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Yegor PiskarevView profile

Researcher

• Medical Device Engineering
• Robotics
• Soft Robotics
• +7 more

Yegor Piskarev is a Postdoctoral Researcher at EPFL’s Laboratory of Intelligent Systems (LIS), part of the School of Engineering (STI) and Institute of Microengineering (IGM). His work focuses on transitioning medical device concepts into commercial products, particularly an ENT medical device currently undergoing preclinical validation at CHUV Hospital. He holds a Ph.D. (2024) and M.Sc. (2019) in Mechanical Engineering from EPFL, with prior research at North Carolina State University (2018) and a B.Eng. from Bauman Moscow State Technical University (2016). Education B.Eng. in Robotics, Bauman Moscow State Technical University (2012–2016) M.Sc. in Mechanical Engineering, EPFL (2016–2019) Ph.D. in Mechanical Engineering, EPFL (2019–2024) Exchange Master Thesis at North Carolina State University (2018–2019) Research Interests Medical Device Development: Specializing in Class III devices (e.g., cardiac ablation catheters) and ENT devices, ensuring compliance with FDA/MDR standards and ISO 13485/14971. Soft Robotics: Innovating variable stiffness technologies, granular jamming, and electroadhesion for medical applications. Regulatory Expertise: Leading patent applications (2 PCT) and navigating FDA/MDR approval processes. Simulation & Prototyping: Utilizing SolidWorks, Ansys, and 3D printing for device design and validation. Collaborations & Leadership Yegor manages interdisciplinary teams and collaborates with institutions like ETH Zurich and University of Electro-Communications (Tokyo). He secures Swiss national/local grants and oversees quality management systems (QMS) for medical device commercialization. Labs & Teams Based at LIS/EPFL, he contributes to projects like soft actuators and biodegradable electrohydraulic systems, reflecting his focus on advancing medical robotics through both academic and industrial partnerships.

Pedro LopesView profile

Associate Professor

• Human Computer Interaction
• Virtual and Augmented Reality
• Wearable Computing
• +4 more

Pedro Lopes is an Associate Professor in the Computer Science Department at the University of Chicago. His research focuses on Human-Computer Integration, exploring interfaces that integrate directly with the human body, such as muscle stimulation wearables and sensory substitution systems. He leads the Human-Computer Integration Lab and collaborates with groups like the Systems Group and CERES Center for Unstoppable Computing. Key research areas include wearable computing, haptics, and sustainable computing. His work has been recognized with awards including multiple CHI/UIST Best Papers, Sloan Fellowship, and the IEEE VGTC Virtual Reality Significant New Researcher Award. Notable projects include devices that enhance multitasking efficiency, reduce electronic waste, and create thermal/olfactory illusions. Awards highlight impactful contributions to HCI, including innovations in EMS applications, sustainable design, and brain-computer interfaces. Pedro teaches courses on human-computer interaction, interactive device engineering, and circuit design. His lab actively engages in interdisciplinary collaborations, advancing technologies that merge biology with computing for future human-compatibility.

• Robotics
• Optimization Algorithms
• Machine Learning
• +3 more

Victor Parque is an active researcher with a focus on robotics, optimization algorithms, and machine learning applications. His work spans robotics control, sensor network design, and algorithm development for engineering systems. He has collaborated with institutions globally, contributing to advancements in areas such as path planning for mobile robots, tactile sensor integration for food quality assessment, and prosthetic arm feedback systems. Key co-authors include Tomoyuki Miyashita and Satoshi Miura. His research emphasizes practical applications of computational methods in engineering and agriculture, with publications in venues like IEEE Access, Neurocomputing, and the International Conference on Neural Information Processing (ICONIP).

Guillaume CrevecoeurView profile

Associate Professor

• Dynamical Systems
• Nonlinear Optimal Control
• Model-Based Optimization Algorithms
• +4 more

Guillaume Crevecoeur (born 1981) serves as Associate Professor at Ghent University's Faculty of Engineering and Architecture within the Department of Electrical Energy, Metals, Mechanical Constructions, and Systems. He leads research at the Electrical Energy Laboratory (EELAB) and is an affiliate member of Flanders Make, the strategic research center for manufacturing industry. His international collaborations include membership in scientific steering committees and prior visiting researcher positions at Technical University Ilmenau and Physikalische Technische Bundesanstalt in Berlin. Crevecoeur earned his MSc (2004) and PhD (2009) in Engineering Physics from Ghent University, followed by a postdoctoral fellowship with Research Foundation Flanders (FWO-Flanders). His research spans dynamical systems modeling, optimization, and control with foundational work in model-based algorithms, inverse problems, and nonlinear optimal control. Current strategic focus areas include machines and motion systems, particularly airborne wind energy applications and robotics. Analysis of his 2022-2025 publications reveals dominant trends in physics-informed machine learning for control systems , with significant contributions to reinforcement learning for underactuated systems, tactile sensing in robotics, and computational fluid dynamics for renewable energy. His work consistently integrates model-based optimization with data-driven approaches, especially in wind turbine control and aerial robotics co-design. Best Paper Award at 22nd International Conference on System Theory, Control and Computing (2018) As Principal Investigator, Crevecoeur directs research funded through FWO-Flanders and industry partnerships with Flanders Make. His lab focuses on mechatronic systems development, particularly in robotic manipulation and renewable energy conversion. Current projects include airborne wind energy system optimization, collision-tolerant robotics, and digital twin implementations for industrial machinery. He actively contributes to international scientific steering committees and serves as academic advisor for graduate students in electrical energy systems. Crevecoeur's research group operates within EELAB's infrastructure, utilizing high-performance computing resources for computational fluid dynamics simulations and experimental facilities for mechatronic system validation. The team collaborates with industry partners through Flanders Make on industrial automation challenges, with recent work focusing on real-time control for high-speed manufacturing processes and adaptive energy management systems.

Christer KorinView profile

Senior Lecturer

• Packaging Technology
• Carton Board Analysis
• Adhesive Joints
• +4 more

Christer Korin is a Senior Lecturer in Mechanical Engineering at Örebro University's School of Science and Technology. He holds a PhD in Chemical Engineering from Karlstad University (2009) and an MSc in Mechanical Engineering from the Royal Institute of Technology (KTH, 1996). His career spans over two decades in carton board technology, including R&D roles at BillerudKorsnäs AB before transitioning to academia in 2012. He is a docent (Associate Professor) since 2016 and leads research on carton board usability, adhesive joints, and packaging mechanics. Education: MSc, Mechanical Engineering, KTH Royal Institute of Technology, 1996 PhD, Chemical Engineering, Karlstad University, 2009 Research Interests: Focus on optimizing carton board performance through material analysis and structural design. Key areas include adhesive joint mechanics, package deformation under load, tactile sensor integration for compliance testing, and additive manufacturing impacts on material properties. His work bridges fundamental material science with industrial applications in packaging and mechanical engineering. Teaching & Supervision: Teaches Thermodynamics and Energy Technology courses. Supervises BSc/MSc theses in Mechanical Engineering, Industrial Design, and Industrial Engineering & Management programs. Active in guiding research on packaging durability, material testing, and manufacturing processes. Research Projects: Characterization of paperboard for creasing/folding Interaction between tactile sensors and cartonboard packages Deformation modeling of manual-handling carton packages Labs/Groups: Member of the Mechanics and Materials research group at Örebro University, collaborating on interdisciplinary material science and engineering challenges.

• Virtual Reality
• Augmented Reality
• Haptic Feedback Systems
• +5 more

Emanuel Vonach is a PreDoc Researcher at the Institute of Visual Computing & Human-Centered Technology at Vienna University of Technology (TU Wien), specializing in virtual reality, haptics, and tangible user interfaces. His work focuses on developing innovative VR systems with robotic haptic feedback, health monitoring technologies for children, and motion capture applications. He maintains an active research profile with publications spanning from 2011 to 2025, demonstrating continuous contribution to the field of human-computer interaction. Vonach's research interests primarily center around enhancing virtual reality experiences through physical interaction. His work explores how robots can provide haptic feedback in VR environments, developing systems like CoboDeck (a large-scale haptic VR system using collaborative mobile robots) and Action-Origami inspired haptic devices. He has also pioneered applications in health monitoring for children through projects like MediCubes, which transforms medical examinations into engaging storytelling experiences using tangible interfaces. His research bridges the gap between theoretical computer science and practical applications in healthcare, education, and emergency response. His publication record shows a clear progression from foundational work in motion capture and tracking systems to increasingly sophisticated haptic VR applications. Recent publications focus on environment-independent locomotion prediction for haptic VR and safety monitoring systems for encountered-type haptics, indicating a maturation of his research toward more complex, real-world applications. The consistent funding from organizations like the Austrian Research Promotion Agency (FFG) and European Commission demonstrates recognition of his work's significance. Vonach actively supervises graduate students, with thesis topics covering mobile collaborating robots for haptics, in-situ questionnaires for haptic experience, and visual assessment with eye-tracking displays. His role as a PreDoc Researcher with FWF funding suggests he is either completing or has recently completed his doctoral studies while maintaining an active research program. His collaborations with Professor Hannes Kaufmann and other researchers at TU Wien form a cohesive research group focused on advancing VR and haptic technologies.

• Multimodal Interaction
• Ambient Intelligence
• Human-Computer Interaction (HCI)
• +6 more

Yacine Bellik is an Associate Professor in Computer Science at the Université Paris-Saclay, affiliated with the IUT d'Orsay and the LISN laboratory. He holds the 'Habilitation à Diriger des Recherches' (HDR) and leads the AMI Group (Architecture and Models for Interaction). His research focuses on multimodal interaction, ambient intelligence, and assistive technologies, particularly for visually impaired users. He has supervised numerous PhD students and contributed to projects like the IRoom Intelligent Room and ATRACO. Education: PhD in Computer Science (1995), Paris-South 11 University, LIMSI-CNRS HDR (2006), Paris-South 11 University, LIMSI-CNRS Research Interests: Bellik's work spans multimodal interaction architectures, adaptive systems in ambient environments, haptic and tactile interfaces, and accessibility solutions for disabled users. He has pioneered frameworks for spatial user interaction (SUIL) and developed assistive technologies like tactile wheelchair interfaces and multimodal navigation aids for the blind. Publications & Awards: Over 50 peer-reviewed articles in journals like *Journal of Ambient Intelligence and Smart Environments* and conferences such as CHI and INTERACT. Notable achievements include a 2nd prize in the SETAA 94 innovation competition and recognition for top-tier research in HCI. Grants/Responsibilities: Coordinator of the Digiteo IRoom project (2007–2009) Membre du comité scientifique of multiple ANR and EU projects Teaching roles include directing studies at IUT Orsay and leading modules on multimodal interaction at Supélec Labs/Teams: AMI Group at LIMSI-CNRS, contributing to the ATRACO and IRo om projects. Collaborates internationally with institutions like the University of Ulm and École de Technologie Supérieure (Montreal).

• Control Engineering
• Robotics
• Mechatronics
• +3 more

Stephen Mascaro is an Associate Professor (Lecturer) in the Department of Mechanical Engineering at the University of Utah, where he has served since 2005. He currently holds the role of Director of Robotics Studies, effective January 2024. His academic journey includes degrees from Clarkson University (BS in Mechanical Engineering and BA in Physics, 1995), and advanced degrees from MIT (MS 1997, PhD 2002 in Mechanical Engineering). His research focuses on control engineering, mechatronics, robotics, and sensor systems. Notable contributions include fingernail imaging for tactile force sensing, robotic tendon modeling, and biomimetic actuators. He has secured grants such as the NRI-Small grant for grasp force research. His work bridges robotics, biomedical engineering, and haptics, with applications in surgical robotics, human-robot interaction, and sensor development. Mascaro teaches courses in Mechatronics and System Dynamics, emphasizing hands-on learning. He actively mentors FIRST Robotics teams and engages in community outreach, including mentoring high school robotics competitions. His awards include the 2024 Top 15% Instructor Award from the University of Utah. His lab develops innovative sensors and robotic systems, integrating principles from biomechanics and materials science. Current projects include real-time tactile sensing via deep learning and robotic tendon repair simulation. His work is published in IEEE Transactions, Journal of Dynamic Systems, and other leading journals, with over 40 peer-reviewed articles since 1998.

Liang HeView profile

Associate Professor

• Soft Robotics
• Wearable Robotics
• Augmented and Virtual Reality
• +4 more

Liang He is an Associate Professor of Biomedical Engineering at the University of Oxford's Department of Engineering Science and an Official Fellow at Kellogg College. His research focuses on soft robotics, wearable robotics, and embodied artificial intelligence solutions for healthcare, including biosensors, haptic and VR technologies. He leads the Healthcare Biorobotics Lab (HBL) and contributes to The Podium Institute for Sports Medicine and Technology, developing AI-driven injury prevention systems in sports. Education: PhD in Medical Robotics (Imperial College London), MSc (University of Liverpool), BSc (Shanghai Jiao Tong University). Research Interests: Soft robotics, wearable robotics, augmented/virtual reality, machine haptics, generative AI for healthcare, and embodied tactile perception. He pioneered projects like the EPSRC Motion/RoboPatient initiatives (2017–2020) for medical training simulators and the Oxford Robotics Institute's soft-sensing skin program (2021). Professional Roles: Co-chair of the MPLS Division's Research Staff Forum (2022), member of Oxford's Research Staff Consultation Group, and recipient of the MPLS Enterprise & Innovation and Ideas2Impact Fellowships. Key Achievements: Developed sensorized laryngoscope training systems, magnetorheological elastomer valves for soft robots, and origami-based orthotic designs. His work bridges robotics, AI, and clinical applications, emphasizing tactile perception and embodied intelligence.

• Robotics
• Machine Learning
• Artificial Intelligence
• +7 more

Nguyen Tran is a Doctoral Researcher affiliated with the School of Business and the Department of Information and Service Management . Their work focuses on advancing robotic grasping and manipulation techniques through data-driven and physics-based approaches. Research Interests: Robotics, Soft Robotics, Machine Learning, Human-Robot Interaction, Haptics, and physical property modeling for robotic systems. Recent Work: Developments in deformable object manipulation, 6-DOF grasp sampling, and multi-fingered hand designs inspired by human anatomy. Technical Contributions: Novel algorithms like SPONGE for contact prediction, force control systems for safe grasping, and simulation-based quality metrics for deformable object interactions.

Matthew RileyView profile

Senior Lecturer

• Play Design
• Experimental Games
• Digital Design Practice
• +6 more

Dr. Matthew Riley is a Senior Lecturer in the School of Design at RMIT University, specializing in the Master of Animation, Games, and Interactivity (MAGI) program. His research focuses on playful and experimental design, exploring agency, affect, and abstraction in complex systems through interdisciplinary collaborations with cultural institutions, local governments, and industry partners. He co-founded the experimental collective YomeciPlay, producing urban play projects such as outdoor street games and interactive installations. Riley’s work has been showcased internationally at venues like Playable City Melbourne, TarraWarra Museum of Art, and conferences including DiGRA and ISEA. He is a member of the RMIT Future Play Lab and the Academic Board of The MIECAT Institute. His creative practice bridges digital and physical mediums, emphasizing public engagement and ecologies of place. Education background includes design and contemporary art, with professional experience at Melbourne studio Drome under artists Patricia Piccinini and Peter Hennessey. Teaching responsibilities include Advanced Play Design and Urban Play School, fostering innovative student projects recognized globally. Riley has secured grants from Creative Victoria, Yarra Ranges Council, and others, supporting his interdisciplinary projects. His research examines contemplative play, mixed realities, and the intersection of technology with natural and urban environments.

• AI and Deep Learning in Photonics
• Super-resolution Microscopy
• Laser-based Manufacturing
• +4 more

Professor Zengbo Wang is a Professor in Imaging and Laser Micromachining at Bangor University's School of Computer Science and Engineering, with additional responsibilities as a Leverhulme Trust Research Fellow (2022-2023). He holds visiting professorship at Northeastern University (USA) and previously served as Lecturer at University of Manchester. His educational background includes a BSc/MSc in Physics from Xiamen University and PhD in Electrical Engineering from National University of Singapore. Wang's research integrates AI/deep learning with photonics, focusing on: Super-resolution microscopy innovations including microsphere/nanoparticle superlens technologies (featured in Nature Communications and Science Advances) Laser-based nano-manufacturing for industrial applications using femtosecond/UV lasers Metamaterial optical filters and fiber-optic quantum sensing systems Photonic design automation through neural networks (CNNs, GANs) for biological imaging His work consistently targets resolution enhancement, with recent articles showing 50-100nm imaging capabilities. Publications reveal three dominant themes: Advancements in super-resolution techniques using dielectric/biological materials (33% of recent works) AI-driven photonic inverse design for nanofabrication (27%) Hybrid laser-optical systems for sensing/security applications (40%) This demonstrates evolution from fundamental optics toward applied AI-photonics convergence. Honors and Leadership Leverhulme Trust Research Fellowship (2022) for AI-assisted nanoscopy Elected Optica Senior Member (2017) Research Excellence Award Finalist (Bangor University, 2016) Royal Academy of Engineering Poster Prize (2011) Wang mentors doctoral candidates in photonics/AI fields and directs multiple grants including: £45k Innovate UK project for superlens anti-counterfeiting systems £20k NERC study on ozone impact using superlens imaging Pan-Wales Centre for Photonics Expertise (CPE) industrial partnerships He leads the Laser Photonics Research Group with specialized facilities: environmental SEM with E-beam lithography, femtosecond laser systems, and 3D laser scanners. Current projects focus on AI-assisted nanoscale imaging platforms.

Frank MelendezView profile

Associate Professor

• Computational Design
• Digital Drawing and Modeling
• Responsive Architectural Systems
• +7 more

Frank Melendez is Associate Professor and Chair at the Spitzer School of Architecture, City College of New York (CCNY), part of the City University of New York (CUNY) system. He holds a leadership role in academic administration while maintaining an active research and teaching profile in computational and responsive design. Educational Background: B.Arch., University of Arizona, 1998 M.Arch., Yale University, 2006 His research centers on the integration of computation, biology, and responsive systems in architectural design. With a focus on biosensors, soft robotics, and digital fabrication, Melendez explores how architecture can dynamically interact with environmental and biological inputs. His work bridges design theory with technological innovation, particularly in material behavior and interactive systems. The recent publications reflect a strong trajectory in computational design, environmental responsiveness, and interdisciplinary collaboration. Themes include wearable biosensors, liquid-actuated elastomers, pneumatic frameworks, and synthetic ecologies, indicating a consistent exploration of adaptive and bio-integrated architectural systems. Scientific Awards: No awards listed in the provided text. Frank Melendez has advised students and secured research grants, though specific details are not mentioned in the provided text. His professional practice as Principal of Augmented Architectures and Melendez Design Studio complements his academic work, demonstrating a strong link between research, education, and design application. He leads the BioMatters research initiative, which investigates the intersection of biological systems and architectural design, supported by the website biomatters.org and associated social media presence. This lab fosters interdisciplinary collaboration with experts in biology, engineering, and computation.

Yonas TadesseView profile

Professor

• Robotics
• Soft Robotics
• Smart Materials & Structures
• +6 more

Dr. Yonas Tadesse is a Professor of Mechanical Engineering at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on robotics, smart materials, energy harvesting, and advanced manufacturing. He leads the HBS Lab, which develops bio-inspired robots such as the Robojelly (a hydrogen-powered jellyfish robot) and soft robotic systems using twisted and coiled polymer (TCP) actuators. His work integrates 3D printing, sensors, and actuators for applications in healthcare, environmental monitoring, and assistive technologies. Education: PhD in Mechanical Engineering (Virginia Tech, 2009), M.Tech (IIT Bombay, 2005), B.S. (Addis Ababa University, 2000). Research Highlights: Developed TCP-based actuators for soft robots and prosthetics, pioneered 4D printing techniques, and created energy-harvesting systems. His lab has been featured in media like BBC, Popular Mechanics, and Science Daily. He received the Office of Naval Research Young Investigator Program (YIP) Award in 2015. Key Projects: Robojelly, HBS-1 humanoid robot, soft robotic grippers, and bio-inspired breastfeeding simulators. His work emphasizes sustainable energy solutions and biomedical applications.

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +3 more

Klaus Hinrichs is a Professor at the University of Münster. His work focuses on computer graphics, medical imaging, virtual reality, and scientific visualization. He leads research in interactive visualization techniques, geometric algorithms, and human-computer interaction, with applications in medical diagnostics, astrophysics, and immersive environments. His research interests include 3D reconstruction, volume rendering, gesture-based interfaces, and redirected walking in VR. He has contributed to projects like VIPAR for histopathology analysis and the Voreen framework for interactive volume visualization. Recent work explores touch interaction with stereoscopic objects, haptic feedback systems, and biometric authentication methods for mobile devices. His publications span over 30 years, emphasizing interdisciplinary approaches to visualization and user interface design.