Inverse Problems and Cognitive Systems


Prof. Dr. Ferit Acar Savacı



Main Research Topics

– Inference and sequential Bayesian state estimation – Iterative Bayesian smoothers in GF(2) fields with soft interference cancellation equalizers – Information theory for calculation of natural limits on data rates for reliable communication over channels with memory – Remote sensing and Cognitive Radar with an emphasis on Radar Scene Analysis for facilitation of Bayesian Target Tracking – Retrieval of hidden inputs and driving-forces in partially known and completely unknown nonlinear dynamic systems – Reservoir computation, empirical mode decomposition, time-frequency distributions and stochastic resonance for nonstationary data analysis


– Development of Cognitive Radar Networks – Capacity-achieving serially coded continuous phase modulated waveforms – Design of power , bandwidth and computationally-efficient, constant envelope digital communication systems with novel decompositions of Continuous Phase Modulation (CPM) – Diagnosis and isolation of faults in large scale nonlinear systems with unknown dynamics with Adaptive Driving-Force Estimation (ADFE) techniques – Online prediction of epileptic seizure from EEG data with Reservoir Computation methods


– Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM) at Université catholique de Louvain, Belgium – Electrical and Computer Engineering at McMaster University, Hamilton, Ontario, Canada