جستجوی استاد راهنمای دانشگاهی

• Chemical Mechanical Polishing
• Remote Sensing
• Civil Engineering
• +۷ مورد دیگر

Zhenyu Zhang is a Lecturer in the School of Surveying and Built Environment at the University of Southern Queensland. His qualifications include a DipGIS from Massey University, BSc from Charles Sturt University (CSU), MEng from Tsinghua University, MTech from RMIT University, and a PhD from Monash University. His research focuses on advanced manufacturing processes, particularly chemical mechanical polishing (CMP), environmental modeling using remote sensing, and machine learning applications in construction safety and material science. Key areas of expertise include atomic-scale surface finishing of metals and ceramics, development of green CMP systems, LiDAR-based environmental monitoring, and water quality modeling. His work integrates interdisciplinary approaches, combining material science, environmental engineering, and computational methods. Over 56,323 views and 16,395 downloads of his outputs highlight significant academic impact. Recent projects include novel abrasive materials for precision polishing, AI-driven safety protocols in construction, and coupled hydrological modeling for watershed management. His research emphasizes sustainable practices, with contributions to both theoretical frameworks (e.g., reviews on polishing mechanisms) and applied technologies (e.g., membrane-free batteries).

Antonio LORIAمشاهده پروفایل

پژوهشگر

• Automation
• Robotics
• Applied Mathematics
• +۴ مورد دیگر

Antonio LORIA is a Senior Researcher (DR1) at the CNRS, affiliated with the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec in France. His primary research discipline is Automation, focusing on control systems, robotics, and nonlinear dynamics. He holds a DEA and PhD from UTC, France, and has held CNRS positions since 1999, advancing through ranks to his current role. LORIA’s work emphasizes multi-agent systems, networked control, and formation control, with applications in robotics and autonomous systems. Education: Born in Mexico (1969), he studied Electronic Systems Engineering at ITESM, Mexico, followed by a DEA (1993) and PhD (1996) in Automation from UTC. Postdoctoral studies at the University of Twente (Netherlands), NTNU (Norway), and UC Santa Barbara (USA). Research Interests: Automation, robotics, nonlinear control, stability theory, and consensus algorithms. His recent work includes strict Lyapunov function design, robust formation control, and adaptive estimation for hybrid systems. Publications: Over 100 journal and conference articles on topics like consensus algorithms, multi-agent systems, and nonlinear control. Recent work (2024–2025) includes studies on bipartite formation control, hybrid networks, and robust adaptive estimation. Grants & Leadership: Led or participated in projects funded by the EU, ANR, and CNRS. Served on evaluation committees for French and international research agencies (ANR, MINES, ANID, UEFISCDI). Associate editor for journals like IEEE Trans. on Automatic Control and Automatica . Students & Mentoring: Supervised 14 PhD students and 4 postdocs, many now in academia or industry roles. His advisees hold positions at CentraleSupélec, CNRS, and universities in Mexico, the Netherlands, and elsewhere. Labs & Groups: Active member of L2S research teams such as MODESTY (Modeling for Control), COMEDY (Dynamic Systems), and SYCOMORE (Robust Control). Involved in transverse research axes like Energy and Future Industry.

• Robotics
• Control Systems
• Humanoid Robots
• +۶ مورد دیگر

Santiago Martinez de la Casa Diaz is an Associate Professor in the Systems Engineering and Automation Department at the University Carlos III of Madrid , affiliated with the Robotics Lab . He specializes in robotics, with a focus on humanoid robots, control systems, and sensor integration. His work spans areas like soft robotics, reinforcement learning, and autonomous systems for tunnel inspection and service applications. His research interests include the design and control of humanoid robots (e.g., TEO and BADGER), sensor fusion, and applications in healthcare and industrial automation. He has published extensively on topics like actuator control, bimanual manipulation, and fractional-order systems. He leads projects such as SIROCO (robotic orthosis) and ROBOSUB (subsurface robotics), and collaborates on initiatives like iRoboCity2030 for smart city robotics. His work integrates AI, mechatronics, and biomechanics to advance humanoid robotics capabilities and real-world applications.

• Computer Graphics
• Motion Capture
• Artificial Intelligence
• +۹ مورد دیگر

Dr. Zhidong Xiao serves as Principal Academic (Associate Professor) at Bournemouth University's National Centre for Computer Animation within the Faculty of Media and Communication. With over ten years of leadership experience including roles as Programme Leader, Head of Education, and Deputy Head of Department, he drives academic strategy and research innovation in computer animation and digital media. His work bridges technical excellence with creative industry applications through extensive collaborations across the UK and China. Dr. Xiao's educational foundation includes a PhD in Computer Graphics (2010) and postgraduate certificates in Education Practice (2010) and Research Degree Supervision (2011) from Bournemouth University, complemented by a BEng (Hons) in Thermodynamics from Taiyuan University of Technology, China (1994). PhD in Computer Graphics, Bournemouth University (2010) PGCE in Education Practice, Bournemouth University (2010) PGCE in Research Degree Supervision, Bournemouth University (2011) BEng (Hons) in Thermodynamics, Taiyuan University of Technology (1994) His research spans Computer Graphics, Motion Capture, Artificial Intelligence, and Virtual Reality with focus on physics-based simulation, sign language recognition, and motion synthesis. Recent work integrates partial differential equations with machine learning to solve animation challenges in facial realism, deformation simulation, and 3D reconstruction. His interdisciplinary approach connects computer science with creative industries, healthcare applications, and educational technology while advancing core techniques in neural rendering and motion analysis. Analysis of his 15 most recent publications reveals consistent innovation in physics-based animation techniques (40%), motion capture processing (25%), and neural approaches to 3D reconstruction (35%). Key trends include the fusion of analytical physics models with deep learning architectures, development of efficient real-time simulation methods, and expansion into accessibility applications through sign language recognition systems. Scientific recognitions include: Fellow of British Computer Society (2023) Fellow of Higher Education Academy (2011) Best Poster Award at Pacific Graphics 2014 He maintains active peer review roles for EPSRC, ESRC, IEEE Transactions on Multimedia, and ACM SIGGRAPH conferences. Dr. Xiao has supervised seven PhD students to completion while currently guiding Alexandra Sergeeva Alexdottir's research on Phantom Touch phenomena. His grant portfolio demonstrates strong industry-academia collaboration: Principal Investigator Capturing and representing sign language (British Council, 2025) VE Communication Programme (Erasmus+, 2020) Co-Investigator Rehabilitation Enhancement via Motion Capture (BU Fusion Fund, 2013) Cross-Channel Film Lab (Interreg, 2012) Digital Beijing Opera Project (2010) As a core member of Bournemouth's Computer Graphics and Visualisation Research Group and Centre for Digital Entertainment, he leads initiatives in motion capture technology through AccessMocap Studio. His international outreach includes invited lectures across China on computer animation education and visual effects techniques, strengthening global partnerships in creative technology development.

António Paulo Moreiraمشاهده پروفایل

استاد

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

António Paulo Moreira is a Full Professor at the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto. He serves as Research Coordinator of CRIIS - Centre for Industrial Robotics and Intelligent Systems and Head of the iiLab – Industry and Innovation Laboratory at INESC TEC. His research focuses on Robotics, Automation, and Control, emphasizing industrial applications and technology transfer. He has led 25 scientific projects, generating 40 industry partnerships and 18 prototypes, co-owning 2 patents. He advises on robotics and automation projects, contributing to two spin-off companies. Education: BSc (1986), MSc (1991), PhD (1998), and Aggregation (2017) in Electrical and Computer Engineering from FEUP. Research Interests: Industrial Robotics, Automation Systems, Control Theory, and their practical implementation in agriculture and manufacturing. Recent work includes robotic arm integration for quadruped robots, AR marker tracking, and recommendation systems for industrial data. Notable Projects: 18 industry contracts, 2 patents, and leadership in national robotics competitions (e.g., Robot@Factory 4.0).

Frank Ghansahمشاهده پروفایل

مدرس

• Sustainable Construction
• Digital Construction
• Construction Quality Assurance
• +۶ مورد دیگر

Dr. Frank Ghansah is a Lecturer in Quantity Surveying at the Division of Construction, Property and Surveying, affiliated with the Digital x Data Research Centre since October 2023. He holds a PhD in Real Estate and Construction from the University of Hong Kong and advanced degrees from Kwame Nkrumah University of Science and Technology, actively supervising PhD students in sustainable construction research. His educational background includes: PhD in Real Estate and Construction, University of Hong Kong (2020-2023) MPhil in Project Management, Kwame Nkrumah University of Science and Technology BSc in Quantity Surveying and Construction Economics (First Class Honours), Kwame Nkrumah University of Science and Technology Dr. Ghansah's research centers on digital transformation for sustainable construction, with emphasis on BIM, digital twins, and AI applications to advance quality assurance, circular economy principles, and modular building methods. His work addresses critical challenges in low-carbon construction, smart building technologies, and supply chain resilience, particularly in developing contexts like Ghana. Analysis of his 43 publications (2020-2025) reveals dominant trends in pandemic-impacted construction logistics, digital twin implementations for carbon management, and circular procurement frameworks. His research bridges digital innovation with practical sustainability outcomes, showing increasing focus on AI-driven solutions and developing-world applications since 2023. Dr. Ghansah actively mentors PhD candidates and has secured major research funding including a HKD 5.31 million Collaborative Research Fund project on modular construction optimization and a RMB 5 million Theme-based Research Fund for digitalization initiatives. His peer-review activities span top journals like Engineering, Construction and Architectural Management and Smart and Sustainable Built Environment. As a core member of the Digital x Data Research Centre, he leads international collaborations on human-robot construction teams, circular economy frameworks, and offsite manufacturing. His current projects integrate Ghanaian case studies with global supply chain innovations to develop context-specific digital construction solutions for emerging economies.

Marco Dorigoمشاهده پروفایل

استاد

• Swarm Intelligence
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

Marco Dorigo is a Full Professor (part-time) at the Department of Computer Science, Faculty of Electrical Engineering, Computer Science and Mathematics, University of Paderborn since 2011. He is also a Research Director (Directeur de Recherches) at the IRIDIA laboratory, Universite Libre de Bruxelles since 2004. His academic career includes various research roles at institutions such as IDSIA in Switzerland and postdoctoral positions at ULB. His research focuses on Swarm Intelligence, Artificial Intelligence, and Robotics, with particular emphasis on optimization algorithms inspired by natural systems, such as Ant Colony Optimization. He has contributed significantly to the development of swarm robotics and self-organizing systems. Notable awards include the ERC Advanced Grant (2010), Cajastur International Prize for Soft Computing (2007), and the Prix Wernaers 2012 for the "Swarmanoid, The Movie" . He is a member of multiple prestigious organizations, including Academia Europaea and the IEEE. He has supervised over 12 PhD students and 40 MSc students. His research has been supported by grants such as the ERC Advanced Grant, and he has contributed to projects like the Swarm-Bot robotics system. He leads research at the IRIDIA laboratory, focusing on swarm intelligence, and has been involved in initiatives like the Swarm-Bots project, exploring self-organized robot colonies.

• Additive Manufacturing in Construction
• Structural Design
• Concrete 3D Printing
• +۴ مورد دیگر

Harald Kloft is a Full Professor of Structural Design and Director of the Institute of Structural Design (ITE) at TU Braunschweig, within the Faculty of Architecture, Civil Engineering and Environmental Sciences. He holds a Dipl.-Ing. in Civil Engineering from TU Darmstadt (1982–1990) and a Doctorate in Civil Engineering from TU Darmstadt (1998). His academic career includes roles as a visiting professor at TU Graz and TU Kaiserslautern, and he founded the engineering practice office for structural design (osd) in 2002. **Research Interests**: Kloft focuses on additive manufacturing in construction, digital fabrication, and sustainable structural design. His work emphasizes innovations like robotic 3D concrete printing, material optimization, and resource-efficient construction techniques. He leads the Collaborative Research Center TRR 277 (Additive Manufacturing in Construction) and has contributed significantly to projects like Shotcrete 3D Printing (SC3DP) and hybrid modular construction systems. **Notable Contributions**: Over 150+ publications, including influential works on robotic concrete fabrication, machine learning in structural assessment, and sustainable building practices. He actively collaborates with industry partners, advancing technologies like wire-and-arc additive manufacturing (WAAM) and non-waste wax formwork. **Awards & Grants**: While no explicit awards are listed, his leadership roles (e.g., spokesperson of TRR 277) and extensive grants (e.g., BMBF-funded projects) reflect his academic and industrial impact. His research infrastructure supports early-career researchers and fosters interdisciplinary collaboration. **Labs & Teams**: Directs the ITE lab, specializing in structural design and digital fabrication. Collaborates with teams on projects like the Capricorn Bridge and adaptive coastline protection structures using additive manufacturing.

• Database Systems
• Software Engineering
• Data Integration
• +۳ مورد دیگر

Roger King is a seasoned researcher with over 40 years of contributions to computer science, particularly in database systems, software engineering, and data integration. His work spans heterogeneous database management, semantic modeling, and distributed systems, often collaborating with leading institutions like University of Colorado and Springer. 1987: Co-authored foundational paper on semantic database modeling in ACM Computing Surveys 1992: Developed FaceKit database interface design toolkit 1994: Pioneered DIRECT query facility for multiple databases Research Interests: King's work focuses on database integration , semantic interoperability , and self-adaptive systems . Notable projects include Sybil for database evolution, Cactis for object-oriented databases, and COIL mediator definition language. Key Trends: His 15 most recent publications (2024-1999) address challenges in smart data systems , autonomous systems performance , and microgrid control , reflecting sustained expertise in data semantics and system architecture.

• Digital Twins
• AI in Construction
• Robotic Automation
• +۲ مورد دیگر

Dr. Yiping Meng is a Lecturer in Construction Management at Teesside University's School of Computing, Engineering and Digital Technologies. She holds a PhD in Multi-objective Optimisation from the University of Sheffield and has postdoctoral research experience at Loughborough University and University of Cambridge. Her research integrates digital twins, AI, and robotic automation for sustainable construction. Key areas include dynamic digital twin systems for building performance tracking, multi-criteria decision support for automation construction, and computer-aided design of complex architectural geometries. She currently leads research on RECONSTRUCT: A Territorial Construction System for Circular Low-Carbon Environments. Publications demonstrate cross-disciplinary approaches combining computational optimization, material science, and building information modeling. Recent work emphasizes machine learning applications in energy management and robotic fabrication. Dr. Meng collaborates with national and international partners on circular economy frameworks and net-zero construction initiatives. She teaches digital technologies in construction and mentors students in sustainable design principles.

Simon Giszterمشاهده پروفایل

استاد

• Motor Control
• Spinal Cord Injury
• Neuromechanics
• +۵ مورد دیگر

Simon Giszter, PhD, is a Professor in the Department of Neurobiology & Anatomy at Drexel University College of Medicine. He is also joint faculty in the School of Biomedical Engineering, Science & Health Systems at Drexel. His research focuses on spinal cord organization, modularity, and motor control mechanisms, particularly in spinal cord injury recovery. Dr. Giszter collaborates extensively with the Spinal Cord Injury Research Center and engineering schools to develop neuroprosthetics and rehabilitation strategies. His work is funded by NIH, NSF, and the Neilsen Foundation. Education: PhD in Neuroscience from the University of Oregon Institute of Neuroscience and postdoctoral training at MIT with Emilio Bizzi. Research interests include motor primitives, neuromechanics, brain-machine interfaces, and spinal cord plasticity. His lab uses rodent and frog models to study locomotion recovery and neural adaptations. Recent work explores robotic rehabilitation and neural stimulation therapies. Awards: 2024 Faculty Professional Development Award and 2023 Julian Marsh Faculty Scholar Award from Drexel University College of Medicine. Key collaborations involve spinal injury models, neurorobotics, and tools for neural bridging. His lab includes postdocs and graduate students focusing on bioengineering, neuroscience, and technical roles. Patents include braided electrode probes and sensing technologies.

• Reinforcement Learning
• Multi-Agent Systems
• Artificial Intelligence
• +۳ مورد دیگر

Frans A. Oliehoek is a researcher affiliated with Delft University of Technology, The Netherlands. His work focuses on advancing the theoretical and practical aspects of artificial intelligence, particularly in the areas of reinforcement learning, multi-agent systems, and decision-making under uncertainty. He has contributed to foundational research on influence-based learning, abstracted models, and scalable solutions for large-scale networked systems. His research interests span a broad spectrum of topics including multi-agent reinforcement learning, POMDPs (Partially Observable Markov Decision Processes), and the integration of human-AI collaboration frameworks. He has also explored applications in transportation systems, robotics, and ethical AI through multi-objective optimization. Recent trends in his publications emphasize the development of modular frameworks for human-AI interaction, scalable methods for influence-augmented planning, and ethical considerations in AI decision-making. His work often bridges theoretical advancements with practical implementations, as seen in frameworks like SHARPIE and MORAL. Oliehoek has collaborated extensively with leading institutions and researchers globally, contributing to conferences such as AAMAS, IJCAI, and NeurIPS. His technical contributions include the MADP Toolbox for multi-agent planning and learning, reflecting his commitment to open-source research tools.

Berk Calliمشاهده پروفایل

دانشیار

• Robotic Manipulation
• Robot Vision
• Machine Learning
• +۲ مورد دیگر

Berk Calli is an Associate Professor in the Department of Robotics Engineering at Worcester Polytechnic Institute (WPI), where he leads the Manipulation and Environmental Robotics Laboratory (MER Lab). He holds a PhD from Delft University of Technology and completed postdoctoral research at Yale University. His research focuses on advancing robotic capabilities for unstructured environments through innovations in manipulation, computer vision, and machine learning. Calli's research spans robotic manipulation, robot vision, machine learning, dexterous manipulation, and environmental robotics. His MER Lab develops multi-modal manipulation strategies using advanced control methods, active vision frameworks, and intelligent mechanical design to address uncertainties in real-world applications like recycling and industrial automation. His publication trends demonstrate consistent contributions to robotic grasping, vision-based control, and industrial applications, with recent work emphasizing benchmark development and sustainable technologies. The articles explore themes of adaptive control systems, recycling automation, and performance evaluation frameworks. Scientific Awards: Prestigious NSF CAREER Award ($599,559) for enhancing robotic object manipulation capabilities Early-Career Faculty Research Award recognizing innovative contributions to environmental robotics Calli leads multiple NSF-funded projects, including initiatives to establish environmental robotics tracks for undergraduates. He advises graduate researchers in the MER Lab and founded the Yale-CMU-Berkeley Object and Model Set project, a globally used benchmarking resource. As head of MER Lab, he directs research on fundamental manipulation problems and environmental sustainability projects including waste sorting and metal scrap recovery. His patented robotic technology is being developed for industrial applications like ship dismantling and metal cutting.

• Machine Learning
• Signal Processing
• Hidden Markov Models
• +۳ مورد دیگر

Aggelos Pikrakis is an Associate Professor in the Department of Informatics at the University of Piraeus, with research focus on Signal Processing with emphasis on Sound and Voice . He serves as an affiliate member of the Institute for Language and Speech Processing (ILSP). Specializes in machine learning algorithms for audio analysis Expertise in Hidden Markov Models and Bayesian architectures Supervises doctoral research in audio processing and machine learning His work spans music information retrieval, voice pathology classification, and mobility pattern analysis. With over 50 publications and 1150 citations (h-index=16), he has received best paper awards and first place in algorithm competitions . He has participated in research programs funded by GGET and European Union as part of research teams. Scientific Awards Best Paper Award First Place in Algorithm Competition Active on editorial boards (EURASIP Journal on Advances in Signal Processing since 2008) and conference committees, he contributes to advancing audio processing methodologies.

• Novel Robot Designs
• Design Optimization
• Continuum Robots
• +۳ مورد دیگر

Matteo Russo is an Assistant Professor at the University of Rome Tor Vergata and an Associate Researcher at Rolls-Royce UTC, University of Nottingham. His research focuses on novel robot designs, particularly in continuum robots, parallel robots, and their applications in healthcare and aerospace. He teaches courses such as Robot Mechanics (MSc in Mechatronics) and Applied Mechanics (BSc in Energy Engineering), emphasizing analytical and numerical tools for robotic system evaluation. His work spans industrial and medical robotics, including driver monitoring systems, neurosurgery-assisting devices, and rehabilitation exoskeletons. He actively supervises BSc/MSc theses and welcomes PhD/postdoctoral candidates interested in robotics innovation. Research interests include design optimization, mechanism synthesis, and advanced actuation techniques. He collaborates on projects like the L-CADEL elbow-assisting device and the LARMbot humanoid, reflecting expertise in modular robotics and prototyping. His lab work involves developing wearable systems for respiration monitoring and robotic solutions for confined environments. Key contributions include studies on tendon-driven systems, continuum robot dynamics, and human-robot interaction. He advocates for interdisciplinary approaches, bridging mechanical engineering with biomedical and aerospace applications.