Benjamin Kromoser is a Professor for Resource Efficient Structural Engineering at the Institute of Green Civil Engineering (BOKU Vienna). He leads research projects on sustainable construction methods, including additive manufacturing of biobased materials, timber-concrete composites, and topology optimization of structural elements. His work bridges digital fabrication, circular economy principles, and industry 4.0 in civil engineering. Head of Institute of Green Civil Engineering (2022–present) Speaker of Doctoral School Build.Nature (2021–2022) University Professor for Biobased Design (2018–2022) His research focuses on reducing environmental impacts through automated design, 3D printing of concrete, and non-metallic reinforcement. Recent projects include 3DP Biowalls (biobased recyclable walls) and prestressed carbon-UHPC elements. Scientific awards include the fib Achievement Award (2019) , Inits Award (2016) , and Bundespreis für Ecodesign (2016) .
Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.
Prof. Dr. Tobias Windisch is a Professor at the University of Applied Sciences Kempten, where he serves as head of the Institute for Machine Vision within the Faculty of Mechanical Engineering. He leads the Optical 3D Measurement and Computer Vision Laboratory (3D visionlab) and oversees research activities focused on machine learning applications for industrial automation. Dr. Windisch received his PhD in mathematics from OvGU Magdeburg under the supervision of Thomas Kahle, and holds an Honors Master's degree in mathematics from TU Munich within the elite TopMath program. Prior to his academic career, he worked on machine learning projects for Robert Bosch GmbH and Daimler TSS GmbH (now Mercedes-Benz Tech Innovation). His research spans machine learning, computer vision, and optical sensing with a strong focus on industrial applications. Windisch's work primarily explores how reinforcement learning can be combined with optical sensing to develop intelligent control strategies for manufacturing processes. His team develops mechanical processes built around machine learning models to further automate industrial applications using data from optical sensors. The research has practical applications in automotive production, quality control, and precision manufacturing. Analysis of his recent publications reveals a strong trend toward practical implementations of machine learning in industrial settings, with particular emphasis on reinforcement learning for process optimization, drift detection in high-dimensional data, and causal structure learning for manufacturing analytics. His work bridges theoretical machine learning with real-world industrial challenges. As a dedicated educator and research leader, Windisch maintains high standards for academic integrity and excellence. He believes in creating an environment where students can focus deeply, think boldly, and innovate through meaningful research. Dr. Windisch leads a dynamic research group with numerous Master's and Bachelor's students working on cutting-edge projects including reinforcement learning for active alignment, drift detection in sensory data, latent drift detection with Autoencoders, and representation learning for industrial processes. His laboratory, the 3D visionlab, serves as the physical hub for this research. The Institute for Machine Vision under his leadership develops practical tools and frameworks such as relign, lineflow, and driftbench that are openly available on GitHub, demonstrating his commitment to reproducible research and practical applications.
Professor Roderich Groß is a faculty member at Technical University of Darmstadt, where he serves as Head of the RCPS Lab (Robotics, Control, and Physical Systems Laboratory). His extensive research career spans over two decades with publications dating back to 2006, establishing him as a leading figure in swarm robotics. His work appears in top-tier robotics journals including IEEE Transactions on Robotics, Nature Communications, and The International Journal of Robotics Research. Professor Groß's research focuses on swarm robotics, multi-robot systems, modular and reconfigurable robotics, and human-robot interaction. His work explores how groups of relatively simple robots can collectively perform complex tasks through decentralized control mechanisms. He investigates modular systems that can adapt their physical structure to different tasks and develops human-robot interaction paradigms that enable effective collaboration between humans and robot swarms. His research has practical applications in search and rescue, environmental monitoring, construction, and industrial automation. Analysis of Professor Groß's recent publications reveals a clear evolution from foundational swarm behaviors toward increasingly sophisticated applications. His work addresses critical challenges including energy management in robot swarms (CapBot), multi-operator control interfaces, heterogeneous systems for industrial applications, and bio-inspired collective behaviors. His research bridges theoretical swarm intelligence principles with practical implementation on physical robot platforms like Kilobots, with recent work integrating artificial intelligence techniques such as language models for swarm control. As Head of the RCPS Lab, Professor Groß leads a productive research group with extensive international collaborations. The lab works with various robot platforms focusing on both theoretical modeling and practical implementation of swarm behaviors, contributing significantly to advancing the field of swarm robotics from theoretical foundations to real-world applications.
DAI Jiansheng is a Chair Professor at Southern University of Science and Technology (SUSTech) and Director of the Robotics Research Institute. He is a Fellow of the Royal Academy of Engineering (FREng), Fellow of the Academia Europaea, and holds multiple fellowships including IEEE, ASME, RSA, and IMechE. As Editor-in-Chief of the international journal Robotica, he has established himself as a leading authority in mechanisms and robotics research. His educational background includes a PhD from the University of Salford (1989-1993), a Master's degree from Shanghai Jiao Tong University (1982-1984), and a Bachelor's degree from the same institution (1978-1982). His academic journey has taken him from postdoctoral work at Salford University to research positions at Unilever Liverpool Research Centre before becoming a faculty member at the University of Sunderland and ultimately King's College London, where he served as Reader and then Chair Professor from 2007 until his current position at SUSTech. Professor Dai's research spans theoretical kinematics, screw theory, Lie algebra, and their applications to metamorphic and reconfigurable mechanisms. His pioneering work bridges the gap between versatile but expensive robots and efficient but non-flexible machines. His research interests include origami-inspired robotics, rehabilitation robotics for ankle treatment, soft robotics, and industrial applications in packaging and manufacturing. His theoretical framework has enabled significant advances in reconfigurable parallel mechanisms and metamorphic robotics. His extensive publication record shows a clear progression from fundamental theoretical work on screw algebra and Lie groups to practical applications in rehabilitation, manufacturing, and soft robotics. Recent publications demonstrate increasing focus on soft robotics, variable stiffness actuators, and continuum robots with Shape Memory Alloy applications, while maintaining strong theoretical foundations in screw theory and kinematic analysis of metamorphic mechanisms. ASME Mechanisms and Robotics Award (2015) ASME Machine Design Award (2020) IFToMM Excellence Award (2023) Tianjin Municipal Natural Science First Prize (2021) Crossley Award (2018) AT Yang Award in Theoretical Kinematics (2019) Professor Dai has supervised over 50 PhD students who now hold faculty positions at world-leading universities including University College London, Queen Mary University London, Purdue University, and Wollongong University. His research has been supported by numerous grants enabling the establishment of advanced robotics laboratories and international collaborations. He founded the IEEE Triennial International Conference on Reconfigurable Mechanisms and Robots (ReMAR), creating a major platform for international scholarly exchange in this specialized field. His research group maintains strong industry partnerships with companies including Cambridge Consultants, Goldman Sachs, and Amazon. The Robotics Research Institute he directs at SUSTech serves as a hub for interdisciplinary research, bringing together experts in mechanical engineering, computer science, biomedical engineering, and materials science. The institute focuses on both fundamental theoretical advances in mechanism design and practical applications in healthcare, manufacturing, and service robotics, with particular emphasis on metamorphic and reconfigurable systems that can adapt to multiple tasks.
Milou Habraken is a Researcher in the Department of Communication Science at the University of Twente . Her research focuses on the intersection of Industry 4.0 , Human Resource Management (HRM) , and Work Design , particularly examining how collaborative robots (cobots) and digital transformation reshape workplace dynamics. Key Research Areas: Smart Industry, Occupational Safety and Health, Human-Robot Collaboration, Digital Workspaces Recent Publications: Her 2023 reports with CEPS analyze policy implementations for smart industry in Belgium, while her 2022 work with ILO provides methodological frameworks for occupational safety metrics. Earlier studies (2016-2020) explore job design evolution, HRM adaptation, and critical analyses of Industry 4.0 hype versus practical realities. Awards & Grants: No explicit scientific awards mentioned, though her research has been supported by institutions like the International Labour Organization (ILO) and Centre for European Policy Studies (CEPS).
Julio Garrido Campos is a full-time researcher at the University of Vigo , affiliated with the School of Industrial Engineering and the Department of Systems and Automation Engineering . He is a member of the research group EN.EDI Efficient and Digital Engineering , focusing on advanced robotics, industrial automation, and digital manufacturing standards. Education: Doctor from the University of Vigo (1999) with a thesis on technical information exchange in concurrent engineering environments, supervised by Dr. Ricardo Marín Martín. His research spans mechatronics , cable-driven parallel robots (CDPR) , motion control systems , and STEP-NC standards for manufacturing. Recent work includes marine robotics applications for underwater load handling, 3D printing for maritime plastic circular economy initiatives, and digital twin development for industrial automation. Publications highlight trends in robotics for rehabilitation , custom non-conventional robotics , and energy-efficient manufacturing . He has contributed to frameworks for integrating simulation, control, and management tools in industrial digital twins. No specific scientific awards are mentioned in the provided text. Labs & Teams: Garrido Campos works within the Laboratorio de manutención e informática industrial Ricardo Marín , a group dedicated to industrial automation and mechatronics research for 25+ years.
Dr. Emily Rogers-Bradley serves as an Assistant Professor at the University of Calgary's Schulich School of Engineering with dual appointments in the Department of Mechanical and Manufacturing Engineering and Department of Biomedical Engineering. She is also a Full Member of the McCaig Institute for Bone and Joint Health and a Child Health & Wellness Researcher at the Alberta Children's Hospital Research Institute. As director of the Adaptive Bionics Lab, Dr. Rogers-Bradley leads innovative research at the intersection of precision machine design, biomechanics, and robotics for medical applications. Her educational foundation includes: PhD in Mechanical Engineering from Massachusetts Institute of Technology (2023) SM in Mechanical Engineering from Massachusetts Institute of Technology (2019) SB in Biomedical Engineering from Harvard University (2015) Dr. Rogers-Bradley's research program focuses on three interconnected domains: Prosthesis Innovation: Developing robotic prosthetic devices with variable-stiffness mechanisms that adapt to walking speeds and terrains for people with lower limb amputations, significantly improving biomechanical outcomes Exoskeleton Development: Creating wearable orthotic devices that correct gait abnormalities and enhance performance for specialized activities including rock climbing and downhill walking Biomechanical Analysis: Conducting detailed studies of human gait to optimize device functionality and assess real-world impact on users Her publication trajectory reveals a strategic focus on adaptive wearable robotics, with recent work emphasizing variable-stiffness prostheses that improve walking biomechanics across speeds. Her research spans fundamental biomechanics to practical rehabilitation applications, with notable contributions to EMG-controlled prosthetics and specialized devices for extreme activities. She has also pioneered pediatric applications through wearable technologies for developmentally delayed infants. Dr. Rogers-Bradley's scholarly excellence is recognized through multiple prestigious awards: Best Paper Award Finalist, IEEE/ASME Transactions on Mechatronics (2025) Evolve to Innovate - Best Roadmap and Financial Plans, Hunter Hub for Entrepreneurial Thinking (2025) Early Career Research Excellence and Undergraduate Teaching Excellence, Schulich Excellence Awards (2024) National Science Foundation Graduate Research Fellowship (2017) As an academic leader, Dr. Rogers-Bradley serves as Associate Editor for IEEE Transactions on Neural Systems and Rehabilitation Engineering and the IEEE RAS/EMBS International Conference on Biomedical Robotics. She teaches Biomedical Engineering Foundations (BMEN 600) and Machine Component Design (ENME 493), while her research is supported through university strategic initiatives in Child Health and Wellness (2020-2025) and One Health (2020-2025). The Adaptive Bionics Lab, located in MEB223, operates as a multidisciplinary hub where mechanical engineers, computer scientists, and clinicians collaborate to develop next-generation assistive technologies. The lab's work integrates advanced materials, control systems, and biomechanical analysis to create devices that adapt to real-world environments, with ongoing projects spanning from adult mobility restoration to pediatric developmental support.
Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .
Stefana Parascho serves as Tenure Track Assistant Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC), specifically in the Institute of Architecture (IA). She leads the Laboratory for Creative Computation (CRCL) and concurrently heads the Diversity Office at ENAC, demonstrating dual commitments to technological innovation and institutional equity. Her research pioneers intersections of digital fabrication, robotics, and sustainable architecture, with particular focus on transforming construction waste into valuable resources. Through computational design and robotic assembly, she develops novel methodologies for upcycling concrete rubble and timber into structurally sound building components, directly addressing circular economy challenges in construction. Her work bridges theoretical frameworks with physical prototyping, emphasizing human-robot collaboration and material reintegration. Analysis of her recent publications reveals a cohesive trajectory toward waste valorization through digital processes, with concrete rubble masonry and timber reuse forming the core technical pillars. These investigations consistently integrate robotic fabrication, structural validation, and circular design principles across 15+ publications since 2023, establishing new paradigms for resource-efficient construction. As an academic advisor, she supervises four PhD candidates (Grangeot Maxence, Skevaki Eleni Maria, Vallat Gabriel Rémi, Wang Jingwen) while contributing to architectural education through courses like "Digital design and making: A critical introduction" that merge technical skill development with theoretical critique. Her leadership extends to the ENAC Teaching Committee and institutional diversity initiatives, reflecting comprehensive engagement with academic community development. Her operational base at CRCL (https://crcl.epfl.ch) provides the technical infrastructure for robotic experimentation, while her Diversity Office role (https://www.epfl.ch/schools/enac/about/diversity-office/) demonstrates parallel commitment to inclusive academic environments. This dual focus positions her at the forefront of both technological innovation and cultural transformation within architectural academia.
Dr. Lauren McGarry is a researcher at Queen's University Belfast, specializing in systems engineering and robotics. Her work focuses on improving industrial robot accuracy through machine learning and Industry 4.0 technologies, particularly in aerospace assembly applications. As a recipient of multiple research prizes, including the 2019 SMAE Sir Bernard Crossland Poster Competition and 2020 EPS Faculty Poster Competition awards, she has published extensively in peer-reviewed journals and conferences. Research Interests: Machine Learning, Robotics, Aerospace Engineering, Industry 4.0, Automation Institutional Affiliation: Queen's University Belfast Her recent publications analyze ISO standardization for robot base frames, develop decision support tools for automation, and explore cyber-physical systems in industrial contexts. She has contributed datasets like the Multilayer Perceptron Example Code and 2000 Point UR10 Robot Program . Scientific Awards: 1st Place SMAE Sir Bernard Crossland Poster Competition Winner (2019) EPS Faculty Poster Competition Winner (Jun 2020)
Dr. Yuanjing Lin is an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology. Her research centers on nanostructured materials and fabrication techniques for printable/wearable electrochemical sensors and energy storage devices, with applications in self-powered systems, health/environmental monitoring, and intelligent robotics. Ph.D., Electronic and Computer Engineering, Hong Kong University of Science and Technology (2014–2018) Visiting Research Student, UC Berkeley (2018) B.Eng., Electronic Science and Technology, Nankai University (2010–2014) Her work bridges flexible electronics, self-powered sensing, and digital healthcare. She has contributed to over 50 publications in top journals like Nature , Nature Nanotechnology , and Science Advances , focusing on wearable biosensors, textile electronics, and energy storage systems. Articles highlight advancements in printable photonic materials, sweat-activated micro-batteries, and self-powered sensing systems, with trends in flexible micro/nano electronics, biomedical applications, and sustainable energy solutions. IAAM Fellow (2025) Nano Letters Early Career Board (2025) Nanoscale Emerging Investigators (2024) SUSTech Excellent Teaching Award (2023) iCanX Summit Best Paper Award (2022) Dr. Lin actively recruits graduate/postdoctoral researchers in sensors, flexible electronics, and biomedical engineering. She serves as Associate Editor for Frontiers in Nanotechnology and editorial board member for Nano Letters , Biosensors , and FlexMat .
Gene Zak serves as Associate Professor in the Department of Mechanical and Materials Engineering within Queen's University's Faculty of Engineering and Applied Science. His research centers on advanced laser manufacturing processes, with specialization in polymer joining and ceramics machining. Current facilities include the Laser Ceramic Processing Laboratory and Rapid Laminated Tooling Laboratory. Dr. Zak's research focuses on laser transmission welding of thermoplastics , examining light-material interactions, thermal dynamics, and weld integrity. Key areas include optical property characterization of polymers (glass fiber effects, crystallinity, carbon black), process parameter optimization (scan paths, intensity distribution), and defect analysis (read-through, degradation). His work extends to laser ceramics machining for precision applications and historical contributions in robotic systems. Analysis of his 15 most recent publications (2011-2022) reveals consistent advancement in computational modeling of laser-polymer interactions, with increasing emphasis on multi-physics simulations and defect prediction. The research trajectory shows evolution from experimental parameter studies toward sophisticated thermal-optical modeling for industrial process control. Dr. Zak directs the Laser Ceramic Processing Laboratory housing a three-source system (UV 7-W, Nd:YAG 100W, CO2 250W lasers) with 6-axis motion control, operational 2004-2015. His Rapid Laminated Tooling Laboratory supports layered manufacturing research, including embedded sensor development and composite fabrication techniques.
Dr. Donal Holland is a researcher at the University College Dublin (UCD) and a funded investigator at Insight Centre. He co-leads the UCD Rehabilitation Engineering and Robotics Lab with Dr. Giacomo Severini, focusing on the intersection of technical knowledge, mechanical design, robotics, and biomechanics. His work addresses the creation and dissemination of technical knowledge, STEM education outreach, and soft robotics for rehabilitation applications. Key Research Areas: Rehabilitation Engineering, Soft Robotics, Design Pedagogy, Wearable Sensors, and Biomechanics. Recent publications highlight advancements in soft robotic actuators, predictive control systems for human movement, and educational tools like DEFT and the Soft Robotics Toolkit. His lab’s work includes devices for stroke rehabilitation and wearable biomedical applications. The most recent articles (2024–2018) span Robotics, Neuroscience, Materials Science, and Education. Themes include neural controllers for mobility, 3D-printed actuators, design knowledge reuse, and the integration of technology into rehabilitation. Subfields emphasize predictive simulations, wearable devices, STEM outreach, and materials engineering. Labs & Teams: Co-leader of the UCD Rehabilitation Engineering and Robotics Lab, he develops tools for rehabilitation robotics and open-access platforms to support researchers and educators globally.
Dimitrios Apostolopoulos serves as Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), within the Division of Information Transmission Systems and Material Technology. His academic foundation was built at NTUA where he earned both Diploma (2004) and Ph.D. (2009) degrees, followed by an MBA from Hellenic Open University. His educational qualifications include: Diploma in Electrical and Computer Engineering, NTUA (2004) Ph.D. in Electrical and Computer Engineering, NTUA (2009) MBA, Hellenic Open University Prof. Apostolopoulos specializes in optical communication systems, optical wireless technologies, and converged optical-wireless networks, with particular expertise in photonic integrated circuits for telecom/datacom/sensing applications and optical computing for AI. His research directly addresses next-generation network challenges through photonic innovation, bridging theoretical frameworks with practical engineering solutions for 5G/B5G/6G systems. Analysis of his 2024-2025 publications reveals dominant themes in 6G hybrid transport architectures (fiber/FSO/mmWave), silicon photonics for aerospace environmental sensing, and integrated optical components for Lidar/gas detection systems. This work demonstrates consistent progression from fundamental photonic research to real-world deployment scenarios. His scientific recognition includes: Dimitris N. Chorafas Foundation Award (2009) for doctoral contributions to all-optical broadband communications Prof. Apostolopoulos actively leads over 15 European/national research projects while serving on technical committees for ECOC, IEEE GLOBECOM, and N&N conferences. As co-chair of EuCNC/6G Summit's Wireless/Optical/Satellite Networks track, he shapes next-gen network standards. His teaching portfolio spans undergraduate telecommunications courses from circuit analysis to optical network design. He maintains active collaboration within photonic research teams through projects like Int5Gent and Int5gent, focusing on integrated solutions for communications infrastructure and sensing applications across aerospace and environmental monitoring domains.
