جست‌وجوی استاد و پژوهشگر

• Materials Science
• Polymer Chemistry
• Soft Robotics
• +۳ مورد دیگر

Jie Jiang is a Postdoctoral Research Fellow at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Department of Materials Science and Environmental Engineering. His research focuses on advanced materials such as liquid crystal elastomers, hydrogels, and nanocomposites, with applications in soft robotics, sensors, and actuators. His work emphasizes stimuli-responsive materials, phase transitions, and multifunctional devices. Key research interests include smart materials design, electroactive polymers, and nanotechnology-driven solutions for environmental and engineering challenges. His contributions span material synthesis, actuator development, and sensor technologies, often leveraging interdisciplinary approaches like electrospinning and MOF integration. No scientific awards are explicitly mentioned in the provided text. Information on advising students or grants is not provided. His work is centered at Tampere University, with no mention of additional labs or collaborative teams.

Scott Koziolمشاهده پروفایل

دانشیار

• Robotics
• Neuromorphic Engineering
• Embedded Systems
• +۹ مورد دیگر

Dr. Scott Koziol is an Associate Professor and Associate Chair in the Department of Electrical & Computer Engineering at Baylor University, College of Engineering. He is actively leading research and teaching in robotics, embedded systems, and neuromorphic engineering. PhD in Robotics, Georgia Institute of Technology (2013) MS in Mechanical Engineering, Georgia Institute of Technology (2011) MS in Electrical Engineering, Iowa State University (2000) BS in Electrical Engineering, Cedarville University (1998) His research focuses on robotics, neuromorphic engineering, embedded systems, and analog/digital signal processing . He develops bio-inspired algorithms for autonomous navigation and implements them using reconfigurable analog VLSI and Field Programmable Analog Arrays (FPAA). His work integrates machine learning with stochastic computing and explores event-based vision, quantum random number generation, and assistive technologies such as The Reminding Walker device. His recent publications span topics including autonomous path planning, millimeter-wave radar for biomechanics, stochastic neural networks, and quantum workforce development. These works appear in journals like IEEE Access , Entropy , and Quantum Science and Technology , reflecting a multidisciplinary approach that bridges robotics, computing, and biomedical applications. Best Live Demo Award, ISCAS 2010 Outstanding Poster Presentation Award, URSA Scholars Week 2016 Dr. Koziol advises numerous graduate and undergraduate students, including thesis authors in robotics and neuromorphic computing. His research is supported by sponsors such as DARPA, ONR, DOE, and Baylor’s internal programs. He leads the Neuromorphic & Robotic Systems Lab located at the Baylor Research and Innovation Collaborative (BRIC), where his team conducts cutting-edge work in hardware-based neural computation and autonomous systems.

JAVIER DÍEZ GONZÁLEZمشاهده پروفایل

استاد

• Robotics
• Wireless Sensor Networks
• Smart Manufacturing
• +۴ مورد دیگر

JAVIER DÍEZ GONZÁLEZ is a Professor at the Universidad de León , affiliated with the College of Industrial, Information and Aerospace Engineering and the Department of Mechanical, Computer and Aerospace Engineering . He leads research in intelligent systems for manufacturing ( SINFAB research group), focusing on cutting-edge applications of localization technologies, robotics, and optimization algorithms. Research Interests : Advanced localization systems for autonomous vehicles and robots Smart manufacturing and Industry 4.0/5.0 integration Optimization techniques for wireless sensor networks Metaverse applications in industrial and educational contexts Hybrid AI and fuzzy logic for aerospace engineering problems Scientific Contributions : His recent work (2025-2024) explores asynchronous localization architectures, collaborative robotics, mixed reality training, and metaverse-human interaction. He has pioneered UWB-based positioning solutions for UAVs and AMRs, with a strong focus on error characterization, sensor deployment, and robustness under failure conditions. Academic Background : Earned a PhD (2020) from Universidad de León with a thesis on time-based local positioning systems, supervised by Dr. Hilde Pérez García.

Josep Maria Porta Pleiteمشاهده پروفایل

پژوهشگر

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +۷ مورد دیگر

Josep Maria Porta Pleite is an Associate Researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). He leads the Kinematics and Robot Design (KRD) research group and has been actively contributing to robotics and computational kinematics since 2007. His work bridges theoretical algorithm development and practical applications in robotics, molecular biology, and environmental toxicology. Porta’s research spans motion planning , robot kinematics , SLAM , and planning under uncertainty . He has made significant contributions to solving complex kinematic problems in closed-chain systems and molecular conformational spaces. His work often involves developing efficient algorithms and open-source software tools such as the CuikSuite , Cuik-KDtree , and Pose SLAM , which are widely used in robotics research. His recent publications (2019–2025) reveal a strong trend toward interdisciplinary applications, particularly in zebrafish behavioral analysis and neurotoxicology , where computational methods are applied to assess environmental contaminants. He also continues to advance core robotics problems, including trajectory optimization, hand-eye calibration, and closed-form solutions in rotation geometry. His work appears in top-tier journals such as IEEE Transactions on Robotics , Mechanism and Machine Theory , and Science of the Total Environment . Porta has served as an associate editor for IEEE Transactions on Robotics (2015–2018) and has supervised numerous students and collaborators. He has led long-term software development efforts and secured research funding through national and European projects. Scientific Contributions: Lead developer of the CuikSuite for motion analysis of closed-chain systems. Coordinator of the KRD research group since 2011. Contributor to ambient intelligence and robot localization during his postdoc at the University of Amsterdam. He advises multiple students in robotics, computer vision, and biomedical applications, and his team develops tools for path planning, singularity analysis, grasp optimization, and molecular modeling. There is no indication of part-time status, retirement, or former affiliation.

• Robotics
• Cybersecurity
• Automation and Robotics
• +۴ مورد دیگر

Wojciech Szynkiewicz is an Associate Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. His research focuses on robotics, cybersecurity, and automation, with a particular emphasis on human-aware navigation, cyber-physical systems security, and sensor data analysis. He has contributed to projects such as the RAPP platform for robotic applications and the National Cybersecurity Platform. Education: Doctor of Technology in Automation and Robotics (1996), Habilitation in Automation and Robotics (2016). Research interests include path planning for cooperative robots, anomaly detection in robotic systems, and deep learning applications in cybersecurity. He has authored over 70 publications, including works on benchmarking social robot navigation (SRPB) and cybersecurity protocols for mobile service robots. Notable achievements include the 1st Team Award for Scientific Achievements (2013-2014) and the 2nd Individual Award (2016) from the Rector of Warsaw University of Technology. His work on multi-agent robotic systems and reconfigurable fixtures has led to advancements in collaborative robotics and industrial automation. Current projects involve developing secure communication frameworks and energy-efficient sensing infrastructure.

• Robotics
• Control Theory
• Intelligent Control Systems

Assoc. Prof. Dr. Umut TİLKİ is a faculty member at the Faculty of Engineering and Natural Sciences of Middle East Technical University, specializing in Electrical and Electronics Engineering . His research spans robotics, control systems, and intelligent control mechanisms, with significant contributions to fault-tolerant control systems and autonomous vehicle navigation. Doctorate: Electrical and Electronics Engineering, Middle East Technical University (2012) Licence: Electronics and Communications Engineering, Süleyman Demirel University (2001) Research Focus: Robotics and control systems, particularly in: Fault-tolerant control systems for mobile robots and UAVs Sliding mode control and adaptive algorithms Autonomous underwater vehicle navigation Human gesture imitation via fluid swarm modeling Recent Publications (2021-2025): Focus on fault-tolerant control mechanisms for mobile robots and UAVs, trajectory tracking algorithms with sliding mode control, and fluid-based gesture imitation systems. His work demonstrates strong integration of theoretical control systems (e.g., adaptive algorithms, backstepping techniques) with practical applications in aerospace and robotics. Teaching Responsibilities: Covers academic research methods, circuit analysis, control systems, robot dynamics, digital control, and specialized field courses at both Master's and Doctorate levels.

• RF Circuit Design
• RF Energy Harvesting
• RFID Technology
• +۴ مورد دیگر

Dr. Mahmut Ahmet GÖZEL is an Assistant Professor at the Department of Electrical and Electronics Engineering, Suleyman Demirel University. He holds a BSc (2011), MSc (2015), and PhD (2020) from the same university. His research focuses on RF circuit design, microwave engineering, and energy harvesting with applications in environmental monitoring, biomedical systems, and wireless communication. He has been actively involved in academic roles since 2013, transitioning to his current faculty position in 2022. Education: BSc: Electronics and Communication Engineering, Suleyman Demirel University (2011) MSc: Electronics and Communication Engineering, Suleyman Demirel University (2015) PhD: Electronics and Communication Engineering, Suleyman Demirel University (2020) His research interests include antenna design, RF energy harvesting, and frequency-selective surface applications. Notable projects involve 3D-printed microwave probes for water level detection, adaptive RF filters using varactor diodes, and biomaterial-based electromagnetic absorption studies. He has contributed to over 15 peer-reviewed articles in journals like Sensors and Actuators A: Physical and Microwave and Optical Technology Letters. His work emphasizes practical applications such as automotive oil level monitoring systems and recycling Tetra Pak waste for electromagnetic shielding materials. Collaborations with industry highlight his commitment to bridging theoretical research with real-world engineering challenges.

Birgit Vogel-Heuserمشاهده پروفایل

استاد

• Systems Engineering
• Software Engineering
• Embedded Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Birgit Vogel-Heuser is a Full Professor and Director of the Chair of Automation and Information Systems at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. She holds leadership roles as Vice Dean for Research and Innovation and is involved in strategic initiatives like the Munich Institute of Robotics and Machine Intelligence (MIRMI). Her research focuses on evolvable automation architectures, human-machine interaction, and data-driven manufacturing processes. Education: Diploma in Electrical Engineering (RWTH Aachen, 1987), PhD in Mechanical Engineering (RWTH Aachen, 1990). Industry Experience: Over 10 years in industrial automation, including roles at Phoenix Contact GmbH. Leadership Roles: Head of TUM Strategy and Study Commission for Mechanical/Process Engineering Faculties (since 2025) IEEE Fellow (2023) and Distinguished Lecturer (IEEE RAS) Member of Bavarian Academy of Sciences and Humanities (acatech) Research Interests: Systems/software engineering, embedded systems, Industry 4.0/5.0, digital twins, and cyber-physical systems. Key projects include the KI.FABRIK Bayern initiative and the DFG-funded Priority Program SPP 2422 on data-driven process modeling. Awards: Federal Cross of Merit (2024), IEEE Fellow, Borchers Plaque (1991), and others. Grants/Projects: Lead roles in over 30 funded projects, including CRC 768 and SPP 1593 on software evolution. Publications: Over 200 journal/conference papers, including impactful work on industrial agents and automation architectures. Labs/Teams: Leads the MIRMI 'Work' sector and collaborates with industry partners like Grammer AG and HAWE Hydraulik SE. Active in standardization (e.g., IEEE 2660.1-2020).

• Unconventional Computing
• Bio-inspired Computing
• Modeling and Simulation
• +۴ مورد دیگر

Dr. Antisthenis Tsompanas is a Senior Lecturer in Computer Science at the University of the West of England (UWE), part of the Faculty of Engineering and the Environment (FET). His research focuses on unconventional and bio-inspired computing, with expertise in modeling biological processes, cellular automata, and memristive systems. He holds degrees in Electrical and Computer Engineering from Democritus University of Thrace, Greece. Research interests span unconventional computing, bio-inspired algorithms, electronic systems design, and applications of cellular automata in computing and engineering. His work includes projects on fungal-inspired computing, neuroevolution-based medical device design, and FPGA implementations of biological models. Publications highlight trends in mycelium-based systems, memristive oscillators, and neuroevolution techniques applied to soft robotics and medical devices. Collaborative projects include EU-funded initiatives and interdisciplinary research in biomimetic engineering. He is a member of the Technical Chamber of Greece since 2009. Current contributions include advancing biohybrid actuators, developing models for engineered living materials, and exploring computational universality in biological systems.

• Robotics
• Mechanism Design
• Kinematics
• +۴ مورد دیگر

Charalambos Valsamos serves as an Assistant Professor at the University of the Aegean, based at the Syros campus in Ermoupolis, Greece. His office is located in the Old 1st Gymnasio Building (office A.1.2.3) with a postal address at Konstantinoupoleos 2, Ermoupolis, Syros, TK 84100. Dr. Valsamos holds a PhD in Mechanical & Naval Engineering from the University of Patras (awarded 2017), where he completed his undergraduate studies in Mechanical Engineering in 2005. His doctoral research focused on the 'Methodology of Optimal Design of Metamorphic Arm'. His research spans advanced robotics domains with emphasis on kinematic analysis of robotic arms , metamorphic mechanism design , and computational optimization . He develops structural elements for novel robotic arms, transformation mechanisms for anatomy reconfiguration, and efficiency indices for robotic task execution. His work integrates Fuzzy Logic and Genetic Algorithms to optimize robotic work cells and arm anatomy for maximum operational efficiency. Dr. Valsamos teaches core engineering courses including Introduction to Computer Aided Design (CAGD), Design and Manufacturing Technologies, Design and Analysis of Mechanisms, and Studio 7B – Detailed Product Design I, reflecting his expertise in mechanical systems and robotic design. While his publications appear in international conferences and journals, specific works aren't listed in available materials. His research trajectory demonstrates consistent focus on enhancing robotic system performance through innovative mechanism design and computational intelligence applications.

Virginie Galtierمشاهده پروفایل

پژوهشگر

• Distributed Computing
• Grid Computing
• Parallel Processing
• +۵ مورد دیگر

Virginie Galtier is a Researcher at the Laboratoire Lorrain de Recherche en Informatique et ses Applications (LLLIA), affiliated with the University of Lorraine. Her work focuses on distributed computing systems, fault-tolerant architectures, and co-simulation methodologies. She has contributed to projects involving grid computing, UAV swarm systems, and hybrid co-simulation frameworks such as DACCOSIM and MECSYCO. Her research integrates interdisciplinary approaches combining computer science with fields like financial engineering, robotics, and energy systems. Key technical contributions include: Development of fault-tolerant distributed frameworks using JavaSpace Co-simulation solutions for FMI-compliant systems Resource prediction in heterogeneous active networks Recent work emphasizes application-driven research in cyber-physical systems (CPS), particularly using UAV swarms for safety-critical applications and smart space heating modeling. Galtier collaborates extensively with academia and industry on projects requiring distributed simulation platforms and parallel processing techniques. Her technical contributions span: Parallel algorithms for large-scale grid computing Middleware design for reconfigurable distributed systems Optimization of resource utilization in heterogeneous environments She actively participates in conference proceedings and maintains close ties with the MECSYCO and DACCOSIM co-simulation ecosystems. Current research directions include advancing hybrid co-simulation interoperability and exploring adaptive frameworks for dynamic computing environments.

Sean Follmerمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Haptics
• Human Robot Interaction
• +۳ مورد دیگر

Sean Follmer is an Associate Professor of Mechanical Engineering and courtesy faculty in Computer Science at Stanford University. He leads the Stanford Shape Lab and is affiliated with the Stanford HCI Group and Design Program. His research focuses on human-computer interaction, haptics, and human-robot interaction, emphasizing tactile interfaces and shape-changing robotics to enhance accessibility and collaboration. Education: PhD and MEng (2015/2011) from MIT Media Lab, BS in Engineering (Product Design focus) from Stanford. He has received prestigious awards including the NSF CAREER Award and Alfred P. Sloan Fellowship, alongside 17 best paper awards across UIST/CHI conferences. Research spans tangible user interfaces, haptic interaction, accessible design for visually impaired users, and robotics. Notable projects include 3D shape displays, tactile data visualization tools, and swarm robotics for haptics. His work has been showcased globally at museums like the Smithsonian Cooper Hewitt and Milan Design Week. Labs/Teams: Directs the Shape Lab, collaborating with Stanford HCI Group. His lab develops prototypes like shape-shifting tables and deformable interfaces, prioritizing iterative prototyping and human-centered design principles.

Christopher Kittsمشاهده پروفایل

استاد

• Robotics
• Multi-robot Systems
• Control Systems
• +۷ مورد دیگر

Christopher Kitts is the William and Janice Terry Professor of Mechanical Engineering at Santa Clara University's School of Engineering, where he also serves as Associate Dean of Research and Faculty Development and Faculty Director of the Ciocca Center for Innovation and Entrepreneurship. His external appointments include Associate Researcher at the Monterey Bay Aquarium Research Institute (MBARI) and Visiting Researcher at Lawrence Livermore National Laboratory, reflecting his interdisciplinary work in field robotics. He earned his Ph.D. and M.S. in Mechanical and Aerospace Engineering from Stanford University, M.P.A. in International & Defense Policy from the University of Colorado, and B.S.E. in Mechanical & Aerospace Engineering from Princeton University. Prof. Kitts' research centers on field robotics for scientific discovery and education, with key focus areas: Multi-robot systems design and coordination Collaborative Human/Cobot Control architectures Model-Based Anomaly Management for spacecraft Advanced robotic platforms for underwater, terrestrial, aerial, and space environments His recent publications (2022-2025) demonstrate growing emphasis on human-robot interaction through transformer networks and emotion detection, alongside continued innovation in marine robotics and adaptive navigation for environmental monitoring. Scientific recognition includes: ASME Fellow and AIAA Associate Fellow Multiple Santa Clara University awards across teaching, research, and service NASA Group Achievement Awards (8 total) Industry honors including Edison Innovation Award and AIAA National Award His program has secured tens of millions in funding from government agencies and industry partners for student-operated NASA spacecraft missions and MBARI marine robotics projects, resulting in documented scientific discoveries like tsunami wave evidence in Lake Tahoe. He directs the Robotic Systems Laboratory and Santa Clara's Maker Lab, creating hands-on educational frameworks that integrate entrepreneurial thinking with engineering practice.

• 3D Nanomagnetism
• Curvilinear Magnetism
• Topological Spin Textures
• +۳ مورد دیگر

Robert Streubel is an Assistant Professor in the Department of Physics and Astronomy at the University of Nebraska-Lincoln. His research focuses on 3D nanomagnetism, leveraging curvature, structural disorder, and spin-orbit coupling to stabilize topological spin textures for applications in quantum microelectronics, soft robotics, and neuromorphic computing. Academic appointments: UNL Department of Physics and Astronomy (2021–present) Editorial roles: IEEE Transactions on Magnetics (2025–present) Funding: NSF DMR (2022), UNL Layman Seed Grant (2021), Nebraska EPSCoR FIRST Award (2021) Research Interests : Streubel's group investigates curvature-driven magnetism, short-range order in amorphous systems, and ferromagnetic liquids. Key subfields include chiral spin textures (skyrmions, hopfions), dipolar-coupled macrospins, and vector exchange interactions in heterogeneous media. His work bridges synthesis, characterization, and theory, with a focus on quantum materials and energy applications. Recent Publications highlight trends in 3D magnetic nanostructures (2025), ferromagnetic liquid propulsion (2024), and topological order in amorphous films (2021). The group employs advanced techniques like x-ray ptychography, Lorentz microscopy, and magneto-optical Kerr effect magnetometry. Scientific Recognition : Emerging Investigator, Nanoscale (2022) Nebraska EPSCoR FIRST Award (2021) IEEE Transactions on Magnetics Editorial Board (2025) Outreach & Education : Streubel leads the START SMART program (2023–present), integrating physics and art for high school engagement. He oversees graduate and undergraduate researchers in projects involving molecular magnets, magnetic resonators, and spin-crossover materials. His group collaborates extensively with national labs and universities on quantum materials.

Ole Ballingمشاهده پروفایل

استاد

• Multibody Dynamics
• Wind Turbine Engineering
• Operational Modal Analysis
• +۴ مورد دیگر

Ole Balling is a Professor at the Department of Mechanical and Production Engineering, Aarhus University, Denmark, specializing in multibody dynamics and vibration analysis. His work bridges theoretical mechanics with practical applications in renewable energy and agricultural systems, leveraging advanced computational modeling for industrial-scale engineering challenges. His primary research interests include Multibody Dynamics for structural simulation, Operational Modal Analysis in rotating machinery, Wind Turbine Engineering (focusing on gearboxes and blades), and Soil-Vehicle Interaction for agricultural/military applications. He also develops Digital Twin frameworks for agricultural vehicles and investigates Vibration Control in robotic systems, with strong emphasis on experimental validation and energy-efficient design. Recent publications (2020-2023) reveal concentrated expertise in offshore wind turbine reliability (gear microgeometry, tower vibrations), soil mechanics modeling (aggregate fracture, drawbar pull testing), and autonomous vehicle mobility frameworks. A recurring theme is the application of operational modal analysis to diverse systems—from parallel manipulators to wind turbine hubs—demonstrating cross-domain adaptability of his core methodologies in dynamics and control. Scientific Awards: No awards documented in source materials. Grants and project leadership highlight sustained NATO collaboration, including the ongoing Next Generation NATO Reference Mobility Model (NG-NRMM) (extending to August 2025) and Mobility Assessment Methods for Autonomous Military Ground Systems . Past projects include INNOMILL (2015-2018) for large-component machining, BioXtek (2014-2017) for agricultural technology, and Low Bottom Soft Soil Modeling (2013-2017) for terrain damage reduction. He operates within the Mechatronics and Dynamics section of the department, utilizing laboratories for vibration testing, soil mechanics experiments, and multibody simulation. Current work focuses on autonomous military vehicle assessment and wind turbine gearbox optimization, with future projects targeting energy-efficient accelerator magnets and large-scale machining cell development.