Filter results

48203 results

Jacopo Zamboni

Faculty of Aeropace Engineering Jacopo obtained his master’s degree in Aerospace Engineering. For his thesis he developed a method for the conceptual design of hybrid electric aircraft. Society demands future aircraft to be more fuel-efficient to limit their negative impact on our climate and still warrant a sustainable growth of the aviation industry. Jacopo developed a design methodology based on fundamental theories of flight, electrical engineering, and aircraft design. He demonstrated the versatility of his method by designing various future aircraft relying on different hybrid-electric architectures. By performing a thorough validation of each of the subcomponents of the methodology, he convinced the graduation committee of the validity of his results. Furthermore, Jacopo outlined three distinctive paths forward for hybrid-electric propulsion, with overall reductions in energy consumption ranging between 6% and 35% for the most conservative and most progressive technology assumptions, respectively. Jacopo received a 9 for his thesis and will present the contents of his work on the international AIAA SCITECH conference. “Jacopo is an excellent student with a deep passion for aviation and aircraft design in particular. His thesis is original, scientifically sound and very relevant with respect to developments within society” Graduation committee – Dr R. Vos, Prof. L. L. M. Veldhuis, P. C. Roling MSc, R. de Vries MSc Thesis synposis As the aviation sector keeps expanding, a growing interest in technologies that can reduce the dependency from non-renewable energy sources, both for economic and environmental reasons, has led researchers to investigate the opportunities offered by the electrification of flight. However, fully electric designs are not viable in the foreseeable future, as the performance characteristics of the electric devices are still not comparable with the achievements of fuel-burning propulsive systems. A proposed solution is to electrify only a fraction of the aircraft system while the technology maturity level is still advancing. The use of two energy sources opens the design space and allows for the experimentation with novel aircraft configurations that could lead to interesting energy consumption reductions. However, established methods for aircraft design become obsolete as the required complex configurations and control strategies cannot be modelled. Therefore, the objective of this project was the development of a conceptual design procedure that can be applied to size and analyse any hybrid electric architecture that remains simple enough to be usable at the start of the design.

Guillermo Ortiz Jiménez

Faculty of Electrical Engineering, Mathematics & Computer Science Guillermo obtained his master’s degree in Electrical Engineering. He chose a graduation project in the field of signal processing. He first dived into the topic of deep learning, a machine learning technique that teaches computers to learn by example. He examined whether he could extend classical deep learning techniques, meant to classify audio signals or images, to techniques useful for classifying signals supported by an irregular structure. Such learning methods can be used to classify complicated non-structured data such as measurements from body sensors. Guillermo managed to quickly develop a graph-convolutional deep network structure, which successfully classified the irregular signals. Guillermo also tackled the topic of sparse sensing, a technique to reduce the number of sensors in a sensing system. He established a complete sparse sensing framework. His work can, for example, help movie recommender systems (such as Netflix) to pick movies and users in a clever way to predict all preferences. Guillermo is the first to introduce such a framework and his work is truly ground-breaking. A conference paper has already been accepted for one of the main conferences of the IEEE Signal Processing Society. His thesis was rewarded with the highest possible grade (10). “With Guillermo you can always have very mature discussions and brainstorming sessions with interesting outcomes. He is one of the best MSc students I ever met.” Graduation committee - Prof. GJ.T. Leus, Dr S.P. Chepuri, Dr R. Hendriks, Dr D. Tax Thesis synposis In this new era of data science, Machine Learning (ML) and Signal Processing (SP) are becoming the key driving forces of the fourth industrial revolution. They are paving the way for the genesis of new disruptive applications across many fields, ranging from the biomedical sciences to the ICT and manufacturing industries. Most of the tools in ML and SP, however, can only be applied to signals residing on a regular grid, e.g. audio and image signals. In my thesis, hence, I extended these tools to signals that lie on irregular domains with a graph structure, e.g. traffic networks, 3D meshes, or social network graphs. In particular, I developed two mathematical frameworks: one for the classification of graph signals using tools from deep learning and one for their sampling. The applications of my thesis are diverse varying from brain signal decoding (classification) to the automatic recommendation of items in e-commerce (sampling).

Eleni Chronopoulou

Faculty of Architecture and the Built Environment Eleni completed her master’s degree Architecture, Urbanism and Building Science in the summer of 2018. Her thesis explores how landscape architecture has the capacity to work as an integrative common ground, bringing together conflicting notions such as natural and engineered, formal and informal, concept and reality, process and form, the designed landscape and the practices of everyday life. Eleni researched the landscape of Kifissos, a heavily abused river area in Athens, Greece. This area has become part of the city’s infrastructural network, functioning as a highway and a sewage collector. The once natural dynamic river banks are now replaced with strict concrete boundaries, expressing a conceived necessity to dominate nature. Eleni describes the case of Kifissos as oppositions of uncontrolled dynamic natural processes and an over-controlled landscape. The oppositions are addressed in her graduation work through an alternative reading of the existing landscape sustained by theory, in search for latent conditions of coexistence. Extracted from their habitual settings, Eleni translated these conditions into design concepts. This combination has resulted in a flexible landscape architectural framework that integrates social, environmental, and technical aspects. Her thesis was rewarded with the highest possible grade (10). “Eleni’s thesis is an outstanding contribution to the discipline of landscape architecture, combining theory and design in a clever innovative way.” Graduation committee – Dr Inge Bobbink, Dr Esther Gramsbergen, Alexander de Ridder MSc Thesis synopsis Kifissos is an abused urban river in Athens: a heavily polluted landscape suffering from deadly flood events that have been escalating together with the city’s growth. The river’s containment within concrete boundaries reflects a conceived necessity to over-control unpredictable natural dynamics, reflecting an opposition between man and nature. Furthermore, the unnegotiable linearity of the river results in one more division: between rich, formally designed neighbourhoods and poor districts which have grown informally, outside the control of urban plans. To address these oppositions, the design starts from an excavation on the existing site, investigating the common grounds between conflicting notions: between natural and engineered, formal and informal, the designed landscape and the practices of everyday life. The extracted conditions of coexistence are translated into design tools able to incorporate social, environmental, and technical aspects closely related to the realities of the existing milieu.

Half Height Horizontal

TU Delft jointly wins XPRIZE Rainforest drone competition in Brazil

TU Delft jointly wins in the XPRIZE Rainforest competition in the Amazon, Brazil Imagine using rapid and autonomous robot technology for research into the green and humid lungs of our planet; our global rainforests. Drones that autonomously deploy eDNA samplers and canopy rafts uncover the rich biodiversity of these complex ecosystems while revealing the effects of human activity on nature and climate change. On November 15, 2024, after five years of intensive research and competition, the ETHBiodivX team, which included TU Delft Aerospace researchers Salua Hamaza and Georg Strunck, achieved an outstanding milestone: winning the XPRIZE Rainforest Bonus Prize for outstanding effort in co-developing inclusive technology for nature conservation. The goal: create automated technology and methods to gain near real-time insights about biodiversity – providing necessary data that can inform conservation action and policy, support sustainable bioeconomies, and empower Indigenous Peoples and local communities who are the primary protectors and knowledge holders of the planet’s tropical rainforests. The ETHBiodivX team, made of experts in Robotics, eDNA, and Data Insights, is tackling the massive challenge of automating and streamlining the way we monitor ecosystems. Leading the Robotics division, a collaboration between TU Delft’s Prof. Salua Hamaza, ETH Zurich’s Prof. Stefano Mintchev and Aarhus University’s Profs. Claus Melvad and Toke Thomas Høye, is developing cutting-edge robotic solutions to gather ecology and biology data autonomously. “We faced the immense challenge of deploying robots in the wild -- and not just any outdoor environment but one of the most demanding and uncharted: the wet rainforests. This required extraordinary efforts to ensure robustness and reliability, pushing the boundaries of what the hardware could achieve for autonomous data collection of images, sounds, and eDNA, in the Amazon” says prof. Hamaza. “Ultimately, this technology will be available to Indigenous communities as a tool to better understand the forest's ongoing changes in biodiversity, which provide essential resources as food and shelter to the locals.” . . . .

Students Amos Yusuf, Mick Dam & Bas Brouwer winners of Mekel Prize 2024

Master students Amos Yusuf, from the ME faculty (Mick Dam, from the EEMCS faculty and graduate Bas Brouwer have won the Mekel Prize 2024 for the best extra scientific activity at TU Delft: the development of an initiative that brings master students into the classroom teaching sciences to the younger generations. The prize was ceremonially awarded by prof Tim van den Hagen on 13 November after the Van Hasselt Lecture at the Prinsenhof, Delft. They received a statue of Professor Jan Mekel and 1.500,- to spend on their project. Insights into climate change are being openly doubted. Funding for important educational efforts and research are being withdrawn. Short clips – so called “reels” – on Youtube and TikTok threaten to simplify complex political and social problems. AI fakes befuddle what is true and what is not. The voices of science that contribute to those discussion with modesty, careful argument and scepticism, are drowned in noise. This poses a threat for universities like TU Delft, who strive to increase student numbers, who benefit from diverse student populations and aim to pass on their knowledge and scientific virtues to the next generation. It is, therefore, alarming that student enrolments to Bachelor and Master Programs at TU Delft have declined in the past year. Students in front of the class The project is aimed to make the sciences more appealing to the next generation. They have identified the problem that students tend miss out on the opportunity of entering a higher education trajectory in the Beta sciences – because they have a wrong picture of such education. In their mind, they depict it as boring and dry. In his pilot lecture at the Stanislas VMBO in Delft, Amos Yusuf has successfully challenged this image. He shared his enthusiasm for the field of robotics and presented himself as a positive role model to the pupils. And in return the excitement of the high school students is palpable in the videos and pictures from the day. The spark of science fills their eyes. Bas Brouwer Mick Dam are the founders of NUVO – the platform that facilitates the engagement of Master Students in high school education in Delft Their efforts offer TU Delft Master Students a valuable learning moment: By sharing insights from their fields with pupils at high school in an educational setting, our students can find identify their own misunderstandings of their subject, learn to speak in front of non-scientific audiences and peak into education as a work field they themselves might not have considered. An extraordinary commitment According to the Mekel jury, the project scored well on all the criteria (risk mitigation, inclusiveness, transparency and societal relevance). However, it was the extraordinary commitment of Amos who was fully immersed during his Master Project and the efforts of Brouwer and Dam that brought together teaching and research which is integral to academic culture that made the project stand out. About the Mekel Prize The Mekel Prize will be awarded to the most socially responsible research project or extra-scientific activity (e.g. founding of an NGO or organization, an initiative or realization of an event or other impactful project) by an employee or group of employees of TU Delft – projects that showcase in an outstanding fashion that they have been committed from the beginning to relevant moral and societal values and have been aware of and tried to mitigate as much as possible in innovative ways the risks involved in their research. The award recognizes such efforts and wants to encourage the responsible development of science and technology at TU Delft in the future. For furthermore information About the project: https://www.de-nuvo.nl/video-robotica-pilot/ About the Mekel Prize: https://www.tudelft.nl/en/tpm/our-faculty/departments/values-technology-and-innovation/sections/ethics-philosophy-of-technology/mekel-prize

New catheter technology promises safer and more efficient treatment of blood vessels

Each year, more than 200 million catheters are used worldwide to treat vascular diseases, including heart disease and artery stenosis. When navigating into blood vessels, friction between the catheter and the vessel wall can cause major complications. With a new innovative catheter technology, Mostafa Atalla and colleagues can change the friction from having grip to completely slippery with the flick of a switch. Their design improves the safety and efficiency of endovascular procedures. The findings have been published in IEEE. Catheter with variable friction The prototype of the new catheter features advanced friction control modules to precisely control the friction between the catheter and the vessel wall. The friction is modulated via ultrasonic vibrations, which overpressure the thin fluid layer. This innovative variable friction technology makes it possible to switch between low friction for smooth navigation through the vessel and high friction for optimal stability during the procedure. In a proof-of-concept, Atalla and his team show that the prototype significantly reduces friction, averaging 60% on rigid surfaces and 11% on soft surfaces. Experiments on animal aortic tissue confirm the promising results of this technology and its potential for medical applications. Fully assembled catheters The researchers tested the prototype during friction experiments on different tissue types. They are also investigating how the technology can be applied to other procedures, such as bowel interventions. More information Publicatie DOI : 10.1109/TMRB.2024.3464672 Toward Variable-Friction Catheters Using Ultrasonic Lubrication | IEEE Journals & Magazine | IEEE Xplore Mostafa Atalla: m.a.a.atalla@tudelft.nl Aimee Sakes: a.sakes@tudelft.nl Michaël Wiertlewski: m.wiertlewski@tudelft.nl Would you like to know more and/or attend a demonstration of the prototype please contact me: Fien Bosman, press officer Health TU Delft: f.j.bosman@tudelft.nl/ 0624953733