Papers

2

Total Citations

14

H-Index

2

About

Gitanjali R. Shinde is a forward-looking researcher at the intersection of artificial intelligence and cybersecurity, with a particular focus on neuro-symbolic AI and underwater sensor network security. Her most impactful work, "Neuro-Symbolic AI: A Future of Tomorrow" (2025), has already garnered 10 citations, signaling growing recognition of her vision for integrating neural learning with symbolic reasoning—a paradigm that promises more robust, explainable, and human-like AI systems. In this seminal paper, she articulates how combining deep learning's data-driven strengths with rule-based knowledge representation can overcome limitations in current AI, paving the way for applications in reasoning, planning, and decision-making. Earlier, Shinde contributed to cybersecurity with "Threats and Attacks in UWSN" (2021), which examines vulnerabilities in underwater wireless sensor networks—a critical area for marine monitoring and defense. Her work demonstrates a keen ability to identify emerging challenges and propose forward-looking solutions. As a researcher, Shinde is positioned at the forefront of next-generation AI, bridging symbolic and neural approaches to create more intelligent, trustworthy systems. Her growing citation record and innovative focus make her a rising voice in both AI and network security communities.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Neuro-Symbolic AI: A Future of Tomorrow
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Machine Intelligence Research Institute, Smt. Kashibai Navale Medical College and General hospital

Top Papers

  1. 1
  2. 2
    Threats and Attacks in UWSN
    4 citations · 2021

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago