Filter results

48177 results

Yenni Villa Acuña

Faculty of Civil Engineering and Geosciences Yenni completed her master’s degree in Applied Earth Sciences. Her thesis work is part of the IDEA-League Master Program and is done as an internship at Aramco Overseas Company BV in Delft. Minimisation and optimisation are at the heart of many challenges oil & gas companies face in structural imaging of the subsurface in oil & gas exploration. Many algorithms and ideas struggle to find robust solutions because of the scale and complexity of the subsurface. During a period of 5 months, Yenni created new ideas to make a general optimisation method significantly faster and more robust. She also demonstrated the applicability of the new method to a number of synthetic data sets that are well-known in the field of numerical optimization, as well as to seismic data processing algorithms that are used by many oil & gas companies. The quality of the results achieved are extraordinary. Yenni’s thesis was rewarded with an impressive 9.5 and her work has already been recognized as state of the art in current seismic processing software. “Yenny worked very independently on her thesis while taking the suggestions of her supervisors seriously. She managed to defended her thesis as good as perfectly. Besides her thesis work, she also did her course work very well, with excellent marks in all 3 high-standard European universities (ETH, TUD and RWTH).” Graduation committee - Dr G.G. Drijkoningen, Dr Yimin Sun, Dr Florian Wellman. Thesis synopsis Since its inception in 1975, Genetics Algorithms (GA) have been successfully used as a tool for global optimization of non-convex problems in several real world applications. Its creation was inspired by the neo-Darwinian theory of evolution, where the goal is to evolve an initial population of candidate solutions using the artificial operators of selection, crossover and mutation. An advanced Genetic Algorithm (aGA) was developed by AOC* to find the global maximum of n-th dimensional non-convex functions. However, as computational time is a key factor when it comes to scalability, the objective of this project is to improve the convergence speed of this currently available aGA by simultaneously enhancing both its global and its local search capabilities. To this end, two solutions were proposed. The first is a modified version of the well-known Island model GAs and the second is a Self-Adaptive Differential Evolution (SADE) fine tuning scheme. After a successful demonstration of its improved performance on multi-modal test functions, my enhanced Genetic Algorithm (eGA) is used to tackle two common non-linear Geophysical problems: static correction and Common Reflection Surface (CRS) stacking, where promising results were obtained. *AOC: Aramco Overseas Company

Rhythima Shinde

Faculty of Technology, Policy and Management Rhythima Shinde completed two master’s programmes: Engineering and Policy Analysis (EPA, with honours), including field work in India, and Computer Science, including a graduate project at ETH Zurich. Her career as an Honours student at Delft furthermore included an active board membership of the Energy Club, the publication of several journal papers and a book chapter, various student assistantships to support cybersecurity and open-data research, and the development of MOOCs. She also co-founded a start-up company ‘Energy Bazaar’, where she now puts her research findings and recommendations to immediate use. Rhythima graduated from MSc EPA on electrifying rural India through institutional innovation. Her thesis was rewarded with a grade 9.5. She executed empirical research in India and developed an institutional innovation framework to analyse her empirical findings, furthering Nobel prize winner Elinor Ostrom’s work. She built various agent-based computational models to verify her framework and then, through this framework and her models, she identified feasible and durable system designs and policy alternatives for electrifying rural India. She more than proved her mastery of all skills that make her a true Delft-trained policy analyst: providing computationally strong, empirically-sound engineering solutions for solving society’s critical issues. “Rhythima’s career in Delft is nothing short of impressive and she may be the ultimate example of a scientifically driven, intelligent, broadly-interested, entrepreneurial, socially responsible engineer, with a demonstrable impact on science and society.” Graduation committee – Prof. Paulien Herder, Dr Amineh Ghorbani, Dr Martijn Warnier Thesis synopsis Around 100 million households live without electricity in India. At the same time, there is a booming solar panel market in India. This gives an opportunity for escalating the reach through peer to peer (p2p) electricity exchange. The thesis explored the potential and challenges of this p2p solution with an extensive field study, development of theoretical framework to understand diffusion of emerging technologies considering community benefits (e.g. role of cooperative shops, etc.) and finally proposing socio-tech policies (e.g. hybrid microgrid-p2p solutions, anonymization of network) for making such projects a success for energy companies and consumers. The results of this thesis were successfully implemented in a computer science thesis to facilitate AI based optimization platform. The cumulative knowledge thus gained has lead to start-up 'Energy Bazaar' to implement the results in India. If implemented at scale, these solutions would accelerate complete household electrification of India by 2025.

Charlotte Koster

Faculty of Applied Sciences Charlotte obtained her master’s degree in Life Sciences & Technology. She chose to focus on the generation and analysis of industrially relevant yeast hybrids. She developed a fast and efficient method to generate new genetic variants of yeasts by ‘crossing’ parental strains with specific desired characteristics. The method that Charlotte designed, tested and optimized is highly relevant for industrial application. She applied this method to produce a new hybrid yeast that can be used in the beer brewing industry. Her thesis formed the basis for a patent application, on which she is one of the inventors. Charlotte received an impressive 9.5 for her thesis. Besides her excellent study achievements, she has also been an active member of the TU Delft student team that won a gold medal in the 2016 International Genetically Engineered Machine competition (iGEM). Another illustrative example of Charlotte’s drive to seek challenges is her internship performed at Ginkgo Bioworks, a high-profile Boston-based company active in the frontline of synthetic biotechnology. The top scientists who supervised Charlotte at Ginkgo awarded her a 9.5 for her internship. “During her graduation project, Charlotte was not only scientifically, but also socially a ‘pacemaker’, with a very positive impact on our research group. As evident from discussions in the lab and her activities on social media, she has an active interest in the societal impacts of science.” Graduation committee – Prof. Jack Pronk, Arthur Gorter de Vries, Dr Jean-Marc Daran, Dr Peter-Leon Hagedoorn Thesis synposis With ongoing climate change, we need to make our industrial processes more sustainable. In biotechnology, micro-organisms like yeast are used as ‘cell factories’ to produce products like biofuels, medicine and bioplastics in a sustainable way. However, this often requires genetic modification of the organisms, which is still a controversial issue. The use of hybrid yeasts can form a non-GMO alternative. Like some animals, different yeasts can mate with each other, forming hybrids that inherit qualities from each parent. For instance, mating a bioplastic-producing yeast with a plant-consuming yeast could result in a hybrid capable of making bioplastics from plant waste, without using genetic modification. However, such mating is rare, so hybrids are difficult to obtain. Therefore, I developed a method to obtain hybrid yeasts, based on color-coding and optical sorting of different yeasts, providing a promising approach to develop new non-genetically modified yeasts for the biotech industry.

Half Height Horizontal

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

A key solution to grid congestion

On behalf of the TU Delft PowerWeb Institute, researchers Kenneth Brunninx and Simon Tindemans are handing over a Position Paper to the Dutch Parliament on 14 November 2024, with a possible solution to the major grid capacity problems that are increasingly cropping up in the Netherlands. The Netherlands is unlikely to meet the 2030 climate targets, and one of the reasons for this is that large industry cannot switch to electricity fast enough, partly because of increasingly frequent problems around grid capacity and grid congestion. In all likelihood, those problems will actually increase this decade before they can decrease, the researchers argue. The solution offered by the TU Delft PowerWeb Institute researchers is the ‘flexible backstop’. With a flexible backstop, the current capacity of the power grid can be used more efficiently without sacrificing safety or reliability. A flexible backstop is a safety mechanism that automatically and quickly reduces the amount of electricity that an electric unit can draw from the grid (an electric charging station or a heat pump) or deliver (a PV installation). It is a small device connected or built into an electrical unit, such as a charging station or heat pump, that ‘communicates’ with the distribution network operator. In case of extreme stress on the network, the network operator sends a signal to the device to limit the amount of power. Germany recently introduced a similar system with electric charging stations. The backstop would be activated only in periods of acute congestion problems and could help prevent the last resort measure, which is cutting off electricity to users. ‘Upgrading the electricity network remains essential, but in practice it will take years. So there is a need for short-term solutions that can be integrated into long-term planning. We, the members of the TU Delft PowerWeb Institute, call on the government, network operators and regulator to explore the flexible backstop as an additional grid security measure,’ they said. The entire Paper can be read here . Kenneth Brunninx Associate Professor at the Faculty of Engineering, Governance and Management, where he uses quantitative models to evaluate energy policy and market design with the aim of reducing CO2 emissions. Simon Tindemans is Associate Professor in the Intelligent Electrical Power Grids group at Faculty of Electrical Engineering, Mathematics and Computer Science. His research interests include uncertainty and risk management for power grids. TU Delft PowerWeb Institute is a community of researchers who are investigating how to make renewable energy systems reliable, future proof and accessible to everyone.