JIIT

Academic Experts

Dr. Rajshree Singh

ASSISTANT PROFESSOR(GRADE I)

rajshree.singh@jiit.ac.in

Biography

Dr. Rajshree Singh is presently serving as an Assistant Professor (Grade I) in the Department of Computer Applications at Jaypee Institute of Information Technology (JIIT), Noida. She was awarded her Ph.D. in Computer Applications by Babu Banarasi Das University (BBDU), Lucknow, in 2025. Her academic credentials also include a Master of Computer Applications (MCA) from Banasthali Vidyapith, Rajasthan, and a Bachelor of Computer Applications (BCA).

Prior to her academic tenure, Dr. Singh was associated with Aricent Technologies, Gurgaon (now Capgemini) as a Software Developer, where she played an instrumental role in the design and seamless integration of GoPro Camera systems with the GoPro Android Application, now popularly known as GoPro Quik.

In addition to her teaching responsibilities, she has been actively engaged in various academic capacities, including roles as a Subject Matter Expert and Academic Research Associate. Her experience spans academic writing, curriculum design, and workshops across pivotal domains such as Java programming, Machine Learning, and intelligent systems.

Dr. Singh's professional trajectory exemplifies a well-rounded confluence of industry proficiency, pedagogical dedication, and scholarly engagement, contributing meaningfully to both technological innovation and academic excellence.

Research Highlights

Dr. Rajshree Singh’s research is primarily centered on text classification and contextual text analysis, with a particular emphasis on detecting online threats manifested through hate speech, abusive language, and sarcasm. Her doctoral work at Babu Banarasi Das University (BBDU) focused on developing intelligent systems capable of interpreting nuanced human expressions in digital communication, especially within code-mixed short texts commonly found on social media platforms.

Her thesis addressed the challenges posed by slang, informal expressions, and linguistic variability, proposing novel feature engineering techniques that uncover latent semantics in unstructured and noisy textual data. A key contribution of her work lies in enhancing machine learning models to comprehend the underlying intent and sentiment in user-generated content, particularly in multilingual and code-mixed environments.

Dr. Singh has published her research in Scopus and IEEE-indexed journals and conferences. Her work seeks to bridge the gap between colloquial digital language and formal computational models, enabling machine learning algorithms to better capture user context and intention in real-time social interactions.

Publications

S. Rajshree and S. Reena, "Text Classification on Sarcasm Detection Using Deep Learning/Machine Learning: Survey," Stochastic Modeling and Applications, vol. 26, no. 3, pp. –, 2022.
S. Rajshree and S. Reena, "A Novel Balancing Technique with TF-IDF Matrix for Short Text Classification to Detect Sarcasm," International Journal of Mechanical Engineering, vol. 7, Special Issue, pp. –, 2022
S. Rajshree and S. Reena, "Extracting Contextual Feature from Hinglish Short Text by Handling Spelling Variation," International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 6s, pp. –, 2023.
S. Rajshree and S. Reena, "Balancing Sarcastic Hinglish Short Text Data Using Augmentation Techniques," Journal of Electrical Systems, vol. 20, no. 7s, pp. –, 2024.
H. Vig, S. Rajshree, H. Shaikh Abdul, J. Juhi, and K. Ashok, "Gender and Age Classification Enabled Blockchain Security Mechanism for Assisting Mobile Application," in Proc. 5th Int. Conf. Contemporary Computing and Informatics (IC3I), 2022.