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ELLIS Delft Talk by Javier Alonso-Mora

ELLIS Delft Talk by Javier Alonso-Mora 12 April 2022 16:00 (NOTE: the meeting moved from 5th -> 12th) This will be a hybrid meeting This meeting is open for all interested researchers. Motion Planning among Decision-Making Agents: Trajectory Optimization with Learned Cost Functions Abstract We move towards an era of smart cities, where autonomous vehicles will provide on-demand transportation while making our streets safer and mobile robots will coexist with humans. The motion plan of mobile robots and autonomous vehicles must, therefore, account for the interaction with other agents and consider that they are, as well, decision-making entities. For example, when humans drive a car, they are fully aware of their environment and how other drivers and pedestrians may react to their future actions. Towards this objective I will discuss several methods for motion planning and multi-robot coordination that leverage constrained optimization and reinforcement learning to achieve interactive behaviors with safety guarantees. Namely: using inverse reinforcement learning and social value estimation to achieve social behaviors; employing a learned policy to guide the motion planner in dense traffic scenarios or for information gathering; achieving social trajectories by learning a cost function from a dataset of human-driven vehicles; and learning to communicate the relevant information for multi-robot coordination. The methods are of broad applicability, including autonomous vehicles and aerial vehicles. Bio Javier Alonso-Mora is an Associate Professor at the Department of Cognitive Robotics of the Delft University of Technology, the director of the Autonomous Multi-robots Laboratory, a Principal Investigator at the Amsterdam Institute for Advanced Metropolitan Solutions and co-founder of The Routing Company. Previously, he was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) of the Massachusetts Institute of Technology. He received his Ph.D. degree in robotics from ETH Zurich, in partnership with Disney Research Zurich. He serves as associate editor for Springer Autonomous Robots, and has served as associate editor for the IEEE Robotics and Automation Letters, the Publications Chair for the IEEE International Symposium on Multi-Robot and Multi-Agent Systems 2021 and associate editor for ICRA, IROS and ICUAS. He is the recipient of several prizes and grants, including an ERC Starting Grant (2021), the ICRA Best Paper Award on Multi-robot Systems (2019), an Amazon Research Award (2019) and a talent scheme VENI award from the Netherlands Organisation for Scientific Research (2017). More info: https://www.autonomousrobots.nl/ To join this event, please contact Frans Oliehoek .

van Duijvenbode, J.R.

Profile TU Delft (2018 – current) Ph.D. candidate in Resource Engineering I obtained a MSc degree in the European Mining Course (EMC) from Delft University of Technology, Aalto University and RWTH Aachen. My master thesis was about: Development and Validation of Short-term Mine Planning Optimization Algorithms for a Sublevel Stoping Operation with Backfilling. Research PhD research into the behavioural Geology – Understanding how differences in geology influence metallurgical performance. The research topic consists of integrating collected information on metallurgical properties, directly or through proxies back into the resource model. The consideration of metallurgical costs is the only way forward to obtain truly optimized mining decisions, accounting for constraints and bottlenecks in the comminution circuit and chemical processing plant. This is important to better characterize metallurgical behavior of the plant feed, which allows for a morel optimal selection of process control settings. The envisioned solution will result in an increased recovery in combination with a lower utilization of energy and chemicals per tonne of processed material (lower environmental footprint). Consequently, overall OPEX will drop making lower grade ore economic while increasing the mineral resources that are available for conversion to ore reserves (lesser need to open up new mines). Moreover, a better characterization of mining blocks reduces the unintended processing of waste due to lower overall classification errors. Copromotor: Dr. M. Soleymani Shishvan Promotor(s): Dr. M. Buxton and Prof. Jan Dirk Jansen Jeroen van Duijvenbode PhD Candidate + 31 15 27 82262 J.R.vanDuijvenbode@tudelft.nl Faculty of Civil Engineering and Geosciences Building 23 Stevinweg 1 / PO-box 5048 2628 CN Delft / 2600 GA Delft Room number: 3.21

ELLIS Delft Talk by Guillaume Rongier

ELLIS Delft Talk by Guillaume Rongier Going beyond empirical relationships in geology: The example of total organic carbon 01 February 2022 16:00 Abstract While machine learning has a long history in geology, empirical relationships remain widely used. Through the example of total organic carbon (TOC), this talk will illustrate the close links between empirical relationships and machine learning, and the benefits of turning to machine learning. TOC is a measure of the proportion of organic carbon in rock samples typically gathered from boreholes. It can be used to assess the potential for hydrocarbons, understand rock mechanics, or assess reducing conditions for basin-hosted mineral systems, and is paramount when seeking to understand variations in paleo-environmental conditions. Since gathering and analyzing rock samples is expensive, empirical relationships have been developed to predict TOC from well logs, which are based on more widely available geophysical measurements into boreholes. Those empirical relationships come from geological and petrophysical principles implemented in mathematical models manually fitted to the data. This leads to several limitations, mainly poor generalization, inability to quantify uncertainties, time-consuming and subjective calibration that leads to reproducibility issues. But those empirical relationships can be rewritten as linear regressions, a simple change that solves many of the previous limitations. Turning to more advanced machine learning methods improves predictions by taking into account the non-linearity and variability in the data. Using the expert knowledge behind empirical relationships as input besides well logs improves the predictions as well: this shows that leveraging geological and petrophysical concepts through feature selection and engineering boosts machine learning performances. To join this event, please contact Frans Oliehoek .

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How system safety can make Machine Learning systems safer in the public sector

Machine Learning (ML), a form of AI where patterns are discovered in large amounts of data, can be very useful. It is increasingly used, for example, in chatbot Chat GPT, facial recognition, or speech software. However, there are also concerns about the use of ML systems in the public sector. How do you prevent the system from, for example, discriminating or making large-scale mistakes with negative effects on citizens? Scientists at TU Delft, including Jeroen Delfos, investigated how lessons from system safety can contribute to making ML systems safer in the public sector. “Policymakers are busy devising measures to counter the negative effects of ML. Our research shows that they can rely much more on existing concepts and theories that have already proven their value in other sectors,” says Jeroen Delfos. Jeroen Delfos Learning from other sectors In their research, the scientists used concepts from system safety and systems theory to describe the challenges of using ML systems in the public sector. Delfos: “Concepts and tools from the system safety literature are already widely used to support safety in sectors such as aviation, for example by analysing accidents with system safety methods. However, this is not yet common practice in the field of AI and ML. By applying a system-theoretical perspective, we view safety not only as a result of how the technology works, but as the result of a complex set of technical, social, and organisational factors.” The researchers interviewed professionals from the public sector to see which factors are recognized and which are still underexposed. Bias There is room for improvement to make ML systems in the public sector safer. For example, bias in data is still often seen as a technical problem, while the origin of that bias may lie far outside the technical system. Delfos: “Consider, for instance, the registration of crime. In neighbourhoods where the police patrol more frequently, logically, more crime is recorded, which leads to these areas being overrepresented in crime statistics. An ML system trained to discover patterns in these statistics will replicate or even reinforce this bias. However, the problem lies in the method of recording, not in the ML system itself.” Reducing risks According to the researchers, policymakers and civil servants involved in the development of ML systems would do well to incorporate system safety concepts. For example, it is advisable to identify in advance what kinds of accidents one wants to prevent when designing an ML system. Another lesson from system safety, for instance in aviation, is that systems tend to become more risky over time in practice, because safety becomes subordinate to efficiency as long as no accidents occur. “It is therefore important that safety remains a recurring topic in evaluations and that safety requirements are enforced,” says Delfos. Read the research paper .

Boosting sustainable building education

Boosting sustainable building education in The Netherlands On 17 September, TU Delft launched a new initiative to implement sustainable building practices across the Dutch educational landscape by bringing together educators from Dutch vocational institutions (MBO) and TU Delft lecturers. Last week, the kick-off event at The Green Village on the TU Delft campus brought together 10 educators from MBO institutions and lecturers from TU Delft’s Sustainable Building with Timber MOOC. Educating for impact From September to December 2024, the MBO educators will participate in the MOOC as students: watching videos, completing course exercises, and submitting assignments. Additionally, they will engage in online sessions guided by TU Delft lecturers, who provide subject matter expertise, and an educational expert supporting the online learning process. From December through June 2025, the focus will shift to creating adaptable and open teaching resources specifically developed for MBO institutions. A ripple effect By equipping teachers with the tools and knowledge to teach sustainable building, the initiative supports the transition to more environmentally responsible practices within the building industry. The knowledge shared through this programme, made possible in collaboration with Leren voor Morgen and the MBO Raad (Council for schools of vocational education and training ), will shape the future workforce and contribute to a more sustainable world. While initially targeting a limited number of MBO institutions, the initiative’s impact is expected to extend far beyond. As educators integrate the materials into their curricula, the knowledge will reach future generations of students, amplifying the long-term influence of the project. Sustainable Building with Timber MOOC Course information A two-way learning process This mutually beneficial project embodies lifelong learning. MBO teachers gain access to cutting-edge teaching materials on building with timber, while TU Delft benefits from the practical insights these practitioners bring from the field. This knowledge exchange enhances vocational education and strengthens TU Delft’s research and teaching. Open resources for lasting impact A key goal of the project is to create open-access, customisable teaching materials, enabling educators to tailor content to meet the specific needs of their institutions and students. This flexible approach fosters the teaching of sustainable building techniques. Acknowledgements Heartfelt thanks to everyone involved in making this initiative possible. Together, we are laying the foundations for a more sustainable future.

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)