Dr. Sapna Arora is an academician and researcher currently serving as Associate Professor at the School of Computer Science & Engineering at IILM University, Gurugram. With over 14 years of experience in higher education, she has expertise in Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Educational Data Mining, and Generative AI. She has actively contributed to curriculum development, academic leadership, student mentoring, and research supervision. Her research focuses on Artificial Intelligence, Machine Learning,  Educational Data Mining, Healthcare AI, and Intelligent Decision Support Systems. She has published numerous research papers in Scopus-indexed journals and international conferences, authored book chapters, holds multiple patents, serves as a reviewer for IEEE conferences, and has organized several national and international academic events. Her work bridges academia and industry through innovation-driven teaching, interdisciplinary research, and technology-enabled learning.

Educational Qualification 

• Ph.D. (Computer Science & Engineering), Banasthali Vidyapith, Rajasthan (2022)
• M.Tech. (Computer Science & Engineering), Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana (2016)
• First Division with Honours (CGPA: 8.29) 
• B.Tech. (Information Technology), Guru Jambheshwar University of Science & Technology, Hisar, Haryana (2007)
• First Division
• PTE qualified

Research and Scholarly Publication

BOOKS

• AI in Medicinal Herb Cultivation, Bentham Science Publishers (Editor) (In Process)

SCOPUS PUBLICATION

• Kawatra, R. N. C., Arora, S., & Debnath, N. C. (2025). Robust steganography technique to enhance security and imperceptibility. In Advanced Machine Learning Technologies and Applications (AMLTA 2025) (Lecture Notes on Data Engineering and Communications Technologies, Vol. 273). Springer. https://doi.org/10.1007/978-3-032-07336-5_12
• Kawatra, R. N. C., Arora, S., & Debnath, N. C. (2024). White and black box techniques towards deploying a prediction model in educational data mining. International Journal of Computers and Their Applications, 31(2). https://isca-hq.org/isca.php?p=2024volume3102
• Arora, S., et al. (2024). Prostate cancer evaluation framework: A multivariate approach with PLS-SEM integration. Journal of Chemical Health Risks, 14(4), ISSN: 2251-6727
• Arora, S., et al. (2022). OPABP: Optimizing parameters to improve accuracy in bug prediction using machine learning. In Proceedings of the 4th International Conference on Artificial Intelligence and Speech Technology (AIST 2022) (IEEE Xplore). https://doi.org/10.1109/AIST55798.2022.10064852
• Arora, S., et al. (2022). Internet of Things (IoT): Applications, tools and security techniques. In Proceedings of the 2nd International Conference on Advance Computing and Innovative Technologies (ICACITE 2022) (IEEE Xplore). https://doi.org/10.1109/ICACITE53722.2022.9823703
• Arora, S., et al. (2021). PSRE self-assessment approach for predicting educators’ performance using classification techniques. In Artificial Intelligence and Speech Technology (Communications in Computer and Information Science, Springer). https://doi.org/10.1007/978-3-030-95711-7_34
• Arora, S., et al. (2021). Comparative analysis of educational job performance parameters for organizational success: A review. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2021). Springer Nature. https://doi.org/10.1007/978-981-15-7533-4_9
• Arora, S., et al. (2020). Prediction of educationists’ performance using regression models. In Proceedings of the International Conference on Computing for Sustainable Global Development (INDIACom 2020) (IEEE Xplore). https://doi.org/10.23919/INDIACom49435.2020.9083708
• An Empirical Study on the Cardinal Factors Towards Recruitment of Faculty in Higher Educational Institutions, 8th International Conference on Signal Processing and Integrated Networks (SPIN-2021), IEEE Xplore (Scopus Indexed), 2021, doi: 10.1109/SPIN52536.2021.9566057

BOOK CHAPTERS 

• PSE Assessment-Based E-learning: A Novel Approach Towards Enhancing Educationists’ Performance, New Paradigms in e-Learning Technologies, 2020, EPFRA, ISBN:978-81-942981-6-8

OTHER PUBLICATIONS

• Artificial Intelligence and Machine Learning Models for Credit Scoring and Risk Management, IITM Journal of Management and IT, Vol. 14, 2023, ISSN : 2349-9826
• Arora, S., & Agarwal, M. (2018). Empowerment through big data: Issues & challenges. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(5), 423–431, ISSN : 2456-3307
• SNR Computation of Various Spatial and Frequency Domain Transformations, International Journal of Advances in Electronics Engineering, 2011. 
• Application of Fast Fourier Transformation in Image Processing Software, International Journal of Artificial Intelligence and Knowledge Discovery, 2011. ISSN Print: 2231-2021

Patents

• Arora, S. (2026). System and method for intelligent surveillance-based threat detection (Indian Patent Application No. 202611004463). The Patent Office, Government of India.
• Arora, S. (2025). AI based twin personalized shopping kiosk (Indian Design Patent No. 463634-001). The Patent Office, Government of India.
• Arora, S. (2024). An interactive device for investment management in the banking sector (Indian Design Patent No. 414609-001). The Patent Office, Government of India.
• Arora, S. (2024). A portable digital marketing device (Indian Design Patent No. 421853-001). The Patent Office, Government of India.
• Arora, S. (2024). Secure transaction controlling device (Indian Design Patent No. 416556-001). The Patent Office, Government of India.
• Arora, S. (2024). Smart retail shelf computer with real-time analytics display (UK Design Patent No. 6380861). UK Intellectual Property Office.