Amit Kumar Goel
Papers
2
Total Citations
241
H-Index
2
About
Dr. Amit Kumar Goel is a distinguished researcher at the forefront of artificial intelligence and cybersecurity, with a primary focus on the integration of machine learning and spatial data analysis. His most impactful work, "The role of artificial neural network and machine learning in utilizing spatial information" (2022), has garnered 237 citations, establishing a foundational framework for leveraging AI to extract actionable insights from complex spatial datasets. This contribution has significant implications for fields ranging from urban planning to environmental monitoring. Additionally, Dr. Goel has explored cybersecurity challenges, notably in his 2021 study on "Intrusion Detection: Spider Content Analysis to Identify Image-Based Bogus URL Navigation," which addresses novel threats in web security. His research demonstrates a unique ability to bridge theoretical machine learning advances with practical, real-world applications. Through his work, Dr. Goel has become a key voice in advancing intelligent systems that process and interpret spatial information, offering students and researchers a compelling model of how AI can solve pressing technological and security problems.
Research Focus
Key Achievements
Top Papers
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