Dr. Shalini is an Assistant Professor in the Department of Computer Science and Engineering at Shiv Nadar University, Chennai. Her research focuses on data privacy, privacy preserving pattern mining, Natural Language Processing, Large Language Models, and Computational Social Science. She has received her Ph.D. from the Department of Computer Science, IIT Roorkee where she worked on developing the heuristics and metaheuristics-based sensitive frequent itemset hiding algorithms. During Ph.D., She secured SERB-Overseas Visiting Doctoral Fellowship (OVDF) by DST and worked as Vising scholar at Purdue University, US. Before joining SNU, She was working as postdoctoral research fellow at University of Surrey, UK for a EPSRC funded project aimed to develop adaptive privacy enhancing techniques to Protect & Empower people.

Work Experience

• 12/2022 – 09/2025 Research Scholar, University of Surrey, Guildford, UK
• 06/2017 – 12/2017 Assistant Professor, NIIT University, Neemrana, Rajasthan, India

Publications

International Conference Publications

1. Protecting Vulnerable Voices: Synthetic Dataset Generation for Self-Disclosure Detection.” In International Conference on Advances in Social Networks Analysis and Mining, pp. 3-18. Cham: Springer Nature Switzerland, 2025.
2. Understanding the Complexities of Responsibly Sharing NSFW Content Online, The 20th International AAAI Conference on Web and Social Media-Understanding the World Through the Web. Los Angeles, CA, USA 2026.
3. Unpacking the Layers: Exploring Self-Disclosure Norms, Engagement Dynamics, and Privacy Implications, In The First International Workshop on Transformative Insights in Multi-faceted Evaluation, The Web Conference 2025.
4. Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability, In 2020 IEEE International Conference on Big Data (Big Data), pp. 4026-4035. IEEE, 2020.
5. A Heuristic Approach for Sensitive Pattern Hiding with Improved Data Quality, in 8th International workshop on “New Frontiers in Mining Complex Patterns in conjunction with ECML/PKDD-19, Wurzburg, Germany, Sept 2019.
6. A PSO Inspired Algorithm to Improve Privacy of Business Sensitive Patterns, in “The 1st Workshop on Artificial Intelligence for Business Security (AIBS)”: 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macau, China, Aug 2019.
7. A frequent itemset reduction algorithm for global pattern mining on distributed data streams, in Tenth International Conference on Contemporary Computing (IC3), IEEE, 2017.
8. A Comparative Analysis of Frequent Pattern Mining Algorithms Used for Streaming Data, in International Conference on Computing, Communication and Automation (ICCCA), IEEE, 2017

Book Chapter

1. Biases and Ethical Considerations for Machine Learning Pipelines in the Computational Social Sciences. In Ethics in Artificial Intelligence: Bias, Fairness and Beyond (pp. 99-113). Singapore: Springer Nature Singapore, 2023.

Journal Publications

1. Statistical Limitations of Sensitive Pattern Hiding Techniques, Journal of Applied Intelligence, 53(20), pp.24275-24292, 2023, Springer. (SCI, Impact Factor= 3.5)
2. Efficient algorithms for victim item selection in privacy-preserving utility mining, Journal of Future Generation Computer Systems 128 pp.219-234, 2021, Elsevier, (SCI, Impact Factor= 6.1)
3. VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets, Journal of Information Processing & Management 57, no. 5, 102255, 2020, Elsevier, (SCI, Impact Factor: 6.9).

Awards

Travel Awards and Scholarships

1. Microsoft Research (MSR) travel grant for poster presentation at IJCAI-19.
2. Travel grant from IJCAI organization and its Artificial Intelligence Journal (AIJ)
   Division for presenting a research paper at IJCAI-19 in Macau, China.
3. Travel Support by the office of the Dean of Resources and Alumni Affairs Indian
   Institute of Technology Roorkee for presenting the research paper at ECML/PKDD19.
4. CSIR Travel grant for attending ECML/PKDD-19 held at Wurzburg, Germany.

Achievements

1. Selected for SERB-OVDF fellowship to work as an Overseas Visiting Doctoral fellow for one year in the Department of Computer Science at Purdue University
2. UGC NET-JRF Qualified
3. GATE-2015 qualified with SCORE- 645 and AIR-1215

Area of Research

• Data Mining
• Natural Language Processing
• Data Privacy
• Soft Computing
• Computational Social Science

Links

• Google Scholar: https://scholar.google.com/citations?user=pP_JERIAAAAJ&hl=en&oi=ao
• LinkedIn: https://www.linkedin.com/in/shalini-jangra-67352b70