**About the Editors**

**Gerhard Schmidt** received his Dipl.-Ing. degree in 1996 and his Dr.-Ing. degree in 2001, both from Darmstadt, University of Technology, Germany. After his Ph.D., he worked in the research groups of the acoustic signal processing departments at Harman/Becker Automotive Systems and at SVOX, both in Ulm, Germany. Parallel to his time at SVOX, he was a part-time professor at Darmstadt, University of Technology. Since 2010, he has been a full professor at Kiel University, Germany. His main research interests include adaptive methods for audio, SONAR, and medical signal processing.

**Eckhard Quandt** began studying at Kiel University in 1979 and, in 1980, switched to a physics degree at Technische Universitat Berlin, where he completed his doctoral degree in 1990. In 2000, he ¨ completed his habilitation in materials science at Universitat Karlsruhe. After his doctoral degree, ¨ he worked in materials science at the Kernforschungszentrum Karlsruhe (KfK, Karlsruhe Nuclear Research Center) until 1999 and at the Center of Advanced European Studies and Research (caesar) in Bonn until 2007. In December 2006, he was offered a W3 professorship for inorganic functional materials at the Faculty of Engineering at Kiel University.

At the CAU, from 2009 to 2012, he was a spokesperson of the priority research area "Nano Science and Surface Research"; from 2010 to 2014, he was spokesperson of the Collaborative Research Centre 855 "Magnetoelectric Composites"; and from 2010 to 2012, he was a member of the University Senate at Kiel University. From 2012 to 2014, he was firstly Vice Dean and then, from 2014 to 2016, Dean of the Faculty of Engineering. Since 2016, he has been a spokesperson of the Collaborative Research Centre 1261 "Magnetoelectric Sensors".

In 2016, he received personal funding from the German Research Foundation (DFG) for a five-year Reinhart Koselleck project to research ceramic shape memory materials. In 2018, together with the start-up Acquandas GmbH, he was awarded the first-place prize for the Petersen Innovation Transfer Award for an "innovative technology platform for new bioelectronic and microtechnological medical technology products". He was a member of the Science review board of the German Research Foundation (DFG) for two terms and is a member of the German Academy of Science and Engineering (acatech).

**Nian X. Sun** is a professor of Electrical and Computer Engineering and of Bioengineering; Director of the Advanced Materials and Microsystems Laboratory; Director of the W.M. Keck Laboratory for Integrated Ferroics, Northeastern University; and founder and chief technical advisor of Winchester Technologies, LLC. He received his Ph.D. degree from Stanford University. Prior to joining Northeastern University, he was a Scientist at IBM and Hitachi Global Storage Technologies. Dr. Sun was the recipient of the Humboldt Research Award, the NSF CAREER Award, the ONR Young Investigator Award, the SBuus Outstanding Research Award, the Outstanding Translational Research Award, and more. His research interests include novel magnetic, ferroelectric and multiferroic materials, devices and microsystems, novel gas sensors and systems, etc. He has over 280 publications and over 20 patents and patent applications. One of his papers was selected as the "ten most outstanding full papers in the past decade (2001–2010) in Advanced Functional Materials". Dr. Sun has given over 180 plenary/keynote/invited presentations and seminars. He is an editor of *Sensors* and *IEEE Transactions on Magnetics* and a fellow of the IEEE, Institute of Physics, and of the Institution of Engineering and Technology.

**Andreas Bahr** has been Professor of Sensor System Electronics at Kiel University since November 2017. Previously, he was a research associate at the Institute of Nano- and Medical Electronics at the Technical University of Hamburg. In 2017, he received his doctorate at the TU Hamburg. His research interests include analog and mixed-signal integrated circuit design, low-noise and low-power design, sensor system electronics, and biomedical signal processing.
