Papers

2

Total Citations

58

H-Index

2

About

Arsalan Khan is a researcher at the forefront of intelligent automation, specializing in the Internet of Things (IoT), wireless sensor networks, and human-centric robotics. His work bridges the gap between autonomous systems and real-world applications, with a particular focus on agriculture and the future of work. Khan’s most cited paper, “IoT and Wireless Sensor Network based Autonomous Farming Robot” (2020, 49 citations), addresses critical challenges in remote agricultural monitoring by integrating IoT with wireless sensor networks to create dynamic, autonomous farming solutions. This foundational work demonstrates his ability to solve practical problems in precision agriculture. More recently, Khan has contributed to the “AI4Work Project” (2024, 9 citations), a pioneering initiative that leverages Digital Twin technology to develop trustworthy AI and robotics for improving working conditions in healthcare and education. This project highlights his shift toward human-centric design, ensuring that technological advancements prioritize safety, collaboration, and ethical considerations. By combining technical innovation with a focus on societal impact, Khan’s research is shaping the next generation of autonomous systems that are both efficient and human-aware.

Research Focus

Key Achievements

2
H-Index
2
Papers
58
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
IoT and Wireless Sensor Network based Autonomous Farming Robot
49 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: International Islamic University, Islamabad, Lappeenranta-Lahti University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago