Jorge Castro-Godínez
Received his Engineer degree (“Licenciatura”) in Electronics Engineering and the M.Sc. in Electronics Engineering (major in Embedded Systems) from the Costa Rica Institute of Technology. He obtained his Ph.D. at the Chair for Embedded Systems, Institute of Computer Engineering, Karlsruhe Institute of Technology, under the supervision of Prof. Dr. Jörg Henkel. Previously, he worked as an Embedded Systems Engineer at Canam Technology Inc. (2010–2012). He is currently a Lecturer at the Electronics Engineering School, Costa Rica Institute of Technology. He has served as (additional) reviewer for conferences such as DAC, ICCAD, CASES, CODES+ISSS, and FPL, and for journals including IEEE TC, TCAD, TVLSI, and ESL.
Iago Storch
Iago is a Postdoctoral Researcher at the Federal University of Pelotas (UFPel) since 2024. He holds a Ph.D. in Computer Science (2024) from the Graduate Program in Computer Science (PPGC) at the Federal University of Rio Grande do Sul (UFRGS), which included a sandwich period at the Institute for Systems and Computer Engineering, Research and Development (INESC-ID, Lisbon, Portugal) between 2022 and 2023, supported by the CAPES PRINT Program. Iago earned his M.Sc. degree in Computer Science from the PPGC at UFPel in 2020, and his B.Eng. degree in Computer Engineering from the same university in 2019. During his undergraduate studies, he completed an exchange program at the University of Coimbra, Portugal, in 2018. He also holds a technical degree in Electronics (2014) from the Federal Institute of Education, Science and Technology of Rio Grande do Sul (IFSul). Iago is a member of the Video Technology Research Group (ViTech) at UFPel and of the Microelectronics Group at UFRGS. He has received several awards for his scientific contributions, including Best Paper Awards, Honorable Mentions, the CNPq Award for Outstanding Scientific and Technological Initiation (2018), the Best M.Sc. Dissertation Award at WebMedia (2021), the Best Ph.D. Thesis Award at WebMedia (2024), and the Summa Cum Laude distinction for his doctoral dissertation at UFRGS. His current research focuses on parallel processing approaches for video encoding, complexity-reduction techniques for 360° video coding, and coding methods for light field images. Additionally, he serves as a member of the evaluation and technical-scientific committee of the Technology, Engineering, and Science Fair of Mato Grosso do Sul (FETECMS).
Sergio Bampi
Full Professor at the Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Brazil. He holds a Bachelor’s degree in Electronic Engineering (1979) and a Bachelor’s degree in Physics (1979), both from the Federal University of Rio Grande do Sul. He obtained his M.Sc. in Electrical Engineering – Microelectronics (1982) and his Ph.D. in Electrical Engineering – Microelectronics (1986), both from Stanford University. He has extensive experience in Computer Engineering and Electrical Engineering, with an emphasis on hardware design and high-density microelectronic circuits (VLSI). His research interests include digital integrated circuit design, mixed-signal CMOS circuit design, dedicated architectures for video and image processing, signal processing, computer architecture, dedicated hardware accelerators, MOSFET device modeling, electrical characterization of nanodevices, microelectronics, and nanoelectronics.
Maicon Cardoso
Ph.D. in Computer Science (2022), M.Sc. in Computer Science (2017), and B.Sc. in Computer Science (2014), all from the Federal University of Pelotas (UFPel), Brazil. He also holds a B.Sc. in Electrical Engineering (2017) and a Technical Degree in Electronics (2009) from the Federal Institute of Education, Science and Technology of Sul-Rio-Grandense (IFSul). He is currently a Professor at the Center for Technological Development (CDTec) of the Federal University of Pelotas (UFPel). His research interests include the physical synthesis of digital circuits and the development of algorithms for electronic design automation (EDA) tools, both for traditional and emerging technologies.
Rafael Budin Schvittz
Professor at the Center for Computational Sciences, Federal University of Rio Grande (FURG), Brazil. He holds a Bachelor’s degree in Computer Engineering (2014) and a Master’s degree in Computer Engineering (2017), both from the Federal University of Rio Grande, and a Ph.D. in Computer Science from the Federal University of Pelotas (2020). He is a member of the IEEE and its Circuits and Systems Society (CASS) and Computer-Aided Design Technical Committee (CEDA). His main research areas include the Internet of Things (IoT) and monitoring systems using microcontrollers, as well as gate-level circuit evaluation. He has experience in energy consumption analysis (static and dynamic), aging effects (BTI), and fault modeling in logic gates (permanent and transient). Currently, his research focuses on reliability in nanotechnologies, particularly the investigation and application of techniques for designing and evaluating radiation-hardened standard cell libraries at both electrical and layout levels. He also has expertise in the development of Electronic Design Automation (EDA) tools for integrated circuit design and evaluation.
Mariana Siniscalchi
Mariana Siniscalchi holds a degree in Electrical Engineering and a Ph.D. in Electrical Engineering from the Universidad de la República, Uruguay, completed in 2014 and 2020, respectively. She has been actively involved in several research and development projects, with expertise in electronic design at various levels, including transistor-level, integrated circuit (IC), printed circuit board (PCB), and system design. She is currently an Assistant Professor at the Institute of Electrical Engineering of the Universidad de la República, Uruguay. She is also a member of the National Research System of Uruguay and serves as Chair of the IEEE Circuits and Systems Society (CASS) Uruguay Chapter. Her research interests include energy-harvesting circuits for ultra-low-voltage applications, ultra-low-voltage and RF oscillators, and other circuits aimed at Internet of Things (IoT) applications.