Find Academic Supervisors

Zeljko IgnjatovicView profile

Associate Professor

• Analog VLSI Integrated Circuits
• Sigma-delta A/D Converters
• Ultra-low Power Sensor Interfaces
• +3 more

Zeljko Ignjatovic is an Associate Professor in the Department of Electrical and Computer Engineering at the Hajim School of Engineering & Applied Sciences, University of Rochester. He holds a PhD in Electrical and Computer Engineering from the University of Rochester (2004). His expertise includes analog VLSI design, high dynamic-range Sigma-delta converters, and ultra-low power sensor interfaces. Education: PhD in ECE, University of Rochester (2004). Research focuses on advancing analog and digital signal processing circuits. Key areas include: High-precision Sigma-delta A/D converters Fully-digital image sensors with pixel-level conversion Focal plane compression reducing computational demands Audio signal data hiding techniques Notable contributions include a 100-fold improvement in dynamic range and 50-fold power reduction in CMOS image sensors through Sigma-delta pixel architectures. Ongoing work explores further optimization of low-power sensor interfaces and compression methodologies. No scientific awards or grants are explicitly listed in the provided text.

• Machine Learning
• Cybersecurity
• Mechanical Engineering
• +5 more

Peter Volgyesi is a Research Scientist and Lecturer in the Department of Computer Science at Vanderbilt University School of Engineering. His work focuses on integrating artificial intelligence, machine learning, and advanced engineering methodologies into practical applications such as UAV design optimization, wearable health monitoring systems, and cybersecurity for cyber-physical systems. He has contributed to frameworks like MoSDeF and SURE, advancing reproducible simulations and resilient CPS evaluation. His research interests span multiple domains including: Machine learning in engineering design and optimization Wearable sensor systems for musculoskeletal monitoring Cybersecurity and resilience in smart grids AI-driven CAD-CFD integration for aerospace applications Key trends in his recent work (2020–2024) emphasize: Combining ML with physics-based models for efficient design Development of deployable sensor networks for health and security applications Advances in UAV and underwater vehicle design automation No scientific awards were explicitly mentioned in the provided text. He collaborates on projects involving the Resilient Information Architecture Platform (RIAPS) and Molecular Simulation & Design Framework (MoSDeF), contributing to both academic research and industry-relevant solutions.

Mark BunView profile

Assistant Professor

• Theoretical Computer Science
• Data Privacy
• Computational Complexity
• +3 more

Mark Bun is an Assistant Professor in the Department of Computer Science at Boston University, affiliated with the College of Arts & Sciences. He specializes in theoretical computer science with a focus on data privacy, computational complexity, cryptography, and machine learning foundations. His work bridges discrete and continuous mathematical techniques, particularly using polynomial methods to analyze Boolean functions and develop privacy-preserving algorithms. Education: PhD in Computer Science from Harvard University. Joined BU as a tenure-track faculty member in 2019 after a fellowship at UC Berkeley's Simons Institute for Theory of Computing. Research Interests: Data privacy mechanisms (especially differential privacy) Computational complexity of privacy-preserving algorithms Connections between machine learning theory and privacy Boolean function analysis via polynomial approximations Recent Work Trends: Focus on foundational limits of private learning, algorithmic frameworks for demographic fairness in data release, and memory-constrained statistical inference. Explores trade-offs between privacy guarantees, computational efficiency, and statistical accuracy across multiple domains. Advising/Grants: No specific students/grants listed; research supported by theoretical CS funding streams. Labs/Teams: Not explicitly mentioned, but collaborates widely in privacy theory and computational complexity communities.

• Electronics Engineering
• Telecommunications
• RF Engineering
• +3 more

Prof. Corrado Carta is a Professor at Technische Universität Berlin, affiliated with the Integrated Broadband and High Frequency Circuits department. His work focuses on advanced electronic systems and telecommunications technologies. He is located at the Elektrotechnische Institute (Neubau) in Berlin. Research interests include high-frequency circuit design, broadband communication systems, and related signal processing methodologies. His contributions are critical to advancing next-generation wireless and RF technologies. No specific grants, awards, or publications are listed in the provided information. For further details, contact via corradocarta@tu-berlin.de or visit his office at EN 4 in the E-N building.

Torfinn LindemView profile

Researcher

• Space Technology
• Smart Sensors and Embedded Systems
• Hydroacoustics
• +3 more

Torfinn Lindem is a researcher at the Department of Physics, University of Oslo, specializing in space technology, hydroacoustics, and embedded systems. He serves as Group Leader of the Electronic group and Head of the Electronics and Computer Technology (ELDAT) Study Program. Research Interests: Development of miniaturized sensor systems for CubeSats and space weather monitoring Advanced hydroacoustic techniques for fisheries research and SONAR systems Smart sensor design and embedded electronics for extreme environments Instrumentation for ionospheric and marine ecosystem studies His recent publications demonstrate expertise in nanosatellite communication systems, Langmuir probe technology for plasma measurements, and innovative hydroacoustic methodologies. The research consistently bridges theoretical physics with practical engineering applications across aerospace and marine domains. Awards: Knight of the Icelandic Order of the Falcon Projects and Leadership: Project leader for CubeSTAR satellite initiative, involved in the ICI series of sounding rockets, and cooperation with the Institute of Marine Research on Welfare Tools. He actively contributes to the 4DSpace Strategic Research Initiative and leads the Electronics research group.

Jason CrowView profile

Senior Lecturer

• Medieval History
• History and Theory of Architecture
• Digital Craft
• +4 more

Dr. Jason Crow is a Senior Lecturer in the Department of Architecture at Monash University and a licensed architect in Pennsylvania. He holds a PhD in History & Theory of Architecture from McGill University, where he also served as founding CTO of the Facility for Architectural Research in Media and Mediation (FARMM). His research focuses on technological impacts on material ontology and craft knowledge, blending medieval architectural history with modern digital practices. Bachelor of Architecture, Clemson University (1993) Masters of Architecture, Iowa State University (1995) PhD in History & Theory of Architecture, McGill University (2014) Research interests include medieval architectural history, digital craft, and the intersection of theology/science with material practices. Recent projects include the Warracknabeal Creative Circuit (a regional makerspace) and decarbonizing building practices in Asia. He has supervised graduate researchers such as Mehdi Taheri and Darcy Zelenko. Grants include leadership roles in the 'Decarbonising Buildings in Asia' initiative and the 'Building Better Buildings' design innovation project. He co-founded the Monash Urban Lab and actively engages in architectural pedagogy reform through workshops like LISTEN: Indigenising Architectural Curricula.

• RF ICs
• Compact Modelling
• Semiconductor Devices
• +5 more

Kevin McCarthy is a Lecturer in the Department of Electrical & Electronic Engineering at University College Cork (UCC). He holds a B.E., M.Eng.Sc., and Ph.D., all from UCC. His primary research interests include RF ICs, semiconductor devices, and compact modeling for microelectronic applications. McCarthy has contributed to EU projects like JLP and ACE, focusing on advanced CMOS processes and device modeling for yield enhancement. He has served on technical committees for conferences like ESSDERC and organized the IEEE International Conference on Microelectronic Test Structures in 2002. His work spans device characterization, microwave techniques for dielectric analysis, and energy-efficient power electronics. McCarthy has authored numerous peer-reviewed publications and holds grants for projects like SwiftDriver and NUA. He teaches courses in RF design, power electronics, and telecommunications, emphasizing hands-on education.

Robert BalogView profile

Professor

• Power Electronics
• Renewable Energy Systems
• Solar Photovoltaic Technology
• +5 more

Robert Balog is a Professor in the Department of Electrical & Computer Engineering at Texas A&M University. He serves as Director of the Renewable Energy and Advanced Power Electronics Laboratory (REAPER), Co-Director of the NSF I/UCRC on Next Generation Photovoltaics (NGPV), and Assistant Director for Grid-Edge Modernization at the Smart Grid Center. He holds affiliations with the National Academy of Inventors as a Fellow (2024). Education: Ph.D. (2006), M.S.E.E. (2002) from University of Illinois at Urbana-Champaign; B.S.E.E. (1996) from Rutgers University. He is a licensed Professional Engineer in Texas and Illinois, and an IEEE Senior Member since 2007. Research focuses on advanced power electronics systems, solar photovoltaics, energy storage, microgrids, and power quality. Key innovations include photovoltaic balance-of-systems optimization, non-planar PV integration, and arc fault detection technologies. Over 30 patents highlight his work in power conversion, smart grid security, and energy harvesting. Recent articles emphasize capacitor-less D-STATCOM systems, PV arc fault mitigation, and smart farming energy solutions. His work bridges academic research with industry applications through NSF collaborations and technology commercialization efforts. Awards include NAI Fellowship (2024), IEEE Distinguished Lecturer designation (2020-2021), and TAMEST Patent Innovation Award (2017). Active in standards development (UL 1741/1699B) and conference organization, including ECCE 2016 Technical Program Chair. Labs/Teams: REAPER Lab pioneers PV system optimization and grid-edge technologies. NGPV I/UCRC collaborates with industry partners on next-gen photovoltaic materials and configurations.

Tirthak PatelView profile

Assistant Professor

• Quantum Computing
• High-Performance Computing (HPC)
• Quantum Machine Learning
• +3 more

Tirthak Patel is an Assistant Professor in the Department of Computer Science at Rice University and Director of the Positive Technology Lab. His research focuses on systems-level challenges at the intersection of quantum computing and high-performance computing (HPC), emphasizing reliability, performance, and energy efficiency trade-offs. He holds a PhD from Northeastern University (2023) and prior degrees from Northeastern and the University of Toronto. Education: PhD in Computer Engineering, Northeastern University (2023) MS in Electrical and Computer Engineering, Northeastern University (2019) Bachelor of Applied Science in Electrical Engineering, University of Toronto (2017) His research explores quantum system software, compiler design for neutral atom quantum architectures, and quantum machine learning. Notable contributions include frameworks like PARALLAX (compiler for neutral atom quantum computers) and GEYSER (compilation for neutral atom systems). He prioritizes open-source tools and reproducible research. Research Trends in Publications: Recent work emphasizes quantum noise utilization, quantum GANs, and compiler optimizations for NISQ-era hardware. He also addresses challenges in hybrid quantum-classical systems and quantum cloud security (e.g., OpaQue for program obfuscation). Awards: 2024 ACM SIGHPC Doctoral Dissertation Honorable Mention 2021 ACM-IEEE CS George Michael HPC Fellowship 2024 Rice Outstanding Undergraduate Research Mentor Award Advising & Grants: While specific grant details aren't listed, his work is supported by open-source contributions and industry collaborations. He advises students through Rice's Quantum Computing programs and teaches courses like COMP 448/558: Quantum Computing Algorithms. Labs & Teams: Directs the Positive Technology Lab, focused on advancing quantum computing systems through interdisciplinary approaches. Collaborates with industry partners and international conferences as a TPC member for venues like SC, ISCA, and ICCAD.

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +5 more

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

• Mechanical Engineering
• Electrical Engineering
• Biomedical Engineering
• +5 more

Miguel Fernández Muñoz is an Assistant Professor at the Department of Signal and Communication Theory within the College of Engineering at Universidad de Alcalá. His research focuses on interdisciplinary engineering challenges at the intersection of mechanical, electrical, and biomedical systems. He holds a PhD from Universidad de Alcalá (2023), supervised by Dr. Efrén Díez Jiménez and Dr. Rocío Sánchez Montero, titled "Development of miniaturized wireless power transmission systems for electromechanical actuators in medical and industrial applications". Research Interests: Wireless power transfer and energy harvesting MEMS and microelectromechanical systems Antenna design for biomedical applications Geothermal cooling systems for renewable energy Advanced mechanical design and manufacturing Electromagnetic compatibility and interference mitigation Recent Work Trends: His publications (2022-2025) emphasize practical applications of miniaturized systems, with significant contributions to wireless power solutions for medical devices, MEMS-based micromotors, and geothermal-enhanced solar panel efficiency. He has also explored innovative mechanical designs like high-speed postal canceling machines and rapid transport systems compatible with existing rail infrastructure. Labs/Groups: Member of the TM Tecnologías Mecánicas, Eléctricas y Térmicas research group, focusing on mechanical, thermal, and electrical engineering technologies. Active in both fundamental research and applied industrial solutions.

• Particle Physics
• Signal Processing
• Space Technology
• +5 more

Alberto Regadío Carretero is a Lecturer in the Department of Automática at the University of Alcalá, affiliated with the Space Research Group (SRG-UAH). His research focuses on signal processing for particle detection, cosmic ray physics, and the integration of advanced computing techniques like neural networks and IoT technologies into experimental instrumentation. He holds a PhD in Digital Signal Processing applied to particle detection, awarded in 2014. Education: PhD in Digital Signal Processing, University of Alcalá (2014) Thesis: Procesamiento digital de señal aplicado a la detección de partículas energéticas , supervised by Dr. Sebastián Sánchez Prieto and Dr. Jesús Tabero Godino Research Interests: His work bridges particle physics, space technology, and computational methods. Key areas include: Design of radiation detectors and data acquisition systems using FPGAs and IoT Analysis of cosmic ray spectra and atmospheric effects Application of machine learning (e.g., GANs, reservoir computing) to pulse detection and unfolding Hardware optimization for precision signal processing in space and high-energy environments Key Contributions: Recent work includes: Quantum computing approaches for exoplanet discovery Development of neutron monitors and trajectory tracking systems (e.g., MITO) Unfolding techniques for particle spectra using deep learning Awards & Grants: No specific awards or grants are mentioned in the text, but his involvement in projects like ORCA and the Space Research Group suggests active grant-based research. Lab & Team: He is part of the SRG-UAH Space Research Group, collaborating on projects such as the Antarctic Cosmic Ray Observatory (ORCA) and FPGA-based instrument development.

Borisav D. JovanovicView profile

Associate Professor

• Digital Signal Processing
• ECG Signal Analysis
• Software Defined Radio
• +7 more

Borisav D. Jovanovic is an Associate Professor at the Faculty of Electronics, University of Niš, Department of Electronics. He has been continuously affiliated with the same institution since 2003, progressing from assistant professor to his current academic rank achieved in 2025. His research interests include: Digital Signal Processing ECG Signal Analysis and Medical Instrumentation Software Defined Radio and PAPR Reduction Techniques Low-Power Embedded Controller Design Biomedical Signal Quality Assessment His recent publications focus on enhancing signal integrity in wireless communications and developing PC-based clinical diagnostic tools. Key themes across his work involve optimization of digital predistortion, artifact discrimination in ECG signals, and efficient hardware implementation for medical and communication systems. He is currently involved in one national research project and has contributed to multiple peer-reviewed journals including Journal of Circuits Systems and Computers and FACTA UNIVERSITATIS . Borisav Jovanovic has advised several graduate students (though names are not listed), and his technical contributions span both theoretical and applied domains in electronics and biomedical engineering. He maintains active research in embedded systems for healthcare and communication technologies, with a strong emphasis on practical, real-world implementations.

• Intelligent Control
• Neural Networks
• Soft Computing
• +5 more

Yeşim Öniz is an Assistant Professor in the Department of Mechatronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a PhD in Electrical and Electronics Engineering from Boğaziçi University and has been actively contributing to research and teaching since 2014. Academic Background: PhD, Electrical and Electronics Engineering, Boğaziçi University, 2014 MS, Electrical and Electronics Engineering, Boğaziçi University, 2007 BS, Mechatronics Engineering, Sabancı University, 2004 Her research focuses on intelligent control systems, particularly integrating neural networks, fuzzy logic, and variable structure systems for applications in robotics and automotive systems. She has made notable contributions to adaptive learning algorithms and robust control in uncertain environments. The selected publications reflect a strong trend in applying soft computing and neuro-fuzzy methodologies to real-world control problems, especially in antilock braking systems and robotic actuators. Her work emphasizes experimental validation and robustness under nonlinear and time-varying conditions. Teaching Responsibilities Include: MECA 100: Introduction to Mechatronics EEEN 201: Electrical and Electronic Circuits I EEEN 202: Electrical and Electronic Circuits II EEEN 222: Digital Systems Design She has also served as an instructor in specialized programs such as the FESTO-Boğaziçi University Mechatronics Specialist Certification Program and the FESTO Mechatronics Summer School, contributing to professional training in industrial automation.

Frank Kagan GürkaynakView profile

Researcher

• Energy-Efficient Microelectronics
• Cryptographic Hardware Security
• Digital Integrated Circuit Design
• +4 more

Frank Kagan Gürkaynak is Director of the Microelectronics Design Center (DZ) and a Researcher at ETH Zurich's Department of Information Technology and Electrical Engineering (D-ITET). He leads the PULP open-source hardware project and works closely with Prof. Luca Benini in the Integrated Systems Laboratory (IIS). His academic journey includes BSc/MSc from Istanbul Technical University and a PhD from ETH Zurich. Roles: Microelectronics Design Center Director, Senior Scientist in IIS, VLSI course lecturer Research focuses on energy-efficient digital circuits, cryptographic hardware security, and open-source processor architectures. Key projects include EU-funded initiatives like European Processor Initiative (EPI), Convolve, and NeuroSoC, along with SNSF grants Tiny Trainer and PEDESITE. Active in teaching VLSI design, embedded systems, and essential engineering skills. Publications emphasize secure cryptographic accelerators, low-power processor clusters, and GALS system design methodologies. Contributions include energy-efficient ASICs for IoT to HPC domains and pioneering work in side-channel attack-resistant hardware.