0000-0002-1575-4994 About
Dr. Kapil Saini is an Assistant Professor at Geeta University, Panipat, Haryana, with over 16 years of experience in academia and research in Computer Science Engineering. Throughout his career, Kapil has made significant contributions to the fields of cloud computing, wireless sensor networks, and machine learning.
His research has been widely recognized, with numerous publications in esteemed Scopus-indexed journals. Notably, his work on cloud computing, particularly in areas like service optimization, data security, and autonomic services, has been influential in advancing the understanding of cloud infrastructure and its application in modern business environments. Additionally, Kapil has explored the intersection of machine learning and e-commerce, contributing to the development of sophisticated recommender systems.
Kapil's commitment to research is further demonstrated by his active participation in patenting innovative technologies, such as optimized protocols for wireless body area networks and smart health monitoring systems using IoT. His ongoing PhD work at Deenbandhu Chhotu Ram University of Science and Technology (DCRUST) reflects his dedication to advancing his expertise in these areas.
At Geeta University, Kapil has held significant leadership roles, including serving as the convener of the Board of Studies and as a member of the Board of Faculties, where he has been instrumental in shaping the academic curriculum and faculty development. In 2024, Kapil also played a pivotal role as a member of the organizing committee for the International Conference on Computational Sciences and Management, showcasing his leadership and dedication to fostering collaboration in these critical fields.
In recognition of his efforts, Kapil has been honored with awards like the Best Teacher Award at Geeta University. He continues to be an influential figure in the academic community, guiding the next generation of engineers and researchers.
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Publications (24)
- Application of Data Analytics in Banking Save
- Research advancements in quantum computing digital twins Save
- Synergizing Artificial Intelligence and Optimization Techniques for Enhanced Public Services Save
- Technology Tools for Legal System Save
- A content-based recommender system using stacked LSTM and an attention-based autoencoder Save
- Comparative analysis of collaborative filtering recommender system algorithms for e-commerce Save
- Cybersecurity in Digital Transformation: Challenges and Solutions Save
- Data-Driven Strategies for Improving Customer Engagement and Retention in E-commerce Save
- Research advancements in quantum computing digital twins Save
- Synergizing Performance Marketing and SEO: Strategies for Optimal Digital Marketing Impact Save