Delibra Giovanni is an Associate Professor at Sapienza University of Rome, specializing in aerodynamics, aeroacoustics, and renewable energy systems. His research focuses on optimizing turbomachinery performance, including axial fans, wind turbines, and hydrogen storage systems. He employs advanced computational fluid dynamics (CFD) and machine learning techniques to address challenges in renewable energy integration, thermal management, and noise reduction. Key research areas include: Wind energy systems and offshore wind farm design Hydrogen storage and safety in green energy applications Aeroacoustic control in industrial fans and turbines CFD-based optimization of heat exchangers and cooling systems Recent work emphasizes the integration of photovoltaic and biomass systems in renewable energy communities, as well as experimental validation of wave energy turbines. His publications highlight innovations in fan blade design, leakage modeling, and multi-objective optimization frameworks for sustainable energy infrastructure. Collaborations involve both academic institutions and industry partners, focusing on real-world applications such as tunnel ventilation systems and Mediterranean island energy solutions. Giovanni's contributions bridge theoretical modeling with practical engineering challenges in the transition to clean energy.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۳۱-۴۵ از ۱۶۳ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Jacob Taylorمشاهده پروفایل
استاد مدعو
Dr. Jacob Taylor is an Adjunct Professor at the University of Maryland and a Fellow at the Joint Quantum Institute (JQI) and the National Institute of Standards and Technology (NIST). His research focuses on quantum information science, dark matter detection, and the development of quantum sensors. Taylor leads the Taylor Research Group, which explores mechanical quantum sensing, quantum computing applications, and gravitational interactions. He has advised numerous graduate students, including Prabin Adhikari, Andrew Glaudell, and Haitan Xu, and collaborates with postdoctoral researchers such as Vanita Srinivasa and Minh Tran. His work spans theoretical and experimental domains, with notable contributions to dark matter detection methodologies, including proposals for ultraheavy dark matter searches using mechanical pendulums and optomechanical sensors. Taylor has also pioneered quantum computing automation techniques, leveraging machine learning to optimize quantum dot systems. His research has been recognized with prestigious awards, including the 2020 Department of Commerce Gold Medal for expanding U.S. leadership in quantum information science. In recent years, Taylor's team has published extensively on topics like backaction-evading receivers, cavity-mediated spin qubit entanglement, and pressure sensing via atomic collisions. These studies highlight his interdisciplinary approach, blending quantum mechanics, engineering, and computational methods. His laboratory work emphasizes both fundamental physics and practical applications, such as improving cryogenic systems for dark matter experiments like DarkSide-20k. Awards: Department of Commerce Gold Medal Award (2020) Grants and Funding: Supported by NIST and DOE projects in quantum sensing and dark matter detection Lab Affiliations: Taylor Research Group (JQI), QuICS (Quantum Information and Computer Science)
George Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on telecommunications, signal processing, and reconfigurable intelligent surfaces (RIS) for next-generation wireless networks. He has contributed to advancements in integrated sensing and communications (ISAC), 6G technologies, and holographic beamforming. His work includes experimental validation of RIS prototypes, optimization of RIS-assisted systems, and analysis of secure communication strategies. Research interests include RIS hardware design, channel modeling, and applications in IoT, UAV communications, and disaster recovery networks. He explores topics like energy-efficient RIS operation, multi-RIS coordination, and RIS-enabled localization. His studies often address challenges at sub-THz frequencies, mutual coupling effects, and hardware impairments. Publications emphasize practical implementations of RIS in both indoor and outdoor settings, with a focus on real-world performance evaluation. Awards and grants are not explicitly mentioned, but his extensive publication record indicates significant academic contributions. His research often integrates machine learning for RIS configuration and reinforcement learning for resource optimization in dynamic networks.
Hefeng Dong is a Professor in Acoustic Remote Sensing at the Department of Electronic Systems (IES) at NTNU since 2002. She leads the Acoustics Group and focuses on underwater acoustics, geoacoustic modeling, and marine environmental impact studies. Her research integrates signal processing, seismic inversion, and distributed sensing technologies. Education: BSc/MSc in Physics (Northeast Normal University, 1983/1986), PhD in Geoacoustics (Jilin University, 1994). She held positions at SINTEF Petroleum and conducted research visits at the University of Victoria (2008–2009) and University of Delaware (2014–2015). She is a member of IEEE and the Acoustical Society of America. Research interests span underwater acoustic communication, fiber-optic sensing for geophysics, and environmental monitoring. Recent work includes advancements in distributed acoustic sensing (DAS) for seabed monitoring and underwater localization using vector sensors. Her publications emphasize machine learning applications in geophysical data analysis and signal processing. Notable contributions include studies on shear wave velocity estimation via deep learning and the development of underwater communication protocols using fiber-optic cables. She has also explored the environmental impact of low-frequency sound on marine life, integrating acoustic measurements with ecological studies. Grants and collaborations include projects on quick clay monitoring and geophysical sensing technologies for energy applications. Her academic outreach includes hands-on acoustics training courses at NTNU and international conference participation.
Ryan Coreyمشاهده پروفایل
استادیار
Ryan Corey (he/him/his) is an Assistant Professor at the University of Illinois Chicago in the Department of Electrical and Computer Engineering, College of Engineering. His research focuses on audio and acoustic signal processing for human listening technologies such as hearing aids and augmented reality systems. Education: MS in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign (2014), BSE in Electrical Engineering from Princeton University (2012) Teaching: Co-instructor for TE 401: Develop Breakthrough Projects, ranked as excellent by students multiple times Corey's research explores signal processing algorithms that combine audio signals from distributed microphone arrays to isolate desired sounds from background noise. His work has potential applications in hearing devices that can enhance specific speaker voices in crowded environments. He also investigates innovative prototyping approaches using unconventional microphone placements on wearable devices. His recent publications focus on advanced beamforming techniques, adaptive filtering methods, and sensor network applications in audio processing. These include topics such as random projections in beamforming, neural adaptive filters, and sound field interpolation using acoustic sensor networks. Scientific Honors: Best Student Paper Award at WASPAA 2019 Intelligence Community Postdoctoral Fellowship (2019) Microsoft Research Dissertation Grant (2018) National Science Foundation Graduate Research Fellowship (2013) Corey leads the Listening Technology Lab and collaborates with Professor Andrew Singer in the Augmented Listening Laboratory. He has mentored students in developing innovative listening technologies, including prototypes for hearing aids with improved directional audio capabilities and devices that modify sound environments for better hearing experiences.
- Biosensors
- Nanotechnology
- Materials Science
- +۴ مورد دیگر
Prof. Vivek Pachauri holds the Chair of Materials for Electrical Engineering I at RWTH Aachen University, leading research at the Institute of Materials for Electrical Engineering. His work bridges materials science and bioelectronics, focusing on graphene-based transducers, silicon nanowires, and metal-organic frameworks (MOFs) for biosensing applications. University: RWTH Aachen University (Germany) Department: Materials for Electrical Engineering Academic Rank: Professor Email: pachauri@iwe1.rwth-aachen.de His research spans nanoscale sensor development , microfluidic platforms , and bioelectronic systems , with applications in disease detection, environmental monitoring, and cellular analysis. Recent work highlights programmable molecular amplification and multi-parametric point-of-care diagnostics. Key trends in his publications include: Advanced 2D materials (graphene oxide, MoS 2 ) Metal-organic frameworks for fluorescence sensing Microfluidic integration of biosensors Plasmonic and Fano resonance-based detection Low-cost cellular assays using organic electronics
Zapater Sancho Marina is an Associate Professor at the ReDS Institute (Institute of Reconfigurable and Embedded Digital Systems) within the School of Engineering and Management Vaud (HEIG-VD), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She holds dual master's degrees in Electronic and Telecommunication Engineering from Universitat Politècnica de Catalunya (2010) and a PhD in Computer Science from Universidad Politécnica de Madrid (2015). Her career includes postdoctoral work at EPFL (2016-2020) and assistant professorship at Universidad Complutense de Madrid (2015-2016). Education BSc & MSc in Electronic Engineering (UPC 2010) PhD in Computer Science (UPM 2015) Research Focus spans cross-layer optimization of heterogeneous architectures for performance and energy efficiency, with emphasis on: Embedded systems (IoT/edge computing) High-performance compute architectures Analog in-memory computing for AI Thermal/power management in 3D chips Cloud-edge AI workload orchestration Publication Trends show expertise in RISC-V simulation frameworks, analog computing tiles for CNNs, virtual memory redesign, and AI-driven cloud performance prediction. Her recent work explores thermal-aware 3D chip management, hybrid-cache reliability optimization, and open-source teaching platforms for radio theory. Awards include a Spanish government PhD fellowship. She has led 4 European H2020 projects since 2016 and currently serves as PI for 4 industrial collaborations (Facebook/Intel/Huawei), Innosuisse projects, and HES-SO initiatives. Labs & Teams include the ReDS Institute, EPFL's Embedded Systems Laboratory, and collaborations with Yale/Edinburgh. She co-developed the ALPINE simulation framework and SO3 operating system modifications for Midgard project validation.
Anthony R. Kerrمشاهده پروفایل
استاد مهمان
Anthony R. Kerr is a Visiting Professor in Electrical and Computer Engineering, affiliated with the National Radio Astronomy Observatory (NRAO) in Charlottesville, VA. His career spans over five decades, with foundational contributions to radio astronomy instrumentation and superconducting device technology. Dr. Kerr holds a Ph.D. from the University of Melbourne (1969). He has pioneered advancements in cryogenic parametric amplifiers, Schottky-diode mixers, and SIS (Superconductor-Insulator-Superconductor) mixers for millimeter/submillimeter wavelengths. His work at NASA/Goddard Space Flight Center and NRAO focused on low-noise receiver technology, culminating in breakthroughs for the Atacama Large Millimeter/submillimeter Array (ALMA). His research interests emphasize receiver sensitivity optimization , quantum-limited detection , and millimeter-wave instrumentation . Key innovations include wideband SIS mixers, cryogenic cooling systems, and standardized waveguide interfaces for submillimeter astronomy. Scientific Awards: 1978 IEEE Microwave Prize 1983 NASA Exceptional Engineering Achievement Medal Life Fellow of the IEEE Key Contributions: ALMA Band 6 receiver development (200+ GHz range) Experimental demonstrations of SIS mixer bandwidth expansion Advances in Nb/Al-AlOx/Nb junction fabrication His work underpins modern radio telescope arrays and continues to shape submillimeter-wave astrophysics instrumentation.
Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source
Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.
- Seismology
- Geophysics
- Earthquake Source Mechanics
- +۳ مورد دیگر
Zafeiria Roumelioti is an Assistant Professor at the Department of Geology, University of Patras. Her research focuses on seismology, geophysics, and earthquake engineering, with a strong emphasis on earthquake source mechanics, ground motion simulation, and seismic hazard assessment. She leads projects such as ARGONET and PROION, involving advanced geophysical instrumentation and multidisciplinary monitoring networks. Education: BSc in Geology MSc in Geophysics PhD in Seismology from Aristotle University of Thessaloniki Research Interests: Kinematic modeling of earthquake sources Site effect studies using vertical arrays Strong ground motion simulation (deterministic/stochastic) Real-time earthquake monitoring systems Nonlinear soil response during seismic events Regional seismicity and tectonic dynamics Her work integrates geophysical data from accelerometers, GNSS, and distributed sensors to improve earthquake early warning systems and infrastructure resilience. Key contributions include the ARGONET vertical array and PROION project’s multi-parametric monitoring framework.
Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.
Selin Aslanمشاهده پروفایل
استادیار
Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.
- Thermodynamics
- Cooling Technology
- Heat Pumps
- +۷ مورد دیگر
Irene Koronaki is a Professor at the National Technical University of Athens , affiliated with the School of Mechanical Engineering and the Thermal Engineering Section . She serves as Director of the Laboratory of Applied Thermodynamics, Cooling Technology & Refrigerated Vehicles since 2022 and has held academic roles at NTUA since 1999. Her research focuses include thermodynamics, heat pumps, energy efficiency, and renewable energy systems. Diploma in Mechanical Engineering, NTUA (1996) PhD in Thermal Engineering, NTUA (2000) Postdoctoral Researcher, NTUA (2002) Her research spans thermodynamics of cooling cycles, heat pumps, power cycles, energy saving in buildings, and thermal energy storage. She has pioneered work in nanofluids, solar cooling, and CO2 absorption systems. Her publications and projects reflect expertise in Stirling engines, hybrid solar collectors, and building energy optimization. Her recent articles highlight advancements in superfluid thermodynamics, solar PV/T systems, and medical robotics. Awards include the Edward F. Obert Award (2022) and leadership of the 2021 ASHRAE Student Design Competition winning team. She serves on ASME and ASHRAE committees and co-authored educational materials for refrigeration and energy inspection standards.
Benjamin Robinson is a Professor of Physics and Director of the Materials Science at Lancaster (MSL) research center. His work focuses on experimental quantum nanotechnology, particularly room-temperature quantum effects in ultra-thin films of organic molecules, quantum dots, and 2D materials. Education: PhD in Physical Chemistry, University of Wales (Supervisor: Prof. Geoff Ashwell) MPhys, Sheffield University Research Themes: Organic Electronics & Thermoelectrics Quantum Nanotechnology Scanning Probe Methodologies Biomaterials & Environmental Interactions Research Trends: Quantum interference scaling in molecular electronics Thermoelectric optimization via nanoscale characterization Graphene-molecular hybrid systems Self-assembly techniques for functional materials Interdisciplinary collaborations in synthesis, theory, and device physics Scientific Awards: Royal Society of Chemistry Philip Lynn Adams Memorial Prize Advising: Supervises 5 postgraduate students Projects in molecular electronics, thin-film thermoelectrics, and 3D molecular architectures Labs & Collaborations: Leads quantum nanotechnology group at Lancaster Collaborates with groups across UK (Cambridge, Imperial, Warwick) and globally Previously led work-packages in EU projects QUANTIHEAT and GRENADA