جست‌وجوی استاد و پژوهشگر

Gerd Vandersteenمشاهده پروفایل

استاد

• Nonlinear Systems Analysis
• RF Circuit Design
• System Identification
• +۵ مورد دیگر

Gerd Vandersteen is a Professor at the Vrije Universiteit Brussel (VUB) in the Department of Electronics and Informatics within the Faculty of Engineering. He serves as part-time Director (30%) of the Doctoral School of Natural Science and (Bio)Engineering (NSE) at VUB. His career spans academic research and industry collaboration, with significant contributions to nonlinear systems analysis and RF circuit design. His research interests focus on Nonlinear Systems Analysis , RF Circuit Design , System Identification , and Microwave Engineering . Vandersteen combines theoretical expertise in modeling nonlinear systems with practical experience in analog and RF design. His work emphasizes simulation-based analysis techniques, particularly using the Best-Linear-Approximation method for nonlinear system characterization. Vandersteen's publication record shows consistent output with 363 research outputs, including 103 articles and 164 conference papers. His recent work spans diverse areas from Arabic language processing to advanced RF measurement techniques, demonstrating interdisciplinary reach while maintaining core expertise in electronic systems. Key trends include nonlinear distortion analysis, frequency response characterization, and system identification methodologies. Best Paper Award (2002) Best Paper Award for 'Synchronizing modulated NVNA measurements on a dense spectral grid' (2012) IEEE Senior Member (2007) IEEE Instrumentation and Measurement Society Outstanding Reviewer (2014) As an educator, Vandersteen teaches CAE tools for electronic design, microwave design, and telecommunication techniques at VUB. He mentors PhD students through the international spring school on system identification and modeling techniques. His research is supported by multiple active projects including SRP78 (Center for Model-Based Systems Improvement), HERC61 (110 GHz real-time oscilloscope development), and VLOV106 (Flemish AI Academy establishment).

• Electronics
• Analog Design
• Circuits and Systems Theory
• +۴ مورد دیگر

Professor İsmail Serdar Özoğuz is a distinguished academic at Istanbul Technical University , affiliated with the Department of Electronics and Communication Engineering . Holding the title of Professor since 2009, he has contributed extensively to analog circuit design, neural network applications, and wireless communication systems. Ph.D. in Electronics and Communications Engineering (1995) Department Head (2020-present) Vice Dean (2017-2020) Research Interests: His work spans Electronics , Analog Design , Circuits and Systems Theory , with recent focus on: Neural network-based filter optimization Memristor emulator circuits Spintronic devices for wireless and memory applications Intelligent optimization in RF designs Article Trends: Recent publications highlight AI integration in engineering challenges, power efficiency in wireless systems, and hardware-software co-optimization . His work bridges theoretical models (e.g., fractional-order neural networks) with practical implementations (e.g., GaN amplifiers). Scientific Awards: GEBIP Award (TUBA), 2002 Mustafa Parlar Foundation Research Incentive, 2003 TUBITAK Incentive Award, 2004 Grants & Projects: As Principal Investigator, he has led initiatives on: Spintronic devices for wireless/memory/analog uses Passive combiners in HF transmitters High-power GaN amplifier development Fractional-order neural network models

• Approximate Computing
• Hardware Security
• Computer Architecture
• +۲ مورد دیگر

Vishesh Mishra is a Prime Minister's Research Fellow at the Department of Computer Science and Engineering, Indian Institute of Technology Kanpur. He concurrently serves as a Visiting Research Fellow at INRIA Centre, University of Rennes, France, and an External Research Collaborator at CANDLE LAB, IIT Roorkee. His research centers on hardware security vulnerabilities in approximate computing systems, with focus areas including hardware trojan detection in approximate circuits, energy-efficient error-resilient architectures, and side-channel attack mitigation. He develops novel methodologies for securing IoT devices and blockchain implementations through circuit-level innovations and floating-point approximation techniques. Analysis of his 15 most recent publications reveals dominant themes in approximate arithmetic unit design (adders/multipliers), hardware trojan countermeasures, and floating-point resilience. His work bridges theoretical security models with practical VLSI implementations, consistently targeting energy efficiency without compromising critical functionality in error-tolerant applications. Scientific recognition includes: Prime Minister's Research Fellowship (India's premier PhD fellowship) Collège doctoral de Bretagne international mobility grant (€9600 for 6-month INRIA research) His research is supported through competitive fellowships rather than traditional grants, with no student advising roles documented. Current collaborations span IIT Kanpur's C3i Center, IIT Roorkee's CANDLE LAB, and INRIA's Rennes research unit, focusing on cross-institutional hardware security projects.

Soroush Faramehrمشاهده پروفایل

دانشیار

• Power Electronics
• Semiconductor Technologies
• Renewable Energy
• +۵ مورد دیگر

Dr Soroush Faramehr is an Associate Professor (Research) at Coventry University's Institute for Future Transport and Cities. He holds a PhD in Electrical Engineering from Swansea University (2015), specializing in wide bandgap semiconductor technologies. His research focuses on developing high-efficiency compound semiconductor devices for decarbonization in automotive, aerospace, renewable energy, and industrial sectors. He has over 10 years of R&D experience, with a strong publication record in peer-reviewed journals, successful grant acquisitions, and supervision of postgraduate researchers. Education: PhD in Electrical Engineering (Swansea University, 2015). Postdoctoral research at Swansea University before joining Coventry in 2019. Research Interests: Power semiconductor devices (GaN, SiC), magnetic sensors, thermal management, and E-mobility applications. His work aligns with UN Sustainable Development Goals related to climate action and sustainable infrastructure. Key Projects: Includes leadership in initiatives such as 'Gallium Nitride Smart Power Integrated Circuit Technology' (2021–2025) and 'GaN Hall Sensors' (2020). He has secured funding for projects like 'High-Voltage fast-charging efficient Electric vehicle Powertrains' (2025–2029). Advising: Supervises students researching topics like GaN HEMT switching behavior, thermal management in e-scooters, and second-life EV battery utilization. His advisees include Xuyang Lu, Arun Mambazhasseri Divakaran, and current students Louiza Mavrovounioti and Vartika Pandey. Publications: Over 30 articles in journals such as IEEE Access and IEEE Transactions on Power Electronics. Research spans CFD modeling, magnetic sensor development, and GaN device optimization.

Marcus Handteمشاهده پروفایل

پژوهشگر

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +۳ مورد دیگر

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

Mohamad Mroueمشاهده پروفایل

پژوهشگر

• Embedded Systems
• FPGA
• Electronics
• +۵ مورد دیگر

Mohamad Mroue is affiliated with the Laboratory at the Electrical and Electronic Engineering of Paris, focusing on cutting-edge research in Embedded Systems, FPGA, Electronics, IoT, and Wireless Communications. His work emphasizes FPGA-based solutions for power optimization, reconfigurable wireless systems, and low-power wide-area networks (LPWANs). He has contributed to advancements in partial reconfiguration techniques, machine learning integration for hardware monitoring, and secure mobility management protocols for IoT devices. His research spans multiple domains including UWB transceiver design, PAPR reduction in DVB-T2 systems, and innovative sensor networks. Collaborations with colleagues like Jean-Christophe Prevotet and Fabienne Nouvel highlight his interdisciplinary approach to solving complex engineering challenges. Mroue’s publications reflect a strong emphasis on practical implementations and real-world applications of embedded and wireless technologies. Key technical contributions include an ARM-FPGA platform for adaptive wireless communication, automated data generation systems, and energy-efficient solutions for IoT mobility. His work bridges theoretical research with hands-on prototyping, often leveraging FPGA capabilities for high-performance and flexible systems.

• Medical Imaging
• Positron Emission Tomography (PET)
• Detector Physics
• +۱۲ مورد دیگر

David Schug is a Group Leader in PET detector research at the Chair of Imaging and Image Processing, RWTH Aachen University, Germany. He is also Co-Founder and Co-Director of Hyperion Hybrid Imaging Systems GmbH and serves as a Radiation Safety Officer. His research is centered on advancing positron emission tomography (PET) technology, particularly in detector design, time-of-flight performance, depth-of-interaction encoding, and integration with MRI systems. He is actively involved in both academic and industrial innovation in medical imaging. B.Sc. Physics, RWTH Aachen University (2006–2009) M.Sc. Physics, RWTH Aachen University (2009–2011) Dr.rer.nat., RWTH Aachen University (2012–2015) David Schug's research focuses on medical imaging physics , particularly PET detector development , hybrid PET/MRI systems , and advanced calibration techniques . His work integrates machine learning with physics-based models to enhance timing resolution and image quality. Key areas include ASIC-based readout electronics, RF shielding for MRI compatibility, and real-time data processing. He has made significant contributions to improving coincidence time resolution beyond 200 ps in clinical and preclinical systems. His recent publications demonstrate a strong trend in high-resolution PET detector design , with emphasis on time-of-flight capabilities , depth-of-interaction encoding , and in-system calibration methods . Articles frequently involve machine learning (e.g., gradient tree boosting), ASIC integration (TOFPET), and MRI compatibility. The research spans both preclinical and clinical applications, including breast cancer imaging, brain PET, and proton therapy monitoring. David Schug has not been publicly awarded any scientific prizes or fellowships based on available information. He advises several researchers and students involved in PET detector projects, as evidenced by co-authorship on numerous publications. His team develops cutting-edge detector platforms like the Hyperion series and collaborates on EU projects such as HYPMED. While specific grant details are not listed, his sustained research output and entrepreneurial activity suggest successful funding acquisition. His work bridges academia and industry through Hyperion GmbH. David Schug leads the PET detector research group at the Chair of Imaging and Image Processing, RWTH Aachen. He is part of AG START at Uniklinik RWTH Aachen and collaborates extensively with Prof. Volkmar Schulz. His team focuses on the Hyperion detector platform, developing inserts for simultaneous PET/MRI, with applications in oncology, neurology, and cardiology.

• Integrated Circuits
• RF Circuit Design
• Low-Power Electronics
• +۳ مورد دیگر

Jean-Baptiste Bégueret is a researcher with extensive contributions to integrated circuits , RF design , and low-power electronics . His work spans analog , digital , and mixed-signal systems.

• Electromagnetic Compatibility (EMC)
• Risk Management
• Software Defined Radio (SDR)
• +۶ مورد دیگر

Dr. Robert Vogt-Ardatjew is a researcher specializing in Radio Systems , with a focus on Electromagnetic Compatibility (EMC) , Risk Management , and Software Defined Radio (SDR) . His work spans Shielding Effectiveness , Propagation Channel Modeling , and Frequency-Selective Emission Detection , contributing to both academic research and practical EMC engineering solutions.

Farah Mohammadiمشاهده پروفایل

دانشیار

• Electro-thermal Analysis of Integrated Circuits
• RF and Microwave Circuit Design
• Applied Electromagnetics
• +۲ مورد دیگر

Farah Mohammadi is an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University, where she has held a faculty position since 2003. Her prior academic experience includes a lectureship at Iran University of Science & Technology (1992-1993), followed by industry work as a Senior System Architect at Nortel Networks Laboratories in Ottawa (2000-2002). Her educational background features a B.Sc. and M.Sc. in Telecommunication Engineering from Iran University of Science & Technology (1988, 1991), and a Ph.D. in Electronic Engineering from the Institute d'Electronique et Microelectronique du Nord (IEMN) at the University of Science and Technology of Lille, France (1998). Research focuses on advanced electro-thermal analysis of integrated circuits, development of electro-thermal test tools, microwave circuits CAD, applied electromagnetics, and modeling of interconnects and packaging effects in high-speed circuits. Her work bridges theoretical electromagnetics with practical RF/microwave component design methodologies. Publication analysis (2008-2010) reveals consistent integration of thermal and electromagnetic modeling for ICs and microwave components, with significant contributions to electro-thermal simulation tools, thermal management of dual-core processors, and efficient CAD for RF/microwave circuits.

Jon-Fredrik Nielsenمشاهده پروفایل

استاد پژوهشی

• Magnetic Resonance Imaging (MRI)
• Medical Imaging Technology
• Functional MRI
• +۴ مورد دیگر

Jon-Fredrik Nielsen is a Research Professor in the Departments of Radiology and Biomedical Engineering at the University of Michigan. His research focuses on advanced MRI technologies, including pulse sequence design, functional MRI, and quantitative imaging. He leads projects funded by NIH grants such as R21AG061839, R01EB023618, and R21EB019653, emphasizing innovations in MRI hardware and software. Research Interests: Steady-state MRI and RF pulse design Functional MRI and biomarker development Blood flow imaging and computational modeling Publications reflect contributions to open-source MRI frameworks (Pulseq/TOPPE), artifact correction, and novel imaging protocols. He holds patents related to MRI imaging techniques (e.g., US 9,791,530). Grants: NIH R21AG061839 (PI), NIH R01EB023618, NIH R21EB019653, and University of Michigan MCubed grants. Projects include improving fMRI reliability and developing vendor-agnostic MRI sequences. Labs/Teams: Active in the fMRI engineering group, contributing to software tools like TOPPE and Pulseq-Graphical Programming Interface.

Frederic Nabkiمشاهده پروفایل

دانشیار

• MEMS
• RF Integrated Circuits (RFICs)
• Phase-Locked Loops
• +۴ مورد دیگر

Prof. Frederic Nabki is an Associate Professor of Electrical Engineering at the École de technologie supérieure (Québec, Canada). He holds a B.Eng. (Honors) and Ph.D. in Electrical Engineering from McGill University. His primary research focuses on MEMS integration with CMOS systems, RF integrated circuits (RFICs), and ultra-wideband (UWB) systems. He leads the Microtechnology and Microsystems Laboratory (Micro²) and co-directs the CoFaMic Research Centre at UQAM, exploring novel MEMS fabrication processes and hybrid RF-MEMS systems. Education: B.Eng. (McGill, 2003), Ph.D. (McGill, 2010) Affiliations: IEEE Montreal Section Secretary Labs: CoFaMic (UQAM), Micro² (ETS) His research interests span MEMS resonators, phase-locked loops, and UWB transceivers. Notable contributions include patents in MEMS-CMOS integration and book chapters on MEMS resonators. He has secured funding from NSERC, CFI, and ReSMiQ, focusing on miniaturization, energy efficiency, and system-level integration challenges. Recent work emphasizes energy-efficient UWB systems, terahertz modulation, and deep learning-enhanced ultrasonic sensors. His interdisciplinary approach bridges microelectromechanical and electronic systems for applications in healthcare, aerospace, and industrial IoT. Awards: Governor General of Canada’s Academic Bronze Medal (2025). Grants and collaborations include NSF-funded projects on MEMS fabrication and partnerships with Quebec’s Microsystems Strategic Alliance. He advises on emerging trends in hybrid RF-MEMS systems and low-power sensor networks.

• Early Fault Detection Technology
• Electrical Infrastructure
• Powerline Asset Monitoring
• +۵ مورد دیگر

Professor Alan Wong is a leading researcher in early fault detection technology for electrical infrastructure and founder/CEO of IND Technology, a startup commercializing EFD technology. He holds a professorial role at RMIT University's School of Engineering, leading the High Voltage Research and Teaching Laboratory. His expertise spans electrical engineering, with a focus on power system reliability, smart sensors, and nanocomposite materials. He has over 15 years of academic and industry experience, including program leadership for RMIT's Electrical Engineering degrees. Awards include the Clunies Ross Award (2021) and RMIT Vice-Chancellor's Research Impact Award (2021). Research Interests: Partial discharge detection Nano-dielectric materials Early fault detection systems IoT-based sensor networks Machine learning for powerline analysis Key Projects: Development of vegetation fire detectors using machine learning Stability analysis of hybrid AC/DC grids Multi-layered functionally graded materials for HV insulators Awards: 2021: Clunies Ross Award, RMIT Research Impact Award 2016: Fire Awareness Innovation Award Supervision: Leads projects on powerline asset monitoring, conductor damage analysis, and HV insulator stress control. Teaches in electrical engineering programs (BH075, MC235). Industry Impact: IND Technology's EFD products are used by major utilities in the US and Australia to prevent wildfire risks from powerline faults.

Aurélien Francillonمشاهده پروفایل

استاد

• Cybersecurity
• Embedded Systems Security
• Software Security
• +۳ مورد دیگر

Aurélien Francillon is a full professor in the Networking and Security Department at EURECOM, France. His research focuses on embedded systems security, software security, and telecom fraud. He holds a PhD from INRIA Grenoble and previously worked as a postdoc at ETH Zurich's System Security Group. Education & Experience: PhD in Computer Science, INRIA Grenoble Postdoctoral Researcher, ETH Zurich (2013-2015) Current Position: Full Professor at EURECOM Research Interests: His work addresses critical challenges in securing embedded systems, firmware analysis, side-channel attacks, and telecom fraud. He pioneers tools like Avatar2 for firmware analysis and explores vulnerabilities in Bluetooth, TLS, and CI/CD systems. His methodologies emphasize reproducibility (BEERR framework) and automation (LibAFL QEMU). Labs & Collaborations: Collaborates with industry partners like Intel Labs, SAP Security Research, and Cisco Talos. His lab leads open-source projects including SymCC, LibAFL, and X-Ray-TLS. Advises over 20 PhD/Master students and postdocs, many now in academia and industry. Awards & Recognition: (No explicit awards listed, but extensive contributions to top-tier security conferences and open-source frameworks.) Grants & Funding: Secures funding through European Research Council grants and industry partnerships for projects on firmware security, IoT vulnerabilities, and CI/CD pipeline integrity.