Sameer Sonkusale

Sameer Sonkusale is a Professor of Electrical and Computer Engineering at Tufts University with joint appointments in the departments of Biomedical Engineering, and Chemical and Biological Engineering. He held visiting appointments at the Wyss Institute, Harvard University and Brigham and Women’s Hospital, Harvard Medical School and served as associate dean of graduate education at School of Engineering, Tufts University. Dr. Sonkusale’s research is focused on biomedical devices, sensors, circuits and systems, flexible bioelectronics, point-of-care diagnostics, precision medicine and miniaturized bioinstrumentation.

Dr. Sonkusale received MS and PhD in Electrical Engineering from the University of Pennsylvania. He has received several awards including the National Science Foundation CAREER award. Dr. Sonkusale is on the editorial boards of Scientific Reports, IEEE Transactions on Biomedical Circuits and Systems, Journal of Low Power Electronics and Application, Chips, PLoS One, and Electronic Letters and a senior member of the IEEE, and OSA, MRS, BMES and AAAS member.

Antti Vehkaoja

Antti Vehkaoja received his D.Sc. (Tech.) degree in automation science and engineering and obtained a title of docent in methods for physiological monitoring from Tampere University of Technology, Tampere, Finland in 2015 and 2017, respectively.
He is currently an Associate Professor (tenure track) of Sensor Technology and Biomeasurements at the Faculty of Medicine and Health Technology, Tampere University, Finland.
He has authored more than 100 scientific articles in biomedical engineering domain, a major part dealing with wearable sensors for physiological measurements.
His research interests include development of photoplethysmography sensors and other wearable embedded measurement technologies for physiological measurements and related signal processing and data analysis methods.

Christoph Hoog Antink

Christoph Hoog Antink received the M.S. degree in mechanical engineering from the University at Buffalo, USA, in 2011, and the Dipl. Ing. and Dr. Ing. (Ph.D.) degrees in electrical engineering from RWTH Aachen University, Germany, in 2012 and 2018, respectively. Until 2020, he was the Head of the Medical Signal Processing Group at the Chair for Medical Information Technology, RWTH Aachen. Since then, he is an Assistant Professor (tenure track) and the Head of KIS*MED (AI Systems in Medicine Laboratory), TU Darmstadt, Germany. His research interests include unobtrusive sensing of vital signs, sensor fusion, and machine learning in medicine.

Eduard Llobet

IEEE Senior Member, PhD from the UPC-Barcelona Tech (1997). Full Professor of Electronics (2009). Distinguished Professor (2019). Group Leader with research interests in nanomaterials (metal oxide nanowires, 2D and 3D transition metal di-chalcogenides, functionalized graphene) and their integration in microsystems for detecting pollutant/hazardous gases at trace levels. From 2010 to 2014 he was the Director of the Centre for Research in Materials Engineering and Micro / Nano Systems (URV) and vice-president of the Spanish IEEE Sensor Chapter. President of the Spanish Network of Microsystems and Nanotechnology (IBERNAM). Co-author of over 250 peer-reviewed journal papers (h = 56), editor of 3 books, has given some 35 invited lectures at international conferences and led over 35 regional, national and international projects. Founder of the spinoff Green Smart Data. In 2012 he received the URV’s RQR award and the ICREA Academia award (in 2012 and 2018).

Kianoush Rassels

Kianoush Rassels received his master’s degree in electronics from Delft University of Technology in the Netherlands in 1998. He started his career in the nano-technology and continued his career in the medical field at national and international level for over 23 years. Along the course of his career, he did voluntary research in the segmentation of the heart’s coronary arteries with Computed-Tomography. He is a seasoned Research & Development Director with board experience, and business background at international level. His research interests are in Bio-Remote sensing, IoT, Grid Computing and embedded systems in the medical field and in particular applied research related to the neonates and elderly.

Paddy French

Paddy French received his B.Sc. in mathematics and M.Sc. in electronics from Southampton University, UK, in 1981 and 1982, respectively. In 1986 he obtained his Ph.D., also from Southampton University, which was a study of the piezoresistive effect in polysilicon. After 18 months as a post doc at Delft University, The Netherlands, he moved to Japan in 1988 and worked on automotive sensors at the Central Engineering Laboratories of Nissan Motor Company. He returned to the Electronic Instrumentation Laboratory (TU Delft) in 1991. In 1999 he was awarded the Antoni van Leeuwenhoek chair and was from 2002 to 2012 head of the Electronic Instrumentation Laboratory. In 2019 he moved to the bioelectronics Laboratory. He was Editor-in-chief of Sensors and Actuators A and General Editor of Sensors and Actuators A&B from 2002-2018. He is an IEEE Fellow and the IAAM. His research interests are integrated sensor systems, technology in particular for medical and environmental applications.

Shideh Kabiri Ameri

Dr. Shideh Kabiri Ameri is an Assistant Professor in the Department of Electrical and Computer Engineering and cross appointed faculty at the Center for Neuroscience Study (CNS) at Queen’s University, Canada. Her research is mainly focused on two dimensional materials based electronics with applications in sensing, bioelectronics, wearables, internet of things (IoT) and human machine interfaces (HMI). Her research has been recognized internationally and repeatedly highlighted by major international media and news outlets.

Karthik Shankar

Karthik Shankar is Professor of Electrical & Computer Engineering at the University of Alberta. He completed M.S. (2002) and Ph.D. (2007) degrees in Electrical Engineering at the Pennsylvania State University. He was an Eastman Kodak research fellow (2003) at Penn State University. He joined the University of Alberta in 2009. From 2012-2017, he held a secondment to Canada’s NRC National Institute for Nanotechnology as a Research Officer. He is a recipient of the Petro-Canada Young Innovator Award. He has authored over 150 journal articles that have collectively been cited almost 20,000 times. He has a h-index of 55.

Mohammad Hossein Zarifi

Mohammad Hossein Zarifi (Senior Member, IEEE), received the B.Sc., MSc. and Ph.D. degree in electrical and computer engineering from the University of Tabriz, Iran, in 2004, 2006 and 2009 respectively. He is currently an Assistant Professor with the School of Engineering at the University of British Columbia, and the Director of Okanagan MicroElectronics and Gigahertz Applications (OMEGA) Laboratory, Canada. Dr. Zarifi has authored or coauthored more than 100 papers in peer-reviewed journals and conference proceedings as well as 6 issued or pending patents. Dr. Zarifi received CMC-NRC first place award, on industrial collaboration, for the innovative microwave sensors, in Canada, in 2015. Dr. Zarifi’s research focus includes low-power, high-speed analog circuits, analog-to-digital converters for biomedical and communication applications, and microwave planar structures for sensing applications.

M.P. Pina

Is vice-President of the Spanish Network of Microsystems and Nanotechnology (IBERNAM) and deputy director of the Instituto de Nanociencia y Materiales de Aragón (CSIC-Unizar). She has co-authored over 80 peer-reviewed journal papers, 7 book chapters and holds 4 patents. Principal investigator of over 30 regional, national and international competitive projects and research contracts (a dozen related to Security and Defence Applications). Her research efforts are focused on the development of microdevices for the molecular recognition of hazardous compounds and toxic chemicals at trace level where pre-concentration, orthogonal detection and identification using SERS Spectroscopy (Surface Enhanced Raman Spectroscopy) are carried out. Her main contributions involve the use of ordered nanoporous materials, i.e. zeolites, M41S and MOFs, in combination with metallic nanostructures to promote synergetic effects. This line arises from the need to create multi-sensor platforms that are not only sensitive, robust, fast and low cost, but also highly selective, capable of discriminating the analyte of interest in complex mixtures.