جست‌وجوی استاد و پژوهشگر

• Telecommunications
• Wireless and Mobile Communication Systems
• 5G and Beyond Networks
• +۱۲ مورد دیگر

Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.

Pengcheng Liuمشاهده پروفایل

مدرس ارشد

• Robotics
• Bio-inspired Robotics
• Soft Robotics
• +۱۴ مورد دیگر

Pengcheng Liu is an Associate Professor (Senior Lecturer) in Robotics and Applied Control at the Department of Computer Science, University of York, UK. He has previously held academic positions at Cardiff Metropolitan University, University of Lincoln, Bournemouth University, and visiting roles in China. He is a member of IEEE and IFAC, and serves on several IEEE Technical Committees related to robotics and automation. PhD in Robotics and Control MSc in Control Theory and Control Engineering BEng in Measurement Control and Instrumentation His research focuses on the convergence of robotics and biology, particularly in bio-inspired design, soft robotics, human-robot collaboration, rehabilitation, and embodied AI. He explores how biological systems can inform adaptive, resilient, and energy-efficient robotic systems. His work spans modeling animal/human motion, sensory-motor learning, morphological design, and control optimization. The 15 most recent publications reflect a strong interdisciplinary trend combining robotics, control theory, machine learning, and biomedical applications. Key themes include soft robotics, bio-inspired actuators, motion planning, rehabilitation systems, and wireless communication for robotic systems. The research integrates simulation, hardware prototyping, and intelligent control, often using ROS and Gazebo. Global Peer Review Awards — Top 1% in Cross-Field (2019) Global Peer Review Awards — Top 1% in Engineering (2019) Outstanding Associate Editor of 2020, IEEE Access Outstanding Contribution Awards, Elsevier (2017) Dr Liu has extensive experience in securing and managing research grants from EPSRC, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, HEIF, NHS I4I, and NSFC. He serves as a regular reviewer for around 30 journals and 8 flagship conferences in robotics, AI, and control. He is an Associate Editor for IEEE Access and Academic Editor for PeerJ Computer Science, and has contributed to special issues on computational learning for robotics. He leads research in bio-inspired robotics and advises PhD students in areas such as lifelong learning machine intelligence, soft robotics, motion planning, and cyber-physical systems. He is actively recruiting motivated PhD candidates with backgrounds in engineering, computer science, or applied mathematics.

• Multibody System Dynamics
• Flexible Multibody Systems
• Underactuated Mechanical Systems
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Robert Seifried is a Full Professor and Chair for Structural Mechanics at the Institute of Mechanics and Ocean Engineering , Hamburg University of Technology (TUHH) . He also serves as the Dean of the School of Multidisciplinary Engineering Science and Technologies since 2019. His leadership roles include Head of FIT, Head of AIW, Head of Engineering Science, and Head of Theoretical Mechanical Engineering. He is actively involved in research, teaching, and academic administration. PhD in Mechanical Engineering, University of Stuttgart (2005) Habilitation in Applied Mechanics, University of Stuttgart (2012) Postdoctoral research at UC Berkeley (2006–2007) Assistant Professor at University of Stuttgart (2008–2013) Full Professor at University of Siegen (2013–2014) Full Professor at TUHH (since 2014) Prof. Seifried’s research centers on multibody system dynamics , with a strong emphasis on underactuated and flexible systems . His work spans soft robotics , particle dampers , topology optimization , and ocean engineering . He investigates advanced control strategies such as funnel control, servo constraints, and stable inversion, particularly for systems with nonlinearities and impacts. His research integrates computational modeling (e.g., isogeometric analysis, adjoint sensitivity) with experimental validation in areas like wave energy converters and underwater robotics. The recent publications highlight a trend toward interdisciplinary robotics and smart ocean technologies . Key themes include soft robot control and sensing , particle damping for vibration suppression , topology optimization under uncertainty , and modeling of nonlinear ocean waves . These works demonstrate a consistent focus on enhancing system performance, robustness, and energy efficiency through advanced simulation and control. Lead investigator in multiple research projects on multibody dynamics and ocean systems Advisor to numerous PhD and Master’s students in robotics and mechanics Developer of simulation tools like Dynmanto for multibody systems Recipient of research funding for projects in soft robotics, wave energy, and vehicle dynamics Prof. Seifried leads a dynamic research group focused on mechanics and marine engineering . His team develops novel solutions for soft and underwater robots , hybrid particle dampers , and optimized marine structures . The group combines theoretical modeling, numerical simulation, and experimental testing, often in collaboration with industry and international institutions. Their work supports future advancements in autonomous marine systems, resilient infrastructure, and energy harvesting technologies.

Mark Goulthorpeمشاهده پروفایل

دانشیار

• Digital Design
• Robotic Fabrication
• Composite Fabrication
• +۳ مورد دیگر

Mark Goulthorpe is an Associate Professor at the Massachusetts Institute of Technology (MIT) Department of Architecture, where he teaches undergraduate, graduate, and post-graduate programs. His research focuses on digital design and fabrication, including robotic fabrication, composite methodologies, and dynamically reconfigurable architectural systems like the HypoSurface. He leads the Design Stream in the SMArchS program and directs interdisciplinary teams through dECOi Architects, HypoSurface, and Zero+ initiatives. Established Kuka robotic fabrication facility (MIT-IDC collaboration) Recipient of multiple awards including FEIDAD, Tomorrow Award, and Mass Challenge finalist Authored books on digital architecture and co-authored projects with international collaborators His work explores material innovation and carbon-efficient technologies, targeting applications in second-world housing markets and high-profile architectural installations. Scientific awards include: MISTI award (2011) FEIDAD award for digital design (2004) Tomorrow Award for new media (2012) Architectural League of NY Emerging Voices (2006) Architecture Record Design Vanguard (2005) Mass Challenge finalist (2011) Contact: mg_decoi@mit.edu | MIT School of Architecture

Jörn Dunkelمشاهده پروفایل

استاد

• Biological Physics
• Active Matter
• Soft Matter
• +۴ مورد دیگر

Jörn Dunkel is the MathWorks Professor of Mathematics and Professor of Applied Mathematics at the Massachusetts Institute of Technology (MIT), where he has been faculty since 2013. He holds appointments in the Department of Mathematics, with research spanning biological physics, active matter, and nonlinear dynamics. His work integrates theoretical modeling, computational approaches, and collaborative experiments to study complex systems across scales. Education: Dr. rer. nat. in Physics, Universität Augsburg (2008) Dipl. Math & Dipl. Phys, Humboldt-Universität zu Berlin (2004-2005) Visiting Student, University of Oxford (2000-2001) Research Focus: Dunkel's group develops mathematical frameworks for biological and soft matter systems, with emphasis on: emergent order in active materials; topological methods in biophysics; nonequilibrium statistical mechanics; and hydrodynamic theories of living systems. Recent breakthroughs include programmable active matter, topological control of biological networks, and entropy dynamics in living cells. Publication Trends: His 15 most recent works (2021-2024) reveal strong focus on: 1) Mechanobiology of cellular structures (membranes, nuclei), 2) Collective dynamics in active matter and biofilms, 3) Topological analysis of biological organization, and 4) Machine learning approaches for complex systems modeling. These consistently bridge mathematical theory with experimental biophysics. Awards & Honors: Schmidt Science Polymath Award (2023) Complex Systems Scholar Award, McDonnell Foundation (2016-2020) Alfred P. Sloan Research Fellowship (2015-2017) Gustav Hertz Prize, German Physical Society (2011) Multiple MIT-specific research and teaching awards Research Infrastructure: Leads the Physical Mathematics Group at MIT, collaborating with experimental labs worldwide. Regular group meetings (Thursdays) and seminar series (Physical Mathematics Seminar Tuesdays) anchor interdisciplinary research in mathematical biophysics.

• Robotics
• Control Systems
• Predictive Control
• +۶ مورد دیگر

Jan Swevers is a Full Professor at KU Leuven , affiliated with the MECO Research Team . His work focuses on predictive control, sensor-based robotics, and optimal motion planning, with applications in autonomous systems, industrial robotics, and aerospace engineering. Research Interests : Predictive control (Model Predictive Control, Iterative Learning Control), sensor-based robotics (surface following, cable shaping), optimal motion planning (Reeds-Shepp algorithms, time-optimal interception), and constraint handling in robotics. Publications : Recent work explores deformable object dynamics, autonomous surface vessel navigation, and computational efficiency in optimal control. Key trends include integrating predictive control with real-time estimation, simplifying complex environments via constraint reduction, and advancing human-like autonomous driving through imitation learning. Advising : Supervised PhD theses on topics like constraint-based robot programming, motion planning, and predictive control for sensor-based tasks. Labs : Leads the MECO Research Team at KU Leuven, focusing on control systems, robotics, and optimal planning.

• Theory of Machines and Mechanisms
• Mechanical Vibrations
• Kinematic and Dynamic Analysis of Mechanisms
• +۵ مورد دیگر

Lluïsa Jordi Nebot is a Lecturer in the Department of Mechanical Engineering at the Polytechnic University of Catalonia (UPC) , attached to the Barcelona School of Industrial Engineering (ETSEIB) . She teaches core subjects such as Theory of Machines and Mechanisms and Mechanical Vibrations across a variety of undergraduate and master’s programmes and has supervised over 80 student theses and projects since 2006. Education and Programmes. The curricula she contributes to include: Master’s Degree in Statistics and Operations Research (2006) Master’s Degree in Industrial Engineering (2014) Degree in Engineering Physics (2011) Degree in Chemical Engineering (2010) Erasmus Mundus Master’s in Mechanical Engineering (2006 & 2009) Master’s Degree in Teacher Training for Secondary and High-School Education (2009) Degree in Industrial Technologies and Economic Analysis (2018) Research Focus. Her research spans kinematics & dynamics of mechanisms , mechanical vibrations , biomechanical analysis using smartphones , and educational technology —particularly augmented reality and AI-enhanced learning in mechanical engineering. She actively integrates sustainable development goals into engineering curricula and participates in the CDEI_DM research group on industrial equipment design and machine dynamics. Recent Work Trends. Over the past three years her scholarly output has concentrated on: AR/VR tools for teaching mechanism theory ChatGPT and AI applications in engineering classrooms Low-cost biomechanical analysis with mobile devices Sustainable engineering education initiatives These themes are reflected in both peer-reviewed articles and innovative teaching materials she has developed. Scientific Awards & Recognition. No specific prizes, fellowships, or medals are explicitly listed in the provided text. Supervision & Grants. She has directed 40 master’s theses and 15 bachelor’s theses to date, working with multidisciplinary teams of students on projects ranging from climbing-robot mechanisms to AI-based secondary-school teaching tools. Funding sources are not detailed, but her affiliation with CDEI_DM implies participation in competitive research and educational innovation grants. Laboratories & Teams. She collaborates with the Centre de Disseny d’Equips Industrials – Dinàmica de Màquines (CDEI_DM) research group and maintains close ties with colleagues across ETSEIB, the Barcelona School of Informatics (FIB), and the Manresa School of Engineering (EPSEM).

Nelson Enrique Bances Purizacaمشاهده پروفایل

پژوهشگر

• Computational Design
• Digital Literacy
• Human-Exoskeleton Interaction
• +۳ مورد دیگر

Nelson Enrique Bances Purizaca is a Postdoctoral Researcher at the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) within the Cluster of Excellence IntCDC at the University of Stuttgart. His research focuses on integrative computational design, digital literacy, and human-exoskeleton interaction in collaborative tasks. His work bridges architecture, robotics, and digital education, with projects like RP 5-1 (Reconfiguration of Training, Skills, and Digital Literacy) and RP 24-1 (Human-Exoskeleton Interaction in Collaborative Tasks). He is based in Stuttgart, Germany, and can be contacted at Nobelstr. 12, 70569. While no specific awards or publications are listed in the provided text, his involvement in the IntCDC Cluster highlights his engagement in cutting-edge interdisciplinary research.

Zhenxiang Huangمشاهده پروفایل

پژوهشگر

• Computational Design
• Digital Fabrication
• Architectural Geometry
• +۵ مورد دیگر

Zhenxiang Huang is a Doctoral Researcher at the Institute for Computational Design and Construction (ICD) within the University of Stuttgart, and an active member of the Cluster of Excellence IntCDC. He holds a B.Arch degree from Tongji University and an M.Sc from Cornell University, where his thesis focused on reconfigurable bi-stable systems under Professor Jenny E. Sabin. Education: B.Arch (Tongji University), M.Sc (Cornell University) Current Role: Research Associate in EXC 2120 RP 3 group Focus: Computational design, robotic manufacturing, and material behavior analysis for multi-story timber systems

Soheil Gholamiمشاهده پروفایل

پژوهشگر

• Robotics
• Human-Robot Interaction
• Ergonomics
• +۳ مورد دیگر

Soheil Gholami is a Postdoctoral Researcher at the Learning Algorithms and Systems Laboratory (LASA) at the École Polytechnique Fédérale de Lausanne (EPFL) since March 2022. His research bridges robotics and human motor control , focusing on human-robot interaction , task/motion planning , ergonomics , and skill assessment . Prior affiliations include the Human-Robot Interfaces and Interaction (HRII) group at the Italian Institute of Technology (IIT) and the Neuroengineering and Medical Robotics Laboratory (Nearlab) at the Polytechnic University of Milan . Ph.D. in Bioengineering (2022) from Polytechnic University of Milan (Italy) and Italian Institute of Technology (IIT, Genoa) M.Sc. in Control Engineering (2015) from K. N. Toosi University of Technology (Tehran, Iran) His work explores teleoperation interfaces , ergonomic assessment , and scalable control schemes for robots. Key areas include microrobotics for surgery , industrial human-robot collaboration , and adaptive control methods . Articles highlight applications in telerobotics , supernumerary robotic arms , and bio-inspired control systems .

Manu Prakashمشاهده پروفایل

دانشیار

• Frugal Science
• Low-cost Diagnostic Tools
• Microscopy
• +۸ مورد دیگر

Manu Prakash is an Associate Professor of Bioengineering at Stanford University, with courtesy appointments in Biology and Oceans, and serves as a Senior Fellow at the Woods Institute for the Environment. His research spans bioengineering, oceanography, and global health with a focus on developing affordable scientific tools for communities worldwide. Dr. Prakash earned his Ph.D. in Applied Physics from MIT (2008), an M.S. in Applied Physics from MIT (2004), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology (2002). His academic journey included a Junior Fellowship at the Harvard Society of Fellows (2008-2011) before joining Stanford. Prakash's research centers around 'frugal science' - developing low-cost, accessible scientific tools that can be deployed globally. His work includes creating pocketable microscopes (Foldscope), mosquito and plankton monitoring systems, and autonomous malaria diagnostic platforms. He uses interdisciplinary approaches to understand how computation is embodied in biological matter, including cognition in single-cell protists and morphological computing in animals without neurons. His laboratory has produced numerous innovative tools deployed worldwide, including Foldscope for microscopy and Abuzz for mosquito surveillance. His publications reveal a strong focus on developing instruments for studying non-model organisms, particularly marine life, and addressing fundamental questions about cellular sensing mechanisms. MacArthur Fellow, MacArthur Foundation (2016) HHMI-Gates Faculty Scholar, HHMI (2016-2021) TR35, MIT Technology Review (2014) Brilliant 10, Popular Science (2014) TED Senior Fellow (2011-2013) Junior Fellow, Harvard Society of Fellows (2008-2011) Prakash actively mentors numerous doctoral students and postdoctoral researchers working on projects related to frugal science, ocean monitoring, and disease diagnostics. His laboratory collaborates globally with organizations including the Institute Pasteur in Senegal, UCSF Malaria Eliminate Initiative, and research institutions in Tanzania and India. Major projects include Planktoscope for ocean microbial mapping, Octopi for malaria diagnostics, and Foldscope for low-cost scientific instruments.

Ulrich Rückertمشاهده پروفایل

استاد

• Neuromorphic Computing
• Embedded Systems
• Machine Learning
• +۹ مورد دیگر

Prof. Dr.-Ing. Ulrich Rückert is a Professor at the Faculty of Engineering of the University of Bielefeld , where he leads the Cognitronics & Sensor Technology Group and participates in CITEC (Center for Cognitive Interaction Technology). He serves as Vice Rector for Digitalization and Data Infrastructure , driving university-level digital transformation initiatives. Research Focus : Neuromorphic computing, spiking neural networks (SNNs), embedded systems, robotics, UWB localization, and reconfigurable hardware. Projects : Leading federal and EU-funded initiatives like eProcessor (RISC-V multi-core systems), VEDLIoT (efficient deep learning in IoT), and Al4DG (AI in distribution grid control). Teaching & Leadership : Academic advisor for the Master in Biomechatronics , chairs examination boards, and leads the Library Commission . His work integrates neuromorphic hardware with edge computing and real-time systems , supported by grants from the European Union and German Federal Government . Recent publications analyze FPGA-based SNNs , UWB localization , and resource-efficient embedded architectures . Scientific Contributions : Over 200 publications in robotics, neural networks, and hardware-software co-design. Notable collaborations with institutions in Germany, Switzerland, and Italy.

• Computational Neuroscience
• Biomechatronics
• Bio-inspired Robotics
• +۵ مورد دیگر

Dr. Hanno Gerd Meyer is a Postdoctoral Fellow at the Faculty of Engineering, University of Bielefeld, working with the Center for Cognitive Interaction Technology (CITEC) and the Research Group Biomechatronics since January 2016. His research focuses on understanding insect visual systems and developing bio-inspired camera systems for robotic platforms. Dr. Meyer received his PhD in Computational Neuroscience from Bielefeld University in February 2014 with his dissertation titled 'Representation of Visual Motion Information in the Fly Brain'. His academic background includes an International Master's program in 'Systems Biology of Brain and Behavior' (2008-2010) and undergraduate studies in Biology and Psychology (2003-2008), all at Bielefeld University. His research centers on how flying insects like flies and bees use their visual systems for course control, collision avoidance, and spatial navigation. Despite having relatively few neurons and poor spatial resolution compared to artificial systems, insect visual systems demonstrate remarkable speed, flexibility, and resource efficiency. Dr. Meyer's work aims to translate these biological principles into engineering applications for robotic vision systems. He collaborates with the Cognitronics group at CITEC to develop algorithms on dynamically reconfigurable hardware combined with low power microprocessors. These algorithms extract motion information from optic flow to enable robotic agents to perform visually-guided orientation behavior in unfamiliar terrain based on principles found in insect neurobiology. Dr. Meyer has been actively involved in research at Bielefeld University since 2010, progressing from Scientific Assistant positions in the Department of Neurobiology to his current Postdoctoral Fellowship. His work contributes to Bielefeld's Socio-Technical World strategic research area, which focuses on capabilities enabling agents like humans, robots, and AI to act and communicate in complex environments.

• Intelligent Systems
• Reconfigurable Manufacturing Systems
• Wireless Sensor Networks
• +۵ مورد دیگر

Sesh Commuri is a Professor in the Department of Electrical and Biomedical Engineering at the University of Nevada Reno. His research focuses on intelligent systems, sensor networks, and robotics, with applications in civil infrastructure and prosthetic design. Research interests include: Development of the Intelligent Asphalt Compaction Analyzer (IACA) for real-time pavement quality assessment Intelligent control systems for prosthetic limbs to improve gait symmetry Application of neural networks and AI in engineering systems Operability analysis of networked manufacturing systems He has supervised 13 master's theses and 7 Ph.D. dissertations. Dr. Commuri has secured over $19 million in research funding, including $2.8 million individually, and holds 9 patents. His work spans civil engineering, biomedical engineering, and Industry 4.0 technologies.

• Artificial Intelligence
• Bio-inspired computation
• Collective behaviour
• +۴ مورد دیگر

Nicolas Hugo Bessone is a Research Fellow at the IT University of Copenhagen , affiliated with the Robotics, Evolution, and Art Lab . His research focuses on artificial intelligence, bio-inspired computation, and evolutionary robotics, with a particular emphasis on decentralized systems and emergent collective behavior. Fields of Interest : Artificial Intelligence, Bio-inspired computation, Collective behaviour, Decentralized systems, Emergence, Evolutionary algorithms, Evolutionary robotics He is currently involved in two European Commission-funded projects: MUHMI-MOZART (2024–2026) and MOZART (2022–2026). These projects explore multimodal human-machine interfaces, distributed manipulation, and reconfigurable systems through embodied sensing and AI.