2024

• Poonam Goyal, Arshveer Kaur, Arvind Ram, and Navneet Goyal "Efficient representation learning of satellite image time series and their fusion for spatiotemporal applications," 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)

2023

• Aarti, JS Challa, U Darolia, M Chandak, Poonam Goyal, Navneet Goyal An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams 2023 IEEE International Conference on Big Data (IEEE BigData), 568-577
• 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.
• Asma Rani, Navneet Goyal, Shashi K. Gadia: Provenance Framework for Multi-Depth Querying Using Zero-Information Loss Database.Int. J. Inf. Technol. Decis. Mak. 22(5): 1693-1742 (2023)
• Arshveer Kaur, Poonam Goyal, Rohit Rajhans, Lakshya Agarwal, & Navneet 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 (Elsevier). Accepted.
• Prawaal Sharma, Navneet Goyal, Poonam Goyal, Vishnupriyan K R A Fully Automated and Scalable Parallel Data Augmentation for Low Resource Languages Using Image and Text Analytics 38th ACM/SIGAPP Symposium on Applied Computing, Tallinn. Estonia (March 2023) Accepted
• Prawaal Sharma, Navneet Goyal, Poonam Goyal Multimodal Semantographic Metalanguage (MSM): A Novel Methodology for Digital Enablement of Semi-literates 38th ACM/SIGAPP Symposium on Applied Computing, Tallinn. Estonia (March 2023) Accepted

2022



• A Rani, N Goyal, SK Gadia Social data provenance framework based on zero-information loss graph database Social Network Analysis and Mining 12 (1), 72. (2022)
• A Kaur, P Goyal, K Sharma, L Sharma, N Goyal A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction 2022 IEEE International Conference on Big Data (Big Data), 1272-1279 (2022)
• JS Challa, D Rawat, N Goyal, P Goyal AnyStreamKM: Anytime k-medoids Clustering for Streaming Data IEEE International Conference on Big Data (Big Data), 844-853 (2022)
• Asma Rani, Navneet Goyal, Shashi K. Gadia: Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database. Int. J. Data Sci. Anal. 14(1): 65-87 (2022)
• Jagat Sesh Challa, Poonam Goyal, Ajinkya Kokandakar, Dhananjay Mantri, Pranet Verma, Sundar Balasubramaniam, Navneet Goyal: Anytime clustering of data streams while handling noise and concept drift. J. Exp. Theor. Artif. Intell. 34(3): 399-429 (2022)
• A. K. Singh, Navneet Goyal: Android Web Security Solution using Cross-device Federated Learning. COMSNETS 2022: 473-481
• A Rani, N Goyal, SK Gadia Provenance Framework for Multi-Depth Querying Using Zero-Information Loss Database International Journal of Information Technology & Decision Making, 1-50 (2022)

2021



• Asma Rani, Navneet Goyal, Shashi K Gadia Provenance Framework for Twitter Data using Zero Information Loss Graph Database, ACM Conf. of Data Science and Management of Data 2021 (CODS-COMAD 2021).
• Asma Rani, Navneet Goyal, Shashi K Gadia Twitter Data Modelling and Provenance Support for Key-Value Pair Databases, Australasian Database Conference 2021 (ADC 2021)
• AK Singh, N Goyal, Detection of Malicious Webpages Using Deep Learning 2021 IEEE International Conference on Big Data (BigData), 3370-3379 (2021)
• P Sharma, N Goyal Zero-shot reductive paraphrasing for digitally semi literate Forum for Information Retrieval Evaluation (FIRE 2021), 91-98 (2021)
• P Sharma, N Goyal, MR Vinay Semi-literate Texting (SLT): Survey based text message dataset from digitally semi-literate users in India Data in Brief 38, 1073291 (2021)
• V Hassija, S Batra, V Chamola, T Anand, P Goyal, N Goyal, M Guizani A blockchain and deep neural networks-based secure framework for enhanced crop protection Ad Hoc Networks 119, 10253 (2021)

2020



• AK Singh, N Goyal Understanding and mitigating threats from android hybrid apps using machine learning IEEE International Conference on Big Data (Big Data), 1-9 (2020)
• P Goyal, JS Challa, S Shrivastava, N Goyal Anytime frequent itemset mining of transactional data streams Big Data Research 21, 100146
• Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal: Automatic parallelization of representative-based clustering algorithms for multicore cluster systems. Int. J. Data Sci. Anal. (Springer) 10(2): 135-159 (2020)
• Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining. Int. J. Data Sci. Anal. (Springer) 10(1): 25-47 (2020)
• Poonam Goyal, Sonal Kumari, Sumit Sharma, Sundar Balasubramaniam, Navneet Goyal: Parallel SLINK for big data. Int. J. Data Sci. Anal. (Springer) 9(3): 339-359 (2020)
• Chandramani Chaudhary, Poonam Goyal, Navneet Goyal, Yi-Ping Phoebe Chen: Image Retrieval for Complex Queries Using Knowledge Embedding. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 13:1-13:23 (2020)
• Poonam Goyal, Prerna K, Pranjal Gupta, Dev Vashisth, Shavak Agarwal, Navneet Goyal: Multilevel Event Detection, Storyline Generation, and Summarization for Tweet Streams. IEEE Trans. Comput. Soc. Syst. 7(1): 8-23 (2020)

2019



• C Chaudhary., Poonam Goyal., S Tuli., S Banthia., N Goyal., YP Phoebe Chen A novel multimodal clustering framework for images with diverse associated text Multimedia Tools and Applications, Vol. 78(13) pp. (2019)
• Saiyedul Islam, Sundar B, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal A Rapid Prototyping Approach for High Performance Density-Based Clustering", 2019 International Conference on Data Science and Advanced Analytics (IEEE/ACM/ASA 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 Int. Conference on Cluster Computing (IEEE Cluster 2019), Sep 22-26, Albuquerque, USA.

2018



• Jagat Sesh Challa, Poonam Goyal, Vijay M. Giri, Dhananjay Mantri, Navneet Goyal: AnySC: Anytime Set-wise Classification of Variable Speed Data Streams. IEEE BigData 2018: 967-974
• Meduri Avadesh, Navneet Goyal Optical Character Recognition for Sanskrit Using Convolution Neural Networks. DAS 2018: 447-452
• Saiyedul Islam, Sundar B, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms IEEE/ACM/ASA DSAA 2018: 99-108
• Chandramani Chaudhary, Poonam Goyal, Joel Ruben Antony Moniz, Navneet Goyal, Yi-Ping Phoebe Chen: Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries ICMR 2018: 257-265
• D Kumar, P Goyal, N Goyal An efficient method for batch updates in OPTICS cluster ordering International Journal of Data Analysis Techniques and Strategies 10 (1), 57-80
• Topical document clustering: two-stage post processing technique P Goyal, N Mehala, D Bhatia, N Goyal International Journal of Data Mining, Modelling and Management 10 (2), 127-170

2017



• P Goyal, JS Challa, S Shrivastava, N Goyal AnyFI: an anytime frequent itemset mining algorithm for data streams 2017 IEEE International Conference on Big Data (Big Data), 942-947 (2017)
• A K Singh and Navneet Goyal, A Crawler for Seeking and Crawling Malicious Websites 13th International Conference on Distributed Computing and Internet Technology (ICDCIT 2017), January 13-16, Bhubaneswar, India
• Saiyedul Islam, Sundar B, Poonam Goyal, Mohit Sati, and Navneet Goyal A Domain Specific Language for Clustering 13th International Conference on Distributed Computing and Internet Technology (ICDCIT 2017), January 13-16, Bhubaneswar, India
• Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Navneet Goyal, & Sundar B Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms 18th International Conference on Distributing Computing and Networking (ICDCN 2017), January 4-7, Hyderabad, India

2016



• Asma Rani, Navneet Goyal, and Shashi K Gadia, Efficient Multi-depth Querying on Provenance of Relational Queries Using Graph Database 9th ACM Compute ‘16, October 2016, Gandhinagar, India
• Jagat Sesh Challa, Poonam Goyal, Nikhil S., Aditya Mangla, Sundar B, & Navneet Goyal, DDR-Tree: A dynamic distributed data structure for efficient data distribution among cluster nodes for spatial data mining algorithms IEEE International Conference on Big Data (IEEE Big Data 2016), December 5-8, 2016, Washington DC, USA.
• 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 18th International Conference on High Performance Computing and Communications (HPCC 2016), December 12-14, Sydney, Australia.
• Sonal Kumari, Saurabh Maurya, Poonam Goyal, Sundar Balasubramaniam, and Navneet Goyal, “A Parallel and Scalable Shared Nearest Neighbor Algorithm for Big Data,” 23rd IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2016), December 19-22, Hyderabad, India.
• Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Saiyedul Islam, and Mohit Sati, “A High Performance Computing Framework for Data Mining”. IEEE International Workshop on Foundations in Big Data Computing (HiPCW 2016), December 19-22, Hyderabad, India.
• Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar B and Navneet Goyal, “A Parallel Framework for Grid-based Bottom-up Subspace Clustering”, 03rd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2016), October 17-19, Montreal, Canada.
• Poonam Goyal, Sonal Kumari, Sumit Sharma, Vivek Kishore, Navneet Goyal and Sundar B Spatial Locality Aware, Fast, and Scalable SLINK Algorithm for Commodity Clusters”, IEEE Cluster 2016, September 13-15, Taipei, Taiwan. (Poster Paper)

2015



• Sonal Kumari, Anil Maheshwari, Poonam Goyal, and Navneet Goyal. “Parallel framework for efficient k-means clustering”. In 8th ACM Compute ‘15, October 2015, Ghaziabad, India. (Best Paper Award)
• Asma Rani, Navneet Goyal, and Shashi K Gadia, Data Provenance for Historical Queries in Relational Database 8th ACM Compute ‘15, October 2015, Ghaziabad, India
• Jagat Sesh Challa, Poonam Goyal, Nikhil S., Sundar B, Navneet Goyal A concurrent k-NN search algorithm for R-tree 8th ACM Compute ‘15, October 2015, Ghaziabad, India. (Best Poster Paper Award)
• Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar B, Navneet Goyal, Saiyedul Islam, & Jagat Sesh Challa. Parallelizing OPTICS for Commodity Clusters. International Conference on Distributed Computing and Networking (ICDCN ‘15), January 2015, Goa, India.
• Poonam Goyal, N. Mehala, Navneet Goyal: Incremental models for query clustering and query-context aware document clustering. I. J. Knowledge and Web Intelligence 5(2): 146-167 (2015)

2014 & Earlier



• Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, and Navneet Goyal. 2014. “Parallelizing OPTICS for multicore systems”. 7th ACM India Computing Conference (ACM COMPUTE ‘14), October 2014, Nagpur, India.
• Poonam Goyal, Navneet Goyal, Rohan S Karwa and Mathew John “Phase-wise Clustering of Time Series Gene Expression Data” 06th International Conference on Frontier of Computer Science and Technology (FCST-2011), Changsha, China 16th -18th November, 2011
• Navneet Goyal, Poonam Goyal, Mayank Mohta, Aman Neelapa & Venkatramiah K “A Multipurpose Density Based Clustering Framework”, IC3 2011, S. Aluru et al. (Eds.): Springer - CCIS 168, pp. 538–540, 2011.
• Poonam Goyal, Navneet Goyal and Rohan Karwa “Clustering of Time Series Gene Expression Data” (poster paper) 08th Asia Pacific Bioinformatics Conference (APBC 2010), Bangalore, India 18th-21st January 2010.
• Poonam Goyal, Navneet Goyal, Ashish Gupta & Rahul T S Designing Self-Adaptive Websites using Online Hotlink Assignment Algorithm 4th ACM MoMM’ 09: 14th -16th Dec. 2009, KaulaLampur, Malaysia.
• Navneet Goyal, Poonam Goyal, K Venkatramaiah, Deepak P C & Sanoop P S Efficient Density Based Incremental Clustering Algorithm in Data Warehousing Environment, ICKD 2009, June 6-8, 2009, Manila, Philipines.
• Navneet Goyal & Yashvardhan Sharma New Binning Strategy for Bitmap Indices on High Cardinality Attributes ACM Compute 2009, Bangalore, 09th-11th Jan. 2009
• Poonam Goyal, Navneet Goyal, & N Sriram Online Hotlink Assignment Algorithm for Improving Web Access Proceedings of International Conference on Web Intelligent Systems (ICWIS ‘09), Chennai, 08th -10th Jan. 2009
• Poonam Goyal, Navneet Goyal, Ankit Khandelwal & S Raja Babu Online Hotlink Assignment Algorithm for Adaptive Websites 3rd Indian International Conference on Artificial Intelligence (IICAI, 07), 17-19th Dec. 2007, Pune.
• Shashi K Gadia, Navneet Goyal, William Gutowski, D. Herzmann, S. Nilakanta, & Anil Rai Towards Next Generation Data Warehouse Technology for Deployment in Agriculture, Proceedings of International Conference on 21st Century Challenges in Sustainable Agri-Food Systems, Bangalore, March 15-17, 2007, pp 487-496.
• Navneet Goyal, Yashvardhan Sharma & Susheel Kumar Zaveri Improved Bitmap Indexing Strategy for Data Warehouses Proceedings of 9th International Conference on Information Technology (ICIT), Bhubaneshwar, December, 2006, pp 213-216.
• Yashvardhan Sharma, Navneet Goyal & Som Ranjan Satpathy, New Approach to overcome the complexity issues raised by Simple Bitmap Indexing, Proceedings of International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CIS2E 06), Springer, USA, 4th -14th December, 2006 , pp 501-503.
• A.P.Gupta & Navneet Goyal Forced response of variable thickness circular plates on winkler foundation and subjected to in-plane force, 4th European Solid Mechanics Conference (ESMC4 2000), June 26-30,2000, Metz, France.
• A.P.Gupta and Navneet Goyal Forced asymmetric response of linearly tapered circular plates. Journal of Sound & Vibration, 1999 220(4), 641-57
• A.P.Gupta and Navneet Goyal Effect of transverse shear and rotatory inertia on the forced axisymmetric response of linearly tapered circular plates. International Journal of Mechanical Sciences (Pergamon Press U.K.) 1995 37, 615-27.
• A.P.Gupta and Navneet Goyal Forced axisymmetric response of linearly tapered circular plates. International Journal of Mechanical Sciences (Pergamon Press U.K.) 1994 36, 439-448.
• A.P.Gupta and Navneet Goyal Effect of transverse shear and rotatory inertia on the forced motion of a plate-strip of linearly varying thickness. Journal of Sound & Vibration (Academic Press U.K.) 1994 174(2), 461-74.
• A.P.Gupta and Navneet Goyal Forced motion of a semi-infinite plate of linearly varying thickness. Journal of Sound & Vibration (Academic Press U.K.) 1994 173(2), 265-77.
• A.P.Gupta & Navneet Goyal Forced axisymmetric response of linearly tapered circular plates. Proceedings of the conference on Mathematics and its Applications in Engineering and Industry, 416- 429, 16-18 December 1996, University of Roorkee, ROORKEE.
• V.K.Katiyar & Navneet Goyal Mathematical models in pharmacokinetics Proceedings of the first annual conference of ISIAM, 156-160, 4-7 February 1993, Department of Mathematics, University of Roorkee, ROORKEE.