Find Academic Supervisors

• Medical ultrasound
• Image guided surgery
• Adaptive imaging
• +4 more

Gregg Trahey is the Robert Plonsey Distinguished Professor of Biomedical Engineering at Duke University, with additional appointments in Radiology. He leads pioneering research in medical ultrasound imaging and serves as a Bass Fellow, reflecting his significant contributions to both research and education. B.S. from University of Michigan, Ann Arbor (1975) M.S. from University of Michigan, Ann Arbor (1979) Ph.D. from Duke University (1985) Dr. Trahey's research focuses on medical ultrasound, image guided surgery, adaptive imaging, imaging of tissue's mechanical properties, and radiation force imaging . His laboratory develops and evaluates novel ultrasonic imaging methods with current projects involving high resolution imaging of the breast and mechanical characterization of both breast and cardiovascular systems. They conduct comprehensive testing through phantom models, animal trials, ex vivo experiments, and human clinical trials, with current clinical applications focusing on vascular plaque imaging and breast lesion characterization. Analysis of Dr. Trahey's recent publications (2022-2025) reveals a strong emphasis on spatial coherence techniques, adaptive ultrasound imaging systems, and quantitative tissue characterization. His work bridges engineering innovation with clinical applications, particularly in cardiac and breast imaging, with key themes including clutter reduction, real-time adaptive systems, and mechanical property assessment of tissues. Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2022 MERIT Award, National Institutes of Health, 2009 Fellows, American Institute for Medical and Biological Engineering, 1999 Dr. Trahey has taught courses including MEDPHY 738: Radiology in Practice, ECE 392: Projects in Electrical and Computer Engineering, and BME 848L: Radiology in Practice. His research is supported by significant funding, particularly from the National Institutes of Health as evidenced by his prestigious MERIT Award, which provides extended grant support to researchers with exceptional performance. Dr. Trahey leads an active research laboratory that conducts comprehensive studies from phantom development through clinical trials. His team collaborates extensively with clinicians for translational research applications, particularly in cardiology and radiology. Current projects focus on high-resolution imaging techniques, mechanical tissue characterization, and development of novel ultrasound methods for improved diagnostic capabilities while maintaining patient safety.

Matthew FrostView profile

Academic

• Transport Engineering
• Railway and Highway Engineering
• Geotechnical Engineering
• +4 more

Dr. Matthew Frost is a Reader in Geotechnical Engineering at Loughborough University, serving as Associate Dean for Education & Student Experience and Director of Undergraduate Studies. He holds multiple professional certifications including CEng, FICE, FPWI, and SFHEA. With over 25 years of experience, he focuses on geotechnical and transport engineering, emphasizing industry-relevant research and applied solutions. His work bridges academic research with practical applications in infrastructure resilience, sustainability, and railway/highway systems. Key research interests include transport infrastructure resilience to climate change, railway and highway material performance, non-destructive testing, and sustainable drainage systems. He has led over £1.5m in research grants, including projects like Futurenet (assessing UK transport network climate resilience) and HS2 earthworks performance assessment. Notable contributions include developing LCA frameworks for pavement materials and evaluating the Nottingham Workplace Parking Levy's impact on urban mobility. His publications span geotechnical testing methodologies, railway vibration analysis, and sustainable infrastructure design. He has supervised over 15 doctoral students and pioneered tools for infrastructure maintenance management. Awards include an ICE Journal Award for work on Futurenet climate resilience studies. Current projects include geotechnical performance monitoring for high-speed rail and innovative drainage solutions for sports facilities. Matthew Frost actively collaborates with industry partners such as Network Rail, HS2, and Balfour Beatty, ensuring research translates to real-world engineering solutions. His educational role emphasizes student experience innovation and curriculum development in civil engineering education.

Sean HumbertView profile

Professor

• Flight Dynamics and Control
• Bio-inspired Perception and Estimation
• Autonomous Robotics
• +5 more

J. Sean Humbert is a Professor at the University of Colorado Boulder, holding a courtesy appointment in the College of Engineering and Applied Science (AES). He serves as Director of the Robotics Program and Faculty Director for the Aerospace and Defense Western Colorado University Partnership Program. His research focuses on bio-inspired robotics, autonomous systems, and advanced control methodologies. Key research areas include flight dynamics, bio-inspired perception, micro-robotics, and soft robotics. He leads the Robotics and Systems Design group, affiliated with the Hypersonic Vehicles IRT. His work integrates bio-mimetic principles with engineering challenges, emphasizing robust control in unstructured environments. Recent publications span topics like soft robotic actuators, distributed sensing, and neural dynamics in robotics. His lab develops cutting-edge technologies for subterranean exploration, UAV navigation, and bio-inspired sensor systems. Collaborations include industry partnerships and interdisciplinary projects at the intersection of robotics, biology, and control theory. Awards and recognitions are not explicitly mentioned in the provided texts. Sean Humbert’s lab is located at ECES 1B14, with an office in ECES 146. His academic contributions bridge theory and application, addressing real-world challenges in autonomous systems and robotics innovation.

Manuel Sierra CastañerView profile

Professor

• Planar Antennas
• Antenna Measurement Systems
• Telecommunications Engineering
• +3 more

Prof. Manuel Sierra Castañer is a full professor at the Technical University of Madrid (UPM), serving as the Dean of the School of Telecommunications Engineering since May 2021. He holds a Telecommunication Engineering degree (1994) and a PhD (2000), both from UPM. His career includes roles as assistant and associate professor, research positions at Tokyo Tech and EPFL, and leadership in antenna measurement systems and international projects. He is a Senior Member of IEEE and Fellow of AMTA, with research focused on planar antennas and measurement systems. Notable achievements include the IEEE APS 2007 Schelkunoff Prize and leadership roles in EurAAP (Vice-Chair, General Chair for EuCAP 2022). He directed 7 PhD theses and led projects like FUTURE-RADIO and TERASENSE. His administrative roles include Director of International Cooperation at UPM (2010–2020) and leadership in the European School of Antennas. Key contributions span antenna design for 5G, satellite communications, and energy harvesting. He has authored 40+ journal papers and pioneered phaseless near-field techniques, robotic antenna measurement systems, and 3D-printed antenna components. His work bridges academic research with industry applications, emphasizing sustainable engineering education and global collaboration.

Andreas StollwitzerView profile

Researcher

• Railway Engineering
• Structural Dynamics
• Civil Engineering
• +3 more

Andreas Stollwitzer is a researcher affiliated with the Research Area Steel Construction at TU Wien. His academic titles include Univ.Ass. (University Assistant), Dipl.-Ing. (Diplom-Ingenieur), and Dr.techn. (Doctor of Technical Sciences). His research focuses on railway bridge dynamics, track-bridge interaction, and structural health monitoring. Key areas of investigation include the behavior of ballasted tracks on railway bridges, dynamic characteristics of bridge-track systems, and vibration analysis in high-speed rail infrastructure. His work emphasizes experimental and numerical methods to study phenomena such as longitudinal/lateral track-bridge interaction, dynamic stiffness and damping measurement, and destabilization of ballast beds under vertical vibrations. He has contributed to projects like DYS-GROS, analyzing the dynamic interaction between track components and bridge structures through both simulations and in-situ testing. Recent publications (2021–2023) highlight advancements in damping factor calculations, comparison of vehicle-bridge interaction approaches, and the application of indirect structural health monitoring techniques using vehicle-based sensors. His findings aim to improve bridge safety, reduce computational uncertainties in dynamic analyses, and optimize railway infrastructure design under high-speed conditions. He collaborates with institutions and researchers in Austria and internationally, focusing on railway engineering challenges. While no formal awards are listed, his extensive publication record reflects significant contributions to civil engineering dynamics and infrastructure systems.

• Wave Physics
• Medical Imaging
• Telecommunications
• +6 more

Mathias FINK is a Professor at ESPCI Paris on the Georges Charpak chair. His research focuses on fundamental wave physics in complex media with major applications in medical imaging, telecommunications, and geophysics. He pioneered time-reversal mirrors for wave focusing and co-founded 6 technology companies. Key Institutions: ESPCI Paris, Collège de France Research Themes: Wave physics, time-reversal techniques, matrix imaging, metasurface design His work spans multi-echo wave systems , ultrasonic therapeutic devices , and adaptive electromagnetic communication systems . Recent publications emphasize 3D matrix imaging in biological tissues and space-time interface dynamics . Scientific recognition includes: First academic elected at Collège de France (2008) Over 400 peer-reviewed publications 70+ patents and 6 start-ups Collaborations extend to Institut des Hautes Études Scientifiques , Langevin Institute , and Hong Kong University of Science and Technology . His team's volcanic imaging work with seismic noise has revolutionized subterranean mapping.

Furat Al-ObaidyView profile

Lecturer

• Machine Learning
• Intelligent Systems
• VLSI Circuits
• +7 more

Furat Al-Obaidy is a Lecturer in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His expertise spans machine learning, intelligent systems, VLSI circuits, multi-core systems, FPGA architecture, and deep learning applications. PhD in Electrical & Computer Engineering from Ryerson University (2021) MSc in Electrical & Computer Engineering from Ryerson University (2016) MSc in Control & Instrumentation Engineering from University of Technology, Baghdad (1999) BSc in Control & Systems Engineering from University of Technology, Baghdad (1996) His research focuses on power-aware computing systems, thermal imaging for IC testing, hybrid cache architectures, and AI-driven network optimization. He has published extensively on topics including GPGPU power management, 3D NoC routing, and wireless sensor networks. His recent publications highlight applications of neural networks in cache optimization, FPGA architecture, and thermal imaging for hardware diagnostics. Earlier work includes control system simulations for wind turbines and power factor analysis in electrical circuits. Ryerson Graduate Development Award (2021) Ontario Graduate Scholarship Award (OGS) (2020) Ryerson Graduate Fellowship (2018) Graduate Research Excellence Award (2017) Queen Elizabeth II Graduate Scholarship in Science and Technology (2017)

• Nonlinear Dynamics
• Structural Dynamics
• System Identification
• +3 more

Dario Anastasio is a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He is affiliated with the College of Mechanical, Aerospace, and Automotive Engineering and actively contributes to both teaching and research activities in mechanical engineering. Dr. Anastasio's research focuses on several key areas within mechanical engineering and dynamics. His primary interests include: Nonlinear dynamics and structural dynamics System identification and modal analysis Energy harvesting, particularly vibration energy harvesting Dynamics of mechanical systems with nonlinear characteristics Pantograph-catenary dynamic interaction in railway systems His work spans both theoretical modeling and experimental validation, with particular emphasis on negative stiffness oscillators, railway contact line dynamics, and nonlinear system identification techniques. Dr. Anastasio applies advanced methodologies including subspace identification, Bayesian model selection, and signal processing to solve complex mechanical engineering problems related to vibration analysis and structural dynamics. Analysis of Dr. Anastasio's publications reveals a strong focus on nonlinear dynamics, particularly in mechanical systems with complex behaviors. His research consistently bridges theoretical modeling with experimental validation across multiple domains including railway systems, energy harvesting devices, and nonlinear oscillators. The publications demonstrate progression from fundamental nonlinear dynamics research toward practical applications in railway engineering and vibration-based energy harvesting systems. Dr. Anastasio has received notable recognition for his work: Quality Award 2019 conferred by Politecnico di Torino, Italy (2020) Dr. Anastasio actively contributes to the academic community through extensive teaching activities across multiple programs. He serves as a Teaching Assistant for "Dynamics and Identification of Nonlinear Systems" and as a Course Collaborator for "Dynamics of Mechanical Systems" and "Vibration Mechanics" at both Master's and Bachelor's levels. His teaching spans from 2019/20 through the upcoming 2025/26 academic year, demonstrating his ongoing commitment to mechanical engineering education. Additionally, he contributes to PhD-level instruction in "Rotordynamics of High-Speed Rotating Machinery." Dr. Anastasio is a key member of the "Dynamics of mechanical systems and identification" research group within DIMEAS. His research integrates multiple ERC sectors including Mechanical and manufacturing engineering, ODE and dynamical systems, Signal processing, and Simulation engineering and modelling. His work aligns with Sustainable Development Goals 7 (Affordable and clean energy) and 9 (Industry, Innovation, and Infrastructure).

Tamás TettamantiView profile

Professor

• Road Traffic Control
• Intelligent Transportation Systems
• Traffic Simulation
• +3 more

Tamás Tettamanti is a Professor at Budapest University of Technology and Economics, serving as Deputy Head of the Department of Control for Transportation and Vehicle Systems. He holds a PhD (2013), Habilitation (2023), and DSc (2023) in Transportation Engineering, with expertise in road traffic modeling and control. 2007–2010: PhD Student 2010–2013: Assistant Lecturer 2014–2018: Senior Lecturer 2019–2024: Associate Professor 2025–present: Full Professor Education: High School Graduation (2001), DEUG (2004), MSc in Transportation Engineering (2007), Jazz Trumpet Graduate (2008) PhD (2013), Habilitation (2023), DSc (2023) Research focuses on road traffic modeling, intelligent transportation systems (ITS), autonomous vehicle integration, and emission-aware traffic control. His work bridges theoretical developments with real-world applications, including wireless traffic light systems and deep learning for urban mobility peaks. Scientific Awards: BME PhD Research Prize (2012) Literary Awards from Hungarian Scientific Association for Transport (2013, 2017, 2021, 2023) Bolyai János Research Scholarship (2017–2020) Michelberger Master Prize (2022) BME Jubilee Medal (2023) He has led major projects such as Dynamic Adaptive Traffic Control Services (2020–2024) and Deep Learning Anticipated Urban Mobility Peaks (DARUMA) (2021–2024), with industry collaborations including Google-BME Traffic Lab.

Swapnil SonkusareView profile

Professor

• Biophysics
• Cardiovascular Biology
• Physiology
• +2 more

Swapnil Sonkusare is a Professor in the Department of Molecular Physiology and Biological Physics at the University of Virginia School of Medicine and the Director of Graduate Studies in Physiology. His research focuses on calcium signaling mechanisms in vascular function and dysfunction, particularly in hypertension, obesity, pulmonary hypertension, and atherosclerosis. He leads the Sonkusare Laboratory at the Robert M. Berne Cardiovascular Research Center. Key Research Areas: Biophysics, Cardiovascular Biology, Physiology, Calcium Signaling, TRP Channels. Techniques: Transgenic mouse models, high-speed confocal imaging, patch-clamp electrophysiology, dSTORM super-resolution imaging. Sonkusare’s lab investigates how TRP ion channels interact with other signaling proteins to regulate blood pressure and vascular tone. His work has identified novel calcium signaling nanodomains in smooth muscle cells and elucidated the role of endothelial TRPV4 channels in pulmonary hypertension and obesity-induced hypertension. His lab’s recent publications highlight discoveries in mechanosensitive signaling , purinergic-TRPV4 pathways , and oxidative stress in vascular dysfunction . Collaborative studies with Dr. Venetia Laubach on lung ischemia-reperfusion injury have been featured in Science Signaling and Circulation . Scientific Awards: Mid-Career Award in Cardiovascular Pharmacology (ASPET, 2022). Dean’s Excellence in Faculty Research Award (UVA, 2022). Grants: Multiple NIH R01 grants (HL167208, HL142808, HL146914, EY034238, HL157407) fund his work on TRPV4 signaling, calcium nanodomains, and vascular inflammation. Labs & Teams: Based at the Robert M. Berne Cardiovascular Research Center, his lab collaborates with institutions like Johns Hopkins, McGill University, and the University of Maryland. Current members include Research Scientists Yen-Lin Chen and Maniselvan Kuppusamy, with former students Matteo Ottolini (now at Bayer Oncology) and Corina Marziano (Analytical Scientist at Medpace).

Bogdan RomanView profile

Research Fellow

• Compressed Sensing
• Signal Processing
• Sampling Theory
• +5 more

Dr. Bogdan Roman is a Senior Researcher in the Centre for Mathematical Imaging in Healthcare at the Pure Mathematics department and a Visiting Research Fellow at the Computer Science and Technology department, both at the University of Cambridge. He chairs the Computer Science Admissions Test (CSAT) and coordinates the Cambridge Imaging Clinic. Research Areas : Compressed Sensing, Signal Processing, Sampling Theory, Inverse Problems, Computational Mathematics, Medical Imaging, Wireless Networks His work on compressed sensing has driven advancements in MRI resolution and sub-50nm Scanning Helium Microscopy (SHeM), funded by EPSRC. Collaborations include Siemens (MRI validation), Cambridge Radiology, and industrial partners. He has contributed to breaking the coherence barrier in imaging and developed scalable wireless access control systems. Scientific Awards : Rosetrees Interdisciplinary Prize 2016 nomination, 2nd Place at Microsoft Research Workshop 2007 He lectures Part IA Numerical Analysis and co-lectures Part III courses on Sampling and Compressed Sensing. His tools include a high-speed C++ MEX Hadamard transform and MacOH stress-testing software. His publications span mathematics, physics, and computer science disciplines.

• Electronics
• Analog Design
• Circuits and Systems Theory
• +4 more

Professor İsmail Serdar Özoğuz is a distinguished academic at Istanbul Technical University , affiliated with the Department of Electronics and Communication Engineering . Holding the title of Professor since 2009, he has contributed extensively to analog circuit design, neural network applications, and wireless communication systems. Ph.D. in Electronics and Communications Engineering (1995) Department Head (2020-present) Vice Dean (2017-2020) Research Interests: His work spans Electronics , Analog Design , Circuits and Systems Theory , with recent focus on: Neural network-based filter optimization Memristor emulator circuits Spintronic devices for wireless and memory applications Intelligent optimization in RF designs Article Trends: Recent publications highlight AI integration in engineering challenges, power efficiency in wireless systems, and hardware-software co-optimization . His work bridges theoretical models (e.g., fractional-order neural networks) with practical implementations (e.g., GaN amplifiers). Scientific Awards: GEBIP Award (TUBA), 2002 Mustafa Parlar Foundation Research Incentive, 2003 TUBITAK Incentive Award, 2004 Grants & Projects: As Principal Investigator, he has led initiatives on: Spintronic devices for wireless/memory/analog uses Passive combiners in HF transmitters High-power GaN amplifier development Fractional-order neural network models

Lei WangView profile

Associate Professor

• Cyber-Physical Systems
• Aquatic Systems
• Embedded Computing with Renewable Energy
• +3 more

Lei Wang is the F. L. Castleman Associate Professor in Engineering Innovation at the University of Connecticut's School of Engineering, Department of Electrical and Computer Engineering. He holds a PhD from the University of Illinois at Urbana-Champaign (2001), an MS (1996) and BS (1992) from Tsinghua University, China. His research focuses on cyber-physical systems , embedded computing with renewable energy , and nanoscale integrated circuit design . Key areas include microbial fuel cells , memristor-based hardware security , and low-power signal processing architectures . Recent work trends involve Quantum-dot transistor applications for in-memory computing Adaptive LDPC decoder optimization Hardware security leveraging memristor properties Energy-efficient power management systems for underwater sensors Scientific recognition includes National Science Foundation CAREER Award (2010) F. L. Castleman Term Professorship in Engineering Innovation Professional roles encompass editorial and committee positions at IEEE and ACM journals. His work spans interdisciplinary domains in renewable energy integration , VLSI design , and bio-inspired computing systems .

• Control Systems Engineering
• Mechatronics
• Condition Monitoring
• +5 more

Roger Dixon is a Professor of Control Systems Engineering at the University of Birmingham's School of Engineering and a Visiting Professor at Loughborough University. His expertise spans applied control systems, mechatronics, condition monitoring, fault detection, and systems engineering. He holds a PhD from Lancaster University (1996) and has led major research initiatives in academia and industry, publishing over 150 papers. His work focuses on rail, road, aerospace, and energy sectors, emphasizing innovative solutions for industrial challenges. Education: BEng (Hons) Mechanical Engineering, Lancaster University (1992) MSc Mechatronics, Lancaster University (1993) PhD Control Systems Engineering, Lancaster University (1996) Research Interests: His research integrates advanced control strategies, fault detection, and condition monitoring. Key areas include: Rail infrastructure (e.g., fault-tolerant track switches) Aerospace actuator systems and fault-tolerant designs Energy systems (e.g., LNG platform monitoring) Model-based control and simulation Professional Highlights: Notable contributions include the 2013 REPOINT railway track switch concept and 2003 gas turbine fault-tolerant control patents. He chairs the UK Automatic Control Council (2017–2020) and has editorial roles in international journals. Awards: Fellow of the IMechE (2011) Fellow of the Higher Education Academy (2006) Chartered Engineer (2000) Lab & Collaborations: Leads the Control Systems theme at the Birmingham Centre for Railway Research & Education (BCRRE), focusing on rail innovation and multidisciplinary projects.

• Digital Circuit Design
• VLSI Systems
• Low-Power Electronics
• +3 more

Dr. Dimitrios Bakalis is an Assistant Professor at the Department of Physics, University of Patras, specializing in Digital Electronic Circuits and Systems. He joined the faculty in 2004 and focuses on the design and control of digital circuits, emphasizing low-power testing and built-in self-test (BIST) methodologies. His academic roles include teaching courses such as Computer Programming I, Digital Electronics, and Microcomputer Architecture at both undergraduate and postgraduate levels. Education: Diploma in Computer Engineering and Informatics (University of Patras) Master’s Degree in Computer Science and Technology (University of Patras) PhD in Computer Engineering and Informatics (University of Patras) Research Interests: His work revolves around VLSI design, arithmetic circuits, and low-power techniques. Key areas include modulo arithmetic circuits, fault-tolerant systems, and reconfigurable computing architectures. He has published over 50 papers in top-tier journals and conferences, contributing to advancements in digital circuit efficiency and reliability. Teaching: He instructs core courses in digital electronics and computer architecture, integrating cutting-edge research into his pedagogy. His MSc courses focus on FPGA-based digital system design, emphasizing practical applications. Labs/Teams: His research aligns with the Electronics & Computers sector within the Department of Physics, collaborating on projects involving arithmetic core optimization and low-power testing strategies.