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Mike BarnesView profile

Professor

• Power Electronics
• High Voltage DC Transmission
• Offshore Wind Energy
• +3 more

Mike Barnes is Professor in the Power Conversion group at the University of Manchester's School of Electrical and Electronic Engineering. He holds a BEng and PhD from the University of Warwick and is a Fellow of IET, IEEE, and HEA. His research focuses on power electronics applications in HVDC transmission, offshore wind energy integration, smart grids, and energy storage optimization. He has supervised over 24 doctoral students and serves as Associate Editor for IEEE Transactions on Energy Conversion. Barnes investigates high-voltage power conversion technologies to enhance renewable energy utilization and grid stability. His work spans semiconductor-based systems, advanced control strategies, and multi-scale modeling to reduce costs and improve efficiency in energy infrastructure. Current projects include grid-scale storage interfacing and power electronic transformers. Recent publications demonstrate his focus on real-time simulation of energy storage, stability analysis of HVDC systems, and thermal management of power modules. This research addresses critical challenges in renewable integration and grid resilience. IEEE Transactions Prize Paper (2012-13) IEEE Transactions Energy Conversion Best Paper (2018-19)

• Scientific Computing
• GPU Computing
• Signal Processing
• +5 more

Professor Wes Armour is a Professor of Scientific Computing at the University of Oxford and serves as the Associate Head of Department for Research in the Department of Engineering Science. He previously directed the Oxford e-Research Centre, an interdisciplinary research center within the Engineering Science Department. With over £31 million secured as PI or Co-I, his work spans supercomputing, signal processing, machine learning, computational fluid dynamics, and protein crystallography. Professor Armour's research focuses on extracting science from data through fundamental challenges in modeling, simulation, and data processing. His work draws from numerical analysis, signal processing, and machine learning to develop technologies enabling future scientific discoveries, particularly for the Square Kilometre Array (SKA) telescope. Key interests include GPU computing, high performance computing, and machine learning applications across diverse domains from radio astronomy to finance. As Director and Principal Investigator of JADE and JADE2, a 700-GPU machine, he established the UK's first national High Performance Computer facility dedicated to advancing Artificial Intelligence and Machine Learning. His research group has pioneered GPU applications across multiple fields, including Square Kilometre Array data processing, protein crystallography, and graphene simulations. Current projects span energy-efficient machine learning, stock price prediction in finance, prime number prediction in cryptography, and multi-modal CCTV data analysis. Professor Armour has been instrumental in developing real-time signal processing techniques for astronomical observations, including the ARTEMIS system for millisecond radio transient detection. His publications demonstrate consistent innovation in GPU-accelerated computing dating back to early work in 2008 on accelerating conjugate gradient routines for electron transport in graphene.

• Thermal Propulsion Systems
• Air Quality
• Emission Reduction Technologies
• +3 more

Felix Leach is an Associate Professor of Engineering Science and Shell-Pocock Fellow at Keble College, University of Oxford. He holds a DPhil from Oxford (Oxon), is a Chartered Engineer (MIMechE), and a Fellow of the Higher Education Academy. His research focuses on thermal propulsion systems and air quality, with projects like Ammospray (green-ammonia propulsion) and OxAria (air pollution monitoring in Oxford). He collaborates with Jaguar Land Rover, Siemens, and local governments on emissions reduction and policy. Education: DPhil (Oxford), MEng. Awards include the 2021 ASME ICED Most Valuable Technical Paper Award and multiple SAE recognitions. He co-authored the prize-winning book *Racing Toward Zero: The Untold Story of Driving Green*. Research interests span engine efficiency, alternative fuels (hydrogen, ammonia), and public health impacts of emissions. He leads interdisciplinary projects combining experimental and computational methods, such as machine learning for flow field analysis and sensor networks for urban pollution monitoring. Grants include EPSRC, NIHR, and NERC funding. He advises on policy for Oxford City Council and serves as associate editor for the ASME Journal of Engineering for Gas Turbines and Power. His work bridges academic research, industry collaboration, and public engagement to address climate and air quality challenges.

Fikile R. BrushettView profile

Professor

• Electrochemical Energy Storage
• Redox Flow Batteries
• Electrochemistry
• +3 more

Fikile R. Brushett is a Professor and holds the Chevron Chair of Chemical Engineering at the Massachusetts Institute of Technology (MIT), within the Department of Chemical Engineering under the School of Engineering. His research focuses on electrochemical energy storage systems, particularly redox flow batteries, catalyst synthesis, and environmental applications like CO₂ capture. Brushett has received numerous accolades, including the Allan P. Colburn Award and Charles W. Tobias Young Investigator Award for his impactful publications. His work integrates experimental and computational methods to advance energy technologies, emphasizing sustainable materials and system optimization. He leads projects addressing global energy challenges through innovations in battery design, electrolyte development, and process modeling. Education: Ph.D. in Chemical Engineering, University of Illinois at Urbana-Champaign (2010) M.S.E. in Chemical Engineering, University of Illinois at Urbana-Champaign (2009) B.S.E. in Chemical Engineering, University of Pennsylvania (2006) Research: Brushett’s lab explores electrochemical energy conversion/storage, microfluidics, and interfacial phenomena. Key areas include redox flow battery optimization, scalable carbon materials for energy storage, and CO₂ capture via electrochemical methods. His team develops novel diagnostic tools (e.g., microelectrode sensors) and models for system efficiency. Awards: Over two dozen honors, including named chairs and fellowships from organizations like ACS and GEM. Notable recognitions include the 2024 Chevron Chair and 2022 AIChE Colburn Award. Grants & Labs: Active in MIT’s Electrochemical Energy Lab, focusing on grid-scale storage solutions. Collaborates on projects funded by DOE, industry partners (e.g., Chevron), and foundations. Leads initiatives in material sustainability and battery lifecycle analysis. Publications: Over 140 peer-reviewed articles (2022–2025) emphasize interdisciplinary innovations in energy storage, electrolyte design, and environmental electrochemistry. Recent work highlights advancements in non-aqueous systems, CO₂ capture, and Bayesian-optimized material synthesis.

Nilanjan SarkarView profile

Professor

• Human-Robot Interaction
• Human-Computer Interaction
• Robotics
• +6 more

Nilanjan Sarkar is the Vice Dean and Senior Associate Dean for Faculty Affairs at Vanderbilt University's School of Engineering, holding the David K. Wilson Professorship in Engineering. He is a Professor in Mechanical Engineering, Computer Engineering, and Computer Science. His research focuses on intelligent systems for human interaction, including robotics, virtual/augmented reality, and assistive technologies for neurodevelopmental disorders and aging populations. Education: PhD (Mechanical Engineering, University of Pennsylvania), ME (Indian Institute of Science), BE (Indian Institute of Engineering Science and Technology, Shibpur). Research interests span human-robot interaction, sensor fusion, and rehabilitation engineering. His lab develops systems for autism intervention, stroke rehabilitation, and elderly engagement through socially assistive robotics and VR/AR. Notable projects include robot-mediated therapy for children and AR telepresence systems for long-term care facilities. Labs/Teams: Robotics and Autonomous Systems Laboratory. Key contributions include CoMove, RASSLE, and the Career Interview Readiness in VR platform. His work emphasizes participatory design with end-users for ethical and inclusive technology.

Joachim ReuderView profile

Professor

• Meteorology
• Atmospheric Boundary Layer
• Wind Energy Meteorology
• +3 more

Joachim Reuder is a Professor and Research Group Leader at the Geophysical Institute, University of Bergen, affiliated with the Bjerknes Centre for Climate Research. His research focuses on turbulence in the atmospheric boundary layer, wind energy meteorology, and the application of drones for atmospheric measurements. He leads the Meteorology research group and collaborates with the Bergen Offshore Wind Centre. His work combines field observations with advanced simulations, emphasizing stable boundary layers, wind turbine wake dynamics, and lidar technology validation. Key projects include the ISOBAR Arctic field campaigns, COTUR offshore turbulence studies, and the SAMURAI-S drone-based turbulence investigation. Publications highlight contributions to lidar data analysis, boundary layer modeling, and wind energy applications. He has organized conferences and contributed to editorial roles, underscoring his influence in atmospheric science and meteorology.

Philip HemmerView profile

Professor

• Quantum Optics
• Quantum Computing
• Nanodiamonds
• +5 more

Philip Hemmer is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He holds a Ph.D. in Physics from MIT (1984) and a B.S. from the University of Dayton (1976). His research focuses on quantum optics, nanodiamond-based quantum sensing, and advanced optical materials for applications in quantum computing, biosensing, and thermal imaging. Key areas include solid-state quantum systems, upconversion nanoparticles, and fiber-optic sensor technologies. Dr. Hemmer's work spans interdisciplinary fields such as quantum communication, luminescent thermometry, and nanotechnology. His lab develops novel materials like GeV color centers in diamonds for high-precision sensing and explores applications in medical diagnostics, environmental monitoring, and fundamental physics. Awards include the National Science Foundation Fellowship and multiple AFOSR Star Team Awards. Education: Ph.D., Physics, Massachusetts Institute of Technology, 1984 B.S., University of Dayton, 1976 Awards: National Science Foundation Fellowship Summa Cum Laude, University of Dayton Air Force Research Laboratory Chief Scientist's Award AFOSR Star Team Award (three-time recipient) His recent publications emphasize quantum-enhanced biosensing, nanodiamond engineering, and fiber-optic quantum sensors. Research trends highlight innovations in thermal imaging using diamond defects, multiplexed sensing platforms, and scalable quantum technologies.

Tommy ChanView profile

Professor

• Structural Health Monitoring
• Bridge Engineering
• Moving Force Identification
• +2 more

Professor Tommy Chan is Chair in Civil Engineering at Queensland University of Technology's School of Civil and Environmental Engineering. With over $10M in research funding, his work focuses on structural health monitoring of bridges and infrastructure systems. His research group develops cutting-edge methods for assessing structural integrity using vibration analysis, optical sensors, and machine learning. Professor Chan leads major projects including the ARC-funded 'Next Generation Bridge Monitoring' initiative developing real-time monitoring systems for prestressed concrete bridges. His team's innovations include GNSS-based settlement monitoring and synergic identification methods for prestress force evaluation. Current research explores vehicle-bridge interactions, damage detection algorithms, and novel materials for impact protection. He has received numerous honors including the Vice Chancellors' Leadership Award and Top Supervisor Award. Professor Chan founded the Australian Network of Structural Health Monitoring and serves on editorial boards for multiple journals in structural engineering.

Duncan RobertsonView profile

Research Fellow

• Millimeter-Wave Radar
• Radiometry
• Imaging Technology
• +4 more

Prof Duncan Robertson is a Professorial Research Fellow at the School of Physics and Astronomy, University of St Andrews, Scotland. He holds a B.Sc. (Hons.) and Ph.D. in Physics from the same institution. His career has focused on millimeter-wave radar technologies with applications in environmental sensing, security systems, and battlefield systems. He leads the Millimetre Wave Group, specializing in radar imaging, radiometry, electron spin resonance instrumentation, and antenna design. Education: B.Sc. (Hons.) in Physics and Electronics, University of St Andrews (1991) Ph.D. in Millimetre Wave Physics, University of St Andrews (1991) Research Interests: Prof Robertson’s work spans millimeter-wave radar systems, including drone detection, glacier monitoring, sea clutter analysis, and holographic metasurfaces. His group develops technologies for security screening, environmental monitoring, and material characterization. Grants & Projects: Environmental Monitoring: Short Range Interferometric Synthetic Aperture Radar (InSAR) MuWMAS: Snowflake Scattering and Microstructure Analysis Drone Detection Radar Commercialization Labs/Teams: Leads the Millimetre Wave Group, collaborating on radar phenomenology and advanced sensor systems. Active in international radar conferences and experimental field trials.

Runming YaoView profile

Professor

• Building Sustainability
• Urban Microclimates
• Energy Efficiency
• +5 more

Professor Runming Yao is a leading academic in building and urban sustainability at the University of Reading's School of Construction Management and Engineering. He holds roles as Director of Design and Management of Sustainable Built Environments and Module Convenor for Sustainable Design and Management Principles. His research focuses on energy efficiency, urban microclimates, indoor environmental quality, and thermal comfort, with particular emphasis on UK and China contexts. Yao is an EPSRC College member and serves on editorial boards for journals like the Journal of Building Engineering and Renewable Energy . He has led numerous high-impact projects funded by bodies like the European Commission, EPSRC, and the Chinese government, addressing topics such as low-carbon cities, green building technologies, and climate-resilient urban design. His professional memberships include Fellowships of CIBSE, the Chartered Institute of Building, and FHEA. Yao’s work bridges engineering, policy, and environmental science, with contributions to international standards and guidelines for sustainable construction. Education and Qualifications: BSc, MSc, PhD Research Interests: Yao’s research integrates technical innovation with societal needs, exploring: - Energy-efficient building systems and urban-scale simulations, - Impact of climate change on building design, - Sensor technology for smart building management, - Health implications of indoor/outdoor environmental quality. His work emphasizes cross-disciplinary solutions for sustainable urban development and climate resilience. Projects and Grants: Recent initiatives include: - LoHCool (EPSRC-funded low-carbon heating/cooling of cities), - REELCOOP (EU-funded renewable energy cooperation), - Halton Foundation-funded studies on school ventilation. He has secured over £10M in research funding, spanning academic and industry partnerships. Awards and Recognition: While no formal awards are listed, Yao’s leadership in global sustainability networks and his role in shaping policy frameworks reflect his significant influence in the field. Labs and Collaborations: He leads the Energy and Environmental Research Group and collaborates internationally with institutions like Chongqing University, Cambridge University, and the China Green Building Council. His work frequently involves cross-border initiatives to address climate challenges in rapidly urbanizing regions.

• Optics
• Visual Sciences
• Medical Optics
• +3 more

Sergio Barbero is an Associate Researcher at the Visual Optics laboratory of the Instituto de Óptica (CSIC), Spain, under the supervision of Prof. Susana Marcos. He holds a BSc in Physics from the University of Zaragoza (1999) and a PhD in Visual Sciences from the University of Valladolid (2004), which earned him the Doctoral Thesis Extraordinary Award (2005). His research focuses on optical aberrations, intraocular lens design, wavefront measurement techniques, and gradient-index modeling of ocular structures. Barbero has collaborated with international groups at Indiana University (USA), University of Houston (USA), and Australian institutions. His work includes pioneering studies on crystalline lens tomography, corneal ablation algorithms, and novel wavefront sensing methods. He has authored 16 peer-reviewed publications and contributed to a US patent on wavefront reconstruction techniques. His research spans three core areas: (1) intraocular lens design using analytical tools, (2) gradient-index modeling of the human eye, and (3) in vivo measurement of crystalline lens aberrations. He has secured grants from the Spanish government (I3P-CSIC), NIH (USA), and Fulbright fellowships. Barbero has presented 33 scientific talks/posters, including invited lectures, and maintains an h-index of 9. His work bridges fundamental optics with clinical applications in ophthalmology.

• Carbon Nanotubes
• Graphene
• Nanomaterials
• +3 more

Paola Ayala is a Professor at the Faculty of Physics of the University of Vienna, specializing in the Electronic Properties of Materials . Her research focuses on nanomaterials, particularly carbon nanotubes, graphene, and carbyne, exploring their electronic, magnetic, and optical properties. She leads the Doctoral College Advanced Functional Materials (DCAFM) (2020–2025), fostering interdisciplinary training in nanotechnology. Key research areas include nitrogen doping of carbon nanotubes, magnetic coupling in nanoclusters, and sensor applications of nanocomposites. She has pioneered studies on confined carbyne synthesis and the environmental stability of 1D nanocarbons. Ayala’s work bridges theoretical modeling (e.g., DFT simulations) and experimental techniques like Raman spectroscopy and XPS analysis. Her 2017 Matilde Hidalgo Prize recognizes contributions to nanomaterials science. She actively promotes STEM equity, co-authoring reports on women in physics in Austria and Ecuador. Ayala has supervised over 97 publications since 2007, with recent emphasis on functional nanomaterials for energy, sensing, and biomedical applications. Notable projects include developing flexible formaldehyde sensors and investigating magnetic properties of iron nanoclusters. She collaborates globally, presenting at conferences like the 2024 UNIVIE NanoteC Symposium and the 2023 International Nanotechnology Congress.

Guanrui LiView profile

Assistant Professor

• Aerial Robotics
• Control Systems
• Robot Perception
• +3 more

Guanrui Li is an Assistant Professor at Worcester Polytechnic Institute's Robotics Engineering Department and the director of the Aerial-robot Control and Perception Lab (ACP Lab). He holds a Ph.D. in Electrical and Computer Engineering from NYU (2024), an M.S. in Robotics from the University of Pennsylvania (2018), and a B.E. in Theoretical and Applied Mechanics from Sun Yat-sen University (2016). His research focuses on aerial robotics, including control methodologies for collaborative transportation, human-robot interaction, and perception-aware systems. Key contributions include Hybrid Perception-Aware MPC frameworks, cooperative manipulation algorithms, and simulation tools like RotorTM. Education: Ph.D., Electrical and Computer Engineering, NYU (2024) M.S., Robotics, University of Pennsylvania (2018) B.E., Theoretical and Applied Mechanics, Sun Yat-sen University (2016) Research Interests: Control and perception of aerial robots, human-robot collaboration, cooperative manipulation, and autonomous systems. Notable work addresses challenges in payload transportation, sensor fusion, and safety-critical navigation. Awards: NSF CPS Rising Stars (2023) Outstanding Deployed System Paper Finalist (IEEE ICRA 2022) NYU Dante Youla Award (2022) NYU Outstanding Dissertation Award (2024) Lab & Team: ACP Lab focuses on advancing aerial robotics through interdisciplinary research. Current projects include mixed reality interfaces for human-robot interaction and fault-tolerant control systems. Recent collaborations include workshops on Rust for Robotics (ICRA 2025) and embodied-AI for aerial systems (ICUAS 2025).

Daniel KühbacherView profile

Tutor

• Environmental Monitoring
• Greenhouse Gas Monitoring
• Urban Emissions
• +3 more

Daniel Kühbacher is a Tutor and researcher at the Chair of Environmental Sensing and Modeling at Technische Universität München (TUM). He specializes in developing high-resolution urban emission inventories for CO2, CH4, and co-emitted species, and leads the setup of a 100-sensor CO2 network in Munich to assess sector-specific emission factors. His work bridges environmental monitoring, sensor technology, and urban climate science. Teaching roles include tutoring the Environmental Sensing and Modeling lecture and advanced seminar, as well as the joint practical course Gemeinschaftspraktikum MST . Research focuses on integrating traffic simulation data, mobile measurement units, and flux footprint modeling to quantify urban greenhouse gas emissions. Education: M.Sc. in Environmental Engineering Affiliations: Member of the ICOS Cities project and contributor to the ICOS Science Network Publications emphasize urban GHG monitoring innovations, including sensor network optimization, flux measurement validation, and inventory intercomparison studies. His work supports policy-relevant insights into emission hotspots and mitigation strategies. Currently develops the SCOUT project for street-level carbon observatories and explores human respiration emissions using mobile network data.

• Artificial Intelligence
• Neuroscience
• Biomechanics
• +3 more

Dr. Yonatan Hutabarat is a Professor at Universität Bonn, holding the Hertz-Chair for Artificial Intelligence and Neuroscience. He is affiliated with the Center for Artificial Intelligence and Neuroscience (CAIAN) and focuses on interdisciplinary research at the intersection of AI, neuroscience, and biomechanics. His work emphasizes wearable sensor technology and machine learning applications in gait analysis, posture coordination, and human movement modeling. Research interests include neural network-based gait phase estimation, biomechanical modeling under cognitive loads, and sensor integration for healthcare applications. His research has explored temporal convolutional networks, LSTM architectures, and reinforcement learning for prosthetic control. He has published extensively on quantitative gait assessment using minimal IMU sensors, virtual reality experiments, and multimodal data fusion techniques. Affiliations include CAIAN's interdisciplinary team and active participation in collaborative projects involving neuroscience and clinical applications. His laboratory work involves developing AI-driven solutions for movement disorders and wearable sensor systems. No formal awards or grants are explicitly listed, though his research indicates substantial collaborative activity. Current address: Raum 4.06, Am Propsthof 49, 53121 Bonn. Contact: y.hutabarat@uni-bonn.de