Card Overview

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.

James Gleeson: Branching processes as models of cascade dynamics on networks (Thursday)

James Gleeson: Branching processes as models of cascade dynamics on networks (Thursday) 16 December 2021 16:00 Network models may be applied to describe many complex systems, and in the era of online social networks the study of dynamics on networks is an important branch of computational social science. Cascade dynamics can occur when the state of a node is affected by the states of its neighbours in the network, for example when a Twitter user is inspired to retweet a message that she received from a user she follows, with one event (the retweet) potentially causing further events (retweets by followers of followers) in a chain reaction. In this talk I will review some mathematical models that can help us understand how social contagion (the spread of cultural fads and the viral diffusion of information) depends upon the structure of the social network and on the dynamics of human behaviour. Although the models are simple enough to allow for mathematical analysis, I will show examples where they can also provide good matches to empirical observations of cascades on social networks. James Gleeson Website University of Limerick

11/12 & 18/12 Christmas Workshops: making presents and decorations

Always wanted to analogue print and frame a picture, make some awesome Christmas ornaments, take your own crazy Christmas photo or crochet Christmas ornaments? During this elaborate weekend a wide variety of workshops will be offered to you. Choose the workshop that suits you best and make some nice presents or decorations!

New menu and takeaway

Starting today, you can enjoy a new menu with delicious December specials like fries & stew, flammkuchen with pumpkin and a different dutch mash pot every day! Also your favorites (like the Beet Me burger) are available again. When life gives you lemons... reintroduce the takeaway service! The corona measures have major consequences for the hospitality industry, and thus also for Cafe X. You are still very welcome, however, the COVID certificate and identification are mandatory and we close the doors at 17.00. The advantage of this is that the take-away is back in business. The full menu can be ordered from the Concept Store between 17:00 and 21:00. Ordering can also be done directly from your room via the online order form . Come taste it!

TPM AI Lab luncheon: the new DAI Labs

We would like to invite you to the next TPM AI Lab Luncheon that will take place on Tuesday, December 14th, 12:00–13:00. During this event, we will present the newest DAI labs with TPM partners.

Thesis defence A. Purwanto

Thesis defence A. Purwanto 10 December 2021 10:00 - Location: Aula, TU Delft Citizen Engagement with Open Government Data: A Model for Analyzing Factors Influencing Citizen Engagement. Promotor: Prof.dr.ir. M.F.W.H.A. Janssen (TBM); Copromotor: Dr. A.M.G. Zuiderwijk-van Eijk (TBM). More information? For access to theses by the PhD students you can have a look in TU Delft Repository , the digital storage of publications of TU Delft. Theses will be available within a few weeks after the actual thesis defence.

Successful first Annual Meeting of the Dutch Inverse Problems Community

At Thursday 26 and Friday 27 November the first Annual Meeting of the Dutch Inverse Problems Community was held at the Conference hotel “De Werelt”, magically situated in the forest around Lunteren (a village between Utrecht and Arnhem).
Scientist from various research groups at Dutch universities that are working on inverse problems were gathering, where TU Delft was represented by people from the geoscience, applied physics and applied mathematics departments.

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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.

James Gleeson: Branching processes as models of cascade dynamics on networks (Thursday)

James Gleeson: Branching processes as models of cascade dynamics on networks (Thursday) 16 December 2021 16:00 Network models may be applied to describe many complex systems, and in the era of online social networks the study of dynamics on networks is an important branch of computational social science. Cascade dynamics can occur when the state of a node is affected by the states of its neighbours in the network, for example when a Twitter user is inspired to retweet a message that she received from a user she follows, with one event (the retweet) potentially causing further events (retweets by followers of followers) in a chain reaction. In this talk I will review some mathematical models that can help us understand how social contagion (the spread of cultural fads and the viral diffusion of information) depends upon the structure of the social network and on the dynamics of human behaviour. Although the models are simple enough to allow for mathematical analysis, I will show examples where they can also provide good matches to empirical observations of cascades on social networks. James Gleeson Website University of Limerick

11/12 & 18/12 Christmas Workshops: making presents and decorations

Always wanted to analogue print and frame a picture, make some awesome Christmas ornaments, take your own crazy Christmas photo or crochet Christmas ornaments? During this elaborate weekend a wide variety of workshops will be offered to you. Choose the workshop that suits you best and make some nice presents or decorations!

New menu and takeaway

Starting today, you can enjoy a new menu with delicious December specials like fries & stew, flammkuchen with pumpkin and a different dutch mash pot every day! Also your favorites (like the Beet Me burger) are available again. When life gives you lemons... reintroduce the takeaway service! The corona measures have major consequences for the hospitality industry, and thus also for Cafe X. You are still very welcome, however, the COVID certificate and identification are mandatory and we close the doors at 17.00. The advantage of this is that the take-away is back in business. The full menu can be ordered from the Concept Store between 17:00 and 21:00. Ordering can also be done directly from your room via the online order form . Come taste it!

TPM AI Lab luncheon: the new DAI Labs

We would like to invite you to the next TPM AI Lab Luncheon that will take place on Tuesday, December 14th, 12:00–13:00. During this event, we will present the newest DAI labs with TPM partners.

Thesis defence A. Purwanto

Thesis defence A. Purwanto 10 December 2021 10:00 - Location: Aula, TU Delft Citizen Engagement with Open Government Data: A Model for Analyzing Factors Influencing Citizen Engagement. Promotor: Prof.dr.ir. M.F.W.H.A. Janssen (TBM); Copromotor: Dr. A.M.G. Zuiderwijk-van Eijk (TBM). More information? For access to theses by the PhD students you can have a look in TU Delft Repository , the digital storage of publications of TU Delft. Theses will be available within a few weeks after the actual thesis defence.

Successful first Annual Meeting of the Dutch Inverse Problems Community

At Thursday 26 and Friday 27 November the first Annual Meeting of the Dutch Inverse Problems Community was held at the Conference hotel “De Werelt”, magically situated in the forest around Lunteren (a village between Utrecht and Arnhem).
Scientist from various research groups at Dutch universities that are working on inverse problems were gathering, where TU Delft was represented by people from the geoscience, applied physics and applied mathematics departments.
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Moving the Closet

You simply cannot miss it, it is big and magenta: the Pink Closet . On 12 November 2024 the Pink Closet will head to the Main Hall of the TU Delft Library for the first time! The Pink Closet will take its place at the Nook, where it will feature as part of the Studium Generale programme on loneliness. More information on events that coincide with and incorporate the Pink Closet at TU Delft Library will soon be available on the website of Studium Generale .

Green ammonia remains a challenge, but researchers make significant progress

The production of ammonia, essential for fertiliser production, is responsible for almost 1.5% of global carbon emissions. This needs to be greener, which is why researchers have been looking for sustainable alternatives for years.

"Measuring brain activity through the skull with ultrasound opens new doors"

PhD Candidate Rick Waasdorp is looking for ways to correct the distortion caused by the skull when using Ultrasound technology. ‘’My goal is to develop an adaptive method for skull corrections that automatically measures the skull of new patients.’’

NWO funding for flexible power demand in electrically driven industry

NWO is funding two projects to explore ways to make the power demand of industry more flexible, allowing it to better align with future energy supplies. One of these projects, “DEFLAME,” is led by Machteld van den Broek from TU Delft.

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

The ENHANCE Diversity Seed Fund

Are you a student at TU Delft or another ENHANCE university with a passion for promoting diversity and inclusion? The ENHANCE Diversity Seed Fund is your chance to turn that passion into action. ENHANCE provides funding to support innovative, student-led projects that address key challenges related to inclusion and diversity within our academic communities. Key Details: Funding Available: Up to 1500 Euros per project in the 1st round! Eligibility: Students from ENHANCE member universities. Staff can also join student-led initiatives. Application Deadline: 8 January 2025. More information: Join the online Information Event on the 26 November 2024 16:00-17:00 CET on Zoom . More information: enhanceuniversity.eu/diversity/diversityseedfund/

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