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Yuu OnoView profile

Associate Professor

• Biomedical Engineering
• Medical Imaging
• Ultrasound Technology
• +3 more

Yuu Ono is an Associate Professor in the Department of Biomedical Engineering at Carleton University. He holds a Ph.D. from Tohoku University, Japan, and is a registered Professional Engineer (P.Eng.). His work focuses on biomedical ultrasound technology, wearable sensors, and medical imaging applications. He is affiliated with the Ottawa-Carleton Institute for Biomedical Engineering (OCIBME), Ottawa-Carleton Institute for Electrical and Computer Engineering (OCIECE), and the IEEE Ottawa Engineering in Medicine and Biology Society (EMBS). Research interests include sensors development, biomedical monitoring/diagnosis, tissue characterization, and ultrasonic imaging methods. His lab, the Biomedical Ultrasound Lab, explores innovations in wearable ultrasound for real-time clinical applications such as lung sliding detection, cardiovascular monitoring, and musculoskeletal assessment. Teaching responsibilities include courses like Image Processing for Medical Applications, Medical Imaging Modalities, and Biomedical Engineering Seminars. His recent publications emphasize wearable sensor integration, automated segmentation algorithms, and ultrasound-based diagnostics for conditions like pneumothorax and carotid artery analysis. No scientific awards are explicitly listed in the provided text. Research focuses on advancing medical sensor technology with emphasis on clinical translation and real-world applications.

• Cyber-Physical Systems
• Industry 4.0
• Augmented Reality
• +4 more

Thomas Ludwig is a Professor of Information Systems with a focus on Cyber-Physical Systems at the University of Siegen. He holds a PhD (summa cum laude) from the same institution and has led numerous research initiatives in Industry 4.0, digital transformation, and human-centered technology design. His work spans augmented reality (AR), gamification, and AI integration in manufacturing. Ludwig co-founded and coordinates the 'Mittelstand 4.0-Kompetenzzentrum Siegen' to support SMEs in digitalization. He has authored over 50 publications in top-tier journals and conferences, including Computer Supported Cooperative Work (CSCW) and Proceedings of the ACM on Human-Computer Interaction . His research has been recognized with awards such as the IHK Preis 2017 for Best Dissertation and the Artur-Woll-Preis. Education: Diplom-Wirtschaftsinformatiker from University of Siegen (2012), PhD in Information Systems (2016), with a focus on socio-technical systems and mobile/social media research. Research Interests: Cyber-Physical Systems, AR applications, gamification design, AI in production planning, and digital competency frameworks for SMEs. He leads projects like Fusion, KOKOS, and EKPLO, addressing challenges in collaborative work, disaster management, and industrial digitalization. Grants & Projects: Projects include EU-funded EMERGENT, BMBF-funded KOKOS, and the self-acquired EKPLO initiative for APS systems in SMEs. He also coordinates the Zukunftszentren KI NRW and the EDIH Südwestfalen. Awards: 32. IHK Preis 2017, Artur-Woll-Preis, pwc-Preis, and multiple best paper awards at international conferences. Labs/Teams: Part of the Cyber-Physical Systems Lab at University of Siegen and the interdisciplinary team behind the 'Rendezfood' and 'Advanced Planning Systems' initiatives.

Meredith CarrollView profile

Professor

• Aviation Human Factors
• Human-Autonomy Teaming
• Urban/Advanced Air Mobility (AAM/UAM)
• +5 more

Dr. Meredith Carroll is a Professor of Aviation Human Factors and Director of the ATLAS Lab at Florida Institute of Technology's College of Aeronautics. She holds a B.S. in Aerospace Engineering from the University of Virginia, an M.S. in Aviation Science from Florida Tech, and a Ph.D. in Applied Experimental Psychology and Human Factors from the University of Central Florida. Her research focuses on human performance in aviation systems, including decision-making under stress, human-autonomy teaming, advanced air mobility (AAM), and cybersecurity education. Key research initiatives include: Investigating trust dynamics in human-agent teams funded by AFOSR User-centered design of multi-UAV ground control stations for NASA eVTOL battery display design and pilot interface studies Cybersecurity curriculum development for underrepresented high school students Adaptive flight training strategies funded by the Naval Air Warfare Center Her lab facilities include Florida Tech's Center for Aeronautics and Innovation with advanced flight simulators and UAS testing environments. Current projects explore VR training immersion effects, multi-agent team repair strategies, and AAM operational challenges. She advises 12+ graduate and undergraduate researchers and collaborates with industry partners like P17 Solutions and Rockwell Collins. Recent publications emphasize trust calibration in autonomous systems, IoT-based cybersecurity education, and adaptive training efficacy. She has secured grants from NASA, FAA, AFRL, ONR, and NAWC totaling over $5M in external funding.

Yelda TurkanView profile

Associate Professor

• Digital twins
• Scan-to-BIM
• Machine learning
• +7 more

Dr. Yelda Turkan is an Associate Professor in the School of Civil and Construction Engineering at Oregon State University and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). Her research focuses on leveraging computer vision, machine learning, and digital twins to enhance sustainability and resilience in the built environment. She holds a Ph.D. in Civil Engineering from the University of Waterloo, Canada, and dual B.Sc. degrees in Civil Engineering and Geomatics Engineering from Istanbul Technical University, alongside an M.Sc. in Remote Sensing. Her work integrates advanced technologies like LiDAR and BIM to improve construction monitoring, structural safety, and fire protection. She has authored over 80 peer-reviewed publications and secured $4.5M in grants from agencies like the NSF. Dr. Turkan serves as Vice President of the International Association for Automation and Robotics in Construction and chairs the ASCE Computing Division Executive Committee. Her research spans digital twins for infrastructure performance, fire safety simulations, and automated progress tracking. Key contributions include frameworks for bridge construction monitoring, fire safety management in timber structures, and BIM-based energy fault detection. Awards include the Robert C. Wilson Faculty Scholar (2023–2025) and ASCE ExCEEd Teaching Fellow (2015).

• Robotics
• Machine Learning
• IoT Applications
• +4 more

Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.

Mark PriceView profile

Professor

• Aerospace Engineering
• Mechanical Engineering
• Design Automation
• +3 more

Professor Mark Price is a leading academic in engineering at Queen's University Belfast, holding the title of Professor of Aeronautics in the School of Mechanical and Aerospace Engineering. He specializes in aerospace engineering, mechanical engineering, and advanced manufacturing technologies. His research focuses on bio-inspired design, cloud-based manufacturing systems, and design automation. He has held key administrative roles, including Pro-Vice-Chancellor for Engineering and Physical Sciences (2015-2020) and Head of the School of Mechanical and Aerospace Engineering (2011-2015). Education: BEng (First Class Honours) in Aeronautical Engineering, Queen's University Belfast (1987) MEng in Engineering Computation, Queen's University Belfast (1988) PhD in Mechanical Engineering (Hexahedral Finite Element Mesh Generation), Queen's University Belfast (1993) Research Interests: Professor Price’s work explores disruptive design technologies, including bio-inspired generative design methodologies, cloud-based manufacturing systems, and sustainable engineering practices. His current projects include the EPSRC Programme Grant on 'Re-Imagining Engineering Design' and the 'Design the Future 2' initiative, which aim to integrate design and manufacturing processes inspired by natural systems. He has published over 240 articles and supervised 30 PhD students. Awards: 2006 Thomas Hawksley Medal from the IMechE Best Paper Gold Award (17th International Conference on Manufacturing Research, 2019) Best Paper Prize (Journal of Materials and Design, 2012) Advising & Grants: Supervised 30 completed PhD students Principal Investigator of EPSRC grants totaling millions Lead on international collaborations, including the UK-China E9 Consortium Labs & Teams: Professor Price leads the Re-Imagining Engineering Design project (EPSRC Programme Grant) and the Biohaviour initiative (EP/R003564/1). He is affiliated with the Research Centre in Sustainable Energy Aerospace and Manufacturing and has contributed to the Northern Ireland Advanced Composites and Engineering Centre (NIACE).

Olfa Lopez-D’AngeloView profile

Researcher

• Granular Rheology
• Additive Manufacturing
• Space Technology
• +3 more

Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.

Jamey JacobView profile

Professor

• Aerodynamics
• UAV Design & Flight Testing
• Vortex Dynamics
• +5 more

Jamey Jacob, Ph.D., P.E., is a Professor and John Hendrix Chair in Mechanical and Aerospace Engineering at Oklahoma State University, leading the Oklahoma Applied Research Institute (OAIRE). He holds a Ph.D. from UC Berkeley (1995), with earlier degrees from the same institution and the University of Oklahoma. His research focuses on aerodynamics, UAV design, vortex dynamics, geophysical flows, and autonomous systems. Notable projects include solar balloon flight dynamics, eclipse observations, and advanced air mobility (AAM) weather systems. Jacob has pioneered UAV-based weather sensing and developed innovative aerostructures, including inflatable systems. He has received over 15 prestigious awards, including the Regents Distinguished Teacher (2011) and Oklahoma Innovator of the Year (2010). His recent work emphasizes urban wind field mapping and stratospheric balloon applications for planetary science. Jacob’s lab, OAIRE, integrates aerospace engineering with environmental and operational challenges, advancing both academic and applied frontiers.

Jerome F. HajjarView profile

Professor

• Sustainable and Resilient Steel Structures
• Composite Steel/Concrete Structures
• Earthquake Engineering
• +7 more

Jerome F. Hajjar is a University Distinguished Professor and CDM Smith Professor in the Department of Civil and Environmental Engineering at Northeastern University, with an affiliation in Marine and Environmental Sciences. He holds a PhD in Structural Engineering from Cornell University (1988) and is a licensed Professional Engineer in Illinois and Minnesota. PhD, Structural Engineering, Cornell University, 1988 MS, Structural Engineering, Cornell University, 1985 BS, Engineering Mechanics, Yale University, 1982 Hajjar’s research focuses on sustainable and resilient steel/concrete composite structures , earthquake engineering , structural stability , and large-scale experimental testing . He pioneered design for deconstruction and physics-guided machine learning for structural analysis. His work addresses climate change risks through offshore wind resilience and hurricane risk assessment. His recent publications emphasize carbon reduction strategies via steel-CLT hybrids, machine learning techniques for seismic modeling, and experimental programs on composite diaphragms. Hajjar’s projects include the STReSS Laboratory , equipped with a reinforced concrete strong floor for full-scale structural testing. 2025 William H. Wisely American Civil Engineer Award 2025 SSRC Distinguished Member Award 2021 AISC Lifetime Achievement Award 2018 Robert D. Klein Lectureship 2007 ASCE Fellow Hajjar mentors PhD students, including R. Bailey Bond (2024), and leads major initiatives like the Academic Center for Reliability and Resilience of Offshore Wind (ARROW) and the Steel Diaphragm Innovation Initiative . His advocacy extends to integrating sustainability, resilience, and equity into national building codes through roles in the Structural Engineering Institute and American Society of Civil Engineers.

• Eye Tracking Methodology
• Human-Computer Interaction
• Computer Graphics
• +5 more

Andrew T. Duchowski is a Professor at Clemson University, specializing in Eye Tracking Methodology, Human-Computer Interaction, and Computer Graphics. His work spans over two decades with significant contributions to gaze-based interaction systems, foveated rendering, and cognitive load measurement. He authored three editions of the influential textbook Eye Tracking Methodology (Springer, 2003/2007/2017). Duchowski's research integrates eye movement analysis with applications in virtual reality, medical imaging (e.g., colonography viewers), and aviation safety. He actively collaborates with institutions globally and serves on editorial boards for journals like Proceedings of the ACM on Human-Computer Interaction . His recent projects include developing real-time gaze analytics pipelines and exploring entropy-based metrics for visual attention analysis. Publications (selected 15 recent): Focus on advancing gaze interaction in immersive environments, optimizing 3D visualization, and measuring cognitive load through pupillary activity and microsaccades. Key co-authors include Krzysztof Krejtz, Matias Volonte, and Donald House.

Marc ToussaintView profile

Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +3 more

Marc Toussaint is Full Professor leading the Learning & Intelligent Systems Lab at TU Berlin's EECS Faculty. His research integrates machine learning, optimization, and AI reasoning to solve fundamental robotics problems like physical reasoning and human-robot interaction. He holds a physics diploma from University of Cologne and PhD from Ruhr-Universität Bochum. Key research themes include: Task-motion planning integration Reinforcement learning for robotics Physical simulation and control Probabilistic inference methods Recent publications focus on efficient kinodynamic planning, belief space planning under uncertainty, and neural policy learning. He develops open-source robotic tools like the 'robotic python package' used in academic courses worldwide. Toussaint collaborates with Amazon Robotics and MIT CSAIL, and has held positions at Max Planck Institute and University of Stuttgart.

• Software engineering
• Safety critical systems
• Formal methods
• +7 more

Ana Lucia Caneca Cavalcanti is a Professor of Computer Science at the University of York, leading the SER research group with expertise in formal methods for safety-critical systems. Her work bridges theoretical software engineering with practical applications in robotics and autonomous systems, emphasizing verification and reliability. BSc in Computer Science, Universidade Federal de Pernambuco, Brazil (1987) MSc in Computer Science, Universidade Federal de Pernambuco, Brazil (1990) DPhil in Computer Science, Oxford University (1997) Her research centers on formal methods, safety-critical software engineering, and real-time systems, with recent focus on robotics. She develops semantic frameworks for refining and verifying complex systems, particularly in adaptive robotic control. Her methodologies address concurrency, object-orientation, and tooling to ensure correctness in high-stakes environments like autonomous vehicles. Current publications reveal a cohesive trend: applying process algebra and architectural patterns to robotic software verification. This work targets safety assurance in adaptive systems, integrating formal semantics with physical robot modeling to mitigate risks in autonomous decision-making. Scientific recognition includes: Royal Society Wolfson Research Merit Award She directs major funded initiatives including RoboSapiens (European Commission, 2024-2026) on human-robot symbiosis, DOMINOS (EPSRC, 2024-2025) for AI disruption mitigation, and the UK Trustworthy Autonomous Systems Verifiability Node (EPSRC, 2020-2024). These projects involve industrial collaborations with Labman Automation and RoboTest, focusing on verifiable safety frameworks. As SER research group lead, she oversees a team advancing formal verification techniques for next-generation autonomous systems, with active partnerships in the High Integrity Systems ecosystem at York.

Salvatore LivatinoView profile

Associate Professor

• Immersive Systems
• Virtual Reality (VR)
• Augmented Reality (AR)
• +7 more

Salvatore Livatino is an Associate Professor in Virtual Reality and Robotics at the University of Hertfordshire, UK. He holds a MSc in Computer Science from the University of Pisa (1993) and a PhD in Computer Science and Engineering from Aalborg University, Denmark (2003). His academic journey includes roles as Research Fellow and Associate Professor at Aalborg University, as well as visiting positions at institutions like INRIA Grenoble and the University of Edinburgh. He leads the Communications and Intelligent Systems research group and directs the Virtual Reality and Robotics Laboratory. His research focuses on immersive technologies (VR/AR/XR), stereoscopic 3D visualization, and teleoperation systems for applications in robotics, healthcare, and command-and-control interfaces. He has contributed to over 30 peer-reviewed publications and secured funding for projects such as the Innovate UK-backed 'iDOC: AI Empowered Document Authoring' (2023–2025) and 'Immersion for Care: Using Extended Reality in Healthcare Training' (2025–2027). Teaching expertise includes problem-based learning, 3D visualization, and immersive game design. His work spans interdisciplinary collaborations in robotics, AI, and healthcare, emphasizing practical applications of virtual environments.

Ahmet Zafer ŞENALPView profile

Professor

• Finite Element Analysis
• Metal Forming
• Plasticity Theory
• +4 more

Prof. Dr. Ahmet Zafer ŞENALP is a Professor at the Department of Mechanical Engineering (English Program) at Doğuş Üniversitesi. He holds a PhD in Mechanical Engineering from ODTÜ (1998) and has extensive experience in CAD/CAM Robotics and metal forming processes. His academic career includes roles at Gebze Yüksek Teknoloji Enstitüsü (1999–2012 as Assistant Professor, promoted to Associate Professor by 2012) and Gebze Teknik Üniversitesi (until his retirement as an Associate Professor in 2019). His research focuses on finite element analysis, metal forming, plasticity theory, and ergonomic design. Education: BSc (1989), MSc (1991), and PhD (1998) in Mechanical Engineering from ODTÜ. He worked at ODTÜ CAD/CAM Robotics Center (1989–1998) and served in the military on the Panter Obüs project (1998–1999). Research Interests: Finite Element Analysis (FEA) applied to biomechanics, pressure vessels, prosthetics, and manufacturing processes. He also explores metal forming techniques, CAD/CAM integration, and material deformation mechanics. Publications span FEA-based studies on human joint forces, pressure vessel buckling, prosthetic design, and manufacturing optimization. His work often bridges computational methods with practical engineering challenges. Teaching includes courses on FEA fundamentals, mechanical vibrations, and design methodologies in both Turkish and English.

Ding Ze YangView profile

Lecturer

• Industrial AI
• Deep Learning
• Data-Driven Modeling
• +4 more

Dr. Ding Ze Yang is a Lecturer in the Department of Electrical and Robotics Engineering at Monash University Malaysia. He holds a PhD (2023) and Bachelor's degree (2019) in Engineering from the same institution. His research focuses on Industrial AI, emphasizing data-driven soft sensors for industrial process monitoring, with applications in manufacturing, energy, and logistics. He has published in journals like IEEE Transactions on Industrial Informatics and Soft Robotics. Education: PhD in Engineering, Monash University Malaysia (2019–2023) Bachelor of Engineering (Honours) in Electrical and Computer Systems Engineering, Monash University Malaysia (2015–2019) Research Interests: Industrial AI, deep learning, data-driven modeling, process monitoring, autonomous systems, and soft sensor development. His work addresses challenges in predictive maintenance, process optimization, and sustainable manufacturing through AI-driven solutions. Publications: Recent work includes contributions to soft sensor modeling, transfer learning for multi-agent systems, and Kalman filter optimization. These publications highlight advancements in industrial AI applications. Collaborations: Active collaborations include projects on soft robotics, energy storage systems, and autonomous transportation. He is open to supervising PhD students in these areas.