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Thesis defense L. Mészáros

Thesis defense L. Mészáros 30 June 2023 12:30 - Location: AULA TU DELFT | Add to my calendar L. Mészáros, Master of Science in Euro Hydro-Informatics and Water Management Climate change induced uncertainties in future coastal ecosystem state Promotor 1 Faculty EEMCS Prof.dr.ir. G. Jongbloed Promotor 2 Faculty EEMCS Prof.dr.ir. F.H. van der Meulen Copromotor Faculty EEMCS Dr.ir. G.Y. El Serafy 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.

A plant-powered camera and better AI to detect atmospheric threats

At the very end of last year, NWO Open Technology Programme (OTP) announced two new grants in the fields of environmental monitoring and atmospheric threat detection. Both projects are part the department of Microelectronics, and both will help scientists and society better understand our environment – to limit or otherwise mitigate the consequences of climate change.

Harm Griffioen joins Cybersecurity at TU Delft as Assistant Professor.

Harm Griffioen is appointed Assistant Professor of Cybersecurity at TU Delft, effective June 1, 2023. Harm is an expert on Cyber-threat Intelligence, Network Security, and Artificial Intelligence for Cybersecurity. Currently, he is a postdoctoral researcher at TU Delft and has gained valuable experience working for the Dutch Government and the Hasso Plattner Institute in Germany. Harm received his Ph.D., MSc, and BSc in Computer Science at TU Delft with the highest honors (cum laude). He was also a lecturer for undergraduate and graduate computer science courses for several years and has supervised BSc and MSc student projects at TU Delft. Harm’s research was presented at top security venues such as USENIX Security, IEEE Security and Privacy, ACM CCS, ACM ASIACCS, and RAID. Harm, the Cybersecurity section wishes you a great start in your new position at TU Delft!

Dry Etching

AMS Bosch Deep Si Bosch ICP etcher AMS Cryo Deep Si etcher Sentech F1 Fluorine RIE Sentech F2 Fluorine RIE O.I. Plasmalab System100 ICP RIE with Cl chemistry Tepla 300 Barrel etcher/stripper SCIA Ion beam etcher O.I. PlasmaPro 100 Estrelas Deep SI etching

PowerWeb Lecture: “Combining Deep Reinforcement Learning and Mathematical Optimization for Scalable Decision Making in Power Distribution Systems”

PowerWeb Lecture: “Combining Deep Reinforcement Learning and Mathematical Optimization for Scalable Decision Making in Power Distribution Systems” 30 May 2023 12:45 till 13:30 | Add to my calendar By: Masood Parvania, Associate Professor and Director of Utah Energy and Power Innovation Center (U-EPIC), University of Utah. Date: Tuesday 30 May 2023 Time: 12:45-13:30 (free lunch from 12:15) Location: Faculty of EWI, Mekelweg 4 (Chip Hall) Moderator: Dr Francesco Lombardi Register here : registration form . Abstract : The operation of power distribution systems has grown from passive and manual applications to include making complex decisions in real-time to facilitate the operation of large number of distributed energy resources for various applications. The limitations of mathematical optimization techniques in making scalable real-time decisions under uncertainty, has brought attention to techniques such as deep reinforcement learning (DRL) that has the potential to revolutionize the operation and enable further automation in power distribution systems. This talk will introduce a model that combines DRL with mathematical optimization for real-time operation applications in power distribution systems. This model brings the best of DRL and mathematical optimization, enabling the scalable and automated decision making in real-time while ensuring the physical feasibility of decisions in power distribution systems Short bio of the presenter : Dr. Masood Parvania is the Director of Utah Energy and Power Innovation Center, and Associate Professor of Electrical and Computer Engineering, at the University of Utah. His research interests include the operation, economics and resilience of power and energy systems, and modeling and operation of interdependent critical infrastructures. Dr. Parvania serves as an Associate Editor for the IEEE Transactions on Power Systems and the IEEE Power Engineering Letters.

Ass. Prof. Dr. M.A. (Mariana) Popescu

Kritika Maheshwari in Leeuwarder Courant over de dreiging van AI

'Het idee dat artificiële intelligentie (AI) de mensheid kan bedreigen is niet nieuw. Maar in hoeverre het een werkelijkheid kan worden, blijft een onderwerp van debat', zegt Kritika Maheshwari, universitair docent ethiek en technologiefilosofie.

ELLIS Delft Talk: Manuele Bicego and Michael Biehl

ELLIS Delft Talk: Manuele Bicego and Michael Biehl 04 May 2023 14:00 till 15:30 - Location: Hybride: Lecture Hall Boole (36.HB.T0.610) & Zoom - By: ELLIS Unit Delft | Add to my calendar On Thursday, 4 May the ELLIS Delft Unit is hosting an ELLIS Delft Talk in Lecture Hall Boole with two invited speakers. Manuele Bicego (Università degli Studi di Verona) will talk about ‘Random Forests beyond classification and regression’. Random Forests (RFs) represent a well-known data description tool for Pattern Recognition and Data Mining. RFs are mainly designed to face supervised tasks like classification and regression. However, there has been an increased interest in investigating their exploitation also in unsupervised scenarios like density estimation, clustering, anomaly detection, manifold learning and others. This talk is aimed at describing some of these unsupervised exploitations. Michael Biehl (University of Groningen) will talk about ‘The statistical physics of learning: Phase transitions in layered neural networks and the role of the activation function’. A particularly important aspect of designing neural networks is the choice of activation functions, which define the response of individual neurons to their actual input. In particular in deep learning, a variety of alternatives to the classical sigmoidal activations have been suggested, including the very popular ‘rectified linear unit’ (ReLU) and its modifications. If you're not able to join this session in person, follow link to Zoom here

West Coast Collaborations — IDE delegation visits Stanford, Berkeley, IDEO and more

In May a group of Delft designers headed west to California. Their aim? To build and strengthen education and research partnerships with design institutions in the San Francisco bay area. Over their visit, the IDE delegation shared their impressions and insights via this blog.

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Thesis defense L. Mészáros

Thesis defense L. Mészáros 30 June 2023 12:30 - Location: AULA TU DELFT | Add to my calendar L. Mészáros, Master of Science in Euro Hydro-Informatics and Water Management Climate change induced uncertainties in future coastal ecosystem state Promotor 1 Faculty EEMCS Prof.dr.ir. G. Jongbloed Promotor 2 Faculty EEMCS Prof.dr.ir. F.H. van der Meulen Copromotor Faculty EEMCS Dr.ir. G.Y. El Serafy 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.

A plant-powered camera and better AI to detect atmospheric threats

At the very end of last year, NWO Open Technology Programme (OTP) announced two new grants in the fields of environmental monitoring and atmospheric threat detection. Both projects are part the department of Microelectronics, and both will help scientists and society better understand our environment – to limit or otherwise mitigate the consequences of climate change.

Harm Griffioen joins Cybersecurity at TU Delft as Assistant Professor.

Harm Griffioen is appointed Assistant Professor of Cybersecurity at TU Delft, effective June 1, 2023. Harm is an expert on Cyber-threat Intelligence, Network Security, and Artificial Intelligence for Cybersecurity. Currently, he is a postdoctoral researcher at TU Delft and has gained valuable experience working for the Dutch Government and the Hasso Plattner Institute in Germany. Harm received his Ph.D., MSc, and BSc in Computer Science at TU Delft with the highest honors (cum laude). He was also a lecturer for undergraduate and graduate computer science courses for several years and has supervised BSc and MSc student projects at TU Delft. Harm’s research was presented at top security venues such as USENIX Security, IEEE Security and Privacy, ACM CCS, ACM ASIACCS, and RAID. Harm, the Cybersecurity section wishes you a great start in your new position at TU Delft!

Dry Etching

AMS Bosch Deep Si Bosch ICP etcher AMS Cryo Deep Si etcher Sentech F1 Fluorine RIE Sentech F2 Fluorine RIE O.I. Plasmalab System100 ICP RIE with Cl chemistry Tepla 300 Barrel etcher/stripper SCIA Ion beam etcher O.I. PlasmaPro 100 Estrelas Deep SI etching

PowerWeb Lecture: “Combining Deep Reinforcement Learning and Mathematical Optimization for Scalable Decision Making in Power Distribution Systems”

PowerWeb Lecture: “Combining Deep Reinforcement Learning and Mathematical Optimization for Scalable Decision Making in Power Distribution Systems” 30 May 2023 12:45 till 13:30 | Add to my calendar By: Masood Parvania, Associate Professor and Director of Utah Energy and Power Innovation Center (U-EPIC), University of Utah. Date: Tuesday 30 May 2023 Time: 12:45-13:30 (free lunch from 12:15) Location: Faculty of EWI, Mekelweg 4 (Chip Hall) Moderator: Dr Francesco Lombardi Register here : registration form . Abstract : The operation of power distribution systems has grown from passive and manual applications to include making complex decisions in real-time to facilitate the operation of large number of distributed energy resources for various applications. The limitations of mathematical optimization techniques in making scalable real-time decisions under uncertainty, has brought attention to techniques such as deep reinforcement learning (DRL) that has the potential to revolutionize the operation and enable further automation in power distribution systems. This talk will introduce a model that combines DRL with mathematical optimization for real-time operation applications in power distribution systems. This model brings the best of DRL and mathematical optimization, enabling the scalable and automated decision making in real-time while ensuring the physical feasibility of decisions in power distribution systems Short bio of the presenter : Dr. Masood Parvania is the Director of Utah Energy and Power Innovation Center, and Associate Professor of Electrical and Computer Engineering, at the University of Utah. His research interests include the operation, economics and resilience of power and energy systems, and modeling and operation of interdependent critical infrastructures. Dr. Parvania serves as an Associate Editor for the IEEE Transactions on Power Systems and the IEEE Power Engineering Letters.

Ass. Prof. Dr. M.A. (Mariana) Popescu

Kritika Maheshwari in Leeuwarder Courant over de dreiging van AI

'Het idee dat artificiële intelligentie (AI) de mensheid kan bedreigen is niet nieuw. Maar in hoeverre het een werkelijkheid kan worden, blijft een onderwerp van debat', zegt Kritika Maheshwari, universitair docent ethiek en technologiefilosofie.

ELLIS Delft Talk: Manuele Bicego and Michael Biehl

ELLIS Delft Talk: Manuele Bicego and Michael Biehl 04 May 2023 14:00 till 15:30 - Location: Hybride: Lecture Hall Boole (36.HB.T0.610) & Zoom - By: ELLIS Unit Delft | Add to my calendar On Thursday, 4 May the ELLIS Delft Unit is hosting an ELLIS Delft Talk in Lecture Hall Boole with two invited speakers. Manuele Bicego (Università degli Studi di Verona) will talk about ‘Random Forests beyond classification and regression’. Random Forests (RFs) represent a well-known data description tool for Pattern Recognition and Data Mining. RFs are mainly designed to face supervised tasks like classification and regression. However, there has been an increased interest in investigating their exploitation also in unsupervised scenarios like density estimation, clustering, anomaly detection, manifold learning and others. This talk is aimed at describing some of these unsupervised exploitations. Michael Biehl (University of Groningen) will talk about ‘The statistical physics of learning: Phase transitions in layered neural networks and the role of the activation function’. A particularly important aspect of designing neural networks is the choice of activation functions, which define the response of individual neurons to their actual input. In particular in deep learning, a variety of alternatives to the classical sigmoidal activations have been suggested, including the very popular ‘rectified linear unit’ (ReLU) and its modifications. If you're not able to join this session in person, follow link to Zoom here

West Coast Collaborations — IDE delegation visits Stanford, Berkeley, IDEO and more

In May a group of Delft designers headed west to California. Their aim? To build and strengthen education and research partnerships with design institutions in the San Francisco bay area. Over their visit, the IDE delegation shared their impressions and insights via this blog.
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Tracing ancient settlements in Colombia with remote sensing

A team of the LDE alliance (Leiden University, TU Delft, and Erasmus University Rotterdam) asked whether it might be possible to search for signs of ancient settlements in the jungle with affordable remote sensing techniques. For an expedition in a Colombian dense forest, the team, including remote sensing expert Felix Dahle of TU Delft, joined forces with archaeologists and drone experts from Colombia. In mountainous forests, drones provide affordable access to areas that would otherwise be unreachable from the ground. A LiDAR laser scanner already proved its value in coastal observation . The big question was whether LiDAR could bypass the many treetops. Trees reflect the laser, so it was crucial to fly close so it found its way through the foliage. The team mounted a highly portable LiDAR laser scanner to a drone and went on expedition nearby ancient terraces of the Tairona culture in the Sierra Nevada of Santa Marta. “We had to find the sweet spot. Close to the archaeological sites and still secure above the canopy”, says Felix Dahle. And it passed the test. The LiDAR laser scanner create a point cloud and a detailed 3D model of the landscape. “We were able to detect ancient terraces in the jungle. We discovered that we can scan through the forest when it is not too dense, but some areas remained unfathomable. We could also distinguish several types of vegetation, which might be of great use too to find undiscovered archaeological sites.”

What trees teach us about sustainable production of materials

Trees are excellent teachers when it comes to making materials for load-bearing structures with as little resources and energy as possible. One of their secrets? When a tree grows, the direction of the wood grain adapts itself to fit the load that part of the tree is going to bear.

Exhale Sluitingsweek: A week of free events to say goodbye to Exhale and cosy up for Winter

De allerlaatste Exhale Week vindt plaats van 25 november tot 1 december en staat volledig in het teken van afscheid nemen van Exhale en het omarmen van de winter.

TIL student Laura Drechsel wins Q-Park thesis award

TIL student Laura Drechsel wins the 2024 Q-Park Student Award with her thesis called: Stories of Aging and Access - Exploring capabilities and challenges of accessibility for urban elderly through microstories. Her award-winning thesis can be found here .

TU Delft jointly wins in XPRIZE Rainforest competition in Brazil

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

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 .

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