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Academic Experts
Shagun Gupta

Biography

She is an Assistant Professor in the Department of Computer Applications at Jaypee Institute of Information Technology, Noida. She has over a year of research and academic experiences. Ms. Gupta received her MCA from Guru Jambheshwar University of Science and Technology, Hisar. Her academic and research interests include Artificial Intelligence, Machine Learning, Data Mining, NLP, Power BI, and Web Development. As a teacher and academic researcher, her objectives are to motivate students to explore their learning interests and enhance their critical thinking skills, while also leading research and development projects focused on innovation and advancement. Apart from teaching she is an active researcher. She has supervised M.Sc. Students and has three publications in referred conferences of international and national repute.

Educational Qualifications

MCA from GJU, Hisar | Highest Rank Achiever with CGPA 8.6 | August 2023, B.Sc. (CS) from CBLU, Bhiwani | Completed with Distinction CGPA 7.9 | June 2021

Research Highlights

Shagun Gupta’s research area is centered in the field of Artificial Intelligence, Cloud Security, and Emerging Technologies, with a focus on both theoretical foundations and practical applications. Her work spans natural language processing, blockchain, sustainable AI, and secure cloud systems.

Her research in sentiment analysis applies deep learning techniques such as LSTM and GRU for analyzing product reviews through URL-based data. This approach supports e-commerce platforms by enhancing consumer insights and decision-making processes. In the domain of cloud security and digital forensics, she investigates methodologies to ensure privacy, data integrity, and effective forensic investigation within distributed computing environments, which are crucial for trustworthy digital infrastructures.

Focusing on sustainable artificial intelligence, her studies highlight the influence of deep learning models on energy efficiency, addressing the growing need to balance computational performance with environmental impact. She also explores the role of blockchain technologies in decentralizing e-commerce, enabling greater transparency, trust, and security in digital transactions.

Her work in context-aware AI applications includes the design of real-time, browser-based solutions such as spoiler blockers, which leverage intelligent filtering to improve user experience.

Collectively, her research contributions advance intelligent, sustainable, and secure computing solutions with broad applications in e-commerce, cloud systems, and real-time AI tools, supporting both industry innovation and user-centric outcomes.

Areas of Interest
  • Artificial Intelligence & Machine learning
  • Data Mining
  • NLP
  • Power BI
  • Image Processing and Web Development
Publications
  1. Aakash, S. Gupta, “URL-Based Sentiment Analysis of product reviews using LSTM and GRU.” Procedia Computer Science, vol. 235, Jan. 2024, pp. 1814–23. https://doi.org/10.1016/j.procs.2024.04.172.
  2. D. Saini and S. Gupta, “Cloud Security and Computing Research in Digital Forensics,” in Managing Global Challenges Through Innovative Strategic Practices, 1st ed., India, Corvette Press, 2024, pp. 264–75. ISBN: 978-93-91385-53-8
  3. S. Gupta and Aakash, “Influence of Deep Learning Models for Energy Efficiency in Sustainable AI,” in Advances in Sustainable Artificial Intelligence, J. Doe and M. Smith, Eds., Beverly, MA, USA: Scrivener Publishing LLC, Oct. 2025, pp. 45–68
  4. V. Gahlot, et.al. “Context-Aware AI Spoiler Blocker: A Real-Time Browser-Based Solution” 2025 Seventeenth International Conference on Contemporary Computing (IC3)