Dr. Nidhika Chauhan | Metaverse | Best Researcher Award 

Associate Professor in Chandigarh University, India

Dr. Nidhika Chauhan is an accomplished academic leader and researcher currently serving as Associate Professor and Subject Coordinator. With a PhD from Chandigarh University (2024), she previously led the Computer Science and Management departments at Chandigarh University (2016–Jan 2022), where she developed curricula, evaluated programs, delivered lectures in subjects such as Java, SQL, C/C++, Cloud Computing, Research Methodology, and SPSS, and mentored students on research projects and scientific writing. She has coordinated academic events, supervised internships and postgraduate work, managed student queries and assessment processes, and led communication and performance feedback strategies. Her prior roles include working with NIIT Chandigarh and serving as academic counselor. According to Google Scholar her research profile shows 67 citations with an h-index of 4, reflecting her contributions in the fields of cloud computing, optimization in data centers, and hybrid algorithms for resource allocation Google Scholar. Her conference publications include relevant works such as “Energy Efficient Resource Allocation in Cloud Data Center” and “Performance Analysis of Hybrid Optimization Algorithms,” demonstrating her engagement with emerging topics in computing systems and optimization.

Featured Publications 

Chauhan, N., Jhanjhi, N. Z., Ashfaq, F., & Jasmansyah. (2025, September 16). Metaverse as a catalyst for digital transformation in India’s education sector: Implementation perspectives [Conference paper].

Chauhan, N., & Kaur, N. (2025, February 26). Prediction of clinical drug response using machine learning. In Optimized predictive models in health care using machine learning (pp. 123–140). CRC Press.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Alabdulatif, A., Khurma, R. A., Garcia-Arenas, M., & Castillo, P. A. (2024). A systematic literature review on task allocation and performance management techniques in cloud data center. arXiv.

Chauhan, N., Kaur, N., Saini, K. S., & Kaur, M. (2024). Issues in healthcare and the role of machine learning in healthcare. In Optimized predictive models in health care using machine learning (pp. 45–62). Wiley.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Abu Khurma, R., & Castillo, P. A. (2024). Maximizing resource efficiency in cloud data centers through knowledge-based flower pollination algorithm (KB-FPA). Computers, Materials & Continua, 78(1), 891–908.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of knowledge-based optimization algorithm for effective resource allocation. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 112–118). IEEE.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of rules generated hybrid optimization algorithm for resource allocation and migration in the cloud environment. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 201–208). IEEE.

Nidhika Chauhan | Metaverse | Best Researcher Award

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