About Me

I am an adjunct faculty at the Department of Computer Science. I completed my Ph.D. in Computer Science from George Mason University. Advised by Dr. Carlotta Domeniconi, I worked on developing exemplar-driven learning algorithms for clustering high-dimensional data. I developed and evaluated exemplar-driven frameworks for subspace clustering, matrix factorization, and representation learning of variational auto-encoders. I completed my M.S. in Computer Science from Indian Institute of Technology Madras. Advised by Dr. B. Ravindran, I developed a hierarchical framework for object recognition in embodied agents using Markov logic networks and active vision. Prior to my Ph.D., I worked as a software engineer at Arista Networks, where I developed several network traffic monitoring features.

Research Interests

Unsupervised learning, Explainability and fairness, Graph-based learning, Few-shot learning, Exemplar-driven learning.

Teaching

CS 330: Formal Methods and Models, Spring 2022.

Publications

P. Mani, C. Domeniconi, and I. Griva, “Unsupervised selective manifold regularized matrix factorization,” in Proceedings of the 2021 SIAM International Conference on Data Mining, April 29 - May 1, 2021.

P. Mani and C. Domeniconi, “Hub-based subspace clustering,” Neurocomputing, vol. 413, pp. 193–209, 2020.

E. Evans, W. Guo, A. Genctav, S. Tari, C. Domeniconi, A. Murillo, J. Chuang, L. AlSumait, P. Mani , N. El-Zehiry, Role Detection and Prediction in Dynamic Political Networks, Advances in Data Science, under review, 2020.

P. Mani, M. Vazquez, J. R. Metcalf-Burton, C. Domeniconi, H. Fairbanks, G. Bal, E. Beer, and S. Tari, “The hubness phenomenon in high-dimensional spaces,” in Research in Data Science, Associations for Women in Mathematics Series, E. Gasparovic and C. Domeniconi, Eds. Springer, 2019, vol. 17, pp. 15–45.

J. Rayes and P. Mani, Exploring Insider Trading Within Hypernetworks, 2nd International Data Science Conference (iDSC) 2019.

A. Kulkarni, P. Mani, and C. Domeniconi, Network-based Anomaly Detection for Insider Trading, SDM Workshop on Inferring Networks from Non-network Data, April 2017.

Curriculum Vitae

CV (PDF)