Pranab K Mandal
Pranab K Mandal
Assistant Professor, Department of Applied Mathematics, University of Twente
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Cited by
Cited by
Hollow spheres to nanocups: tuning the morphology and magnetic properties of single-crystalline α-Fe2O3 nanostructures
D Jagadeesan, U Mansoori, P Mandal, A Sundaresan, M Eswaramoorthy
Angew. Chem 120 (40), 7799-7802, 2008
Tailoring the surface charge of dextran-based polymer coated SPIONs for modulated stem cell uptake and MRI contrast
M Barrow, A Taylor, DJ Nieves, LK Bogart, P Mandal, CM Collins, ...
Biomaterials science 3 (4), 608-616, 2015
A theoretical look at information-driven sensor management criteria
EH Aoki, A Bagchi, P Mandal, Y Boers
14th International Conference on Information Fusion, 1-8, 2011
Particle filter based entropy
Y Boers, H Driessen, A Bagchi, P Mandal
2010 13th International Conference on Information Fusion, 1-8, 2010
Particle based MAP state estimation: A comparison
S Saha, Y Boers, H Driessen, PK Mandal, A Bagchi
2009 12th International Conference on Information Fusion, 278-283, 2009
Gaussian proposal density using moment matching in SMC methods
S Saha, PK Mandal, Y Boers, H Driessen, A Bagchi
Statistics and Computing 19, 203-208, 2009
Labeling uncertainty in multitarget tracking
EH Aoki, PK Mandal, L Svensson, Y Boers, A Bagchi
IEEE Transactions on Aerospace and Electronic systems 52 (3), 1006-1020, 2016
Optimal particle-filter-based detector
Y Boers, PK Mandal
IEEE Signal Processing Letters 26 (3), 435-439, 2019
Exploiting data in smart factories: real-time state estimation and model improvement in metal forming mass production
J Havinga, PK Mandal, T van den Boogaard
International Journal of Material Forming 13, 663-673, 2020
Investigation of biferroic properties in La0. 6Sr0. 4MnO3/0.7 Pb (Mg1/3Nb2/3) O3–0.3 PbTiO3 epitaxial bilayered heterostructures
AR Chaudhuri, SB Krupanidhi, P Mandal, A Sundaresan
Journal of Applied Physics 106 (5), 2009
A Bayes formula for Gaussian noise processes and its applications
PK Mandal, V Mandrekar
SIAM journal on control and optimization 39 (3), 852-871, 2000
Riemann–Langevin particle filtering in track-before-detect
FJI Garcia, PK Mandal, M Bocquel, AG Marques
IEEE signal processing letters 25 (7), 1039-1043, 2018
Particle based smoothed marginal MAP estimation for general state space models
S Saha, PK Mandal, A Bagchi, Y Boers, JN Driessen
IEEE transactions on signal processing 61 (2), 264-273, 2012
A Bayesian look at the optimal track labelling problem
EH Aoki, Y Boers, L Svensson, P Mandal, A Bagchi
IET Digital Library, 2012
A theoretical analysis of Bayes-optimal multi-target tracking and labelling
EH Aoki, A Bagchi, PK Mandal, Y Boers
University of Twente, 2011
On the “near-universal proxy” argument for theoretical justification of information-driven sensor management
EH Aoki, A Bagchi, P Mandal, Y Boers
2011 IEEE Statistical Signal Processing Workshop (SSP), 245-248, 2011
On homogeneous skewness of unimodal distributions
S Das, PK Mandal, D Ghosh
Sankhyā: The Indian Journal of Statistics, Series B (2008-), 187-205, 2009
A new approach to particle based smoothed marginal MAP
S Saha, PK Mandal, A Bagchi
2008 16th European Signal Processing Conference, 1-5, 2008
A Bayes formula for Gaussian processes and its applications
V Mandrekar, PK Mandal
SIAM J. Control Optim 39 (3), 852-871, 2000
Nonlinear filtering with stochastic delay equations
G Kallianpur, PK Mandal
Advances on Theoretical and Methodological Aspects of Probability and …, 2019
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