Regular biography
HOUSSINEAU, Jeremie is an Assistant Professor at Nanyang Technological University, School of Physical and Mathematical Sciences, Department of Mathematics. His research interests include Bayesian inference, Possibility theory, Inference for complex dynamical systems, and Reinforcement learning. He holds a PhD from Heriot-Watt University and is affiliated with the university's mathematics department. His work focuses on advancing methodologies for statistical inference and learning in complex systems.
Scholar-generated biography
Jeremie Houssineau is a researcher at Nanyang Technological University, specializing in Possibility theory and Bayesian Statistics. His work focuses on multi-object tracking, filtering, and uncertainty representation in complex systems. Houssineau has developed advanced filtering techniques such as the PHD filter, CPHD filter, and possibilistic Bernoulli filter, which are applied to problems like space situational awareness, sonar systems, and super-resolution microscopy. His research also explores the integration of possibility theory with probabilistic methods to handle epistemic uncertainty. Houssineau's publications address challenges in multi-target tracking, smoothing, and estimation of stochastic populations, emphasizing robust and tractable solutions for real-world applications.