Inverse Problems and Cognitive Systems


Prof. Dr. Ferit Acar Savacı


Mehmet Sönmez

R. Uğraş Erdoğan

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 non-stationary 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

-Stability Analysis, Estimation and Control in Complex Electrical Power Grids modelled by Levy Processes

-TÜBİTAK BİGG 2021-1 support


– 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