Dr. Pallavi Pandey is an Associate Professor at the School of Computer Science & Engineering, IILM University, Gurugram, specializing in Artificial Intelligence and Machine Learning. With a Ph.D. in Computer Science and Engineering from Indira Gandhi Delhi Technical University for women (IGDTUW), Delhi and over 16+ years of academic and research experience, Dr. Pallavi Pandey has made significant contributions to the fields of Signal Processing, Machine Learning, IoT and Data Mining. Her scholarly work is reflected in multiple high-impact research papers with SCI and SCOPUS indexed Journals and patents that demonstrate her commitment to innovation and technological advancement. 

Dr. Pallavi Pandey actively serves as a reviewer for reputed international journals and authored books as editor and author both with reputed Publishers. She has been an invited speaker at several national and international Faculty Development Programs and webinars focusing on emerging technologies, such as Healthcare with AI and Multidisciplinary research. Her passion for teaching is complemented by her efforts to mentor students in research projects and startup initiatives.

Educational Qualification 

• Ph.D., in Computer Science and Engineering from Indira Gandhi Delhi Technical University for women (IGDTUW), Delhi 
  – Topic: Subject Independent Emotion recognition using EEG signals (Full Time with fellowship)
• M.Tech(CSE), Jamia Hamdard University, New Delhi

Research and Scholarly Publication

BOOKS

• “AI and Machine Learning Techniques for Wildlife Conservation”, February-2025, IGI Global, ISBN-9798369369357, DOI: 10.4018/979-8-3693-6935-7
• “FUNDAMENTAL OF NEURAL NETWORK AND DEEP LEARNING”, 2023, ISBN-978-93-5842-307-5

SCI/SCOPUS PUBLICATION

• “Subject independent emotion recognition from EEG using VMD and deep learning”. Journal of King Saud University-Computer and Information Sciences. 2022 May 1;34(5):1730-8.
• “Subject independent emotion recognition system for people with facial deformity: An EEG based approach.” Journal of Ambient Intelligence and Humanized Computing 12, no. 2 (2021): 2311-2320.
• “Internet of things (IoT): Applications, trends, issues and challenges.” Materials Today: Proceedings 69 (2022): 587-591.
• “Forensic writer identification with projection profile representation of graphemes.” In Proceedings of First International Conference on Smart System, Innovations and Computing: SSIC 2017, Jaipur, India, pp. 129-136. Singapore: Springer Singapore, 2018.
• “Subject-independent emotion detection from EEG signals using deep neural network.” In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2018, Volume 2, pp. 41-46. Singapore: Springer Singapore, 2018.
• “Emotional state recognition with eeg signals using subject independent approach.” In Data Science and Big Data Analytics: ACM-WIR 2018, pp. 117-124. Singapore: Springer Singapore, 2018.
• “A one-dimensional CNN model for subject independent emotion recognition using EEG signals.” In International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 2, pp. 509-515. Singapore: Springer Singapore, 2021.
• “Enhancing Potato Leaf Disease Detection using Capsule Networks: A Comparison with CNN Architectures.” In 2026 6th International Conference on Image Processing and Capsule Networks (ICIPCN), pp. 1-6. IEEE, 2026.
• “Real-Time Continuous Face Authentication Using Deep Learning.” In 2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS), pp. 1-6. IEEE, 2025.
• “MLP-based Neural Network Approach for Signature Forgery Detection.” In 2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS), pp. 1-6. IEEE, 2025.
• “Smart healthcare: cloud-IoT solutions for enhanced patient well-being.” African Journal of Biomedical Research 28, no. 1 (2025): 14-28.

UGC CARE LIST PUBLICATION

• “EMPOWERING REFUGEES IN INDIA-A DECENTRALIZED SYSTEM FOR DIGITAL IDENTITY AND FINANCIAL INCLUSION.” ICTACT Journal on Soft Computing 14, no. 1 (2023).

BOOK CHAPTERS 

• “Adoption of green cloud computing for environmental sustainability: an analysis.” In Convergence Strategies for Green Computing and Sustainable Development, pp. 138-151. IGI Global Scientific Publishing, 2024.
• “Predicting pregnancy complications using machine learning.” In Technological Tools for Predicting Pregnancy Complications, pp. 141-160. IGI Global Scientific Publishing, 2023.
• “Impact of Social Media Platforms on the Consumer Decision-Making Process in the Food and Grocery Industry.” In Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry, pp. 119-139. IGI Global Scientific Publishing, 2023.
• “Load Balancing Using Swarm Intelligence in Cloud Environment.” In Resource Management in Distributed Systems, pp. 189-208. Singapore: Springer Nature Singapore, 2024.
• “Multimedia data in healthcare system.” Supervised and Unsupervised Data Engineering for Multimedia Data (2024): 63-92.
• “Supervised and unsupervised learning techniques for biometric systems.” Supervised and Unsupervised Data Engineering for Multimedia Data (2024): 263-299.
• “Deep Learning: Foundations, Architectures, and Transformative Applications.” In Neural Network Advancements in the Age of AI, pp. 33-98. IGI Global Scientific Publishing, 2025.