جست‌وجوی استاد و پژوهشگر

Simon Poppingaمشاهده پروفایل

مدرس ارشد

• Plant biomechanics
• Carnivorous plants
• Biomimetics
• +۲ مورد دیگر

PD Dr. Simon Poppinga is a Senior Lecturer and Scientific Director of the Botanical Garden at Technische Universität Darmstadt. His research focuses on plant biomechanics, carnivorous plants, biomimetics, functional morphology, and plant movements. He leads projects such as 'Biological and bioinspired autonomous hygroscopic materials systems' and collaborates on 4D-printing applications inspired by plant structures. His work bridges plant biology with engineering, emphasizing biomimetic design for soft robotics and materials science. Research interests include the biomechanics of plant movements (e.g., Venus flytraps), structural adaptations in pine cones, and hygroscopic materials inspired by carnivorous plants. His contributions span interdisciplinary fields, integrating experimental techniques like digital image correlation and MRI to study plant behavior. Publications highlight innovations in bioinspired actuators, material-based sensing, and the application of plant-inspired mechanisms in wearable systems. Poppinga’s research is funded by Germany’s Excellence Strategy (DFG) and involves collaborations with institutions like the IDEASfactory@FIT. He actively contributes to events such as the livMatS Colloquium, promoting interdisciplinary biomimetics research.

• Robotics
• Agricultural Automation
• Sensor Technology
• +۳ مورد دیگر

Hugh Zhou is a Research Fellow in the Department of Mechanical & Aerospace Engineering at Monash University. His work focuses on advancing robotic harvesting systems, automation in orchards, and sensor integration for agricultural applications. He has contributed to projects such as the Monash Apple Retrieving System and Phenobot, an autodigital phenotyping tool for horticulture. His research emphasizes real-time defect detection, tactile sensing for obstacle handling, and 3D fruit detection algorithms. Collaborations span international institutions, with contributions to precision agriculture and sustainable development goals related to food production efficiency. Key publications include advancements in robotic end effectors, soft robotic actuators, and slip detection methods. His work bridges mechanical engineering, computer vision, and agricultural automation, addressing challenges in fruit harvesting efficiency and system intelligence.

Emma Wilsonمشاهده پروفایل

مدرس

• Systems and Control Theory
• Digital Health Applications
• Adaptive Treatments
• +۵ مورد دیگر

Dr Emma Wilson is a Lecturer in the Computing and Communications department at Lancaster University, focusing on systems and control theory applied to healthcare and biological systems. Her interdisciplinary research integrates engineering principles with biomedical challenges to improve health outcomes, including adaptive treatments, bio-inspired robotics, and muscle modeling. Her research spans multiple areas such as control theory, bio-inspired control mechanisms, brain-based robotics, and computational modeling of biological systems. A key theme is translating insights from biological systems into engineered solutions and vice versa, particularly in digital health applications like personalized treatment decisions and dynamic health modeling. Recent work includes developing robust control algorithms for anticoagulant therapies and neuro-inspired adaptive systems for robotics. She leads projects like DCQ (Cyber Security of Digital Medical Devices) and collaborates on initiatives like the Health Behavior Change research group. Her publications reflect a blend of theoretical control systems research with practical healthcare applications. Dr Wilson is affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA) and the Data Science Centre (SCC), emphasizing her role in cutting-edge interdisciplinary research.

Ahmed Haouzمشاهده پروفایل

پژوهشگر

• Structural Biology
• Macromolecular Crystallography
• X-ray Diffraction
• +۷ مورد دیگر

Ahmed Haouz is a researcher at the Institut Pasteur in Paris, France, affiliated with the Center for Technological Resources and Research (C2RT) and the Department of Structural Biology and Chemistry. He serves as Head of Structure, leading a platform that provides expertise in macromolecular crystallography, automated crystallization, and X-ray diffraction services. His work supports numerous research groups within the institute and external collaborators, contributing to structural studies of proteins, DNA complexes, and drug targets. His research interests span Structural Biology , Macromolecular Crystallography , Protein-DNA Interactions , Infectious Diseases , and Drug Design . He applies X-ray crystallography and structural bioinformatics to understand molecular mechanisms in pathogens such as Plasmodium (malaria), poxviruses, and bacteria, and to support rational drug development. His recent publications (2024–2025) reveal a strong focus on structural mechanisms in virology, oncology, immunology, and parasitology. These include studies on antiviral drugs, malaria inhibitors, DNA repair enzymes, and immune responses to anesthetic drugs. The work demonstrates interdisciplinary collaboration across immunology, cancer biology, and structural biophysics. Scientific Awards: No awards mentioned in the provided text. He actively collaborates with principal investigators and research engineers across the Institut Pasteur, particularly in structural biology and infectious disease projects. His team contributes to core technological infrastructure, enabling high-throughput structural analysis. He is involved in projects funded by ANR, PTR, and institutional grants, supporting both basic and translational research. Laboratories and Teams: He is a key member of the crystallography platform within the Technology Department, operating advanced robotics and X-ray systems for structural analysis. The platform is part of the Center for Technological Resources and Research, which integrates core facilities to support cutting-edge biomedical research at the Institut Pasteur.

• Biomimetic Architecture
• Artificial Intelligence in Design
• Extended Reality (XR)
• +۵ مورد دیگر

Mauro Costa Couceiro is a Professor and Senior Researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture), University Institute of Lisbon. His research integrates biomimetic principles, AI, XR, and robotics into architectural design, emphasizing sustainability and human-nature interaction. He leads the FCT-funded project Generative Architectural Design: Promoting Human-Biome Interaction through Traditional Approaches and Emerging Technologies and previously co-directed the Santa Cruz Research Project at the University of Coimbra, focused on UNESCO heritage preservation. Education: PhD in Architecture (Universitat Internacional de Catalunya, 2009), Master's degrees in World History of Architecture/Urbanism and Bio-digital Architecture/Genetics, and a six-year Architecture degree from Technical University of Lisbon. Research Interests: Biomimetic architecture, AI/XR applications in design, generative methodologies, sustainable solutions through robotics (Industry 4.0), and digital manufacturing (CAD/CAM). His work bridges biological systems with technological innovation for adaptive environments. Publications: His recent works (2017–2024) explore biomimicry, VR/AR heritage reconstruction, and urban innovation. Trends include algorithmic modeling, sustainable material use, and cognitive extensions via technology. Advising & Grants: Supervised 2 PhD and 17 Master’s students. Current grant leadership includes FCT projects on generative architecture. Collaborations span institutions like Hongik University, University of São Paulo, and IAAC Barcelona. Labs/Teams: Affiliated with ISTAR-Iscte’s Digital Living Spaces group, focusing on human-machine-nature interactions and computational design.

• Evolutionary Algorithms
• Swarm Robotics
• Optimization
• +۳ مورد دیگر

Prof. Ben Paechter is a leading academic at the School of Computing Engineering and the Built Environment , Edinburgh Napier University, specializing in evolutionary algorithms and swarm robotics. As a Professor , he has shaped research directions in computational optimization and adaptive systems for over two decades. Research Themes : Evolutionary Swarm Robotics, Multi-Objective Optimization, Hyper-heuristics, Neural Architecture Search Key Projects : FOCAS (European Commission), KTP: Intelligent Agents (Innovate UK), PerAda (Self-Aware Systems) Collaborations : CAVES Research Group, Centre for Algorithms, Visualisation and Evolving Systems His article trends demonstrate expertise in cross-domain hyper-heuristics, swarm behavior tree evolution, and neural network architecture optimization. Recent works (2023-2024) focus on GPU-accelerated evolutionary algorithms and hierarchical swarm control systems. Scientific Awards : Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) GECCO Best Paper Nomination (2018) Advising & Grants : Supervised 5 PhD students including Paul Lapok (planar mechanisms) and Andreas Steyven (swarm diversity). Secured £2.2M+ in funding across 13 projects, including EU FOCAS (£639,999) and Innovate UK grants.

• Evolutionary Computation
• Swarm Robotics
• Optimisation Algorithms
• +۴ مورد دیگر

Professor Emma Hart is a leading academic at Edinburgh Napier University , affiliated with the School of Computing Engineering and the Built Environment and the Centre for Algorithms, Visualisation and Evolving Systems . Her research focuses on evolutionary computation , swarm robotics , and optimisation algorithms , with applications in ecology, cybersecurity, and AI-driven design. Education: 1 st Class Honours in Chemistry (Oxford), MSc and PhD in AI (Edinburgh) Leadership: Former Editor-in-Chief of Evolutionary Computation (MIT Press, 2017–2023), ACM SIGEVO Board member, and key contributor to Scotland’s AI Strategy (2021). Her research spans evolutionary robotics, lifelong learning systems, and explainable AI. Recent work includes using novelty search to engineer diverse robot swarms, XAI for algorithm configuration, and LLM-evolved heuristics for bin packing. She explores fitness landscapes and attractor analysis to improve optimisation model robustness. Scientific Awards include the ACM SIGEVO Outstanding Contribution Award (2023) Fellow of the Royal Society of Edinburgh (2022) Bronze Humies Award (2018) Best Paper Award@GECCO 2019 She supervises PhD students such as Grant Anderson Kirsty Montague Kelly Hunter Magnus Janson Fiona Stewart and has led over £2M in grants, including EPSRC , Innovate UK , and EU projects on autonomous robot evolution and lifelong learning systems.

José Fernando Lopes Barbosaمشاهده پروفایل

استاد مدعو

• Cyber-Physical Systems
• Multi-Agent Systems
• Manufacturing Automation
• +۳ مورد دیگر

José Barbosa is a Senior Researcher at the Research Centre in Digitalization and Intelligent Robotics (CeDRI) and an Invited Professor at the Department of Electrical Engineering, Polytechnic Institute of Bragança, Portugal. He holds a PhD in Automation and Computer Science from the University of Valenciennes (France) and has extensive experience in European-funded projects like ARUM, GRACE, DA.RE, GO0DMAN, and PERFoRM. His expertise spans Cyber-Physical Systems, Multi-Agent Systems, and manufacturing automation, with over 40 international publications. Research focuses on self-organizing manufacturing architectures, digital twins, and bio-inspired mechanisms. He teaches courses including Microcontroller/Microprocessor Systems, Automation, and Electric Propulsion. Projects emphasize Industry 4.0, zero-defect manufacturing, and intelligent products. His work intersects IoT, data analytics, and human-machine integration in industrial systems.

Scott David Kellyمشاهده پروفایل

استاد

• Geometric Mechanics
• Robotic Locomotion
• Nonlinear Dynamics
• +۳ مورد دیگر

Scott David Kelly is a Professor of Mechanical Engineering and Engineering Science at the University of North Carolina at Charlotte (UNC Charlotte), affiliated with the William States Lee College of Engineering. He holds an Honors Faculty position until June 2026. His research focuses on geometric mechanics, nonlinear dynamics, and control systems, particularly in bio-inspired robotics and fluid dynamics. Kelly earned his B.S. from Cornell University (1991), M.S. and Ph.D. from Caltech (1992, 1998), followed by a postdoc at Caltech and industry experience at Entelos before joining UNC Charlotte in 2007. Education: B.S., Mechanical & Aerospace Engineering, Cornell University, 1991 M.S., Mechanical Engineering, California Institute of Technology, 1992 Ph.D., Mechanical Engineering, California Institute of Technology, 1998 Research interests include differential geometric methods in mechanics, bio-inspired robotic locomotion, and nonlinear control systems. His work often explores energy-efficient systems inspired by nature, such as aquatic propulsion via vortex shedding and multi-vehicle coordination. Recent publications span topics like inertial particle transport in fluids and HIV prevalence modeling. Teaching involves courses on mechanical engineering and applied mathematics. He contributes to labs and teams focused on fluid dynamics and robotics. Contact details include email addresses and his office at Duke Centennial Hall.

Onaizah Onaizahمشاهده پروفایل

استادیار

• Microrobotics
• Soft Continuum Robots
• Medical Robotics
• +۶ مورد دیگر

Dr. Onaizah Onaizah is an Assistant Professor at McMaster University’s Department of Computing and Software and a cross-appointed member of the School of Biomedical Engineering and the Department of Mechanical Engineering. She leads the Hardware at the millimetre-scale for healthcare (HeART) Lab, focusing on developing miniature magnetic robots for biomedical applications. Her research spans robotics, magnetics, manufacturing, and clinical integration. BSc, University of Toronto (2013) MSc, Western University (2015) PhD, University of Toronto (2019) Dr. Onaizah’s work revolves around magnetic soft robots, emphasizing design, fabrication, and control for medical use. She explores programmable magnetization, real-time feedback systems, and material characterization to enhance precision in minimally invasive procedures. Her expertise includes mechatronics, vision sensing, and localization for microscale devices. Her recent publications highlight advancements in 3D-printed magnetic robots, autonomous endoscopy, and surgical tools. Key trends include the integration of machine learning for design optimization, closed-loop control for dynamic environments, and pandemic-adapted clinical protocols. Scientific recognition includes a $5.2M SSHRC and CFI grant (2024) for her research. She teaches graduate courses in microrobotics and medical robotics, emphasizing interdisciplinary collaboration between engineers, clinicians, and scientists. At the HeART Lab, she leads a multidisciplinary team of roboticists, engineers, and clinicians, addressing challenges in healthcare through hardware innovation. The lab focuses on tetherless devices, programmable materials, and integration into clinical workflows.

Stefano Cagnoniمشاهده پروفایل

دانشیار

• Evolutionary Computation
• Soft Computing
• Neural Networks
• +۹ مورد دیگر

Stefano Cagnoni is an Associate Professor in the Department of Computer Engineering at the University of Parma, Italy. He holds a PhD in Bioengineering from the University of Florence and has been a key academic figure since joining the University of Parma in 1997. His research spans soft computing, evolutionary computation, neural networks, and their applications in computer vision and biomedical imaging. PhD in Bioengineering, University of Florence (1993) Bachelor’s in Electronic Engineering, University of Florence (1988) His primary research interests include evolutionary computation , neural networks , pattern recognition , and computer vision . He has pioneered work in genetic programming, particle swarm optimization, and GPU-accelerated computing for complex system analysis. His applied research focuses on biomedical image segmentation, autonomous robotics, and signal processing, with a strong emphasis on real-world implementation and industrial collaboration. The recent publications highlight a shift toward interdisciplinary applications, including machine learning for food authenticity, financial document analysis, and healthcare monitoring systems. These works reflect a consistent use of advanced computational intelligence techniques across diverse domains such as food science, finance, and medical informatics. Scientific Awards: Evostar 2009 Award for outstanding contributions to Evolutionary Computation Stefano Cagnoni has supervised numerous research projects funded by MIUR, CNR, ASI, ENEA, and the EU (including the Marie Skłodowska-Curie MIBISOC project). He has also led industrial collaborations, such as a computer vision-based train pantograph inspection system that led to a patented industrial product. He has organized major international events like EvoApplications and WIVACE and has held editorial roles in journals such as the Journal of Artificial Evolution and Applications. He leads research in evolutionary computation and soft computing, having founded GSICE (now WIVACE) and co-chaired MedGEC. His lab focuses on developing intelligent systems for image analysis, signal processing, and autonomous navigation, often using bio-inspired algorithms and parallel computing architectures.

Gianluca Costaمشاهده پروفایل

دانشیار

• Emergency Surgery
• Trauma Surgery
• Minimally Invasive Surgery
• +۵ مورد دیگر

Gianluca Costa is an Associate Professor of General Surgery at Link Campus University , with a concurrent role as Adjunct Professor of General Surgery at University of Rome "Sapienza" since 2006. His clinical and academic focus spans Emergency Surgery, Trauma Surgery, Minimally Invasive Surgery, and Robotic Surgery, informed by leadership positions in national health authorities and editorial contributions to clinical guidelines. Education: MD from University of Rome "La Sapienza" (1987) PhD in Experimental Methodologies and Technologies Applied to Surgery (VIII Cycle) Specialization in General Surgery from University of Rome "Tor Vergata" Research Interests center on surgical innovation in emergency contexts, including: Frailty assessment in elderly surgical patients Robotic and 3D-guided minimally invasive techniques Colorectal cancer surgical outcomes Open abdomen management for complex trauma Scientific Contributions include the FRAILESEL Study and leadership in the International Register of Open Abdomen (IROA) . His awards include the 2011 Research Grant for Best Poster at the GREAT International Network Congress. Academic Leadership: He has directed training programs in Emergency Surgery, served as co-supervisor for surgical theses, and organized emergency surgical activities at the Campus Bio-Medico University's Surgery Center since 2020.

• Robotics
• Biomedical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Panaite Arun Fabian is an Assistant Professor of Engineering at the Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering, affiliated with UPET. His research focuses on interdisciplinary engineering applications, including robotics, biomedical systems, and human-machine interaction. Notable projects include AI-driven gait analysis for neurodegenerative diseases, brain-computer interfaces for educational robotics, and biomimetic prosthetic devices. His work bridges mechanical engineering with healthcare technology, emphasizing assistive technologies and motion capture systems. Research interests span robotics, biomedical engineering, and sensor technologies, with a focus on applications like prosthetics, human motion analysis, and augmented reality in robotics control. His publications since 2019 highlight trends in assistive robotics, educational robotics, and bio-inspired mechanisms. While no specific awards are listed, his contributions to neurotechnology and rehabilitation engineering demonstrate impactful research. Advising and grants details are not provided in available texts. His work often involves collaborations within the department's automation and electrical engineering fields.

Maryam Fouad Abdelatyمشاهده پروفایل

پژوهشگر

• Deep Learning
• Medical Ultrasound Imaging
• Harmonic Imaging
• +۳ مورد دیگر

Maryam Fouad Abdelaty is a researcher in the Department of Medical Engineering at Ruhr University Bochum, where she completed her PhD in September 2024. Her work focuses on applying deep learning techniques to medical ultrasound imaging, including harmonic imaging, synthetic data generation, and contrast-enhanced imaging. She holds a bachelor's degree in electronics engineering from the German University in Cairo (2015), a master's degree in bio-impedance spectroscopy for non-invasive glucose monitoring (2017), and a Dr.-Ing. degree from Ruhr University Bochum (2024). Bachelor's: German University in Cairo (2015) Master's: Thesis on joint NIR and bio-impedance spectroscopy for glucose monitoring (2017) PhD: Focused on deep learning in medical ultrasound (2024) Her research emphasizes improving imaging resolution, reducing invasiveness, and enhancing diagnostic accuracy through AI-driven methodologies. Recent work includes comparative studies of deep learning vs. traditional amplitude modulation in contrast-enhanced ultrasound, as well as semi-supervised approaches for needle localization. Her publications span conferences like IEEE Ultrasonics Symposium and IEEE ISBI, with a focus on deep learning applications in biomedical imaging. Notable contributions include synthetic ultrasound signal generation using GANs and single-shot harmonic imaging techniques. While no formal advising or grants are explicitly listed, her research demonstrates significant contributions to medical imaging innovation. No lab affiliations or teams are mentioned in the provided text.

Carsten Behnمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Control Systems
• +۳ مورد دیگر

Carsten Behn is a Professor at Hochschule Schmalkalden, specializing in Engineering Mathematics within the Faculty of Mechanical Engineering. He holds a habilitation from TU Ilmenau in biologically inspired motion systems and has served as a lecturer at Hochschule Merseburg and TU Ilmenau. Education: Diplom-Mathematiker (2001), Dr.-Ing. (2005), Dr.-Ing. habil. (2013) His research focuses on tactile sensors for surface texture and object contour detection, adaptive control in compliant robotics, and mathematical modeling of biomimetic systems. Publications emphasize sensor dynamics, mechatronic design, and applications of vibrissae-inspired engineering. Recent articles explore tactile sensor signal tuning, flow detection using artificial vibrissae, and adaptive control in snake-like locomotion systems. His work bridges mechanical modeling, control theory, and bioinspired robotics. Behn has served on technical program committees for conferences like ICINCO 2018 and IEEE IRC 2019. He supervises PhD students Moritz Scharff and Lukas Merker in Mechanical Engineering at TU Ilmenau.