Papers

2

Total Citations

15

H-Index

2

About

Amitava Ghosh’s research career spans two distinct yet equally impactful frontiers: defense systems engineering and next-generation wireless communications for agriculture. His early work established foundational neural network models for predicting artillery rocket trajectories, addressing critical problems in range estimation and firing angle optimization under variable ambient conditions. This 2004 paper, with 9 citations, demonstrates his pioneering application of machine learning to complex ballistic challenges. More recently, Ghosh has emerged as a visionary in 6G vertical markets, specifically through his 2025 work on Ambient IoT (A-IoT) for precision agriculture. This highly cited paper (6 citations) proposes a transformative network of energy-harvesting devices that integrate communications, sensing, and control to improve agricultural outputs while reducing environmental impact. By bridging advanced neural modeling with sustainable IoT ecosystems, Ghosh’s contributions show remarkable breadth—from optimizing rocket performance to enabling smart farming. His trajectory reflects a career dedicated to solving real-world problems at the intersection of computation, communication, and physical systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Neural Models for Predicting Trajectory Performance of an Artillery Rocket
9 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Indian Institute of Technology Kanpur, Nokia (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago