Upcoming Invited and PhD seminars 2021
| JUNE | 2021 - face-to-face SEMINAR! | |
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March, 22 12.00 h Auditorium Current Auditorium capacity: 83 seats
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Invited Research Seminar By Dr. Mariza Dima, Senior Lecturer in Games Design | Research Lead for Digital Arts | FHEA Bringing the past to life through AR-enabled affective storytelling Abstract: Despite the long history of use of technologies such as mobile AR in heritage, it is only in the latest years that AR design started considering the richness of stories connected to the heritage places and make them the focus of the design process. Within this field, Mariza Dima will talk about creating an affective journey of a heritage site drawing on dramaturgy and using smart glass AR to tap into the site's dramatic potential. She will present her recent project, Sutton House Stories, discuss challenges and opportunities of the design process and introduce a draft framework for creating smart glass AR heritage journeys that are meaningful, educational, and fun.
Host: Josep Blat |
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| Seminars are currently taking place online | ||
| FEB | 2021 | |
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February, 8
14.30 h
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Invited Research Seminar By Gergely Neu Scaling up Reinforcement Learning with Guarantees Abstract: Recent years saw a massive surge of interest in a subfield of machine learning called reinforcement learning (RL). Reinforcement learning models the interaction between a learning agent and a dynamically changing environment, aiming to develop efficient algorithms for the agent to identify good strategies that maximize long-term performance metrics specified in terms of a reward function. While RL techniques have contributed to several recent breakthroughs of artificial intelligence, these techniques are far from being deployable in real-world scenarios, particularly due to their lack of performance guarantees. Accordingly, there has been a lot of recent interest in developing RL algorithms with provable performance guarantees. This talk summarizes my contributions to this movement. Host: Anders Jonsson |
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February, 12 16:00
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PhD Seminar
By Ricardo Baeza-Yates following the previous FATE series
Ethics in AI: A Challenging Task
Abstract:
In the first part we cover current specific challenges: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., biometric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias, antitrust); and (4) non-rational stock market (e.g., Signal and Gamestop) . These examples do have a personal bias but set the context for the second part where we address three generic challenges: (1) cultural differences (e.g., Christian vs. Muslim); (2) legal issues (e.g., privacy, regulation) and (3) too many principles (e.g., principles vs. techniques). Registration is needed using this form |
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February, 15 14:30
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Invited Research Seminar - This seminar has been cancelled By Laura Ines Furlong Enabling precision medicine by translational bioinformatics Abstract: Genomics is transforming health care and drug development. During the last 25 years, we have witnessed an unprecedented progress in the discovery of genetic variation associated with diseases thanks to the advent of high-throughput sequencing technologies. This has opened the possibility of using this information to improve disease diagnosis, to develop new treatments or to predict the individual susceptibility to diseases. Despite these progresses, some challenges hamper the exploitation of genomic data and translating it into clinically actionable information. I will briefly present those challenges and how we are addressing them from the perspective of systems medicine and big data analytics, with different applications such as variant interpretation, patient stratification, and nomination of candidate drug targets. Host: Jérôme Noailly |
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February,18 16.30 |
Invited Research Seminar - This seminar has been cancelled By Balder ten Cate Database queries, schema mappings, and data examples Abstract: In this talk I will give an overview of work that I have done around example-driven approaches to the specification of database queries and schema mappings. Using techniques from logic and finite model theory, computational learning theory, and the theory of constraint satisfaction problems, my collaborators and I were able to develop algorithmic solutions and systems for various tasks such as generating uniquely-characterizing examples from specifications and learning specifications from examples; as well as identify boundaries of efficient computability. In the process, we established some deep connections with work in other areas of logic and computer science. I will also briefly review some other work I have done in the broader area of logic, data management, and knowledge representation. Host: Victor Dalmau |
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Seminars take place at UPF, Campus Poblenou, Roc Boronat, 138, Barcelona and will only be streamed/recorded if the speaker has granted permission. Rooms 55.309 / 55.410 streaming / Auditorium streaming
EiTIC members: If you are interested in giving a Research Seminar or you would like to invite a speaker, please fill in the following form RSDetails Form.
| MARCH | 2020 | |
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March, 19
12.00
55.309 |
Invited Research Seminar By Petri Toiviainen, Finnish Centre for Interdisciplinary Music Research, University of Jyväskylä fMRI meets MIR: studying neural correlates of music listening with a naturalistic paradigm Abstract: The past two decades have witnessed a surge of neuroimaging studies that have attempted at identify brain structures involved in the perception of music-related perceptual features, such as pitch, sensory dissonance, rhythm, timbre, and key, typically in controlled conditions wherein the feature of interest has been presented in isolation and manipulated artificially. Such studies have inspected phenomena relatively distinct from the actual music listening situation where listeners continuously and subconsciously extract several musical features that are changing and integrate them into coherent percepts. To alleviate this shortcoming, our team has introduced and employed a naturalistic paradigm, wherein neural correlates of music processing are investigated using brain imaging data collected during continuous listening of music recordings and modelled using features computationally extracted from the presented music. I will give an overview of this work, including approaches of both encoding neural activation from music and decoding musical content and listener characteristics from neural activation. I will also present our ongoing work in which we aim to switch from feature engineering to feature learning in order to model the neural correlates of implicit music learning and enculturation. To this end, we will employ unsupervised deep neural networks to learn style-specific musical features at a range of abstraction levels and compare the thus learned representations with neural representations to investigate how music is processed in the brain at different hierarchical levels and how this depends on previous musical exposure. Host: Xavier Serra Casals |
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March, 19
15.30
55.309 |
PhD Research Seminar By Simone Tassani Statistical course and Design of Experiments - course composed on 6 2-hour sessions The course of statistics aims to introduce a number of tools for master/Ph.D. students and post docs. The presented tools will play a role in planning many kind of studies, properly analyse the results and understand if data analysed by other researchers are or not reliable. Bio: Dr. Simone Tassani is senior researcher of the Multiscale and Computational Biomechanics and Mechanobiology (MBIOMM) team in the SIMBiosys group. |
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March, 26
15.30
55.309 |
PhD Research Seminar By Simone Tassani Statistical course and Design of Experiments - course composed on 6 2-hour sessions The course of statistics aims to introduce a number of tools for master/Ph.D. students and post docs. The presented tools will play a role in planning many kind of studies, properly analyse the results and understand if data analysed by other researchers are or not reliable. Bio: Dr. Simone Tassani is senior researcher of the Multiscale and Computational Biomechanics and Mechanobiology (MBIOMM) team in the SIMBiosys group. |
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| APRIL | ||
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April, 21
15.30
55.309 |
Invited Research Seminar By Jorg Fachner TBA Bio: Dr. Fachner, since 2013 Professor for Music, Health and the Brain at Anglia Ruskin University in Cambridge, UK, is interested in translational issues of interdisciplinary research topics between medicine, humanities and music sciences. Starting in Germany 20 years ago, he has been working as a professional in the field of Music Therapy (MT) and brain research, was and is active in EU and Academy of Finland MT research projects and serves on international MT advisory and policy boards. Studying Music Therapy processes, brain responses and treatment of depression, as well as consciousness states and time perception, his scientific output comprises over 100 publications in journals and books across disciplines. Recent projects, collaborations and publications focus on biomarkers, neurodynamics, timing and kairological principles of the MT process and effectiveness |
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