Find Academic Supervisors

• Integrated Circuits
• Microelectronics
• Power Management Systems
• +5 more

Marcelino Santos is a Full Professor at the University of Lisbon's College of Engineering, affiliated with INESC-ID research institute. He teaches courses such as Testable Integrated Circuits, Microelectronics, and Integrated Circuit Systems. His research focuses on analog/mixed-signal design, power management systems, biomedical circuits, and IoT applications with an emphasis on reliability and energy efficiency. Recent work includes high-precision temperature sensors, power management unit automation, and fault-tolerant circuit design. Publications highlight advancements in integrated circuit design (e.g., voltage references, modulators), biomedical applications (electrodermal activity sensing), and renewable energy systems (agri-PV integration). He has contributed to over 50 peer-reviewed articles spanning 20+ years, demonstrating sustained innovation in both technical and biomedical domains. Collaborations include industry partnerships for EDA tools (ActivIC) and medical device development. No scientific awards are explicitly listed, but his prolific output indicates significant contributions to multiple engineering disciplines. His work often bridges theoretical circuit design with practical applications in healthcare and sustainable energy sectors.

Markus AllénView profile

Lecturer

• Digital Predistortion
• Power Amplifiers
• Automotive Radar
• +5 more

Markus Allén is a University Lecturer in the Department of Electrical Engineering at Tampere University, affiliated with the Faculty of Information Technology and Communication Sciences. His research focuses on digital signal processing, RF systems, and wireless communication technologies. He holds a Doctor of Science (Technology) and Master of Science in Telecommunications Technology from Tampere University. Research Interests: Dr. Allén specializes in digital predistortion techniques for power amplifiers, automotive radar systems, millimeter-wave communication, and wireless power transfer. His work emphasizes practical implementations with low-complexity algorithms and hardware-efficient solutions. Key areas include 5G transmitter linearization, near-ground propagation modeling, and signal processing for automotive applications. Publications: His recent work includes advancements in delta-sigma modulator-based predistortion, passive reflector-enhanced radar systems, and RF energy transfer. Over 48 publications span journals like IEEE Transactions on Circuits and Systems and IEEE Transactions on Vehicular Technology. Collaborations: Active in international collaborations, his research often involves industry partners for prototyping (e.g., SDR prototypes for 5G NR uplink). He has reviewed for top journals including IEEE Transactions on Wireless Communications and IET Microwaves, Antennas & Propagation. Labs/Teams: Works within Tampere University's RF and Antenna Research Group, contributing to projects on cognitive radios, automotive radar, and next-generation wireless systems.

Sebastian SternView profile

Researcher

• Wireless Communications
• MIMO Systems
• Lattice Coding
• +3 more

Dr.-Ing. Sebastian Stern serves as a Senior Researcher at the Institute of Communications Engineering, Ulm University, Germany. His research focuses on advanced communication systems with particular expertise in MIMO transmission, lattice-based coding, and optical communications. Stern maintains active collaborations with researchers including Robert F.H. Fischer and Johannes K. Fischer across multiple publications. His educational background includes a dissertation titled Advanced Equalization and Coded-Modulation Strategies for Multiple-Input/Multiple-Output Systems (2019) from Ulm University, building upon his Master's thesis Comparison of the peak value behavior of single- and multi-carrier methods (2012) which earned the VDE Award for Outstanding Master Thesis. Stern's research interests span wireless communications, optical transmission systems, and advanced signal processing techniques. His work demonstrates significant contributions to 4D constellation design using Hurwitz and Eisenstein integers, lattice reduction methods for MIMO systems, and non-binary coding schemes for high-throughput fiber-optic communication. Recent publications show expanding work into quaternionic lattices and AI applications for network security. His publication record shows consistent output since 2013 with 25+ journal and conference papers, including high-impact publications in IEEE Transactions on Information Theory and Journal of Lightwave Technology. Recent work (2023-2025) demonstrates continued innovation in integer-forcing techniques, quaternionic Minkowski reduction, and 4D constellation optimization. VDE Award for Outstanding Master Thesis (2013) Stern has taught multiple courses at Ulm University including Communications Engineering lab courses, Multiuser Communications and MIMO Systems exercises, and Signale und Systeme tutorials between 2013-2017. His teaching experience complements his research in practical implementation of advanced communication techniques.

• Electronics Engineering
• Computer Science
• Fault-Tolerant Systems
• +7 more

Marta Portela Garcia is an Associate Professor at the University Carlos III de Madrid, where she holds a position in the Academic Department of Electronic Technology. She is affiliated with the Microelectronic Design and Applications (DMA) research group and the University Institute on Gender Studies. Her expertise bridges hardware design, fault tolerance, and embedded systems reliability, with a focus on aerospace and medical technologies. Her research spans fault-tolerant hardware architectures, radiation effects on electronic circuits, affective computing for wearable devices, and cryptographic techniques for secure communication. Recent work includes advancing post-quantum cryptography for sensor networks and improving dependability in edge computing systems. Publications emphasize innovations in circuit hardening, fault injection methodologies, and FPGA-based co-design solutions. Notable contributions include radiation-resistant systems for space applications and emotion recognition via physiological signals. While no formal advisees are listed, her collaborative projects and research groups suggest strong involvement in academic mentorship. Grants and funding details are not explicitly stated in the provided texts. She actively contributes to the DMA research group and the University Institute on Gender Studies, integrating interdisciplinary approaches to solve challenges in microelectronics and technology ethics.

Aydin KarsilayanView profile

Associate Professor

• Radio Frequency Circuits
• Baseband Circuits
• Signal Processing
• +5 more

Aydin Karsilayan is an Associate Professor and Director of Undergraduate Programs in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He holds a Ph.D. (2000) from Portland State University and B.S./M.S. degrees (1993/1995) in Electrical Engineering from Bilkent University. His research focuses on radio frequency circuits , baseband systems , and signal processing , with contributions to energy harvesting for medical devices, wireless power transmission, and robust communication systems. Notable work includes high-efficiency CMOS rectifiers, blocker-tolerant ADC designs, and interference-resilient transceivers. His recent publications (2019–2023) emphasize RF circuit optimization , low-power analog design , and mixed-signal systems . Key trends include improving ADC resilience to blockers, enhancing rectifier efficiency for wireless power, and developing tunable filters for 5G/cognitive radio applications. Awards: Outstanding Ph.D. Student Award (Portland State University) Memberships: IEEE, Tau Beta Pi, Eta Kappa Nu His advising and grants focus on graduate research in analog/mixed-signal circuits. He has contributed to lab initiatives in energy harvesting and high-frequency receiver design at Texas A&M.

Pedram MohseniView profile

Professor

• Neuroengineering Microsystems
• Biomedical Microtelemetry
• Wireless Brain-Machine Interfaces
• +4 more

Pedram Mohseni is the Department Chair and Goodrich Professor for Engineering Innovation in the Department of Electrical, Computer, and Systems Engineering at Case Western Reserve University's Case School of Engineering. His research focuses on neuroengineering microsystems, biomedical microtelemetry, and wireless brain-machine interfaces. He holds a PhD, MS, and BS in electrical engineering. His educational background includes degrees from prestigious institutions, though specific alma maters are not detailed here. Research interests span low-power integrated circuits, neural interface systems, and point-of-care diagnostic platforms. Mohseni has pioneered advancements in capacitive power transfer for biomedical implants and developed innovative dielectric sensors for hemostasis assessment. His publications (2017–2021) emphasize wireless neural interfaces, compressive sensing algorithms, and low-power biomedical circuit designs. Notable work includes the ClotChip microfluidic sensor and brain-spinal interface SoCs. Awards: Goodrich Professor of Engineering Innovation (2020) Patents: Includes neural prosthetic devices and dielectric sensor technologies Grants/Advising: Leads interdisciplinary projects at the intersection of circuits, neuroscience, and clinical diagnostics He co-leads labs focused on neural microsystems and has collaborations with clinical partners like University Hospitals. His work bridges circuit design with translational medical applications.

Marco StoraceView profile

Professor

• Nonlinear Circuits
• Power Electronics
• Model Predictive Control
• +4 more

Marco Storace is a Full Professor at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa. His research focuses on nonlinear circuits, power electronics, and control systems, with a particular emphasis on inductor modeling for switch-mode power supplies (SMPS), model predictive control (MPC) algorithms, and synchronization phenomena in adaptive networks. Recent research highlights include the development of nonlinear behavioral models for ferrite-core and amorphous-core inductors, FPGA implementations of nonlinear MPC for power converters, and studies on cluster synchronization in networks with neural plasticity. His work bridges theoretical advancements in nonlinear dynamics with practical applications in energy systems and biomedical engineering. Marco Storace has received recognition for his contributions to modeling techniques, control system design, and neural connectivity analysis. He has developed toolboxes such as MOBY-DIC for embedded MPC and BAL for dynamical system analysis, advancing methodologies in circuit design and computational neuroscience. He teaches courses on circuit theory, nonlinear circuits and systems, and power management at both undergraduate and master's levels. His teaching integrates advanced concepts with hands-on laboratory work, emphasizing the design and analysis of nonlinear and programmable systems.

• Analog/Mixed Signal Design
• Biomedical Sensor Design
• Hardware Security
• +3 more

Arindam Sanyal is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University . Prior to joining ASU, he served as an Assistant Professor at the University at Buffalo (SUNY) and worked as an Analog Design Engineer at Silicon Laboratories (2015-2016). He earned his PhD in Electrical and Computer Engineering from the University of Texas at Austin (2015), an M.Tech from IIT Kharagpur (2009), and a B.E. in Electrical Engineering from Jadavpur University (2007). Education : PhD (University of Texas at Austin), M.Tech (IIT Kharagpur), B.E. (Jadavpur University) Research Areas : Analog/Mixed Signal Circuits, Biomedical Sensors, Hardware Security, Neuromorphic Computing, Machine Learning in Circuits, Low-Power Electronics His recent work focuses on integrating machine learning with analog/mixed-signal circuits for real-time health monitoring, hardware security, and energy-efficient AI. Publications highlight trends in VCO ADCs , Reservoir Computing , and Stochastic Delta-Sigma Modulators . A notable NSF CRII Grant (2020) supports his research on analog AI for environmental monitoring. Teaching includes courses like Analog Integrated Circuits and Analog to Digital Converters . He leads the Mixed Signals Lab at ASU, developing flexible electronics and sensor fusion systems.

Hanspeter SchmidView profile

Professor

• Fast low-power circuits
• Sensor electronics
• Signal integrity
• +4 more

Prof. Dr. Hanspeter Schmid serves as a Professor at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) within the School of Engineering and Environment, specifically at the Institute for Microelectronics. He also holds a part-time position as a senior lecturer at ETH Zurich teaching Analog Signal Processing and Filtering. Dr. Schmid earned his diploma in electrical engineering (1994), post-graduate degree in information technologies (1999), and Doctor of Technical Sciences (2000), all from ETH Zurich. His career began at ETH Zurich as a teaching assistant in 1994, progressing to research assistant and junior lecturer in analog integrated filters. From 2000-2005, he worked as an analog-IC designer with Bernafon AG developing hearing aid IC platforms. He joined FHNW's Institute of Microelectronics as a research fellow in 2005 and became a full professor in February 2012. His research focuses on fast low-power circuits for sensor electronics, signal integrity in analog signal processing, and sigma-delta modulation. Dr. Schmid's scholarly work bridges theoretical foundations with practical applications, particularly in switched-capacitor circuits, noise analysis, and measurement methodologies. His publications consistently address both theoretical aspects and implementation challenges in analog circuit design. Dr. Schmid has held significant professional positions including IEEE CAS Analog Signal Processing Technical Committee Co-Chair (2008-2010), Associate Editor for IEEE Transactions on Circuits and Systems I (2007-2011) and II (2016-2017), member of the ESSCIRC technical committee until 2019, and Distinguished Lecturer of the IEEE CAS Society (2011-2012). At FHNW, he teaches Signal Processing, Analog Circuits, and Mixed-Signal Circuits while participating in research projects such as "Authenticity in Music," collaborating with the Academy of Music to develop digital simulation methods for electronic equipment. His academic work spans educational and research domains, contributing to advancements in microelectronics and signal processing with practical applications in sensor technology and audio systems.

Michael KraftView profile

Professor

• Micro- and Nanosystems
• MEMS
• Bio-medical Sensors
• +4 more

Michael Kraft serves as Full Professor in KU Leuven's Department of Electrical Engineering, leading the Micro- and Nano-systems (MNS) research division. He also directs the Leuven Institute for Micro- and Nanoscale Integration (LIMNI) and holds a guest professorship at imec, leveraging 25+ years of expertise in micro/nanosystems for global challenges in sustainability, healthcare, and security. Education: 1993: Dipl.-Ing. Univ. Electrical Engineering, Friedrich Alexander University, Erlangen-Nuernberg 1997: PhD, Coventry University (UK) 1998-1999: Postdoctoral Researcher, UC Berkeley His research spans MEMS, bio/chemical sensors, physical microsensors, MEMS interface circuits, and atom/ion chips. He pioneers innovations in sensor precision, microfabrication, and quantum applications, translating theoretical concepts into devices addressing climate change and medical diagnostics through interdisciplinary collaboration. Recent publications (2012-2020) reveal dominant trends in high-sensitivity accelerometers, piezoelectric ultrasound transducers, and microfluidic biosensors, with growing emphasis on quantum MEMS and advanced SOI fabrication techniques. Cross-cutting themes include noise reduction, energy efficiency, and multi-physical sensing integration. Scientific Awards: None documented in source material. Kraft oversees the Cleanroom and MEMS operations at Leuven Nanocentre, mentoring researchers in sensor design and fabrication while securing institutional support for nanofabrication infrastructure. His leadership in LIMNI drives strategic partnerships with imec and industry consortia.

• Power Electronics
• Digital Control Systems
• Signal Processing
• +3 more

Dr. James Mooney is a Lecturer in the Faculty of Engineering and Informatics, Department of Computer and Software Engineering. His research focuses on power electronics, digital control systems, and energy efficiency, contributing to sustainable development goals. Research interests include: Power Electronics Digital Control Systems Signal Processing Energy Efficiency Machine Learning His recent publications highlight advancements in DC-DC converters, context-aware collision detection for motorcyclists, and neural network applications for building energy efficiency. Article trends span power electronics, transportation safety, and sustainable energy systems. External roles include Postdoctoral Researcher (2011–2014) and PhD Researcher (2006–2011) at the University of Limerick.

Lucien BreemsView profile

Professor

• Analog-to-Digital Converters
• Sigma-Delta Modulation
• High-Speed Electronics
• +3 more

Lucien Breems is a part-time Professor at the Department of Electrical Engineering , Eindhoven University of Technology. His research focuses on Sigma-Delta Analog-to-Digital Conversion , emphasizing stability estimation , loop filter optimization , and quantization noise reduction in high-speed and low-power ADCs. Research Interests: He specializes in ultra-high-speed Sigma-Delta modulators , low-power ADC design , and medical electronics applications , including implantable devices and multi-standard radio systems . Publications: His recent work includes advancements in passive-beamforming ADC architectures , noise-shaping techniques , and excess loop delay compensation , with contributions to both journal and conference proceedings in circuits and systems. Awards: Recognized as an NXP Fellow , he has held leadership roles in hardware engineering at NXP Semiconductors since 2007.

Bas VermulstView profile

Assistant Professor

• Power Electronics
• High-Precision Power Systems
• Automotive Electronic Systems
• +7 more

Bas Vermulst is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He is affiliated with the Electromechanics and Power Electronics group, the Power Electronics Lab, and the High Tech Systems Center. Research Interests His work focuses on high-performance and high-precision power electronics, with applications in automotive systems, medical imaging, semiconductor lithography, and renewable energy. He explores advanced converter topologies (e.g., multi-port active bridges), wide-bandgap semiconductors (GaN/SiC), and control strategies for efficiency optimization. Article Trends Recent publications emphasize modular power converter design, plasma processing applications, GaN transistor switching, and thermal stress reduction techniques. Key themes include zero-voltage switching, delta-sigma modulation, and high-frequency systems. Labs & Groups Electromechanics and Power Electronics Group Power Electronics Lab High Tech Systems Center

Mark HaltonView profile

Associate Professor

• Autonomous Vehicles
• Trajectory Prediction
• Power Electronics
• +3 more

Mark Halton serves as an Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His office is located in room A2-010, and he can be contacted via email at mark.halton@ul.ie or by phone at +353-(0)61-202678. His research spans two primary domains: autonomous vehicle trajectory prediction and digital control of power converters. In autonomous systems, he develops multi-sensor, multi-agent trajectory prediction frameworks using bird's-eye-view representations, graph neural networks, and HD map integration for safety-critical applications. In power electronics, his work focuses on robust digital control of DC-DC converters, including digital pulse width modulation, phase alignment techniques, and structured singular value analysis for stability. Halton's publication trajectory demonstrates a clear shift from foundational power electronics research (2010-2015) to cutting-edge autonomous vehicle systems (2023-2025). His recent work integrates deep learning with classical control theory to address uncertainty in trajectory prediction, while maintaining strong contributions to efficiency optimization in power conversion systems through novel digital controller architectures.

• Nanoelectronics
• Analog and Digital Circuits
• Signal Processing
• +3 more

Jørgen Andreas Michaelsen is an Associate Professor at the Department of Informatics, University of Oslo. He is affiliated with the Nanoelectronics (NANO) research group. His research focuses on nanoelectronic systems, analog and digital circuit design, radar systems, wireless sensor networks, and multimedia networking. He holds a Cand.Scient. (Master's equivalent) in Informatics from the University of Oslo, as evidenced by his 2006 thesis titled Suppression of ΔΣ DAC Quantisation Noise by Bandwidth Adaptation . His recent work (2017) includes low-power radar SoC designs for non-contact vital signs detection. Earlier contributions span topics like VCO linearization for ADCs (2013), low-power sensor interfacing (2011), and multimedia streaming optimization (2006–2007). His publications often appear in top-tier conferences such as IEEE ISSCC, NEWCAS, and Norchip, reflecting expertise in both hardware and system-level design. Michaelsen collaborates extensively with industry partners and colleagues on interdisciplinary projects, bridging nanoelectronics with practical applications in healthcare monitoring and wireless communication. His work emphasizes energy-efficient, high-performance circuit solutions for emerging technologies.