Dr. Kiran Jyoti | Data Analytics | Best Researcher Award
Dr. Kiran Jyoti Guru Nanak Dev Engineering College, Ludhiana India
Dr. Kiran Jyoti is an Associate Professor and Head of the Computer Science Engineering (CSE) department at Guru Nanak Dev Engineering College in Ludhiana, India. With approximately 24 years of experience in academia, she specializes in data analytics and has guided 26 M.Tech theses and supervised 4 Ph.D. students to completion. Dr. Jyoti has published 38 papers in international journals and presented at numerous conferences, contributing significantly to her field. She holds a Ph.D. from Shri JJT University and is known for her determination, enthusiasm, and dedication to teaching and research.
Educational Details:
Ph.D. in Computer Science, Shri JJT University, Jhunjhunu, Rajasthan, May 2013
M.Tech. in Computer Science, Punjab Technical University, Jalandhar, 2007 (74.10%)
B.Tech. in Computer Science, NIT Jalandhar (PTU), 2000 (68%)
Matriculation, PSEB Mohali, 1994 (68%)
Professional Experience
Dr. Kiran Jyoti has approximately 24 years of experience in academia, during which she has made significant contributions to the field of Computer Science. She has guided 26 M.Tech theses and has supervised 4 Ph.D. students to completion, with 3 current Ph.D. students under her guidance. Dr. Jyoti is recognized for her commitment to education and research.
Research Interest
Her primary research area is Data Analytics, where she explores various methodologies and techniques to enhance data-driven decision-making processes. One of her notable works includes “An analysis of heart disease prediction using different data mining techniques,” which has garnered attention in the academic community.
Top Notable Publications
Title: An analysis of heart disease prediction using different data mining techniques
Authors: N Bhatla, K Jyoti
Year: 2012
Cited by: 277
Journal: International Journal of Engineering 1 (8), 1-4
Title: Research on auto-scaling of web applications in cloud: survey, trends and future directions
Authors: P Singh, P Gupta, K Jyoti, A Nayyar
Year: 2019
Cited by: 133
Journal: Scalable Computing: Practice and Experience 20 (2), 399-432
Title: A novel approach for heart disease diagnosis using data mining and fuzzy logic
Authors: N Bhatla, K Jyoti
Year: 2012
Cited by: 91
Journal: International Journal of Computer Applications 54 (17)
Title: TASM: technocrat ARIMA and SVR model for workload prediction of web applications in cloud
Authors: P Singh, P Gupta, K Jyoti
Year: 2019
Cited by: 68
Journal: Cluster Computing 22 (2), 619-633
Title: RHAS: robust hybrid auto-scaling for web applications in cloud computing
Authors: P Singh, A Kaur, P Gupta, SS Gill, K Jyoti
Year: 2021
Cited by: 37
Journal: Cluster Computing 24 (2), 717-737
Title: Survey of techniques of high-level semantic-based image retrieval
Authors: H Kaur, K Jyoti
Year: 2013
Cited by: 31
Journal: IJRCCT 2 (1), 15-19
Title: Enhancement in the Performance of K-means Algorithm
Authors: D Kaur, K Jyoti
Year: 2013
Cited by: 30
Journal: International Journal of Computer Science and Communication Engineering 2 (1)
Title: Hybrid encryption algorithm in wireless body area networks (WBAN)
Authors: S Farooq, D Prashar, K Jyoti
Year: 2018
Cited by: 27
Journal: Intelligent Communication, Control and Devices: Proceedings of ICICCD 2017
Title: Data clustering approach to industrial process monitoring, fault detection and isolation
Authors: K Jyoti, S Singh
Year: 2011
Cited by: 27
Journal: International Journal of Computer Applications 17 (2), 41-45
Conclusion
Given her extensive experience, strong educational background, impactful research contributions, and commitment to mentoring the next generation of scholars, Dr. Kiran Jyoti stands out as a highly suitable candidate for the Best Researcher Award. Her work not only advances the field of data analytics but also positively impacts the community, embodying the spirit of excellence that this award represents.