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Bradley HayesView profile

Associate Professor

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +5 more

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

Bastian PfauView profile

Researcher

• X-ray Holography
• Magnetic Imaging
• Ultrafast Dynamics
• +5 more

Dr. Bastian Pfau serves as Department Head of the “Imaging and Coherent X-rays” (B2) division and Project Coordinator for “Transient Structures and Imaging with X-rays” at the Max Born Institute in Berlin, where he has conducted postdoctoral research since 2016. His work pioneers nanoscale magnetic imaging using coherent X-ray techniques, with significant contributions to ultrafast magnetization dynamics and topological spin structures. His academic foundation includes a Dr. rer. nat. (PhD) in Physics from Technical University Berlin (2013) with thesis “Imaging magnetic nanostructures using soft x-ray Fourier transform holography,” and a Diplom (MSc) in Physics from Technical University Dresden (2006) focused on “Combining photon correlation spectroscopy and fluctuation analysis for investigating diffusion dynamics.” Additional research experience spans Lund University (2014-2015), Technical University Berlin (2010-2013), and Helmholtz Center Berlin (2006-2010). Dr. Pfau’s research centers on developing and applying X-ray holography and coherent diffraction imaging to visualize magnetic nanostructures at nanometer-femtosecond scales. His group specializes in ultrafast magnetization dynamics , skyrmion imaging , and element-specific magnetic probing using soft X-rays. Key innovations include achieving 5 nm resolution magnetic imaging and demonstrating all-optical helicity-independent switching via plasmonic nanostructures, with applications in next-generation spintronic devices and magnetic storage technologies. Analysis of his 15 most recent publications reveals dominant themes in nanoscale magnetic imaging (particularly skyrmions and topological textures), ultrafast opto-magnetic effects using extreme ultraviolet radiation, and advanced X-ray methodologies for capturing transient magnetic states. His work consistently bridges fundamental physics with practical instrumentation development, as evidenced by contributions to laser-driven plasma sources and tabletop X-ray setups. As Department Head of B2, Dr. Pfau leads a multidisciplinary team operating cutting-edge X-ray microscopy facilities at MBI. The group maintains strong collaborations with international synchrotron facilities (including BESSY II) and free-electron laser centers, focusing on developing MHz-repetition-rate pump-probe capabilities and high-resolution magnetic imaging techniques. Current projects emphasize real-time visualization of light-induced phase transitions and magnetic switching phenomena in functional materials.

Rudie P.J. KunnenView profile

Associate Professor

• Turbulent Flow
• Multiphase Flow
• Heat Transfer
• +7 more

Rudie P.J. Kunnen is an Associate Professor at the Faculty of Applied Physics and Science Education , Eindhoven University of Technology, leading the Turbulent and Multiphase Flows group. His research focuses on heat, mass, and particulate transport in turbulent flows, with applications in geophysics and industry. Active in UN Sustainable Development Goals related to environmental protection Collaborator in projects like Active Contamination Control for Equipment and SubstrateS Research Interests : Turbulent flow dynamics, rotating convection, vortex structures, thermophoresis, plasma-liquid interactions, and geostrophic turbulence. His work combines experimental and numerical approaches (e.g., direct numerical simulation, particle image velocimetry). Scientific Awards : NWO Vici Prize (2024) Advising and Collaborations : Supervised multiple BSc and MSc theses at TU/e. Collaborates with researchers like F. Toschi and H.J.H. Clercx on turbulence projects.

Geoffrey HandsfieldView profile

Assistant Professor

• Biomedical Imaging
• Rehabilitation Engineering
• Musculoskeletal Biomechanics
• +4 more

Geoffrey Handsfield is an Assistant Professor at the University of North Carolina at Chapel Hill, holding appointments in the Department of Orthopaedics and the Lampe Joint Department of Biomedical Engineering. His work integrates advanced medical imaging, computational modeling, and mechanical experimentation to improve clinical orthopaedic medicine and understand musculoskeletal form and function. Educated at East Carolina University (B.S. Physics, Summa Cum Laude with Mathematics Minor), the University of Virginia (Ph.D., Biomedical Engineering), and as a Whitaker Postdoctoral Scholar at the University of Auckland, his research focuses on musculoskeletal MRI, computational modeling of muscle-tendon interactions, and pediatric cerebral palsy rehabilitation. Education: Ph.D., Biomedical Engineering, University of Virginia, 2014 Postdoctoral Fellowship, Auckland Bioengineering Institute, 2014–2016 (Whitaker Scholar) B.S., Physics (Summa Cum Laude), Mathematics Minor, East Carolina University, 2008 Research Interests: Dr. Handsfield’s lab pioneers techniques like ultra-high contrast MRI and 3D ultrasound to study muscle-fascia interactions, tendon mechanics, and pediatric cerebral palsy. Key areas include: Image-based computational models for personalized musculoskeletal analysis Muscle architecture and regeneration in children and athletes Biomechanical interventions for cerebral palsy rehabilitation Non-invasive muscle profiling for clinical decision-making Awards: Aotearoa Early Career Research Fellow, Robertson Foundation Early Career Research Award, Australia-New Zealand Orthopaedic Research Society Whitaker Postdoctoral Scholar Academic All-American in Swimming & Diving (2007–2008) Advising & Grants: While specific grant details are not listed, his lab’s focus on pediatric cerebral palsy and musculoskeletal modeling suggests involvement in NIH-funded or foundation-sponsored research. No formal advisees are listed in the provided data. Labs & Teams: His interdisciplinary lab collaborates with clinicians and engineers to translate imaging and modeling innovations into clinical practice, focusing on tools like the dSIR MRI sequence and high-dimensional muscle clustering for athlete and pediatric populations.

• Flow Battery
• Desalination
• Redox Flow Battery
• +4 more

Kyle C Smith serves as Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois' Grainger College of Engineering, with a secondary appointment at the Beckman Institute for Advanced Science and Technology. His academic profile reflects a strong research focus at the intersection of electrochemical engineering and environmental technology development. Dr. Smith's research interests center on electrochemical systems for energy and water applications , with particular expertise in flow battery technology, desalination processes, and porous electrode engineering. His work bridges fundamental electrochemical principles with practical engineering solutions for sustainable technologies, as evidenced by his fingerprint analysis showing strong connections to flow battery systems (100%), desalination (92%), and redox flow batteries (89%). Analysis of his recent publications reveals a clear trajectory toward optimizing electrochemical systems for water treatment applications, with increasing focus on desalination technology since 2023. His work demonstrates consistent innovation in electrode design, flow field optimization, and energy efficiency improvement across electrochemical systems. Scientific recognition includes: ISE-Elsevier Prize for Applied Electrochemistry (2018), widely covered by 10+ news outlets and social media platforms His research has received significant media attention, with two major press features: 'New research helps eliminate dead zones in desalination technology and beyond' (January 2025) and 'Mechanical engineers lend fresh insight into battery-based desalination technology' (June 2023), indicating strong translational impact of his work. The research group maintains active collaboration networks spanning multiple institutions and countries as shown in the research network visualization. Dr. Smith's laboratory focuses on advanced electrochemical systems development, particularly investigating novel approaches to porous electrode design and flow management for applications in both energy storage and water treatment technologies. His recent work on tapered interdigitated channels and micro-interdigitated flow fields represents innovative engineering solutions to longstanding challenges in electrochemical reactor design.

Adín Ramírez RiveraView profile

Professor

• Computer Vision
• Machine Learning
• Representation Learning
• +6 more

Adín Ramírez Rivera is a Professor in the Digital Signal Processing and Image Analysis (DSB) group at the Department of Informatics, University of Oslo. His research focuses on representation learning and computer vision, particularly exploring machine learning methods to describe and understand visual data. He is a Senior Member of the IEEE and a member of the ELLIS Society. Education : PhD from Kyung Hee University's Image Processing Lab, South Korea; Bachelor's degree in Engineering from Universidad de San Carlos de Guatemala, majoring in Computer Science and Systems Engineering. Ramírez Rivera's research spans diverse computer vision tasks including facial analysis, object detection, image enhancement, and vision transformers. His work emphasizes self-supervised learning, fair representation learning, and novel neural network architectures for image segmentation and classification. Recent publications highlight trends in vision transformers, crowd counting, facial expression recognition, and fair representation learning. His articles frequently address statistical modeling, feature extraction, and deep learning techniques for visual tasks. Scientific Awards : Senior Member of the IEEE, Member of the ELLIS Society. He collaborates with researchers across institutions, contributing to projects involving anomaly detection, multilingual translation, and astrophysical modeling. His lab affiliations include the Digital Signal Processing and Image Analysis group and the Section for Machine Learning at the University of Oslo.

Anders BjörnView profile

Professor

• Nonlinear Potential Theory
• Analysis on Metric Spaces
• Differential Equations
• +3 more

Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.

Vivienne SzeView profile

Professor

• Energy-Efficient Machine Learning
• Computer Vision
• Video Compression/Processing
• +7 more

Vivienne Sze is a Professor at MIT's Department of Electrical Engineering and Computer Science (EECS), part of the School of Engineering. Her research focuses on energy-efficient computing systems for machine learning, computer vision, and video compression, with applications in autonomous systems, healthcare, and IoT. She leads projects integrating algorithmic innovations with hardware design to achieve low-power solutions for embedded and mobile devices. Her work has been recognized through prestigious awards, including the Primetime Engineering Emmy Award for co-developing the HEVC video compression standard and multiple faculty awards from tech giants like Google and Qualcomm. She co-authored the book *Efficient Processing of Deep Neural Networks*, emphasizing practical hardware-software co-design strategies. Research Interests: Energy-Efficient Machine Learning Accelerators Video Coding and Compression Standards Embedded Systems and Mobile Computing Processing-in-Memory (PIM) Architectures AI for Health Monitoring and Digital Health Sustainability in AI Infrastructure Publications highlight trends in: Optimizing DNNs for edge devices Innovations in entropy coding and CABAC Memory-efficient Gaussian-based algorithms Energy-aware design for photonic computing Awards include IEEE conference best paper awards and industry recognitions for her contributions to video coding and hardware acceleration. Her lab's collaborative efforts span academia and industry, aiming to bridge theoretical research with real-world deployable systems.

Eric GamessView profile

Associate Professor

• Network Performance Evaluation
• IPv6
• Cybersecurity
• +4 more

Eric Gamess is an Associate Professor in the Department of Mathematical, Computing, and Information Sciences at Jacksonville State University (JSU), Alabama. He holds a Ph.D. in Computer Science from the Central University of Venezuela (2000), an M.Sc. in Industrial Computing from INSA Toulouse (1989), and an Engineering Degree in Automatics, Computer Science, and Electronics from the same institution (1989). His academic career spans roles at universities in South America and the U.S., including Universidad del Valle (Colombia) and the University of Puerto Rico. Dr. Gamess specializes in network performance evaluation, cybersecurity, vehicular networking, and IoT. He has authored over 80 publications, edited 27 conference proceedings, and directs the Venezuelan Journal of Computing. His leadership roles include Vice-President of the Venezuelan Society of Computing and steering committee member of the ACM Southeast Conference. At JSU, he leads the Center of Academic Excellence in Cyber Defense Education (CAE-CD) and coordinates the Master of Science in Computer Systems and Software Design (CSSD) program. His research emphasizes network simulation, IPv6, and embedded systems performance (e.g., Raspberry Pi). Recent work explores containerization technologies, MQTT resilience, and IoT protocol optimizations. He teaches courses ranging from programming fundamentals to advanced cybersecurity and networking.

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

Jörg Müller is a Professor in the Department of Computer Science at the University of Bayreuth, Germany. His research focuses on Human-Computer Interaction (HCI), Virtual Reality (VR), and Augmented Reality (AR), with a strong emphasis on interaction techniques, public displays, and multimodal interfaces. He has held academic positions at multiple institutions including Aarhus University, HIIG, and RWTH Aachen University. His work spans technical contributions in haptic interfaces, biomechanical modeling, and user behavior analysis in VR environments. Notable projects include OptiTrap for acoustic levitation displays, SIM2VR for biomechanical testing in VR, and the boomRoom system for mid-air sound interaction. Müller collaborates extensively with industry partners like Telekom Laboratories and Siemens. Research interests include: interaction design for immersive environments, embodied interaction, and the social impact of extended reality technologies. His publications demonstrate leadership in CHI, UIST, and IEEE Visualization venues, with over 120 peer-reviewed articles since 2006. Current research priorities include optimizing VR workspace ergonomics, developing tactile feedback systems for mid-air interaction, and exploring public display networks for urban environments. Müller leads the Interactive Systems group at Bayreuth, supervising PhD students in VR engineering and spatial computing.

P. Michael KosroView profile

Professor

• Coastal Oceanography
• Ocean Circulation
• Remote Sensing
• +3 more

P. Michael (Mike) Kosro is a Professor at Oregon State University, specializing in coastal oceanography and physical oceanography. His work focuses on shelf/deep-sea exchange processes, eastern boundary currents, and the application of remote sensing and ocean acoustics to study ocean circulation. He holds a BA in Physics from the University of California, Santa Cruz (1973) and a PhD in Physical Oceanography from Scripps Institution of Oceanography (1985). Education: BA, UC Santa Cruz (Physics, 1973); PhD, Scripps Institution of Oceanography (1985) His research interests include coastal eddies, poleward undercurrents, and the use of HF radar for surface current mapping. He has contributed to major projects such as GLOBEC (Global Ocean Ecosystems Dynamics) and COAST (Coastal Ocean Advances in Shelf Transport). His work integrates observational data with numerical models to understand coastal circulation dynamics and their environmental impacts. Publications span over 40 years, addressing topics like mesoscale currents, El Niño effects, and the role of physical oceanographic processes in species distribution (e.g., invasive European green crab). His recent work emphasizes long-term data integration and interdisciplinary collaboration in ocean observing systems. Dr. Kosro’s research also explores the interplay between oceanography and marine ecosystems, including carbon transport and biogeochemical cycles. He collaborates with international teams to advance regional ocean observing networks, as seen in studies of the Northeast Pacific.

• Assistive Technology
• Computer Vision
• Human-Computer Interaction
• +2 more

Maria Paola Forte is a Doctoral Researcher at the Max Planck Institute for Intelligent Systems, working across the Haptic Intelligence and Perceiving Systems departments. She holds a BSc in Biomedical Engineering from the University of Genova and an MSc in Bioengineering from Politecnico di Milano. Her PhD research focuses on developing interdisciplinary assistive technologies, particularly for sign language capture, combining computer vision with sensor-based approaches. Her research interests center on creating technology for people with sensory or motor deficits, with applications in robotic surgery and human-computer interaction. Key areas include assistive device development, motion capture systems, and haptic feedback interfaces. Her work leverages expertise in biomedical engineering, machine learning, and real-time systems. Publications consistently demonstrate interdisciplinary work in surgical robotics and accessibility technology. Recent articles show a progression toward human-centered applications of computer vision, with emerging focus on wearable bioimpedance sensing and avatar reconstruction for sign language.

Melody BaglioneView profile

Professor

• Sustainability in Engineering
• Control Systems
• STEM Education
• +6 more

Professor Melody Baglione is a Professor and George Clark Chair of Mechanical Engineering at The Cooper Union's Albert Nerken School of Engineering. She holds a PhD and M.S.M.E. from the University of Michigan and a B.S.M.E. from Michigan Technological University. Her work focuses on integrating sustainability into engineering education, control systems, and STEM outreach for children with special needs. She leads NSF and NYSERDA-funded projects to enhance energy efficiency in building systems and developed the Interactive Light Studio to promote STEM engagement. Education: Ph.D. & M.S.M.E (University of Michigan), B.S.M.E (Michigan Technological University) Research interests include sustainable control systems, automotive powertrain optimization, structural dynamics, and educational technology for underserved youth. Her awards include the NSF Graduate Research Fellowship and SAE Ralph R. Teetor Educational Award. She teaches courses such as Feedback Control Systems and Acoustics, Vibration, and Noise Control. Recent projects involve optimizing HVAC systems in 41 Cooper Square (LEED Platinum), designing interactive installations for pre-K students with hearing impairments, and advancing energy master planning for academic buildings.

Bernard Z. KeoView profile

Assistant Professor

• Decolonization
• Nation-Making
• Urban History
• +7 more

Bernard Z. Keo is an Assistant Professor specializing in modern Southeast Asian history, focusing on decolonization, nation-making, and transnational networks. His research bridges historical analysis with digital humanities, notably through projects like Virtual Angkor, which earned prestigious awards. He holds a PhD in Southeast Asian History from Monash University. His thematic expertise spans nationalism, urban-rural dynamics, state-building, and identity politics, with geographical focus on China, Indonesia, Malaysia, and Singapore. Keo's work explores intersections of race, class, gender, and migration in post-WWII contexts, particularly in port-cities like George Town. He also contributes to digital pedagogy, using courtroom simulations to engage students in humanities education. Keo serves on editorial boards for journals like Asian Studies Review and History Australia , and advises Channel News Asia on historical matters. His recent publications include a forthcoming book on Peranakan cosmopolitanism (Oxford UP, 2025) and articles on colonial urban networks, diasporic identities, and Malayan Emergency historiography. Awards: Roy N. Rosenzweig Prize (2018), Medieval Society's Digital Humanities Prize (2021) Key Projects: Virtual Angkor (2018–present), Norris Embassy digital project (2018–2019)

Hyune-Ju KimView profile

Professor

• Statistics
• Biostatistics
• Regression Analysis
• +3 more

Hyune-Ju Kim is a Professor of Mathematics at Syracuse University's College of Arts & Sciences, affiliated with the Applied Statistics program. Her research focuses on change-point problems, resampling tests, regression model selection, sequential analysis, and statistical applications in genetics. She holds a Ph.D. in Statistics from Stanford University (1988) and a B.S. in Mathematics from Seoul National University (1983). Recent work emphasizes advancements in Joinpoint regression software, including model selection methodologies for health data analysis. Her contributions address complex survey data challenges and longitudinal medical trend studies. She has served on multiple departmental committees, including executive roles in faculty search committees and graduate programs. Teaching responsibilities include advanced statistics courses such as MAT 652 Probability & Statistics II, MAT 654 Linear Models, and MAT 750 Statistical Consulting. Her service roles include statistics liaison for Syracuse University Project Advance and leadership in curriculum development.