Pierre A. Mathieu is a Full Professor at the Université de Montréal's Faculty of Medicine, Department of Pharmacology and Physiology. His research focuses on electromyography (EMG), musculoskeletal disorders, and biomedical engineering applications in rehabilitation. He leads projects on muscle synergy analysis, neuromuscular control, and clinical anesthesia systems. Affiliated with CRIR, GRSTB, and REPAR, he teaches courses like GBM-6106 (Methods in Physiological Systems) and supervises master's and PhD students in biomedical engineering and bioinformatics. Recent work includes studies on upper limb muscle dynamics, pediatric cerebral palsy biomechanics, and EMG-driven robotics. His grants include CRSNG-funded projects on EMG/elastography investigations and neuromuscular monitoring. Research interests integrate EMG signal acquisition/interpretation using surface electrode matrices and mathematical models, targeting musculoskeletal adaptation/rehabilitation. His lab develops tools like EMGSIM simulation software and Info-muscle educational modules. Collaborations span robotics, anesthesia automation, and musculoskeletal pathology. Over 30 students have been advised, with publications in Clinical Biomechanics , IEEE , and Human Movement Science .
Maria Fyta serves as a Professor of Biotechnology at RWTH Aachen University's Faculty of Biology, leading research in the Department of Biotechnology from her lab in the Biology Building (Worringerweg 3, Aachen). Her work bridges computational physics, nanotechnology, and molecular biology to develop next-generation biosensing platforms. Her research focuses on nanopore-based DNA/protein sequencing , utilizing 2D materials (graphene, MoS 2 , h-BN) and nanodiamond functionalization for single-molecule detection. Key projects include ionic liquid catalysis systems , computational alloy design , and molecular dynamics simulations of biomolecular translocation. Recent work emphasizes machine learning integration for signal analysis and materials discovery. Analysis of her 15 most recent publications reveals dominant trends in Nanopore engineering for biomolecular sensing Computational materials design of 2D systems and alloys Machine learning applications in nanofluidics While no specific scientific awards are documented in the provided materials, her extensive publication record demonstrates significant contributions to nanotechnology and biophysics. Professor Fyta's group develops advanced simulation frameworks for biomolecular translocation and collaborates on experimental validation of nanoscale devices. Current efforts focus on enhancing read-out capabilities in functionalized nanopores and designing bio-mimetic sequencing platforms.
Dr. Duncan Robin Hewitt is an Associate Professor in Fluid Dynamics and Sustainability at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, and a Fellow and Director of Studies in Mathematics at Corpus Christi College, Cambridge. He holds a PhD in Applied Mathematics from the University of Cambridge (2010-2014) and has held roles including Lecturer at University College London (2019-2023) and Research Fellow at Gonville and Caius College (2015-2019). His research focuses on fluid dynamics with applications to environmental, industrial, and biological systems, particularly non-Newtonian fluids, porous media mechanics, granular flows, and heat/mass transfer. Key research areas include modeling complex flows such as clogging, yield-stress fluids, and glacial dynamics. He is affiliated with research groups in Fluid Mechanics, Solid Mechanics, and Theoretical Geophysics. His work spans from fundamental mathematical modeling to practical applications in geophysics and engineering. Recent publications explore viscoplastic fluid dynamics, ice-sheet dynamics, and porous media convection. His research integrates mathematical analysis with experimental and computational methods, contributing to fields like glaciology, industrial fluid processing, and geophysical fluid dynamics. Dr. Hewitt collaborates internationally and maintains an active research portfolio. His academic contributions are documented on his personal website: http://www.damtp.cam.ac.uk/user/drh39/ .
Tongsheng Wang is a Postdoc researcher in the Department of Mechanical Engineering at Eindhoven University of Technology, affiliated with the Group Den Toonder. His research focuses on developing and applying magnetic artificial cilia for microfluidic systems, biomedical devices, and self-cleaning surfaces. Key areas include microfluidic mixing, shear-thinning fluid dynamics, and programmable motion control in lab-on-a-chip technologies. He completed his PhD in 2025, titled 'Programmable Magnetic Artificial Cilia and Their Microfluidic Applications.' Research Interests: - Microfluidics and lab-on-a-chip systems - Magnetic actuation and artificial cilia design - Anti-biofouling surfaces and self-cleaning mechanisms - Biomedical microdevices and organ-on-a-chip platforms - Fluid dynamics in microscale environments Recent Work Trends: Recent publications emphasize advancements in metachronal motion of magnetic cilia for enhanced mixing, microalgae growth enhancement, and integration of cilia-based pumps into biomedical devices. His work bridges mechanical engineering with biomedicine, addressing challenges in controlled microscale fluid handling and biocompatible surface engineering. Collaborations: Collaborations include projects on microfabricated medical devices and biomimetic systems. His work has been highlighted in media for innovations like miniaturized metachronal cilia, featured in Proceedings of the National Academy of Sciences .
Yumi Ijiri is the Francis D. Federighi Professor of Natural Sciences and Professor of Physics at Oberlin College, part of the College of Arts & Sciences. She holds a BA from Princeton University (1991), and MS (1994) and PhD (1996) from Cornell University. Her research focuses on synthesizing and understanding novel magnetic materials, including nanoparticles, nanocrystalline alloys, and exchange-biased systems. Techniques include polarized small-angle neutron scattering and collaborations with institutions like Carnegie Mellon University and Lawrence Livermore National Laboratory. Key research areas include nanomagnetism, magnetostrictive materials, and biomedical applications of magnetic nanoparticles. She has led NSF-funded projects on nanoparticle magnetic interactions and has been a principal investigator on grants totaling over two decades. Notable collaborations include work with Sara Majetich (nanoparticle properties), Scott McCall (Fe-Ga alloys), and Maciej Zborowski (biomedical applications). Current Projects: Magnetostrictive materials for sensors, ferrite nanoparticle assemblies Grants: NSF RUI (2016–present), NASA (2004–2005), ACS-PRF (multiple periods) Teaching includes courses like Materials Physics (PHYS 340), Mechanics and Relativity (PHYS 110), and co-developed curricula such as the FYSP 143 seminar. She advises graduate and undergraduate researchers, including notable advisees Alex Yu ’23, Emily Everhart ’22, and Aidan Khelil ’22. Awards include NRC/NIST Postdoctoral Research Fellowship (1996–1998) and ACS-PRF summer fellowships. Her work bridges fundamental physics with applied technologies, emphasizing interdisciplinary collaboration.
Raja Sengupta, PhD, is an Associate Professor in the Department of Geography & School of Environment at McGill University. His research focuses on GIScience, agent-based modeling, and spatial decision support systems. He has held roles including Co-Director of the Roger Tomlinson Lab for GIScience and Visiting Faculty positions at institutions in India. His education includes a PhD from Southern Illinois University-Carbondale (2000) and degrees from Indian Institute of Technology-Mumbai and St. Xavier’s College, Mumbai. Research Interests: GIScience, agent-based modeling, smart cities, spatial epidemiology, land-use change, and environmental policy. Current projects include urban heat island monitoring, zoonotic disease transmission modeling, and mobile phone-based epidemic detection. Grants & Awards: Recipient of MUGS Mug Teaching Award (2007-2008). Active grants include Canada-India IMPACTS Network (Smart Cities, 2017-2018) and SSHRC funding for interdisciplinary conservation projects (2010-2017). Teaching: Courses include ENVR 301: Environmental Research Design and GEOG 201/307: GIS and Socio-Economic Applications. Labs & Collaborations: Leads the Roger Tomlinson Lab for GIScience and collaborates with global institutions on projects like the Indian Ocean World research initiative.
Dr. Marco Monopoli is a Senior Lecturer at the Department of Chemistry, Royal College of Surgeons in Ireland (RCSI). His research focuses on understanding bio-nano interactions, particularly the protein corona formation around nanomaterials and its implications for nanomedicine, nanotoxicology, and environmental impact. He leads a multi-disciplinary team developing methods to characterize nanoparticle-protein corona complexes using advanced physicochemical and proteomic techniques. Academic Positions: Senior Lecturer (2016–present), Postdoctoral Researcher (2009–2015) Education: PhD in Pharmacology (University College Dublin, 2005–2009), Master’s in Pharmaceutical Biotechnology (University of Modena and Reggio Emilia, 2005) Dr. Monopoli’s research interests include biomaterials, drug delivery systems, and chronic disease diagnostics. He has pioneered studies on how nanoparticle surface properties influence biological interactions, with applications in personalized medicine and environmental safety. His grants include funding from Science Foundation Ireland (SFI), European Commission (EU Horizon), and Enterprise Ireland for projects like Glyco-Nanoparticles for Nanomedicine and Sustainable Nanomaterial Design. Recent publications focus on nanoparticle corona dynamics, biomarker discovery, and immunomodulation strategies. Dr. Monopoli is actively involved in educational initiatives, holding a Postgraduate Diploma in Health Professional Education from RCSI.
Jiří Kosinka is an Associate Professor (Tenure Track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Scientific Visualization and Computer Graphics research group. His roles include coordinating and lecturing in Computer Graphics and Advanced Computer Graphics courses, as well as serving as an editor for journals like Computer-Aided Design and Graphical Models . Academic Position: Associate Professor, Tenure Track Affiliations: Bernoulli Institute, Faculty of Science and Engineering Research Group: Scientific Visualization and Computer Graphics Education PhD in Mathematics (2006), Charles University, Prague MSc in Mathematics (2002), Charles University, Prague Research Interests Kosinka's work focuses on geometric modeling, computer graphics, and image processing. He develops algorithms for subdivision surfaces, numerical quadrature, and fluid simulation, with applications in surgical planning and medical visualization. His research bridges theoretical contributions with practical implementations in CAD systems and real-time rendering. Conference Contributions Co-organizer of DGMM 2025 (Discrete Geometry and Mathematical Morphology) in Groningen Program Chair for AniNex 2022/2023 (Next Generation Computer Animation) IPC member for SGP, SPM, Pacific Graphics, and other key conferences Editorial Roles He serves on the editorial boards of Computer-Aided Design and Graphical Models , and has guest-edited special issues in Computer Aided Geometric Design . Labs & Teams He leads the Scientific Visualization and Computer Graphics group, collaborating on projects like BoneStory (3D surgical planning) and fluid dynamics simulations. His lab focuses on advancing geometric algorithms and their real-world applications.
Ken Ri Kim is a Senior Lecturer in Textiles at Loughborough University’s School of Design and Creative Arts. She holds a PhD in Digital Weaving and Coloration from Hong Kong Polytechnic University, an MA Textile Practice and Theory from Southampton University, and a BSc in Textiles and Clothing Design from Kyunghee University. Her research focuses on advancing woven textile coloration and design through interdisciplinary approaches combining color science, digital image processing, and smart materials. Her work addresses limitations in multicolour production and 3D form creation using experimental methods involving weave structures, digital Jacquard systems, and subtractive color theory. Key contributions include novel weaving applications and first-of-its-kind textile designs disseminated through academic journals, conferences, and international exhibitions. She has worked in the textile and fashion industry across South Korea, Hong Kong, and the UK before transitioning to academia in 2017. Research trends in her publications emphasize color system optimization, digital Jacquard innovation, and sustainable textile practices. Her work bridges traditional weaving techniques with modern digital technologies to enhance design capabilities and material aesthetics. Notable projects include gradient color deviation studies and comparative textile recycling analyses between Korea and the UK. Her lab focuses on experimental textile fabrication, with active participation in global exhibitions showcasing innovative woven art and smart materials. Collaborations with industry partners drive applied research outcomes in both commercial and academic contexts.
Dr. Manuj Awasthi is a Lecturer in Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW). He specializes in aeroacoustics, fluid dynamics, and experimental methods for noise reduction in aerospace systems. His research focuses on supersonic flows, boundary layer interactions, and the design of specialized facilities like the UNSW anechoic wind tunnel. University: University of New South Wales School: Engineering Department: Mechanical and Manufacturing Engineering Research interests include: Supersonic cylinder wake dynamics and acoustic wave propagation Tip clearance flow noise and boundary layer effects Leading-edge serrations and trailing-edge bluntness noise reduction Experimental investigations using 3D microphone arrays and anechoic wind tunnel setups Recent work highlights advancements in understanding near-field cylinder wakes across subsonic, transonic, and supersonic regimes, as well as parametric studies of tip leakage flow acoustics. His contributions span both numerical simulations and experimental validations, with a focus on wind tunnel testing and flow visualization techniques. Collaborations include development of specialized facilities like the UNSW tip clearance flow noise test rig and participation in global conferences such as the AIAA Aeroacoustics Conference.
Dr. Markus Heyde is a Research Group Leader in the Interface Science Department at the Fritz Haber Institute of the Max Planck Society in Berlin, Germany. He leads the Scanning Probe Microscopy research group (ISC-AG-Heyde), which focuses on high-resolution local structure measurements of model systems for heterogeneous catalysis using atomic resolution scanning probe microscopy and spectroscopy techniques. Dr. Heyde's research interests center on surface science and catalysis, with particular expertise in: Atomic resolution imaging of crystalline and amorphous thin oxide film systems Electrocatalytic reactions including water oxidation and carbon dioxide reduction Stabilization of catalysts from degradation and erosion Two-dimensional barrier layers for model systems addressing structural and chemical alterations Chemical and structural effects created by two-dimensional overlayers His recent publications demonstrate a strong focus on the application of scanning probe microscopy to understand surface structures at the atomic level, particularly for catalytic systems. His work often involves collaborations with the Roldan Cuenya group, investigating copper-based catalysts for CO2 electroreduction and exploring molecular adsorption phenomena using N-heterocyclic compounds. A significant portion of his research examines 2D silica and other thin film materials, providing fundamental insights into amorphous structures and interfaces. Dr. Heyde actively supervises research staff and students, including Kishan Govind, Jens Hartmann, and Felix Landwehr, who are listed as members of his research group. His laboratory develops and applies advanced scanning probe microscopy techniques to address fundamental questions in surface science and catalysis.
Dingguo Zhang is a Reader in Robotics Engineering at the Department of Electronic & Electrical Engineering, Faculty of Engineering & Design, University of Bath. He is affiliated with several interdisciplinary research centers including the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Bioengineering & Biomedical Technologies (CBio), the Bath Institute for the Augmented Human, and IAAPS. His work bridges robotics, neuroscience, and biomedical engineering to develop advanced assistive and rehabilitative technologies. His research focuses on Rehabilitation Robotics, Neural Technologies, Brain-Computer Interfaces (BCIs), and Robotic Exoskeletons . He investigates how neural signals such as EEG and EMG can be used to control prosthetic devices, exoskeletons, and communication systems, particularly for individuals with neurological impairments. His work also involves signal processing, machine learning, and adaptive control strategies to improve human-machine interaction. Key themes include decoding motor and speech intentions, fatigue assessment, and closed-loop neuromodulation. The recent publications reflect a strong trend toward invasive and non-invasive neural interface development , especially in decoding speech from intracranial EEG and enhancing BCI performance through advanced preprocessing and deep learning. There is also significant focus on wearable robotics for stroke and spinal cord injury rehabilitation , with integration of soft actuators, hybrid control, and real-time adaptation. Multimodal sensing (e.g., EEG-fNIRS, EMG-force) and patient-centered design are recurring elements across his work. Dr. Zhang has received recognition through his status as an IEEE Senior Member (EMBS, RAS, SMC) and IFESS Lifetime Member . He serves on the editorial boards of five journals including IEEE Transactions on Neural Systems & Rehabilitation Engineering and Frontiers in Neurorobotics , and has held leadership roles such as co-chair of IFESS 2024. He is actively involved in research funding and supervision. He is Principal Investigator (PI) on the EPSRC-funded dSPEECH project, which aims to decode speech using invasive BCIs, and Co-Investigator on an NIHR-funded project developing an ear-switch-controlled exoskeleton for stroke rehabilitation . He welcomes PhD students and is committed to training the next generation of researchers in neurotechnology and robotics. Dr. Zhang leads or contributes to research within collaborative labs and teams focused on bioengineering, augmented human systems, and accountable AI . These include the Centre for Bioengineering & Biomedical Technologies and the Bath Institute for the Augmented Human, where interdisciplinary teams develop next-generation assistive technologies grounded in ethical and transparent AI principles.
Tony F. Chan is currently President and Professor of Mathematics and Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He holds the title of Professor Emeritus in the Department of Mathematics at the University of California, Los Angeles (UCLA), where he previously served as Professor with joint appointments in Computer Science and Bioengineering. He was Dean of the Division of Physical Sciences at UCLA (2001–2006) and Assistant Director at the National Science Foundation (NSF) for Mathematics and Physical Sciences (2006–2009). President, HKUST Professor, Mathematics & Computer Science and Engineering, HKUST Professor Emeritus, Mathematics, UCLA Assistant Director, NSF (2006–2009) Dean, Division of Physical Sciences, UCLA (2001–2006) His research interests are centered around mathematical image processing, computer vision, computational brain mapping, and numerical algorithms. He has made seminal contributions to variational methods, total variation regularization, level set methods, and multiscale computational techniques. His work bridges pure mathematics with applications in biomedical imaging, VLSI design, and scientific computing. His recent publications focus on image segmentation, inpainting, brain surface mapping, and nonlocal filtering. These works demonstrate a strong trend toward geometric and variational models for image analysis, with increasing emphasis on medical and biological applications such as neuron tracking and cortical mapping. One of the most cited mathematicians (ISI Highly Cited) Chan has mentored over 25 PhD students and 15 postdoctoral fellows, contributing significantly to the training of next-generation researchers in applied mathematics and computational science. He has led major research initiatives including the Institute for Pure & Applied Mathematics (IPAM) and has been involved in numerous professional services at national and international levels. His work has been supported by major funding agencies including the NSF. He leads the Image Processing Group at UCLA and has been instrumental in advancing interdisciplinary research at the intersection of mathematics, engineering, and neuroscience.
Dr. Frederik Saltre is a Senior Lecturer in Ecology and Biogeography at the University of Technology Sydney and a Research Scientist at the Australian Museum . He leads the Biogeography, Ecology & Modelling (BEAM) Lab and serves as Chief Investigator in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. His career spans institutions including Flinders University (2017–2024), University of Adelaide (2013–2017), and Oregon State University (2011–2013). Education: PhD in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2010) MSc in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2006) BSc in Biology of Organisms, University Montpellier 2 (2004) Research Interests: Dr. Saltre specializes in global change ecology , paleoecological modeling , and species distribution dynamics . His work integrates stochastic demographic models , biomechanical constraints , and machine learning to study species responses to climate change, extinction mechanisms, and human-environment interactions. Key methodologies include process-explicit models , trophic network analysis , and radiocarbon calibration techniques . Publications & Tools: With over 50 peer-reviewed articles, his research spans megafauna extinction cascades , monsoon dynamics , and environmental watering strategies . He co-developed the R package Rextinct for extinction time estimation and CRIWM algorithm for radiocarbon chronologies. Scientific Awards: Visiting Scholarship, University of Colorado Boulder (2019) Environment Institute Grant, University of Adelaide (2014) Biogeography Society Travel Grant (2013) Assistant Professor Fellowship, France (2010) Supervision: Current: 8 PhD/Honours students Past: 2 MSc/Honours students Leadership: Coordinator, Global Ecology Laboratory Member, Weisbecker Lab Grant Reviewer: NSF, ERC, SNF, BES
Jim Usherwood is Professor of Locomotor Biomechanics and a Wellcome Trust Senior Research Fellow at the Structure & Motion Laboratory, Department of Comparative Biomedical Sciences, The Royal Veterinary College (RVC), University of London. His research integrates biomechanics, engineering, and biology to understand how animals move efficiently across land and air. He leads a major 5-year Wellcome Trust project on the 'Muscle-Mechanical Compromise Framework' and collaborates on bio-inspired flight systems with the US Air Force Office of Scientific Research. Research Interests: Jim's work centers on the mechanical optimization and trade-offs in animal locomotion. He explores how animals achieve propulsion and weight support without wheels or propellers, using experimental techniques and engineering analyses. Key areas include terrestrial and aerial locomotion, gait dynamics, legged robotics, flapping flight, and bio-inspired design. His research spans species from birds to humans, examining how musculoskeletal systems adapt to mechanical challenges. Publication Trends: His recent publications emphasize bio-inspired engineering, particularly in flight and robotics. Themes include gust tolerance in bird flight, morphing air vehicles, robotic leg design, and energy-efficient locomotion. The integration of biological principles into engineering solutions is a consistent thread, supported by interdisciplinary methods such as high-speed motion capture and aerodynamic modeling. Scientific Awards: Wellcome Trust Senior Research Fellow Grants and Advising: Jim is principal investigator on a 5-year Wellcome Trust Senior Research Fellowship and co-investigator on an AFOSR-funded project with Richard Bomphrey. He has also secured funding from BBSRC, EPSRC, and ARIA for projects in biomechanics and robotics. While no formal students are listed, he mentors researchers within the Structure & Motion Laboratory and collaborates widely across institutions. His work bridges fundamental science and translational applications, particularly in robotics and aerospace. Labs and Teams: Jim is a core member of the Structure & Motion Laboratory at RVC, a leading center in comparative biomechanics. The lab conducts interdisciplinary research combining biology, physics, and engineering to study animal movement. He collaborates with the University of Bristol and international partners on projects involving avian flight, robot locomotion, and aerodynamic modeling.
