Card Overview

[AN] Ivan Trapasso: Explorations in wave packet analysis

In this talk we provide a concise overview of the fundamental principles underlying harmonic analysis in phase space. The roots of this vibrant field of modern Fourier analysis are to be found at the crossroads of signal analysis, mathematical physics, representation theory and analysis of partial differential equations. The key idea is to exploit a dictionary of oscillating wave packets (or equivalently, the combined structure of translations and modulations or dilations) to investigate properties of functions, distributions and operators in terms of suitable companion phase space representations.

Addressing time and frequency/scale on the same level presents both advantages and challenges due to the uncertainty principle. In essence, time and frequency exhibit a somewhat dual nature as variables, hence the efforts to handle them concurrently are ultimately directed to keep track of the multifaceted manifestations of their entanglement. We will delve into these issues, whose origins date back to the foundations of quantum mechanics, and show how they continue to stimulate insightful research in analysis.

Lastly, we will offer a taste of applications of these techniques to some problems motivated by the current challenges of data science, mostly in order to convey the message that the principles of time-frequency analysis are ubiquitous, hence adopting a phase space perspective can provide a versatile framework to explore problems from pure and applied mathematics.

[AN] Max Sauerbrey: The stochastic thin-film equation with nonlinear noise

The stochastic thin film equation is a degenerate 4-th order SPDE arising in fluid dynamics with a conservative, possibly nonlinear noise term. We introduce this equation, motivate its mathematical analysis and highlight the main challenges when approaching it. We also review recent developments on the existence theory of martingale solutions to this equation and discuss the existence results in the situation that the noise term is nonlinear in more detail.

[AN] Teun van Nuland: Multiple operator integrals and the abstract pseudodifferential calculus of Connes and Moscovici

Multiple operator integrals (MOIs) appear in various areas of noncommutative geometry, as well as more general situations where functional calculus clashes with noncommuting operators. Uncovering MOIs where they appear ‘undercover’ enables a unified view, and often leads to new connections and generalizations. However, sometimes the integral expressions that you want to uncover as MOIs are unbounded, which does not match the traditional MOI formalism as developed by Peller in 2006. Our proposed solution is to merge multiple operator integration with the abstract pseudodifferential calculus of Connes and Moscovici. Based on ongoing joint work with Eva-Maria Hekkelman and Edward McDonald.

Applicants with a Dutch bachelor degree

Admission requirements All applicants have to fulfil the minimal TU Delft admission requirements . Direct admission (no specific requirements) Individuals holding one of the following Dutch degrees can be admitted to the master programme in Computer Science: Bachelor degree in Computer Science & Engineering (Technische Informatica (TI)) from Delft University of Technology, Eindhoven University of Technology or University of Twente Bachelor degree in Computer Science from a Dutch research university Bachelor degree in Electrical Engineering or Applied Mathematics from Delft University of Technology, Eindhoven University or University of Twente and a completed bridging programming in Computer Science & Engineering from TU Delft Bachelor degree Computer Science & Engineering from a Dutch HBO institution (TI) in combination with a completed bridging programme in Computer Science & Engineering from TU Delft. Individual admission (with a Dutch university bachelor degree) If your Dutch university bachelor degree does not give direct admission, you can apply for individual admission if you meet the academic background admission requirements . Please register for the master programme Computer Science via Studielink and send an email to MSc-EEMCS@tudelft.nl . You will receive instructions on which documents to supply for the assessment by the admission committee. Please note: We do not offer a bridging programme to applicants with a Dutch university bachelor degree from outside of the EEMCS faculty. Admission to the bridging programme in Computer Science and Engineering If you have a Dutch HBO bachelor degree in Computer Science and Engineering (Technische Informatica) or a WO bachelor degree in Data Science and Artificial Intelligence Technology you may be eligible for a bridging programme that after completion gives admission to our master programme in Computer Science. For more information please send an e-mail to MSc-EEMCS@tudelft.nl

Applicants with a Dutch bachelor degree

Admission requirements All applicants have to fulfil the minimal TU Delft admission requirements . Direct admission (no specific requirements) Individuals holding one of the following Dutch degrees can be admitted to the master programme in Computer Science: Bachelor degree in Computer Science & Engineering (Technische Informatica (TI)) from Delft University of Technology, Eindhoven University of Technology or University of Twente Bachelor degree in Computer Science from a Dutch research university Bachelor degree in Electrical Engineering or Applied Mathematics from Delft University of Technology, Eindhoven University or University of Twente and a completed bridging programming in Computer Science & Engineering from TU Delft Bachelor degree Computer Science & Engineering from a Dutch HBO institution (TI) in combination with a completed bridging programme in Computer Science & Engineering from TU Delft. Individual admission (with a Dutch university bachelor degree) If your Dutch university bachelor degree does not give direct admission, you can apply for individual admission if you meet the academic background admission requirements . Please register for the master programme Computer Science via Studielink and send an email to MSc-EEMCS@tudelft.nl . You will receive instructions on which documents to supply for the assessment by the admission committee. Please note: We do not offer a bridging programme to applicants with a Dutch university bachelor degree from outside of the EEMCS faculty. Admission to the bridging programme in Computer Science and Engineering If you have a Dutch HBO bachelor degree in Computer Science and Engineering (Technische Informatica) or a WO bachelor degree in Data Science and Artificial Intelligence Technology you may be eligible for a bridging programme that after completion gives admission to our master programme in Computer Science. For more information please send an e-mail to MSc-EEMCS@tudelft.nl

Adarsh Kalikadien

Adarsh Kalikadien I obtained my BSc in Molecular Science & Technology and MSc in Chemical Engineering at the TU Delft. During my master thesis at the ISE group, I worked on computational tools for a data-driven approach towards faster local chemical space exploration of homogeneous catalysts. After my master studies I joined the ISE group as a PhD researcher. The project is focused on the bigger picture: is it possible to develop automated and bias-free approaches for discovering new homogeneous catalysts? Data in this interdisciplinary field are very scarce and open-source computational tools are usually tailored to a specific research group’s needs. Within our group we have a combination of experimental and theoretical knowledge. Combining this with our general, open-source tools and FAIR shared data we hope to progress towards automated catalyst design. Students with an interest in either programming, data science or computational chemistry are welcome to join for a thesis project. Feel free to send me an email! Adarsh Kalikadien PhD candidate A.V.kalikadien@tudelft.nl TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 – Room E2.360 Van der Maasweg 9 2629 HZ Delft

Nithya Avadakkam

Sreenithya Avadakkam Sreenithya graduated master’s in chemistry from Cochin University of Technology in 2011. She received Ph.D. in computational chemistry in 2019 under the supervision of Prof. Raghavan B. Sunoj at the Indian Institute of Technology Bombay. She then worked as a postdoctoral researcher at Colorado State University with Prof. Robert S. Paton (2019-2021). She joined as a postdoctoral researcher at the Delft University of Technology with Prof. Evgeny Pidko in June 2022. Sreenithya’s research interests are in the area of computational chemistry focusing on catalytic reaction mechanisms and designing new catalysts by applying quantum mechanical calculations and statistical modeling. Sreenithya Avadakkam Post Doctoral Researcher TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft

Evgeny Uslamin

Evgeny Uslamin Dr. Evgeny Uslamin Postdoctoral Researcher E.Uslamin@tudelft.nl TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft 0

Alexander Kolganov

Alexander Kolganov I graduated from Novosibirsk State University (2018, diploma with honors) and got my Ph.D. degree from Boreskov Institute of Catalysis with Prof. Alexander G. Stepanov in 2022. My Ph.D. work focused on the spectroscopical and theoretical studies of methane activation on metal-containing zeolites. After my Ph.D. defence, I joined the ISE group as a postdoc. My current scientific interest focus on the dynamics in heterogeneous catalysis. Alexander Kolganov Postdoctoral Researcher TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft

Filter results

[AN] Ivan Trapasso: Explorations in wave packet analysis

In this talk we provide a concise overview of the fundamental principles underlying harmonic analysis in phase space. The roots of this vibrant field of modern Fourier analysis are to be found at the crossroads of signal analysis, mathematical physics, representation theory and analysis of partial differential equations. The key idea is to exploit a dictionary of oscillating wave packets (or equivalently, the combined structure of translations and modulations or dilations) to investigate properties of functions, distributions and operators in terms of suitable companion phase space representations.

Addressing time and frequency/scale on the same level presents both advantages and challenges due to the uncertainty principle. In essence, time and frequency exhibit a somewhat dual nature as variables, hence the efforts to handle them concurrently are ultimately directed to keep track of the multifaceted manifestations of their entanglement. We will delve into these issues, whose origins date back to the foundations of quantum mechanics, and show how they continue to stimulate insightful research in analysis.

Lastly, we will offer a taste of applications of these techniques to some problems motivated by the current challenges of data science, mostly in order to convey the message that the principles of time-frequency analysis are ubiquitous, hence adopting a phase space perspective can provide a versatile framework to explore problems from pure and applied mathematics.

[AN] Max Sauerbrey: The stochastic thin-film equation with nonlinear noise

The stochastic thin film equation is a degenerate 4-th order SPDE arising in fluid dynamics with a conservative, possibly nonlinear noise term. We introduce this equation, motivate its mathematical analysis and highlight the main challenges when approaching it. We also review recent developments on the existence theory of martingale solutions to this equation and discuss the existence results in the situation that the noise term is nonlinear in more detail.

[AN] Teun van Nuland: Multiple operator integrals and the abstract pseudodifferential calculus of Connes and Moscovici

Multiple operator integrals (MOIs) appear in various areas of noncommutative geometry, as well as more general situations where functional calculus clashes with noncommuting operators. Uncovering MOIs where they appear ‘undercover’ enables a unified view, and often leads to new connections and generalizations. However, sometimes the integral expressions that you want to uncover as MOIs are unbounded, which does not match the traditional MOI formalism as developed by Peller in 2006. Our proposed solution is to merge multiple operator integration with the abstract pseudodifferential calculus of Connes and Moscovici. Based on ongoing joint work with Eva-Maria Hekkelman and Edward McDonald.

Applicants with a Dutch bachelor degree

Admission requirements All applicants have to fulfil the minimal TU Delft admission requirements . Direct admission (no specific requirements) Individuals holding one of the following Dutch degrees can be admitted to the master programme in Computer Science: Bachelor degree in Computer Science & Engineering (Technische Informatica (TI)) from Delft University of Technology, Eindhoven University of Technology or University of Twente Bachelor degree in Computer Science from a Dutch research university Bachelor degree in Electrical Engineering or Applied Mathematics from Delft University of Technology, Eindhoven University or University of Twente and a completed bridging programming in Computer Science & Engineering from TU Delft Bachelor degree Computer Science & Engineering from a Dutch HBO institution (TI) in combination with a completed bridging programme in Computer Science & Engineering from TU Delft. Individual admission (with a Dutch university bachelor degree) If your Dutch university bachelor degree does not give direct admission, you can apply for individual admission if you meet the academic background admission requirements . Please register for the master programme Computer Science via Studielink and send an email to MSc-EEMCS@tudelft.nl . You will receive instructions on which documents to supply for the assessment by the admission committee. Please note: We do not offer a bridging programme to applicants with a Dutch university bachelor degree from outside of the EEMCS faculty. Admission to the bridging programme in Computer Science and Engineering If you have a Dutch HBO bachelor degree in Computer Science and Engineering (Technische Informatica) or a WO bachelor degree in Data Science and Artificial Intelligence Technology you may be eligible for a bridging programme that after completion gives admission to our master programme in Computer Science. For more information please send an e-mail to MSc-EEMCS@tudelft.nl

Applicants with a Dutch bachelor degree

Admission requirements All applicants have to fulfil the minimal TU Delft admission requirements . Direct admission (no specific requirements) Individuals holding one of the following Dutch degrees can be admitted to the master programme in Computer Science: Bachelor degree in Computer Science & Engineering (Technische Informatica (TI)) from Delft University of Technology, Eindhoven University of Technology or University of Twente Bachelor degree in Computer Science from a Dutch research university Bachelor degree in Electrical Engineering or Applied Mathematics from Delft University of Technology, Eindhoven University or University of Twente and a completed bridging programming in Computer Science & Engineering from TU Delft Bachelor degree Computer Science & Engineering from a Dutch HBO institution (TI) in combination with a completed bridging programme in Computer Science & Engineering from TU Delft. Individual admission (with a Dutch university bachelor degree) If your Dutch university bachelor degree does not give direct admission, you can apply for individual admission if you meet the academic background admission requirements . Please register for the master programme Computer Science via Studielink and send an email to MSc-EEMCS@tudelft.nl . You will receive instructions on which documents to supply for the assessment by the admission committee. Please note: We do not offer a bridging programme to applicants with a Dutch university bachelor degree from outside of the EEMCS faculty. Admission to the bridging programme in Computer Science and Engineering If you have a Dutch HBO bachelor degree in Computer Science and Engineering (Technische Informatica) or a WO bachelor degree in Data Science and Artificial Intelligence Technology you may be eligible for a bridging programme that after completion gives admission to our master programme in Computer Science. For more information please send an e-mail to MSc-EEMCS@tudelft.nl

Adarsh Kalikadien

Adarsh Kalikadien I obtained my BSc in Molecular Science & Technology and MSc in Chemical Engineering at the TU Delft. During my master thesis at the ISE group, I worked on computational tools for a data-driven approach towards faster local chemical space exploration of homogeneous catalysts. After my master studies I joined the ISE group as a PhD researcher. The project is focused on the bigger picture: is it possible to develop automated and bias-free approaches for discovering new homogeneous catalysts? Data in this interdisciplinary field are very scarce and open-source computational tools are usually tailored to a specific research group’s needs. Within our group we have a combination of experimental and theoretical knowledge. Combining this with our general, open-source tools and FAIR shared data we hope to progress towards automated catalyst design. Students with an interest in either programming, data science or computational chemistry are welcome to join for a thesis project. Feel free to send me an email! Adarsh Kalikadien PhD candidate A.V.kalikadien@tudelft.nl TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 – Room E2.360 Van der Maasweg 9 2629 HZ Delft

Nithya Avadakkam

Sreenithya Avadakkam Sreenithya graduated master’s in chemistry from Cochin University of Technology in 2011. She received Ph.D. in computational chemistry in 2019 under the supervision of Prof. Raghavan B. Sunoj at the Indian Institute of Technology Bombay. She then worked as a postdoctoral researcher at Colorado State University with Prof. Robert S. Paton (2019-2021). She joined as a postdoctoral researcher at the Delft University of Technology with Prof. Evgeny Pidko in June 2022. Sreenithya’s research interests are in the area of computational chemistry focusing on catalytic reaction mechanisms and designing new catalysts by applying quantum mechanical calculations and statistical modeling. Sreenithya Avadakkam Post Doctoral Researcher TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft

Evgeny Uslamin

Evgeny Uslamin Dr. Evgeny Uslamin Postdoctoral Researcher E.Uslamin@tudelft.nl TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft 0

Alexander Kolganov

Alexander Kolganov I graduated from Novosibirsk State University (2018, diploma with honors) and got my Ph.D. degree from Boreskov Institute of Catalysis with Prof. Alexander G. Stepanov in 2022. My Ph.D. work focused on the spectroscopical and theoretical studies of methane activation on metal-containing zeolites. After my Ph.D. defence, I joined the ISE group as a postdoc. My current scientific interest focus on the dynamics in heterogeneous catalysis. Alexander Kolganov Postdoctoral Researcher TU Delft | Faculty of Applied Sciences | Department of Chemical Engineering Building 58 Van der Maasweg 9 2629 HZ Delft
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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/

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

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