About
Prof. Sumin Sybol is an Assistant Professor at CHRIST (Deemed to be University), Delhi NCR Campus, India, and a doctoral researcher in Computer Science. His research interests include Machine Learning, Data Analytics, Educational Technology, and AI applications in higher education.
He is actively involved in teaching, curriculum development, and academic development initiatives, with a focus on integrating emerging technologies into higher education. He serves as the Programme Coordinator for BBA (Finance and Marketing Analytics) and the Campus Internship Coordinator for the CHRIST (Deemed to be University), Delhi NCR Campus. He is also an active member of the Centre for Artificial Intelligence, CHRIST (Deemed to be University), Delhi NCR Campus.
Prof. Sybol has published research papers and book chapters with reputed publishers and has presented his work at national and international conferences hosted by institutions including IIT Roorkee, IIT Mandi, and VIT Bhopal. His academic and industry experience enables him to bridge theoretical concepts with practical applications in Artificial Intelligence and data-driven technologies.
His current research focuses on machine learning applications in higher education, learning analytics, ethical use of AI, and technology-enabled educational innovation to enhance learning experiences and institutional effectiveness.
Employment
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Christ University Assistant Professor2024 - Present
Education
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Christ University Doctor of Philosophy2021 - Present
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Amity University BCA + MCA2014 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Validating the AI-Project Management Maturity Model Save
- Exploring the Intersection of Artificial Intelligence and Entrepreneurial Psychology Save
- Bridging the Divide Save
- Impact of AI on Students Mental Health and Well-Being Save
- The Human Side of Sustainability Save
- Fostering Employee Engagement and Motivation in Global Workforces Save
- The Role of Technology in Facilitating Organizational Transformation Save
- Successful AI Integration in Branding Save
- Application of Regression Analysis of Student Failure Rate Save
- Soft Computing Approach for Student Dropouts in Education System Save