**About the Editors**

### **Jordi Sol ´e-Casals**

Jordi Sole-Casals holds a permanent position as a Full Professor at the University of Vic–Central ´ University of Catalonia (UVic-UCC) and is the head of the Data and Signal Processing Research Group (DSP). He has been Visiting Scientist (since 2016) at the Department of Psychiatry of the University of Cambridge (UK) and Visiting Scientist (since 2020) at the College of Artificial Intelligence, Nankai University (China). He obtained a PhD degree with a European label in 2000 and a B.Sc. degree in Telecommunications in 1995, from the Polytechnic University of Catalonia, and a B.Hum in 2010, from the Open University of Catalonia. He was Visiting Researcher at the GIPSA Lab. in Grenoble (France), the Lab. for Advanced Brain Signal Processing, BSI-RIKEN in Wako (Japan) and the Tensor Learning Team, RIKEN-AIP, Tokyo (Japan). His research interests include signal processing, machine learning/deep learning and statistical modelling for applied sciences.

### **Zhe Sun**

Zhe Sun is currently a Research Scientist with the Image Processing Research Team, Center for Advanced Photonics, RIKEN National Science Institute, Japan. He is a researcher in the Japanese AVATAR X Project and Fugaku Supercomputer Project. In Fugaku Supercomputer Project, he is focusing on human scale brain simulation. He joined RIKEN, in 2015, as a Research Support Assistant. He obtained a Ph.D. degree in 2017 from Yokohama City University, Japan. He has been a Research Scientist with RIKEN since 2017. Since 2014, his research topics have been the development of the spiking neuron model and spiking neural network to understand and elucidate brain functions. His current research interests include brain inspired vision systems, large-scale brain simulation, high-performance computing and neuromorphic engineering.

### **Cesar F. Caiafa**

Dr. Prof. Cesar F. Caiafa currently holds a permanent position as Independent Researcher (since 2010) at IAR—CONICET and Adjunct Professor (since 2015) at the Engineering Faculty—University of Buenos Aires, Argentina. He has also been Visiting Scientist (since 2018) at the Tensor Learning Team, RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan. He was Research Scientist (2016–2018) at the Psychology and Brain Sciences Department, Indiana University, Bloomington, Indiana, USA. Research Scientist (2008 – 2010) and Visiting Scientist (2011–2018) at Lab. for Advanced Brain Signal Processing, BSI-RIKEN, Wako, Japan. He currently works on the development of machine learning algorithms exploiting tensor decompositions and sparsity with diverse applications ranging from Neuroscience to Astronomy.

### **Pere Marti-Puig**

Pere Marti-Puig received a Ph.D. and an M.Sc. degree in Telecommunications Engineering from the BarcelonaTECH Polytechnic University of Catalonia (UPC), Barcelona, in 2001 and 1993. His current research interests are in the area of signal and image processing with particular emphasis on multiresolution signal processing techniques. He also works on machine learning and statistical modeling for applied sciences. He joined the Engineering Department at the University of Vic–Central University of Catalonia (UVIC-UCC) in 1993 as Assistant Lecturer and was promoted to Lecturer in 1993. He has been teaching and researching the IT area, from signal processing to control theory. He has been involved in several research and development projects.

### **Toshihisa Tanaka**

Toshihisa Tanaka received a B.E., an M.E., and a Ph.D. degrees from the Tokyo Institute of Technology in 1997, 2000, and 2002, respectively. From 2000 to 2002, he was a JSPS Research Fellow. From October 2002 to March 2004, he was a Research Scientist at RIKEN Brain Science Institute. In April 2004, he joined the Tokyo University of Agriculture and Technology, where he is currently a Professor. His research interests include a broad area of signal processing and machine learning, including brain and biomedical signal processing, brainmachine interfaces and adaptive systems. He is a leading co-editor of Signal Processing and Machine Learning for Brain–Machine Interfaces (with Arvaneh, IET, U.K.), 2018.
