جست‌وجوی استاد و پژوهشگر

• Physical geography
• Environmental geoscience
• Hydrology
• +۶ مورد دیگر

Professor Richard Forster from the University of Utah's School of Environment, Society & Sustainability is a leading expert in glaciology and remote sensing with ORCID 0000-0003-3945-5072. His research focuses on firn aquifers, cryospheric processes, and hydrological modeling through advanced geophysical techniques. Current position: Professor (2010-present) Previous academic positions: Assistant Professor (1999-2004), Associate Professor (2004-2010) at University of Utah Research interests include: Firn aquifer dynamics and ice sheet hydrology Remote sensing of snow and glacier systems Climate change impacts on cryospheric regions Hydrological modeling in extreme environments Recent publications demonstrate methodological innovations in SAR coherence analysis, firn aquifer characterization, and snowmelt progression mapping across Greenland, Antarctica, and the Indus Basin. His work integrates field measurements with advanced geophysical techniques. Scientific awards include: College Senior Superior Research Award (2012) Student Choice Teaching Award (2009) Professional activities feature service on NASA's Standing Review Board (2014-2016) and multiple NSF advisory roles (2008-2011). He has secured major grants from NASA and NSF for ice sheet monitoring and snow water equivalent estimation.

• Computational Imaging
• Cancer Systems Biology
• Machine Learning in Biomedicine
• +۵ مورد دیگر

Shikhar Uttam is an Assistant Professor at the University of Pittsburgh, specializing in computational imaging and optics with applications in cancer systems biology. His work bridges electrical engineering, biomedicine, and quantum information theory. He holds a Ph.D. in Electrical Engineering from the University of Arizona. Education : Ph.D. Electrical Engineering (Minor: Mathematics), University of Arizona, Tucson Research Interests : Computational imaging techniques for early cancer detection Multimodal imaging for tumor microenvironment analysis Machine learning in precision medicine Quantitative phase imaging for cancer prognosis Radar imaging and quantum information systems His research focuses on developing imaging modalities to address challenges in cancer epigenetics, immunotherapy response prediction, and early detection of neoplastic progression. Publications Trends : Recent work emphasizes nanoscale nuclear architecture mapping for cancer risk stratification, immune profiling in Lynch syndrome, and unsupervised machine learning for cell segmentation. His studies often integrate optical engineering with clinical oncology to create diagnostic tools for colorectal, pancreatic, and brain cancers. Grants & Labs : Operates a lab focused on computational systems biology and optical innovation. Research likely supported by grants in biomedical imaging and cancer research (details inferred).

• Electromagnetic Engineering
• Antenna Measurement
• Microwave Imaging
• +۳ مورد دیگر

Quanfeng Wang is a Researcher at the Technical University of Munich (TUM), affiliated with the Chair of High-Frequency Engineering under Prof. Dr.-Ing. Thomas Eibert. He holds an M.Sc. and contributes to the School of Computation, Information and Technology within the Department of Electrical Engineering. Research Interests : His work focuses on advanced topics in electromagnetic engineering, including antenna measurement techniques, microwave imaging, numerical modeling, and inverse methods. He explores applications in electromagnetic compatibility, material characterization, and radar-based localization systems. His research aligns with broader group initiatives such as UAV-based electromagnetic field measurements and hybrid numerical modeling approaches. Publications : Recent work emphasizes innovative solutions in geometry reconstruction using impedance matrices, microwave imaging of absorber materials in antenna chambers, and indoor localization via passive radar imaging. These studies reflect a strong emphasis on practical electromagnetic systems and their computational analysis. Labs & Teams : He is part of the High-Frequency Engineering group at TUM, which operates facilities for advanced electromagnetic research, including near-field antenna measurement systems and metamaterial investigations.

Ali Zamaniمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Imaging
• Antenna Design
• +۳ مورد دیگر

Dr. Ali Zamani is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on biomedical engineering, medical imaging, and electromagnetic systems. He holds a PhD in frequency-based microwave medical imaging from UQ (2018). His work combines antenna design, signal processing, and machine learning to develop innovative diagnostic tools for conditions like hepatic steatosis, stroke, and pulmonary edema. Key projects include the HepNet neural network for liver disease detection and a portable electromagnetic brain scanner for acute stroke diagnosis. Research interests span microwave medical imaging, wearable sensors, and electromagnetic tomography. His contributions include over 45 peer-reviewed publications and patents on medical imaging probes and systems. Collaborations involve interdisciplinary teams in biomedical engineering, electrical engineering, and clinical medicine. His recent publications highlight advancements in AI-driven diagnostics, non-invasive imaging techniques, and hardware innovations for clinical applications. He has pioneered electromagnetic systems for 3D head imaging and torso scanning, with emphasis on real-time and portable solutions.

• Quantum Technology Engineering
• Photonic Systems
• Ultra-Precision Machining
• +۴ مورد دیگر

Professor James C. Gates is a Professorial Fellow (Research) at the University of Southampton's Optoelectronics Research Centre (ORC), specializing in quantum technology engineering and photonic systems. With over 25 years of experience, he leads a research team developing proprietary fabrication techniques including flame hydrolysis glass deposition, air-bearing stabilised laser inscription, and ultra-precision milling. His research focuses on quantum technology manufacturing, particularly photonic and superconducting quantum computing hardware. Key areas include ultra-precision machining of optical structures for quantum systems, integrated photonics for quantum information processing, and non-linear optical devices for quantum applications. His work bridges fundamental research with industrial quantum technology manufacturing challenges. Quantum vacuum cell fabrication Photonic waveguide systems Ultra-precision diamond machining Quantum processor integration Optical manufacturing techniques Quantum sensing hardware His publication portfolio demonstrates significant contributions to quantum hardware manufacturing, with recent work emphasizing sapphire substrate machining for superconducting processors, UV generation in waveguides, and wafer-scale diamond grinding techniques. The research spans quantum computing, communications, and sensing applications. Vice Chancellor's Award (2012) Research group award: Highly Commended (2017) Professor Gates has secured over £100m in research funding as PI and Co-I, including EPSRC projects UPROAR and PURE. He leads the EPSRC Centre for Doctoral Training in Quantum Technology Engineering and serves as Co-I on the EPSRC Hub in Quantum Computing and Simulation. His team actively mentors PhD students and collaborates with defense and commercial partners on quantum technology development. His laboratory maintains a world-class suite of ultra-precision machining technologies, supporting both academic research and commercial quantum technology development. The team specializes in solving manufacturing challenges for quantum computing hardware, particularly in optical accessibility, vacuum integration, and cryogenic compatibility.

Ingrid Ullmannمشاهده پروفایل

پژوهشگر

• Radar imaging
• Radar signal processing
• Ultrasound imaging
• +۸ مورد دیگر

Ingrid Ullmann is a Researcher and Research Group Leader (Wave-Based Sensing Techniques) at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She holds a Dr.-Ing. (PhD) from FAU, awarded in 2021 for her thesis on 'Novel Concepts for Radar Imaging in Heterogeneous Media'. Her academic journey includes a 2016 M.Sc. in Electrical Engineering from the same institution. Her research focuses on radar imaging (millimeter-waves, terahertz), ultrasound imaging, non-destructive testing, and biomedical engineering applications. She leads two laboratories: the Radar Imaging Laboratory and the Medical Imaging Laboratory, advancing innovations in security screening, medical diagnostics, and automotive radar systems. Her work integrates machine learning with radar techniques to enhance imaging resolution and analysis efficiency. Ullmann’s publications (over 50 entries from 2017–2025) emphasize radar-based human motion tracking, material reconstruction, and UAV applications for environmental monitoring. Key trends include: 1) fusion of radar and ultrasound for enhanced visibility, 2) machine learning-driven signal processing in biomedical contexts, and 3) development of compact radar systems for space debris tracking and historical document analysis. She actively supervises student theses in radar imaging, medical engineering, and security systems. While no explicit awards are listed, her contributions to IEEE journals and conference proceedings highlight her technical leadership. Collaborations with Erlangen University Hospital and industry partners (e.g., Siemens) underscore her interdisciplinary reach.

• Dielectric Spectroscopy
• Electromagnetic Field Exposure
• Biomedical Engineering
• +۳ مورد دیگر

Emanuele Piuzzi is an Associate Professor in Electrical and Electronic Measurements at the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome. He holds an M.S. and Ph.D. in Electronic Engineering from Sapienza University, with a thesis on electromagnetic field exposure and a dissertation on human exposure to wireless telecommunication systems. His research focuses on dielectric spectroscopy, TDR applications, impedance pneumography, UWB radar for physiological monitoring, and electromagnetic field safety assessment. He is a reviewer for IEEE Transactions on Instrumentation and Measurement and a member of IEEE and the Italian Electrotechnical Committee. Teaching includes courses on 'Electrical Measurements' for Electronic and Biomedical Engineering students. Research interests span biomedical engineering, telecommunications, and medical imaging, with a strong emphasis on practical applications like non-invasive monitoring systems and material characterization. His work on radar systems for medical diagnostics and sensor networks for structural health monitoring demonstrates interdisciplinary innovation. Over 150 publications highlight contributions to electromagnetics, biomedical devices, and metrology.

Stefano Pisaمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Electromagnetics
• Medical Imaging
• +۷ مورد دیگر

Stefano Pisa is an Associate Professor at the Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome. He holds a Ph.D. in Electronic Engineering from the University of Rome 'La Sapienza' (1988). His career includes roles as a Researcher (1989) and Associate Professor (2001) at Sapienza. He has coordinated numerous international projects, including ESA, EDA, and EU initiatives, focusing on electromagnetic safety, biomedical radar systems, and microwave applications. Pisa has contributed to the ICNIRP's 'Statement on EMF-emitting New Technologies' (2008) and served on editorial boards and program committees. His research spans electromagnetic interactions with biological systems, microwave dosimetry, UWB radar, and antenna design. Teaching roles include RF Electronic Systems and Biomedical Instrumentation II for M.S. students. Education: B.E. and Ph.D. in Electronic Engineering from Sapienza University of Rome (1985, 1988). Research interests include numerical modeling of nerve stimulation, SAR evaluation in humans, UWB radar for medical monitoring, microwave amplifier design, and dielectric material characterization. Notable projects include developing through-the-wall radar imaging systems (U-VIEW, 2017–2020) and non-invasive EPR resonators. Pisa has advised on interdisciplinary teams and holds patents related to antenna systems. He collaborates with agencies like ASI and ESA on space-related technologies, such as CubeSat antennas and biomedical sensors for space environments. Grants and projects include leadership in EU-funded initiatives (e.g., INSPEX, MIRACLE), Italian national projects (PRIN), and ESA/ASI programs. His work bridges engineering and medicine, addressing challenges in health monitoring and electromagnetic safety standards.

Tao Guمشاهده پروفایل

استاد

• Internet of Things
• Ubiquitous Computing
• Mobile Computing
• +۳ مورد دیگر

Prof. Tao Gu is a Professor at the Department of Computing, Macquarie University, Sydney. He holds affiliations with the Future Communications Research Centre, Hearing Research Centre, and Smart Green Cities Research Centre. His research focuses on IoT, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics. He earned his Ph.D. in Computer Science from the National University of Singapore (2006), M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. Education: PhD (NUS), MSc (NTU), B.Eng (HUST) Affiliations: School of Computing, Macquarie University Research Themes: IoT, Embedded AI, Wireless Communication His research emphasizes innovative sensing and connectivity solutions. Notable projects include LoRa network optimization, mobile deep learning frameworks (MDLdroid), and acoustic-based health monitoring systems. He has received awards such as the IEEE SMARTCOMP 2016 Best Paper Award and the Ten Years CoMoRea Impact Paper Award at PerCom 2013. Current work explores secure device pairing, energy-efficient LoRa protocols, and multi-modal sensing using WiFi/RF signals. His lab develops systems like AudioGuard for intrusion detection and AIMSafe for driver behavior analysis. Ongoing projects address data-driven economies, hearing healthcare analytics, and non-intrusive human activity sensing.

Mehmet Orgunمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Image Processing
• Knowledge Discovery
• +۳ مورد دیگر

Mehmet Orgun is a Professor at the School of Computing, Macquarie University. He holds a BSc and MSc from Hacettepe University (Turkey) and a PhD from the University of Victoria (Canada). His research spans artificial intelligence, biomedical image processing, multi-agent systems, and secure systems. He has supervised over 30 PhD and master's students and led multiple ARC-funded projects totaling over $4M. His professional service includes roles at PRICAI 2010 and SIN 2019. Research Interests: Artificial Intelligence Quantum Cryptography Trusted Systems Medical Imaging Recommender Systems Awards: Best Student Runner Up Award (ADMA'23) Best Paper Award (MoMM2020) Best Student Paper Award (ICWS2016) Advising & Grants: 30+ PhD/Master's students ARC grants exceeding $4M Labs/Teams: Collaborations include Australian Taxation Office and DSTO. Projects focus on trust-oriented data analytics and secure systems.

Arumugam Nallanathanمشاهده پروفایل

استاد

• Wireless Communications
• Networking
• 6G Technology
• +۶ مورد دیگر

Arumugam Nallanathan is a Professor of Wireless Communications at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He leads the Communication Systems Research (CSR) Group and is a core member of the Centre for Networks, Communications and Systems. His research focuses on 6G technologies, AI-driven wireless systems, reconfigurable intelligent surfaces (RIS), UAV-enabled communications, ultra-reliable low-latency communications (URLLC), and IoT applications. He teaches the advanced 5G Mobile and Beyond module, integrating theoretical frameworks with practical implementations. Nallanathan's work bridges cutting-edge research with real-world challenges, emphasizing secure and energy-efficient communication systems. His recent publications explore topics such as IRS-based DOA estimation, covert communication techniques, and federated learning in edge networks. He actively contributes to the design of integrated sensing and communication systems, with applications in smart cities and beyond. His research group collaborates on grants addressing future network architectures and AI-enabled solutions. Research interests span: 6G systems, AI for communications, RIS optimization, UAV networks, URLLC protocols, and IoT security. His teaching emphasizes 5G fundamentals and emerging technologies. Notable contributions include advancements in STAR-RIS aided communication, multi-modal learning for satellite-ground networks, and secure resource allocation in NOMA systems. He leads projects on edge intelligence, digital twins for URLLC, and generative AI for channel estimation. The CSR Group actively engages in industry partnerships to translate research into practical solutions.

• Antenna Engineering
• 5G and mm-wave antennas
• Wearable and flexible antennas
• +۴ مورد دیگر

Syed Muzahir Abbas serves as an Adjunct Professor at Macquarie University's School of Engineering, specializing in advanced antenna systems and wireless technologies. His research bridges materials science and electrical engineering with a focus on practical applications in telecommunications and sensor networks. Dr. Abbas's primary research interests span antenna engineering with particular expertise in 5G/mm-wave antennas, wearable and flexible antenna systems, carbon nanotube and graphene applications, metamaterials, and IoT sensor technologies. His work consistently explores the intersection of novel materials and electromagnetic design to solve real-world communication challenges. Analysis of his recent publications reveals a strong trend toward practical applications of advanced materials in wireless systems, particularly focusing on flexible electronics for IoT applications, enhanced RFID technologies, and specialized antenna designs for satellite and body-area networks. His research demonstrates significant collaboration with industry partners and other academic institutions. Dr. Abbas actively supervises graduate research, inviting potential Masters and PhD students to contact him regarding research opportunities in antenna engineering and wireless communication systems.

Qingping Zouمشاهده پروفایل

استاد

• Physical Oceanography
• Coastal Engineering
• Environmental Fluid Mechanics
• +۷ مورد دیگر

Qingping Zou is a Professor of Coastal Dynamics at Heriot-Watt University, affiliated with The Lyell Centre for Earth and Marine Science and Technology and the Institute for Infrastructure and Environment within the Global Research Institutes. She holds a PhD from Scripps Institution of Oceanography (USA) and a B.S. from Nanjing University (China). Her research focuses on physical oceanography, coastal engineering, environmental fluid mechanics, and marine renewable energy, with emphasis on coastal resilience, sediment transport, and marine pollutants. She supervises PhD students and is actively involved in interdisciplinary projects aligning with UN Sustainable Development Goals. Education: Ph.D., Physical Oceanography, Scripps Institution of Oceanography, UC San Diego, USA B.S., Electric Engineering/Physics, Nanjing University, China Research Interests: Coastal flooding and climate adaptation Fluid-structure interactions and scour processes Nature-based solutions for coastal protection Transport of marine plastics and pollutants Wave-current-tide interactions Marine renewable energy systems Advising & Grants: Accepts CSC and self-funded PhD students in coastal dynamics, marine engineering, and environmental fluid mechanics. Prior roles include tenure at University of Plymouth (UK) and University of Maine (USA). Labs/Teams: Active at The Lyell Centre and collaborates internationally on coastal resilience and marine technology projects.

Emanuele Viterboمشاهده پروفایل

استاد

• Error Control Coding
• Communications
• Lattice Codes
• +۵ مورد دیگر

Professor Emanuele Viterbo is a faculty member in the Department of Electrical and Computer Systems Engineering at Monash University, where he has served as Professor since 2010 and Associate Dean (Graduate Research) from 2012 to 2020. His research focuses on error control coding, lattice codes, and algebraic coding theory with applications to wireless communications. He holds a PhD and Laurea in Electrical Engineering from Politecnico di Torino. Key research areas include lattice codes for fading channels, algebraic space-time coding (e.g., Golden Code), and OTFS modulation. He has received prestigious awards such as the IEEE Fellow designation (2011) and the Australia-India Fellowship (2012-13). His work on polar codes and coding for NAND flash memories has advanced practical coding schemes for modern communication systems. Major grants include projects on blockchain coding, high-mobility wireless systems, and NAND flash memory reliability. He has supervised numerous PhD students and contributed to foundational research in information theory. His affiliations include leadership roles in IEEE committees and visiting research positions at institutions worldwide. Scientific achievements include pioneering contributions to space-time coding and lattice-based modulation. Current projects explore OTFS modulation, error control for blockchains, and advanced modulation techniques for 5G/6G networks.

Sarah L Danceمشاهده پروفایل

استاد

• Data Assimilation
• Environmental Science
• Numerical Weather Prediction
• +۳ مورد دیگر

Professor Sarah L Dance is a Professor of Data Assimilation and EPSRC Senior Fellow in Digital Technology for Living With Environmental Change at the University of Reading's Department of Mathematics and Statistics, part of the School of Mathematical, Physical and Computational Sciences. She leads the Data Assimilation Research Centre (DARC) and focuses on advancing data assimilation techniques in weather forecasting, hydrology, and environmental monitoring. Her work integrates cutting-edge computational methods with real-world applications, particularly in improving flood prediction and soil moisture estimation through innovative modeling approaches. Her research interests span data assimilation algorithms, remote sensing applications, and numerical modeling of environmental systems. Recent work emphasizes the use of satellite data, radar observations, and deep learning for environmental monitoring and disaster management. She collaborates extensively with international institutions on projects like Hydro-JULES and the Transatlantic Data Science Academy, advancing both theoretical and applied aspects of environmental data science. Professor Dance has contributed to operational systems such as the Met Office's data assimilation frameworks and has pioneered methods to handle observation uncertainty in high-resolution models. Her projects often bridge academia and industry, addressing challenges in flood forecasting, climate modeling, and sensor data integration.