Find Academic Supervisors

• Analog Circuits Design
• CMOS Technology
• Signal Processing
• +3 more

Ramón González Carvajal is a distinguished academic with extensive contributions in analog and mixed-signal integrated circuit design, IoT systems, and sensor networks. His research focuses on low-voltage CMOS circuits, high-performance operational amplifiers, and energy-efficient signal processing. He has collaborated extensively with institutions on advancements in smart infrastructure and sustainable energy systems. Key research areas include: Low-power analog circuit design CMOS-based transconductors and amplifiers IoT-enabled sensor networks for industrial and environmental monitoring Blockchain scalability through sharding protocols His recent work emphasizes machine learning applications for energy economy prediction and augmented reality systems for workplace safety. Over 196 publications demonstrate his impact in circuits, systems, and emerging technologies.

Lars FhagerView profile

Senior Lecturer

• Electronics Engineering
• Nanotechnology
• Telecommunications
• +3 more

Lars Fhager is an Associate Senior Lecturer at Lund University's Department of Electrical and Information Technology, affiliated with LTH's Profile Areas in AI and Digitalization, Nanoscience and Semiconductor Technology, and Light and Materials. He serves as a Principal Investigator at NanoLund: Centre for Nanoscience. Education: MSc in Engineering Nanoscience (2010), PhD in Electrical Engineering (2015), both from Lund University. Research Interests : Millimeter-wave/sub-terahertz circuit design, III-V transistor technologies, pulse-based communication systems, high-speed device modeling, radar imaging, and integrated transceiver circuits. Current work focuses on wideband design techniques and energy-efficient nanoelectronics. Projects : Led the SEQUENCE project (2020–2023) on cryogenic 3D nanoelectronics and contributed to the INSIGHT project (2015–2019) on III-V nanowire semiconductor integration. Labs/Teams : Active in NanoLund and the Advanced Chip Technology (ACT) initiative.

• Artificial Vision
• CMOS Technology
• Image Recognition
• +3 more

Diego Cabello Ferrer is a Professor at the University of Santiago de Compostela’s Department of Electronics and Computing under the Faculty of Physics. His research focuses on advanced CMOS technologies, embedded vision systems, energy harvesting, and biomedical devices. He holds a PhD from the same university (1984), specializing in cybernetic systems and microprocessor-based analysis of animal behavior. Education: PhD in Electronics and Computing, University of Santiago de Compostela (1984). His work spans artificial vision algorithms, low-power CMOS sensor design, and micro-energy harvesting systems. Key contributions include vision sensors with in-pixel computation, ultra-low power voltage regulators for biomedical implants, and solar energy harvesting integrated circuits. His research emphasizes real-time image processing, edge computing for embedded systems, and hardware acceleration for neural networks. Publications highlight innovations in CMOS vision sensors for background subtraction, energy-efficient LDO designs, and hyperdimensional computing architectures. His teams have developed perpetual wireless sensor networks for environmental monitoring and Snail pest detection. Current efforts focus on in-memory computing with FeFETs and SRAM-based neural network accelerators. Labs/Teams: Center for Research in Intelligent Technologies (CITIUS). Grants & Collaborations: Projects include iCaveats (embedded vision architectures) and energy harvesting integration in biomedical devices. His work bridges theoretical signal processing with practical hardware implementations, addressing challenges in power efficiency, miniaturization, and real-time performance for embedded vision systems.

Natalia Seoane IglesiasView profile

Associate Professor

• Semiconductor Device Simulation
• Nano-Device Variability
• Parallel and Distributed Computing
• +3 more

Natalia Seoane Iglesias serves as an Associate Professor in the Department of Applied Physics at the University of Santiago de Compostela's College of Physics. Her research integrates semiconductor device physics with high-performance computing to address challenges in next-generation electronics and energy conversion systems. B.Sc. in Physics, University of Santiago de Compostela (Spain) Ph.D. in Physics, University of Santiago de Compostela (2007) Postdoctoral research: University of Glasgow (2007-09), University of Edinburgh (2011), Swansea University (2013-15) Her research focuses on semiconductor device simulation , nanoscale variability analysis , and laser power conversion systems . She develops advanced computational tools combining 3D finite-element modeling with machine learning techniques to optimize device performance. Current projects target ultra-high efficiency (>80%) SiC-based laser converters for space applications and statistical variability studies in sub-10nm transistor architectures. Her publication portfolio reveals strong trends in machine learning-enhanced TCAD and high-concentration photovoltaics . Recent work demonstrates how vertical epitaxial heterostructures with SiC/GaN materials can overcome traditional efficiency barriers in wireless power transfer systems, while her nanoscale variability studies provide critical insights for future CMOS scaling. Key scientific contributions include: Development of MLFoMpy for semiconductor data post-processing Novel Pelgrom-based predictive models for device variability Breakthrough laser power converter architectures exceeding 80% efficiency Comprehensive studies of metal grain effects in nanosheet FETs She leads the rePowerSiC project (2024-2028) developing space-qualified laser power systems and contributes to multiple EU-funded initiatives in high-performance computing. Her team employs advanced simulation frameworks including VENDES and Silvaco Atlas for device characterization, with applications ranging from satellite power systems to refinery monitoring drones.

• Low-Power Electronics
• VLSI Design
• Network Security
• +2 more

Sivakumar S A is a researcher actively contributing to the fields of low-power electronics and network security. His work spans affiliations with institutions such as Dr. N.G.P. Institute of Technology, Kalaignarkarunanidhi Institute of Technology, and Karpagam College of Engineering, focusing on cutting-edge applications in digital VLSI systems and wireless sensor networks. Research interests include: Low-energy operation in wireless sensor nodes Subthreshold circuit design for biomedical applications Energy-efficient security protocols for resource-constrained networks Optimization of firewall policies in wireless environments Recent publications highlight his expertise in subthreshold level shifters and energy-aware security frameworks. Notable journals include Analog Integrated Circuits and Signal Processing and Security and Privacy .

Jacek JakuszView profile

Associate Professor

• Microelectronics
• Analog Circuit Design
• Low-Power Electronics
• +2 more

Dr hab. inż. Jacek Jakusz serves as an Associate Professor in the Department of Microelectronic Systems at Gdańsk University of Technology's Faculty of Electronics, Telecommunications and Informatics. His research focuses on cutting-edge microelectronic circuit design with applications in auditory systems and image sensors. His primary research domains span analog circuit design , low-power electronics , and signal processing . Specializing in tunable filter architectures for cochlear implants and novel ADC implementations for CMOS image sensors, his work bridges theoretical circuit design with practical biomedical and imaging applications. Key innovations include subthreshold operation techniques for nanowatt power consumption and embedded filtering within analog-to-digital conversion processes. Analysis of his recent publications (2022-2024) reveals strong emphasis on tunable filter topologies and energy-efficient sensor interfaces , with consistent publication in high-impact electronics journals. His work demonstrates particular expertise in quality factor tuning mechanisms and on-ramp signal processing techniques for image sensors. Professor Jakusz maintains active research collaboration evidenced by multi-author publications with colleagues including W. Jendernalik, G. Blakiewicz, and S. Szczepański. His laboratory work appears centered on CMOS-based microelectronic systems for auditory and visual signal processing applications.