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Research Areas
Biography and Research Information
OverviewAI-generated summary
Sijan Panday investigates the application of machine learning and artificial intelligence in various domains. His recent work includes a study on crime prediction utilizing machine learning techniques, specifically focusing on the city of Little Rock. Panday has also contributed to the development of an AI assistant for universities, employing retrieval-augmented generation (RAG) for personalized support. He has published two scholarly works, achieving an h-index of 1 with a total of 7 citations. His research collaborations include work with Robin Ghosh and Zurab Sabakhtarishvili at Arkansas Tech University.
Metrics
- h-index: 1
- Publications: 2
- Citations: 7
Selected Publications
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PUAA: Personal University AI Assistant using Retrieval Augmented Generation (2024)
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Crime Prediction Using Machine Learning: The Case of The City of Little Rock (2023)
Collaboration Network
Top Collaborators
Robin Ghosh
Arkansas Tech University
2 shared publications
In database
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
- PUAA: Personal University AI Assistant using Retrieval Augmented Generation
Zurab Sabakhtarishvili
Arkansas Tech University
1 shared publication
In database
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
Clayton E. Jensen
Arkansas Tech University (US)
1 shared publication
- Crime Prediction Using Machine Learning: The Case of The City of Little Rock
Md Atiqur Rahman
Cisco Systems (United States) (US)
1 shared publication
- PUAA: Personal University AI Assistant using Retrieval Augmented Generation
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