admission@niet.co.in
+91-8010-500-700
Experience
8 Years
My name is Dr. Megha Gupta, and I am currently working as an Assistant Professor in the Department of Computer Science and Engineering at Noida Institute of Engineering and Technology (NIET), Greater Noida. I hold a Ph.D. in Computer Science from Guru Gobind Singh Indraprastha University, specializing in Digital Image Watermarking. With over six years of teaching and research experience, I have developed a strong passion for academic excellence, research innovation, and mentoring students.
I have a robust teaching portfolio that includes subjects like C, Data Structures, Algorithms, and Python. Beyond teaching, I actively serve as the M.Tech Coordinator, where I lead workshops, hackathons, and other academic events to foster a culture of innovation and learning among students.
My research interests lie in digital image watermarking, artificial intelligence, and deep learning. I have authored multiple research papers in reputed journals and conferences, demonstrating my commitment to advancing the field. As a dedicated academic, I enjoy guiding students in their learning journeys and contributing meaningfully to institutional growth through my teaching, research, and leadership initiatives.
Education
Guru Gobind Singh Indraprastha University, Delhi, 2024
GLA University, Mathura, 2015
Hindustan College of Science and Technology, Mathura, 2012
CBSE, 2008
CBSE, 2006
Research
Image Processing
Key Publications
Journal Publications
- Gupta, M. and Rama Kishore, R. (2022) ‘A highly robust and secure digital image watermarking using modified optimal foraging algorithm - based SVM classifier and hyperchaotic fibonacci Q-matrix’, Journal of Discrete Mathematical Sciences and Cryptography, 25(7), pp. 2079–2090. doi:10.1080/09720529.2022.2133247. (ESCI)
- M. Gupta and R. Rama Kishore, “Optimized, Secured and Robust Digital Image Watermarking using Cuckoo Search Optimization and Probabilistic Neural Network”, Communicated in Multimedia Tools and Applications. (SCIE)
Conference Publications
- M. Gupta and R. Rama Kishore, "A Survey of Watermarking Technique using Deep Neural Network Architecture," 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2021, pp. 630-635, doi: 10.1109/ICCCIS51004.2021.939722
→ International Conference, Publisher: IEEE - M Gupta, Rama Kishore, R. (2022). Secured Blind Image Watermarking Using Entropy Technique in DCT Domain. In: Gupta, D., Khanna, A., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Second Doctoral Symposium on Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1374. Springer, Singapore. https://doi.org/10.1007/978-981-16-3346-1_3
→ Publication in Springer AISC series - Gupta M., Rama Kishore R. (2021) Different Techniques of Image Inpainting. In: Computational Methods and Data Engineering. Advances in Intelligent Systems and Computing, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6876-3_8.
- Megha Gupta, Charul Bhatnagar, A. S. Jalal, "Clothing Image Retrieval Based On Multiple Features for Smarter Shopping", In Proceedings of 6th International Conference on Smart Computing and Communications, ICSCC 2017, 7-8 December 2017, NIT Kurukshetra, India. https://doi.org/10.1016/j.procs.2017.12.020
Professional Distinctions
PhD: Specialization in Digital Image Watermarking.
Exams Qualified: GATE (2012, 2017) and UGC-NET (2019).
Published multiple SCIE/Scopus-indexed papers; holds two patents.
Expertise in Data Structures, Algorithms, and AI.
Coordinated FDPs, conferences (e.g., ICACTRP 2018, International Conference on Emerging Technologies 2023), and Smart India Hackathon (2023).
Awarded "Smart Performer in Academics" (2023).
Proficient in Python, ML, and Digital Image Processing.
