جستجوی استاد راهنمای دانشگاهی

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۴ مورد دیگر

Prof. Dr. Dr. hc Frank Kirchner is a leading robotics expert and Managing Director of the DFKI Bremen since 2020. He holds the Chair of Robotics at the University of Bremen's Faculty of Mathematics and Computer Science since 2002, leading the Robotics Innovation Center with over 100 employees. His career spans academic leadership, industry innovation, and international collaboration. Doctorate (Dr. rer. nat) from University of Bonn (1999) Diploma in Informatics and Neurobiology from University of Bonn (1994) His research focuses on biologically inspired robotics, autonomous systems, and AI, with applications in space exploration, maritime technologies, and industrial automation. He pioneered the Soft Robotics Priority Program at DFG and co-founded institutions like the Brazilian Institute of Robotics and MarTech. His recent work includes AI-driven robotic ecosystems for marine conservation and transformer-based adaptive control systems. Selected projects: AI-REEFSHIELD : AI-driven robot learning for marine habitat monitoring ActGPT : Generative AI in robot control FieldCoBots : Human-robot collaboration in agriculture Scientific recognition includes an honorary doctorate (2017), Research Fellow at Tsinghua University (2018), and membership in the Berlin-Brandenburg Academy of Sciences (2015). He has supervised over 65 doctoral theses and authored 350+ publications.

Alexandra Nillesمشاهده پروفایل

استادیار

• Sustainable Robotics
• Robotics for Climate Change
• Planning Algorithms
• +۹ مورد دیگر

Alexandra Nilles is an Assistant Professor of Computer Science at Western Washington University since Fall 2024. Previously, she was a Postdoctoral Associate at Cornell University's Collective Embodied Intelligence (CEI) Lab from 2021-2024, where she worked under Prof. Kirstin Petersen. Her research focuses on sustainable robotics, distributed AI, and embodied intelligence for environmental applications. Education: PhD in Computer Science (2020) from University of Illinois at Urbana-Champaign, advised by Dr. Steven LaValle; BS in Engineering Physics from Colorado School of Mines. Her work develops minimalist mobile robot systems that leverage embodied intelligence and environmental interactions to reduce resource demands (battery, sensors, communication) while maintaining provable performance guarantees. Applications include under-canopy forestry monitoring, micro-scale medical agents, and carbon-capture auditing. She has published in venues such as ICRA, IROS, IJRR, and WAFR, often addressing scalability challenges in chaotic or constrained environments. Key methodologies span formalized planning algorithms, human-in-the-loop control interfaces, and inflatable soft robotics for collectives. Awards: Cyber-Physical Systems Rising Star (2023) Microsoft Future Leader in Robotics and AI (2023) Nilles received NSF support for robotic mouse toy development during her PhD and served as interim PI for Cornell's CEI Lab through the NSF Career-Life Balance Program. She actively participates in interdisciplinary workshops connecting math, art, and robotics.

• Soft Robotics
• Variable Stiffness Materials
• Self-Healing Materials
• +۳ مورد دیگر

Alice Tonazzini is a researcher at the Laboratory of Intelligent Systems within the Institute of Microengineering at École Polytechnique Fédérale de Lausanne (EPFL). Her work focuses on developing innovative materials for soft robotics and wearable rehabilitation devices. Her primary research interests include soft robotics, variable stiffness materials, and self-healing composites. She specializes in creating tunable stiffness fibers using low melting point alloys encapsulated in silicone, which enable morphing capabilities in robotic systems and adaptive medical devices. Her research bridges materials science with practical applications in rehabilitation engineering and biomimetic robotics. Her notable publication demonstrates a variable stiffness fiber technology capable of >700x stiffness change and self-healing properties, with applications ranging from foldable drones to wearable casts for bone injuries. This work shows strong interdisciplinary focus connecting materials engineering with biomedical applications. Affiliations: Laboratory of Intelligent Systems, EPFL Institute of Microengineering, EPFL Swiss National Science Foundation NCCR Robotics Her research is supported by the Swiss National Science Foundation through the National Center of Competence in Research (NCCR) Robotics and the PLANTOID European project (EU-FP7-FETOpen). She collaborates extensively with researchers across EPFL and the Istituto Italiano di Tecnologia. The Laboratory of Intelligent Systems develops bio-inspired robotic solutions with applications in environmental monitoring, rehabilitation, and human-robot interaction. Tonazzini's work specifically contributes to the lab's focus on soft robotics and adaptive materials systems.

Jingqiong Zhangمشاهده پروفایل

پژوهشگر

• Data Analytics
• Manufacturing Engineering
• Signal Processing
• +۳ مورد دیگر

Jingqiong Zhang is a Research Associate in Data Analytics for Manufacturing at the School of Electrical and Electronic Engineering, University of Sheffield. Her work spans interdisciplinary applications of data analytics in materials science, robotics, and industrial systems. University: University of Sheffield School: School of Electrical and Electronic Engineering Email: Jingqiong.zhang@sheffield.ac.uk Research Interests: Her research focuses on: Advanced data analytics for materials characterization Machine learning in manufacturing systems Signal and image processing for industrial diagnostics Human-robot collaboration safety frameworks Cheminformatics and hyperspectral imaging Optimization of energy and process systems Publication Trends: Recent articles highlight integration of AI/ML with manufacturing (e.g., digital twins for human-robot collaboration), hyperspectral imaging innovations for materials science, and novel sensor applications in energy and chemical processes. Conference papers emphasize practical implementations of her research. Labs & Collaborations: Based in the Amy Johnson Building, she collaborates with researchers like L. Mihaylova, Y. Yan, and C. Rodenburg across multidisciplinary projects in manufacturing analytics and materials science.

• Robotics
• Machine Learning
• Tactile Sensing
• +۴ مورد دیگر

Yasemin Bekiroglu is an Associate Professor at Chalmers University of Technology in the Control Engineering department. Her research focuses on data-efficient learning from multisensory data for robotics applications. PhD from Royal Institute of Technology (KTH) in 2012 Her work spans Robotics , including Grasp Planning , Adaptive Control , and Gaussian Processes . Recent publications emphasize Tactile Sensing and Multisensory Integration . Key trends in her research include Motion Planning , Safe Trajectory Generation , and Implicit Surface Representation for robotic systems. She has served as a reviewer and Associate Editor for leading robotics conferences and journals. Best Paper Award at RAHA 2016 Best Manipulation Paper Award at ICRA 2013 IROS CoTeSys Cognitive Robotics Best Paper Finalist in 2013 Yasemin contributes to projects like Dexterous Robot Assistant , advancing everyday object manipulation technologies.

• Robotics
• Soft Robotics
• Additive Manufacturing
• +۶ مورد دیگر

Prof. Dr.-Ing. Annika Raatz serves as the Dean of the Faculty of Mechanical Engineering at Leibniz University Hannover and Executive Director of the Institute for Assembly Technology and Robotics. She leads task groups in advanced manufacturing and contributes to collaborative research centers CRC 1368 Oxygen-free Production CRC 871 Regeneration of Complex Capital Goods Her work bridges academia and industry through roles in the Leibniz School of Optics and Photonics , PhoenixD Cluster , and the German Research Foundation .

Tahira M. Probstمشاهده پروفایل

استاد

• Industrial/Organizational Psychology
• Occupational Health Psychology
• Workplace Safety
• +۵ مورد دیگر

Tahira M. Probst is a Professor in the Department of Psychology at Washington State University . She serves as Associate Director of the NSF NRT-LEAD program focusing on robotics and autonomous systems training. Her research spans 25 years in industrial/organizational psychology with emphasis on economic precarity, job insecurity, and workplace safety. Ph.D. from University of Illinois at Urbana-Champaign (1998) Co-investigator in international collaborations with University of Rome and University of Santiago, Chile Her research interests include: Technology-induced job insecurity and automation anxiety Cross-cultural responses to economic stressors Safety climate and accident underreporting Stereotype threat in pregnancy and marginalized professions Psychosocial risks in precarious employment Recent publications highlight multilevel analysis of job insecurity across: National corruption indices Organizational learning climates Industry-specific safety cultures Algorithmic management systems She founded the Coalition for Healthy and Equitable Workplaces (CHEW) Lab , where undergraduate and graduate students contribute to all stages of research from design to co-authorship. Lab alumni hold positions at University of Illinois , CUNY Baruch , and Swiss Federal Institute of Technology . Scientific recognition includes: 2015 Emerald Literati Network Award for Excellence Her work has been featured in 17+ international media outlets including Reuters , Science Daily , and Fortune magazine. Current research explores NSF-funded intersections between AI adoption and worker well-being.

Te Faye Yapمشاهده پروفایل

استادیار

• Soft manufacturing
• Soft matter
• Soft machines
• +۳ مورد دیگر

Te Faye Yap is an Assistant Professor in the Department of Mechanical Engineering at the University of Hawaii's College of Engineering. Her research focuses on soft manufacturing, soft matter, and additive manufacturing, with applications in soft robotics, wearable systems, and interfacial phenomena. She obtained her PhD in 2024 from Rice University. Research Interests: Soft machines and materials Temperature-dependent reaction kinetics Interfacial phenomena in manufacturing Publication Trends: Her recent work spans soft robotics (2022), contamination control (2023), and thermal curing processes (2024), emphasizing interdisciplinary approaches combining materials science, mechanical engineering, and biomedical applications. Contact Information: Office: POST 207G Phone: (808) 956-2370 Email: tfyap@hawaii.edu Research Website: SOMA Lab

Ryan L. Trubyمشاهده پروفایل

استادیار

• Soft Robotics
• Materials Science
• 3D Printing
• +۴ مورد دیگر

Ryan L. Truby is an Assistant Professor at Northwestern University in both the Department of Materials Science and Engineering and the Department of Mechanical Engineering. He leads the Robotic Matter Lab, focusing on advancing machine intelligence through material design for soft robotics and multifunctional systems. Northwestern University: 2021–Present Core Member, Center for Robotics and Biosystems Education Ph.D. in Applied Physics, Harvard University B.S. in Biomedical Engineering, University of Texas at Austin Postdoctoral Research, Massachusetts Institute of Technology Research Interests : Truby's work bridges soft robotics , multimaterial 3D printing , and bioinspired actuation . His lab develops materials with distributed sensorimotor capabilities, integrating machine learning-based control strategies and rheological characterization to create autonomous systems for healthcare and environmental applications. Scientific Awards DARPA Young Faculty Award (2023) CESR Seed Funding Award (2023) Air Force Young Investigator Research Program Award (2021) Contact : rtruby@northwestern.edu

James Armstrongمشاهده پروفایل

دانشیار

• Tissue Engineering
• Regenerative Medicine
• Organoids
• +۵ مورد دیگر

Dr. James Armstrong is an Associate Professor in Biomaterials and Tissue Engineering at the University of Bristol , affiliated with the Bristol Medical School (THS) . His research focuses on innovative biotechnologies for controlling the assembly of complex living systems, including organoids and tissue grafts, with applications in regenerative medicine and biomedical engineering. Research Interests: Tissue engineering, biomaterials, ultrasound-driven cell patterning, organoid development, bioimaging, and bioprinting. Students: Supervising PhD candidates in projects related to brain organoids, wound healing biomaterials, blood-brain barrier models, and machine learning for biomedical automation. Awards: 2019 President’s Medal for Excellence in Education; recipient of three consecutive fellowships (Arthritis Research UK, MRC/UKRI, UKRI Future Leaders). His group collaborates with institutions like Imperial College London, Tsinghua University, and Harvard’s Ingber Lab. He co-founded the spin-out company Impulsonics in 2023. Publications span Advanced Materials , Nature Communications , and Science Advances , with a focus on 3D/4D printing, smart hydrogels, and magnetic stem cell labeling.

• Composite Materials
• Nanocomposites
• 3D Printing and Additive Manufacturing
• +۶ مورد دیگر

Hamed Yazdani Nezhad is an Associate Professor at City, University of London, where he has been employed since 2020. Previously, he served as a Lecturer in Composite Engineering at Cranfield University's School of Aerospace, Transport and Manufacturing. His academic career focuses on advanced composite materials and manufacturing technologies. Dr. Yazdani Nezhad's research spans multiple areas of advanced materials science and engineering. His primary interests include: Composite materials and nanocomposites development 3D printing and additive manufacturing of multifunctional materials Smart materials with responsive properties to external stimuli Strain sensing and structural health monitoring systems Aerospace-grade composite materials and repair techniques Multifunctional polymer nanocomposites with electrical and thermal properties His recent publications demonstrate a strong focus on cutting-edge composite research, particularly in the areas of magnetic and electric field-responsive materials, 2D materials like MXenes and phosphorene, and sustainable approaches to composite manufacturing and recycling. His work often involves interdisciplinary collaborations with researchers across materials science, mechanical engineering, and electrical engineering fields. Dr. Yazdani Nezhad has been actively involved in peer review activities for numerous prestigious journals including Applied Composite Materials, Composites, Scientific Reports, and others, demonstrating his standing in the academic community. His research group, which appears to be connected to the Cranfield Multicomp Laboratory, focuses on developing innovative composite solutions for aerospace and other high-performance applications, with particular expertise in augmented reality-equipped composite monitoring and repair systems.

Aleix Costa Cornellàمشاهده پروفایل

پژوهشگر

• Materials Science
• Polymer Science
• Sustainable Materials Engineering
• +۵ مورد دیگر

Aleix Costa Cornellà is a postdoctoral researcher specializing in Materials Science and Sustainable Materials Engineering , based in Brussels, Belgium. His work focuses on the synthesis and application of self-healing polymers for robotics and sensor systems, with a particular emphasis on integrating dynamic covalent bonds to enhance material properties. Key collaborations include projects with European Commission funding (EU626: Soft, Self-responsive, Smart Materials for Robots) Active in international conferences such as BioRob and ICRA40 ORCID profile: 0000-0003-2804-5641 Research Interests: Aleix's work bridges fundamental polymer chemistry with applied robotics, developing materials that combine associative/dissociative dynamic covalent bonds for improved healing efficiency and mechanical stability. Current projects explore microwave heating activation and fused granulate fabrication methods. Publication Trends: Recent outputs (2022-2024) emphasize self-healing polymers for sustainable robotics, additive manufacturing techniques, and viscoelastic material optimization . Collaborative work with industrial partners appears in Advanced Materials and Additive Manufacturing journals. Awards: RSC Applied Polymers Oral Presentation Award (2024) Advising: Supervised two Master's theses on conductive inks and molecular architecture optimization for self-healing materials, co-advised with Guy Van Assche and Joost Brancart. Labs & Collaborations: Part of the Belgian Polymer Group and ICRA40 conference networks. Collaborates with researchers in polymer physics, biomedical robotics, and sustainable manufacturing.

Donatella Puglisiمشاهده پروفایل

دانشیار

• Smart sensor technologies
• Electronic noses
• Odor detection
• +۱۱ مورد دیگر

Donatella Puglisi is an Associate Professor (Docent) at Linköping University's Department of Physics, Chemistry and Biology within the Faculty of Science and Engineering. She leads the Sensor and Actuator Systems (SAS) research group and serves as International Steering Committee Member of EUROSENSORS and Co-founder of NORNDiP, the Nordic Network for Diversity in Physics. Her work bridges academia with industry, government, and civil society to address global challenges through sensor technology innovation. Dr. Puglisi's research focuses on smart sensor technologies, particularly electronic noses enhanced with machine learning for odor detection. Her work spans volatile organic compounds and air pollutants monitoring with applications in early cancer diagnostics, medical devices, forensic sciences, indoor air quality, environmental monitoring, food quality control, and cultural heritage preservation. She has developed innovative sensor-based devices and pioneered methods for precise molecular identification across diverse scientific domains. Her recent publications reveal a strong trend toward interdisciplinary applications of sensor technology, with particular emphasis on healthcare diagnostics (cancer detection through breath analysis), forensic applications (cadaver detection as alternative to dogs), food safety (meat inspection), and environmental monitoring (methane, indoor air quality). The integration of machine learning with sensor development appears as a consistent theme across her work, enabling more precise and adaptable detection systems. ÅForsk Entreprenör scholarship 2019 for entrepreneurial activities Dr. Puglisi has successfully led multiple significant research projects including HEADLINE – Health Diagnostics Electronic Nose (funded by NSF Convergence Accelerator), Preventive solutions for sensitive Materials of Cultural Heritage (H2020), and several ovarian cancer diagnostic projects funded by VINNOVA. She actively collaborates internationally, recently securing the first Swedish-U.S. collaboration under the NSF Convergence Accelerator program. Her educational approach emphasizes challenge-, project-, problem-, and Agile-based learning, with courses spanning leadership principles, sustainable development, and applied physics. She directs the Sensor and Actuator Systems (SAS) research group at Linköping University, which conducts multidisciplinary research spanning materials for sensors, systems integration, cell-free synthetic biology lab-on-a-chip detection, and soft robots. Her work has practical applications in medical diagnostics, forensic investigations, food safety, and environmental monitoring, with several projects transitioning toward commercialization.

Yanliang Zhangمشاهده پروفایل

استاد

• Thermal Science
• Thermal Energy Conversion
• Clean and Sustainable Energy Systems
• +۹ مورد دیگر

Yanliang Zhang is a Professor and the Advanced Materials and Manufacturing Collegiate Chair in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame's College of Engineering. He directs the Advanced Manufacturing for Energy and Health (AMEH) Lab, where he leads cutting-edge research at the intersection of advanced manufacturing, energy conversion, and healthcare sensing technologies. His educational background includes: Ph.D. in Mechanical Engineering from Rensselaer Polytechnic University (2011) M.S. in Mechanical Engineering from Southeast University, China (2008) B.S. in Mechanical Engineering from Southeast University, China (2005) Professor Zhang's research spans multiple domains with a focus on thermal science and energy conversion . His work centers on developing innovative manufacturing techniques for functional materials and devices, particularly in the areas of thermoelectrics, flexible electronics, and advanced sensing systems. The lab employs an "Atomic to System Engineering" approach to bridge fundamental research with practical applications. Key research thrusts include: Additive manufacturing and scalable nanomanufacturing of functional materials Thermal and thermoelectric energy conversion, harvesting, and storage Advanced sensors for extreme environments and healthcare monitoring Autonomous materials discovery through high-throughput combinatorial methods Analysis of Professor Zhang's recent publications (2024-2025) reveals a strong emphasis on aerosol jet printing , thermoelectric devices , and machine learning-assisted manufacturing . His work demonstrates a progression from fundamental materials research toward integrated systems for energy conversion and healthcare applications. A notable trend is the increasing integration of AI/ML techniques with advanced manufacturing processes to optimize device performance and enable autonomous fabrication. Professor Zhang has received significant recognition for his work, including: International Thermoelectric Society 2020 Young Investigator Award His research program is supported by prestigious funding from the U.S. Department of Energy, National Science Foundation, and industry partners. Professor Zhang actively mentors the next generation of engineers through his laboratory, which includes postdoctoral researchers, PhD students, and undergraduate researchers working on diverse projects spanning from fundamental materials science to applied device engineering. The Advanced Manufacturing for Energy and Health Lab maintains strong collaborative ties with industry and national laboratories, facilitating the translation of research discoveries into practical applications. Current research directions include bioprinting, autonomous manufacturing systems, and next-generation thermoelectric technologies for energy harvesting and cooling applications.

Michael I. Migaمشاهده پروفایل

استاد

• Image-guided surgery and intervention
• Computational modeling for therapeutic applications
• Soft-tissue mechanics
• +۹ مورد دیگر

Dr. Michael I. Miga is the Chair of the Department of Biomedical Engineering, Harvie Branscomb Professor, and Professor of Biomedical Engineering, Radiology and Radiological Sciences, Neurological Surgery, Otolaryngology, and Computer Science at Vanderbilt University. He serves as Director of the Vanderbilt Institute for Surgery and Engineering (VISE) and leads the Biomedical Modeling Laboratory. Dr. Miga joined Vanderbilt University in Spring 2001 and has established himself as a leader in computational approaches to surgical medicine. Dr. Miga's educational background includes: Ph.D. in Biomedical Engineering from Dartmouth College M.S. in Mechanical Engineering from the University of Rhode Island B.S. in Mechanical Engineering from the University of Rhode Island Dr. Miga's research focuses on bridging the gap between diagnostic imaging advancements and procedural medicine through innovative computational approaches. His work centers on complex biophysical models, methods of automation and procedural field surveillance, data-driven procedures, therapy forecasting, and disease information integration associated with digital twins. He pioneers platform technologies designed for the dual purpose of treatment and discovery in surgical and interventional settings, with particular emphasis on medical robotics, computer vision, and AI applications. Dr. Miga's recent publications reveal a consistent focus on image-guided surgery across multiple organ systems including brain, liver, breast, and kidney. His work addresses critical challenges in soft tissue deformation, intraoperative imaging, and computational modeling to enhance surgical precision. A significant portion of his research involves developing and validating model-based approaches for deformation correction in image-guided procedures, demonstrating strong translational potential across various surgical specialties. Dr. Miga's significant professional recognitions include: Induction into the American Institute for Medical and Biological Engineering College of Fellows (top 2% of medical and biological engineers) in 2014 Charter membership on the Biomedical Imaging Technology (BMIT-B) Study Section of the NIH Center for Scientific Review (2010-2014) Charter membership on the Bioengineering, Technology, and Surgical Sciences (BTSS) Study Section since 2017 As Principal Investigator on multiple NIH grants focused on image-guided brain, liver, kidney, and breast surgery, Dr. Miga maintains a robust research program. He serves as PI and Director of the NIH T32 training program 'Training Program for Innovative Engineering Research in Surgery and Intervention,' which emphasizes the creation of translational technologies for treatment and discovery. His laboratory provides a unique immersive educational environment that emphasizes clinical immersion as a primary focus for engineering researchers in surgery and intervention. Dr. Miga co-founded and directs the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary, trans-institutional entity designed to bring engineers and physicians together to impact healthcare. His Biomedical Modeling Laboratory focuses on three primary research thrusts: enhancing soft-tissue image guided surgery in multiple organs, developing model-driven interventional guidance for neoadjuvant chemotherapy, and creating model-enhanced ablative therapy delivery systems. His work represents a paradigm shift toward integrated, modular technologies that optimize therapy delivery through procedure-specific and patient-specific computational approaches.