Have a Question about JIIT?
Chat with VIDYA
searchImportant Announcements:
Admissions Open for 2026.Apply NowAnother Opportunity : Open House (Parent Interaction) on 13th June 2026.Register NowCareer OpeningsApplyRound-1 of 10+2 Marks Based Counselling Scheduled for 03 June 2026. Instructions
Academic Experts
Dr. Sakshi Gupta

Biography

Qualification:

Ph.D. (Thesis Title: Effective Techniques for Influence Maximization in Static and Dynamic Online Social Networks) from Jaypee Institute of Information Technology in July 2021. http://hdl.handle.net/10603/336306

M.Tech. (Computer Science and Engineering with Specialization in Information Security), July 2010 – May 2012 from Indraprastha Institute of Information Technology, Delhi.www.iiitd.ac.in

B.Tech. (Computer Science and Engineering), Aug 2006 - June 2010 from Rajasthan Technical University, Kota.

Work experience:

Approximately 13+ Years in Academics

  • Presently working as an Assistant Professor (Senior Grade) in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from August 2021 to till date.
  • Worked as an Assistant Professor in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from March 2013 to July 2021.
  • Worked as Assistant Professor in the Department of Computer Science at Sharda University, Greater Noida, U.P. from July 2012 to March 2013.
Research Highlights

I have contributed extensively to teaching and research in areas including Data Structures, C/C++, Algorithms, Software Engineering, Recent Advances in Software Engineering, Software Architecture & Design Patterns, Information Retrieval & Data Mining, and Operating Systems. I have supervised numerous graduate and postgraduate research projects, fostering innovation, analytical thinking, and practical problem-solving skills among students.

My research work has resulted in several publications in reputed SCI- and Scopus-indexed journals and international conferences, reflecting significant contributions to my fields of expertise. I actively serve as a reviewer for various high-impact international journals, ensuring the quality and rigor of published research. In addition, I have been part of the organizing committee for the International Conference on Contemporary Computing (IC3) since 2014, playing an important role in promoting the exchange of innovative research ideas.

I regularly participate in academic conferences, faculty development programs, and workshops, which have enhanced my research knowledge and strengthened my academic network. My involvement in both research and academic activities reflects a commitment to advancing the field and mentoring future researchers.

Ph.D. Supervision

  • Ms. Shivali Tyagi (Ongoing) – Community Detection
  • Ms. Manu Vardhan (Ongoing) – Social Network Analysis
Areas of Interest
  • Data Mining
  • Machine Learning
  • Social Network Analysis
  • Data Analytics
  • Algorithms and Cryptography
Publications
  1. Saxena, N., Agarwal, S. & Sinha, A. COBAC: An Adaptive Transhipment Station Localization for Reducing IUU Fishing Practices. Wireless Pers Commun 135, 261– 283 (2024). https://doi.org/10.1007/s11277-024-10974-y
  2. Agarwal, S. and Mehta, S., Online Behavior Balancing Model for Influence Maximization in Twitter, Recent Advances in Computer Science and Communications 2022; 15(8). https://dx.doi.org/10.2174/2666255813666201208122616 (SCOPUS) H Index: 14
  3. Agarwal, S. and Mehta, S., “GNPA: A Hybrid Model for Social Influence Maximization in Dynamic Networks.” Multimedia Tools and Applications, (2022) Springer (SCOPUS, SCIE) Impact Factor: 2.757, H Index: 70 https://doi.org/10.1007/s11042-021-11606-4
  4. Agarwal, S. and Mehta, S., “Effective Influence Estimation in Twitter using Temporal, Profile, Structural and Interaction Characteristics.” Information Processing and Management, 57(6):102321, 2020, Elsevier (SCOPUS, SCIE) Impact Factor: 7.4666, H Index: 104
  5. Agarwal, S. and Mehta, S. “Approximate Shortest Distance Computing Using k-Medoids Clustering.” Annals of Data Science, 4.4, pp. 547-564, 2017, Springer. (SCOPUS) H Index: 17.