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B.E.(Biotechnology)
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Prof. Poonam Goyal

pilani Computer Science & Information Systems

Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus

Big Data Analytics, Machine Learning and Image/Text retrieval
Room No: 6121-Q, New Academic Building,
Department of Computer Science & Information Systems,
Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.
poonam@pilani.bits-pilani.ac.in
91 1596 515327 (Work)
+91 1596 515405 (Department Office)

Recent Publications

  • Poonam Goyal, Arshveer Kaur, Arvind Ram, and Navneet Goyal, "Efficient representation learning of satellite image time series and their fusion for spatiotemporal applications," in 38th AAAI Conference on Artificial Intelligence (AAAI 2024), (Accepted )
  • Prawaal Sharma, Poonam Goyal, Vidushi Sharma, Navneet Goyal VOLTAGE: A Versatile contrastive learning based OCR methodology for ultra Low-resource scripts Through Auto Glyph feature Extraction 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 Accepted).
  • Arshveer Kaur, Poonam Goyal and Navneet Goyal, "LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications," 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, 2023, pp. 1-10, doi: 10.1109/DSAA60987.2023.10302483.
  • Yash Gupta, Navneet Goyal, V. J. Varghese and Poonam Goyal, "Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data," 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, 2023, pp. 1-10, doi: 10.1109/DSAA60987.2023.10302582.
  • Arshveer Kaur, Poonam Goyal, R Rajhans, L Agarwal and N Goyal, Fusion of multivariate time series meteorological and static soil data for multistage crop yield prediction using attention network and feature selection, Expert Systems with Applications, 2023.
  • Prawaal Sharma, Navneet Goyal, Poonam Goyal, and Vishnupriyan K R, A Fully Automated and Scalable Parallel Data Augmentation for Low Resource Languages Using Image and Text Analytics, 2023, 38th ACM/SIGAPP Symposium On Applied Computing (SAC-2023), Estonia
  • Prawaal Sharma, Navneet Goyal, and Poonam Goyal, Multimodal Semantographic Metalanguage (MSM): A Novel Methodology for Digital Enablement of Semi-literates, 2023, 38th ACM/SIGAPP Symposium On Applied Computing (SAC-2023), Estonia 
  • Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, and Poonam Goyal, AnyStreamKM: Anytime k-medoids Clustering for Streaming Data, 2022, IEEE Conference on Big Data (IEEE BigData-2023), Japan, 844-853
  • Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, and Navneet Goyal, A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction, 2023, IEEE Conference on Big Data (IEEE BigData-2023), Japan, 1272-1279
  • Shaily Bhatt, Poonam Goyal, Sandipan Dandapat, Monojit Choudhury, Sunayana Sitaram, On the Universality of Deep Cognitive Language Models. 18th International Conference on Natural Language Processing, ICON,  (2021)
  • Vikas Hassija, Siddharth Batra, Vinay Chamola, Tanmay Anand, Poonam Goyal, Navneet Goyal, Mohsen Guizani, A blockchain and deep neural networks-based secure framework for enhanced crop protection,  Ad Hoc Network, 2021, 119 
  • Chandramani Chaudhary, Poonam Goyal, Dhanashree N Prasad, Y P Phoebe Chen, "Enhancing the quality of Image Tagging using a Visio-Textual Knowledge Base", In IEEE Transactions on Multimedia (TMM) 2020, 22(4) pp 897-911. DOI: 10.1109/TMM.2019.2937181
  • Poonam Goyal, J S Challa, S Srivastava and N Goyal,  "Anytime Frequent Itemset Mining of Transactional Data Streams",  Big Data Research, 2020 21 (1) pp 100-146, 100146. 
  • Chandramani Chaudhary, Poonam Goyal, Navneet Goyal, Y P Phoebe Chen, "Image Retrieval for Complex Queries Using Knowledge Embedding", ACM Transactions on Multimedia Computing Communications & Applications (TOMM)  2020, 16(1) 1-23
  • Jagat Sesh Challa, Poonam Goyal, Ajinkya Kokandakar, Dhananjay Mantri, Pranet Verma, Sundar Balasubramaniam and Navneet Goyal, "Anytime Clustering of Data Streams while handling Noise and Concept Drift", In Journal of Experimental & Theoretical Artificial Intelligence (TETA), 2021, https://doi.org/10.1080/0952813X.2021.1882001
  • Poonam Goyal, J S Challa, Dhruv Kumar, Anuvind Bhatt, Sundar Balasubramaniam and Navneet Goyal, "Grid-R-Tree: A data structure for efficient neighborhood and nearest neighbor queries in data mining" International Journal of Data Science and Analytics (JDSA), Springer, 2020, 10(1) 25-47 DoI: 10.1007/s41060-020-00208-2
  • S Islam, S Balasubramaniam, S Gupta, S Brajesh, R Badlani, N Labhishetty, A Baid, Poonam Goyal,and Navneet Goyal, "Automatic Parallelization of Representative-based Clustering Algorithms" International Journal of Data Science and Analytics (JDSA), Springer  10 (2), 135-159
  • Poonam Goyal, Prerna Kaushik, Pranjal Gupta, Dev Vashisth, Shavak Agarwal and Navneet Goyal, "
     Multilevel Event Detection, Storyline Generation and Summarization for Tweet Streams", IEEE Transactions Computational Social Systems, (TCSS) 2020, 7(1), pp 8-23, DoI: 10.1109/TCSS.2019.2954116
  • Saiyedul Islam, Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Achal Agarwal, Kirti Singh Rathore, and Nischay Singh, "Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems",  2019 IEEE International Conference on Big Data (Big Data 2019), December 9-12, Los Angeles, USA. 
  • Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal, "A Rapid Prototyping Approach for High Performance Density-Based Clustering", 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), October 5-8, Washington DC, USA.
  • Aditya Sarma A S, Poonam Goyal, Sonal Kumari, Anand Wani, Jagat Sesh Challa, Saiyedul Islam, Navneet Goyal, "MuDBSCAN: An Exact Scalable  DBSCAN Algorithm for Big Data Exploiting Spatial Locality", In 2019 IEEE International Conference on Cluster Computing (IEEE Cluster 2019), Sep 22-26, Albuquerque, USA.
  • Chandramani Chaudhary, Poonam Goyal, Siddhant Tuli, Shuchita Banthia, Navneet Goyal, Yi-Ping Phoebe Chen, "A Novel Multimodal Clustering Framework for Images with Diverse Associated Text", In Multimedia Tools & Applications, vol. 78, no. 13, Springer, 2019. DoI: 10.1007/s11042-018-7131-x
  • Poonam Goyal, Sonal Kumari, Sumit Sharma, Sundar Balasubramaniam, Navneet Goyal, "Parallel SLINK for Big Data", In International Journal of Data Science and Analytics (JDSA), Springer. Vol 9 (2), 2020  pp 8-23. DOI: 10.1007/s41060-019-001884
  • Jagat Sesh Challa, Poonam Goyal, Vijay M Giri, Dhananjay Mantri and Navneet Goyal, "AnySC: Anytime Set-wise Classification of Variable Speed Data Streams", In 2018 IEEE International Conference on Big Data (IEEE Big Data 2018), Seattle, USA
  • Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal and Navneet Goyal, "Pattern based Automatic Parallelization of Representative-based Clustering Algorithms",  5th IEEE International Conference on Data Science & Advanced Analytics (DSAA 2018),Turin, Italy, pp. 99-108.
  • Chandramani Chaudhary, Poonam Goyal, Joel R A Moniz, Navneet Goyal and Yi-Ping Phoebe Chen, “Linguistic pattern and cross modality based image retrieval for complex queries”, ACM International Conference on Multimedia Retrieval (ICMR 2018), Japan, pp. 257-265.
  • N Mehala, Poonam Goyal, D Bhatia, and Navneet Goyal, "Topical Document Clustering: Two Stage Post Processing Technique", In International Journal of Data Mining, Modelling and Management (IJDMMM), 2018 10 (2), pp 127-170.
  • Dhruv Kumar, Poonam Goyal and Navneet Goyal, "An Efficient Method for Batch Updates in OPTICS Cluster Ordering", in International Journal of Data Analysis Techniques and Strategies (IJDATS), 2018, 10(1), pp 57-80.
  • Poonam Goyal, Jagat Sesh Challa, Shivin Srivastava, and Navneet Goyal, "AnyFI: An Anytime Frequent Itemset Mining Algorithm for Data Streams", In 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, Boston, USA, pp. 942-947.
  • Chandramani Chaudhary, Poonam Goyal, and Yi-Ping Phoebe Chen, "Exploiting Visual and Textual Neighborhood Information to Improve Image-Tag Relevance", In 2017 IEEE International Conference on Big Data 2017 (IEEE Big Data 2017), Boston, USA, pp. 266-275.
  • Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Mohit Sati, and Navneet Goyal, "A Domain Specific Language for Clustering", In 13th International Conference on Distributed Computing and Internet Technology (ICDCIT 2017), January 13-16, Bhubaneswar, India, pp. 231-234. (Poster Paper)
  • Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Navneet Goyal, and Sundar Balasubramaniam, “Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms”, In 18th International Conference on Distributing Computing and Networking (ICDCN 2017), January 4-7, Hyderabad, India.
  • Jagat Sesh Challa, Poonam Goyal, Nikhil S., Aditya Mangla, Sundar Balasubramaniam, Navneet Goyal, "DDR-Tree: A dynamic distributed data structure for efficient data distribution among cluster nodes for spatial data mining algorithms", In 4th IEEE International Conference on Big Data (IEEE Big Data 2016), December 5-8, Washington DC, USA, pp. 27-36.
  • Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, and Navneet Goyal, “A fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality,” In 18th International Conference on High Performance Computing and Communications (HPCC 2016), December 12-14, Sydney, Australia, pp. 268-275.
  • Sonal Kumari, Saurabh Maurya, Poonam Goyal, Sundar Balasubramaniam, and Navneet Goyal, “A Parallel and Scalable Shared Nearest Neighbor Algorithm for Big Data,”  In 23rd IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2016), December 19-22, Hyderabad, India, pp. 72-81.
  • Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Saiyedul Islam, and Mohit Sati, "A High Performance Computing Framework for Data Mining", In IEEE International Workshop on Foundations in Big Data Computing (IEEE BigDF 2016) of HiPC 2016, December 19-22, Hyderabad, India, pp.11-18.
  • Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar S Balasubramaniam and Navneet Goyal, "A Parallel Framework for Grid-based Bottom-up Subspace Clustering", In 3rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), October 17-19, Montreal, Canada, pp. 331-340.
  • Poonam Goyal, Sonal Kumari, Sumit Sharma, Vivek Kishore, Navneet Goyal and Sundar S Balasubramaniam, "Spatial Locality Aware, Fast, and Scalable SLINK Algorithm for Commodity Clusters", In 9th IEEE International Conference on Cluster Computing (IEEE Cluster 2016), September 13-15, Taipei, Taiwan, pp. 158-159. (Poster Paper)
  • Sonal Kumari, Anil Maheshwari, Poonam Goyal and Navneet Goyal, "Parallel framework for efficient k-means clustering", In 8th Annual ACM India Conference (ACM Compute 2015), October 29-31, Ghaziabad, India, pp-63-71. (Best Paper Award)
  • Jagat Sesh Challa, Poonam Goyal, Nikhil S., Sundar Balasubramaniam, Navneet Goyal, "A concurrent k-NN search algorithm for R-tree", In 8th Annual ACM India Conference (ACM Compute 2015), October 29-31, Ghaziabad, India, pp-123-128. (Best Poster Paper Award)
  • Poonam Goyal, N. Mehala, and Navneet Goyal, "Incremental Models for Query Clustering and Query-Context Aware Document Clustering", In International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 5, No.2, 2015, pp-146-157.
  • N Mehala, D Bhatia and P Goyal, "An approach for search result topic identification and labelling", In 2nd ACM IKDD Conference on Data Science (CoDS 2015), March 18-21, Bengaluru, India, pp- 130-131.
  • Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam and Jagat Sesh Challa,  "Parallelizing OPTICS for Commodity Clusters", In 16th International Conference on Distributed Computing and Networking (ICDCN 2015), January 4-7 , Goa, India.
  • Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam and Navneet Goyal. "Parallelizing OPTICS for Multicore Systems", In 7th Annual ACM India Conference (ACM Compute 2014), October 9-11, Nagpur, India.
  • Poonam Goyal, N. Mehala, and Ankur Bansal, "A robust approach for finding conceptually related queries using feature selection and tripartite graph structure", In Journal of Information Science (JIS), Vol. 39, No.5 (October 2013), SCI, SAGE, pp. 575-592.
  • Poonam Goyal, N. Mehala, and Dipen Thakkar, "Incremental Model for Query Clustering", In 5th Forum for Information Retrieval Evaluation (FIRE 2012), December 17-19, 2012, Kolkata, India. (Poster)
  • Poonam Goyal and N. Mehala, "Concept based query recommendation", In 9th Australasian Data Mining Conference (AusDM 2011), December 1-2, 2011, Ballarat, Australia, pp. 69-77.
  • Poonam Goyal, Navneet Goyal, Rohan S Karwa and Mathew John, "Phase-wise Clustering of Time Series Gene Expression Data", In 6th International Conference on Frontier of Computer Science and Technology (FCST 2011), November 16-18, 2011, Changsha, China, pp. 1668-1674.
  • Navneet Goyal, Poonam Goyal, Mayank P Mohta, Aman Neelappa, and K Venkatramaiah, "A Multi-purpose Density based Clustering Framework", In 4th International Conference on Contemporary Computing (IC3 2011), Aug 6-8, 2011, Noida, India, pp. 538-540.
  • Poonam Goyal, Navneet Goyal and Rohan Karwa, "Clustering of Time Series Gene Expression Data", In 8th Asia Pacific Bioinformatics Conference (APBC 2010), Jan 18-21, 2010, Bangalore, India. (Poster paper)
  • Poonam Goyal, Navneet Goyal, Ashish Gupta and T S Rahul, "Designing Self-Adaptive Websites using Online Hotlink Assignment Algorithm", In 7th International Conference on Advances in Mobile Computing and Multimedia (ACM MoMM 2009), December 14-16, 2009, Kaula Lampur, Malaysia, pp. 579-583.
  • Navneet Goyal, Poonam Goyal, Venkatramiah K, Deepak P C, and Sanoop P S, "Efficient Density Based Incremental Clustering Algorithm in Data Warehousing Environment",  In International Conference on Knowledge Discovery (ICKD 2009), June 6-8, 2009, Manila, Philippines, pp. 482-486.
  • Poonam Goyal, Navneet Goyal, N. Sriram, "Online Hotlink Assignment Algorithm for Improving Web Access", In International Conference on Web Intelligence Systems (ICWIS 2009), January 8-10, 2009, Chennai, India
  • Poonam Goyal, Navneet Goyal, Ankit Khandelwal and S Raja Babu, "Online Hotlink Assignment Algorithm for Adaptive Websites", In 3rd Indian International Conference on Artificial Intelligence (IICAI 2007), December 17-19, 2007, Pune, India.

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