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Education Courses 2024/2025 Tensor networks for green AI and signal processing | EE4750 Filtering & Identification | SC42025 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 2023/2024 Tensor networks for green AI and signal processing | EE4750 Filtering & Identification | SC42025 Signal Processing | EE2S31 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 2022/2023 Tensor networks for green AI and signal processing | EE4750 Filtering & Identification | SC42025 Signal Processing | EE2S31 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 2021/2022 Filtering & Identification | SC42025 Signal Processing | EE2S31 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 2020/2021 Filtering & Identification | SC42025 Signal Processing | EE2S31 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 2019/2020 Filtering & Identification | SC42025 Signal Processing | EE2S31 Applied Convex Optimization | EE4530 Systeem- en Regeltechniek | WB3240 Master projects Openings Master thesis project openings related to tensor-based biomedical signal processing will be posted at the website of B. Hunyadi at the Circuits and Systems group. Ongoing EEG signal processing for Biomarkers From Auditory Event-Related Potentials, B. Hunyadi, Joos Vrijdag (2023/2024) Automated sleep staging using a smartwatch, B. Hunyadi, Lieke Roelofs (2023/2024) Energy-efficient seizure detection for wearable EEG, B. Hunyadi, Beatriz Lafuente Alcazar (2023/2024) compressed sensing of multi-dimensional data with tensors, K. Batselier, Aron Bevelander (2023/2024) Online learning of tensor-based kernel machines, K. Batselier, Daniel Salgado Varela (2023/2024) tensor-based Green AI for Robotics, K. Batselier, Demi Breen (2023/2024) tensor compressed models for efficient vision in robotics tasks, K. Batselier, Christian Vorage (2023/2024) Tensor based kernel machines for EEG classification, K. Batselier, Mees van Dijk (2023/2024) Contactless Vital Parameter Estimation, B. Hunyadi, Cheremy Pongajow (2022/2023) Finished Uncertainty quantification for tensor network constrained kernel machines , K. Batselier, Rutger Smeenk (2023/2024) Nonnegative Robust PCA for Background and Foreground Image Decomposition , K. Batselier, Chenyang Ling (2019/2020) Recursive Tensor Network Bayesian Learning of Large-Scale LS-SVMs , K. Batselier, Maximilian Lucassen (2019/2020) Tensor Network B-splines for high-dimensional function approximation , K. Batselier, Ridvan Karagoz (2019/2020) Investigating brain function and anatomy through ICA-based functional ultrasound imaging , B. Hunyadi, Mado Ntekouli (2019/2020) Batch Bayesian Learning of Large-Scale LS-SVMs Based on Low-rank Tensor Networks , K. Batselier, Chenxu Wang (2020/2021) Non-Linear Bayesian System Identification of Cortical Responses Using Volterra Series , K. Batselier, Mike de Pont (2020/2021) Tensor-Networked Square-Root Kalman Filter for Online Video Completion , K. Batselier, Pieter van Klaveren (2020/2021) Decomposition , K. Batselier, Bram van Koppen (2021/2022) Symmetric Canonical Polyadic Decomposition And Gauss-Newton Optimizer For Nonlinear Volterra System Identification , K. Batselier, Zhehan Li (2021/2022) Analyzing Functional Ultrasound Images of the Brain Using Tensor Decompositions , B. Hunyadi, Arda Kaygan (2021/2022) Investigation of focal epilepsy using grapgh signal processing , B. Hunyadi, Gaia Zin (2021/2022) Differentiating Task-Based Functional Ultrasound Signals via Data-Driven Decompositions , B. Hunyadi, Maarten Enthoven (2021/2022) Graph Regularized Tensor Decomposition for Recommender Systems , K. Batselier, Rohan Chandrashekar (2022/2023) Compression of the embedding layer in an LSTM model using tensor train decomposition for NLP , K. Batselier, Aravind Jonnalagadda (2022/2023) All-at-once optimization for kernel machines with canonical polyadic decompositions , K. Batselier, Ewoud van Mourik (2022/2023) Tensor-based independent component analysis , K. Batselier, Pierre Antoine Denarie (2022/2023) Analyzing dynamic functional connectivity using state-space models on mice fUS data , B. Hunyadi, Ruben Wijnands (2022/2023) Frequency-domain estimation of the fUS hemodynamic response , B. Hunyadi, Yitong Tao (2022/2023) IMU-based adaptive filtering for movement artifact removal from ecg recorded with a single lead wearable device , B. Hunyadi, Cesar Cornejo Ramirez (2022/2023) Energy-efficient seizure detection for wearable EEG , B. Hunyadi, Xiaoning Shi (2022/2023) Machine Learning of Ultrasound Data: Cardiovascular Parameters Detection Using Carotid Artery Measurements , B. Hunyadi, Zhuangzhuang Yu (2022/2023) Comparative analysis of clutter filtering techniques on freehand micro-Doppler ultrasound imaging , B. Hunyadi, Xuan Gao (2022/2023) Using Tensor Decompositions To Obtain Biomarkers From Auditory Event-Related Potentials , B. Hunyadi, Kenneth Stunnenberg (2022/2023)

Fieldlab

Do IoT Fieldlab linkedin Do IoT Fieldlab drives the acceleration of innovation in the field of Internet of Things (IoT). The latest generation of mobile communication (currently 5G) offers a great opportunity for the large-scale introduction of the Internet of Things. The fast connections, high reliability and short response times of 5G make it possible to bring new applications to the market in the areas of mobility, logistics, agriculture, health and safety. The Fieldlab supports the development of these new applications. In short: Groundbreaking Internet of Things for a better society. What we do Do IoT Fieldlab accelerates IoT innovations by facilitating groundbreaking research, by bringing the right parties together for innovation questions, and by supporting companies in the realisation of new and better products and services. We initiate and stimulate intensive collaboration between science, industry and government. In doing this, the Fieldlab supports the social ambitions for a more sustainable, healthier and safer society and contributes to economic growth in the Netherlands. What we are Do IoT Fieldlab is the one-stop shop where companies, municipalities and other public or private organisations can come with questions about research and innovation in mobile communication technology and IoT. Do IoT Fieldlab is part of an extensive network of knowledge, experience and contacts and has the expertise to advise and guide in the development and upscaling of innovations. The Fieldlab is therefore excellently equipped to aid companies in taking the next step in the development of their products or services. Do IoT Fieldlab offers companies the opportunity to test their IoT innovations in a "low-regulation" environment. They can make use of the state-of-the art physical and digital communication infrastructure that is built for research and innovation in IoT. We work closely with the Delft on Internet of Things consortium of the TU Delft , other experts, entrepreneurs and policymakers in the public and private sector. EFRO/ERDF project In the coming period Do IoT Fieldlab will be further developed. With the help of a financial contribution from the European Regional Development Fund (ERDF), we can start building our ICT infrastructure based entirely on 5G technology that is also operator neutral. Two test sites will be set up, where this ultra-modern experimental communication infrastructure can be used; at The Green Village and Unmanned Valley. These are both "low-regulation" test sites, which makes it possible to quickly develop innovations in the field of 5G and the Internet of Things. In addition, a mobile test setup is being built that can be used for on-site testing. Another important part of the Do IoT Fieldlab is a data platform for the secure collection and sharing of generated sensor data in the various test setups and projects. As part of the ERDF project, six pilot projects with involved SMEs and other organisations are being carried out to stimulate innovations in IoT in the themes of mobility, logistics, smart manufacturing, safety, health and smart cities. In addition to the pilot projects, a SME scheme is being set up and implemented by Innovation Quarter in collaboration with the province of South Holland, to stimulate and strengthen innovation in the region. This gives SMEs the opportunity to develop and test new products at the Do IoT Fieldlab. Companies are likely to be able to make use of this scheme from the autumn of 2020. In this project the TU Delft works closely together with TNO, SURF, MCS, BTG, The Green Village, Unmanned Valley, Robovalley and Mobility Innovation Center Delft The EFRO/EFRD Ambition Our ambition is to become the prime innovation centre in the field of IoT. The collaborating partners have the objective to stimulate the economy by means of a targeted innovation impulse, in the form of a regional knowledge and innovation centre. In the implementation period of this three-year project, approximately thirty SME projects will be supported by the Do IoT Fieldlab, with numerous new IoT products and services expected to reach the market. In addition, events and workshops will be held to share knowledge with the partners and interested parties involved and to expand the network. The projects and activities that will take place in the coming years will lead to growth in employment and business in the form of new start-ups and scale-ups. This way we continue to expand our knowledge, expertise and network. Connect Do IoT Fieldlab is an open innovation platform where parties can connect and collaborate. Together we innovate in the Internet of Things for a more sustainable, safer and healthier society. Interested? Contact us or follow us on LinkedIn and Twitter! Founding partners EFRO/ERDF partners Share this page: Facebook Linkedin Twitter Email WhatsApp Share this page

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Three Students Nominated for the ECHO award

Three TU Delft students have been nominated for the ECHO Award 2024. The ECHO award is awarded to students with a non-western background who are actively engaged in society. Sibel, TJ and Pravesha talk about their background their nomination. The finalists will be selected on September 27th. Sibel Gökbekir How has your background influenced your academic journey? As a woman with Turkish roots, my academic journey has been about more than just pursuing degrees in engineering and law; it’s been about consistently advocating for the diverse needs of women and multicultural groups, ensuring their voices are heard in important decisions. This is why I actively contributed to different board positions at TU Delft, working to promote inclusivity and equality. My background inspired me to explore how engineering, law, and social justice intersect, particularly in empowering marginalised communities. I chose to study energy transitions and human rights to contribute to a fairer, more inclusive World. How have you turned this into contributions to society? I’ve dedicated my academic and personal life to promoting diversity and inclusion. As a youth ambassador for Stop Street Harassment, I aimed to create safer spaces for women and minorities because I believe everyone has the right to feel free and safe in society. Through the Turkish Golden Tulip Foundation, I advocated for vulnerable communities in earthquake relief. Additionally, I founded an initiative for migrant students in Rotterdam-South and I have been committed to improving educational opportunities for secondary school students with a migration background. Next, I gave guest lectures across the Netherlands to educate the younger generation about climate change and equitable energy transitions, emphasising the importance of a fair transition for all communities. What does it mean for you to nominated to the ECHO award? I feel very honoured to have been nominated on behalf of TU Delft. My commitment to community engagement is part of who I am, and therefore the ECHO Award is more than just a recognition; It offers me an opportunity to further expand my contributions to a more inclusive society. As an ECHO Ambassador, I plan to expand my efforts in promoting equality and sustainability, while inspiring others to take action for a more equitable World. TJ Rivera How has your background influenced your academic journey? My background as a Filipino in a Dutch-speaking bachelor’s programme made my academic journey both challenging and enriching. Being gay in a male-dominated field like Architecture, where most role models were heteronormative men, added another layer of difficulty. It was intimidating to not see people like me represented. However, this experience fuelled my belief that systems can and should be challenged, changed, and updated. I aimed to bring a fresh perspective, advocating for greater diversity and inclusivity in the field. How have you turned this into contributions to society? I translated my personal challenges into tangible contributions by advocating for inclusivity within architecture. Together with like-minded individuals, I began exploring the intersection of identity, sexuality, and architecture, and collaborated with my faculty’s diversity team to raise awareness. As I became known for my work with the queer community, I saw an opportunity to create lasting change. I co-revived ARGUS, the once-inactive study association for the Master of Architecture, which now serves as a platform to discuss and address issues of diversity within the field. This initiative continues to foster a more inclusive academic environment. What does it mean for you to be nominated to the Echo award? Being nominated for the ECHO Award is a significant milestone in my journey to expand my mission beyond the confines of my faculty. This national platform provides the opportunity to raise awareness and advocate for social justice on a larger scale. I believe students are key to driving change, and my focus is on amplifying the voices of the queer community, which is often overlooked. The ECHO Award will enable me to form partnerships with organizations and universities, further promoting diversity, inclusivity, and equality. It’s a chance to create broader, tangible change, addressing the needs of those who often go unheard. Pravesha Ramsundersingh How has your background influenced your academic journey? As a woman in STEM (Science, Technology, Engineering, and Mathematics), my background has been a powerful motivator to challenge gender disparities within Computer Science. Experiencing firsthand the underrepresentation of women in this field, I have been driven to not only excel academically but also become an advocate for diversity. Through leadership roles in the Faculty and Central Student Councils, I’ve focused on creating an inclusive environment that supports women and minority students, ensuring that everyone has the opportunity to succeed. How have you turned this into contributions to society? I’ve translated my experiences into actionable contributions by actively advocating for DEI at TU Delft. I ensured sexual education and consent training for 3,000 freshmen students, and I led initiatives like the Social Safety Initiatives Conference alongside the Dutch National Coordinator against Racism and Discrimination. In my student governance roles, I pushed for policies that address gender discrimination and social safety concerns, creating a more supportive environment for students of all backgrounds to thrive in both academic and social spaces. What does it mean for you to nominated to the ECHO award? Being nominated for the ECHO Award is an incredible honour that highlights the importance of the work I have done to promote DEI. It inspires me to continue advocating for systemic change in the tech industry and academia. This nomination reaffirms my commitment to driving equity in STEM, ensuring that future generations have more inclusive opportunities. It also motivates me to keep pushing boundaries and empower others to take action for a more just and equal society. The ECHO Award Every year ECHO, Center for Diversity Policy, invites colleges and universities to nominate socially active students who make a difference in the field of Diversity & Inclusion for the ECHO Award 2024. The ECHO Award calls attention to the specific experiences that students with a non-Western background* carry with them and the way they manage to turn these experiences into a constructive contribution to society. Winners are selected by an independent jury and may attend a full-service Summercourse at UCLA in the United States in 2025. Read more: ECHO Award - ECHO (echo-net.nl)

NWO grants funding for innovative research on physical experimental environments

How to move from experiment to mainstream? A consortium led by professor Tamara Metze, has been awarded a prestigious grant from the Netherlands Organisation for Scientific Research (NWO). In search for pathways toward more sustainable futures, Metze and her team will explore how various innovations in field labs such as The Green Village, in urban living labs such as Engy Lab South-East in Amsterdam, and in all sorts of citizens’ initiatives, can be mainstreamed and make more impact on sustainability transitions. Pilot paradox The project ‘From EXperiment to sustainable change: TRAnsformative methodologies for Innovation and learning’ (EXTRA) seeks to overcome a persistent “pilot paradox”. In this paradox, much experimentation takes place but long-term systemic impact remains difficult. Researchers together with all sorts of change makers will synthesise existing knowledge on how to mainstream, upscale, spread, broaden and deepen developed innovations. Tamara Metze: ‘I am excited to unravel what are effective ways of cocreation that lead to mainstreaming the positive changes made in experimental environments. We will figure out how learning and innovation can lead to lasting changes in regulations, policies, and financial systems and the biophysical environment.’ Tamara Metze Read the NWO press release Actionable tools The project is crucial for accelerating sustainability transitions. By refining methodologies for mission-driven experimentation and develop hands on tools for all sorts of change-makers, it will be easier to mainstream the sustainable lessons and innovations. ‘These tools will not only aid grassroots innovators but also influence institutional and organisational structures, ensuring that lessons learned from experiments are better anchored in policies, regulations, and organisations’, explains Metze. The project will employ a transdisciplinary action research approach, bringing together knowledge from various disciplines and policy domains. By co-creating solutions with public and private partners, the research will have an immediate impact. In the long term, the project aims to build a more efficient innovation ecosystem, contributing to more impactful and sustainable outcomes for both society and the environment. Projectpartners TU Delft, VU Amsterdam, Wageningen University & Research, Hogeschool van Amsterdam, Erasmus Universiteit Rotterdam, Hogeschool Rotterdam, The Green Village, AMS Institute; PBL Planbureau voor de Leefomgeving, WoonFriesland, Dijkstra Draisma, Provincie Noord-Holland, Ministerie van Binnenlandse Zaken, PRICE / Almere, BouwLab, Alliantie Samen Nieuw-West, Innovation Quarter.

Unusual waves grow way beyond known limits

Waves that come from multiple directions are extremer than extreme. These remarkable deep-sea waves can be four times steeper than what was previously imagined, as is shown in research by TU Delft and other universities that was published in Nature today. A long time ago, stories were told of mysterious rogue waves that materialised out of nowhere and could topple even the largest ships. These waves lost their mythical character when the first rogue wave was recorded at the Draupner platform in the North Sea. In 2018, Ton van den Bremer and his colleagues at the Universities of Edinburgh and Oxford managed to recreate the Draupner wave in the lab for the first time ever, and this opportunity to study freak waves closely produced unexpected insights. Multiple waves push up water New research by the research consortium now shows that these remarkable waves do not break when traditional theories hold they should, the secret behind which lies in how they arise. Ton van den Bremer, expert on fluid mechanics at TU Delft and led the study, explains: “When most people think of waves, they think of the rolling waves you’d find on a beach. The type of wave we studied occurs in open water and arises when waves coming from multiple directions come together. When these waves with a high directional spread converge, the water is pushed upwards, forming a partially standing wave. An example of this is known as a crossing wave. How crossing waves arise Under certain conditions at sea, waves from multiple directions occur. This can happen in a place where two seas meet, or where winds suddenly change direction, as in a hurricane. When waves from two directions meet, a cross wave occurs, provided their directions are far enough apart. The study also shows that the further apart the directions are, the higher the resulting cross-wave. Travelling waves break when they reach a certain limit, this is when they reach their maximum steepness. The study shows that waves with a multidirectional spreading can get as much as 80% steeper than this limit before they start breaking, which means they can get almost twice as high as ‘normal waves’ before they start to break. Travelling wave (l) and a wave with high directional spreading (r) Breaking waves that grow Next, the researchers found another highly unusual phenomenon that defies existing theories, a phenomenon that is unprecedented according to Van den Bremer: “Once a conventional wave breaks, it forms a white cap, and there is no way back. But when a wave with a high directional spreading breaks, it can keep growing.” The study shows that these enormous waves can grow to twice their original steepness while breaking, which is already twice bigger than the conventional limit. Together, the waves can grow four times steeper than previously thought possible. Damage to offshore structures The knowledge that multidirectional waves can become as much as four times larger than was deemed possible can help design safer marine structures. "The three-dimensionality of waves is often overlooked in the design of offshore wind turbines and other structures in general; our findings suggest this leads to designs that are less reliable", says Mark McAllister of the University of Oxford, who led the experiments and is now a senior scientist at Wood Thilsted. Innovative vertical sensors made it possible to take accurate 3D measurements of waves. Innovative 3D measurement method A 3D measurement method developed in the FloWave lab paved the way for these new insights. “Conventional 2D wave measurement methods weren’t up to the task”, Van den Bremer explains, which is why the research group designed a new way to create 3D wave measurements. Ross Calvert of the University of Edinburgh: “This is the first time we've been able to measure wave heights at such high spatial resolution over such a big area, giving us a much more detailed understanding of complex wave breaking behaviour." FloWave Ocean Energy Research Facility in Edinburgh. The circular basin has a diameter of 25 metres and can be used to generate waves from multiple directions. Header image by: Fabien Duboc