at PolyU from 2023, teaching courses like Programming Fundamentals and AIoT, with high student feedback. Between 2021 and 2023, he led projects on wall-climbing robots, autonomous drones, and smart monitoring systems. He began his career with research roles at IIT Delhi and BITS Pilani. He holds a Ph.D. in Computing from PolyU, with master’s degrees from KAUST and IIIT-Hyderabad. His research has been funded by major grants, and his work has earned awards such as the IEEE Best Student Paper (2025). With a strong academic background and innovative research, he continues to advance the fields of intelligent systems and robotics, inspiring future engineers