Faculty at School of Engineering

Dolly Sharma

Dolly Sharma

Professor

School of Engineering


Contact Information

  • Research Interests: Algorithms, Parallel processing, Social network analysis, Computational biology, and Bioinformatics.
  • Teaching Interests: Design and Analysis of Algorithms, Bioinformatics Algorithms, Algorithms for Big Data, and Social and Information Networks.

Ph.D., Computer Science and Engineering University of Connecticut, Connecticut, USA, 2010.

  • 07/19-Present, Associate Professor, Department of Computer Science and Engineering, School of Engineering, Shiv Nadar University, Delhi-NCR.
  • 07/15-06/19, Assistant Professor, Department of Computer Science and Engineering, School of Engineering, Shiv Nadar University, Delhi-NCR.
  • 12/10-06/15, Assistant Professor, Amity University, Noida.

Taylor L. Booth Memorial Scholarship for her excellence in teaching at University of Connecticut, 2009.

  1. Kumar, P., Sharma, D., Jain, S., Kuppuswamy, P.; “Current flow centrality based link prediction in unipartite and bipartite complex networks”, Journal of Complex Networks, 2026.
  2. Bansal, M., Sharma, D.; “Statistical methods utilizing structural properties of time-evolving networks for event detection”, Data Mining and Knowledge Discovery, 2024 [5 year Impact Factor: 5.3].
  3. Bansal, M., Sharma, D.; “Density-based Structural Embedding for Anomaly Detection in Dynamic Networks”, Neurocomputing, 2022 [Impact Factor: 5.5].
  4. Bansal, M., Sharma, D.; “A novel multi-view clustering approach via proximity-based factorization targeting structural maintenance and sparsity challenges for text and image categorization”, Information Processing and Management, 2021 [Impact Factor: 7.4].
  5. Kumar, P., Sharma, D.; “A novel similarity measure for the link prediction in unipartite and bipartite networks”, Social Network Analysis and Mining, 2021 [5 year Impact Factor: 2.5].
  6. Kumar, P., Sharma, D.; “A potential energy and mutual information based link prediction approach for bipartite networks”, Scientific Reports, 2020 [2 year Impact Factor: 3.8].
  7. Sharma, D.; Kumar, R.; Gupta, M.; Saxena, T.; “Encoding Scheme for Data storage and retrieval on DNA Computers”, IET Nanobiotechnology, 2020 [Impact Factor (2020): 1.84].
  8. Challagulla, N.V.; Rohatgi, V.; Sharma, D.; Kumar, R. “Recent Developments of Nanomaterial Applications in Additive Manufacturing: A Brief Review”, Current Opinion in Chemical Engineering, 2020, 28, 75-82 [Impact Factor: 8.0].
  9. Malik, S., Sharma, D., Khatri, S.K., “Reconstructing Phylogenetic tree using a protein-protein interaction technique”, IET Nanobiotechnology, 2017, 11(8), 1005-1016 [Impact Factor (2020): 1.84].
  10. Malik, S., Sharma, D., Khatri, S.K., “Parallel implementation of D-Phylo Algorithm for Maximum Likelihood Clusters”, IET Nanobiotechnology, 2016, 11(2), 134-142 [Impact Factor (2020): 1.84].
  11. Sharma, U., Sharma, D., Khatri, S.K., “Elimination based algorithm for Link Prediction on Social Networks”, International Journal of System Assurance Engineering and Management, Springer, 2014, 6, 78-82 [5 year Impact Factor: 1.7].
  12. Sharma, D. and Rajasekaran, S., “An Experimental Comparison of PMSprune and Other Algorithms for Motif Search”, International Journal of Bioinformatics Research and Applications, Inderscience Publishers, 2014, 10(6), 559-573.
  13. Rajasekaran, S.; Fiondella, S.; Sharma, D.; Ammar, R.A.; Lownes, N.; “Communication and energy efficient routing protocols for single hop networks”, Journal of Parallel and Distributed Computing, Elsevier, 2012, 72(6), 819-826 [Impact Factor: 3.4].
  14. Lownes, N.E.; Wang, Q.; Ibrahim, S.; Ammar, R.A.; Rajasekaran, S.; Sharma, D., “Many-to-Many Game-Theoretic approach for measurement of Transportation network vulnerability”, Transportation Research Record: Journal of the Transportation Research Board, 2011, 2263(1), 1-8 [Impact Factor: 1.9].

  1. Sharma, D.; Kumar, R.; “Smart Aquaculture: Integration of Sensors, Biosensors, and Artificial Intelligence,” Biosensors in Agriculture: Recent Trends and Future Perspectives, 2020, Springer Publication.
  2. Bandyopadhyay, S.; Sharma, D.; Ammar, R.A.; Rajasekaran, S.; Sahni, S.; “Sorting on Cell Broadband Engine,” Multicore Computing: Algorithms, Architectures, and Applications, 2013, Taylor and Francis.

  1. Katiyar, P., Babu, N., Sharma, D.; “Edge-Guided Transfer Learning Model for Hast Mudra Classification”, International Conference on Pattern Recognition and Machine Intelligence, 2026.
  2. Sharma, D.; Khetarpaul, S.; Verma, C.; Jain, P., "Combining GraphSAGE and Label Propagation for Node Classification in Graphs", International Conference on Information Integration and Web Intelligence, 2025.
  3. Khetarpaul, S.; Sharma, D.; Sinha, S., Nagpal, A.; Narang, A., “Analyzing the Efficacy of Large Language Models: A Comparative Study”, International Conference on Database and Expert Systems Applications, 2024.
  4. Ananta, I.; Khetarpaul, S.; Sharma, D., “Symptoms-Disease Detecting Conversation Agent using Knowledge Graphs”, Proceedings of the 2024 Australasian Computer Science Week, 2024.
  5. Sharma, D., Khetarpaul, S., Tiwari, S., Aakash, L. and Gupta, A.; “Predicting Epidemic Outbreak using Climatic factors”, 16th Asian Conference on Intelligent Information and Database Systems 2024, Ras-Al-Khaimah, UAE.
  6. Khetarpaul, S.; Sharma, D.; Mishra, S.; Sud, S.; Soni, P., “Location-Based Ideal Site Selection using Clustering”, IEEE International Conference on Contemporary Computing and Communications, 2024, March 2024.
  7. Khetarpaul, S.; Sharma, D.; Sinha, S.; Nagpal, A.; Narang, A., "Analyzing the Efficacy of Large Language Models: A Comparative Study", The 35th International Conference on Database and Expert Systems Applications (DEXA 2024).
  8. Khetarpaul, S., Sharma, D., Padhi, S.R., and Mishra, S.; "Enhancing Taxi Placement in Urban Areas Using Dominating Set Algorithm with Node and Edge Weights." In International Conference on Information Integration and Web Intelligence, pp. 325-338, December 2023.
  9. Sharma, D.; Khetarpaul, S.; S, MK; Parthasarathy, A.; Agarwalla, S., “Performance Prediction of Songs on Online Music Platforms”, Australasian Database Conference, 2022.
  10. Khetarpaul, S.; Sharma, D.; Jose, JI; Saragur, M., “Real-Time Detection and Visualization of Traffic Conditions by Mining Twitter Data”, Australasian Database Conference, 2022.
  11. Kumar, P.; Sharma, D., “Vertex entropy based link prediction in unweighted and weighted complex networks”, The 10th International Conference on Complex Networks and their applications, 2022.
  12. Bansal, M.; Sharma, D., “Event Detection in Edge Streams of Time-Evolving Graphs”, 20th International Conference on Information & Knowledge Engineering, 2021.
  13. Kumar, P.; Sharma, D., “Link Prediction in Unipartite and Bipartite Networks Influenced by Six Degrees of Separation”, 17th International Conference on Data Science, 2021.
  14. Mohith, S.; Jose, J.; Khetarpaul, S.; Sharma, D.; “Analyzing Tweets to Understand Factors Affecting Opinion on Climate Change”, Australasian Database Conference, 2021.
  15. Khetarpaul, S.; Sharma, D.; Gupta, M.; Gautam, V., “Real Time Analysis of Offensive Texts to prevent Cyberbullying”, Australasian Database Conference, 2021.
  16. Bansal, M.; Sharma, D. “Ranking and Discovering Anomalous Neighborhoods in Attributed Multiplex Networks”, CODS-COMAD 2020.
  17. Sharma, D.; Prerna; Kumar, R., “Emergency Management using Social Networks”, IEEE TENCON 2019.
  18. Gupta, N.; Narain, A.; Arora, A.; Sharma, D., “Correlating Centralities in Social Networks”, IEEE ANTS, 2016.
  19. Malik, S.; Sharma, D., “Analysing the genetic diversity of commonly occurring diseases”, CSI 2015.
  20. Ruchika; Singh, A.V.; Sharma, D., “Evaluation Criteria for measuring the performance of Recommender System”, IEEE ICRITO 2015.
  21. Rai, A.; Sharma, D., “Bring Your Own Device by Indian companies”, IEEE ICRITO 2015.
  22. Kumar, A.; Sharma, D. “Identifying Influential Hub nodes in online Social Networks”, IEEE ICRITO 2015.
  23. Malik, S.; Sharma, D., “Detecting History of Species using Mining of Motifs in Phylogenetic Networks”, ACM ICTCS, 2014.
  24. Sharma, D.; Sharma, U., “Link Prediction Algorithm for Co-Authorship Networks using Neural Networks”, IEEE ICRITO, 2014.
  25. Sharma, D.; Sharma, U., “An experimental comparison of the Link Prediction techniques in social networks”, IEEE ICRITO 2013, International Journal of Modelling and Optimization, 2014.
  26. Malik, S.; Sharma, D., “Reconstructing Phylogenetic Network with ReTF algorithm”, IEEE BIBE 2013.
  27. Sharma, D.; Malik, S., “Reconstructing Phylogenetic Networks with Recombinations: A Survey", ICRITO, 2013.
  28. Lownes, N.E.; Wang, Q.; Ibrahim, S.; Ammar, R.A.; Rajasekaran, S.; Lownes, N.E.; Wang, Q.; Sharma, D., “An efficient heuristic for estimating transportation network vulnerability”, IEEE ISCC, 2011.
  29. Lownes, N.E.; Wang, Q.; Ibrahim, S.; Ammar, R.A.; Rajasekaran, S.; Sharma, D., “A Many-to-Many game theoretic approach to measuring transportation network vulnerability”, Transportation Research Board Annual Meeting, 2011.
  30. Sharma, D.; Rajasekaran, S.; Ammar, R.; Lownes, N.; Ibrahim, S., “Multi-level Sensor Deployment Algorithm for Wireless Sensor Networks”, IEEE Advanced Computing and Communications Conference, 2010.
  31. Rajasekaran, S.; Sharma, D.; Ammar, R.; Lownes, N., “Efficient Randomized Protocols for Single-Hop Radio Networks”, ICPP 2010.
  32. Sharma, D.; Rajasekaran, S.; Balla, S., “Degenerate Primer Selection Algorithms”, CIBCB 2009.
  33. Sharma, D.; Rajasekaran, S., “A Simple Algorithm for (l, d) Motif Search”, CIBCB 2009.
  34. Sharma, D.; Thapar, V.; Rajasekaran, S.; Ammar, R.; Ahmed, M., “Efficient sorting algorithms for the cell broadband engine”, ISCC 2008.