About Me
Pranab Kumar Mandal is an associate professor (UHD) in the group Hybrid Systems in the Department of Applied Mathematics at the University of Twente.
His research interests are mathematical statistics and stochastic (nonlinear) filtering theory, in particular, particle filtering theory with applications to statistical signal processing, system identification and financial mathematics. His current focus is in filtering in high-dimensional scenarios and with compressed sensing data. He collaborates closely with Thales Nederland BV in Hengelo.
Expertise
Engineering & Materials Science
# Industrial Plants
# Metal Forming
# State Estimation
Mathematics
# Moment Matching
# Optimal Filter
# Particle Filter
# Particle Filtering
# Sequential Monte Carlo Methods
Publications
Recent
Havinga, J.
, Mandal, P. K.
, & van den Boogaard, T. (2020).
Exploiting data in smart factories: Real-time state estimation and model improvement in metal forming mass production.
International journal of material forming,
13(5), 663–673.
https://doi.org/10.1007/s12289-019-01495-2
Havinga, J.
, Mandal, P. K.
, & van den Boogaard, A. H. (2019).
Bayesian Model-based State Estimation for Mass Production Metal Forming. In
38th International Deep Drawing Research Group Conference (1 ed., pp. 1-8). Article 012095 (IOP Conference Series: Materials Science and Engineering; Vol. 651, No. 012095). IOP Science.
https://doi.org/10.1088/1757-899X/651/1/012095
Boers, Y.
, & Mandal, P. K. (2019).
Optimal Particle-Filter-Based Detector.
IEEE signal processing letters,
26(3), 435-439.
https://doi.org/10.1109/LSP.2019.2895279
Affiliated Study Programmes
Bachelor
Master
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands