Papers
13
Total Citations
597
H-Index
11
About
Anand Nayyar is a prolific researcher whose work spans the intersecting frontiers of the Internet of Things (IoT), robotics, artificial intelligence, and embedded systems. He has made particularly significant contributions to the emerging field of the Internet of Robotic Things, with his 2018 conceptual framework on intelligent robotics architectures garnering over 140 citations and establishing a foundational reference for researchers worldwide. His explorations of Brain-Computer Interfaces for humanoid control, cited over 90 times, demonstrate a deep commitment to assistive technologies for individuals with motor disabilities. Nayyar has also shaped the maker and prototyping community through widely read reviews of open-source hardware platforms such as Arduino and BeagleBone, making embedded systems knowledge accessible to students and engineers alike. His research extends into swarm intelligence, robot path planning using bio-inspired algorithms, and energy-efficient multi-robot communication protocols, reflecting a consistent drive to optimize autonomous systems. With contributions to IoT environmental monitoring and LoRaWAN forest deployments, Nayyar bridges theoretical innovation with real-world application, accumulating hundreds of citations across a remarkably diverse and impactful body of work.
Research Focus
Key Achievements
Top Papers
- 1
- 2Brain-Computer Interface-Based Humanoid Control: A Review91 citations · 2020
- 3A review of Arduino board's, Lilypad's & Arduino shields72 citations · 2016
- 4Introduction to Swarm Intelligence64 citations · 2018
- 5
- 6Robot Path Planning Using Modified Artificial Bee Colony Algorithm36 citations · 2019
- 7
- 8
- 9Exploration of IoT Nodes Communication Using LoRaWAN in Forest Environment24 citations · 2022
- 10