Alberto Abad was elevated to senior member of IEEE
According to IEEE – Institute of Electrical and Electronics Engineers, “Senior Membership is an honor bestowed only to those who have made significant contributions to the profession”.
“It’s an honor for me to receive such a recognition from IEEE. The area of human language technologies and speech processing, in which I have been involved for more than 15 years, presents very interesting challenges and applications. I hope this recognition can contribute to promote this area among students, among the local scientific community and also to promote the work we do in INESC-ID and Técnico. I’m very happy to be able to continue contributing every day”, mentioned Alberto Abad.
A recognition to the researcher of his peers for technical and professional excellence.
Alberto Abad is an Assistant Professor at the Department of Computer Science and Engineering (DEI) of Instituto Superior Técnico (IST) and researcher at INESC-ID. He is the coordinator of the Human Language Technologies laboratory at INESC-ID and the executive coordinator of the scientific area of Programming Methodology and Technology at DEI. He is also an ISCA member and he has been recently elevated to the grade of IEEE Senior member in recognition for his significant contributions.
Alberto Abad has developed his research career in the area of human language technologies for more than 15 years. His research interests include robust speech recognition, speaker and language characterization, applied machine learning, health-care applications, and privacy-preserving speech processing and machine learning.
During these years, Alberto Abad has co-authored over 100 peer-reviewed publications in top-tier conferences and scientific journals of the field. He has been Principal Investigator of FCT funded project VITHEA and INESC-ID representative in the DIRHA European project, Biovisualspeech CMU-Portugal project, and TAPAS ITN. He has also been team member in various Spanish and Portuguese national and international projects, and team leader in international technological evaluation challenges achieving excellent results. He has supervised and co-supervised more than 20 MSc thesis and 1 PhD thesis and lectured in courses at both Technical University of Catalonia (UPC) and IST on a variety of topics, including signal processing, machine learning, programming principles, object oriented programming and compilers. Alberto Abad has been actively involved in research community activities, including conference organization, and closely collaborated with local industry and start-up companies.
OLISSIPO Twin Seminars on Computational Biology
Sparse regularization for multi-omics data
20th May 2021
13:00-14:30 (WEST – Lisbon) / 14:00-15:30 (CEST) (held online)
ZOOM link: https://videoconf-colibri.zoom.us/j/84981014599
No password or registration needed for this session
The Twin Seminars will contribute to disseminate the scientific work and expertise of INESC-ID and all the Olissipo Project Consortium that includes Inria, ETH Zürich and EMBL. These seminars will comprise two short presentations, one researcher from Lisbon and one from a twin international institution working on similar topics in Computational Biology. The seminars will be opened to everyone interested and will include a discussion to further promote the interaction between all the participants.
Regularized optimization has proved to be a promising and valuable strategy to solve regression problems in high-dimensional spaces by imposing constraints on the parameters. We will discuss novel methods beyond the classical elastic net that allows to include a priori knowledge, such as network-based information. The application to multi-omics patient data, from classification problems to survival analysis, illustrates the potential of sparse structured models for more interpretable and personalized medicine.
Susana Vinga, Instituto Superior Técnico (IST) and INESC-ID (Lisbon, Portugal)
Susana is an Associate Professor at IST (ULisboa) in a joint position at the Dept. of Computer Science and Engineering (DEI) and the Dept. of Bioengineering (DBE). She is a Senior Researcher at INESC-ID in the Information and Decision Support Systems lab, a member of the INESC-ID Board of Directors, and Vice-President of DEI. Prof. Vinga received a Mechanical Engineering degree (1999), a post-graduate degree in Probability and Statistics at IST, a Biomedical specialization at Politecnico of Milan, and a PhD degree in Bioinformatics (2005) at ITQB-UNL (Portugal). From 2006-2013, she was a researcher in the Knowledge Discovery and Bioinformatics group at INESC-ID and invited assistant professor of Biostatistics and Informatics at the Faculty of Medical Sciences. Between 2013-2018 she was a Principal Investigator at Mechanical Engineering Institute (IDMEC/IST). In 2010, she was granted the Young Research Award of the Technical University of Lisbon, and in 2017 she was awarded the Scientific Prize of ULisboa/CGD in the area of Computer Science and Engineering for the impact of her publications. Susana’s main scientific achievements are in the area of systems biology, with the development of models for the analysis of biological networks, and in computational biology and bioinformatics, where she is interested in data science and machine learning methods for the analysis of high-dimensional clinical data. Susana is the Principal Coordinator of the OLISSIPO Twinning Project.
Valentina Boeva, ETH Zürich (Zürich, Switzerland)
Valentina is a Tenure Track Assistant Professor of Biomedical Informatics at the Department of Computer Science of ETH Zürich (Switzerland). She was previously a group leader of the laboratory of Computational Epigenetics of Cancer at Inserm, located at the Cochin Institute in Paris, France (2016-2021). Prof. Valentina received a MSc degree in Applied Mathematics (2003) at Lomonosov Moscow State University (MSU) (Russia) and a PhD degree in Biophysics and Bioinformatics (2007) at MSU. From 2002-2006, she also worked at Inria (France) in sequence analysis algorithms and statistics of DNA motifs and from 2004-2007 in GosNIIgenetika developing statistical methods for DNA sequence analysis. Valentina also worked at Ecole Polytechnique (France) where she contributed to the analysis of cancer-related metabolic networks (2007-2008). Before joining the Cochin Institute in 2016, she worked for about seven years at the Curie Institute, also in Paris. First as a postdoc, then as a researcher scientist. Valentina was an ATIP-Avenir 2015 laureate and received the French Embassy Award in 2012. Her research focuses on understanding the role of epigenetic cancer drivers, and developing computational approaches to process multi-omics information to help clinicians make treatment choices for cancer patients based on genomic, epigenetic, transcriptomic, and other information.
Know more about Olissipo Project at https://olissipo.inesc-id.pt/
11th Lisbon Machine Learning Summer School
LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel and Cleverly.
Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020) and to watch the videos of the lectures (2016, 2017, 2018, 2020).
Call for Participation
* Application Deadline: May 15, 2021
* Decision: June 1, 2021
* Early Registration: June 15 – July 1, 2021
* Summer School: July 7 – 15, 2021
Topics and Intended Audience
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
- Researchers and graduate students in the fields of NLP and Computational Linguistics;
- Computer scientists who have interests in statistics and machine learning;
- Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
- No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming
- Lecturers are leading researchers in machine learning and natural language processing (see speakers)
- Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)
- The Labs guide will be provided one month in advance. Last year’s guide can be found here
- A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
- Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered
Due to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.
List of Confirmed Speakers
LUIS PEDRO COELHO Fudan University | China
MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | Portugal
ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
IRYNA GULEYVICH Technical University Darmstat | Germany
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SLAV PETROV Google Inc. | USA
XAVIER CARRERAS dMetrics | USA
GRAHAM NEUBIG Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
CHRIS DYER Google Deep Mind | UK
ELIAS BARENBOIM Columbia University | USA
ADELE RIBEIRO Columbia University | USA
STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | Germany
BARBARA PLANK IT University of Copenhagen | Denmark
SASHA RUSH Cornell Tech | USA
Please visit the webpage for up to date information: http://lxmls.it.pt/2021
To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
Any questions should be directed to: firstname.lastname@example.org.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.