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Dr. Yurii Vlasov is a Professor at the University of Illinois at Urbana-Champaign , holding tenured positions in Electrical and Computer Engineering, Physics, Bioengineering, and Materials Science and Engineering. He serves as the John Bardeen Endowed Chair and is Inaugural Professor at the Carle Illinois College of Medicine. At UIUC, he founded the Integrated Neurotechnology Lab , focusing on silicon-based neural probes, in vivo neurobiology, and machine learning for neural datasets. Prior to academia, he led IBM's Silicon Nanophotonics project for 15 years, driving its commercialization for datacenters. Education: MS in Biophysics (1988, University of St.-Petersburg), PhD in Physics (1994, Ioffe Institute) His research spans three threads: Neuro-engineering (nanofluidic/neurophonic probes), Neuro-biology (in vivo brain activity mapping), and Neuro-informatics (machine learning for neural networks). Recent work in ACS Nano and Lab on a Chip demonstrates attomole-level neurochemical detection using silicon nanofluidics. His innovations in droplet microfluidics and optogenetics have been featured in over 100 invited talks and 300+ patents. Scientific awards include National Academy of Engineering membership , Scientific American's Scientist of the Year , and multiple IBM Technical Achievement Awards . He is a Fellow of APS, IEEE, and OSA. Dr. Vlasov teaches core courses in semiconductor devices, silicon photonics, and neural interface engineering. His lab's silicon microfluidic platforms have enabled breakthroughs in neurochemical sampling and implantable probe fabrication, supported by NIH BRAIN Initiative grants (UF1NS107677, RF1NS126061).

• Neuroengineering
• Integrated neural probes
• Neurophotonics
• +17 more

Maria Giannaccini is an Honorary Lecturer at the School of Engineering, University of Aberdeen. Her research focuses on soft robotics, rehabilitation systems, and bioinspired designs, often integrating control systems and human-robot interaction principles. Research Interests: Soft Robotics for Medical Applications Control Systems in Pneumatic Actuators Bioinspired Robotic Simulators Tactile Sensing and Haptic Feedback Human-Robot Cognitive Interaction Recent publications highlight advancements in wearable rehabilitation devices, neural network-based actuator control, and auditory-induced perceptual distortions in robot motion prediction. Her work spans both theoretical and applied robotics, with collaborations across engineering and medical disciplines. Key Article Trends: Soft Robotics: 40% of publications Rehabilitation & Medical Robotics: 30% Control Systems & AI: 25% Human-Robot Interaction: 20% Biomimetic Sensors: 15%

• Soft Robotics
• Rehabilitation Robotics
• Bioinspired Robotics
• +3 more

Johannes Potzy is a researcher at the Chair of Ergonomics, Technical University of Munich (TUM), specializing in human factors within automated driving systems and haptic interface design. His work bridges engineering and human-centered design to optimize safety and efficiency in human-vehicle interactions. His primary research spans automated driving, human factors, ergonomics, robotics, and haptic interfaces. He investigates driver behavior during automated merging in dense traffic, develops communication strategies between autonomous vehicles and human drivers, and explores octopod kinematics for advanced haptic feedback systems. This interdisciplinary approach addresses critical challenges in transportation psychology and human-machine collaboration. Recent publications reveal a strong focus on human-centered automation in traffic scenarios, particularly trajectory planning and merging behaviors. His work integrates transportation engineering with cognitive psychology, emphasizing real-world applicability in highway systems. Earlier research extends to robotics, where octopod-based haptic interfaces demonstrate applications in healthcare and human-computer interaction. Potzy conducts research within TUM's specialized laboratories including the Dynamical Mock-Up, Modular Ergonomic Mockup, Robotics lab, and Static Driving Simulator. These facilities enable experimental validation of ergonomics principles in cabin design, automated driving, and human-robot interaction scenarios, supporting both academic research and industry collaboration.

• Automated Driving
• Human Factors
• Ergonomics
• +2 more

Davide Filingeri is an Associate Professor at the University of Southampton, affiliated with the Skin Sensing Research Group. With over a decade of expertise in human thermosensing and thermoregulation, his work bridges fundamental and applied physiology, focusing on health and disease contexts. BSc & MSc in Exercise Physiology, University of Palermo PhD in Thermal Physiology, Loughborough University Postdoctoral fellowships: University of Sydney (Endeavour Fellowship), UC Berkeley (US Dept. of Energy funding) His research explores the biophysical and neural mechanisms of skin temperature and wetness sensing, their role in thermoregulation, and how neurodegenerative conditions like multiple sclerosis impair these processes. He integrates enterprise principles into his work, collaborating with sportswear and hygiene product manufacturers to address real-world thermal comfort challenges. Recent publications examine thermal sensitivity mapping, heatwave responses, and device-skin interactions. His lab (THERMOSENSELAB) has secured funding from the Medical Research Council and EPSRC. Vice-Chancellor’s Lectureship (2016) Endeavour Research Fellowship (2015) Sport and Exercise Beacon Prize (2019) Davide supervises PhD students in Health Sciences and speaks globally on thermal physiology, including roles as reviewer for IEEE Haptics Symposium and presenter on climate change impacts on neurophysiology.

• Thermal Physiology
• Neurophysiology
• Human Thermoregulation
• +5 more

Anirban Mazumdar is an Assistant Professor at the Georgia Institute of Technology's College of Engineering, specifically within the Woodruff School of Mechanical Engineering. He directs the Dynamic Adaptive Robotic Technologies (DART) Lab, focusing on agile robot mobility in unstructured environments. His research integrates biomechanics, robotics, and machine learning to develop energy-efficient systems. Position: Assistant Professor of Mechanical Engineering Institution: Georgia Institute of Technology Laboratory: Dynamic Adaptive Robotic Technologies (DART) Lab Email: anirban.mazumdar@me.gatech.edu His work spans multiple specialized subfields including: Autonomous drilling systems and sensor fusion Exoskeleton design for human performance enhancement Deep learning applications in biomechanics tracking Adaptive motion planning algorithms Energy-efficient robotic actuators Current research trends emphasize the integration of machine learning with physical robotic systems, particularly for: Human-centric adaptive technologies Mobile robot payload transportation Subsurface drilling automation Underwater inspection robotics Wearable sensor development Maneuverability in constrained environments Contact Information Email: anirban.mazumdar@me.gatech.edu Phone: 404.385.8061 Office: Callaway Building 432

• Robot Mobility
• Human-Robot Interaction
• Autonomous Systems
• +4 more

Jan O. Borchers is a Professor at RWTH Aachen University's Media Computing Group within the Faculty of Mathematics, Computer Science and Natural Sciences. He also maintains an affiliation with Stanford University's Computer Science Department. His research spans multiple areas of Human-Computer Interaction with particular focus on tangible interfaces, smart textiles, and deceptive design patterns. His research interests center around innovative interaction techniques, particularly in the domains of wearable computing, smart textiles, and spatial user interfaces. Borchers has pioneered work in textile-based interfaces, exploring how fabrics can serve as input devices, and has recently focused on deceptive design patterns (dark patterns) and how to defend against them. His work bridges the gap between physical materials and digital interaction, creating novel user experiences that leverage the properties of textiles and other materials. His recent publications show a clear trend toward understanding and combating deceptive interface designs while continuing innovation in textile-based interaction. The research spans from fundamental perception studies to practical design tools, with applications ranging from smart homes to educational technologies for children. Borchers has been instrumental in developing frameworks for understanding deceptive patterns in interfaces, creating countermeasures, and building educational tools to increase user awareness. His work with children assessing deceptive designs represents an important contribution to understanding how different age groups perceive and interact with potentially manipulative interfaces. His academic advising has produced numerous PhD and Master's students who have become active researchers in the HCI community, particularly in the areas of textile interfaces and deceptive design patterns. His research group has secured significant funding for projects exploring the intersection of physical materials and digital interaction, with applications in smart homes, education, and accessibility. The Media Computing Group under Borchers' leadership operates state-of-the-art facilities for prototyping textile interfaces, augmented reality systems, and deceptive pattern research environments. The lab combines expertise in computer science, design, textile engineering, and psychology to create holistic interaction experiences.

• Human-Computer Interaction
• Tangible User Interfaces
• Wearable Computing
• +5 more

Dr. Samir Morad is a Senior Lecturer in the Department of Engineering & Construction at the University of East London's School of Architecture, Computing and Engineering. He holds a PhD in Medical Robotics from Imperial College London, along with an MSc in Biomedical Engineering and a BEng in Medical Engineering. Education: BEng (Hons) in Medical Engineering, Queen Mary College, University of London (2010) MSc in Biomedical Engineering, Imperial College London (2011) PhD in Medical Robotics, Imperial College London (2015) His research focuses on Medical Robotics for Minimally Invasive Surgeries, including Robotically Assisted Flexible Intervention Devices, 3D Computational Modelling, Finite Element Analysis of Human Tissues, Medical Device Design, and Bio-fluid Mechanics. Key projects involve patient-specific respiratory masks with physiological detectors, tactile feedback systems for spinal needle insertion, and upper limb prostheses for Sitting Volleyball athletes. Recent publications highlight advancements in wearable pressure ulcer monitoring pads, force feedback spinal needles, polymer-based femoral implants, and active constraint control systems for surgical robots. These works integrate biomedical engineering principles with innovative mechanical design. Professional Affiliations: Chartered Engineer (CEng) Member of the Institution of Mechanical Engineers (MIMechE) Fellow of the Higher Education Academy (FHEA)

• Medical Robotics
• Minimally Invasive Surgery
• Flexible Surgical Intervention
• +4 more

William Navaraj is a Senior Lecturer in Engineering at Nottingham Trent University, specializing in flexible micro/nanoelectronic devices, electronic skin, and assistive robotics. He holds a PhD in Electrical and Electronic Engineering from the University of Glasgow and has over 8 years of interdisciplinary research experience. Education : PhD (University of Glasgow), MSc (CSIR-Central Electronics Engineering Research Institute), BSc (Academy of Scientific and Innovative Research) Research Interests His work focuses on: Flexible Electronics Electronic Skin Bio-mimetic Systems Wearable Healthcare Devices Graphene-based Sensors Nanowire Transistors Recent Publications Trends His 2018-2025 publications demonstrate expertise in tactile sensing, wearable dosimetry, and flexible robotics. Key topics include nanoribbon transistors, 3D-printed prosthetics, and self-powered e-skin systems. Scientific Contributions 50+ peer-reviewed publications 2 filed patents 2 book chapters on wearable bioelectronics Peer reviewer for 10+ journals/conferences Grants & Collaborations Recipient of ERDF, InnovateUK, and CSIR funding. Collaborates with institutions like Humotech (prosthetic systems), STMicroelectronics, and the University of Glasgow.

• Flexible Electronics
• Electronic Skin
• Smart Sensors
• +5 more

Professor Eric Lecolinet is a faculty member at Télécom Paris, Institut Polytechnique de Paris, leading the DIVA (Design, Interaction, Visualization & Applications) research team within the LTCI laboratory. He is also President of the French-speaking Human-Machine Interaction Association ( AFIHM ). Education & Qualifications He earned his Habilitation à diriger des recherches (HDR) in 2018 from Université Paris-Saclay, specializing in Computer Science and Human-Computer Interaction, with a thesis entitled “Making Interaction Gestural: Expressivity and Memorability of Gestures” . Research Interests His research spans: Touch and tactile interfaces, including artificial skin and multi-modal feedback. Graphical and gestural user interfaces for mobile, wearable, and immersive systems. Virtual and augmented reality interaction techniques, with emphasis on safety and memory effects. Interactive visualization and novel display platforms, notably the Digiscope high-performance visualization network. Publications & Trends Over the past five years, Professor Lecolinet’s work has concentrated on: Understanding and designing haptic interfaces that leverage artificial skin (Skin-On) and pneumatic feedback for affective communication. Exploring security and ethical implications of perceptual manipulations in VR, including memory distortions and physical risks. Developing compact gesture vocabularies for small surfaces and confined spaces, combining marking menus, finger-count shortcuts, and multi-modal feedback. Scientific Awards & Honors No specific awards are listed in the provided material, but he is recognized through leadership roles: President of AFIHM, member of the LTCI laboratory council, and scientific head of Télécom Paris Fablab. Teaching & Advising He directs the Master Interaction, Graphics & Design (IGD) at IP Paris and co-directs the 3D & Interactive Systems engineering track (IGR). He teaches courses on: Human-Computer Interaction Interactive 2D/3D and mobile application development Programming paradigms (C/C++, Qt, Swing) Current PhD students include Yang Liu and Elise Bonnail . Labs & Teams He leads the DIVA group (≈25 researchers) and oversees the PIXLS and IRIS platforms within the Equipex+ Continuum and former Digiscope networks. He also manages the Télécom Paris Fablab , a digital fabrication laboratory serving both research and education.

• Human-Computer Interaction
• Touch and Tactile Interfaces
• Gesture-Based Interaction
• +5 more

Andreas Schrempf is a Professor at the University of Applied Sciences Linz, specializing in Medical Engineering and Surgical Simulation. He leads the Research Center Linz Center of Excellence Medical Engineering and collaborates with the Digital Media Lab. Key Research Areas: Haptic Feedback, Artificial Soft Tissues, Needle Insertion, and Surgical Training Tools. Projects: TC-SMARTIS (2019-2020), NeedleTutor (2015-2017), ReSSL (2014-2018), and PatientSim (2013-2014). Recent Publications: Focus on hybrid surgical simulators, electromechanical characterization of materials, and sensor interfaces for medical training. Activities: Active in oral presentations and conferences on surgical simulation and healthcare cost reduction since 2009. Contact: andreas.schrempf@fh-linz.at

• Medical Engineering
• Surgical Simulation
• Haptic Feedback
• +4 more

Rajnikant Patel is a Distinguished University Professor and Tier-1 Canada Research Chair in the Department of Electrical and Computer Engineering at Western University, with a cross-appointment in the Department of Surgery at the Schulich School of Medicine & Dentistry. He is the Director of Engineering at Canadian Surgical Technologies & Advanced Robotics (CSTAR), a $20M research initiative focused on robotic systems for medical and space applications. PhD in Electrical Engineering, University of Cambridge (1973) Registered Professional Engineer (Ontario) Dr. Patel’s research spans robotics/mechatronics (including surgical robotics, rehabilitation, and space applications), haptics and teleoperation , and control systems . His work addresses challenges in force feedback , teleoperation latency , and AI-driven surgical training , with applications in stroke rehabilitation , neurological disorders , and minimally invasive surgery . Recent publications emphasize deep learning , scattering techniques for stability , and adaptive control in robotics. He has received numerous honors, including: Fellow of the Royal Society of Canada (FRSC) Fellow of the Canadian Academy of Engineering (FCAE) Life Fellow of IEEE (LFIEEE) Fellow of ASME, IET, and EIC Dr. Patel’s collaborations include clinicians at CSTAR and the London Health Sciences Centre (LHSC). His teaching covers robot manipulators and surgical robotics courses.

• Robotics
• Medical Robotics
• Haptics
• +12 more

Paul Hemeren is an Associate Professor of Informatics at the University of Skövde , specializing in biological motion perception and human-robot interaction. His research spans cognitive science, artificial intelligence, and transportation safety, with emphasis on understanding how humans perceive actions and intentions in dynamic environments. Academic Background : Ph.D. in Cognitive Science (Lund University, 2008), B.A. from Hope College (USA) Current Research : Focuses on action representation, driver-cyclist interaction modeling, and multimodal perception systems Applied Projects : Developing intelligent driver support systems (I2Connect) and predictive collision detection models Methodologies : Combines experimental psychology with machine learning and computational modeling Recent publications examine kinematic primitives in action similarity judgments, attentional synchrony in films, and data-driven collision prediction models. His work bridges theoretical cognitive science with practical implementations for traffic safety and robotic systems, particularly through collaborations with Swedish research foundations and European robotics initiatives. Professional affiliations include membership in the Cognitive Science Society and European Network for Artificial Cognitive Systems. Research has been funded by Swedish insurance research funds and EU Horizon programs.

• Cognitive Science
• Human-Computer Interaction
• Robotics
• +4 more

Duygu CANKURTARAN serves as a Lecturer in the Department of Architecture within Beykent University's Faculty of Engineering and Architecture, teaching in English-medium programs. A member of the Chamber of Architects since 2014, she actively contributes to architectural discourse through conference presentations and artistic workshops like the 2016 national event 'Passing through Psidia Antiocheia: Architectural Essays, Touches, and Remarks'. Education Doctorate (2020), Institute of Science, Istanbul Technical University. Thesis: 'A conceptual evaluation for new generation learning spaces'. Master's Degree (2016), Institute of Science, Istanbul Technical University. Licence (2008), Faculty of Architecture, Middle East Technical University. Her research critically examines how digital transformation reshapes domestic workspaces, investigates tactile spatial cognition for visually impaired navigation, and develops participatory design methodologies emphasizing knowledge dialogue. This interdisciplinary work bridges architectural theory with human-centered technology, focusing on embodied experiences and adaptive spatial organization in evolving work ecosystems. Publication trends reveal consistent exploration of user-centered spatial design across three key domains: sensory perception in architecture (2020), collaborative knowledge construction (2022), and digital-home integration (2024). These studies demonstrate methodological innovation through experiments like HapticWalk and critical analysis of workspace reorganization during remote work transitions. No scientific awards are documented in available records. Information regarding student supervision, research grants, laboratory affiliations, or collaborative teams is not present in the source materials. Her current academic duties include teaching and research within Beykent University's Architecture program.

• Architecture
• Participatory Design
• Spatial Cognition
• +3 more

Dr. Alma Cantu is a researcher at Newcastle University with a focus on digital health, biomechanics, and human-computer interaction. Her work spans interdisciplinary domains including wearable technology, virtual reality, and visual analytics. Key affiliations: Newcastle University Research areas: Real-world mobility assessment, immersive visualization, and human factors in aviation interfaces. Her recent research involves developing and validating digital tools for measuring gait in clinical settings using wearable sensors, with contributions to the Mobilise-D consortium. She has pioneered visualization techniques like HeloVis for signal intelligence analysis and explored the usability of 3D immersive environments. Publications highlight her expertise in applying deep learning to gait event detection, behavioral assessment in VR, and optimizing cockpit interfaces for turbulence resilience. Collaborative work includes patient engagement strategies for digital health solutions and multidisciplinary methodologies for data visualization.

• Digital Health
• Biomechanics
• Human-Computer Interaction
• +4 more

Dr. Anna Syberfeldt is a Professor in Production Engineering at the Department of Engineering Science, University of Skövde. She leads the Virtual Production Development research group and serves as research director at the ASSAR Industrial Innovation Arena. With a background in computer science from De Montfort University and habilitation in automation engineering, her work bridges AI, robotics, and immersive technologies with industrial production systems. Professor in Production Technology Research Director at ASSAR Industrial Innovation Arena University of Skövde Affiliation Her research focuses on developing innovative industrial solutions through: Artificial Intelligence and Machine Learning Collaborative Robotics and Human-Robot Interaction Digital Twins and Simulation-Based Optimization Augmented/Virtual/Mixed Reality Applications Smart Manufacturing and Industry 4.0 Worker Well-Being and Productivity Optimization Recent publications demonstrate her leadership in simulation-based optimization, collaborative robotics, and mixed reality applications in manufacturing. Her work emphasizes creating ultra-flexible production systems through cyber-physical approaches while prioritizing environmental sustainability and human-centric design. Key trends in her research include: Unified frameworks for virtual commissioning Knowledge graph applications in production systems Multi-objective optimization balancing productivity and ergonomics Smart glasses evaluation for industrial operators Evolutionary algorithms for complex manufacturing problems Her projects demonstrate practical implementations of: MAXLabs distributed cyber-physical testbed ERAIVA posture identification software Virtual environments for human-robot collaboration testing Digital support functions for factory layout planning

• Production Engineering
• Industrial Automation
• Digital Twins
• +3 more