Jaypee Institute of Information Technology, Noida
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  • Dr. Sakshi Gupta
Assistant Professor (Senior Grade)
sakshi.agarwal@jiit.ac.in

Education

  • 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.
  • M.Tech. (Computer Science and Engineering with Specialization in Information Security), July 2010 – May 2012 from Indraprastha Institute of Information Technology, Delhi.
  • B.Tech. (Computer Science and Engineering), Aug 2006 - June 2010 from Rajasthan Technical University, Kota.

Biography

During my teaching career, I have taught subjects like Data Structures, Introduction to C/C++, Algorithms, Software engineering, Recent advances in Software engineering, Software architecture & design pattern, Information Retrieval & Data Mining, Operating System etc. I had supervised various projects at graduate and Post graduate levels. I have been actively participated in various conferences, faculty development programs and workshops. I have published various articles in reputed SCI/Scopus journals and conferences. I am reviewer of various international journals. I have been in organization committee of International Conference on Contemporary Computing (IC3) since 2014. Also, I have organized various Faculty Development Programs.  Presently I am guiding 1 Ph.D. in the field of data science.

Interest Area(s)

Data Mining, Algorithms and Cryptography, Data Mining, Machine  Learning, Social Network Analysis etc.

Work Experience

Approximately 10+ 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 Auguest 2021 to till date.
  • Worked as an Assistant Professorin 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.

Publications

Google Scholar Link:  https://scholar.google.co.in/citations?hl=en&user=SjAH3VMAAAAJ

Journals

  • Agarwal, S. and Mehta, S., Online Behavior Balancing Model for Influence Maximization in Twitter, Recent Advances in Computer Science and Communications 2022; 15(8). (SCOPUS) (H Index: 14) https://dx.doi.org/10.2174/2666255813666201208122616
  • 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
  • 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) https://doi.org/10.1016/j.ipm.2020.102321
  • Agarwal, S. and Mehta, S., “Multi-perspective Elicitation of User Based Influential Parameters and Measures in Social Network.” International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(8), pp. 2560-2571, 2019. (SCOPUS) https://www.ijitee.org/wp-content/uploads/papers/v8i8/H7075068819.pdf
  • 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)  https://doi.org/10.1007/s40745-017-0119-y

Conferences

  • Deep, P., Mittal, A., Pandey, E., Agarwal, S. (2021).Lexical, Pragmatic and Linguistic Feature Based Two-LevelSarcasm Detection Using Machine Learning Techniques.In: Tiwari, A., Ahuja, K., Yadav, A., Bansal, J.C., Deep, K.,Nagar, A.K. (eds) Soft Computing for Problem Solving.Advances in Intelligent Systems and Computing, vol 1393.Springer, Singapore. (H Index: 48) https://doi.org/10.1007/978-981-16-2712-5_55
  • Agarwal, S. and Mehta, S., “GA with k-medoid approach for optimal seed selection to maximize social influence.” International Conference on Innovative Computing and Communications, pp. 97-106. Springer, Singapore, 2020. (SCOPUS) (H Index: 48) https://doi.org/10.1007/978-981-15-1286-5_9
  • Agarwal, A., Pathak, S., Agarwal, S. (2020). M-N Hashing: Search Time Optimization with Collision Resolution Using Balanced Tree. In: Singh, P., Sood, S., Kumar, Y., Paprzycki, M., Pljonkin, A., Hong, WC. (eds) Futuristic Trends in Networks and Computing Technologies. FTNCT 2019. Communications in Computer and Information Science, vol 1206. Springer, Singapore. (SCOPUS) (H Index: 55)  https://doi.org/10.1007/978-981-15-4451-4_16
  • S. Goel, S. Roshan, R. Tyagi and S. Agarwal, "Augur Justice: A Supervised Machine Learning Technique To Predict Outcomes Of Divorce Court Cases," 2019 Fifth International Conference on Image Information Processing (ICIIP), 2019, pp. 280-285, IEEE, (SCOPUS) (H Index: 2)  10.1109/ICIIP47207.2019.8985764
  • Agarwal, Sakshi, and Shikha Mehta. "Social Influence Maximization Using Genetic Algorithm with Dynamic Probabilities." 2018 Eleventh International Conference on Contemporary Computing (IC3). IEEE, 2018. (SCOPUS) (H index: 21) 10.1109/IC3.2018.8530626
  • Chawla, Shiven, and Sakshi Agarwal. "Fat time optimization protocol in cellular networks." 2014 Seventh International Conference on Contemporary Computing (IC3). IEEE, 2014. (SCOPUS) ( H index: 21) 10.1109/IC3.2014.6897150

Conferences/ Workshops Attended

Attended sixth International Conference on Contemporary Computing IC3- 2013 organized by Jaypee Institute of Information Technology, INDIA jointly with University of Florida, sponsored by IEEE Delhi.