Shreya Kshirasagar received the B.E. degree in Electronics and Communication Engineering from Visvesvaraya Technological University, Belagavi, India in 2017, and the M.Sc. degree in Microelectronics with a focus on Neuromorphic Computing from Circuits and Systems group, Dept. of Microelectronics and Computer Engineering, Delft University of Technology, Delft, The Netherlands, in 2021. She is currently pursuing a Ph.D. degree with Research division, Robert Bosch GmbH, and Technische Universität Dresden under the guidance of Prof. Christian Mayr. She was a Design Engineer for EV Battery Management System with Mercedes Benz Research and Development, Bangalore, India between 2017 and 2019. She worked with Fraunhofer Institute for Integrated Circuits (IIS) for SNN Hardware architecture and Embedded AI topics, Erlangen, Germany between 2021 and 2023.

Andre Guntoro received the BS degree in Electronics from Universitas Kristen Petra (2000), MS degrees in Telecommunication from Fachhochschule Darmstadt (2003) and in Information and Communication Engineering from Technische Universität Darmstadt (2004), and Dr.-Ing. degree in microelectronics from Technische Universität Darmstadt (2009), with a focus on flexible wavelet processor design and implementation. Since 2011, he has been with the Research Division, Robert Bosch GmbH, focusing on embedded machine learning, where he leads the research activities in machine learning and deep learning specialized for automotive and the IoT devices.

Christian Mayr received the M.Sc. degree in Electrical Engineering in 2003, his PhD in 2008 and Habilitation (University teaching qualification) in 2012, all three from Technische Universität Dresden, Germany. From 2003 to 2013, he was with the Chair of Highly-Parallel VLSI-Systems and Neuro-Microelectronics at Technische Universität Dresden, with a secondment to Infineon AG Munich (2004-2006). From 2013 to 2015, he was working as researcher at Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland. Since 2015 he holds the Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits. His research interests include bio-inspired circuits, biologically inspired artificial intelligence, brain–machine interfaces, AD converters, pixel sensors and general mixed-signal VLSI design.