جستجوی استاد راهنمای دانشگاهی

Professor Amin Abbosh is a faculty member at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on Medical Microwave Imaging and Millimeter-wave Engineering, with contributions to advanced imaging systems, antenna design, and communication technologies. He leads projects in electromagnetic medical sensing, including portable brain scanners and wearable diagnostic systems. His work integrates applied electromagnetics with AI-driven algorithms, addressing challenges in stroke detection, liver health monitoring, and deep vein thrombosis diagnosis. With over 16 patents and collaborations across biomedical and engineering domains, his research bridges clinical needs with cutting-edge electromagnetic techniques. Key projects include the development of low-cost healthcare monitoring systems and reconfigurable antennas for satellite communications. Research interests span medical imaging systems, antenna array design, and signal processing for healthcare applications. His team innovates in areas like phased arrays, dielectric property analysis, and non-invasive diagnostics. Recent advancements include synthetic microwave focusing techniques and self-supervised deep learning models for clutter removal in imaging. Publications highlight contributions in IEEE journals and conferences, emphasizing clinical applications and device prototyping. Collaborations with institutions like the University of Queensland’s medical faculty and industry partners ensure practical implementation of his research.

• Medical Microwave Imaging
• Microwave Engineering
• Millimeter-wave Engineering
• +۳ مورد دیگر

Dr. Amin Darvazehban is an Adjunct Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on electromagnetic antenna design for biomedical imaging systems, particularly targeting torso and liver diagnostics. Key Research Areas: Medical microwave imaging systems Metasurface and reconfigurable antenna technologies Dielectric property analysis for diagnostics Biomedical electromagnetic sensors Quantum signal processing applications Publication Trends: Recent work highlights electromagnetic solutions for non-invasive steatotic liver detection, torso imaging optimization, and metasurface-based antenna systems. His articles span IEEE journals in Antennas, Microwaves in Medicine, and Biosensors. Education: Completed his PhD thesis in 2021 on 'Reconfigurable antennas for electromagnetic torso imaging' at the School of Information Technology and Electrical Engineering, The University of Queensland. Patent: Co-inventor of an apparatus for electromagnetic characterization of internal features (US20230228917A1, 2023).

• Electromagnetic Antenna Design
• Medical Imaging
• Microwave Engineering
• +۵ مورد دیگر

Dr. Francisco Tovar Lopez is a Lecturer at the School of Engineering, RMIT University. He holds a B.Eng in Mechanical Engineering from UNAM and a PhD in Biomedical Engineering from RMIT. His research focuses on advancing biomedical technologies through microfluidics, nanotechnology, and computational modeling. He has pioneered projects in artificial organs, blood clot detection systems, and lab-on-a-chip platforms. Dr. Tovar has secured notable awards including the ARC-DECRA fellowship and Mexico’s SNI-I recognition. His work bridges mechanical engineering with healthcare applications, emphasizing fluid dynamics and biomaterials. Education B.Eng in Mechanical Engineering (UNAM) PhD in Biomedical Engineering (RMIT University) Research Interests Lab-on-a-Chip technologies Micro/nanofabrication Blood flow dynamics and thrombosis Portable diagnostic systems Medical sensor development Recent Article Trends His 2023 work emphasizes ECMO oxygenator thrombosis detection and environmental sensor applications, reflecting growing focus on translational biomedical engineering. Key themes include microfluidic platforms for hematology and integration of nanoscale sensors. Awards DECRA-ARC Fellow (2012) VC Research Fellow (2012) National Research System Level 1 (Mexico, 2014) Advising Open to PhD supervision in areas like real-time medicine and lab-on-a-chip cancer detection. Active in industry collaborations through projects like Vitalmex Innovamedica.

• Biomedical Engineering
• Mechanical Engineering
• Nanotechnology
• +۷ مورد دیگر

Dr. Fei Xue is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. Her research focuses on integrating machine learning with medical imaging technologies, particularly microwave imaging modalities. She holds a Bachelor's degree from Hebei University of Technology, a Master's degree from Hebei Polytechnic University, and a PhD from The University of Queensland. Current research interests include: Deep learning applications in medical imaging Electromagnetic image reconstruction Development of advanced loss functions for microwave imaging Transfer learning techniques in biomedical signal processing Utilization of large databases for training universal neural networks Her recent work explores cascaded convolutional neural networks and attention-based architectures for improved medical imaging. Earlier research focused on materials science topics including: Ti (C, N) precipitation in enamel steels Hydrogen embrittlement effects in TWIP steel Temperature measurement systems using CCD and MATLAB

• Machine Learning
• Medical Imaging
• Electromagnetic Imaging
• +۳ مورد دیگر

Dr. Graham Brooker is a Senior Lecturer at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering since 1999. He holds a PhD (2005) and degrees from the University of the Witwatersrand. Research Interests: Focuses on radar systems for autonomous navigation, rehabilitation engineering (dementia/Parkinson's), medical robotics (birth simulators), and millimeter-wave imaging. His work improves safety in mining/military environments and quality of life through assistive technologies. Recent Projects: Includes radar-acoustic interactions, entomological harmonic radar, dental robotics, cervical tissue modeling, and force analysis during childbirth. Active in developing low-cost radar solutions for road vehicles and microwave weed killing systems. Awards: Notable recognitions include 2010 AMME Teaching Award, 2012 Faculty Teaching Award, and top-tier conference paper prizes. Holds patents and has authored multiple textbooks like Introduction to Biomechatronics (2012) and Sensors for Ranging and Imaging (2022).

• Radar Systems Engineering
• Biomedical Engineering
• Rehabilitation Engineering
• +۷ مورد دیگر

Associate Professor Mikhail Lapine is affiliated with the School of Mathematical and Physical Sciences at the University of Technology Sydney (UTS). He holds a PhD (summa cum laude) from Osnabrück University (2004) and has postdoctoral experience at institutions including Helsinki University of Technology, University of Sevilla, Australian National University, and ITMO University. His research focuses on metamaterials, nonlinear optics, plasmonics, and nanotechnology, with applications in photonics and biomedical imaging. Education: PhD in Physics, University of Osnabrück, Germany (2001–2004) Postdoctoral Research: Radio Laboratory (Helsinki), Dept. Electronics and Electromagnetics (Sevilla), Nonlinear Physics Centre (ANU), and others Research Interests: Dr. Lapine specializes in metamaterial design, nonlinear phenomena in structured materials, and plasmonic nanostructures. His work explores applications such as tunable metasurfaces for magnetic resonance imaging (MRI), laser-printed nanoantennas, and quantum dot emission control. His contributions bridge theoretical modeling and experimental fabrication, emphasizing interdisciplinary approaches. Editorial Roles: Editor of Metamaterials (2007–2012) Editor of Photonics and Nanostructures (2012–2023) Associate Editor of Scientific Reports (2013–present) Teaching & Supervision: He teaches Advanced Mechanics and Linear Algebra at UTS and supervises PhD/Masters students in metamaterials and photonics. His courses emphasize both theoretical foundations and practical applications. Labs & Collaborations: Active in the CUDOS research group and collaborates internationally on projects involving metamaterials and nanotechnology. His work often intersects with biomedical and optical engineering fields.

• Metamaterials
• Photonics
• Nonlinear Optics
• +۳ مورد دیگر

Dr Alina Bialkowski is a Senior Lecturer at the School of Electrical Engineering and Computer Science , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland. Her research focuses on interpretable machine learning and computer vision to enhance AI transparency and solve real-world challenges. Prior to joining UQ in late 2017, she held postdoctoral positions at University College London (2015–2017), where she studied human perception in driving, and Disney Research Pittsburgh (2014), analyzing team sports using spatiotemporal data. Dr Bialkowski earned her PhD and Bachelor of Engineering (Electrical Engineering) from Queensland University of Technology, Australia. Her doctoral research centered on group behavior analysis from visual and spatiotemporal data, with applications in sports analytics and intelligent surveillance systems. Her research interests span medical imaging (especially electromagnetic imaging of strokes), human attention modeling in driving, intelligent transport systems , surveillance systems , and sports analytics . She emphasizes explainable AI to bridge the gap between technical systems and human understanding, employing methods like feature visualization and attribution. Her work also explores sensors for non-invasive imaging and machine learning frameworks to ensure ethical AI. Dr Bialkowski has received significant recognition, including the Best Paper Prize at the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) . Her research has led to 6 international patents with collaborators such as Disney Research, Toyota Motor Europe, and The University of Queensland, focusing on electromagnetic imaging and AI-driven solutions. She actively contributes to interdisciplinary projects like The Lanyard Project (traffic sensor fusion) and co-authored a SmartSat CRC-funded research report on machine learning for satellites. Dr Bialkowski is available for supervision and advocates for AI systems that integrate human-centric principles into their design and evaluation.

• Medical Imaging
• Biomedical Engineering
• Computer Vision
• +۶ مورد دیگر

Dr. Md Rokunuzzaman Robel is a Research Fellow at the School of Engineering, RMIT University, specializing in the Department of Electrical and Computer Engineering. His research focuses on antenna design for biomedical applications, metamaterials, wireless power transfer, and novel materials for wearable devices. He holds an ORCID identifier (0000-0001-9715-4652) and is actively supervising PhD/Masters projects in flexible wearable communications and bio-sensor technologies. Research interests include communications technologies, biomedical engineering, and advanced antenna systems. Recent projects involve metamaterial-based antennas for IoT, wearable bio-sensors, and flexible circuits. His work bridges electrical engineering with medical applications, emphasizing practical implementations in healthcare and wireless systems. Supervision includes projects like 'Transparent electronic patches: Wearable oxide-based bio-sensors' and 'Flexible and Wearable Communications Devices.' No scientific awards are explicitly mentioned in available records. His research outputs span antennas for medical diagnosis, RFID technologies, and metamaterial innovations, published in journals like IEEE Transactions and Advanced Intelligent Systems.

• Antenna Design for Microwave Biomedical Applications
• Microstrip Antennas and Arrays
• Conformal and Embedded Antennas
• +۵ 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.

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

Associate Professor Rifai Chai is a faculty member in the Department of Biomedical Engineering at the School of Engineering, Swinburne University of Technology. He serves as the Academic Director (Partnerships), reflecting his leadership in academic-industry collaboration. His research focuses on the intersection of biomedical engineering and artificial intelligence, with applications in brain-computer interfaces, medical technologies, robotics, and embedded systems. University: Swinburne University of Technology School: School of Engineering Department: Biomedical Engineering Position: Associate Professor Email: rchai@swin.edu.au His educational and professional background includes over a decade of experience in product development in hardware, firmware, and software design in Indonesia and Australia from 2000 to 2011. His research interests are extensive and include: Artificial Intelligence and Machine Learning Brain-Computer Interfaces Medical Device Design Assistive Technology (e.g., smart wheelchairs, exoskeletons) Cognitive Fatigue and Workload Monitoring Back Pain Assessment and Rehabilitation Embedded Systems EEG and Physiological Signal Processing Rifai Chai's recent publications demonstrate a strong focus on AI-driven healthcare solutions. His work spans advanced computational intelligence in medical imaging (e.g., lung cancer and thyroid cancer detection), EEG-based systems for driver fatigue and emotion classification, rehabilitation technologies using exoskeletons, and cybersecurity in industrial IoT. He employs deep learning, hybrid models (e.g., MLP-BiLSTM), and advanced signal processing techniques to solve real-world biomedical problems. His research consistently targets practical, non-invasive, and real-time applications in clinical and industrial settings. His scientific contributions include numerous high-impact publications in journals such as IEEE Access, Sensors, and Medical & Biological Engineering & Computing, as well as book chapters with Elsevier and Springer. He has secured multiple research grants from industry partners and the Australian Research Council, supporting projects in breast electromagnetic scanning, solar-powered charging poles, and haptically-enabled motion simulation. Rifai Chai actively supervises PhD and Master’s students, with current HDR projects covering areas such as brain-computer interfaces for prosthetics, cognitive workload monitoring, distracted driving detection, and AI in medical imaging. He leads a multidisciplinary research team working at the forefront of biomedical innovation. His lab integrates AI, robotics, and physiological sensing to develop technologies that improve health outcomes and human performance.

• Biomedical Engineering
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Dr Ralf Mouthaan is a Postdoctoral Researcher at the University of Adelaide, affiliated with the School of Biological Sciences within the Faculty of Sciences, Engineering and Technology. He is part of the Centre for Light for Life, where he applies advanced optical techniques to biological problems. His educational background includes an MSci in Physics from the University of Nottingham (2008), an MRes in Sensor Technologies, and a PhD from the University of Cambridge. His doctoral research focused on holographic control of light propagation in specialized optical fibers, enabling applications in imaging, sensing, and optical manipulation. Former research scientist at the UK’s National Physical Laboratory, specializing in RF & microwave standards and electromagnetic safety metrology Expertise in wavefront shaping, holography, and optical fiber systems Current work bridges physics and biology, aiming to develop novel biophotonic tools Dr Mouthaan is eligible to co-supervise Masters and PhD students. His research integrates photonics with life sciences, contributing to interdisciplinary innovation in medical and biological imaging technologies.

• Optical Physics
• Photonics
• Wavefront Shaping
• +۹ مورد دیگر

Paul Stanwix is Associate Professor in the School of Engineering at the University of Western Australia, with joint appointments in Mechanical and Chemical Engineering. His research develops novel sensing technologies for fluid mixtures in energy applications, particularly hydrogen, natural gas, and cryogenic systems. Research focuses on: Hydrogen liquefaction and ortho-para conversion Microwave and NMR sensing technologies Thermophysical property measurement Gas hydrate formation and flow assurance Cryogenic fluid behavior Recent publications feature advanced sensor designs for industrial applications, including hydrogen purity monitoring and multiphase flow measurement. Research integrates experimental techniques with thermodynamic modeling. Significant recognition includes: WA Innovator of the Year Finalist (2019) ARC Discovery Early Career Award (2014) National Measurement Institute Prize (2008) Stanwix co-founded Jovian Tech commercializing hydrogen sensors and holds multiple patents. Current projects include developing hand-held skin cancer probes and optimizing hydrogen liquefaction processes.

• Hydrogen Energy
• Thermodynamic Properties
• Fluid Measurement
• +۲ مورد دیگر

Hadi Mousavi is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on advanced antenna design for medical imaging applications, particularly in electromagnetic torso imaging systems. He holds a PhD in Electrical Engineering (2025) from the same institution, where his thesis addressed compact wideband antenna solutions for enhanced medical diagnostics. Key research interests include: Antenna optimization for deep torso imaging Substrate integrated waveguide (SIW) antennas Dual-polarized and circularly polarized antenna systems Wideband performance enhancement Medical imaging system integration Microwave filter design His recent work (2023-2025) emphasizes compact, high-performance antennas with applications in biomedical diagnostics. Notable contributions include SIW cavity-backed antennas, tapered graded index lens antennas, and dual-sense circularly polarized designs. Articles frequently address challenges like penetration depth, bandwidth optimization, and polarization control in medical imaging contexts. Collaborations involve co-authors from leading institutions, focusing on antenna modeling, electromagnetic simulations, and experimental validation. Current research trends emphasize reconfigurable antennas and integration with clinical imaging systems. No scientific awards are explicitly mentioned in the provided materials.

• Antenna Design
• Medical Imaging
• Electromagnetic Systems
• +۳ مورد دیگر

Aleksandar Rakic is a Professor in the School of Electrical Engineering and Computer Science at The University of Queensland. He serves as the Associate Dean (External Engagement) in the Faculty of Engineering, Architecture, and Information Technology. His research focuses on photonics and microwave engineering, with expertise in laser feedback interferometry, terahertz technology, and optoelectronic devices. Rakic leads the Photonics and Microwave Engineering group, pioneering advancements in sensing and imaging systems across the electromagnetic spectrum. His core research areas include developing terahertz sensing systems for applications in security, defense, and biomedical imaging, as well as designing surface-emitting optoelectronic devices like VCSELs. Notable contributions include world-first laser-feedback interferometric sensors using quantum cascade lasers and mid-infrared interband cascade lasers. Rakic has authored over 200 publications, including book chapters and journal articles in high-impact venues like Physical Review A , Optics Express , and Nature Communications . His work bridges fundamental photonics research with applied technologies, such as non-destructive material analysis and biomedical diagnostics. Current projects emphasize terahertz imaging for in vivo biomedical applications and precision agriculture. His group collaborates with industry and academia on cutting-edge technologies, including THz nanoscopy for quantum device characterization and laser-based imaging systems for cultural heritage preservation. Despite prolific output, Rakic holds no explicitly stated scientific awards but is recognized for transformative contributions to terahertz sensing and photonics.

• Photonics
• Terahertz Technology
• Laser Feedback Interferometry
• +۴ مورد دیگر

Dr Duc Nguyen Minh is a Research Affiliate at the School of Biomedical Engineering, University of Sydney, specializing in biomedical engineering applications for cardiac diagnostics and interventions. His work bridges medical imaging and electrophysiology through advanced impedance-based technologies. His research centers on electrical impedance tomography (EIT) and bioimpedance for real-time cardiac monitoring, particularly in radiofrequency ablation procedures and pulmonary embolism assessment. He develops novel algorithms for image reconstruction, multi-band signal processing, and anatomical integration to enhance diagnostic accuracy in critical cardiac conditions. Publications from 2019-2022 reveal a cohesive trajectory in refining EIT for clinical cardiac applications, with emphasis on simulation validation, phantom modeling, and region-of-interest optimization. Key themes include real-time ablation tracking, pulmonary blockage assessment, and hardware-software co-design for medical devices. Dr Nguyen Minh holds two major 2023 grants: an NHMRC Development Grant for the Aurora Microwave Ablation System targeting ventricular arrhythmias, and a National Heart Foundation Postdoctoral Fellowship developing non-invasive methods to improve post-heart attack ventricular tachycardia ablation. These projects underscore his translational focus on cardiac electrophysiology interventions.

• Biomedical Engineering
• Medical Imaging
• Cardiac Electrophysiology
• +۳ مورد دیگر