جست‌وجوی استاد و پژوهشگر

Brendan Mullaneمشاهده پروفایل

پژوهشگر ارشد

• Electrical Engineering
• Semiconductor Design
• Digital Signal Processing
• +۳ مورد دیگر

Brendan Mullane is a Senior Research Fellow at the University of Limerick , affiliated with the Faculty of Science and Engineering and the Department of Electronic and Computer Engineering . Research Focus: Advanced analog/digital converter design, dynamic element matching, and biomedical signal processing. Key Contributions: Development of high-order noise shaping techniques for DACs, hardware implementations for brain injury detection, and optimization of ADC/DAC architectures. Contact: brendan.mullane@ul.ie Research Interests: Brendan's work centers on precision semiconductor design , with a focus on error correction in digital-to-analog converters and bandpass filtering techniques . His research bridges VLSI optimization and biomedical diagnostics , particularly in applying qEEG analysis for clinical applications. He has extensively explored mismatch shaping , inter-symbol interference mitigation , and switched-capacitor filter performance , contributing to the field of embedded systems for signal processing . Scientific Contributions: His publications demonstrate a strong emphasis on high-speed, low-noise analog circuits and on-chip testing methodologies . Key trends include programmable error shaping , real-time FFT processing , and IEEE 1500 standard optimization for ADC/DAC testability.

• Monolithic Microwave Integrated Circuits (MMIC)
• Millimeter-wave and Terahertz Electronics
• Packaging Technologies for High-Frequency Circuits
• +۲ مورد دیگر

Vessen Vassilev serves as an Associate Professor in the Department of Microtechnology and Nanoscience at Chalmers University of Technology, Sweden, where he has been affiliated since 1998. His academic journey began at Sofia Technical University before transitioning to Chalmers for advanced degrees and his current research leadership role. His educational qualifications include: M.Sc. in Radio Communications, Sofia Technical University, Bulgaria (1995) M.Sc. in Digital Communications, Chalmers University of Technology (1998) Ph.D., Department of Radio and Space Science, Chalmers University of Technology (2003) Professor Vassilev's research focuses on pioneering Monolithic Microwave Integrated Circuits (MMIC) for frequencies exceeding 100 GHz, with dual emphasis on circuit design and specialized packaging technologies. His work extends to millimeter-wavelength sensor development, most notably an automotive polarimetric radar system validated in real traffic conditions for road surface characterization—a breakthrough enabling differentiation between wet, icy, and dry pavement through advanced electromagnetic sensing. Analysis of his recent publications (2021-2025) reveals concentrated expertise in D-band/E-band communications, automotive radar applications, and innovative packaging solutions. Key thematic threads include road surface sensing using polarimetric techniques, high-speed wireless data transmission above 100 GHz, and gap waveguide antenna integration—demonstrating consistent contributions to next-generation millimeter-wave systems for both communication and safety-critical applications. He maintains active research within Chalmers' Microwave Electronics Laboratory, driving projects that bridge theoretical circuit design with practical implementation in radio astronomy heritage systems and emerging automotive technologies.

Roy Simorangkirمشاهده پروفایل

استادیار

• Antenna Design
• Wireless Communication Systems
• Biomedical Sensors
• +۳ مورد دیگر

Dr. Roy Simorangkir is an Assistant Professor in the Department of Engineering at Durham University, specializing in innovative antenna and sensor design for next-generation wireless systems. His work bridges electromagnetics, materials science, and biomedical applications. B.S. in Telecommunication Engineering, Institut Teknologi Bandung (2010) M.S. in Electrical and Electronic Engineering, Yonsei University (2014) Ph.D. in Electronic Engineering, Macquarie University (2018) His research focuses on unconventional antennas and sensors for wireless communication, emphasizing cutting-edge methodologies and materials. Key areas include: Biomedical implantable devices Flexible and transparent antenna design RF energy harvesting Chipless RFID systems Millimeter-wave radar integration Wearable IoT sensors Recent publications highlight advancements in implantable antennas for cardiac applications, triband wearable antennas for GNSS tracking, and ML-enhanced RFID systems. His group collaborates with institutions like Tyndall National Institute and P&G on sustainable IoT projects. Scientific recognition includes the 2025 IEEE Sensors Journal Best Paper Runner-Up Award. His lab at Durham welcomes students and researchers working on wireless technology and biomedical innovations.

Li-Shiuan Pehمشاهده پروفایل

استاد

• Energy-Efficient Hardware Systems
• Neural Network Hardware Acceleration
• Wearable Sensing Technologies
• +۴ مورد دیگر

Li-Shiuan Peh is a Provost's Chair Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS) . She previously held faculty positions at MIT (2013-2016) and Princeton University (2002-2009), advancing from Assistant to full Professor. Education: B.S. from National University of Singapore (1995) Ph.D. from Stanford University (2001) Her research focuses on energy-efficient hardware systems , spanning neural network accelerators for edge computing , privacy-preserving embedded systems , on-chip communication networks , and hardware security . Current projects include AI-on-skin interfaces , secure Network-on-Chip (NoC) architectures , and low-power wearable sensors . Scientific Awards: IEEE Fellow (2017) National Research Foundation Returning Singaporean Scientist Award (2016) ACM Distinguished Scientist (2011) MICRO Hall of Fame Award (2011) National Science Foundation CAREER Award (2003) Her work has driven innovations in bufferless NoC architectures , collaborative traffic advisory systems , and laser attack benchmarks , with publications in top venues like DATE, NOCS, and DAC. She leads an interdisciplinary research group at NUS, advising graduate students in computer architecture and hardware security.

Melinda Piket-Mayمشاهده پروفایل

استاد

• Electromagnetics
• RF Engineering
• Microwave Engineering
• +۴ مورد دیگر

Melinda Piket-May is a Professor and Associate Chair for External Relations and Outreach in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. Her work focuses on electromagnetics, RF engineering, and microwave systems, with a strong emphasis on computational electromagnetics and FDTD modeling. She leads research initiatives in signal integrity, antenna design, and high-frequency circuit analysis. Her research interests span advanced topics such as quasi-TEM behavior in microstrip lines, RF fingerprinting for counterfeit device detection, and non-destructive PCB measurement techniques. She has pioneered methodologies for improving FDTD simulations in spherical and cartesian grids, addressing challenges in numerical dispersion and boundary conditions. Her work bridges theoretical electromagnetics with practical applications like electromagnetic compatibility and power integrity. Recent publications highlight trends in high-speed data transmission, novel measurement techniques, and computational efficiency in electromagnetic simulations. Her contributions have advanced both academic and industrial applications in RF systems and high-frequency circuit design. She actively engages in educational outreach and pedagogical innovation through her role as Associate Chair. Melinda’s lab (ECEE 189) focuses on experimental validation of theoretical models, emphasizing collaboration between simulation and measurement techniques. Her work has been supported by industry partnerships and government grants, though specific funding details are not specified here.

• Condensed Matter Physics
• Quantum Physics
• Topological Materials
• +۳ مورد دیگر

Dr. Subhajit Sinha is a Researcher at the Institute of Photonic Sciences (ICFO) within the Quantum Nano-Optoelectronics research group. He holds a PhD in Physics from the Tata Institute of Fundamental Research (India). His research focuses on moiré materials, topological phases in twisted 2D heterostructures, and quantum phenomena in graphene systems. Key areas include Berry curvature dynamics, topological transitions, and electronic properties of magic-angle twisted bilayer/trilayer graphene. Education: PhD in Physics (Tata Institute of Fundamental Research, India). Research interests emphasize theoretical and computational studies of moiré physics, Chern insulators, and tunable electronic phases in twisted heterostructures. He explores phenomena like Berry curvature dipoles, magnetic ordering, and electric field-driven transitions in layered materials. His work combines condensed matter theory with advanced numerical simulations to probe topological and electronic properties of 2D systems. Publications highlight advancements in understanding topological phase transitions, anomalous Hall effects, and nonlinear transport mechanisms in moiré superlattices. His studies often relate to experimental efforts in twistronics and correlated electron systems. Lab affiliation: Quantum Nano-Optoelectronics Group at ICFO, focusing on quantum materials and optoelectronic interfaces.

• Computer Vision
• Neural Networks
• Pattern Recognition
• +۳ مورد دیگر

Nikolaos Vassilas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica, Greece, with leadership roles including Director of the Intelligent Knowledge, Image & Information Systems research Laboratory (ISLab) since 2019 and former Director of the Joint Greek-French Master Degree Program (2016-2020). His academic journey includes research positions at NCSR "Demokritos" and EPFL. His educational credentials feature a Diploma in Electrical Engineering from Aristotle University of Thessaloniki (1983), and M.S.E.E. and Ph.D. degrees from the University of Minnesota (1987, 1990). Professional affiliations include IEEE Computational Intelligence Society, Hellenic Society of Artificial Intelligence, and Greek Computer Society. Professor Vassilas' research centers on Computer Vision and Neural Networks with applications in urban analysis and remote sensing. His work integrates deep learning for building extraction from aerial/LiDAR data, semantic modeling in 3D urban environments, and neural network-based environmental prediction systems. Key methodological focuses include mean-shift algorithms, Hough transforms, and multisource spatial data fusion. Analysis of his recent publications reveals consistent specialization in computer vision techniques for urban infrastructure analysis, particularly building contour detection and 3D reconstruction using convolutional neural networks. The integration of aerial imagery with elevation data and robust line detection algorithms represents a dominant research trajectory across his 70+ publications. No scientific awards were documented in the source materials. He has coordinated two European Union co-funded research programs and participated in multiple national projects, with expertise in environmental data processing and intelligent spatial analysis systems. His leadership extends to directing research laboratories and international academic programs, demonstrating significant grant management experience. Professor Vassilas leads the Intelligent Knowledge, Image & Information Systems research Laboratory (ISLab), which focuses on advancing computer vision techniques for urban planning and environmental monitoring applications through interdisciplinary team collaboration.

• Antenna Design
• Microwave Engineering
• Electromagnetic Theory
• +۳ مورد دیگر

Chunxu Mao is a Senior Research Fellow at the University of Surrey, specializing in antenna design and microwave engineering. His work focuses on reconfigurable antennas, millimeter-wave applications, and wearable technology. Key research areas include polarization control, wideband systems, and beam-scanning antennas for 5G and IoT applications. Collaborations span institutions globally, with a strong emphasis on practical implementations for wireless communication systems. Education: Not explicitly stated in provided texts. Affiliations: University of Surrey (Senior Research Fellow). Key Projects: Development of leaky-wave antennas, dual-polarized systems, and textile-based wearable antennas. Research Interests: Antenna reconfiguration, metamaterials, filtering antennas, and miniaturized designs for 5G, UAVs, and vehicular systems. His work addresses challenges in bandwidth enhancement, radiation pattern control, and low-profile implementations through innovative structural designs and simulation techniques. Publications: Over 20 peer-reviewed articles in top journals like IEEE Transactions on Antennas and Propagation, focusing on antenna array design, polarization engineering, and millimeter-wave systems. Recent contributions include quad-beam leaky-wave antennas and compact dual-band filtennas for vehicle applications. Labs/Teams: Collaborates with interdisciplinary teams on advanced antenna systems for wearable devices, satellite communication, and IoT infrastructure.

Ramesh Sitaramanمشاهده پروفایل

استاد

• Networking and Distributed Systems
• Theoretical Computer Science
• Internet-scale Systems
• +۵ مورد دیگر

Ramesh Sitaraman is a Distinguished Professor and Associate Dean for Educational Programs and Teaching at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He is a world-renowned expert in Internet-scale distributed systems and content delivery networks (CDNs). His contributions include pioneering the first major CDN (Akamai) and foundational work in edge computing and video streaming technologies. He holds part-time roles as Akamai’s Chief Consulting Scientist and directs the Laboratory for Internet-Scale Distributed Systems (LIDS). Education: PhD in Computer Science, Princeton University B.Tech. in Electrical Engineering, Indian Institute of Technology, Madras Research Interests: His work spans distributed systems, networking, energy efficiency, and sustainable computing. Key areas include: CDNs and edge computing architectures Adaptive bitrate algorithms (e.g., BOLA) Energy-aware systems and decarbonization Algorithmic design for scalability Awards and Honors: AAAS Fellow (2023) IEEE William R. Bennett Prize (2023) ACM SIGCOMM Networking Systems Award (2018) ACM and IEEE Fellowships (2019) University Distinguished Teaching Award (2020) Teaching and Leadership: As founding director of the Informatics Program, he bridges computer science with interdisciplinary fields. He has received top teaching awards and advocates for curiosity-driven research and broad undergraduate education. Labs and Initiatives: Directs LIDS and collaborates with the Center for Data Science. Research focuses on sustainable internet infrastructure and next-generation distributed systems.

• Antenna Design
• 5G Technology
• Microwave Engineering
• +۳ مورد دیگر

Long Qian is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on advanced antenna technologies, particularly for 5G and beyond communication systems. He specializes in compact, high-performance antenna designs including metasurface antennas, MIMO systems, and beamforming techniques. Research interests include antenna miniaturization, broadband operation, polarization diversity, and integration with modern communication devices. His work addresses challenges in 5G terminal applications, space-based solar power transmission, and wireless infrastructure optimization. Recent publications (2019-2024) highlight innovations in low-profile antennas, multi-mode operations, and interference mitigation strategies. These contributions advance antenna efficiency, bandwidth, and compatibility with emerging wireless standards. No scientific awards or grants are explicitly mentioned in the provided information. His current affiliation involves collaboration with the School's research groups in electronic engineering and computer science.

• Semiconductor Materials
• Optoelectronics
• Light-Emitting Diodes (LEDs)
• +۳ مورد دیگر

Dr. Suneal Ghataora is a Researcher at the University of Sheffield's School of Electrical and Electronic Engineering, affiliated with the Semiconductor Materials and Devices Research Group. His work focuses on III-Nitride nano-structured optoelectronic devices, particularly in visible light communications (VLC) and semiconductor materials. He specializes in semipolar InGaN/GaN LEDs, hybrid organic/inorganic systems, and advanced fabrication techniques for high-performance light-emitting diodes (LEDs). Research Interests: Dr. Ghataora’s research spans semiconductor materials science, optoelectronics, and nano-photonics. His projects emphasize developing high-efficiency LEDs for VLC applications, exploring modulation bandwidth enhancements, and optimizing optical polarization properties of semipolar materials. He also investigates Förster resonance energy transfer (FRET) mechanisms in hybrid organic/inorganic systems to achieve efficient white light emission. Publications: Recent work includes studies on luminescence decay dynamics for VLC systems (2022), high-speed data transmission via long-wavelength semipolar LEDs (2021), and polarization properties of InGaN LEDs (2020). Earlier contributions addressed hybrid LED fabrication (2019) and grating structures for polarized white light (2017). Awards and Grants: No scientific awards or grants are explicitly listed in the provided text. Advising and Labs: The text does not specify advisees. His research is conducted within the Semiconductor Materials and Devices Research Group, focusing on III-Nitride nano-lasers and optoelectronic device characterization.

Kaiquan Wuمشاهده پروفایل

پژوهشگر

• Digital Signal Processing
• Fiber-Optic Communication Systems
• Error Correction Codes
• +۳ مورد دیگر

Kaiquan Wu is a doctoral candidate and postdoc researcher at Eindhoven University of Technology (TU/e), Netherlands, specializing in digital signal processing for fiber-optic communication systems. His research focuses on error correction codes, coded modulation, and channel modeling. PhD Candidate in Electrical Engineering (Signal Processing Systems) Postdoc in Electrical Engineering (ICT Lab) Member of the ICONIC , BIT-FREE , and DIGI-OPT research projects Research interests include combating signal impairments in optical systems through advanced DSP techniques, such as decision feedback equalizers (DFE), geometric shaping, and low-complexity detection algorithms. He has published extensively on FSO systems, IM-DD links, and energy dispersion analysis. Collaborations involve developing simplified FSO channel models, low-complexity architectures for data center applications, and patent innovations in amplitude shaping methods. His work contributes to increasing the capacity of optical communication systems while reducing complexity and error rates.

Lieven Eeckhoutمشاهده پروفایل

استاد

• Computer Architecture
• Performance Evaluation
• Performance Modeling
• +۴ مورد دیگر

Lieven Eeckhout is a Professor at Ghent University, Belgium, in the Department of Electronics and Information Systems (ELIS), where he leads the PerformanceLab research group. His work spans computer architecture, performance evaluation and modeling, workload characterization, dynamic resource management, CPU/GPU microarchitecture, and sustainability. He has supervised a dozen PhD students and postdocs, with alumni now in academia (e.g., assistant professors at TU Eindhoven, ANU) and industry (e.g., Intel, Huawei). Education : PhD in Computer Science (Ghent University, 2002) Awards : ACM Fellow (2021), IEEE Fellow (2018), 2017 ACM SIGARCH Maurice Wilkes Award, 2017 OOPSLA Most Influential Paper Award, 2024 IEEE CAL Best Paper Award, Distinguished Artifact Evaluation Award at ASPLOS 2024, and multiple Hall of Fame/Top Pick recognitions. Research focuses on computer architecture and hardware/software interface , with recent emphasis on sustainability and processor design . Key projects include the Sniper multi-core simulator and ERC-funded initiatives like LSC (Load Slice Core) and DPMP (Dependable Performance Management). Articles highlight trends in GPU memory systems , vector runahead , and carbon-aware architectural models . Scientific honors include 2024 IEEE CAL Best Paper Award Distinguished Artifact Evaluation at ASPLOS 2024 IEEE/ACM MICRO 2023 Best Paper Award ISCA@50 25-Year Retrospective Selection ACM Fellow (2021) IEEE Fellow (2018) Maurice Wilkes Award (2017) IBM Belgium Prize for Informatics (2003) As a research advisor , he has mentored numerous PhD students, including Benyamin Eslami, Jaime Roelandts, and Hossein SeyyedAghaei. His grants include ERC Starting (2011-2017) and Advanced Grants (2018-2023). The PerformanceLab group explores topics like multi-core simulation , GPU architecture , and energy-proportional systems , with collaborations across institutions (e.g., TU Eindhoven, Intel, ANU).

Monica D. Kohlerمشاهده پروفایل

استاد پژوهشی

• Earthquake Engineering
• Seismology
• Structural Health Monitoring
• +۳ مورد دیگر

Monica D. Kohler is a Research Professor of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). She holds a Ph.D. in Civil Engineering from Caltech (1995) and an A.B. in Physics from Harvard University (1988). Her career includes roles as Assistant Research Engineer at UCLA (1998-2011), Visiting Associate at Caltech (2007-11), and Research Assistant Professor at Caltech (2011-17). Research Interests: Dr. Kohler's work bridges earthquake engineering and observational seismology. She develops methods to detect structural damage using seismic arrays, applies tomographic inversion to study urban ground motion, and investigates wave propagation in buildings and geological systems. Her research leverages IoT sensor networks and real-time data for city-scale seismic monitoring. Article Trends: Her recent publications focus on structural health monitoring of high-rises via coda wave interferometry, community seismic networks for urban resilience, and subduction zone dynamics. Key subfields include nonlinear damage identification, tsunami wavefront mapping, and edge computing applications for seismic data. Students & Collaborations: She supervises graduate students at UCLA (Viviana Vela, Gloria Hyun, Esra Zengin) and collaborates with institutions like Caltech, UCLA, and IRIS. Her projects include the Community Seismic Network (CSN) and ShakeAlert earthquake early warning system. Contact: Office at 318 Gates-Thomas Laboratory, Caltech. Email: kohler@caltech.edu .

Geza Joosمشاهده پروفایل

استاد

• Power Engineering
• Renewable Energy Integration
• Smart Grid Technology
• +۴ مورد دیگر

Geza Joos is a Professor at McGill University, holding dual Canada Research Chairs in Powering Information Technologies and NSERC/Hydro-Québec Industrial Research Chair on Renewable Energy Integration. His research focuses on power systems, smart grids, microgrids, and distributed energy resources, with emphasis on energy storage, electric vehicle infrastructure, and grid resilience. He leads projects on microgrid control systems, V2G technology, and grid integration of renewables. His work combines advanced control strategies, data-driven methods, and hardware-in-loop testing. Key achievements include pioneering work on cold load pickup management and DER aggregation for grid services. Dr. Joos has published extensively on topics like microgrid dispatch algorithms, machine learning for stability assessment, and cybersecurity in power systems. His research addresses both technical challenges and operational standards for modern grid infrastructure.