Find Academic Supervisors

• Electromagnetic Compatibility
• Electromagnetic Interference
• Signal Integrity
• +3 more

Victoria Shao is a Teaching Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC). She specializes in electromagnetic compatibility (EMC), computational electromagnetics (CEM), and high-power microwave technology. Her work focuses on advancing numerical methods for transient electromagnetic analysis, stochastic modeling in complex enclosures, and the design of integrated electronic systems. Affiliations: Holonyak Micro and Nanotechnology Laboratory at UIUC Education: B.S. in Electrical Engineering (USTC, 2003), Ph.D. in Electromagnetics (Chinese Academy of Sciences, 2008) Prior positions: Researcher at ElectroScience Laboratory, Ohio State University (2009–2014) Research Interests: Dr. Shao’s work bridges computational methods with practical engineering challenges, emphasizing: Stochastic Green’s function approaches for statistical wave physics Multi-physics analysis of electronic systems Development of scalable algorithms for high-performance computing Nanotechnology integration for 3D RF components Her research has led to innovations in: Self-rolled-up membrane (S-RuM) nanotechnology for compact inductors Supercomputing-driven radio wave propagation models for urban environments Parallel-in-space-and-time electromagnetic simulation methods Awards: She has received multiple recognitions, including Best EMC Paper finalist awards (2022, 2023) and a Best Paper Award in IEEE Transactions (2017). Teaching and Contributions: Dr. Shao teaches core ECE courses such as ECE 110, ECE 210, and specialized EMC courses (ECE 498 YS3/YVS). She pioneers educational strategies using visualization tools and asynchronous learning to enhance STEM accessibility.

Erik BrunvandView profile

Professor

• Computer Architecture
• VLSI Systems
• Asynchronous Circuits
• +3 more

Erik Brunvand is a Professor at the School of Computing , University of Utah, and holds an Adjunct Professor position in the Department of Electrical and Computer Engineering. He was a University Professor from 2014–2016 and is currently on leave at the National Science Foundation (CISE/CNS division) (Fall 2019–2021). His research focuses on computer architecture, VLSI systems, asynchronous circuits, and graphics processing, particularly GPU architectures for ray tracing. Teaching includes courses like Digital VLSI Design , Embedded Systems and Kinetic Art , and interdisciplinary classes like Making Noise: Sound Art and Digital Media . He has organized the ASYNC international symposium series and contributed to projects such as TRaX (ray tracing architecture) and ACK (asynchronous design framework). Grants include NSF awards for GPU architectures, ray tracing applications, and microengine-based control systems. His work spans hardware design, sustainable computing, and arts/technology collaborations, including kinetic art installations and educational initiatives like circuit bending.

• Insect neuroethology
• Sensory systems in dipterans
• Flight control and stability
• +3 more

Professor Jessica Fox is a faculty member in the Department of Biology at Case Western Reserve University, where she conducts cutting-edge research on insect sensory systems and flight control mechanisms. Her work bridges neuroscience, biomechanics, and ethology to unravel how flies process sensory information for navigation and behavior. Her research program focuses on: Neural encoding in dipteran sensory systems Integration of haltere mechanosensation and visual inputs Flight stability and gaze control mechanisms Evolutionary adaptations in insect sensory organs Neuromodulation of sensorimotor pathways Recent publications demonstrate a consistent emphasis on haltere function as a biological gyroscope, revealing how flies dynamically tune sensory processing during flight. Her experimental approaches combine tethered flight assays, optogenetics, high-speed videography, and neural recordings to dissect sensorimotor transformations across diverse dipteran species. Professor Fox leads the Fox Lab at Case Western Reserve University, which maintains active collaborations with neuroscience and engineering groups to develop bio-inspired robotics models based on insect flight principles. The lab emphasizes comparative studies across fly species to identify conserved and specialized neural mechanisms.

José María Guerrero RodríguezView profile

Professor

• Electronics
• Sensor Design
• Space Instrumentation
• +3 more

José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.

• Microelectronics
• Image Sensors
• Bio-inspired Algorithms
• +3 more

Juan Antonio Leñero Bardallo is a Professor at the University of Seville, Faculty of Physics, Department of Electronics and Electromagnetism. His research focuses on bio-inspired microelectronics, event-driven vision sensors, and CMOS integration techniques. Research Group: MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA Key Projects: SAMANTA2 (robotic vision), CAVIAR (event-based vision), VULCANO (event-driven imaging) His work spans asynchronous image sensors, thermography for medical diagnostics, stacked diodes for energy harvesting, and neuromorphic engineering. Recent publications highlight low-power sun sensors, self-powered imaging systems, and thermographic applications in dermatology. He has contributed to books on analog electronics and radiation detection. Patents include solar position sensors and electron energy detectors for scanning electron microscopy. His teaching subjects cover experimental techniques, integrated sensor design, and bio-inspired algorithms.

Hossein SaidiView profile

Professor

• High Speed Switching Networks
• QoS Algorithms in Broadband Networks
• Internet Security
• +4 more

Hossein Saidi is a Professor in the Department of Electrical and Computer Engineering at Isfahan University of Technology, Iran. His research spans High Speed Switching Networks, QoS Algorithms in Broadband Networks, Internet Security, Cryptography, Wireless Networks, Information Theory, and Coding. Research Interests: High Speed Switching Networks, QoS Algorithms, Internet Security, Cryptography, Wireless Networks, Information Theory, Coding Email: hsaidi@iut.ac.ir His recent publications focus on Software-Defined Networking (SDN), Blockchain Consensus, Wireless IoT, and Energy Management Systems. Key themes include network optimization, security protocols, distributed systems, and hardware design.

Christoph LenzenView profile

Professor

• Distributed Computing
• Clock Synchronization
• Randomized Load Balancing
• +5 more

Christoph Lenzen is a Professor at CISPA Helmholtz Center for Information Security since July 2021. Previously, he served as a Group Leader at the Max Planck Institute for Informatics (2014-2021), and held postdoctoral positions at MIT CSAIL (2013-2014), Weizmann Institute (2012), and Hebrew University (2011). Research Interests Design and analysis of distributed algorithms Clock synchronization and adversarial fault tolerance Randomized and self-stabilizing systems Hardware algorithms for fault-tolerant systems Grants and Awards ERC Proof-of-Concept Grant (2021) ERC Starting Grant (2017-2022) ETH Zurich Medal for Outstanding Thesis (2011) Education Ph.D. in Computer Science (2011), ETH Zurich Diploma in Mathematics (2007), University of Bonn Teaching Clock Synchronization and Adversarial Fault Tolerance (2022 winter) How To Clock Your Computer (2022 summer) Theory of Distributed Systems (2019 winter, 2020 winter, 2018 winter, 2017 winter, 2016 winter, 2015 winter)

Kent PalmkvistView profile

Associate Professor

• Digital Electronics
• Mixed-Signal Electronics
• FPGA Design
• +5 more

Kent Palmkvist is an Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering (ISY) and the Division of Electronics and Computer Engineering (ELDA). His work bridges research and education in digital, analog, and mixed-signal electronics, with a focus on programmable systems and processor design. Research Interests: Digital and mixed-signal circuit design FPGA-based high-performance computing Asynchronous (GALS) system architectures Low-power and energy-efficient design techniques Calibration and testing of high-resolution ADCs Hardware implementation of signal processing algorithms His recent publications highlight expertise in large-scale FFT implementations on FPGAs and innovative design flows for asynchronous systems, indicating a strong focus on hardware efficiency and scalability. Scientific Contributions: Pioneered design methodologies for integrating asynchronous modules using conventional synchronous tools Developed high-throughput FFT architectures capable of processing 1 million points on a single FPGA Advanced calibration techniques for flash ADCs using histogram methods Advising and Grants: While no formal students or grant details are listed in the provided text, his collaborative publications suggest active engagement in research teams and potential supervision of graduate students. His work likely involves industry and research collaborations, given the applied nature of his research and ISY’s emphasis on industrial partnerships. Labs and Teams: Kent Palmkvist is a key member of the Division of Electronics and Computer Engineering (ELDA), where he contributes to research in advanced electronic systems. The division conducts cutting-edge work in both analog and digital domains, supporting a collaborative environment for innovation in electronics and computing.

Luciano LavagnoView profile

Professor

• Asynchronous Circuit Design
• Embedded Systems
• Logic Synthesis
• +4 more

Luciano Lavagno is a prominent academic in computer science and engineering, specializing in asynchronous circuit design, logic synthesis, and embedded systems. He has collaborated extensively with researchers like Alberto Sangiovanni-Vincentelli, Joaquim Cortadella, and Alex Yakovlev. Key contributions: Hazard-free asynchronous circuits, STG manipulation, FPGA synthesis frameworks Research focus: Formal verification, design methodologies, hardware-software co-design His publications from 1991–2025 demonstrate sustained innovation in asynchronous control logic, embedded system validation, and machine learning hardware acceleration. Notable works include SIS (sequential synthesis) and Petrify (asynchronous controller tool). While his 2018 DiracDeltaNet work extended into neural network optimization, his core expertise remains rooted in formal methods for circuit design.

Vincent LeungView profile

Associate Professor

• RF/mixed-signal ICs
• Ultra-low-power IoT circuits and systems
• ICs for neurotechnology and biomedical applications
• +7 more

Dr. Vincent Leung is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, College of Engineering. He leads the Bio-Electronics and RFIC (BEaR) Lab and maintains active research in neurotechnology and RF/mm-Wave ICs. He also holds concurrent appointments as a Faculty Research Engineer at the Naval Surface Warfare Center (Crane, IN) and as a Visiting Associate Professor at Brown University (Providence, RI). PhD, Electrical and Computer Engineering, University of California, San Diego (2004) M.Eng., Electrical Engineering, McGill University (1997) B.Eng. (Honors), Electrical Engineering, McGill University (1995) Dr. Leung's research focuses on cutting-edge integrated circuit design for biomedical and wireless applications. His work spans RF/mixed-signal ICs , ultra-low-power IoT systems , neural interfaces , and wireless communication electronics for both commercial and military use. He has extensive industry experience from Analog Devices, IBM, Silicon Labs, and Qualcomm, where he led RFIC development for 3G/4G smartphones. His recent publications show a strong trend toward distributed implantable systems and wireless neural interfaces , with high-impact work in Nature Communications and Nature Electronics . These studies emphasize asynchronous wireless networks , energy-efficient power transfer , and machine learning-enhanced circuit design , reflecting a convergence of biomedical engineering, low-power electronics, and AI-driven hardware innovation. Dr. Leung has taught graduate courses in Analog VLSI and RFICs at Columbia University and UCSD. He has co-authored over 50 technical papers and holds 13 U.S. patents. His lab is actively engaged in federally relevant research, particularly through collaboration with the Naval Surface Warfare Center, indicating significant grant and defense-related funding. He mentors students through the BEaR Lab and contributes to interdisciplinary neurotechnology initiatives. The BEaR Lab (Bio-Electronics and RFIC Lab) at Baylor University, led by Dr. Leung, focuses on developing advanced integrated circuits for biomedical and wireless applications. The lab specializes in low-power, high-performance RF and mixed-signal ICs for neurotechnology, IoT, and defense systems, fostering innovation in implantable and distributed sensor networks.

Mikhail DorojevetsView profile

Associate Professor

• Computer Architecture
• High-Performance Computing
• Superconducting Electronics
• +3 more

Mikhail Dorojevets is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University , New York. His research focuses on parallel computer architecture, high-performance systems design, and superconductor processors . He has contributed extensively to RSFQ (Rapid Single Flux Quantum) and RQL (Resonator Quantum Logic) technologies for ultra-high-speed computing systems. Key areas of expertise include: Superconducting electronics for energy-efficient computing High-frequency (GHz-scale) processor design Architectures for parallel and wave-pipelined systems FPGA-based hardware acceleration for network processing His work spans both theoretical and applied aspects, including: Design of RSFQ arithmetic logic units (ALUs) and multipliers Development of 20+ GHz microprocessor prototypes Optimization of energy consumption in superconductor-based systems Publications emphasize advancements in: Superconductor VLSI implementation High-performance storage architectures Multi-port register file designs Integration of satisfiability solvers with hardware

Nicole McFarlaneView profile

Associate Professor

• Electrical Engineering
• Microelectronics
• Biosensors
• +3 more

Nicole McFarlane is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK), where she also holds the TCE Advance Professor title. She is affiliated with the Tickle College of Engineering and leads the Micro-Bio-Electronics Group (MLAB), focused on advanced sensor technologies. Education: Nicole McFarlane earned a PhD in Electrical Engineering from the University of Maryland, College Park (2010), and dual bachelor's (BS, 2001) and master's (MS, 2003) degrees in Electrical Engineering from Howard University, Washington D.C. Research Interests: Her work centers on developing compact, efficient sensor systems using mixed-signal CMOS strategies and nanotechnology. Applications span electrochemical biosensors, point-of-care medical devices, nuclear imaging panels, and hardware security for embedded systems. The MLAB lab emphasizes cost-effective, scalable solutions for healthcare, military, and research domains. Article Trends: Recent publications (2024) highlight innovations in perimeter-gated SPAD arrays for cryptographic security, silicon photomultipliers for nuclear imaging, and asynchronous readout architectures. 2023 work includes multimodal gesture recognition systems and pH sensors with integrated encryption. These studies reflect her focus on merging cutting-edge CMOS technologies with secure, multifunctional sensor design. Scientific Awards: No awards explicitly listed in the provided texts. Advising & Grants: Nicole advises students in the Kao Department's graduate and undergraduate programs. While specific advisee names are not provided here, her research is supported by grants in microelectronics and sensor integration. She has pioneered portable biosensor systems, including wireless pH-impedance devices and encryption architectures for wearable health monitors. Labs & Teams: As founder/leader of the Micro-Bio-Electronics Group (MLAB), she oversees projects combining CMOS fabrication with nano/micro-fabrication techniques. The lab explores applications ranging from implantable medical sensors to battlefield-ready detection systems, emphasizing interdisciplinary collaboration.

• Electronics Engineering
• Semiconductor Devices
• Radiation Detectors
• +4 more

LODOVICO RATTI is a Full Professor of Electronics at the University of Pavia's Department of Electrical, Computer and Biomedical Engineering. He leads the Electronic Instrumentation Group and Laboratory, and holds roles such as Secretary of the IEEE Radiation Instrumentation Steering Committee and Chair of the IEEE Nuclear and Plasma Sciences Italy Section. His research focuses on low-noise analog circuits for radiation detectors, semiconductor device noise characterization, and radiation effects in microelectronics. He has contributed to major international projects including CMS, RD53, and PixFEL, developing pixel detectors for high-luminosity environments. His work spans technologies like CMOS, JFET, and SPADs, with emphasis on radiation hardness and detector optimization. Ratti has authored over 300 publications (h-index 24), and has led teaching initiatives in Electronics and Industrial Measurements. He also serves on editorial boards and conference committees, advancing both academic and applied research in his field. Key collaborations include CERN, Fermilab, and Argonne National Laboratory. His research impacts particle physics, synchrotron light sources, and medical imaging through innovations in detector design and radiation tolerance. Current projects include 28 nm CMOS front-ends for future colliders and pixel sensor upgrades for Belle II and FCC-ee experiments.

Miljana L. MilićView profile

Professor

• Electronics
• VLSI Design
• Analog and Digital Circuit Diagnosis
• +7 more

Miljana L. Milić is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, Department of Electronics. She has been an integral part of this institution since earning her degrees and advancing through academic ranks, culminating in her appointment as full professor in 2024. Education: PhD in Electronics, Faculty of Electronics, University of Niš (2009) Master’s in Electronics, Faculty of Electronics, University of Niš (2005) Bachelor’s in Electronics, Faculty of Electronics, University of Niš (2001) Her research interests span a broad spectrum of electronics engineering, with emphasis on VLSI design, analog and digital circuit diagnosis, cryptographic hardware security, timing analysis under aging, and performance optimization in neural prediction systems. She applies simulation, statistical methods, and AI techniques to solve complex problems in electronic systems design and reliability. The analysis of her recent publications reveals a strong focus on hardware-level innovation, including secure cryptographic cells, fault diagnosis in analog circuits, performance modeling under fading and shadowing, and timing degradation in VLSI systems. Her work bridges theoretical analysis with practical implementation in electronic design and communication systems. She leads the Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems, and is currently involved in one national research project. Her contributions include over 10 journal publications in high-impact venues. Scientific Contributions: Head of Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems Active participant in national research projects Author/co-author of 10+ journal papers with impact factor She mentors students through research supervision and contributes to academic leadership within her department. Her work continues to influence both academic research and practical applications in electronic systems engineering.

Radu MateescuView profile

Professor

• Formal Methods
• Model Checking
• Concurrent Systems Verification
• +6 more

Radu Mateescu is a Research Director at Inria Grenoble - Rhône-Alpes where he heads the CONVECS research team. He has been with Inria since 1998, previously working as a researcher in the VASY project-team. His research focuses on formal methods, particularly model checking and verification of concurrent systems. Mateescu holds a PhD in Computer Science from INPG (Institut National Polytechnique de Grenoble) with a thesis on "Verification of the temporal properties of parallel programs". His educational background includes a graduate engineer diploma from the POLITEHNICA University of Bucharest in Automatic Control and Computers. He has been instrumental in developing several formal verification tools including XTL, CAESAR_SOLVE, EVALUATOR, and BISIMULATOR. His research interests span formal specification and verification of temporal properties of concurrent systems, temporal logics extended with data-handling primitives, on-the-fly model checking, equivalence checking, diagnostic generation, partial order reduction, and massively parallel verification. He served as chairman of the FMICS (Formal Methods for Industrial Critical Systems) Working Group of ERCIM from 2011 to 2014. Mateescu has published extensively in formal methods, with recent work focusing on applications in autonomous vehicles, IoT systems, and hardware verification. His publications show a consistent trend toward applying formal verification techniques to increasingly complex real-world systems, particularly in safety-critical domains. Test-of-Time Tool Award at ETAPS'2023 Inria - Académie des Sciences - Dassault Systèmes Innovation Prize Information Technology Award from Fondation Rhône-Alpes Futur Mateescu has taught courses at ENSIMAG (Grenoble), ESIREM (Dijon), and the University of Savoie. He has contributed to major research projects involving industrial applications of formal methods, particularly through the CADP toolbox which has been used to verify numerous critical systems including the IEEE-1394 FireWire protocol, Bull's cluster file system, and autonomous vehicle systems. His work bridges theoretical formal methods with practical industrial applications.