Papers
4
Total Citations
46
H-Index
3
About
Sanjeev Jain is a forward-looking researcher at the intersection of next-generation communications, intelligent control systems, and applied machine learning. His work primarily explores the integration of tactile intelligence with B5G/6G networks, where he investigates how touch-enabled sensation and actuation can transform future wireless communication infrastructures. In a highly cited 2022 survey (37 citations), Jain systematically analyzed the role of tactile-based intelligence in IoT-configured wireless communication networks, emphasizing the need for reconfigurable, intelligent, and interoperable systems to meet ultra-low latency requirements. He has also made notable contributions to nonlinear system control, developing a novel neuro-fuzzy Elman wavelet neural network (NFEWNN) scheme that accurately models uncertainties and disturbances—a method with promising applications in robotics. More recently, Jain has ventured into financial technology, applying machine learning approaches to stock market investment strategies. His research portfolio further includes work on static hand gesture recognition, demonstrating his versatility across human-computer interaction and artificial intelligence. Through his interdisciplinary focus on intelligent systems, Jain continues to contribute to the foundational technologies shaping future communication and automation landscapes.
Research Focus
Key Achievements
Top Papers
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- 3Machine Learning Approaches for Investing Strategies in Stock Market3 citations · 2024
- 4