جست‌وجوی استاد و پژوهشگر

Farhad Aslaniمشاهده پروفایل

دانشیار

• Structural Engineering
• Concrete Engineering
• Sustainable Construction Materials
• +۵ مورد دیگر

Dr. Farhad Aslani is an Associate Professor in the Department of Civil, Environmental and Mining Engineering at the University of Western Australia (UWA), serving as Director of the Materials and Structures Innovation Group. He leads the $250M Australian Composites Manufacturing CRC and co-leads UWA's Engineering Materials Research Cluster. His research focuses on innovative construction materials, including self-sensing concrete, 3D-printed composites, and fire-resistant materials. He has secured over $20M in CRC funding and holds leadership roles in national/international conferences. Key awards include the 2024 Concrete Institute WA Rising Star Award and multiple citation milestones. His work aligns with sustainable development goals, emphasizing eco-friendly materials and infrastructure resilience. Education: PhD in Structural Engineering, University of Technology Sydney (2014) Certificates in Leadership, Research Commercialization, Public Policy, and Project Management from Curtin University, Queensland University of Technology, RMIT, and UTS. Research Interests: Smart materials, sustainable concrete technologies, additive manufacturing, blast/fire resistance, and composites for infrastructure. His lab develops self-sensing concretes, lightweight engineered composites, and electromagnetic shielding materials. Grants & Projects: $4.3M ACM CRC project on composite repairs ARC grants for nanocomposite coatings and fire facilities Main Roads WA funding for timber bridge strengthening Expertise: Structural design, composite materials, and industrial collaborations (e.g., Woodside, Holcim). He advises on major projects like the Morley Ellenbrook Rail Line and Forrestfield Airport Link. Awards: 2024 Concrete Institute WA Rising Star Highly Cited Scholar (ScholarGPS, 2024) Most Cited Paper Awards (2018–2020)

• RF IC Design
• Mixed-Signal IC Design
• Wireless Communication Systems
• +۴ مورد دیگر

Bertan Bakkaloglu is the On Semiconductor Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he has been since 2004. Prior to ASU, he worked at Texas Instruments focusing on analog, mixed-signal, and RF SoC development for communication transceivers. His research expertise spans RF and mixed-signal IC design, wireless/wireline communication systems, and broadband communication systems. Education: Ph.D. in Electrical Engineering, Oregon State University (1995) M.S.C. in Electrical Engineering, University of Houston (1992) Research Interests: RF and mixed-signal integrated circuits Power management ICs (including LDO regulators and DC-DC converters) High-efficiency power delivery systems Radiation-hardened electronics for space applications MEMS-based sensor systems Biomedical circuits for implantable devices Grants & Collaborations: Over 40+ funded research projects with institutions like NASA/JPL, BAE Systems, and NSF, focusing on power electronics, space systems, and biomedical applications Key projects include radiation-hardened converters, self-calibrating DACs, and implantable medical device circuits Industry partnerships with Texas Instruments, Space Micro, and FLIR Professional Activities: Technical committee member for IEEE Radio Frequency Integrated Circuits Conference Founding chair of IEEE Solid-State Circuits Society Phoenix Chapter

Dushan Boroyevichمشاهده پروفایل

استاد

• Power Electronics
• Modular Multilevel Converters
• High-Frequency Switching
• +۵ مورد دیگر

Dushan Boroyevich is a University Distinguished Professor at Virginia Tech's Bradley Department of Electrical and Computer Engineering and serves as Deputy Director of the Center for Power Electronics Systems (CPES). He holds adjunct roles at Tsinghua, Xi'an Jiaotong, Zhejiang, and National Cheng-Kung Universities. His research focuses on power electronics systems, including multi-phase power conversion, electronic power distribution, and modular multilevel converters. He pioneered the geometric modeling approach for high-frequency converters and has led over 200 students in generating 1000+ publications and 20 patents. Education: Dipl. Ing. (University of Belgrade, 1976), M.S. (University of Novi Sad, 1982), Ph.D. (Virginia Tech, 1986). Awards include IEEE Fellow, IEEE William E. Newell Award, and election to the U.S. National Academy of Engineering (2014). His CPES leadership has driven global advancements in power electronics integration and modularization. Research emphasizes high-power density, EMI mitigation, and next-gen SiC-based converters. Recent work includes medium-voltage PEBB designs, common-mode noise reduction, and grid-interface systems. He collaborates closely with industry through CPES's 80+ member consortium. Awards: IEEE Fellowships, Owen Distinguished Service Award, European Power Electronics Association Awards Labs/Teams: CPES, Virginia Tech Power Electronics Research Group Grants/Projects: NSF National Engineering Research Center funding, Industry Consortium projects

• Electromagnetic Interference (EMI)
• Filter Design
• Time-Domain Analysis
• +۷ مورد دیگر

Daria Nemashkalo is a researcher affiliated with the Digital Society Institute and Radio Systems at the University of Twente. Her work focuses on electromagnetic interference (EMI) filter design, time-domain analysis, and multichannel systems, particularly in power electronics and three-phase applications. Key Research Areas: EMI filter performance, mode decomposition, common mode choke saturation, and time-domain measurement techniques. Contributions: Published extensively on EMI mitigation strategies and filter optimization, including work on multichannel testing and real-world implementation challenges. Collaborations: Active in electromagnetic compatibility symposia, notably with peers like Peter Koch and Frank Leferink.

• Machine learning
• Artificial intelligence
• Big data analytics
• +۸ مورد دیگر

Gianluca Setti is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where he has been serving since 2017. He previously held positions at the University of Ferrara from 1997 to 2017. His institutional roles include being the Contact Person for the Research Quality Evaluation process, Member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and Member of the University Quality Assurance Committee. He serves as Editor-in-Chief of the Proceedings of the IEEE, the first non-US editor to hold this position. Dr. Setti's research spans multiple interdisciplinary fields including machine learning, artificial intelligence, big data analytics, Internet of Things, biomedical signal processing, power electronics, and electromagnetic compatibility. His work bridges theoretical foundations with practical applications, particularly focusing on compressed sensing, neural networks, and circuit design for specialized applications. His research has significant implications for healthcare, sustainable infrastructure, and next-generation electronics. His publication record reveals a consistent trajectory from foundational work in chaotic systems and neural networks to contemporary applications in AI, IoT, and edge computing. The most recent publications demonstrate his focus on anomaly detection at the edge, neural oracles for biosignal processing, and power electronics innovations. His work shows strong integration between theoretical signal processing and practical circuit implementation. 1998 Caianiello prize (best Italian Ph.D. thesis on Neural Networks) IEEE Fellow (2006) IEEE Circuits and Systems Society Distinguished Lecturer (2004, 2015) 2004 IEEE CAS Society Darlington Award 2013 IEEE CAS Society Meritorious Service Award 2013 IEEE CAS Society Guillemin-Cauer Award 2019 IEEE Transactions on Biomedical Circuits and Systems best paper award Multiple best paper awards at major conferences including ECCTD2005, EMCZurich2005, ISCAS2011, PRIME2019, and EMCCOMPO2019 Dr. Setti has supervised numerous PhD students across various research domains including electromagnetic compatibility, signal and power integrity, communication networks, mechatronics and robotics. His research is supported by significant funding including national PRIN projects, EU-funded JTI-ECSEL initiatives, and commercial contracts. He leads the VLSILAB Group at DET, focusing on circuit architectures, embedded systems, and AI applications. His current projects include DECORI (anomaly detection), StorAIge (embedded storage for AI), PROGRESSUS (energy infrastructure), CONNECT (smart grid), and CONVERGENCE (wearable healthcare applications).

• Power Electronics
• Power Converter Systems
• Motor Drive Systems
• +۲ مورد دیگر

Mahima Gupta is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison. Her research focuses on power electronics, motor drives, and power converter systems with applications in renewable energy integration and grid infrastructure. Her educational background includes: PhD in Electrical Engineering, University of Wisconsin-Madison (2019) MS in Electrical Engineering, University of Wisconsin-Madison (2015) BE in Electrical Engineering, Birla Institute of Technology & Science, Pilani (2011) Dr. Gupta's research spans multiple areas of power electronics with particular emphasis on Power Electronics Conversion & Control , Modular Multi-level Power Converters , and Motor Drive Systems . Her work addresses critical challenges in the application of Wide Band-gap Semiconductor Devices and mitigating Electromagnetic Interference Issues in modern power electronic circuits. Her research has significant implications for renewable energy integration, electric transportation, and next-generation power grid infrastructure, with a strong focus on efficiency, reliability, and power density optimization. Her recent publications demonstrate a cohesive research trajectory focused on high-performance power conversion systems, with particular attention to modular architectures, fault tolerance mechanisms, and innovative topologies that minimize energy storage requirements while maintaining high performance. Her work spans from fundamental converter designs to application-specific implementations for motor drives, wireless power transfer, and grid integration, showing increasing sophistication and real-world relevance. Dr. Gupta has received several prestigious awards including: Gerald Holdridge Teaching Excellence Award from University of Wisconsin-Madison (2018) Austrian Marshall Plan Scholar for Visiting Scholar position at Technische Universit¨at Graz, Austria (2016) Edward R. Felber Power Fellow from University of Wisconsin-Madison (2016) As a dedicated educator, Dr. Gupta advises graduate students through courses including ECE 699 (Advanced Independent Study), ECE 790 (Master's Research), and ECE 890 (Pre-Dissertator's Research). Her teaching portfolio also includes specialized courses like ECE 512 (Power Electronics Laboratory), demonstrating her commitment to both theoretical and practical aspects of power electronics education. Her research program has attracted significant scholarly attention, as evidenced by her productive publication record in top-tier power electronics conferences and journals.

Pooya Davariمشاهده پروفایل

استاد

• Harmonic and EMI analysis and mitigation in grid-tied converters
• Electromagnetic interference and compatibility
• High power density power electronic systems
• +۲ مورد دیگر

Pooya Davari is a Professor and Head of the Section for Applied Power Electronic Systems at Aalborg University , Denmark. He leads the EMI/EMC in Power Electronics Research Group and serves as Vice Chair of the Energy Efficiency Mission. His research focuses on electromagnetic interference (EMI) and harmonic mitigation in power electronic systems, with over 200 publications and significant contributions to renewable energy integration. Education: B.Sc. and M.Sc. in Electronic Engineering (2004, 2008), Ph.D. in Power Electronics from Queensland University of Technology (2013) Prior Roles: Lecturer at QUT (2013–2014), Postdoc at AAU (2014) Research Interests: Harmonic and EMI analysis in grid-tied converters High power density converter design Signal processing for converter modeling Reliability of power electronic systems Article Trends: Recent work emphasizes EMI/EMC in renewable energy systems, wide bandgap semiconductors (SiC/GaN), and reliability modeling for EVs and hydrogen production via electrolysis. Sub-fields include converter topologies, grid integration challenges, and AI-driven diagnostics. Scientific Awards: Equinor 2022 Prize (Denmark’s oldest engineering award) IEEE EMC Society Young Professional Award (2020) World’s Top 2% Highly Cited Scientist (Stanford, 2021–2025) Multiple best paper awards (IEEE, Applied Sciences, etc.) Grants & Editorial Roles: Recipient of grants from Innovation Fund Denmark (Supra-EMC project), Horizon Europe (SOLARIS), and industry partnerships. Serves as Area Editor for IEEE Transactions on Transportation Electrification , Associate Editor for IEEE Transactions on Power Electronics , and Editor-in-Chief of Circuit World Journal (2020–2025). Labs & Standards: Coordinator of the EMC Laboratory at Aalborg University. Member of IEC standardization Working Groups 6 and 8 (TC77A), focusing on EMC strategies for power grids.

• Power Electronics Packaging
• High-Density Integration
• Medium-Voltage Power Modules
• +۳ مورد دیگر

Dr. Christina DiMarino is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and a faculty member in the Center for Power Electronics Systems (CPES). She earned her Ph.D. (2018) and M.S. (2014) in Electrical Engineering from Virginia Tech, and her B.S. from James Madison University (2012). She is based at the Virginia Tech Research Center (VTRC) in Arlington, VA, where she established and manages two CPES laboratories. Her research focuses on power electronics packaging, high-density integration, medium-voltage power modules, and wide-bandgap semiconductors. She holds leadership roles in IEEE PELS, including Vice Chair of Technical Committee 2 and Member-at-Large of the Administrative Committee, and serves on the PCIM Europe Advisory Board. Notable awards include the 2024 IEEE PELS Richard M. Bass Outstanding Young Engineer Award and the 2022 Outstanding New Assistant Professor Award. Her work emphasizes interdisciplinary collaboration and industry partnerships through CPES, addressing challenges in high-power systems, thermal management, and electromagnetic compatibility. Education: Ph.D. & M.S. in Electrical Engineering (Virginia Tech), B.S. in Electrical Engineering (James Madison University) Key Roles: IEEE PELS Leadership, PCIM Europe Advisory Board Member, CPES Lab Director Research Themes: High-Voltage Packaging, SiC Modules, Power Electronics Integration

Tayfun Günelمشاهده پروفایل

استاد

• Microwave Circuits
• Radar Systems
• Antennas
• +۱۲ مورد دیگر

Tayfun Günel is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU) , Faculty of Electrical and Electronics Engineering. He holds a PhD (1993), MSc (1988), and BSc (1986), all from ITU. His research spans microwave circuits, radar systems, antennas, and optimization using genetic algorithms and soft computing. His research interests include Microwave Circuits , Radar and Antennas , Optimization , and Genetic Algorithms . His work focuses on impedance matching, microstrip antennas, noise modeling, and metamaterial-based microwave components. He has taught courses such as Electromagnetic Fields, Radar Systems, and Satellite Communication Systems. The recent publications reflect a strong trend in microwave circuit design , antenna miniaturization , and the application of evolutionary algorithms (genetic algorithms, PSO) and machine learning (neural networks, SVR) in electromagnetic design and optimization. There is a consistent focus on practical microwave components like transmission lines, patches, and amplifiers, often using nanomaterials (e.g., carbon nanotubes) and metamaterials . His work bridges theoretical modeling with computational optimization for real-world RF and radar applications. Email: gunelmur@itu.edu.tr Professor Günel has supervised 2 completed PhD theses, 2 ongoing PhD theses, 23 completed master's theses, and 1 ongoing master's thesis, demonstrating a significant contribution to student mentoring. There are no specific grants or funding sources mentioned in the provided text. He is affiliated with research in microwave systems and antenna design , likely operating within the broader research ecosystem of the Electronics and Communication Engineering Department at ITU, which includes labs such as the Microwave Systems and Antennas Laboratory and the Radar and Microwave Technologies Research Laboratory.

Geraint Jewellمشاهده پروفایل

استاد

• Electrical Machines
• Electromagnetic Modeling
• Aerospace Applications
• +۱۰ مورد دیگر

Professor Geraint Jewell is affiliated with the University of Sheffield , serving as Director of the Rolls-Royce University Technology Centre in Advanced Electrical Machines (since 2006) and Director of the EPSRC Future Electrical Machines Manufacturing Hub (since 2019). He is a graduate of the university (BEng 1988, PhD 1992) and has held academic roles since 1994. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship at Rolls-Royce (2006-2008) Former Faculty Director of Research and Innovation (2008-2011) Former Head of Department (2013-2019) His research focuses on power-dense electrical machines for aerospace applications , including permanent magnet machines , switched reluctance machines , and linear actuators . He has supervised ~20 PhD students and led collaborations with Rolls-Royce on high-temperature devices (up to 800°C) and aero-engine starter-generators. Recent publications analyze stator insulation thermal degradation , eddy current control in additively manufactured materials , and magnetic loss prediction in silicon steel. His work spans electromagnetic modeling , core loss calculation , and advanced manufacturing techniques for electrical machines. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship (2006-2008) He has advised PhD students across topics like consequent-pole PM machines , doubly salient SynRMs , and core loss characterization . His Electrical Machines and Drives Research Group explores modular motor design and magnetic material optimization for aerospace and electric vehicles.

Ramiro Serraمشاهده پروفایل

دانشیار

• Electromagnetic Compatibility (EMC)
• Statistical Electromagnetics
• Wireless Coexistence and Interference Studies
• +۳ مورد دیگر

Ramiro Serra is an Associate Professor at the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in the Netherlands. He is affiliated with the Electrical Energy Systems group and the High Tech Systems Center , focusing on Power Conversion and Electromagnetics . Research Interests include Electromagnetic Compatibility (EMC) , Statistical Electromagnetics , Wireless Coexistence , and Interference Studies . His expertise spans the design, modeling, and operation of Electromagnetic Mode-Stirred Reverberation Chambers , noise propagation in IC substrates, and EMC aspects in large infrastructures. Notable Contributions involve novel methods for EMI Reduction in mixed electrical class modules, VNA-Based TRP Measurements , and quantifying Loading Effects in reverberation chambers. His work impacts domains like Consumer Electronics , Automotive , and Medical Devices . Academic Leadership includes roles in international committees such as the International Steering Committee of EMC Europe , Chair of URSI Commission E , and Secretary of the General National URSI Committee . He also contributes to standardization efforts via IEC 61000-4-21 and CIRED/CIGRE joint working groups.

Alan Mantoothمشاهده پروفایل

استاد

• Analog and Mixed-Signal IC Design
• Power Electronics
• Semiconductor Device Modeling
• +۳ مورد دیگر

Alan Mantooth is a Distinguished Professor holding the Twenty-First Century Research Leadership Chair in Engineering within the Department of Electrical Engineering at the University of Arkansas, Fayetteville. He serves as Director of the National Center for Reliable Electric Power Transmission (NCREPT), Executive Director for GRAPES (NSF I/UCRC) and SEEDS (DoE Center), and Deputy Director of the NSF Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS). His educational background includes: B.S. in Electrical Engineering, University of Arkansas M.S. in Electrical Engineering, University of Arkansas Ph.D. in Electrical Engineering, Georgia Institute of Technology Dr. Mantooth's research centers on analog/mixed-signal IC design, power electronics CAD, and semiconductor device modeling with emphasis on harsh-environment applications. His pioneering work in silicon carbide (SiC) and gallium nitride (GaN) power systems has enabled high-temperature operation for electric vehicles and renewable energy infrastructure, significantly advancing reliability in extreme conditions. His 2025 publications reveal strong trends toward AI-driven power electronics (e.g., SolarFormer++ for PV profiling), wide-bandgap device modeling (β-Ga2O3, SiC), and innovative packaging solutions. Key themes include reliability engineering for extreme environments, multi-physics optimization, and explainable AI for safety-critical power systems. Major scientific recognition includes: IEEE Fellow (2009) for power electronic device modeling Three R&D 100 Awards (2009, 2014, 2016) for SiC power modules IEEE Power Electronics Society Technical Achievement Award (2019) Multiple university teaching/research awards including SEC Faculty Achievement Award (2015) As an exceptional mentor (UA Outstanding Mentor 2006-2008), he co-founded Lynguent and Ozark Integrated Circuits. His centers NCREPT, GRAPES, and SEEDS have secured major funding from NSF, DoE, and industry partners, supporting over 350 refereed publications and numerous patents. Current research focuses on AI-enhanced power electronics, recyclable packaging, and next-generation wide-bandgap device characterization. He leads the NCREPT test facility and multi-institutional teams developing grid-connected power electronic systems, secure energy delivery architectures, and thermal management solutions for high-power-density applications, with direct impact on electric transportation and renewable energy integration.

• Advanced Device Technologies
• Materials Science
• Nanoengineering
• +۴ مورد دیگر

Olin Hartin serves as a Professor of Practice in Arizona State University's School of Electrical, Computer and Energy Engineering, leveraging over 30 years of Fortune 500 industry experience in science and technology. Based at the Tempe campus (GWC 340, Mailcode 5706), he maintains an active research profile with 25 patents and more than 60 scholarly publications. His academic credentials include: Ph.D. in Electrical Engineering M.S. in Electrical Engineering M.S. in Physics B.S. in Physics Hartin's research centers on advanced device technologies and materials, with demonstrated expertise in nanoengineering, RF circuit design, and semiconductor physics. His work bridges theoretical modeling with practical fabrication challenges, particularly in gallium nitride transistor development and electromagnetic compatibility. Recent projects address thermal management in high-power devices and noise isolation techniques for mixed-signal integrated circuits, driven by industry applications in wireless infrastructure. Analysis of his publication history reveals sustained focus on GaN HEMTs since 2010, with increasing emphasis on machine learning applications for FPGA deployment. His work consistently targets real-world implementation challenges, reflecting his industry background through patents in antenna design, ESD protection, and RF component optimization. Professional recognition includes: Senior Member of IEEE In teaching, Hartin supervises senior design laboratories (EEE 488/489) and instructs core courses including Hardware Design Language/Programming Logic (EEE 333), Circuits II (EEE 334), and Machine Learning with FPGA Deployment (EEE 405). His industry perspective enriches curriculum development, though specific grant funding details are not publicly documented. While no dedicated research lab is specified, his patent portfolio indicates ongoing collaboration with semiconductor industry partners.

• Smart Electricity Grids
• Energy Storage Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Daniel Månsson is a Professor at the Department of Electrical Engineering, Royal Institute of Technology (KTH), specializing in smart electricity grids and power system components. His work spans electromagnetic compatibility (EMC) of large distributed systems, energy storage optimization, and privacy protection in smart metering. PhD in Engineering Physics (with specialization in Electromagnetism) Docent (Swedish Academic Title) in Electrical Engineering His research focuses on: Optimization of self-sufficient microgrids with energy hubs Smart meter privacy protection using energy storage EMC analysis of photovoltaic systems and UWB transients Hybrid energy storage system performance in renewable grids Recent publications indicate expertise in: Electromagnetic interference from solar PV systems Cyber-physical security in smart meters Conducted emission analysis Greenhouse gas reduction through optimized storage

James Grossمشاهده پروفایل

استاد

• Wireless Networking
• Mobile Systems & Networks
• Ultra-reliable Low-latency Communications
• +۱۱ مورد دیگر

James Gross is a Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, Stockholm. He leads research in mobile systems and networks, with a focus on 5G/6G, edge computing, and performance evaluation. He is Associate Director of KTH's Digital Futures center and a board member of the Innovative Centre for Embedded Systems. Previously, he directed the ACCESS Linnaeus Centre (2016–2019) and was Assistant Professor at RWTH Aachen University. PhD, TU Berlin (2006) Studies: TU Berlin, UC San Diego His research lies at the intersection of wireless networking, edge computing, and mathematical performance modeling. Key areas include ultra-reliable low-latency communications (URLLC), age-of-information, network calculus, and resource allocation. He applies these to 5G/6G, cyber-physical systems, and industrial IoT. His work combines theoretical modeling with real-world implementation and standardization impact. The recent publications highlight a strong focus on deterministic and reliable communications for future networks. Topics include hierarchical inference at the edge, age-of-information optimization, finite blocklength coding, and integration of TSN with wireless systems. There is a clear trend towards AI/ML for resource management and semantic communications, reflecting the evolution of intelligent edge networks. Best Paper Award, ACM MSWiM 2015 Best Demo Paper Award, IEEE WoWMoM 2015 Best Paper Award, IEEE WoWMoM 2009 Best Paper Award, European Wireless 2009 ITG/KuVS Dissertation Award, 2007 James Gross has supervised PhD students such as Samie Mostafavi and advises numerous master's projects. His research has been funded by national science foundations in Germany and Sweden, the ICT TNG SRA, Linnaeus ACCESS Centre, DFG-funded UMIC Centre, German Ministry of Science, and various industry partners. His work has led to patents and influenced wireless standards. He is involved in initiatives like the TECoSA project on trustworthy edge computing and organizes summer schools on Edge AI and 6G. His lab conducts experimental research on edge computing testbeds (e.g., Ainur, ExPECA) and wireless performance evaluation.