Which phone will you get next: Observing trends and predicting the choice. - Yi Wang 010; Hui Zang; Pravallika Devineni; Michalis Faloutsos; Krishna Janakiraman; Sara Motahari (NOMS, 2014)

If walls could talk: Patterns and anomalies in Facebook wallposts. - Pravallika Devineni; Danai Koutra; Michalis Faloutsos; Christos Faloutsos (ASONAM, 2015)

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. - Venkata Krishna Pillutla; Zhanpeng Fang; Pravallika Devineni; Christos Faloutsos; Danai Koutra; Jie Tang 001 (SDM, 2016)

One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors. - Pravallika Devineni; Evangelos E. Papalexakis; Danai Koutra; A. Seza Dogruöz; Michalis Faloutsos (ASONAM, 2017)

Facebook wall posts: a model of user behaviors. - Pravallika Devineni; Danai Koutra; Michalis Faloutsos; Christos Faloutsos (Soc. Netw. Anal. Min., 2017)

MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors. - Pravallika Devineni; Evangelos E. Papalexakis; Kalina Michalska; Michalis Faloutsos (ASONAM, 2018)

From Social Networks To Smartphones: Modeling And Understanding Online Human Behavior. - Pravallika Devineni (2018)

Evolving Energy Efficient Convolutional Neural Networks. - Steven R. Young; Pravallika Devineni; Maryam Parsa; J. Travis Johnston; Bill Kay; Robert M. Patton; Catherine D. Schuman; Derek C. Rose; Thomas E. Potok (IEEE BigData, 2019)

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. - Pravallika Devineni; Bill Kay; Hao Lu 001; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2020)

Tensorized Feature Spaces for Feature Explosion. - Ravdeep S. Pasricha; Pravallika Devineni; Evangelos E. Papalexakis; Ramakrishnan Kannan (ICPR, 2020)

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. - Suzanne Parete-Koon; Peter F. Peterson; Garrett E. Granroth; Wenduo Zhou; Pravallika Devineni; Nouamane Laanait; Junqi Yin; Albina Y. Borisevich; Ketan Maheshwari; Melissa R. Allen-Dumas; Srinath Ravulaparthy; Kuldeep R. Kurte; et al. (SMC, 2020)

Identification of Critical Infrastructure via PageRank. - Bill Kay; Hao Lu 001; Pravallika Devineni; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2021)

Subspace Clustering Based Analysis of Neural Networks. - Uday Singh Saini; Pravallika Devineni; Evangelos E. Papalexakis (ECML/PKDD (3), 2021)

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. - Pravallika Devineni; Panchapakesan Ganesh; Nikhil Sivadas; Abhijeet Dhakane; Ketan Maheshwari; Drahomira Herrmannova; Ramakrishnan Kannan; Seung-Hwan Lim; Thomas E. Potok; Jordan B. Chipka; Priyantha Mudalige; Mark Coletti; et al. (SMC, 2021)