Dr. Jyoti Godara is an Associate Professor in the School of Computer Science & Engineering at IILM University, Gurugram, with over 13 years of experience in teaching, research, academic administration, and student mentoring. Her research interests include machine learning, sentiment analysis, natural language processing, and data analytics. She has published research papers in reputed SCI and Scopus-indexed journals and conference proceedings. She actively contributes to research, academic excellence, and student development.

Educational Qualification 

• Ph.D., CSE Lovely Professional University, Phagwara, Punjab (2022)
  – Topic: An ensemble classifier for sarcasm detection using social networking data (Part Time)
• M.Tech CSE, Guru Jambheshwar University of Science & Technology, Hisar, Haryana (2012) (1st Division)
• B.Tech CSE, Guru Jambheshwar University of Science & Technology, Hisar, Haryana (2010) (1st Division)

Research and Scholarly Publication

SCOPUS PUBLICATION

• Godara, J., & Singh, S. (2025). Machine Learning Ensembles for Analyzing Textual Data. In Intelligent Systems Using Semiconductors for Robotics and IoT (pp. 105–110).
• Singh, S., Bajwa, M. S., & Godara, J. (2025). Cache Technique for Mobile Adhoc Networks with Internet Access. In Intelligent Systems Using Semiconductors for Robotics and IoT (pp. 223–228).
• Srivastava, S., Bhatia, S., Agrawal, A. P., Jayswal, A. K., Godara, J., & Dubey, G. (2025). Deep adaptive fusion with cross-modality feature transition and modality quaternion learning for medical image fusion. Evolving Systems, 16(1), 17.
• Godara, J., Batra, I., Aron, R., & Shabaz, M. (2021). Ensemble classification approach for sarcasm detection. Behavioral Neurology, 2021.
• Godara, J., Aron, R., & Shabaz, M. (2021). Sentiment analysis and sarcasm detection from social network to train health-care professionals. World Journal of Engineering.
• Choudhary, S., & Godara, J. (2021, December). Semantic Analysis on Social Media. In 2021 International Conference on Computing Sciences (ICCS) (pp. 239–243). IEEE.
• Godara, J., & Aron, R. (2021). Sarcasm Detection on Social Network: A Review. Annals of the Romanian Society for Cell Biology, 25(6), 3761–3771.
• Godara, J., & Aron, R. (2021, March). Support Vector Machine Classifier with Principal Component Analysis and K Mean for Sarcasm Detection. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 571–576). IEEE.
• Godara, J., & Aron, R. (2021). An Approach to Detect Sarcasm in Tweets. In Data Analytics and Management (pp. 41–50). Springer, Singapore.

UGC CARE LIST PUBLICATION

•  Godara, J., & Aron, R. (2019). Analysis of Classification Based Sentiment Analysis Techniques. Think India Journal, (Vol. 22, pp. 851-857), 0971-1260.
• Poonia, R., & Godara, J. (2019). Antecedents and Effects of Customer Delight for E- Commerce Website. Think India Journal, (Vol. 22, pp. 837-850 ), 0971-1260.

OTHER PUBLICATIONS

• Jyoti Godara, Rajni Aron, “A REVIEW ON OPINION MINING”, IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 4, Page No pp.712-715, October-2018.
• Jyoti Godara, Rajesh Poonia, “BIG DATA ANALYTICS: A REVIEW”, IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 4, Page No pp.933-937, December 2018.
• Sharma, S., & Godara, J. (2016). Load balancing in cloud computing. International Journal of Computer Systems, 3(4), 322-326.
• Sharma, S., & Godara, J. (2015). Enhancement in K-mean Clustering to Analyze Software Architecture using Normalization. International Journal of Computer Applications, 120(6).
• Sharma, S., & Godara, J. (2015). Review paper on cloud computing. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 4, 58-61.
• Shilpa Sharma, J.G. 2014. Search Engine –A Demanding Advertising Tool. International Journal of Engineering and Computer Science. 3, 09 (Sep. 2014).
• Singh, J., & Godara, J. (2012). Information Retrieval using Page Relevancy. International journal of Computer Science & Communication, 3(2), 29-31.