جست‌وجوی استاد و پژوهشگر

Yongkuk Leeمشاهده پروفایل

دانشیار

• Flexible Electronics
• Wearable Biosensors
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Yongkuk Lee is the Department Chair and Associate Professor in the Department of Biomedical Engineering at Wichita State University. His research focuses on mechanics and materials in flexible/stretchable electronics for healthcare applications, including wearable biosensors, human-machine interfaces, and soft robotics. His lab designs and implements biocompatible electronics resembling human skin properties for real-time health monitoring and diagnostics. Key projects include smart bioelectronic pacifiers, wireless sodium sensors, and soft periocular wearables for eye therapy. Research interests span flexible electronics integration, deep learning for health monitoring, and bio-inspired sensor systems. His work bridges material science, nanotechnology, and clinical applications. He leads initiatives in wearable diagnostics, soft robotics, and universal brain-machine interfaces enabled by flexible electronics and AI algorithms. No specific scientific awards are listed, but his contributions to bioelectronics are notable in recent publications (2018-2024). Advising and grants are not detailed here, but his lab actively develops prototypes with industry applications. His interdisciplinary approach addresses challenges in salivary diagnostics, hypertension management, and neurovascular flow monitoring through innovative material designs and sensor integration.

DEBROUX Noémieمشاهده پروفایل

استادیار

• Image Processing
• Numerical Analysis
• Topology Optimization
• +۷ مورد دیگر

DEBROUX Noémie is a French academic specializing in image processing and numerical analysis. She earned her Ph.D. in 2018 from INSA Rouen, supported by the M2NUM project co-financed by the European Union and Normandie Regional Council. Currently, she is a Maître de Conférences (Assistant Professor) at Clermont Auvergne University since 2019. Her research focuses on variational models, nonlocal methods, and topology-preserving segmentation for shape analysis and biomedical imaging applications. Ph.D. in Mathematics (2018), INSA Rouen MCF (Assistant Professor) at Clermont Auvergne University (2019–present) Research partnerships with University of Cambridge, UC Los Angeles, and Monash University Her work spans three key areas: variational models for image segmentation and registration, nonlocal characterization of total variation and shape descriptors, and topology optimization for 3D printing. She integrates mathematical rigor with practical applications in biomedical imaging, materials science, and computational geometry. Her publications demonstrate expertise in joint segmentation/registration frameworks (2016–2020), nonlocal topology preservation (2017), and crack recovery in bituminous surfacing (2018). Collaborations include Dassault Systèmes (2015) and CEREMA (2015–2016). She has presented at major conferences: SIAM Imaging Science (2016), Applied Inverse Problems (2017), and ISMRM (2019). Scientific Awards: Bourse Newton (2017) for Cambridge research L’Oréal-UNESCO for Women in Science nominee (2017) Prix de la Vocation Scientifique et Technique des Filles (2017) She has supervised engineering students' projects and taught mathematical analysis, variational methods, and machine learning (2016–2018). As an elected member of INSA Rouen's Scientific Council (2015–2016), she contributed to academic governance.

• Formal Languages
• Membrane Computing (P Systems)
• Theoretical Computer Science
• +۴ مورد دیگر

Rudolf Freund is a retired Professor at the Vienna University of Technology (TU Wien), affiliated with the Department of Theory and Logic (E192-05) under the Faculty of Informatics. His research focuses on formal languages, membrane computing (P systems), theoretical computer science, and bio-inspired computational models. He has contributed extensively to areas such as infinite words, graph grammars, molecular computing, and neural networks. Freund has held roles including editor for conference proceedings (e.g., NCMA 2019) and has taught courses like Formal Language Theory and Introduction to Clinics. His work often bridges theoretical foundations with practical applications in computing systems, emphasizing formal verification and computational completeness. His research has been published in journals like Natural Computing and Theoretical Computer Science , exploring topics such as derivation modes in P systems, reactive membranes, and computational models for Boolean networks. Despite retirement, he remains active in academic activities, including organizing workshops and contributing to conferences on unconventional computing. Freund's expertise spans membrane computing variants, automata theory, and regulated rewriting systems, with a focus on advancing computational paradigms inspired by biological processes.

Alex Rastمشاهده پروفایل

مدرس ارشد

• Neuromorphic computing
• Artificial Intelligence
• Autonomous robotics
• +۶ مورد دیگر

Dr Alex Rast is a Senior Lecturer in Computing within the School of Engineering, Computing and Mathematics at Oxford Brookes University , where he also serves as Third-Year Tutor for all computing programmes. His career spans academic posts at the Universities of Manchester and Southampton and industry experience at wireless start-up Inficom, Inc. Education & Career Path A-level studies sparked lifelong interest in neural networks and neuromorphic hardware. Post-doctoral research at University of Manchester on cognitive robotics and neuromorphic chips. Research fellow at University of Southampton on large-scale parallel event-driven systems. Industry stint at Inficom working on control processors and modulation theory. Joined Oxford Brookes University, rising to Senior Lecturer while leading multiple research initiatives. Research Focus Dr Rast’s research integrates event-driven vision sensors with neuromorphic cognitive processors to create fully integrated autonomous neurorobotic systems capable of operating in unstructured natural environments. Core themes include: Real-time perception and SLAM for autonomous vehicles and racing robots. Large-scale spiking neural network models for learning and decision-making. Probabilistic temporal reasoning under uncertainty. Ethical decision-making and reinforcement learning for responsible AI agents. Novel applications such as neural models for fine-flavour cacao and chocolate assessment. Funding & Projects Knowledge Transfer Partnership (KTP) with Supponor on advanced scene infilling systems. CLAIMOR (Co-I; British Academy, Apr–Nov 2025) developing comprehensive large AI models for mobile robotics. Active consultancy to the Oxford Brookes Racing (OBR) Autonomous racing team on perception and SLAM. Research Groups & Labs Visual Artificial Intelligence Laboratory (VAIL) Autonomous Driving and Intelligent Transport (ADIT) group Machine Learning and Robotics Group (MLR) Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute Institute for Ethical AI collaboration on ethical agents Teaching & Supervision Dr Rast is Third-Year Tutor for all computing programmes and teaches core AI and robotics modules: Artificial Intelligence (BSc, MSci, MSc), Cognitive Robotics, Autonomous Intelligent Systems, and Artificial Intelligence Systems Engineering. He supervises final-year projects and postgraduate research students in neuromorphic computing and autonomous systems.

Lili Suمشاهده پروفایل

استادیار

• Distributed Machine Learning
• Cybersecurity
• Neural Computation
• +۴ مورد دیگر

Lili Su is an Assistant Professor in the Department of Electrical & Computer Engineering at Northeastern University. She specializes in distributed machine learning, cybersecurity, neural computation, and bio-inspired algorithms, with applications in autonomous systems and blockchain technologies. Education: PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2017) MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2014) Research Interests: Her work focuses on securing distributed machine learning systems against adversarial attacks, developing fault-tolerant algorithms for high-dimensional data, and bio-inspired approaches to distributed computing. Key areas include federated learning, Byzantine resilience, and autonomous vehicle safety. She also explores neural computation models inspired by biological systems, such as spike-based winner-take-all circuits. Publications: Her recent work addresses challenges in federated learning, including mitigating client heterogeneity and connection unreliability. She has also contributed to trajectory prediction for autonomous vehicles, privacy-preserving algorithms, and Byzantine-resilient optimization techniques. Her research often bridges theory and practice, with applications in edge computing and vehicular networks. Awards and Honors: NSF CAREER Award (2023) Best Student Paper Finalist, DISC 2016 Best Student Paper Award, SSS 2015 Rising Stars EECS 2018 Grants and Projects: Principal Investigator: NSF-funded project on federated learning foundations (2023) Center for Science of Information grant for distributed machine learning security (2020) Labs and Affiliations: She is affiliated with Northeastern’s Institute for Experiential AI, where she collaborates on interdisciplinary projects in machine learning and autonomous systems.

• Neuroscience
• Vision Science
• Biological Engineering
• +۳ مورد دیگر

Zahra Bagheri is a Postdoctoral Researcher affiliated with the Perception Research Group at the University of Oxford. She holds a Bachelor’s and Master’s degree in Engineering, and her work bridges neuroscience, engineering, and biology. Her research investigates neural mechanisms underlying vision and visual behavior in animals, with a focus on applying these insights to engineering solutions. Bagheri employs behavioral experiments, neural recordings, and computational modeling to study visual processing in insects, crustaceans, and humans. Her recent work explores deep-sea hyperiid amphipods’ visual systems, fiddler crab escape behaviors, and the development of bio-inspired autonomous systems. She has pioneered methods combining VR technology with machine vision to create low-latency experimental environments. Her contributions span biomimetic robotics and computational models of sensory systems. Notable projects include an insect-inspired target-tracking robot and models of selective attention mechanisms in crustaceans. Bagheri collaborates across disciplines, integrating neurophysiological data with engineering design principles. Her research emphasizes translating biological efficiency into technological applications, with implications for robotics, medical devices, and environmental monitoring systems.

• Neuromorphic Engineering
• Spiking Neural Networks
• Analog Integrated Circuits
• +۳ مورد دیگر

Willian Soares Girão is a Researcher at the Faculty of Science and Engineering, University of Groningen, working within the Bio-inspired Circuits & Systems group. His research focuses on neuromorphic engineering and analog circuit design for neural networks, with particular emphasis on spiking neural networks and on-chip learning mechanisms for beyond-CMOS device integration. His primary research interests include neuromorphic computing, analog integrated circuits, and bio-inspired circuit design. He investigates synaptic models, attractor networks, and trace generation mechanisms to develop energy-efficient neuromorphic systems that mimic biological neural processing. His work bridges electrical engineering and computational neuroscience through hardware implementations of neural learning rules. Analysis of his 2023-2025 publications reveals a strong trend toward hardware-efficient neuromorphic processors with on-chip learning capabilities. His research spans synaptic normalization circuits, subthreshold integration techniques, and robust attractor networks for adaptive working memory applications. The work consistently integrates analog CMOS circuit design with biologically plausible learning rules while addressing device integration challenges for next-generation neuromorphic systems. Dr. Girão actively contributes to the Bio-inspired Circuits & Systems group at the University of Groningen, collaborating with international researchers on neuromorphic hardware development. His publications in ACM ICONS and IEEE ISCAS demonstrate technical expertise in analog circuit design for spiking neural networks, with multiple papers receiving significant citations and downloads in the neuromorphic computing community.

Roland Snooksمشاهده پروفایل

استاد

• Architectural Design
• Generative Design
• Robotic Fabrication
• +۵ مورد دیگر

Professor Roland Snooks is a leading academic in architectural design and computational methods, holding a Professorship at RMIT University's School of Architecture and Urban Design. He directs the RMIT Architecture Tectonic Formation Lab, focusing on algorithmic generative design and additive manufacturing. His work integrates swarm intelligence and multi-agent systems to explore new architectural possibilities. Snooks holds a PhD from RMIT and a Master in Advanced Architectural Design from Columbia University (Fulbright Scholar). He has taught at prestigious U.S. institutions including Columbia, University of Pennsylvania, and SCI-Arc. Co-founder of experimental practice Kokkugia (2004) and collaborator with Laura Harper in Snooks + Harper, his designs are in permanent collections at the Centre Pompidou, FRAC, and National Gallery of Victoria. Research interests include robotic fabrication, generative design systems, and material innovation. He actively supervises Masters and PhD students in architectural design synthesis, digital fabrication, and ecological aesthetics. Key projects include 'Vibrant Enmeshment: Aesthetics & Strategies for an Ecocentric Architecture' (2024) and 'Hybridised Metal Formation' (2023). His work bridges academic research with creative practice, emphasizing interdisciplinary collaboration and sustainable technologies.

Akbar Khatibiمشاهده پروفایل

استاد

• Materials Engineering
• Aerospace Engineering
• Mechanical Engineering
• +۹ مورد دیگر

Akbar Khatibi is a Professor and Associate Dean, Academic Operations at the School of Engineering, RMIT University in Melbourne, Australia. He has held academic roles including Professor (2016–Present), Senior Lecturer (2012–2015), and Research Fellow positions at RMIT and other Australian institutions since 2000. Previously, he served as an Assistant Professor at the University of Tehran (2005–2011) and a Lecturer at the University of Melbourne (2001–2005). His research focuses on advanced composite materials, nanotechnology, structural integrity, and bio-inspired engineering solutions. He also explores interdisciplinary areas like aerospace engineering, civil engineering, and condensed matter physics. Key projects include optimizing metal-composite joints, enhancing fire resistance in composites, and developing sustainable materials from recycled tyre rubber. His teaching interests span composite structure design, fracture mechanics, and interface engineering. He has supervised numerous research projects, such as 'Aero-Structural Optimisation of Wingtip Design with Smart Materials' and 'Bio-inspired hybrid joints for aerospace applications,' though specific student names are not listed. Dr. Khatibi is actively involved in research collaborations and utilizes advanced techniques like molecular dynamics and finite element modeling. He holds an ORCID identifier (0000-0002-1036-7290) and is open to supervising further studies in his areas of expertise. His work emphasizes practical applications of materials science, including aerospace components, automotive engineering, and structural health monitoring. Projects like 'Multi-axial Fabric Composites for Aerospace Components' and 'Self-healing and self-sensing materials' highlight his dedication to innovation in composite technologies and durability. No scientific awards are explicitly mentioned in the provided texts, but his contributions to sustainable materials and structural engineering are notable.

Anirban Mukhopadhyayمشاهده پروفایل

پژوهشگر

• Medical AI
• Image-guided Surgery
• Medical Image Segmentation
• +۳ مورد دیگر

Anirban Mukhopadhyay is a leading researcher in Medical AI at TU Darmstadt, Germany, heading the Medical & Environmental Computing (MEC-Lab). His work focuses on developing AI systems for image-guided diagnosis and surgery. He collaborates with RACOON, a consortium of 38 German hospitals, and hosts the AI-Ready Healthcare podcast. His research spans neural cellular automata (NCA), federated learning, and medical image segmentation. Key projects include: MEC-Lab : Specializes in assistive AI for healthcare, emphasizing bio-inspired algorithms and low-power device applications. RACOON : Combats COVID-19 through AI-driven radiology collaboration among German hospitals. Publications : Over 100 peer-reviewed papers on medical imaging, surgical robotics, and AI ethics, with a focus on NCA-based solutions and federated learning frameworks. Research interests emphasize: Medical image segmentation (e.g., Med-NCA , GAUDA ) Continual learning for evolving medical data AI ethics and human-AI collaboration in clinical settings His work bridges theoretical advances (e.g., NCA) with practical applications in surgery, radiology, and pathology. Recent trends show a focus on edge computing, robustness in AI systems, and interdisciplinary collaboration with clinicians.

Anca-Simona Horvathمشاهده پروفایل

پژوهشگر

• Computational Design
• AI in Architecture
• Bio-technologies in Creative Practices
• +۵ مورد دیگر

Anca-Simona Horvath is a Guest Researcher at Aalborg University's Department of Communication and Psychology, affiliated with The Faculty of Social Sciences and Humanities. She leads the Art, Aesthetics & Health Research Laboratory for Art and Technology, focusing on intersections between emerging technologies (AI, bio-technologies) and creative practices. Her work addresses broader cultural contexts through design-based research, spanning scales from footwear to urban planning. Education: PhD in Architecture, with professional experience as an architect and computational designer in Romania and Denmark. Research contributions span architectural humanities, computational design, and digital art, with publications in journals like Frontiers of Architectural Research and International Journal of Architectural Computing . Research interests include AI-driven conceptual architecture, bio-crafting with mycelium, and STEAM education for sustainability. Key projects include Environmental Knowledge in the Digital Anthropocene (EKoDA) and Agency for Resilience (ActRes), addressing climate resilience and interdisciplinary collaboration. She has received awards such as the Teacher of the Year (2019) and Young Researcher Grant (2013). Her recent articles explore AI tool adoption in architecture, generative adversarial networks in form generation, and fungal bio-technologies in design. She actively participates in peer review for journals like Buildings and conferences like CAADRIA, and advises on EU Horizon Europe energy projects. Labs/Teams: Leads the Research Laboratory for Art and Technology , collaborating with initiatives like MASSHINE and Green Societies . Her work intersects environmental humanities, digital art, and sustainable design, contributing to UN SDGs related to climate action and sustainable cities.

• Computational Fluid Dynamics
• Mesh generation
• Evolutionary Optimisation Algorithms
• +۳ مورد دیگر

Dr. Sean Walton is a Senior Lecturer in Computer Science at Swansea University's School of Mathematics and Computer Science within the Faculty of Science and Engineering. He holds the Sêr Cymru II Research Fellowship and is the Founding Director of Pill Bug Interactive, a BAFTA Cymru-nominated game development studio. His research spans evolutionary optimization in engineering, educational technology, and procedural game content generation. Previously, he taught physics at Rhymney Comprehensive School and received the 2016 Swansea University Excellence in Learning and Teaching Award. Research interests include computational fluid dynamics, mesh generation, and applying evolutionary algorithms in industry and education. Notable projects include developing biofeedback systems for sprint starts and investigating AR adoption in education. He has supervised numerous PhD/MSc students on topics like aerodynamic optimization and human-AI collaboration in design. Key achievements include £130k Sêr Cymru II funding for aerodynamic component optimization research and organizing international climate change game jams covered by Wired and PNAS. His work bridges engineering, education, and gaming through innovative applications of optimization techniques and immersive technologies.

Tania Visosevicمشاهده پروفایل

مدرس

• Technologies and strategies of the moving image
• Performance and bio-art
• Identity politics
• +۳ مورد دیگر

Ms Tania Visosevic is a Lecturer and Screen Production Major Coordinator at the School of Arts and Humanities, Edith Cowan University. She teaches courses including Scriptwriting, Screen Practice, and Digital Storytelling. Her research focuses on moving image technologies, bio-art, identity politics, and experimental audiovisual practices. She has supervised multiple PhD candidates in interdisciplinary art and media studies. Education: Honours in Communication Studies, Murdoch University (1994). Research Interests: Technologies of the moving image Performance and bio-art Identity politics Filmosophy Video essays Grants: Cross-Continental Inspirations in Music (2023-2025, $65,000) Video Essay Assignment Grant (2016-2017, $6,000) Her creative outputs span installations, video works, and collaborative exhibitions addressing themes like queer theory and digital storytelling. She maintains an ORCID profile (https://orcid.org/0000-0002-0418-3030).

Franco Zambonelliمشاهده پروفایل

استاد

• Distributed Computing
• Pervasive Computing and IoT
• Multiagent Systems
• +۴ مورد دیگر

Franco Zambonelli is a Full Professor of Computer Science at the University of Modena and Reggio Emilia since 2010, with prior roles as Associate Professor (2001–2010) and Researcher (1997–2001). He holds a Laurea in Electronic Engineering (1992) and a PhD in Computer Science (1997), both from the University of Bologna. Research Interests: Focus on distributed and pervasive computing, self-organizing systems, autonomic computing, multiagent systems, and IoT applications in smart cities and healthcare. His work emphasizes agent-oriented software engineering, coordination models for distributed systems, and adaptive service ecosystems. Editorial Roles: Co-Editor-in-Chief of ACM Transactions on Autonomous and Adaptive Systems, and editorial board member of journals like Pervasive and Mobile Computing and Journal of Agent-Oriented Software Engineering. Awards: IEEE Fellow (2013), ACM Senior Member (2009), multiple best paper awards including IEEE SAINT (2001) and CBRM Cybernetics (2004). Grants & Projects: Coordinated EU FP7 Project SAPERE (2010–2013) and led FP6 Project CASCADAS (2006–2008). Currently involved in PRIN 2017 Fluidware (2019–2022) and H2020 CONNECARE (2016–2019). Labs: Agents and Pervasive Computing Lab (agentgroup.unimore.it).

Gyan Wratمشاهده پروفایل

پژوهشگر ارشد

• Hydraulic Systems
• Wind Turbine Pitch Systems
• Fault Detection and Diagnosis
• +۳ مورد دیگر

Gyan Wrat is a Postdoctoral Researcher at the Faculty of Engineering and Science, Aalborg University, Denmark, specializing in Mechatronic Systems Fluid Power at AAU Energy. His work focuses on hydraulic systems for wind turbine pitch control and fault diagnosis, addressing critical reliability challenges in renewable energy infrastructure. His research spans Hydraulic Systems Engineering , Wind Turbine Pitch Control , Fault Detection and Diagnosis , Fluid-Structure Interactions , and Vibroacoustics . He develops advanced methodologies for identifying failure root causes in major hydraulic components, optimizing digital control systems, and enhancing wind turbine operational longevity through predictive maintenance strategies. Recent publications (2024-2025) reveal a concentrated research trajectory in hydraulic pitch system reliability, with comprehensive reviews covering fault detection algorithms, accelerated testing protocols, and fluid dynamics in submerged environments. His work bridges theoretical fluid mechanics with practical wind energy applications, emphasizing cost reduction through fault minimization. Wrat actively participates in the HyRel project (2022-2027), a Vattenfall-funded initiative led by Prof. Henrick C. Pedersen targeting 100% reduction in pitch system faults. This collaborative effort involves multidisciplinary teams exploring hydraulic system failure mechanisms, energy cost optimization, and digital pitch control innovations for next-generation wind turbines. He operates within AAU Energy's fluid power research ecosystem at Pontoppidanstræde 111, Aalborg, collaborating with international experts on hydraulic system validation, wind turbine dynamics, and reliability engineering through experimental testing and computational modeling.