جستجوی استاد راهنمای دانشگاهی

Jack Forresterمشاهده پروفایل

پژوهشگر ارشد

• Piezoelectrics
• Power Conversion
• Passive Component Design
• +۳ مورد دیگر

Dr Jack Forrester is an Academic Fellow at the School of Electrical and Electronic Engineering, University of Sheffield. He coordinates student-led projects like Sheffield Formula Racing and teaches undergraduate modules EEE228 (Design Project) and EEE229 (Electrical Energy and Conversion). Qualifications include a PhD in Piezoelectric Transformers for Resonant Converter Applications (University of Sheffield, 2021) MEng in Electronic and Electrical Engineering (University of Sheffield, 2017) His research focuses on piezoelectric devices , resonant power conversion , passive component design , FPGA-based control systems , and instrumentation for sporting equipment . He has led EPSRC-funded projects on piezoelectric transformer design and plasma microreactor applications. Dr Forrester supervises undergraduate and postgraduate projects in power electronics, wireless power transfer, and remote control systems. He currently serves as the electrical academic lead for the Sheffield Formula Racing team, guiding their transition from internal combustion to electric vehicles for the 2026 Formula Student competition.

Donatella Sciutoمشاهده پروفایل

استاد

• Embedded systems
• Multiprocessor System on Chip
• Reconfigurable systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor in Computer Engineering at the Department of Electronics and Information of Politecnico di Milano, where she conducts research in System Architectures. She serves as Deputy Director of Education at CEFRIEL, managing executive company education training programs. Her academic career spans multiple leadership roles in professional organizations including the Council of EDA (CEDA) where she served as VP of Finance (2008-2009) and is currently President Elect. Her research focuses on embedded systems design methodologies, with particular expertise in Multiprocessor System on Chip, reconfigurable systems, hardware/software co-design, and design space exploration techniques. She leads the Embedded Systems Design and Design Methodologies research group (sagroup.elet.polimi.it) and has contributed significantly to the field of Electronic Design Automation. Her publication record shows a consistent focus on reconfigurable computing and MPSoC design, with recent work emphasizing dynamic reconfiguration techniques, hardware/software synchronization in multiprocessor systems, and optimization algorithms for heterogeneous architectures. Her research demonstrates a progression from foundational work in embedded systems to more complex system-level design methodologies for modern reconfigurable architectures. She has held editorial positions with prestigious journals including IEEE Transactions on Computers, Journal of Design Automation of Embedded Systems, and IEEE Embedded Systems Letters. She has served on program committees for major conferences including DAC, ICCAD, DATE, and CODES+ISSS, and has held leadership roles including Publications Chair for IEEE/ACM ESWEEK 2007 and Co-General Chair of ESWEEK 2009. Prof. Sciuto has advised more than 10 PhD students and currently mentors 4 PhD candidates at Politecnico di Milano. She teaches courses in Computer Architecture, Operating Systems, and High Performance Processors and Systems. She has published 5 teaching books in Italian across multiple editions and maintains active research collaborations through European and national research projects she coordinates.

Toby Boysonمشاهده پروفایل

مدرس ارشد

• Engineering Education
• Cognitive Load Theory
• Practical Engineering Skills
• +۵ مورد دیگر

Dr. Toby Boyson is an education-focused Senior Lecturer in electrical engineering at the School of Engineering and Information Technology (UNSW Canberra). He specializes in teaching analog circuits and practical engineering classes, with research interests spanning engineering education, cognitive load theory, practical lab skills development, and gender representation in engineering. He co-chaired the Young Women in Engineering (YoWIE) outreach program and manages UNSW Canberra's Protolab makerspace. Research Focus : Engineering education, cognitive-affective development, neurodivergent inclusivity, and technical innovation in optoelectronic instrumentation. Technical Contributions : Developed signal processing techniques for cavity ringdown spectroscopy, with applications in explosive detection, chemical sensing, and hypersonic flow characterization. Holds patents in spectroscopic instrumentation, water desalination, and plastic degradation. Awards : 2022 UNSW Students’ Choice Teaching Award; UNSW Innovation Awards (2012) and Australian Museum Eureka Prize (2015) finalists. Publications : 15 most recent works cover cavity ringdown spectroscopy, engineering education, plasma diagnostics, and control systems. Trends include interdisciplinary applications of optoelectronics, educational outreach, and inclusive pedagogy. Patents : Signal processing methods for decay time analysis and cavity-enhanced spectroscopy, with commercialization in the USA.

Zhishan Guoمشاهده پروفایل

دانشیار

• Real-Time Scheduling Theory
• Machine Learning Theory
• Cyber-Physical Systems
• +۵ مورد دیگر

Zhishan Guo is an Associate Professor in the Department of Computer Science at North Carolina State University, affiliated with the College of Engineering and the Operations Research Graduate Program. His research bridges real-time scheduling theory, machine learning theory, and cyber-physical systems. Ph.D., Computer Science, UNC-Chapel Hill (2016) M.Phil., Mechanical and Automation Engineering, The Chinese University of Hong Kong (2011) B.E., Computer Science and Technology, Tsinghua University (2009) Guo's work spans embedded and real-time systems, parallel/distributed systems, and healthcare information technology, with a focus on integrating machine learning into real-time scheduling and cyber-physical systems. Recent publications highlight advancements in neural network-based scheduling, adversarial defense mechanisms, and healthcare diagnostics for embedded systems. His scientific honors include the ACM SIGBED CAREER Award (2023), Best Paper Awards at RTSS (2023), ICIST (2023), and RTAS (2025), alongside the Humboldt Fellowship (2024). Guo's research is supported by grants from the National Science Foundation and NHK International Corporation, addressing scalable heterogeneous computing and intelligent robotics.

Jorge Portillaمشاهده پروفایل

دانشیار

• Embedded System Design
• Wireless Sensor Networks
• Internet of Things
• +۱ مورد دیگر

Jorge Portilla is an Associate Professor at Universidad Politécnica de Madrid (UPM), Spain, with a career spanning from 2006 as Assistant Professor to his current role since 2021. He holds a M.Sc. in Physics (2003, Universidad Complutense de Madrid) and a Ph.D. in Electronic Engineering (2010, UPM). Education : M.Sc. in Physics, Universidad Complutense de Madrid (2003) Ph.D. in Electronic Engineering, Universidad Politécnica de Madrid (2010) Research Focus : Jorge's work centers on digital embedded systems, emphasizing wireless-sensor networks, Internet of Things (IoT), and FPGA-based reconfigurable architectures. His research explores efficient hardware-software co-design for smart systems and adaptive computing environments. Career Trajectory : He transitioned from Assistant Professor (2006-2021) to Associate Professor (2021-present) at UPM, maintaining a focus on electronics and embedded systems education.

• Tactile Sensors
• Resistive Sensor Arrays
• FPGA-Based Electronics
• +۳ مورد دیگر

Óscar Oballe-Peinado is affiliated with the University of Málaga, where he contributes to research in tactile sensor electronics, FPGA-based embedded systems, and robotics. His work focuses on improving sensor readout accuracy, mitigating crosstalk, and developing remote educational laboratories for digital electronics. His research spans tactile sensor arrays, calibration methods, and proximity sensing in robotics. Key keywords include Tactile Sensors , FPGA , Embedded Systems , Robotics , Sensor Calibration , and Signal Processing . Articles from 2009–2024 highlight his expertise in tactile sensor hardware, hysteresis correction, and educational innovations. He has also contributed to remote teaching tools for digital electronics and has co-authored papers on sensor fusion and compliance recognition in robotic manipulation.

Ian Groutمشاهده پروفایل

دانشیار

• Mixed-Signal Integrated Circuit Design
• Test Technology Education
• Mechatronics
• +۵ مورد دیگر

Ian Grout serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, and is affiliated with the Optical Fibre Sensors Research Centre. His academic career spans over 25 years with continuous research output since 1994, focusing on hardware design and engineering education methodologies. His educational background includes: Ph.D. in Electronic Engineering from Lancaster University (awarded 1994) B.Eng. in Electronic Engineering from Lancaster University (awarded 1991) Dr. Grout's research integrates Mixed-Signal Integrated Circuit Design, Test Technology Education, and Sensor System Design using FPGAs with innovative educational approaches. His work bridges theoretical hardware development and practical implementation, particularly in remote laboratory experimentation and mechatronics systems. The fingerprint analysis of his 152 publications reveals dominant expertise in Field Programmable Gate Arrays (100%), Computer Hardware (61%), and Application Specific Integrated Circuit design (61%), with significant contributions to Teaching and Learning methodologies (56%). Recent publications (2023-2024) demonstrate a clear trajectory toward optimizing hardware testability for emerging architectures like processing-in-memory cores while advancing educational tools for embedded systems programming. His work shows increasing integration of machine learning concepts with traditional circuit design and a sustained focus on practical educational implementations through European collaborations like the Erasmus+ DIG-SENSING program. Professional engagements include active membership in the Institution of Engineering and Technology (IET), International Microelectronics and Packaging Society (IMAPS), and service on the UK EPSRC Peer Review College. He previously chaired the Educational ECAD User Group (EEUG) from 2001-2002 and maintained committee membership until 2005. At the University of Limerick, Dr. Grout contributes to the Optical Fibre Sensors Research Centre where his FPGA-based sensor system designs support advancements in optical sensing technologies. His current work involves developing remote laboratory frameworks for electrical engineering education while maintaining active research in integrated circuit test methodologies.

Muzaffar Raoمشاهده پروفایل

دانشیار

• Cybersecurity
• IoT Security
• FPGA-Based Security Systems
• +۳ مورد دیگر

Muzaffar Rao 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 academic base is located at C0-065 on campus, with primary contact via muzaffar.rao@ul.ie. His research spans critical cybersecurity domains with emphasis on IoT security infrastructure , FPGA-based hardware security solutions , and operational technology protection . Specialized expertise includes zero-trust architectures for smart manufacturing, intrusion detection for autonomous systems, and aviation cybersecurity. His work bridges theoretical cryptography with industrial applications through LabVIEW-FPGA implementations. Analysis of his 15 most recent publications reveals a consistent trajectory toward real-time security processing for emerging technologies. Key thematic clusters include: (1) Hardware-accelerated cryptography for resource-constrained IoT devices, (2) Zero-trust frameworks for Industry 4.0 environments, and (3) Aviation/maritime cybersecurity solutions addressing physical-layer threats. His methodology prominently features FPGA-based prototyping and machine learning integration. Rao's technical leadership manifests in developing practical security implementations rather than theoretical frameworks. His publications consistently address implementation challenges in constrained environments, with recent work focusing on latency-sensitive applications like autonomous vehicles and aviation systems. The progression from cryptographic core development (2012-2018) to system-level security architectures (2019-2025) demonstrates evolving research maturity. His educational contributions include pioneering cyber range development for OT/IT security training, directly addressing workforce skill gaps in critical infrastructure protection. The absence of formal award mentions suggests industry-focused rather than academically decorated output, with impact measured through applied solutions rather than traditional academic recognition. Rao maintains active research in laboratory environments focused on hardware security prototyping, particularly utilizing FPGA platforms for real-world security validation. His work with LabVIEW middleware indicates strong industry collaboration potential, especially in manufacturing and transportation sectors where safety-critical systems demand robust security integration.

• Automation
• Autonomous Systems
• Control Theory and Applications
• +۱ مورد دیگر

Dr. Onur Akbatı is an Assistant Professor at Istanbul Technical University since 2024, affiliated with the Department of Robotics and Autonomous Systems Engineering . Previously, he served as a Doctor Lecturer at Yıldız Technical University from 2019-2024 and held administrative roles including Deputy Head of Department in 2022-2023. PhD in Control and Automation Engineering, Yıldız Technical University (2013) MSc in Control and Automation Engineering (with Thesis), Yıldız Technical University (2008) Licence in Electrical Engineering, Yıldız Technical University (2005) His research focuses on Automation , Autonomous Systems , Control Theory , and Robotics , with a particular emphasis on FPGA-based control systems, UAV trajectory optimization, and stability analysis of time-delayed systems. His publications and projects demonstrate expertise in Modbus gateways, magnetic levitation, and autonomous vehicle platooning. Recent research trends include Advanced controller design for quad-rotor UAVs Industrial communication protocols and automation networks Hardware-in-the-loop simulation techniques Nonlinear control for mobile robotics Scientific Recognition: Best Oral Presentation, Selcuk University (2017) Dr. Akbatı has supervised numerous MSc theses in automation systems, robotics, and control theory. He has led research projects including Nonlinear Controller Development for Quadrotor Orientation Control and Optimal Trajectory Generation for UAVs , with total funding exceeding ₺450,000. He contributed to the CoNeT mobile laboratory framework for industrial Ethernet systems and developed real-time FPGA-based control solutions for complex mechanical systems.

• Electrically Excited Synchronous Machines
• Power Electronics
• Automotive Traction Systems
• +۵ مورد دیگر

Nimananda Sharma is a researcher at Chalmers University of Technology's Department of Electrical Engineering (E2), specializing in electrically excited synchronous machines and power electronics for automotive applications. He has contributed to 21 publications since 2018, including journal articles and conference proceedings. PhD Thesis: Design, Modeling and Verification of Distributed Electric Drivetrain (2022) His research focuses on: Electric Machine Design: Direct oil cooling systems, thermal modeling, and zero-sequence current reduction techniques Power Electronics: DC link capacitor dimensioning, SiC inverter cooling, and SVM control strategies Vehicle Simulation: Co-simulation frameworks, mechanical-hardware-in-the-loop test benches, and FPGA/CPU-based real-time modeling Key projects include: PowerDrive (2022–2025) - Power electronics optimization HipeDrive (2020–2023) - High-performance drivelines for electric trucks LONG (2020–2023) - Sustainable long-distance truck powertrains Integrated Modular Drivetrain (2017–2020) - Distributed electric/hybrid systems Collaborations involve European Commission and Swedish Energy Agency projects with partners like Volvo Group and industry leaders. His work advances electric vehicle technology through innovative drivetrain designs and simulation methodologies.

• Embedded Machine Learning
• FPGA Design
• Neural Networks
• +۴ مورد دیگر

Leo Buron, M.Sc., is a Researcher and doctoral student at the Intelligent Embedded Systems Lab, part of the School of Computer Science at the University of Duisburg-Essen. He holds a Master's degree in Electrical Engineering and Information Technology with a focus on embedded systems. University of Duisburg-Essen (Master's in Electrical Engineering and Information Technology) Hochschule Düsseldorf (Dual studies in Electrical Engineering with Siemens) His research focuses on optimizing deep neural networks for resource-constrained hardware like FPGAs, with applications in brain-computer interfaces (BCIs) and time series analysis. Key areas include spike sorting, feature extraction, clustering, and AI implementation on sensors/smart devices to improve data privacy. Recent publications highlight his work on quantized neural network training, FPGA-based AI hardware for BCIs, and memristor applications in spike sorting. These works span computer science, biomedical engineering, and electrical engineering disciplines. Leo contributes to knowledge transfer initiatives like the ZaKI.D project, aiming to democratize AI adoption for regional companies. He collaborates with researchers including Gregor Schiele and Andreas Erbslöh on embedded machine learning and adaptive systems.

• Computing-in-Memory
• Resistive RAM (RRAM) Technology
• Neuromorphic Computing
• +۷ مورد دیگر

Dr. Moritz Joseph serves as Professor and Chair of Software for Systems on Silicon at RWTH Aachen University's School of Electrical Engineering and Information Technology. His research group operates within the Institute for Communication Engineering (ICE), focusing on cutting-edge hardware architectures for next-generation computing systems. The chair maintains laboratory facilities in the ICT Cube 1 building at Kopernikusstr. 16 in Aachen, Germany. Professor Joseph's research spans Computing-in-Memory architectures , Resistive RAM technologies , and neuromorphic computing systems . His work addresses critical challenges in hardware acceleration for deep learning, with particular emphasis on reliability, security, and energy efficiency of novel memory-centric computing paradigms. His research bridges computer architecture, hardware security, and machine learning acceleration. Analysis of his recent publications reveals a strong focus on RRAM-based compute-in-memory systems, with increasing attention to security implications of thermal effects and side-channel attacks. His work demonstrates progression from fundamental memory characterization to system-level integration and security analysis, showing consistent innovation in memory-centric computing architectures over the past five years. Professor Joseph actively contributes to the development of simulation frameworks and evaluation methodologies for emerging memory technologies, as evidenced by his work on platforms like CIM-Explorer, Ratatoskr, and gem5 extensions. His research has significant implications for energy-efficient AI hardware and secure computing systems.

• Speech Recognition
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Dr. Michael Mason is a Research Fellow at the Queensland University of Technology (QUT), affiliated with the School of Computer Science . His work bridges advanced signal processing, machine learning, and automotive speech systems, focusing on noise-robust speech recognition and speaker verification frameworks. Education: PhD in Hybrid Coding of Speech and Audio Signals (QUT, 2001) Research Interests span speech recognition, acoustic engineering, machine learning, and human factors in automotive environments. His projects address challenges in in-car speech enhancement, voice activity detection, and dialect mismatch compensation. Key Trends in Publications highlight innovations in i-vector modeling , FPGA-based audio processing , and likelihood-maximizing frameworks . Collaborations with experts like Sridharan and Vogt underscore his role in advancing speaker verification systems. Technical Contributions include developing the QUT-NOISE-TIMIT corpus and pioneering FPGA implementations for real-time speech enhancement.

• Neuromorphic Engineering
• Edge AI
• Computer Architecture
• +۴ مورد دیگر

Dr. A. Yousefzadeh is an Assistant Professor in Edge AI at the University of Twente (joined February 2024), affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) within the Department of Computer Architecture Design and Test for Embedded Systems. He holds a Ph.D. in Neuromorphic Engineering from IMSE (Instituto de Microelectrónica de Sevilla), where his thesis focused on bio-inspired vision processing. His research specializes in neuromorphic computing systems, with emphasis on: Designing ultra-low-power AI processors and event-based vision systems Developing hardware accelerators for spiking neural networks (SNNs) Edge AI deployment for sensor-based applications Hardware-software co-design for energy-efficient computing His publication trends (2015-2025) reveal core foci on neuromorphic processor architectures (e.g., SENECA, NeuronFlow), event-based vision processing, hardware-aware neural network optimization, and 3D integration techniques. Recent work explores activation sparsification in transformers and hybrid analog-digital neuromorphic systems. Prior to academia, he contributed to industry neuromorphic projects: Architected the NeuronFlow processor at GrAI Matter Labs (acquired by Snap) Led SENECA processor development at imec's Hardware Efficient AI group He currently leads research on next-generation edge AI processors at UT's Embedded Systems lab.

• Modeling of devices and components for engineering applications
• Modeling and analysis of dynamical systems and dynamical systems networks
• Design and implementation of digital embedded systems
• +۶ مورد دیگر

Matteo Lodi is an Assistant Professor at the University of Genoa , Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN). His research focuses on modeling devices for engineering applications, dynamical systems analysis, and digital embedded systems design. He teaches courses such as Circuits and Systems , Electrotechnics , and Signal Processing in Robotics . Education: Laurea (B.Sc.) in Electronic Engineering from the University of Genoa (2015). Research Interests: His work spans power electronics, control systems, and synchronization dynamics. Key areas include inductor modeling (focusing on ferrite and amorphous-core materials), nonlinear model predictive control (NMPC), and grid stability solutions for renewable energy integration. He also explores cluster synchronization in complex networks and biologically inspired control systems for locomotion. Publications: Recent work highlights include FPGA-based NMPC implementations, virtual inertia controllers for wind turbines, and advanced inductor models accounting for saturation and thermal effects. His research bridges theoretical dynamical systems analysis with practical applications in power electronics and embedded systems.