A5001956518- Innovative Teaching Methods
- Experimental Learning in Engineering
- Advanced Memory and Neural Computing
- Mobile Learning in Education
- Online and Blended Learning
- Ferroelectric and Negative Capacitance Devices
- QR Code Applications and Technologies
- Open Education and E-Learning
- Online Learning and Analytics
- Semiconductor materials and devices
- Multimedia Communication and Technology
- Neuroscience and Neural Engineering
- Machine Learning in Materials Science
- Ergonomics and Musculoskeletal Disorders
- Subtitles and Audiovisual Media
- Data Management and Algorithms
- Context-Aware Activity Recognition Systems
- Corporate Governance and Management
- Neural Networks and Reservoir Computing
- Physical Unclonable Functions (PUFs) and Hardware Security
- Musculoskeletal pain and rehabilitation
- Advancements in Solid Oxide Fuel Cells
- Health and Medical Studies
- Indoor and Outdoor Localization Technologies
- 3D IC and TSV technologies
Forschungszentrum Jülich
2022-2025
Premiere Global Services (United States)
2024
RWTH Aachen University
2024
Maersk (Denmark)
2021-2023
University of Southern Denmark
2021-2023
University of Mannheim
2012-2018
The development of efficient electrocatalysts in water electrolysis is essential to decrease the high overpotentials, especially at anode where oxygen evolution reaction (OER) takes place. However, establishing catalyst design rules find optimal a substantial challenge. Complex oxides, which are often considered as suitable OER catalysts, can exhibit vastly different conductivity values, making it challenging separate intrinsic catalytic activities from internal transport limitations. Here,...
Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM are considered an ideal substrate for computation storage future-generation neuromorphic platforms. These need to be evaluated fundamental reliability security issues. In this paper, we present \emph{NeuroHammer}, a threat ReRAM crossbars caused by thermal crosstalk between cells. We demonstrate that bit-flips can...
Emerging non-volatile memories (eNVM) promise to solve the imminent von Neumann bottleneck by enabling future computing systems utilize computing-in-memory (CIM) paradigm offering exceptional energy efficiency and performance advantages. As Moore's law becomes obsolete, CIM architectures are prominent candidates push boundaries of existing usher in a new generation models, such as neuromorphic systems. Furthermore, conventional face another significant problem addition bottleneck. Hardware...
Safety and ergonomics of Physical Human-Robot Collaboration (PHRC) are crucial to make human-robot collaborative systems trustworthy a significant impact in real-world applications. One big obstacle the development relevant research is lack general platform for evaluating safety proposed PHRC systems. This paper aims create emulatoR enabling safEty anD ergonomICs evaluation Training physical human-rObot collaboRation (PREDICTOR). PREDICTOR consists dual-arm robot system VR headset as its...
In this paper, we present a lightweight, media-supporting quiz application for mobile devices. The idea is to use the students' own smartphones as voting devices and provide administration module which integrated into existing university's e-learning platform. For establishing link between platform dynamically generated Quick Response (QR) codes. implemented web application, also providing of media content such pictures videos. We briefly evaluate our approach with respect usability students...
Abstract Memristive valence change memory (VCM) cells show a strong non‐linearity in the switching kinetics which is induced by temperature increase. In this respect, thermal crosstalk can be observed highly integrated crossbar arrays may impact resistance state of adjacent devices. Additionally, due to capacitance, VCM cell remain thermally active after pulse and thus influence conditions for possible subsequent pulse. By using finite element model array, it shown that spatio‐temporal...
Upcoming computing and market-ready storage technologies must not only become more powerful, but also energy-efficient to meet future challenges. A promising solution are BEOL-integrated RRAM arrays. Research is ongoing achieve ever higher device densities on smaller technology nodes. However, with shrinking feature size, thermal management becoming increasingly important, especially regard temperature-accelerated switching.In this work, a 3D electrothermal model of an 8x8 array based 40 nm...
Ergonomics of human workers is one the key elements in design and evaluation production processes. Human ergonomics have a major impact on productivity as well chronic health risks incurred by inappropriate working postures conditions. In this paper we propose novel method for estimating communicating ergonomic work condition called Binary Work-Condition Map , which provides visualized feedback about conditions different configurations an arm. The map binary nature derived imposing desired...
With the increasing proliferation of powerful mobile devices, use location-based services has gained noticeable momentum. However, new challenges arose with higher user mobility. Especially in context services, one these is problem selecting most suitable positioning technology. This paper gives a brief overview three common techniques used by today. We introduce various schemes on how to select system, based system's estimation error. The are thoroughly evaluated using an emulation...
Neuromorphic computing, inspired by the processing capabilities of brain, aims to overcome limitations conventional computing architectures.Valence change memory (VCM), along with other emerging resistive random access (ReRAM) devices, is a promising candidate for this endeavor due its features, including fast write times.Moreover, VCM devices are also suitable neuromorphic applications such as long-term potentiation (LTP), short-term (STP), and gradual switching.However, evaluating these...
The development of efficient electrocatalysts in water electrolysis is essential to decrease the high overpotentials especially at anode where oxygen evolution reaction (OER) takes place. However, establishing catalyst design rules find optimal a substantial challenge. Complex oxides, which are often considered as suitable OER catalysts, can exhibit vastly different conductivity values, making it challenging separate intrinsic catalytic activities from internal transport limitations. Here,...
Audience Response Systems (ARS) are quite common nowadays. With a very high smart phone availability among students, the usage of ARS within classroom settings has become easy. Together with trend for developing web applications, number implementations grew rapidly in recent years. Many these applications similar to each other, and fit into many learning scenarios like test questions, self-assessment audience feedback. But they mostly limited their original purpose. Using...