Samira Sayedsalehi received her M.Sc. degree in computer engineering in 2008 and her Ph.D. in computer engineering in 2012 from the Science and Research Branch of the Islamic Azad University, Tehran, Iran. She served as a faculty member in the Department of Computer Engineering at the South Tehran Branch, Islamic Azad University. Currently, she is a senior researcher in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. Her research interests include nanoelectronics, with an emphasis on quantum-dot cellular automata, CNFET, computer architecture, and quantum computing.

Nader Bagherzadeh is a professor of computer engineering in the Department of Electrical Engineering and Computer Science at the University of California, Irvine, where he served as the Department Chair from 1998 to 2003. Dr. Bagherzadeh has been involved in research and development in the computer architecture areas: reconfigurable computing, VLSI chip design, Network-on-Chip, 3D ICs, computer graphics, memory systems, machine learning accelerators, and quantum computing.  He received a Ph.D. degree from the University of Texas at Austin in 1987. He is a Fellow of the IEEE. Professor Bagherzadeh has published more than 350 articles in peer-reviewed journals and conferences. His former students have assumed key positions in software and computer systems design companies in the past thirty-five years. He has been a PI or Co-PI of research grants for developing the next generation computer systems for applications in general purpose computing and digital signal processing, as well as other related areas.

Alberto A. Del Barrio (SM’19) received his Ph.D. degree in Computer Science from the Complutense University of Madrid (UCM), Madrid, Spain, in 2011. He has performed stays at Northwestern University, the University of California at Irvine, and the University of California at Los Angeles. Since 2021, he has been an Associate Professor (tenure-track, civil-servant) of Computer Science with the Department of Computer Architecture and System Engineering, UCM. His main research interests include Design Automation, Arithmetic, Analog/Quantum Computing, and their application to the field of Artificial Intelligence. Dr. del Barrio has been the PI of the PARNASO project, funded by the Leonardo Grants program by Fundación BBVA, and currently, he is the PI of the ASIMOV project, funded by the Spanish MICINN, which includes a work package to research on the applicability of Quantum Computing. Since 2019 he has been an IEEE Senior Member, and since December 2020, he has been an ACM Senior Member, too.

Guillermo Botella received his M.Sc. degree in Physics (Fundamental) in 1998, M.Sc. degree in Electronic Engineering in 2001, and Ph.D. degree (Computer Engineering) in 2007, all from the University of Granada, Spain. He was a research fellow funded by the EU working at the University of Granada, Spain, and the Vision Research Laboratory at University College London, UK. He has had research stays and he also served as a visiting professor from 2008 to 2012 at the Department of Electrical and Computer Engineering, Florida State University, Tallahassee, USA. He is a Senior Member of the IEEE. Since 2019, he has been an Associate Professor (tenured) of Computer Science with the Department of Computer Architecture and System Engineering, UCM. His main research interests include Analog/Quantum Computing, and Signal Processing for VLSI, FPGAs, and GPGPUs. Dr. Botella has been nationally habilitated to be a Full Professor since 2022. He has played a leading role in several projects, some in collaboration with IBM and Santander Bank.

Ratko Pilipović holds a B.Sc. and M.Sc. degree from the Faculty of Electrical Engineering at the University of Banja Luka, Bosnia and Herzegovina, which he received in 2015 and 2017, respectively. In 2021, he completed his PhD at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia, where he currently works as an assistant professor. His research interests include approximate computing, arithmetic circuit design, FPGA design, embedded processing, machine learning, and quantum computing.