Bio-sketch

Dr. Vandana Bhatia is currently working as an Assistant Professor in the Department of Computer Science & Engineering at NSUT Delhi. She has a demonstrated history of working in the higher education and IT industry. She is Strong research professional with a Doctor of Philosophy focused on Big Data, Machine Learning and Cluster Analysis. She has published many research papers in Journals and International conferences of high repute. She is reviewer of many scientific indexed Journals. Her area of interest includes Big Data Analytics, Machine Learning, Artificial Intelligence, and Computer Vision. 

Areas of Interest

Machine Learning, Computer Vision, Big Data analytics, Deep Learning

Google Scholar Profile

Linkedin Profile

Journal Publication

[1] Bhatia, V., & Rani, R. (2019). A distributed overlapping community detection model for large graphs using autoencoder. Future Generation Computer Systems, 94, 16-26. https://doi.org/10.1016/j.future.2018.10.045. Impact factor: 7.187

[2] Bhatia, V., & Rani, R. (2018). Ap-FSM: A parallel algorithm for approximate frequent subgraph mining using Pregel. Expert Systems with Applications, 106, 217-232. https://doi.org/10.1016/j.eswa.2018.04.010. Impact factor: 6.954

[3] Bhatia, V., & Rani, R. (2018). DFuzzy: A deep learning-based fuzzy clustering model for large graphs. Knowledge and Information Systems, 57(1), 159-181. https://doi.org/10.1007/s10115-018-1156-3. Impact factor: 2.822

[4]. Bhatia, V., & Rani, R.  (2017) “A parallel fuzzy clustering algorithm for large graphs using Pregel,” Expert Syst. Appl., vol. 78, pp. 135–144. https://doi.org/10.1016/j.eswa.2017.02.005. Impact factor: 6.954

[5]. Bhatia, V., & Rani, R. (2018) “PFCA: An influence based parallel fuzzy clustering algorithm for large complex networks,” Expert Syst., vol. 35, no. 6, pp. 1–18, 2018, doi: 10.1111/exsy.12295. Impact factor: 2.587

Conference Publications

[1] V. Bhatia and R. Rani, “An Efficient Algorithm for Sampling of a Single Large Graph,” in the Proceedings of 10th International Conference on Contemporary Computing ( IC3), 2017, pp. 1–7.

[2] V. Bhatia and R. Rani, “An Efficient Algorithm for Sampling of a Single Large Graph,” in the Proceedings of 10th IEEE International Conference on Contemporary Computing, 2017, pp. 1–7.

[3] V. Bhatia and R. Rani, “An Efficient Influence based Label Propagation Algorithm for Clustering Large Graphs,” in the Proceedings of IEEE Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions), 2017, pp. 1–6.

[4] V. Bhatia, P. Ranjan, and M. R. Tripathy, “Deep Learning Explorations in Wireless Channel Encoders,” 2019 Photonics Electromagn. Res. Symp. - Fall (PIERS - Fall), pp. 2806–2811, Dec. 2019, doi: 10.1109/PIERS-Fall48861.2019.9021659.

[5] V. Bhatia, B. Saneja, and R. Rani, “INGC: Graph Clustering & Outlier Detection Algorithm Using Label Propagation,” 2017 Int. Conf. Mach. Learn. Data Sci., pp. 68–74, Dec. 2017, doi: 10.1109/MLDS.2017.14.

[6] R. S. Chugh, V. Bhatia, K. Khanna, and V. Bhatia, “A Comparative Analysis of Classifiers for Image Classification,” 2020 10th Int. Conf. Cloud Comput. Data Sci. Eng., pp. 248–253, Jan. 2020, doi: 10.1109/Confluence47617.2020.9058042.

[7] V. Bhatia and A. Jangra, “SETiNS: Storage efficiency techniques in No-SQL database for Cloud based design,” in 2014 International Conference on Advances in Engineering \& Technology Research (ICAETR-2014), 2014, pp. 1–5.

[8] V. Bhatia, B. Saneja, and R. Rani, “INGC:: Graph Clustering & Outlier Detection Algorithm Using Label Propagation,” in 2017 International Conference on Machine learning and Data Science INGC:, 2017, pp. 68–74, doi: 10.1109/MLDS.2017.14.

[9] Bhatia, V. (2020, November). A review of Machine Learning based Recommendation approaches for cricket. In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 421-427). IEEE.

[10] Chauhan, A., & Bhatia, V. (2020, November). Cricket Activity Detection Using Computer Vision. In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 428-433). IEEE.

Book Chapters

[1] Bhatia, Vandana, et al. "Early and Precision-Oriented Detection of Cervical Cancer: A Deep-Learning-Based Framework." Big Data and Artificial Intelligence for Healthcare Applications. CRC Press, 2021. 151-164.

[2] Rani, Rinkle, Vandana Bhatia, and Himanshu Aggarwal. "Big Data Analytics and Hadoop: An Aspiring Expedition for e-Governance Sublimity." The Stances of e-GovernmentPolicies. Chapman and Hall/CRC, 2018. 117-130.