Data Science & Analytics
This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.
Extremal Probability Bounds in Combinatorial Optimization
D Padmanabhan, SD Ahipasaoglu, A Ramachandra, K Natarajan, 2022, SIAM Journal on Optimization, Volume 32, Issue 4, 2828-2858, https://epubs.siam.org/doi/pdf/10.1137/21M1442504
From Qualitative Data to Correlation Using Deep Generative Networks: Demonstrating the Relation of Nuclear Position with the Arrangement of Actin Filaments
J. Vasudevan, C. Zheng, J. G. Wan, T.-J. Cham, L. C. Teck, and J. G. Fernandez, 2022, PLOS One, 17, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271056
Parallel k-clique Counting on GPUs
M Almasri, IE Hajj, R Nagi, J Xiong, W Hwu, 2022, Proceedings of the 36th ACM International Conference on Supercomputing, 10-14, https://dl.acm.org/doi/pdf/10.1145/3524059.3532382
PARSEC: PARallel Subgraph Enumeration in CUDA
V Dodeja, M Almasri, R Nagi, J Xiong, W Hwu, 2022, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 168-178, https://ieeexplore.ieee.org/iel7/9820609/9820610/09820623.pdf
Signal analysis via the stochastic geometry of spectrogram level sets
S. Ghosh, M. Lin, and D. Sun, 2022, IEEE Transactions on Signal Processing, Vol. 70, 1104-1117 , https://ieeexplore.ieee.org/document/9720125
Support Vector Machines as Bayes' Classifiers
P. Jackson, 2022, Operations Research Letters, 50, No. 5, 423-429
Tail Probabilities of Random Linear Functions of Regularly Varying Random Vectors
B. Das, V. Fasen-Hartmann and C. Klüppelberg, 2022, Extremes, 25, 721-758, https://arxiv.org/abs/1904.06824
What have we Learned About Socioeconomic Inequalities in the Spread of COVID-19? A Systematic Review
F. Benita, L. Rebollar-Ruelas, E.D. Gaytán-Alfaro, 2022, Sustainable Cities and Society, 104158, https://doi.org/10.1016/j.scs.2022.104158
A Smart Learning Ecosystem Design for Delivering Data-driven Thinking in STEM Education
F. Benita, D. Virupaksha, E. Wilhelm, B. Tunçer, 2021, Smart Learning Environments, 8, 1-20, https://doi.org/10.1186/s40561-021-00153-y
Analysis of optimization algorithms via sum-of-squares
S. S.Y. Tan , V. Y.F. Tan, A Varvitsiotis, 2021, Journal of Optimization Theory and Applications, https://link.springer.com/article/10.1007/s10957-021-01869-0?fbclid=IwAR3ODcpJfH4ByBOTmartQi_Ew_4zLEL4mTsuE8XFjrTukSRi1KHc2nA8pkE