Ph.D-CSE

Patent

• US1: Systems and methods of anomaly detection in large scale production environments using time-series modeling New 

Inventors: Krishna Koti, Ekta Gujral, Sanjay Valappile Kandy, Jonathan Michael Sidhu, Ravishankar Balasubramanian, Dilip Abraham, Abin,Jana, Poonam Chandramohan Dhanwani, Bijayani Sanghamitra Mishra, Himani Agrawal Patent

Pre-print

• P3 Ekta Gujral, Apurva Sinha, Lishi Ji, and Bijayani Sanghamitra Mishra , CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews, arXiv preprint arXiv:2504.13993 Paper New

• P2 Sinha, A. and Ekta Gujral ., 2024. PAE: Llm-based product attribute extraction for e-commerce fashion trends. arXiv preprint arXiv:2405.17533. Paper

• P1. Survey: Anomaly Detection Methods Paper,   Code 

Conference

• C19 Ekta Gujral and Sinha, A.,From Tokens to Tribes: Understanding LLMs for Social Graph Community Detection,  submitted in 4th 2025 IEEE World Conference on Applied Intelligence and Computing (AIC 2025)New 

• C18 Ekta Gujral and Sinha, A. ,LLMs Between the Nodes: Community Discovery Beyond Vectors,  accepted in 11th International Conference on Artificial Intelligence and Soft Computing (AIS 2025) New Paper

• C17 Sinha, A. and Ekta Gujral ., 2024 Attribute Extraction for E-Commerce Fashion Data, (BIDA 2025)

• C16. Ekta Gujral and Evangelos E. Papalexakis, “Aptera: Automatic PARAFAC2 Tensor Analysis”, (ASONAM 2022)

• C15. Ekta Gujral, Neil Shaw, Leonardo Neves, and Evangelos E. Papalexakis, “NED: Niche Detection in User Content Consumption Data", (CIKM 2021) Paper, Code.

• C14. Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, and Petko Bogdannov, "MYRON: Mining burstY gRoups frOm iNteractions", (CIKM 2021). Paper, Code.

• C13. Ekta Gujral, Georgios Theocharous, and Evangelos E. Papalexakis, “C3APTION: Constraint Coupled CP and PARAFAC2 Tensor Decomposition”, (ASONAM 2020), Paper, Code.

• C12. Ravdeep Pasricha, Ekta Gujral, and Evangelos E. Papalexakis, "Adaptive Granularity in Tensors: A Quest for Interpretable Structure”, (MLG 2020).Paper, Code.

• C11. Ekta Gujral, and Evangelos E. Papalexakis, “OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors”, (DSAA 2020)Paper, Code

• C10. Ekta Gujral, Georgios Theocharous, and Evangelos E. Papalexakis, "POPLAR: Parafac2 decomposition using auxiliary information", (IEEE SAM 2020)Paper, Code

• C9. Ekta Gujral, Ravdeep Pasricha, and Evangelos E. Papalexakis, "Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs", (The Web Conference 2020)Paper, Code

• C8. Ekta Gujral, Georgios Theocharous, and Evangelos E. Papalexakis, "SPADE: Streaming PARAFAC2 Decomposition for Sparse Datasets ", (SDM 2020)Paper, Code

• C7. Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang, and Evangelos E. Papalexakis, "OCTen: Online Compression-based Tensor Decomposition", (CAMSAP 2019)Paper, Code

• C6. Ekta Gujral, Georgios Theocharous, Anup Rao, and Evangelos E. Papalexakis, "HACD: Hierarchical Agglomerative Community Detection in Social Networks", (MLSP 2019)Paper, Code

• C5. Saba Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, and Sarah Lam, "t-PINE: Tensor-based Predictable and Interpretable Node Embeddings", (ASONAM 2018)Paper, Code

• C4. Ravdeep Pasricha, Ekta Gujral, and Evangelos E. Papalexakis, "Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition", (ECML- PKDD 2018)Paper, Code

• C3. Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, and Petko Bogdannov, LARC: Learning Activity-Regularized overlapping Community across Time", (KDD 2018)Paper, Code

• C2. Ekta Gujral, and Evangelos E. Papalexakis. "SMACD: Semi-supervised Multi-Aspect Community Detection” (SDM 2018)Paper, Code

• C1. Ekta Gujral, Ravdeep Pasricha, and Evangelos E. Papalexakis. "SamBaTen: Sampling-based Batch Incremental Tensor Decomposition.” (SDM 2018)Paper, Code

Journals Publications

• J2. Ravdeep Pasricha, Ekta Gujral, and Evangelos E. Papalexakis, "Adaptive Granularity in Tensors: A Quest for Interpretable Structure”, (Frontiers in Big Data 2022).Paper, Code.

•  J1. Saba Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, and Sarah Lam, "t-PINE: Tensor-based Predictable and Interpretable Node Embeddings", Accepted in Social Network Analysis and Mining 2019

Workshop-Poster

• W3. Saba Al-Sayouri, Ekta Gujral, Danai Koutra,  Evangelos E. Papalexakis, and Sarah Lam, "t-PINE: Tensor-based Predictable and Interpretable Node Embeddings", MLG-KDD 2018.

• W2. Gujral, Ekta. "fMVR:Shall I Get My Video Back? Feature Matching based Video Reconstruction". (accepted poster in WiCV 2018 (CVPR), IntelliSys2018 ), Paper-IS, Paper-WiCV, BibTex

• W1. Gujral, Ekta, and Evangelos E. Papalexakis. "Semi-supervised Multi-Aspect Community Detection”  (WSDM HeteroNAM 2018, Socal Social Workshop),Paper, BibTex

M.Tech-TSE

• Gujral E, Jadon JS (2016), “LTE Evolution towards Carrier Aggregation”. J Telecommunication Systems Manage 5:124. doi:10.4172/2167-0919.1000124, Vol. 1, Feb 2016 paper

• Gujral E, Jadon JS (2016), “Strategical Approach for VoLTE Performance Improvement”. J Telecommunication Systems Manage 5:134. doi:10.4172/2167-0919.1000134. Vol. 2, July 2016 paper

• Gujral E (2015), “Initial Tuning Methodology of LTE Network”, MITIJEC 2230-7664, pp. 01–04, Vol. 5, No. 1, Jan 2015 paper

• Gujral E and Jadon JS(2014), “Robust Physical Optimization for LTE Network,” International Journal of Innovation and Applied Studies, vol. 6, no. 1, pp. 68–75, May 2014paper

• Gujral E (2013), “Robust physical cell ID planning for LTE”, EE Times India, Vol 1, Aug 2013 paper

B.Tech-ECE

• C.Ravi, N.Srijith, Gujral E,"Optimal Non Zero Skew Number Selection for 40nm Technology" Designs EDA Times,Aug 2011 paper

• C.Ravi, N.Srijith, Gujral E,"Understanding Clock Net Routing for Shrinking Technology" Techindia.com,Aug 2011