Rain Ferenets Email & Phone Number

Tallinn, Harjumaa, Estonia

Estonia

• Providing digital signal processing related solutions and consultations, selected projects:
• Myoton AS: Designing and implementing DSP tasks for the ARM9 processor: several types of filters (both floating and fixed point implementations) for noise removal and smoothing of accelerometer signal; effective.
• Sumitomo Riko Company Limited: Developing complex signal processing solution for estimating driver’s physiological condition based on measurement of heart and respiratory signals obtained from the sensors integrated.

Tallinn, Harjumaa, Estonia

Developing self-driving vehicles and autonomous transportation systems.

Tallinn

• The main focus was on improving robot’s awareness about its surroundings using non-camera based sensors such as radars and ultrasound. Far and possibly fast objects were detected using radars, whilst the nearby objects.
• Completely redesigning and implementing effective signal processing algorithms for FSK radars in order to increase precision of estimated speed and distance of moving objects around robot.
• Implementing radar noise detection algorithms for recognizing different noise types like white, pink, periodic, for instance.
• Implementing certain type of communication noise suppression algorithms for improving precision of radar detections.
• Designing and implementing ultrasound based object detection algorithms used for detection of nearby objects.

Tallinn, Estonia

• Developing algorithms and software for digital sensor signal and image processing applications.
• Algorithms and software for high precision ultra wide band indoor positioning system.
• Machine learning based image recognizing solution for detecting custom parts used for industrial welding robot system. The solution was based on OpenCV and implemented on Raspberry Pi platform.
• Algorithms and software for accelerometer-gyroscope based measurement systems for estimating outcome of the physiotherapy.
• Modeling non-invasive assessment of central blood pressure using electrical bioimpedance measurements.

Estonia

• Developing algorithms and software for various digital signal processing related projects.
• Algorithms and software for adaptive clutter (very low frequency noise) removal algorithm for estimating absolute intracranial pressure through ophthalmic artery using ultrasonic technology.
• Modeling non-invasive dynamic intracranial pressure using ultrasound measurements.
• Algorithms and software for non-invasive estimation of car driver’s physiological parameters via pressure sensors integrated into the seat.
• Designing and implementing special filters for de-noising ECG and PPG signals for both x86 platform as well as 16 bit microcontrollers.
• Developing software for estimating SpO2 using reflective optical sensors.

Tallinn, Harjumaa, Estonia

• Conducting physiological signal processing based research as well as teaching BSc, MSc, and PhD level students.
• Lecturing courses “Digital Signal and Image Processing” and “Physiological Signal Processing” as well as supervising lab works.
• Analyzing EEG signals recorded during anesthesia (propofol, sevoflurane) using time-frequency methods (wavelet transform, Cohen’s class of distributions) as well as ICA and coherence analysis.
• Analyzing EMG signals recorded with surface electrodes using time-frequency methods (Cohen’s class of distribution and wavelet transform) and developing the analysis system.
• Studying of physiological signals like EMG, ECG, and EEG. Developing the system for registration and analyzing EMG signal recorded with surface electrodes.

Tallinn

• The main objective was to develop highly effective DSP algorithms in order to improve detection quality of high-speed forward looking sonar.
• Designing computationally effective digital filters for Analog Devices SHARC Processors for decreasing side-lobes of the correlator’s output in order to increase distance resolution.
• Designing high resolution beamformers in order to obtain increased angular resolution;
• Designing computationally effective interpolators and special filters for decreasing the effect of aliases appearing in the beam pattern.

• Conducting physiological signal processing based research as well as teaching BSc and MSc level students.
• Analyzing regularity/complexity properties (Shannon entropy, spectral entropy, approximate entropy, Lempel-Ziv complexity, Higuchi fractal dimension) of EEG signals during induction of anesthesia/sedation.
• Estimating phase synchronization of the multichannel EEG recordings from the Alzheimer’s and Parkinson’s disease patients.
• Supervising students lab works for physiological signal processing courses.

Tallinn

• Developing hardware for industrial grade systems.
• PCB layouts for gas delivery controllers and water purification systems for semiconductor production.
• Data logging and monitoring system for off-road construction vehicles.

Doctor Of Philosophy - Phd, Signal Processing

Master Of Science - Ms, Electronics And Biomedical Engineering

Bachelor Of Science - Bs, Electronics And Biomedical Engineering