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Dr. Nimisha Pandey
Assistant Professor
Profile Summary
Dr. Nimisha Pandey is an Assistant Professor at the School of Computer Science, UPES. She completed her Ph.D. from Banaras Hindu University and her master’s degree from Banasthali Vidyapith, Rajasthan.
Her research focuses on leveraging Machine Learning for analyzing Distributed Denial of Service (DDoS) attacks to strengthen security in IoT networks, with emphasis on Generative Adversarial Networks and synthetic data generation.
She works on developing intelligent attack detection systems by applying Artificial Intelligence and Deep Learning techniques for the classification and mitigation of DDoS attacks in IoT environments.
Work Experience
Dr. Nimisha Pandey is currently serving as an Assistant Professor at UPES, contributing to teaching, student mentoring, and research activities in computer science and emerging technology domains.
Research Interests
Machine Learning | Deep Learning | DDoS Attacks in IoT Networks | Generative AI | Cybersecurity | Synthetic Data Generation | Intelligent Attack Detection
Teaching Philosophy
Dr. Nimisha Pandey believes in creating interactive learning environments that encourage critical thinking and active participation. She engages students through discussions, real-world applications, and continuous feedback.
Her approach focuses on guiding students through inquiry-based learning, helping them build confidence, recognize their strengths, and take ownership of their academic journey.
Courses Taught
Design and Analysis of Algorithms | Digital Electronics | Python Programming | Agile Practices | Problem Solving | Predictive Analytics Lab | Linux Lab
Awards and Achievements
- Recipient of the Junior Research Fellowship (JRF) from the University Grants Commission during her Ph.D.
Scholarly Activities
Dr. Nimisha Pandey has authored and co-authored multiple peer-reviewed journal and conference publications. Her research focuses on machine learning applications in cybersecurity, DDoS attack classification, synthetic data generation, and intelligent IoT network defence systems.
She continues to engage in scholarly work that bridges theoretical AI advancements with practical cybersecurity solutions for next-generation computing environments.
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