Franco Maloberti is a distinguished Professor of Electrical and Computer Engineering at the University of Macau's Faculty of Science and Technology. With a prolific research career spanning over three decades, he has authored over 315 publications in top-tier IEEE journals and conferences, demonstrating sustained scholarly productivity and significant contributions to the field of analog and mixed-signal circuit design. His educational background, though not explicitly detailed in the provided text, is inferred from his research trajectory to include advanced degrees in Electrical Engineering, likely from Italian institutions given his early career patterns. His research focuses on analog circuit design, data converters, low-power systems, biomedical circuits, and power management solutions for modern electronic applications. Professor Maloberti's publication record shows remarkable consistency and impact, with recent work (2020-2024) demonstrating continued innovation in high-speed data converters, biomedical instrumentation, and energy-efficient circuit design. His work bridges theoretical advances with practical implementations, often addressing challenges in emerging applications like implantable medical devices, high-speed communication systems, and edge computing architectures. His scientific contributions include pioneering work in data converter architectures, low-voltage circuit techniques, and power management solutions. The breadth of his research is evident in publications spanning IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and major conferences like ISCAS, ISSCC, and ESSCIRC. Professor Maloberti has mentored numerous researchers who have become prominent in the field, including Edoardo Bonizzoni, Rui Paulo Martins, and Sai-Weng Sin. His collaborative network spans institutions worldwide, with particularly strong ties to the University of Macau where his recent work is primarily conducted. His laboratory focuses on cutting-edge research in analog and mixed-signal integrated circuits, with current projects addressing challenges in biomedical instrumentation, high-speed data conversion, and energy-efficient circuit design for next-generation electronic systems.









