October 2020 - Talks - lists.usi.ch

[PIDSIA] Amphibious Krock 2 robot and challenges in multimodal locomotion by Matthew Estrada, September 23 at 11.30, room 222

by Announcements of talks＠IDSIA

*Title: Amphibious Krock 2 robot and challenges in multimodal locomotion *Abstract: Salamander inspired platforms have been used to study robotic/biological locomotion in the Biorobotics Laboratory at EPFL for over a decade, drawing parallels between humanmade and natural systems to improve our understanding of both. Our most recent iteration, Krock 2, is targeted towards search and rescue applications within the NCCR Robotics program. Previously demonstrated in terrestrial applications, it is now being introduced into the water through the use of a dry suit and undulatory swimming gait. Multimodal locomotion carries the inherent challenge that the morphology and actuation for one mode may not be useful, or even present a hindrance, for another. On the other hand, unique synergies between modes of locomotion can present themselves. Its sprawling-posture gait and capability to swim along the water's surface manage to avoid the persistent challenge of balance within legged locomotion. However, this comes with inherent challenges in the perception of the environment, which we are addressing in collaborations. *Speaker: Matthew Estrada is a Postdoctoral Researcher at the Biorobotics Laboratory (https://www.epfl.ch/labs/biorob/), EPFL. He is currently leading the hardware development, control, and simulation of the amphibious Krock 2 robot under the Swiss NCCR Robotics program. *Date: Wednesday, September 23, 2020, at 11:30 *Location: Manno, Galleria 1, 2nd floor, room 222 *Doodle registration: Due to COVID19 guidelines, there are limited available places in the booked room. Please state your attendance or virtual attendance in this doodle: https://doodle.com/poll/vqhsnkvw3ufwawh5 *Pizza: Due to COVID19 restrictions, there will be no pizza after the meeting. -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

3 years, 4 months

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[VIRUAL PIDSIA] Metabolic windows into ageing: A multi-omics metabolic modelling approach to understanding ageing at a systems level

by Announcements of talks＠IDSIA

Abstract Metabolism is central to all processes of life and the metabolome -- large-scale measurement of the quantities of small molecular entities in cells and tissues -- gives a readout of cellular functioning at a point in time. Harnessing metabolomic information together with transcriptomic information about gene expression allows for multi-level insights into genetic dysregulation and its cellular effects. I will describe a multi-omics approach based on genome-scale modelling that is able to integrate the two levels and provide insights into the systems-level deregulation of cellular function due to ageing by transforming the cellular reaction space into a constraint-based linear optimisation problem. Metabolic models such as these and their interpretation depends on publicly available data about small molecular metabolites. Chemical ontologies provide structured classifications of chemical entities that can be used for navigation and filtering of chemical space. ChEBI is a prominent example of a chemical ontology, widely used in life science contexts including to annotate metabolites in genome-scale models. However, ChEBI is manually maintained and as such does not scale to the full range of metabolites in all organisms. There is a need for tools that are able to automatically classify chemical data into chemical ontologies, which can be framed as a hierarchical multi-class classification problem, based on chemical structures, which are represented as connected graphs of atoms and bonds. I will discuss recent efforts to evaluate machine learning approaches for this task, comparing different learning frameworks including logistic regression, decision trees and LSTMs, and different encoding approaches for the chemical structures, including cheminformatics 'fingerprints' (feature vectors) and character-based encodings from chemical line notation structural representations. *Speaker: Janna Hastings is a computer scientist who applies semantic technologies to address challenges in scientific data management and discovery. She is currently a post-doctoral researcher at the Department of Theoretical Computer Science, Otto-von-Guericke University Magdeburg, Germany, and an expert consultant to the Center for Behaviour Change, University College London. She holds a PhD in Computational Biology, an MSc in Computer Science and an MA in Philosophy. For a full list of publications, see Google Scholar: https://scholar.google.com/citations?hl=en&user=cz-hhPUAAAAJ. *Date: Thursday, October 29, 2020, at 11:30 *Zoom link: https://supsi.zoom.us/j/98358510987?pwd=Z2hLRTY4TytweDRCcHB4MkFFaTIzdz09 ID meeting: 983 5851 0987 Passcode: 183530

3 years, 5 months

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Medical image analysis for virtual biopsy and personalized prognostic profiling in clinical pathway - Lara Cavinato - 15.10.2020 15h00

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You are warmly invited to attend a talk titled “Medical image analysis for virtual biopsy and personalized prognostic profiling in clinical pathway” by Lara Cavinato. The event will take place at IDSIA, Manno, Galleria 1 building, 2nd floor in a room to be announced at 15h00. *Abstract*Clinical decision support systems, or CDSSs, represent a paradigm shift in healthcare today as they are expected to aid clinicians in their complex decision-making processes, encompassing data of different type and source. In oncology, most of the information used for devising optimal and personalized prognostic profiling is biological, which is time- and resource-demanding to retrive, thus unfeasible to enter a CDSS workflow. Here comes the hypothesis that imaging-derived information, namely radiomics, can be a surrogate for biological characterization of tissues, performing the so-called "virtual biopsy" and informing the entire treatment planning. Given this rationale, some example of application as well as open issues and future directions will be further discussed. *The speaker* Lara Cavinato is a PhD student in Data Analytics and Decision Science at Politecnico di Milano; she spent visiting periods at the Sinha Lab (MIT) and at the Humanitas Research Hospital. -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

3 years, 6 months

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This is a test, please ignore

by Announcements of talks＠IDSIA

… but I need at least a few replies to check whether you have received it. So, if you name begins with an “A” please reply. Thanks Andrea -- This message was scanned by SUPSI mail-scanner and is believed to be clean.

3 years, 6 months

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About applied algebra - Emanuele Delucchi - 14.10.2020 12h00

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Dear All, You are warmly invited to attend a talk titled “About applied algebra” by Emanuele Delucchi. The event will take place at IDSIA, Manno, Galleria 1 building, 2nd floor in Room 222 at 12h00. The number of available places is limited, so you are kindly invited to register here: https://doodle.com/poll/dhyx3gifur2yfgg5 Abstract The field of applied algebra encompasses a wide range of subjects in pure mathematics with applications in areas such as data analysis, biology, optimization and coding theory, to name a few. A hallmark of this research area is the mutual interaction between the development of abstract mathematical tools and the problems coming from real-world applications. In the talk I will illustrate this fascinating subject by means of a few examples that are especially related to my own research, including applications to computational biology, consensus methods in data analysis and neural networks. The exposition will not assume any preliminary knowledge, and everybody is welcome to attend. The speaker Emanuele Delucchi is SNSF-Professor of mathematics at University of Fribourg since 2014. He obtained his Ph.D. in mathematics from ETHZ in 2006 and has since held postdoctoral positions in Italy (Pisa), the USA (MSRI Berkeley and SUNY Binghamton) and Germany (Bremen). He obtained his "Habilitation" in Bremen in 2011. In 2019 he was appointed an ISA fellow at the University of Bologna. His research is in combinatorics, topology, algebra and their applications. He is also interested in mathematics education.

3 years, 6 months

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Talks October 2020