Journals
P. Aggarwal, and A. Gupta, "Group-Fused Multivariate Regression Modeling for Group-Level Brain Networks" Neurocomputing (July, 2019). (I.F. 4.07)
P. Aggarwal, and A. Gupta, "Multivariate Graph Learning for Detecting Aberrant Connectivity of Dynamic Brain Networks in Autism" Medical Image Analysis (May, 2019). [PDF] (I.F. 8.88)
P. Aggarwal, and A. Gupta, "Low rank and sparsity constrained method for identifying overlapping functional brain networks" PloS one 13.11 (2018): e0208068. [PDF] (I.F. 2.766)
P. Aggarwal, and A. Gupta, "Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI" Computers in biology and medicine, 91 (2017): 255-266. [PDF] [CODE] (I.F. 1.836)
P. Aggarwal, A. Gupta, and A. Garg, "Multivariate brain network graph identification in functional MRI" Medical image analysis, 42 (2017): 228-240. [PDF] [CODE] (I.F. 4.188)
P. Aggarwal, P. Shrivastava, T. Kabra, and A. Gupta, "Optshrink LR+ S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage" Brain informatics, 4.1 (2017): 65-83. [PDF][CODE] (I.F. 2.34)
P. Aggarwal, and A. Gupta, "Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman" Neurocomputing 216 (2016): 319-330. [PDF] [CODE] (I.F. 3.317)
P. Aggarwal, A. Gupta, and V. A. Bohara, "Recursive Least Squares Channel Estimation for Rapidly Time-Varying Scenarios in IEEE 802.11 p" Wireless Personal Communications, 89.1 (2016): 227-240. [PDF] (I.F. 0.951)
N. Chitkara, P. Singhal, and P. Aggarwal, "Study Habits of Higher Performing Engineering Students: A Survey" International Journal of Computer Applications 97.2 (2014): 33-37.
Peer Reviewed Conferences
A. Mittal, P. Aggarwal, L. Pessoa and A. Gupta, "Robust Brain State Decoding using Bidirectional Long Short Term Memory Networks in functional MRI" Proceedings of the Twelve Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2021, Jodhpur, India.
P. Patel, P. Aggarwal, and A. Gupta, "Classification of Schizophrenia versus normal subjects using deep learning" Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2016, Guwahati, India. [PDF]
P. Aggarwal, A. Gupta, and A. Garg, "Joint estimation of activity signal and HRF in fMRI using fused LASSO" IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015, Florida, USA. [PDF]
P. Aggarwal, A. Gupta, and V. A. Bohara, "A guard interval assisted OFDM symbol-based channel estimation for rapid time-varying scenarios in IEEE 802. 11p" IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015, Hong Kong, China. [PDF]
P. Aggarwal, A. Gupta, and A. Garg, "Joint Estimation of Hemodynamic Response Function and Voxel Activation in functional MRI Data" International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Springer, 2015, Munich Germany. [PDF] [POSTER]
P. Aggarwal, V. Mittal, M. A. Maktoomi, and M. S. Hashmi, "A digitally controlled floating resistor using CMOS translinear cells" IEEE Recent Advances in Engineering and Computational Sciences (RAECS), 2014, Chandigarh, India. [PDF]
Technical Reports
P. Aggarwal, and A. Gupta, "Dynamic Phase Synchrony based Ranked Spatio-Temporal Clustering for Tracking Time-Resolved Functional Brain Networks" bioRxiv (2017), 172981. [PDF]
PhD Thesis
P. Aggarwal, and A. Gupta, "Analytical techniques towards identification of human brain functional networks" IIIT-Delhi, 2014-19. [PDF]
Masters Thesis
P. Aggarwal, A. Gupta, and V. A. Bohara, "Guard interval assisted OFDM symbol-based channel estimation for rapid time varying scenarios in IEEE802.11p" IIIT-Delhi, 2013-15. [PDF] [PPT]