Prof. Richa Gupta - PROFESSOR

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Prof. Richa Gupta

Biography

Dr. Richa Gupta is a Professor at Jaypee Institute of Information Technology (JIIT), Noida, with over 18 years of academic experience. Richa Gupta received her Ph.D. Degree from JIIT, Noida, India in the year 2013 and M.Tech in Information Systems from IIT, Kanpur, India in 2005. She obtained her B.Tech degree in ECE from KIET, Ghaziabad, India in 2003, with a special acknowledgement for being the University topper of B.R. Ambedkar University, Agra. She is a distinction holder in her entire academic career. Since August 2007, she has been teaching in the Department of Electronics and Communications Engineering, JIIT Noida. Since June 2024, she has been working as a professor in the department. Prior to joining JIIT, she has worked with a USA based research company ‘ATC Labs, Noida’ for 2 years.

Research Highlights

She has published more than 50 research papers in International Journals and presented many in International Conferences. She is a Fellow member of ‘The Institution of Electronics and Telecommunication Engineers (IETE)’, a Life member of ‘The Institution of Engineers, India (IEI)’ and a Life member of ‘Indian Society for Technical Education’. She has been associated with research and development in the field of Multimedia Communications, denoising in Image Processing, Document Image Processing, Variable Length Error Correcting Codes. She has successfully supervised 4 PhD scholars. She is also actively involved in two collaborations: one with Bobble AI industry and another with KFCL, Kanpur.

Areas of Interest

Multimedia Communications
Machine Learning and Deep Learning
Document Image Processing
Variable Length Error Correcting Codes
Reversible Variable Length Codes

Publications

5 International Conference papers

S. Walia, N. Singh, A. Shetty, R. Gupta, A. M. F and R. Prasad, "Exploring the StyleGANEX for Morphing Faces with Indian Ethnicity," 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC), Waknaghat, Solan, India, 2024, pp. 437-442, doi: 10.1109/PDGC64653.2024.10984062.
N. Kapur, R. Gupta, N. Singh and A. Saxena, "Sentiment to Signal: A Comparative Analysis of Neural Models for Emotion Recognition," 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC), Waknaghat, Solan, India, 2024, pp. 443-447, doi: 10.1109/PDGC64653.2024.10984051.
K. Vashist and R. Gupta, "Plant Diseases Detection Optimization with Deep Learning and Data Augmentation," 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC), Waknaghat, Solan, India, 2024, pp. 52-57, doi: 10.1109/PDGC64653.2024.10984418.
S. Soni, K. Garg, R. Gupta, A. Saxena and N. Singh, "Evaluating Deep Learning Approaches for Grammatical Error Correction: A Comparative Study of Seq2Seq Models," 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC), Waknaghat, Solan, India, 2024, pp. 160-163, doi: 10.1109/PDGC64653.2024.10983917.
K. Garg, S. Soni, R. Gupta and N. Singh, "Advancing Grammatical Error Correction for English Text: A Comparative Study of Bahdanau Attention and Multi-Head Attention Models," 2025 10th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2025, pp. 235-240, doi: 10.1109/ICSC64553.2025.10967874.

5 International Journal papers

N. Yasmin and R. Gupta, “Modified Lightweight Cryptography Scheme and its Applications in IoT Environment”, International Journal of Information Technology, 2023 (Springer, Scopus indexed) Link
N. Yasmin, R. Gupta, Modified lightweight GIFT cipher for security enhancement in resource-constrained IoT devices. Int. j. inf. tecnol. (2023) (Springer, Scopus indexed). Link
M. Jha, R. Gupta and R. Saxena, “A Framework For In-Vivo Human Brain Tumor Detection Using Image Augmentation And Hybrid Features,” Health Information Science and Systems, vol. 10, no. 23, pp. 1-12, 2022. Link (Springer IF- 5.017, SCIE indexed).
M. Jha, R. Gupta and R. Saxena, “A framework for in-vivo human brain tumor detection using image augmentation and hybrid features,” Health Information Science and Systems, vol. 10, no. 23, pp. 1-12, 2022. https://doi.org/10.1007/s13755-022-00193-9
M. Bisht and R. Gupta, “Offline handwritten Devanagari modified character recognition using convolutional neural network,” Sādhanā, Springer, vol. 46, no. 1, pp. 1–4, Feb. 2021.