Dr. Nishu Sethi is an accomplished academician, researcher, and educator with over 15 years of experience in teaching, research, academic administration, and industry-academia collaboration. She currently serves as an Associate Professor in the School of Computer Science & Engineering at IILM University, Gurugram. She has published numerous research papers in SCI, Scopus-indexed, IEEE, Springer, and reputed international journals and conferences. An active researcher and mentor, Dr. Sethi has successfully supervised one Ph.D. scholar to completion, while guiding several postgraduate and undergraduate research projects. She has also served as a reviewer, session chair, technical committee member, and editorial board member for various national and international conferences and journals.

Educational Qualification 

• Ph.D. (Computer Science & Engineering), Amity University, Haryana – 2024
• M.Tech. (CSE), Banasthali University – 2011
• B.Tech. (CSE), N.C. College, Kurukshetra University – 2009

Research and Scholarly Publication

SCOPUS PUBLICATION

• “Conceding Sentiment Prognosis on Twitter Data”,Journal of Computers, Mechanical and Management, 2024, 3(1), pp. 15–21, 240105.
• “Neural network based image object detection and tracking for security and surveillance”, Journal of Discrete Mathematical Sciences and Cryptography, 2023, 26(3), pp. 939–949
• “A Secure Authentication Method Based On Digital Twins For Vehicle Cloud Networking”,Metallurgical and Materials Engineering, 2025.

CONFERENCE SCOPUS PUBLICATION

• “Towards Intelligent Intrusion Detection: Leveraging Machine Learning for Adaptive Threat Response”, ICECI 2026 – 2nd International Conference on Emerging Computational Intelligence: Bridging Research, Industry and Innovation in Computational Intelligence, 2026
• “ECC Based Reliable Framework for Vehicular Digital Twin Network”, 2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering, MRIE 2025, 2025, pp. 58–63.
• “3D – Model Using Gen AI”, 2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering, MRIE 2025, 2025, pp. 716–720.
• “Discrete Particle Swarm Optimization for Signed Graphs to Minimize Frustration Index”, 2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering, MRIE 2025, 2025, pp. 110–114.
• “Cost-Aware Scheduling of Machine Learning Workloads in Cloud Platforms”, 2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering, MRIE 2025Open source preview, 2025, pp. 421–426.
• “Interpretable Features of YOLO v8 for Weapon Detection – Performance Driven Approach”, Proceedings – 2024 International Conference on Emerging Innovations and Advanced Computing, INNOCOMP 2024, 2024, pp. 87–93.
• “Synthetic Time Series Data Generation Using Time GAN with Synthetic and Real-Time Data Analysis”, , 2023, 1011 LNEE, pp. 657–667.
• “Multi-Operator based Saliency Detection”, 2021 International Conference on Computational Performance Evaluation, ComPE 2021, 2021, pp. 507–512
• “Distortion free image generation”, 12th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2021, 2021, 2021-August, pp. 460–466.
• “Study of Ant Colony Optimization Technique for Coalition Formation in Multi Agent Systems”, 2018 International Conference on Circuits and Systems in Digital Enterprise Technology, ICCSDET 2018, 2018, 8821175

BOOK CHAPTERS 

• Artificial intelligence and internet of things for sustainability: A digital-twin-centric architecture with cross-domain case studies – Taylor & Francis, 2026 (SCOPUS).
• Synthetic Time Series Data Generation Using Time GAN with Synthetic and Real-Time Data Analysis – Springer Nature, 2023 (SCOPUS).
• Google Stock Movement: A Time Series Study Using LSTM Network – IGI Global Publisher, 2021 (SCOPUS).

OTHER PUBLICATIONS

• “Encryption and Decryption of Phonetic Alphabets Using Signed Graphs”. The Scientific Temper, 2024
• “Efficiency engine: designing and implementing an academic management system”,

International Journal of Innovative Research in Engineering & Management 10.

• “Machine learning and its role in diverse business systems”, Research Journal of Science and Technology 13 (3), 213-217.

CERTIFICATIONS

• Pearson Certified: Generative AI Foundations – 2025
• AWS Certified Cloud Practitioner – 2024
• Microsoft Certified: Azure AI Fundamentals – 2024
• MTA: Python Programming – 2018
• MTA: Database Fundamentals – 2018
• MTA: Software Development Fundamentals – 2016

PATENTS

• A Method and System for Secure Encryption and Decryption Using Spectral Engineering and Optimization of Signed Graph – April 2026
• Advanced Gun and Weapon Detection System with Optimizer Impact Analysis – Oct 2024.
• System for Enhancing Low Contrast Radiological Medical Images – Oct 2024.
• Discrete Particle Swarm Optimization for Minimal Frustration Index in Signed Graphs – Oct 2023