Find Academic Supervisors

• Cardiovascular Tissue Regeneration
• Cell-Matrix Interactions
• Cardiac Fibroblasts
• +5 more

Bart GW Groenen serves as a Research Fellow in the Faculty of Biomedical Engineering at Eindhoven University of Technology, specializing in Cell-Matrix Interactions in Cardiovascular Tissue Regeneration. His work bridges fundamental cell mechanics with practical tissue engineering applications, focusing on how mechanical forces influence cellular behavior in cardiac contexts. Dr. Groenen's research interests span multiple interconnected domains of cardiovascular tissue engineering and cellular mechanobiology. His work particularly emphasizes the role of cardiac fibroblasts in tissue organization, the impact of substrate rigidity on cell function, and advanced techniques for manipulating and monitoring cellular mechanical environments. His fingerprint analysis reveals significant contributions to understanding rigidity sensing (100%), fibroblast biology (92%), cardiac fibroblast function (70%), and cardiac muscle cell behavior (57%), with additional expertise in stem cell applications, cell function analysis, stress fiber dynamics, and recombinant biomaterials. Analysis of his publication record from 2022-2025 reveals a strong trajectory in developing innovative methodologies for controlling cellular mechanical environments. His work spans from fundamental mechanobiology investigations to practical engineering applications, with particular emphasis on cardiac tissue regeneration. Key technological approaches include ultrasound-based cell patterning, light-based mechanical modulation systems, and advanced hydrogel platforms for stiffness manipulation. Dr. Groenen actively collaborates within an extensive research network at Eindhoven University of Technology, working closely with principal investigators including Carlijn V.C. Bouten, Nathaniel A. Kurniawan, and Derek Mostert. His research has attracted media attention, with professional commentary appearing in multiple outlets covering his work on cardiac fibroblast interactions and stress fiber quantification. His laboratory work focuses on developing and applying advanced imaging and manipulation techniques for studying cell-matrix interactions, particularly through platforms like SFAlab for stress fiber analysis and novel hydrogel systems for cardiac tissue engineering. Current research directions include ultrasound-based cellular manipulation systems and light-controlled mechanical environments for precision tissue engineering applications.

• Electronics
• Semiconductor Devices
• Quantum Computing
• +3 more

Domenico Zito , PhD, Eng., is a Professor at the AGH University of Science and Technology in Kraków, Poland, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering under the Department of Metrology and Electronics . His research spans advanced semiconductor technologies, focusing on cryogenic circuits for quantum computing, millimeter-wave systems for 5G/6G communications, and biomedical sensing applications. University: AGH University of Science and Technology (Kraków, Poland) School: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Department of Metrology and Electronics Email: domenico.zito@agh.edu.pl Research Interests: His work emphasizes the intersection of electronics engineering with quantum computing and biomedical technologies. Key areas include: Development of cryogenic CMOS circuits for quantum processors Millimeter-wave circuit design for next-generation wireless systems High-frequency oscillators, amplifiers, and switches Integration of micro-devices in biomedical platforms Phase noise reduction in CMOS oscillator topologies Recent Article Trends: Recent publications highlight advancements in sub-mW mm-Wave LNAs, cryogenic amplifiers for spin qubit control, and 60–95 GHz CMOS/SiGe components. Collaborative efforts include biomedical applications like contactless respiratory monitoring via UWB radar and environmental sensing with Doppler radar systems. Contact: Located in Headquarters B-1, 2nd floor, room 213 at AGH University.

• Vaccines
• Immunology
• Pediatric Vaccines
• +6 more

Marcela F. Pasetti, PhD, is a Professor in Pediatrics at the University of Maryland School of Medicine with a secondary appointment in Microbiology and Immunology. She serves as Chief of the Applied Immunology Section at the Center for Vaccine Development (CVD), leading a robust research program focused on pediatric vaccine development and immunology. Dr. Pasetti's educational background includes: Orientation in Microbiology and Immunology, University of Buenos Aires (1990) PhD in Immunology, University of Buenos Aires (1994) Diplome d’Immunologie Générale, Institute Pasteur (1994-1995) Postdoctoral Fellow, University of Maryland School of Medicine CVD (1996-2001) Her research centers on pediatric vaccines, neonatal/infant immunology, and maternal immunization. She develops novel strategies against pathogens affecting young children, including live attenuated Salmonella and Shigella vaccines, protein subunits, and polysaccharide conjugates. A key project involves a broadly protective vaccine targeting Salmonella , Shigella , and Yersinia using conserved Type III secretion proteins, evaluated in maternal-infant models. Analysis of her 14 publications (2006-2016) reveals consistent focus on mucosal immunity, maternal-infant vaccine interactions, and enteric pathogen vaccines. Her work bridges preclinical models and human clinical trials, emphasizing correlates of protection, serological assays for efficacy prediction, and maternal antibody impacts on infant responses. Key pathogens include Shigella , Salmonella , influenza, and measles. No specific scientific awards are mentioned in the source text. Dr. Pasetti has secured extensive funding as PI or Co-PI on 12 major grants since 2006, including NIH R01/R21 awards, Gates Foundation projects, and industry collaborations. Current work focuses on maternal immunity against shigellosis, serological assays for Shigella vaccines, and pertussis protection mechanisms. Her CVD lab provides critical immunological support for global vaccine trials. She directs the CVD's Applied Immunology Lab, which employs advanced techniques including human immune enteroid models, flow cytometry (GUAVA-mini), multi-array cytokine assays, and specialized equipment for mucosal immunity studies. Her team collaborates on enteric pathogen research using animal models and clinical specimens.

Sébastien LeclaireView profile

Associate Professor

• Fluid mechanics
• Multiphase flows
• Computational Fluid Dynamics
• +5 more

Sébastien Leclaire is an Associate Professor in the Department of Mechanical Engineering at Polytechnique Montréal, a leading engineering institution in Canada. With over a decade of experience in numerical fluid dynamics, he specializes in multiphase flow modeling using Lattice Boltzmann Methods (LBM), an emerging research niche. His work spans computational fluid dynamics, rarefied gas flows, porous media applications, and multiphase flow simulations. His educational background includes a B.Sc. in Pure and Applied Mathematics from the University of Montreal, an M.Sc. in Applied Mathematics from the University of Montreal, an M.Eng. in Mechanical Engineering from Polytechnique Montréal, and a Ph.D. in Mechanical Engineering from Polytechnique Montréal. Leclaire has built a multidisciplinary research profile through collaborations at institutions worldwide, including applied mathematics at the University of Montreal, mechanical engineering at Polytechnique Montréal, civil engineering at ENS Cachan in France, computer science at the University of Geneva in Switzerland, and chemical engineering at Polytechnique Montréal. Leclaire's research focuses on improving LBM modeling, extending its application to practical cases, and optimizing simulation codes for high-performance computing. His work addresses engineering challenges in fluid mechanics, particularly in multiphase flows, computational fluid dynamics, Lattice Boltzmann Method, and verification and validation. He has published over 65 papers, with recent work (2021-2025) demonstrating continued innovation in rarefied gas flows, porous media applications, and computational efficiency improvements. His publications show a consistent trajectory toward increasingly complex flow scenarios and computational optimizations. As a dedicated educator and researcher, Leclaire actively supervises graduate students and is recruiting for new research projects. He is affiliated with the Industrial Flow Processes Research Unit (URPEI) and teaches courses including MEC8270 (Finite Elements in Thermofluids), MEC6215 (Numerical Methods in Engineering), and MEC2200 (Fluid Dynamics).

• Microwave Engineering
• Millimeter-Wave Technology
• RF Integrated Circuits
• +5 more

Dr. Xiaohu Fang is an Assistant Professor at the School of Microelectronics , Southern University of Science and Technology. His research focuses on microwave and millimeter-wave RF front-end circuits, high-efficiency transmitters, and power amplifier linearization techniques for 4G/5G systems. Education: PhD in Electrical Engineering (2015), Chinese University of Hong Kong; MPhil (2011) and BEng (2008) in Electronic Science and Technology, Huazhong University of Science and Technology. Dr. Fang's research addresses critical challenges in RF integrated circuits , including: Design of GaN-based monolithic microwave integrated circuits (MMICs) for 5G/6G communication systems Development of high-efficiency, wideband power amplifiers with advanced linearization techniques Exploration of beamforming architectures and harmonic-isolation resonators His recent publications (2023-2024) highlight trends in Doherty amplifiers , Class-F/G designs , and millimeter-wave front-end solutions using GaN and SOI-CMOS processes. He serves as an IEEE Senior Member and reviewer for top-tier journals like IEEE TMTT and TCAS . Dr. Fang's work also includes a 2025 teaching award, demonstrating his dual impact in research and education. Scientific Awards: Pengcheng Peacock Program Category C Talent Postgraduate Scholarship of Hong Kong (2011-2014) Second Prize in the 9th Youth Teacher Teaching Competition and Provincial Teaching Innovation Competition (2025)

Mark BentumView profile

Professor

• Radio Astronomy
• Low-Frequency Radio Telescopes
• Antenna Systems
• +5 more

Mark Bentum is the current Dean of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He transitioned to this full-time leadership role in November 2023 after serving as a Part-Time Professor of Radio Science at TU/e since 2017 and 28 years at the Netherlands Foundation for Radio Astronomy (ASTRON), where he was head of the Radio Group. His research focuses on low-frequency radio astronomy, satellite-based telescopes like OLFAR, and antenna systems innovation. Education: PhD and MSc in Electrical Engineering from University of Twente (1995, 1991), MBA from Nyenrode Business Universiteit (2002) Research Interests: Bentum specializes in radio astronomy instrumentation, electromagnetic systems, and challenge-based learning methodologies. His work bridges technical innovation with educational reform, emphasizing student-driven problem-solving and soft skills development. Scientific Contributions: He pioneered the Orbiting Low-Frequency Antennas for Radio astronomy (OLFAR) project and contributed to semiconductor technologies for inter-satellite communication. His 2024 paper on 23-GHz TX/LNA modules demonstrated cutting-edge efficiency metrics for satellite networks. Awards: Comenius Senior Fellowship (Educational Research) MomenTUm Best Bachelor’s Teacher Award (2021) Leadership: As dean, Bentum advocates for transparent leadership, listening groups, and the Recognition & Rewards program to balance research, education, and personal development in academia.

Fabrice LEMOULTView profile

Associate Professor

• Wave Physics
• Metamaterials
• Acoustics
• +4 more

Fabrice LEMOULT is an Associate Professor at Institut Langevin , ESPCI Paris - PSL University. His research focuses on experimental wave physics in complex media, particularly metamaterials, acoustics, and soft matter mechanics. Research Highlights : Wavefront shaping, Dirac cone manipulation, time-reversal applications, and subwavelength acoustic/elastic wave control. Key Collaborations : Mathias Fink, Geoffroy Lerosey, Sébastien Popoff, Claire Prada. Recent Work Trends : Studies on elastic wave dynamics in soft materials (2024), acoustic metasurfaces for noise isolation (2024), and microwave metamaterials for topological effects (2024). Earlier works explore superlensing (2015), phononic crystals (2016), and nonreciprocal wave propagation (2017). Advising & Outreach : Mentored 11 doctoral/postdoctoral researchers, including Samuel Croquette and Simon Yves. Advocates for frugal science and public engagement via platforms like @FabLemoult on scicomm.xyz .

• Wave Physics
• Ultrasonic Imaging
• Optical Microscopy
• +4 more

Alexandre Aubry is a Research Director at CNRS affiliated with the Institut Langevin in Paris. His work focuses on imaging through complex media using wave physics principles, with applications in ultrasonic imaging, optical microscopy, seismic imaging, and radar technology . He leads projects supported by the ERC Consolidator Grant REMINISCENCE and ANR COPPOLA , and has co-founded the biomedical imaging company OWLO . Education: Habilitation à Diriger des Recherches, Université Paris Sciences & Lettres (2022) Post-Doc under John Pendry, Imperial College London (2008-2010) PhD under Arnaud Derode, Université Pierre et Marie Curie (2008) Engineer's Degree, ESPCI ParisTech (2005) Research Highlights: He developed 3D ultrasound matrix imaging to overcome wavefront distortions in biomedical applications, and pioneered passive seismic matrix imaging for volcanic structure mapping. His theoretical contributions include distortion matrix formalism for aberration correction and multiple scattering analysis in heterogeneous media. Scientific Awards: ERC Consolidator Grant REMINISCENCE ANR COPPOLA grant Research Team: Currently supervising 9 active PhD students and 5 postdoctoral researchers , with a track record of mentoring 12 former team members including prominent researchers like François Legrand and Laura Cobus.

• Medical Imaging
• Ultrasound Tomography
• Image Registration
• +4 more

Torsten Hopp is a Research Associate at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT). His work focuses on advanced medical imaging technologies, particularly 3D ultrasound computer tomography (USCT) and its integration with MRI and X-ray modalities for breast cancer diagnosis. Research Interests: Ultrasound tomography system development Image registration algorithms Machine learning applications in medical imaging Biomechanical and computational modeling GPU-accelerated image reconstruction Multimodal imaging for clinical workflows Publication Trends: Torsten Hopp has contributed extensively to the evolution of 3D USCT, with recent work emphasizing deep learning integration , refraction correction , and patient-specific modeling . His research bridges hardware innovation (e.g., PtQube device) with computational methods for clinical translation. Labs & Teams: Affiliated with KIT's Institute for Data Processing and Electronics , he collaborates on projects like the High Data Rate Processing and Analysis Initiative , advancing ultrasound tomography for breast cancer screening.

Aoife MorrinView profile

Associate Professor

• Biochemical Sensor Development
• Wearable Sensors
• Electrochemical Sensing
• +5 more

Dr. Aoife Morrin is an Associate Professor at the School of Chemical Sciences, Dublin City University (DCU), and Director of the National Centre for Sensor Research (NCSR) at DCU. She leads the 'Sample & Sense' research strand within the Insight Centre for Data Analytics, focusing on biochemical sensor platform development. Her work integrates electrochemical and optical transduction mechanisms with soft responsive materials to create wearable sensors for skin surface applications. She has published over 60 peer-reviewed papers (H-index 29, 4000+ citations), edited a book, and contributed to three book chapters. Dr. Morrin’s research spans wearable sensor formats, skin volatile emission profiling for disease biomarker discovery, and educational technology innovations in chemical education. Her recent publications highlight advancements in mobile phone-based sensors, volatilomic analysis of infections, and green chemistry approaches to sensor fabrication. She actively explores the intersection of analytical chemistry, biomedical diagnostics, and environmental monitoring through printed electronics and flexible sensor platforms. Her work also addresses the integration of digital tools like virtual laboratories and micro-skill badging for chemical sciences education. Dr. Morrin collaborates across disciplines to develop non-invasive diagnostic technologies, including for diabetic foot ulcer infections and skin pH monitoring. She contributes to environmental sensor development for pollutants like PFAS and cooking oil VOCs, as well as emerging applications in honey characterization and aging research via skin volatiles.

• Medical Imaging
• MRI Technology
• RF Coil Design
• +7 more

J. Rock Hadley is a researcher in the Department of Radiology and Imaging Sciences at the University of Utah , specializing in Advanced MRI Imaging and Custom RF Coil Design . His work focuses on Image-Guided High-Intensity Focused Ultrasound Therapy , Neurovascular Imaging , and Breast-Specific MRI Devices . Education: PhD, University of Utah ME, University of Utah BS, University of Utah Hadley's research spans MRI Technology Development , including RF Coil Design , Gradient Coil Systems , and Image-Guided Robotic Procedures . His recent work emphasizes Transcranial MRgHIFU , Carotid Artery Imaging , and High-SNR MRI Coils for organs like the Pituitary Gland and Optic Nerve . The 15 most recent publications highlight his contributions to 3T MRI Systems , MR Thermometry , and Phased Array Coil Decoupling . Articles from 2025–2020 demonstrate sustained innovation in Medical Robotics , Breast Imaging , and Neurovascular MRI . Hadley holds a patent for an Anatomical Positioning System (2009) and has collaborated extensively in Carotid Bifurcation Studies and Optic Nerve Imaging . His work is supported by grants and partnerships with institutions like the Coil Lab at the University of Utah.

• Radar Signal Processing
• Array Signal Processing
• Electronic Warfare
• +5 more

Professor Joon-Ho Lee is a distinguished faculty member in the Department of Information and Communication Engineering at Sejong University, where he has served since 2004. His academic journey began at POSTECH, where he earned his B.S. (1994), M.S. (1996), and Ph.D. (1999) degrees. Prior to joining Sejong University, he worked as a Senior Researcher at the Electronics and Telecommunications Research Institute (ETRI) from 1999 to 2004 and held a Visiting Scholar position at UC Berkeley in 2010. Ph.D., POSTECH (1999) M.S., POSTECH (1996) B.S., POSTECH (1994) Professor Lee's research focuses on radar signal processing, array signal processing, and electronic warfare systems. His work encompasses analytical performance analysis of radar and array signal processing algorithms, modeling and simulation of radar systems and electronic warfare, and machine-learning based radar signal processing. He specializes in direction-of-arrival estimation, angle-of-arrival estimation, radar natural frequency estimation, and radar target detection and recognition algorithms. His research bridges theoretical analysis with practical radar system implementation. His recent publications (2020-2025) demonstrate a consistent focus on performance analysis of direction-finding algorithms, particularly in challenging environments with correlated noise and jamming scenarios. His work spans both theoretical derivations of mean square error for various algorithms and practical implementations using compressive sensing and machine learning techniques. The research shows a progression from classical methods like MUSIC and monopulse algorithms toward more advanced sparse recovery and optimization-based approaches. Professor Lee teaches undergraduate and graduate courses including Numerical Analysis, Linear Algebra, and Array Signal Processing. He advises graduate students through Master's thesis research and maintains an active laboratory (Chung918) where students can schedule interviews on Mondays and Wednesdays from 13:00-16:00. His teaching and research are closely integrated, with students gaining hands-on experience in radar signal processing and electronic warfare simulation.

Marika KieferovaView profile

Senior Lecturer

• Quantum Computing
• Quantum Algorithms
• Quantum Simulation
• +3 more

Marika Kieferova is a Senior Lecturer at the School of Computer Science, University of Technology Sydney (UTS), and a researcher at the UTS Centre for Quantum Software and Information (QSI). She previously held a postdoctoral position at UTS and earned her PhD in Physics and Astronomy from the University of Waterloo (2019) with a cotutelle from Macquarie University. Research Interests Her work spans quantum computing, quantum simulation, and quantum information theory. Key areas include developing quantum algorithms for Hamiltonian simulation, error mitigation strategies, and entanglement-induced optimization challenges in quantum neural networks. She explores non-Abelian anyon braiding, engineered dissipation for correlated states, and bound states of interacting photons in superconducting qubit arrays. Article Trends Her recent publications focus on quantum dynamics in many-body systems, error suppression techniques, and algorithmic advancements. Topics include phase transitions in random circuits, superdiffusive quantum transport, and randomized multi-product formulas for efficient simulation. These works highlight her contributions to quantum chemistry, topological quantum computing, and NISQ-era applications. Scientific Awards QIP Best Poster Award (2020) IQC Achievement Award (2019) Grants and Leadership She leads the QB-suite grant for quantum algorithm design (2024-2027) and contributes to defense quantum optimization projects (2021-2024). She serves as an associate editor for Quantum Science and Technology and participates in peer review for Physical Review A.

Andreas SchillingView profile

Professor

• Superconductivity
• Materials Science
• Phase Transitions
• +3 more

Prof. Dr. Andreas Schilling leads the Phase Transitions, Materials and Applications Research Group at the Physik-Institut of the University of Zurich (Switzerland). His work focuses on high-temperature superconductivity , quantum criticality , and multiferroic materials , with groundbreaking contributions such as the discovery of superconductivity above 130 K in HgBa₂Ca₂Cu₃O₁₊ₓ (1993). Research : Explores superconductivity mechanisms, vortex dynamics, and magnetoelectric coupling in quantum materials. Students : Mentors Ph.D. researchers and postdocs (e.g., Dr. Huanlong Liu, Dong Zhu) and has supervised numerous former advisees. Key Awards : Discovery of superconductivity above 130 K (1993), Development of multiferroic materials with room-temperature magnetoelectric coupling (2013).

• Engineering Acoustics
• Acoustic Measurement
• Communication Acoustics
• +4 more

Yasuhiro Oikawa is a Professor at the School of Fundamental Science and Engineering, Faculty of Science and Engineering, Waseda University. He holds a Doctor of Engineering degree from Waseda University and has been actively contributing to acoustics, signal processing, and optical measurement techniques. His research spans Sound field visualization using parallel phase-shifting interferometry Phase-aware audio signal processing algorithms Acoustic calibration and microphone sensitivity analysis Real-time sound event localization systems His recent publications focus on advanced time-frequency analysis, optical methods for sound measurement, and deep learning applications in acoustics. Key trends include Improving resolution in spectrogram-based signal processing Integration of physical models with neural networks Development of wearable acoustic sensor arrays Scientific awards recognizing his work include The Fumio Okano Best 3D Paper Awards CSS2018 Best Paper Award Acoustical Society of Japan Contribution Award Institute of Electronics, Information and Communication Engineers Human Communication Award He has served as a committee member for the Acoustical Society of Japan and is affiliated with organizations such as ACM, IEEE, and Acoustical Society of America. His research has been supported by collaborations with institutions like Technical University of Denmark and applications in robotics, museum exhibits, and consumer electronics.