جستجوی استاد راهنمای دانشگاهی

Mads Brath Jensen is an Assistant Professor at the Department of Architecture, Design and Media Technology within the Technical Faculty of IT and Design at Aalborg University, Denmark. His academic and research work is centered on the integration of robotics, computational design, and material behavior in architectural processes. His research interests focus on computational architecture , robotic fabrication , and interactive human-robot co-creation . He investigates how real-time feedback between humans, materials, and robots influences cognitive design decisions. His work spans parametric design , clay 3D printing , acoustic tectonics , and sustainable material systems , often manifesting in physical research pavilions and robotic installations. The trends in his recent publications highlight a consistent trajectory toward interactive design frameworks , material-aware robotic processes , and acoustic-architectural integration . His work bridges theoretical design exploration with practical, buildable outcomes, emphasizing real-time human intervention in digital fabrication. Scientific Awards: No formal scientific awards listed in the provided text. Advising and Grants: Mads Brath Jensen has supervised and co-supervised multiple research projects, often as Principal Investigator (PI), including Whispering Wall , Acoustic Tectonics Studio , and Utzon(x) Research Pavilion . These projects were research-based and involved collaboration with external partners such as Boligfonden Kuben. While specific grant amounts are not listed, the sustained project activity indicates successful funding acquisition. He has also advised on educational frameworks and design studios, contributing to research-based teaching at BSc and MSc levels. Labs and Teams: He is affiliated with the Create Integrated Architecture group and the Centre for Sustainable and Digital Transformation at Aalborg University. He has collaborated extensively with Professor Iben Worre Foged and others in the Utzon(x) research and teaching initiatives, organizing summer schools and workshops. His work involves interdisciplinary teams integrating architecture, robotics, and computer vision.

• Computational Architecture
• Robotic Fabrication
• Human-Robot Interaction
• +۷ مورد دیگر

Dr Thomas Madsen is a Lecturer and Lead for Teaching and Quality in the School of Computing and Engineering at the University of West London. He previously served as a Lecturer at the University of Buckingham and held academic positions at Aarhus University (Denmark), Centro di Ricerca Matematica Ennio De Giorgi (Pisa), and King’s College London. His academic work bridges pure mathematics and applied computing disciplines. His research interests include Differential Geometry , Partial Differential Equations in geometric contexts , Special Holonomy Manifolds , and Toric Geometry , with recent expansion into Neuromorphic Robotics , Spiking Neural Networks , and Computing Education . He applies symmetry techniques to solve geometric PDEs such as Einstein’s equations and explores practical implementations of neuromorphic systems on low-power hardware. The trend in his recent publications (2020–2025) shows a dual focus: one on deep mathematical structures in differential geometry and theoretical physics, and another on innovative applications in artificial intelligence, robotics, and pedagogy in computing education. His collaborative work with researchers like Nicola Russo and Konstantin Nikolic emphasizes interdisciplinary innovation. Self-learning neuromorphic robot based on reward-driven Spiking Neural Network (2025) Enhancing Learning and Teaching Experience for International Students in Computing Subjects (2025) An Implementation of Communication, Computing and Control Tasks for Neuromorphic Robotics on Conventional Low-Power CPU Hardware (2024) Special holonomy manifolds with torus symmetry (2023) An interface platform for robotic neuromorphic systems (2023) Dr Madsen teaches across a broad portfolio of programs including BSc and MSc degrees in Data Science, Mathematics and Computing, Artificial Intelligence, Cyber Security, and Biomedical Engineering. He supervises PhD students and contributes to curriculum development, particularly in enhancing educational experiences for international students. He has collaborated with advisees such as Sama Aleshaiker and Wei Jie on pedagogical research. While no specific grants are detailed, his active research output and teaching leadership suggest sustained scholarly engagement. He is associated with research groups or labs focused on neuromorphic computing and mathematics for computing, contributing to both theoretical and applied advancements. His work on teaching resources and educational practice indicates a strong commitment to academic quality and innovation in STEM education.

• Differential Geometry
• Partial Differential Equations
• Mathematical Physics
• +۷ مورد دیگر

Cristina Alén Cordero is an Associate Professor at the University of Alcalá, Department of Signal and Communication Theory. She is affiliated with the TM Tecnologías Mecánicas, Eléctricas y Térmicas research group. Her academic career includes a PhD from Universidad Politécnica de Madrid (2010) with a thesis on market inspection reliability modeling. Her research spans mechanical engineering, robotics, safety engineering, and nuclear materials science. Key areas include advanced mechanical design, ITER-related technologies (optical coatings, diagnostics), and safety assessment in machinery. She has also contributed to educational methodologies in engineering and assistive robotics for mobility. Her recent publications highlight work on stair-climbing wheelchair control systems, radiation-resistant optical materials for ITER, and vibration damping technologies for space applications. She has collaborated on international projects such as ITER diagnostics and safety standards for machinery compliance. Her work integrates experimental and theoretical approaches, addressing challenges in mechanical systems, fusion engineering, and human-centric robotics. Despite no listed awards, her contributions reflect impactful research in applied engineering domains.

• Mechanical Engineering
• Robotics
• Materials Science
• +۳ مورد دیگر

Prof. Dr.-Ing. Ingo Neumann is a Professor of Engineering Geodesy and Geodetic Analysis Methods at Leibniz University Hannover's Faculty of Civil Engineering and Geodetic Science. He serves as Executive Director of the Geodetic Institute and leads research in geodetic sensor systems, structural monitoring, and multi-sensor fusion. His work focuses on advancing terrestrial laser scanning (TLS), UAV-based calibration, and machine learning applications in civil infrastructure analysis. Research interests include deformation monitoring, sensor calibration, and geospatial data processing. Notable projects involve fusion of SAR/InSAR data with TLS for ground movement analysis, and development of automated damage detection algorithms for port and marine structures. He teaches courses on sensor technology, geodetic measurement methods, and industrial surveying. Publications span 2006–2025, with recent emphasis on robust outlier detection, Kalman filter applications, and B-spline modeling for structural analysis. His work integrates geodesy with computer vision and machine learning to enhance infrastructure monitoring precision.

• Engineering Geodesy
• Geodetic Analysis Methods
• Sensor Technology
• +۵ مورد دیگر

Omar AL-Buraiki is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He specializes in Robotics Automation, Machine Intelligence Algorithms, and Autonomous Systems, with over 12 years of research experience across Canadian and international institutions. His work focuses on developing industrially oriented solutions for defense, robotics, and telecommunications sectors. Education: Ph.D., Electrical and Computer Engineering, University of Ottawa M.A.Sc., Systems Engineering, King Fahad University B.Sc., Electronics and Communications Engineering, Hadhramout University Research Interests: His research spans AI/ML Robotic Vision, Autonomous Systems, Automatic Control, Intelligent Automation, and Multi-Robot Coordination. He has pioneered nonlinear control systems, task allocation algorithms, and machine learning-driven robotic vision solutions, notably through his leadership of the SMART Lab during his PhD. Publications & Trends: His 20+ publications emphasize probabilistic task allocation, sensor fusion, and adaptive control in robotics. Recent work (2023–2025) focuses on slip-compensated visual-inertial odometry and heterogeneous robotic systems under actuator delays. Earlier papers (2016–2020) established foundational methods for specialized agent task assignment in swarm robotics. Achievements: Secured a USPTO patent for robotics automation technology Over 20 peer-reviewed articles and 12+ conference presentations Teaching & Advising: Instructor for courses on control systems, robotics, and AI-based vision at both undergraduate and postgraduate levels Developed specialized courses like Autonomous Vehicles Navigation and Control Labs & Teams: Former leader of the SMART Lab (University of Ottawa), currently active in robotics research at the University of Waterloo’s Mechanical and Mechatronics Engineering Department.

• AI/ML Robotic Vision
• Autonomous Systems
• Automatic Control
• +۵ مورد دیگر

Alireza Pourreza is an Associate Professor in the Department of Biological and Agricultural Engineering at the University of California, Davis, affiliated with the College of Engineering. His work focuses on advancing digital agriculture through innovations in precision agriculture, remote sensing, and agricultural robotics. He leads the Digital Agriculture Lab, which develops technologies like the Virtual Orchard and Spray Backstop system to optimize crop management and reduce environmental impact. His research emphasizes spectral imaging, machine learning, and sensor development for early detection of plant diseases (e.g., citrus Huanglongbing) and nutrient deficiencies. Recent projects include almond yield forecasting via aerial imagery and grape nitrogen sensing using hyperspectral data. Pourreza collaborates with industry and academia, disseminating findings through workshops, extension publications, and media outreach. He holds a patent for HLB detection methods and actively engages in publicizing digital agriculture's role in sustainable food production. Research Highlights: Developed vision-based sensors for citrus disease detection Pioneered 3D canopy modeling for almond and grape nutrient estimation Advocated for drone integration in precision farming Authored numerous extension articles on digital agriculture tools

• Precision Agriculture
• Remote Sensing
• Agricultural Robotics
• +۵ مورد دیگر

Gregory S. Fischer is the William Smith Dean's Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI), with appointments in Mechanical Engineering, Biomedical Engineering, and Electrical & Computer Engineering. He leads the Automation and Interventional Medicine (AIM) Robotics Research Laboratory and directs the PracticePoint R&D Center for healthcare cyber-physical systems. His research focuses on medical robotics, MRI-compatible systems, and computer-integrated surgery. He earned his PhD in Mechanical Engineering from Johns Hopkins University in 2008. Key contributions include MRI-guided robotic systems for prostate biopsy, wearable exoskeletons for rehabilitation, and sensor-actuator technologies for closed-loop surgical interventions. Education: PhD in Mechanical Engineering (2008), Johns Hopkins University MSE in Electrical Engineering (2003), Johns Hopkins University BS in Mechanical Engineering & BS in Electrical Engineering (2002), Rensselaer Polytechnic Institute Research Interests: Fischer’s work spans medical robotics, MRI-compatible mechatronics, image-guided surgery, and wearable assistive devices. His AIM Lab develops technologies to integrate real-time medical imaging with surgical procedures, emphasizing closed-loop systems. Notable projects include robotic systems for MRI-guided prostate biopsy and ultrasonic actuator designs for MRI environments. Publications: Recent work includes advancements in needle deflection compensation, markerless pose tracking for suturing, and clinical evaluation of robotic biopsy systems. His research often bridges robotics and clinical applications, with a focus on improving surgical accuracy and patient outcomes. Awards & Honors: William Smith Dean’s Professor (2017) Senior Member of National Academy of Inventors (2019) Grants & Labs: Fischer directs the AIM Lab and PracticePoint, involving collaborations with hospitals and industry. His labs focus on translational research, with projects funded by NIH, NSF, and industry partnerships. Current efforts include MRI-compatible robotics, robotic-assisted thermal therapy, and neurosurgical navigation systems.

• Medical Robotics
• MRI-Compatible Mechatronics
• Computer-Integrated Surgery
• +۳ مورد دیگر

Abdurrahman Eray Baran is an Assistant Professor in the Department of Mechatronics Engineering at Istanbul Bilgi University, College of Engineering, where he has been serving since February 2016. He holds a Ph.D., M.Sc., and B.Sc. in Mechatronics Engineering from Sabanci University, completed between 2003 and 2014. His academic journey includes roles as a Post-Doctoral Research Fellow and Research & Teaching Assistant at Sabanci University prior to his current appointment. B.Sc. Mechatronics Engineering, Sabanci University (2003–2008) M.Sc. Mechatronics Engineering, Sabanci University (2008–2010) Ph.D. Mechatronics Engineering, Sabanci University (2011–2014) Dr. Baran's research focuses on advanced control and robotic systems, with core interests in Advanced Motion Control , Haptic and Bilateral Control , Teleoperation , Novel State Estimation Techniques , Control Systems with Time Delay , Micromanipulation & Microrobotics , High Precision Machining Systems , Medical Robotic Systems , and Vision Based Control . His work bridges theoretical control design with practical applications in high-precision and medical robotics. No recent publications are listed in the provided text, so no article trends can be analyzed. No scientific awards or honors are mentioned in the available information. There is no information provided regarding student advisement, research grants, laboratory affiliations, or collaborative teams.

• Control Systems
• Robotics
• Haptics
• +۸ مورد دیگر

Bochen Jia is an Associate Professor at the University of Michigan-Dearborn's College of Engineering and Computer Science , specializing in Industrial and Manufacturing Systems Engineering . With a background in Industrial & Systems Engineering (PhD and MS) and Engineering Mechanics (MS and BS), he leads research on human factors, ergonomics, and human-exoskeleton interactions. Research Highlights: Investigates worker capacity changes under modern occupational risks Led ASTM International task group to establish exoskeleton digital modeling standards Explores ergonomic challenges in connected/autonomous vehicle design Develops wearable systems for posture and fatigue monitoring Advances pedestrian safety through AR/VR interface design Publications Trends show expertise in biomechanics, AI-driven workload assessment, autonomous vehicle-pedestrian communication, and STEAM education integration over 2018-2025. Scientific Awards include 11 grants from organizations like ASTM International, Michigan Mobility Transformation Center, and Ford Motor Company. Key projects involve exoskeleton standards, automated driving education, and pedestrian safety technologies. Teaching Innovation includes integrating ergonomic competitions, practical engineering tools, and lab development for automotive education. Established a multipurpose lab with external funding to prepare students for future mobility challenges.

• Human Factors and Ergonomics
• Wearable Sensors
• Worker Capacity and Safety
• +۴ مورد دیگر

Lei Shi is a Researcher at the Institute for Visualization and Interactive Systems (VIS) within the Collaborative Artificial Intelligence department at the University of Stuttgart, Germany . Their work focuses on integrating machine learning, human-robot interaction, and safety control systems. Research Areas: Human-Robot Interaction, Bayesian Deep Learning, Visual Servoing, Eye Tracking Key Techniques: Graph Convolutional Networks, Predictive Modeling, Feature Descriptors Recent publications highlight their contributions to gaze-based interaction safety, dropout placement in neural networks, and predictive tuning methodologies. They operate from Room 01.029, Pfaffenwaldring 5a, 70569 Stuttgart.

• Machine Learning
• Artificial Intelligence
• Human-Robot Interaction
• +۱۲ مورد دیگر

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.

• Digitalization
• Control Systems
• Optimization Algorithms
• +۴ مورد دیگر

Prof. Dr. Henner Gärtner is a full Professor for Industrial Logistics in the Department of Mechanical Engineering and Production at Hamburg University of Applied Sciences (HAW Hamburg). He is also Program Coordinator of the cooperative Mechanical Engineering program with the University of Shanghai for Science and Technology, Chairman of the Study Reform Committee, and deputy member of the Department Council. Education & Academic Focus Doctorate (Dissertation on stock-out cost quantification, PZH-Verlag, 2011) Research stays and teaching activities in Germany and China Research Interests Prof. Gärtner’s work spans decentralized production control , Industry 4.0 testbeds , autonomous transport systems (AGVs) , and real-time ergonomic monitoring . A flagship project is the Shared Guide Dog 4.0 , an AI-equipped autonomous rollator that supports blind and visually impaired pedestrians through advanced navigation and puddle-detection algorithms. Scientific Awards Hamburger Lehrpreis 2022 – Excellence in Teaching Projects & Funding SafeWalker – safe navigation assistance for elderly pedestrians Shared Guide Dog 4.0 – AI-driven mobility aid (with DAAD & BMAS support) GehwegNavi – sidewalk navigation for the visually impaired Decentralized Manufacturing Control testbed – “swimming-pool” model for resource negotiation Collaborative projects with Lufthansa Technik Logistik Services, VTG AG, DESY, and Krüss GmbH Teaching & Supervision He teaches bachelor and master modules such as Industrial Logistics , Production Planning & Control , Operations Management , and Project Management & Communication . Prof. Gärtner has supervised more than 30 bachelor and master theses on topics ranging from decentralized AGV control to AI-based computer-vision apps for barrier-free mobility. Labs & Teams Prof. Gärtner leads activities within the Institute for Product and Production Management (IPP) at HAW Hamburg and coordinates interdisciplinary student teams working on robotics, lean production, and service engineering.

• Industrial Logistics
• Production Management
• Decentralized Manufacturing Control
• +۵ مورد دیگر

Mariana Medina Sánchez is a prominent researcher at the Leibniz Institute for Solid State and Materials Research Dresden, specifically affiliated with the Institute for Integrative Nanosciences. Her work bridges nanotechnology and biomedical applications, with a strong emphasis on developing functional microrobotic systems for clinical use. Her research focuses on medical microrobots , microfluidics , targeted drug delivery , biosensing , magnetic actuation , and assisted fertilization . These interests reflect a deep integration of materials science, robotics, and reproductive medicine, aiming to create minimally invasive, intelligent therapeutic platforms. The recent articles highlight a consistent trend toward smart, biocompatible microrobots capable of onboard sensing , remote actuation , and controlled degradation . The research spans applications in cancer therapy, reproductive medicine, gastrointestinal delivery, and single-cell analysis, demonstrating a broad yet cohesive vision in biomedical nanorobotics. While no specific scientific awards are listed in the provided text, her frequent publications in high-impact journals such as Nature Nanotechnology , ACS Nano , and Advanced Intelligent Systems suggest significant recognition in the field. Mariana Medina Sánchez actively collaborates with leading scientists across institutions, including Oliver G. Schmidt, Alberto Escarpa, and Carsten Werner. Her work likely involves interdisciplinary teams and may be supported by competitive research grants, although specific funding sources are not mentioned. She has not listed any formal advisees, but her senior authorship indicates a leadership role in mentoring junior researchers. Her research is conducted within the Institute for Integrative Nanosciences at IFW Dresden, a hub for advanced nanofabrication and functional materials, where she likely leads or co-leads a research group focused on biomedical microsystems and nanorobotics.

• Medical microrobots
• Microfluidics
• Targeted Drug Delivery
• +۷ مورد دیگر

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +۶ مورد دیگر

Yu Li is a Lecturer at the University of Picardie Jules Verne (UPJV) and a member of research unit UR 4290 “Optimization and Cryptography, AI – OCIA.” His office is located in room 302, reachable by internal telephone extension 5900. Research Interests Dr. Li’s research spans several inter-related domains: Optimization & Control Theory – developing dynamic optimization algorithms for industrial processes such as continuous casting in steel manufacturing. Cryptography & Security – investigating secure and dependable models for cloud and distributed systems. Artificial Intelligence & Robotics – integrating AI perception and decision-making into cloud-connected robotic platforms, including exoskeletons for rehabilitation and autonomous ground vehicles. Cloud & Fog Computing – designing middleware and domain-specific languages that seamlessly connect robotic devices with cloud and edge resources. Publication Trends Over the past decade, Dr. Li’s publication record reveals a clear evolution from foundational work in software architecture and component-based systems (2010-2016) toward cutting-edge applications in cloud/fog-enabled robotics and AI-driven cyber-physical systems (2017-2023). His studies increasingly emphasize real-world deployment, simulation-driven resource estimation, and human-centric interaction in rehabilitation robotics. Scientific Awards & Recognition No specific awards are listed in the provided materials. Advising & Funding No explicit information about supervised students or funded grants is available in the text supplied. Laboratories & Teams He carries out his research within the UR 4290 research unit “Optimization and Cryptography, AI – OCIA” at UPJV, focusing on collaborative projects that bridge mathematics, computer science, and robotics engineering.

• Optimization
• Cryptography
• Artificial Intelligence
• +۵ مورد دیگر