Niclas Björsell received his B.Sc. in Electrical Engineering and his Lic. Ph. in Automatic control from Uppsala University, Sweden in 1994 and 1998, respectively; he received his Ph. D. in Telecommunication from the Royal Institute of Technology, Stockholm, Sweden, in 2007. In 2012 he was appointed Docent in Telecommunications at the Royal Institute of Technology, Stockholm.
For more than 25 years he has hold positions in the academy as well as in industry. He has almost 20 years of experience from research and development projects; both national and international and mainly in collaborations between industry and the academy. He is currently Associate Professor at the University of Gävle and program director for the study program in Automation Engineering. He has published more than 80 papers in international peer-review journals and conferences, and his research interests include radio frequency measurement technology, analog-to-digital conversion, non-linear systems, wireless communication and automation.
Dr. Björsell is Associate Editor of IEEE Transactions on Instrumentation and Measurement, reviewer for several journals and conferences, and voting member of the Waveform Generation, Measurement and Analysis Committee (IEEE, Instrumentation and Measurement).
Currently, Niclas Björsell is involved in two research projects, one within wireless communication for automation systems and one within medical measurement technology.
The project comprises four work packages, of which Dr. Björsell is responsible for (i) Radio communication in industrial environments and works actively in (ii) Process automation and wireless communication. The others are (iii) Measurement technology for components and (iv) Industrial measuring technology. In the field of Radio Communication in Industrial Environments, measurements in the 24 GHz band are carried out in industrial environments in order to develop channel models, measure the impact of disturbances and study doppler effects from moving objects. Process Automation and Wireless Communication aim to combine wireless communication and control technology. In addition, modeling techniques are used to create digital twins that can be used, for example, to detect a maintenance need.
Realizing the tremendous potential of personalized medicine requires knowing the genome of individual patients. However, current DNA sequencing technologies are still too slow and expensive for sequencing genomes for healthcare practice on a large scale. There is, therefore a critical need for a new sequencing technology that has the potential to sequence the full human genome within 1 hour for less than US$100. DNA sequencing using electron tunneling detection is one of the post promising methods to achieve this goal. In this approach, molecular strands are decoded by moving them through nanogaps formed between pairs of nanoelectrodes embedded in nanopores while sending a tunneling current between the electrodes. However, to research this technology an instrument is needed that can read out the extremely small tunneling currents at very high speeds (10-100 MHz), which does not exist today. To address this need, we propose to develop an instrument for electron tunneling measurements, combining custom high-speed read-out electronics, signal processing, and electron tunneling sensors for biomolecule detection. This instrument development project will pave the way for exciting new research on next-generation high-throughput and low-cost sequencing of DNA, RNA and peptides, which has the potential to achieve significant advancements within biology, life-science and clinical practice, thereby having significant scientific, societal and commercial impacts.
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Smart maintenance means that machines themselves identify and possibly carry out a maintenance need. The technology is available in new modern machines, but the need is great in existing plants. The project aims to develop models for smart maintenance of existing older equipment.
This EU project (AAL Call 6: AXO-SUIT project) purpose is to develop an Exo skeleton to assist older persons with reduced mobility. The control of the Exo skeleton should enhance the movement the person intends to perform. Our part of the project has been to develop mathematical models that describe the movements of the shoulder and to detect which movement the user intends to perform.