Faculty Profile

Kalyanee Devi

M.tech, GATE Qualified

Kalyanee Devi Kalyanee Devi is an Assistant Professor in AIML and Data Science at Pragjyotishpur University. She did her Bachelor in Engineering in Computer Science and Engineering from Jorhat Engineering College in the year 2011. She joined TCS in the year 2012 and served as Systems Engineer for 3 and a half years. Later on, she did her M.Tech in IT from Tezpur University in the year 2017 under the GATE fellowship. She is currently pursuing her Ph.D from IIIT Guwahati and submitted her thesis. She has 9 research publications, which include five international journals (SCI/SCOPUS indexed) and four international conference papers (SCOPUS indexed). Her specialization includes Social Network Analysis, Data Science and Analytics, Graph Theory. 

Social network Analysis, Data Science and Analytics, Machine Learning


Awards and Fellowships:

SEMINAR/WORKSHOP/CONFERENCES/FDPS ATTENDED:

Research Papers

1. Devi, Kalyanee, and Rohit Tripathi. "Influential users identification under the non-progressive LTIRS model." Knowledge and Information Systems (2024): 1-26.

2. Devi, Kalyanee and R. Tripathi, “Asn: A method of optimality for seed identification in the influence diffusion process,” Physica A: Statistical Mechanics and its Applications, vol. 618, p. 128 710, 2023 (SCI-E).

3. Devi, Kalyanee and R. Tripathi, “Identification of best social media influencers using icirs model,” Computing, pp. 1–23, 2023 (SCI).

4. Devi, Kalyanee and R. Tripathi, “Optimal seed node selection method for ltis model,” Concurrency and Computation: Practice and Experience, vol. 34, no. 15, e6982, 2022 (SCI-E).

5.Devi, Kalyanee and R. Tripathi, “An ltirs model for influence diffusion process,” in 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE, 2022, pp. 285–289.

6. Devi, Kalyanee and R. Tripathi, “Applying an optimal seed selection scheme under a progressive model,” in 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2022, pp. 1–6.

7. Devi, Kalyanee and R. Tripathi, “Efficient seed selection for ic-is multiphase diffusion model,” in 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), IEEE, 2021, pp. 1–6.

8. Devi, Kalyanee and R. Tripathi, “Information diffusion within a limited budget using node centralities and community detection,” in 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS), IEEE, 2020, 197–202 (RANK-C).

9. Devi, Kalyanee and R. Tripathi, “Social network analysis for efficient delivery of agricultural extension services,” in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2020, pp. 1–6.

5.Devi, Kalyanee and R. Tripathi, “An ltirs model for influence diffusion process,” in 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE, 2022, pp. 285–289.

Book Chapters

WORK EXPERIENCE: