+91-120-2594300/400
Academic Experts
Academic Experts
Dr. Niyati Aggrawal
ASSISTANT PROFESSOR (SENIOR GRADE)
niyati.aggrawal@jiit.ac.in
Biography

Dr. Niyati Aggrawal is an academic with expertise in Social Network Analysis, Web Intelligence, Data Analysis and Mining, Database Management Systems, and Information Security. Her interdisciplinary work integrates artificial intelligence, network modeling, and data-driven decision-making to address emerging challenges in digital communication, security, and analytics.

She has authored and co-authored numerous publications in reputed international journals and conferences, including works on information diffusion, sentiment analysis, and database optimization. Her book, Social Networks: Modelling and Analysis (CRC Press, 2022), presents analytical frameworks for understanding complex network structures. She has played an active role in the academic community, organizing international conferences and workshops, chairing sessions at reputed forums, and serving as Associate Editor for the Journal of Graphic Era University.

Educational Qualifications

Ph.D.(Computer Science & Engineering) from JIIT Noida, M.Tech. (Computer Science & Engg), Aug. 2008 – July 2010 from JIIT, Noida, B.Tech. (Computer Science and Engineering), Aug 2002 - June from Uttar Pradesh Technical University

Research Highlights

Her research includes influential publications in Evolving Systems, Wireless Personal Communications, Kybernetes, and Advances in Engineering Software, covering topics from information diffusion modeling and sentiment analysis to YouTube viewer categorization and database optimization. She co-authored the book Social Networks: Modelling and Analysis (CRC Press, 2022). Beyond research, she has made significant academic contributions—organizing international conferences and workshops, serving as Session Chair at IC3 (2023–2025). Her interdisciplinary work bridges AI, IoT, and data-driven decision-making to address real-world challenges in digital communication and security.

Areas Of Interest
  • Social Network Analysis
  • Web Intelligence and Information Retrieval
  • Data Analysis and Mining
  • Database Management Systems
  • Information Security
Publications
  1. Sabharwal, S. M., & Aggrawal, N. (2025). Information diffusion prediction using hybrid GCNN–LSTM and stock market-based sentiment analysis in social media. Evolving Systems, 16(3), 77.
  2. Sabharwal, S. M., & Aggrawal, N. (2023). A Survey on Information Diffusion over Social Network with the Application on Stock Market and its Future Prospects. Wireless Personal Communications, 1-27
  3. Aggrawal, N., & Anand, A. (2022). Social Networks: Modelling and Analysis. CRC Press. (ISBN: 9781003088066)
  4. Aggrawal, N., Arora, A., Anand, A., & Dwivedi, Y. (2021). Early viewers or followers: a mathematical model for YouTube viewers’ categorization. Kybernetes, 50(6), 1811-1836.
  5. Aggarwal, N., Kumar, A., Khatter, H., & Aggarwal, V. (2012). Analysis the effect of data mining techniques on database. Advances in Engineering Software, 47(1), 164-169.