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Nadine MeyerView profile

Researcher

• Nanophotonics
• Cavity Optomechanics
• Levitation Optomechanics
• +3 more

Dr. Nadine Meyer is a researcher at the Nanophotonics Systems Laboratory (light.ethz.ch/) within ETH Zurich, Switzerland. Her work focuses on levitation optomechanics with nanoparticles, developing hybrid levitation platforms and metasurfaces for fundamental and applied research in cavity optomechanics and inertial sensing applications. Her research centers on quantum optomechanics using optically levitated nanoparticles in vacuum environments. Key investigations include ground-state cooling of mechanical modes, mechanical squeezing phenomena, and the development of ultrathin tunable optomechanical metalenses. She also pioneers applications in chemical nanoreactors and ultra-precise inertial sensing systems, leveraging quantum effects at the nanoscale. Analysis of her 15 most recent publications (2019-2025) reveals a clear trajectory toward integrating metasurfaces with levitated optomechanical systems and advancing quantum control techniques for nanoparticles. Her work consistently bridges fundamental quantum physics with practical sensor development, particularly through collaborations within the Nanophotonics Systems Laboratory. The Nanophotonics Systems Laboratory, led by Professor Romain Quidant, provides the experimental infrastructure for Dr. Meyer's research. Located at CLA E 17.1, Tannenstrasse 3, Zürich, the laboratory specializes in optical trapping technologies, vacuum systems, and quantum measurement techniques for levitated nanoparticles.

• Computational Chemistry
• Biophysical Chemistry
• Molecular Dynamics Simulations
• +5 more

Matthias Heyden is an Associate Professor at Arizona State University's School of Molecular Sciences and an affiliate of the Center for Biological Physics. He joined ASU in 2017 after prior roles as a research group leader at the Max-Planck-Institut für Kohlenforschung and the Cluster of Excellence RESOLV, and as a postdoctoral researcher at the University of California, Irvine. His research focuses on atomistic simulations of molecular systems to study solvation processes, vibrational dynamics in biomolecules, and novel computational methods for simulating crowded biomolecular environments. Education: Dr. rer. nat. (summa cum laude) in Chemistry from Ruhr-Universität Bochum (2010), B.Sc. in Biochemistry (2004). His work bridges computational chemistry and biophysics, with applications in protein-ligand interactions, enzyme catalysis, and cellular crowding effects. He leads the Heyden Lab and maintains a research website at CompMolSci.com . Research Interests: His group uses molecular dynamics simulations to explore solvation thermodynamics, correlated vibrational motion in biomolecules, and large-scale protein simulations. Key areas include understanding solvation's role in biomolecular processes, analyzing vibrational signatures for energy propagation, and modeling complex cellular environments. Techniques developed by his lab enable spatially resolved analysis of solvation free energy and entropy. Service & Professional Roles: Co-chair of the TSRC Workshop on Water Structure and Dynamics (2019), faculty advisor for Biophest (2019), and member of professional societies including the American Chemical Society and Biophysical Society. His research has been published in high-impact journals such as Journal of Physical Chemistry , Biophysical Journal , and Proceedings of the National Academy of Sciences .

Kim CluffView profile

Professor

• Wearable Sensing Systems
• Biomedical Engineering
• Aerospace Applications
• +3 more

Kim Cluff is a Professor and IACUC Chair at Wichita State University. Her research focuses on wearable sensing systems, biomedical engineering, and aerospace applications, with a particular emphasis on non-invasive monitoring of biofluid dynamics and medical diagnostics. She has developed novel sensors for applications ranging from aerospace health monitoring to patient-specific medical systems. Her work integrates advanced materials like PVDF and dielectric elastomers with electromagnetic and RF technologies to create innovative diagnostic tools. Key projects include skin patch resonators for fluid volume measurement and systems for real-time organ motion management in medical therapies. Publications highlight contributions to biomedical sensor design, including CO₂ gas detection and shoulder joint clearance monitoring in space suits. Though no grants or awards are explicitly listed, her research has been applied in clinical contexts such as peripheral artery disease diagnostics and cancer treatment systems. A lab website exists for her main campus research activities, though specific lab details are not provided in the text.

• Virtual Reality
• Human-Computer Interaction
• Computer Graphics
• +4 more

Frank Steinicke is a Professor at the University of Hamburg and previously affiliated with the University of Münster. His research focuses on Virtual Reality (VR), Human-Computer Interaction (HCI), and immersive technologies. He holds a PhD in Computer Science from the University of Münster (2007). Affiliations: University of Hamburg (Computer Science Department), University of Münster (previous). Roles: Professor, Researcher in VR and HCI. Research Interests: Steinicke specializes in redirected walking techniques, exergames, haptic feedback, and immersive analytics. His work spans VR navigation, human-agent interaction, and neural radiance fields (NeRF) for 3D reconstruction. Recent projects include real-time 3D scans for medical applications and mobile VR teleoperation systems. Publications: Over 300+ publications in top venues like IEEE TVCG, VR, and CHI. Key contributions include foundational work on redirected walking thresholds and immersive locomotion systems. Awards: Not explicitly listed in the provided data. However, his extensive publication record suggests recognition in VR and HCI communities. Labs/Teams: Collaborates with interdisciplinary teams on projects involving medical VR, exergame design, and intelligent virtual agents.

• Haptics
• Human-Computer Interaction
• Acoustic Engineering
• +3 more

Yasutoshi Makino is a researcher specializing in ultrasound-based haptics, tactile feedback systems, and human-computer interaction. He has collaborated extensively with Hiroyuki Shinoda and other colleagues, focusing on mid-air haptic displays, noncontact object manipulation, and sensory reproduction. Research Interests Makino's work explores the intersection of acoustics, neuroscience, and engineering to create immersive tactile experiences without physical contact. His innovations include ultrasound-driven actuation mechanisms, thermal sensation rendering, and real-time human motion prediction for robotic systems. Recent Publications The 15 most recent articles highlight advancements in airborne ultrasound tactile displays, texture synthesis via GANs, and applications in guide dog training analysis, virtual reality, and interactive robotics. Key themes include dynamic pressure control , multi-stimulus integration , and low-latency systems . Collaborations Co-authored with Masahiro Fujiwara (43 papers) Collaborated with Hiroyuki Shinoda (145 papers) Worked with Shun Suzuki, Takaaki Kamigaki, and Ryoya Onishi on thermal and mechanical haptic feedback systems.

Andrew (Jamie) WoodView profile

Professor

• Mathematical Biology
• Collective Motion
• Microbiology
• +5 more

Professor Andrew (Jamie) Wood holds a joint appointment in Mathematics and Biology at the University of York, promoted to Professor of Mathematical Modelling in 2021 after serving as Senior Lecturer (2014) and Lecturer (2012). He chairs the Equality, Diversity and Inclusion Committee and co-founded the York Historical Warfare Analysis Group. His educational background includes undergraduate studies at Cambridge, a PhD at Imperial College, and a Royal Commission for the Exhibition of 1851 fellowship at Oxford where he transitioned from Mathematical Physics to biological applications. Earlier research involved Ising models and Daisyworld systems during a postdoc at Edinburgh's JCMB. Wood's research bridges computational mathematics with biological systems, focusing on collective motion dynamics (network interactions and noise effects), microbial ecology (metabolism, spatial structures, plasmid evolution), and unconventional domains like naval warfare modeling and glycosylation pathways . His work consistently applies stochastic modeling to evolutionary questions in symbiosis and translocation. Recent publications reveal an interdisciplinary trajectory spanning conservation biology (arthropod translocation), microbial evolution (plasmid-chromosome fitness tradeoffs), and sustainable biotechnology (cyanobacterial feedstocks). This reflects his core methodology of adapting statistical physics frameworks to biological complexity. Royal Commission for the Exhibition of 1851 fellowship RCUK Fellow (2007) Wood actively recruits PhD students for mathematics-biology interface projects and currently leads major grants including IMPROGLYC0 (EU-funded glycoform programming, 2025-2028) and BBSRC-funded glycan biosynthesis research (2024-2026). His group maintains collaborations with defense analysts through the Historical Warfare Analysis Group. He operates within York's Mathematical Biology and Chemistry Research Group, leveraging cross-departmental infrastructure for agent-based simulations of bacterial communities and warfare scenarios, with emerging work on fungal-cyanobacterial bioprocess engineering.

• Immersive Media
• Digital Storytelling
• Computer Science
• +3 more

Krzysztof Pietroszek is an Associate Professor in the Film and Media Arts Division of the School of Communication at American University. On sabbatical since May 2024, he explores intersections of filmmaking, game design, and computer science . His creative work includes pioneering volumetric (holographic) fiction films like "Vera" and award-winning VR games such as "Cube VR" and "Chessnaught VR". Education: Ph.D. in Computer Science, University of Waterloo, Canada M.F.A. in Film, York University, Canada His academic contributions span 60+ peer-reviewed papers (1100+ citations), focusing on immersive media, storytelling, and technology applications . He founded the Institute for IDEAS (Immersive Designs, Experiences, Applications, and Stories) at American University, leading initiatives that merge creativity with technological innovation. Recent publications address mixed reality communication , volumetric storytelling , and medical training systems , reflecting his expertise in VR/AR applications and 3D interaction design . Funded by institutions like the National Science Foundation and Canada Media Fund , his work bridges academic research and creative practice to redefine digital engagement. He teaches graduate courses in Film/Video Production & Direction (COMM-631) and Game Development II (GAME-625) , emphasizing hands-on immersive media creation.

• Urban Meteorology
• Climate Change
• Air Quality
• +3 more

Sylvia Bohnenstengel is a researcher at the University of Reading's Department of Meteorology, specializing in urban meteorology, climate change impacts, and air quality. Her work involves numerical weather prediction, boundary layer dynamics, and urban energy balance studies. Her research interests include: Urban heat island effects and mitigation Anthropogenic heat emissions Scalar dispersion in urban environments Climate change adaptation for cities Atmospheric turbulence and flow Surface energy balance parameterization Recent publications analyze: 2024: Urban heat flux evaluation via scintillometry 2024: Convective motions' impact on dispersion models 2022: Turbulence dynamics in idealized urban geometries 2018: Sea-breeze detection algorithms 2016: Urban heat island effects on health Multi-decadal urban climate modeling (2004-2015) She contributed to the ClearfLo project (2015) examining London's meteorology-air quality-health nexus, and participated in international urban energy balance model comparisons (2010-2011). Her work bridges meteorology, urban planning, and public health.

Betsy Dayana Marcela Chaparro RicoView profile

Lecturer

• Medical Robotics
• Assistive Robotics
• Service Robotics
• +3 more

Dr. Betsy Dayana Marcela Chaparro Rico is a Lecturer in Robotics at Swansea University's School of Mathematics and Computer Science, within the Faculty of Science and Engineering. She holds a Bachelor's degree (Honours) in Electronic Engineering from Unisangil University (Colombia, 2011), a Master's (2014) and PhD (2018) in Advanced Technology from Mexico's National Polytechnic Institute, and a PhD in Civil, Mechanical, and Biomechanics Engineering from the University of Cassino (Italy). Her research focuses on Medical Robotics, Assistive Robotics, and Sensor Systems, with notable contributions to rehabilitation devices and AI-driven gait analysis. Education: BEng (Honours) in Electronic Engineering, Unisangil University, Colombia (2011) MSc in Advanced Technology, National Polytechnic Institute, Mexico (2014) PhD in Advanced Technology, National Polytechnic Institute, Mexico (2018) PhD in Civil, Mechanical, and Biomechanics Engineering, University of Cassino, Italy (2018) Research Interests: Dr. Chaparro Rico's work spans Medical Robotics (e.g., exoskeletons, rehabilitation devices), Assistive Robotics (patient-specific orthosis design), and Sensor Systems for healthcare applications. She emphasizes translating theory into practice, particularly in robotics education and real-world solutions. Grants & Collaborations: Developed robotic rehabilitation systems funded by the National Polytechnic Institute's SIP program (e.g., teleoperated robots for high-pressure cleaning, 2017). Collaborated with institutions like the Clinical Research Institute IRCCS Neuromed (2019–2022) and CICATA Unit, National Polytechnic Institute, Mexico. Labs & Teams: Affiliated with the Biomechatronics Lab at IRCCS Neuromed and contributed to the IDENTUS research group at Unisangil University. Her work integrates interdisciplinary approaches to robotics and biomedical engineering.

• Quantum Computing
• Quantum Algorithms
• Quantum Error Mitigation
• +3 more

Yunseong Nam is an Adjunct Assistant Professor at the University of Maryland. His research focuses on advancing quantum computing through innovations in trapped-ion systems, quantum algorithms, and error mitigation techniques. He is particularly known for developing methods to enhance gate fidelity, optimize quantum circuits, and improve fermionic simulations for quantum chemistry applications. Research Interests: Nam’s work spans quantum hardware optimization, entangling gate implementation, and hybrid quantum-classical computing architectures. He emphasizes practical applications like materials science simulations and fault-tolerant protocols, leveraging symmetries and resource-efficient algorithms to address computational challenges. His contributions include breakthroughs in pulse engineering, SPAM error handling, and the design of robust quantum circuits. Key Research Trends: Recent articles highlight advancements in trapped-ion gate optimization (e.g., small-angle Mølmer-Sørensen gates), error mitigation strategies, and quantum circuit compilers. His work frequently intersects with experimental quantum systems, emphasizing real-world implementations over purely theoretical models. Awards & Grants: No specific awards or grants are mentioned in the provided texts. Labs & Teams: While specific lab affiliations are not detailed, his collaborations likely involve quantum computing hardware groups and theoretical teams focused on algorithm optimization.

Shuvra S. BhattacharyyaView profile

Professor

• Signal Processing
• Embedded Systems
• Biomedical Engineering
• +3 more

Shuvra S. Bhattacharyya is a Professor at the University of Maryland, College Park (UMD), Department of Electrical and Computer Engineering, with a joint appointment in UMIACS. He is also a part-time visiting professor at Tampere University (Finland) and INSA Rennes (France). His research focuses on signal processing systems, embedded systems, biomedical engineering, and machine learning. He has authored 7 books and over 300 papers, and directs the Maryland DSPCAD Research Group. He holds an NSF Career Award and is an IEEE Fellow. His honors include the Fulbright Senior Specialist and FiDiPro Professorship. He advises graduate students and leads projects in neural decoding, cyber-physical systems, and criminal justice AI. Education: B.S., University of Wisconsin-Madison Ph.D., University of California, Berkeley Research Interests: Signal processing architectures, biomedical circuits, embedded software, hardware/software co-design, and AI for healthcare and criminal justice. His work emphasizes real-time systems, energy efficiency, and interdisciplinary applications. Grants & Awards: NIH Grant for real-time neural decoding (2023) IEEE Fellow (2011) Jimmy Lin Entrepreneurship Award (2012) Labs & Teams: Maryland DSPCAD Research Group, collaborating on dynamic data-driven systems, neural interface technologies, and AI ethics in criminal justice. His work integrates academic and industrial partnerships, including roles at Hitachi America and Kuck & Associates.

• Autonomous Systems
• Artificial Intelligence
• Computer Vision
• +7 more

Dr. Yang Xing is a Senior Lecturer in Applied Artificial Intelligence for Engineering at Cranfield University's Centre for Autonomous and Cyberphysical Systems, where he also directs the HUMAX Lab focused on human-centered autonomous vehicle validation. He holds a PhD from Cranfield University (2018) and an MSc with Distinction in Control Systems from the University of Sheffield (2014). Previously, he was a Research Associate at the University of Oxford (2020-2021) and Research Fellow at Nanyang Technological University (2019-2020). His research centers on human-autonomy collaboration frameworks with four key pillars: Cognitive autonomous systems using trustworthy AI Computer vision for human behavior/intention modeling Multimodal foundation models for autonomous driving Deep learning for sustainable transportation systems His recent publications (2022-2025) demonstrate strong trends in AI-driven transportation research : 40% focus on trajectory prediction and behavior modeling, 30% on computer vision applications, 20% on human-AI collaboration frameworks, and 10% on energy optimization. Key thematic evolutions include increased use of transformer architectures, graph neural networks for interaction modeling, and simulation-to-real transfer learning. Awards and Honors: IEEE Outstanding Associate Editor Award (TNNLS 2023-2024) Best Paper Award, China National Intelligence Technology Conference 2019 IEEE Outstanding Service Award, Smart World Congress 2023 Best Workshop Paper, IEEE IV 2018 He currently advises PhD student Isa Ismail and has secured funding from the Royal Society, EPSRC, DSTL, SAAB, QinetiQ, and Thales. As lab director of HUMAX, he leads projects on human-AI teaming for autonomous systems.

Rishabh DabralView profile

Researcher

• 3D Computer Vision
• Computer Graphics
• Multi-Modal Interactions
• +6 more

Rishabh Dabral is a Research Group Leader at the Max Planck Institute for Informatics since August 2024, leading the "3D Visual Intelligence" group. He is also affiliated with the Research Training Group on Neuro-Explicit Models of Language, Vision, and Action at Saarland University. Expertise: 3D computer vision, computer graphics, human-object interaction modeling, and motion synthesis. Leadership: Conducts cutting-edge research on 3D human performance capture and physical plausibility in motion. His research focuses on: 3D human pose estimation under gravity constraints Multi-modal gesture synthesis using neural architectures Quantum auto-encoding for 3D representations Wearable robotics informed by human behavior Temporal dynamics in human-object interaction Recent publications at top venues like SIGGRAPH , CVPR , and ICCV demonstrate his work on: Music-driven motion synthesis Egocentric motion capture systems Reactive two-person interaction models Diffusion-based gesture generation Object-aware motion prediction Wearable robotic limb design

Vesa LinnamoView profile

Professor

• Sports Biomechanics
• Motor Control
• Neuromuscular Adaptation
• +3 more

Professor Vesa Linnamo is the head of the Vuokatti Sports Technology Unit at the University of Jyväskylä's Faculty of Sport and Health Sciences. He obtained his Ph.D. in Biomechanics from the same university in 2002. His research focuses on sports biomechanics, motor control, neuromuscular adaptation, and Nordic winter sports. With nearly 30 years of experience, he has supervised 11 completed PhD students and 5 ongoing ones. Linnamo has secured over €15 million in research grants, managed over 30 projects, and delivered 43 book chapters, 102 peer-reviewed articles, and numerous international lectures. He collaborates with institutions like the University of Gothenburg and Balgrist University Hospital. Current projects include CEMIS-UDDA, INSHAPE, and SmarTrack. His research emphasizes technology integration in sports performance, including high-precision GNSS for skiing analysis and markerless motion capture systems. He also explores physiological factors like hemoglobin mass adaptation in endurance athletes and carbohydrate intake optimization for cross-country skiers. Linnamo's work bridges applied biomechanics with real-world sport performance enhancement. Key grants include EU-funded INSHAPE (targeting sedentary lifestyles) and national projects like Elite Sport Data Strategy. His labs focus on winter sports technology, biomechanical analysis, and performance optimization. Over 28 years at the University of Jyväskylä, he has held leadership roles in academic administration and international congress organization.

Gulen OzkulaView profile

Assistant Professor

• Seismic Design
• Steel Structures
• Earthquake Engineering
• +4 more

Gulen Ozkula is an Assistant Professor of Civil Engineering at the University of the District of Columbia's School of Engineering and Applied Sciences. She specializes in seismic design, evaluation, and rehabilitation of steel structures, with a focus on steel columns and their behavior under extreme loading conditions. Her research integrates experimental methods, numerical modeling, and performance-based design principles to enhance structural resilience against earthquakes and seismic hazards. Education: Executive MBA, Istanbul University Post-Doctorate, Tokyo Institute of Technology Post-Doctorate, University of California, San Diego Ph.D., University of California, San Diego M.S., University of Illinois at Urbana-Champaign B.S., Celal Bayar University Research Interests: Ozkula’s work addresses critical challenges in seismic engineering, including cyclic stability of steel columns, high-performance steel materials, and seismic risk assessment. She explores innovative solutions for retrofitting existing structures and improving design codes through advanced testing methodologies and data analysis. Key Research Trends: Her publications emphasize experimental testing of steel beam-column subassemblages, field reconnaissance of recent earthquakes (e.g., Turkey 2023), and classification of buckling modes in steel columns. Findings often inform practical design guidelines and safety protocols for earthquake-prone regions. Grants & Advising: While specific grants are not listed, her active research program suggests involvement in funded projects related to seismic engineering. No current advisees are noted in the provided information. Labs & Teams: While not explicitly mentioned, her experimental work implies affiliation with structural testing facilities and interdisciplinary teams focused on earthquake engineering and materials science.