Paweł Śniatała

Associate Dean | College of Computing Science Poznan University of Technology, Poland

Lecture Information:
  • October 11, 2017
  • 2:00 PM
  • ECS 349
Photo of Pawel Sniatala

Speaker Bio

Dr hab. inż. Paweł Śniatała received the M.S. degree in Telecommunication, M.S. degree in Computer Science, Ph.D. degree in Microelectronics and habilitation in Electronics. From 1998 to 2002 he was with the Department of Computer Engineering at the Rochester Institute of Technology, NY.  He returned to Poznan University of Technology to take a position in the Department of Computer Engineering. He also graduated the international MBA study in join program George State University and Poznań University of Economics.  His area of interests focuses on VLSI circuits for digital and mixed analog-digital signal processing systems. He was also involved in some image processing related projects. Currently, he has a position of Associate Dean at College of Computing Science of Poznan University of Technology.


The development of new electronic technologies allows increasing the complexity of modern System on Chip devices (SoC). They contain the complete analog and digital processing chain. Analog solutions are also often applied in portable devices, where the power consumption and the circuit area are critical issues. One of the important SoC applications is in medical devices. Medical technology has made significant progress in the bio-microsystems used for various therapeutic, rehabilitative and monitoring applications. All of these contain miniaturized electronic circuits that are integrated with a single chip for portability and implantation. In these devices, both the circuit area and the total power consumption are critical issues. Amperometry is one of the techniques used in such applications. It is an electrochemical method of detecting ions (such as iodide, sulfite, cyanide) basing on using polarized electrodes. Current signals analyzed in amperometry are characterized not only by small frequencies, not exceeding a dozen of kHz, but also by rather small amplitudes at the level of few μA or even nA. Moreover, the characteristic of changes of the analyzed signals allows designing biosensors with a limited Dynamic Range (DR) at the level of 60 dB to minimize resources. The presentation will introduce general information about implantable chips and research results related to the current mode A/D converters based on ΣΔ structures.