جست‌وجوی استاد و پژوهشگر

• Tactile Sensors
• FPGA-Based Systems
• Robotics
• +۳ مورد دیگر

Óscar Oballe-Peinado is a professor at the Department of Electronics, School of Engineering, University of Málaga. His work focuses on tactile sensors, FPGA-based embedded systems, and robotics, particularly addressing crosstalk elimination, sensor calibration, and smart preprocessing techniques. He contributes to both academic research and educational innovations, including remote digital electronics laboratories. PhD in Electronics (University of Málaga, 2016) Active researcher in tactile sensor technology and FPGA implementations Supervisor of Raúl Lora Rivera's research on texture detection and compliance recognition His research explores advanced methods for tactile sensor optimization, including hysteresis correction, quantization error reduction, and compliance recognition algorithms. Recent publications (2023-2024) focus on smart tactile preprocessing and embedded FPGA implementations for robotics. The 2023-2024 articles emphasize his contributions to tactile sensor applications in robotic manipulation, texture detection, and compliance recognition using FPGA-based embedded systems. These works align with trends in smart sensor interfaces and real-time processing for robotics. Collaborated on improving remote digital electronics laboratories using Raspberry Pi 4 (2022) Developed FPGA-based tactile sensor suite electronics (2017)

• Digital Health Literacy
• Gerontechnology
• Technology Acceptance in Aging Populations
• +۳ مورد دیگر

Mario Jokisch is a Professor at the Faculty of Social Sciences and Health at Kempten University of Applied Sciences. He leads research initiatives at the Bavarian Center for Digital Care and Institute Management , focusing on digital literacy, eHealth services, and human-computer interaction in aging populations. His research spans Gerontechnology , Technology Acceptance Models , and Digital Inclusion Strategies . He has developed frameworks for assessing digital competence in elderly populations and investigates the psychological impacts of technology adoption in later life. Key article trends include eHealth literacy (2025), digital alienation theories (2024), and longitudinal studies of technology acceptance (2023-2022) Focus on ICT volunteering and digital competence frameworks for caregivers Examines rubber hand illusion applications in rehabilitation (2012)

Leonard Heiligمشاهده پروفایل

پژوهشگر

• Digital Twin Technology
• Maritime Logistics
• Blockchain Applications
• +۵ مورد دیگر

Dr. Leonard Heilig is a Researcher at the Institute of Information Systems within the University of Hamburg Business School at the University of Hamburg. His work focuses on integrating advanced technologies such as digital twins, blockchain, and cloud computing into maritime logistics and port operations. He is affiliated with the Von-Melle-Park 5 office in Hamburg and can be reached at leonard.heilig@uni-hamburg.de . He holds a Ph.D., though specific educational details are not provided in the text. His research interests include optimizing automated container terminals, reducing environmental emissions in ports, and enhancing enterprise architecture management through agile methodologies. He has contributed to frameworks for port-centric information management and inter-terminal truck routing, emphasizing real-time data utilization and sustainability. His recent publications highlight trends in digital twin applications for port operations, blockchain integration in maritime logistics, and cloud-based optimization solutions. While no scientific awards are explicitly listed, his work demonstrates significant contributions to smart port systems and digital transformation in logistics. He collaborates within the Institute of Information Systems team and has been involved in projects like port-IO , a mobile cloud platform for truck routing optimization. Grants and advising roles are not detailed in the provided texts.

Robin Rofallskiمشاهده پروفایل

پژوهشگر

• Optical 3D Metrology
• Underwater Photogrammetry
• Archaeological Wood Conservation
• +۳ مورد دیگر

Robin Rofallski is a researcher at the Institute for Applied Photogrammetry (IAPG), affiliated with Jade University in Oldenburg. His work focuses on optical 3D metrology and its applications in archaeological conservation , underwater imaging , and industrial measurement systems . He actively contributes to projects like OptiKons (3D monitoring of wet wood) and Digital Rubber Processing (automated production chain). Research Interests : 3D geometric analysis for conservation and industrial use Underwater photogrammetry and sensor fusion Dynamic fluid-structure interaction modeling Rolling shutter distortion correction in imaging Recent Trends : His publications emphasize real-time 3D measurement systems (2024) and underwater photogrammetry (2023), with collaborations at institutions like Lovion GmbH and Jade University. Projects like TurbuMetric (2018-2022) explore turbulent wind environments using 3D metrology. Projects & Collaborations : Lead role in OptiKons (2023-2025, funded by DBU) Subproject analysis in Digital Rubber Processing (2021-2024, BMBF-funded) Cooperation with Lovion GmbH and Jade University

• Continuum Mechanics
• Computational Mechanics
• Material Science
• +۷ مورد دیگر

Prof. Mikhail Itskov is a faculty member at the Faculty of Mechanical Engineering, RWTH Aachen University. His research focuses on continuum mechanics, computational material modeling, and multiscale analysis of hyperelastic and viscoelastic materials. He leads the Institute of Continuum Mechanics (KM) group, specializing in constitutive modeling, finite element methods, and machine learning applications in material science. Specializes in continuum mechanics, micromechanics, and computational modeling Active in machine learning-driven material discovery and multiscale simulations Key areas: hyperelasticity, porous media, textile composites, and damage mechanics Recent work includes symbolic regression for hyperelastic models, network-averaging theories, and neural network-based strain prediction. Publications span 2021–2025, emphasizing predictive modeling and experimental-computational synergy.

• Bioinformatics
• Plant Molecular Biology
• Genome Editing
• +۳ مورد دیگر

Dr. Juergen Gremmels serves as a Research Fellow and Programmer within the Infrastructure and Service Group's Bioinformatics unit at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany. His role combines software development expertise with scientific research support for plant molecular physiology projects, focusing on computational solutions for complex biological data management and analysis. His academic foundation includes a Chemistry degree from Karlsruhe Institute of Technology (1987-1995), followed by PhD studies at Universität Karlsruhe (1996-1997) and IVW GmbH Kaiserslautern (1997-2000). He completed his dissertation on polyurethane recycling methods in 2001 after specialized bioinformatics training at Softwareakademie Kaiserslautern (2001-2002), transitioning from materials science to computational biology. Gremmels' research demonstrates a distinct evolution from polymer chemistry to plant bioinformatics. His early work (1998-2001) pioneered hygrothermal degradation techniques for polyurethane recycling in epoxy resins and rubber composites. Current research (2010-2023) centers on developing bioinformatics infrastructure, including the AssemblX toolkit for multi-gene assembly, mobile phenotypic data systems, and contributions to mitochondrial genome editing in plants. This dual expertise enables unique cross-disciplinary approaches to sustainable materials and plant biotechnology. Publication analysis reveals two clear research phases: pre-2010 work focused on polymer modification and recycling mechanisms, while recent publications emphasize computational tools for plant genomics. Key themes include genome editing precision (2023), plastid translation mechanisms (2017), and data management systems for phenotypic analysis (2010-2015), reflecting his central role in developing research infrastructure for molecular plant physiology. No scientific awards or fellowships are documented in available sources. His professional trajectory shows consistent technical specialization without indication of student supervision or grant leadership. Current work remains anchored in the Infrastructure and Service Group where he develops and maintains critical bioinformatics systems supporting the institute's plant physiology research mission.

Michael Kaliskeمشاهده پروفایل

استاد

• Phase-field modeling
• Fracture mechanics
• Material point method
• +۷ مورد دیگر

Michael Kaliske is a full-time Professor at Technische Universität Wien , specializing in computational mechanics and material modeling. His research focuses on advanced numerical methods like phase-field modeling, material point method (MPM), and digital twin frameworks for civil, mechanical, and materials engineering applications. Research Interests: Phase-field approaches for fracture and fatigue analysis Micromechanical homogenization techniques Multiphysics modeling of concrete and geopolymer materials Digital twin systems for infrastructure and tire technology Recent Article Trends: His 2025 publications emphasize phase-field modeling of multi-material interactions (wood, concrete, tempered glass), AI integration for pavement diagnostics, and multiscale approaches for high-strain-rate concrete analysis. The 2024 works focus on snow mechanics, viscoelastic modeling, and numerical stabilization methods in MPM.