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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Jyoti Kumari

Jyoti Kumari is an Assistant Professor in the Department of Computer Science and Engineering, specializing in Machine Learning and Artificial Intelligence. Her research primarily focuses on AIML (Artificial Intelligence and Machine Learning), data analytics, and related cutting-edge areas. She has authored and published numerous research papers, chapters, patents, copyrights and books in the field of AIML, contributing valuable insights to the academic and scientific community. Dedicated to shaping the next generation of technologists, she is committed to preparing students for successful careers in technology and research. Through her teaching, she instills a strong foundation in core concepts, emphasizes hands-on practical experience, and cultivates an innovative mindset. Her pedagogical approach goes beyond traditional instruction by inspiring students to explore novel ideas, adopt emerging techniques, and stay aligned with the latest industry trends and technological advancements.
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