Parvez Ahammad
Parvez Ahammad
Director of Engineering @ LinkedIn
Verified email at
Cited by
Cited by
CITRIC: A low-bandwidth wireless camera network platform
P Chen, P Ahammad, C Boyer, SI Huang, L Lin, E Lobaton, M Meingast, ...
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 1-10, 2008
Automated reconstruction of neuronal morphology based on local geometrical and global structural models
T Zhao, J Xie, F Amat, N Clack, P Ahammad, H Peng, F Long, E Myers
Neuroinformatics 9, 247-261, 2011
Dynamical feature extraction at the sensory periphery guides chemotaxis
A Schulze, A Gomez-Marin, VG Rajendran, G Lott, M Musy, P Ahammad, ...
Elife 4, e06694, 2015
Rate-efficient visual correspondences using random projections
C Yeo, P Ahammad, K Ramchandran
2008 15th IEEE International Conference on Image Processing, 217-220, 2008
Fast, real-time, estimation of content-sensitive encoding quality for optimized web delivery of images
P Ahammad
US Patent 10,015,503, 2018
High-speed action recognition and localization in compressed domain videos
C Yeo, P Ahammad, K Ramchandran, SS Sastry
IEEE Transactions on Circuits and Systems for Video Technology 18 (8), 1006-1015, 2008
LinkedIn's Audience Engagements API: A privacy preserving data analytics system at scale
R Rogers, S Subramaniam, S Peng, D Durfee, S Lee, SK Kancha, ...
arXiv preprint arXiv:2002.05839, 2020
Perceived performance of top retail webpages in the wild: Insights from large-scale crowdsourcing of above-the-fold qoe
Q Gao, P Dey, P Ahammad
Proceedings of the Workshop on QoE-based Analysis and Management of Data …, 2017
A low-bandwidth camera sensor platform with applications in smart camera networks
P Chen, K Hong, N Naikal, SS Sastry, D Tygar, P Yan, AY Yang, ...
ACM Transactions on Sensor Networks (TOSN) 9 (2), 1-23, 2013
High speed video action recognition and localization
P Ahammad, C Yeo, K Ramchandran, SS Sastry
US Patent 8,027,542, 2011
Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety
MS Mellem, Y Liu, H Gonzalez, M Kollada, WJ Martin, P Ahammad
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (1), 56-67, 2020
Compressed domain real-time action recognition
C Yeo, P Ahammad, K Ramchandran, SS Sastry
2006 IEEE Workshop on Multimedia Signal Processing, 33-36, 2006
Sok: Applying machine learning in security-a survey
H Jiang, J Nagra, P Ahammad
arXiv preprint arXiv:1611.03186, 2016
Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depression
Y Liu, R Admon, MS Mellem, EL Belleau, RH Kaiser, R Clegg, M Beltzer, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (2), 163-172, 2020
Joint MRI bias removal using entropy minimization across images
E Learned-miller, P Ahammad
Advances in Neural Information Processing Systems 17, 2004
Unsupervised segmentation of noisy electron microscopy images using salient watersheds and region merging
S Navlakha, P Ahammad, EW Myers
BMC bioinformatics 14, 1-9, 2013
Algebraic approach to recovering topological information in distributed camera networks
EJ Lobaton, P Ahammad, S Sastry
2009 International Conference on Information Processing in Sensor Networks …, 2009
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs
CL Harmon, P Ahammad, A Hammonds, R Weiszmann, SE Celniker, ...
Annual International Conference on Research in Computational Molecular …, 2007
Multi-modal target tracking using heterogeneous sensor networks
M Kushwaha, I Amundson, P Volgyesi, P Ahammad, G Simon, ...
2008 Proceedings of 17th International Conference on Computer Communications …, 2008
Joint nonparametric alignment for analyzing spatial gene expression patterns in Drosophila imaginal discs
P Ahammad, CL Harmon, A Hammonds, SS Sastry, GM Rubin
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
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