Scaling Distributed Machine Learning with In-Network Aggregation
Marco Canini, KAUST: King Abdullah University of Science and Technology – Abstract: Training complex machine learning models in parallel is an increasingly important workload. We accelerate distributed parallel training by designing a communication primitive that uses a programmable switch dataplane to execute a key step…
Data processing methodologies in the area of E-Health for categorizing therapeutic responses in patients with migraine
, – Abstract: Migraine is a chronic disease that affects the daily development of activities of people around the world. To alleviate the symptoms, OnabotulinumtoxinA (BoNT-A) has solid proven evidence for their use according to various works and clinical trials. Nowadays, it is known that…
Reactive Boolean Networks
Daniel Figueiredo, Universidade de Aveiro – Abstract: In the context of biological regulatory networks, the connection between Piecewise-linear (PWL) models and Boolean networks is well-known, since Boolean networks can be seen as simplifications of PWL models. However, due to the abstraction of BN models, some…
Biomechanical Analyses of Human Movement Aimed at Improving Rehabilitation Outcomes
Richard Neptune, University of Texas at Austin – Abstract: The human neuromusculoskeletal system is exceedingly complex due to highly nonlinear multi-body dynamics and musculotendon actuators, and redundant muscle control that isn’t well understood. As a result, gaining insight into normal and pathological movement remains a…
Comprehending Energy Behaviors of Java I/O APIs
Gustavo Pinto, Federal University of Pará, Brazil. – Abstract: APIs that implement I/O operations are the building blocks of many well-known, non-trivial software systems. These APIs are used for a great variety of programming tasks, from simple file management operations, to database communications and implementation…
Seminar – Personhood Online: Identification-Free Identities and Digital Citizenship via Proof-of-Presence
Bryan Ford, EPFL – École Polytechnique Fédérale de Lausanne – Abstract: Numerous fundamental weaknesses of our online ecosystem derive from its inability to distinguish securely between real people and fake identities. Social botnets, fake news, anonymous trolling, astroturfing, deep fakes, sock puppetry, online poll and…
‘Gielis Transformations in design and engineering’
Johan Gielis, University of Antwerp, Bio-Engineering Sciences – Abstract: Gielis Transformations in design and engineering Gielis’ Transformations (a.k.a. Superformula) are a generalization of the Pythagorean Theorem. It not only defines the circle, as Pythagoras does, but circles, polygons, starfish, shells, flowers, or superquadrics….; an infinite…
“Photovoltaic Optiverter – A Novel Hybrid MLPE Technology for Residential and Small Commercial Photovoltaic Applications“ by Dmitri Vinnikov
Dmitri Vinnikov, – Abstract: Abstract: In this presentation a novel approach to photovoltaic (PV) module level power electronics called OPTIVERTER (PVOPT) will be introduced and discussed. Functionally, it is a hybrid of PV power optimizer and PV microinverter with such key features as shade-tolerant (or…
Algorithm/Architecture Co-design for Smart Signals and Systems in Cognitive Cloud/Edge
Gwo Giun Chris Lee, National Cheng Kung University (NCKU) – Abstract: Niklaus Emil Wirth introduced the innovative idea that Programming = Algorithm + Data Structure. Inspired by this, we advance the concept to the next level by stating that Design = Algorithm + Architecture. With…
Conflict-free Replicated Data Types: An Overview
Nuno Manuel Ribeiro Preguiça, Universidade Nova de Lisboa – Abstract: Internet-scale distributed systems often replicate data at multiple geographic locations to provide low latency and high availability, despite node and network failures. Geo-replicated systems that adopt a weak consistency model allow replicas to temporarily diverge,…
Francisco António Chaves Saraiva de Melo: “Agregação” (Habilitation) in Computer Science and Engineering
Francisco António Chaves Saraiva de Melo, INESC-ID researcher within the Artificial Intelligence for People and Society Research Area and Associate Professor at the Department of Computer Science and Engineering of Instituto Superior Técnico, will present a course unit report and a seminar in order to be awarded his Agregação (Habilitation) in Computer Science and Engineering on 30th and 31st May 2022.
Francisco Melo will present the course unit report titled Planning, Learning, and Intelligent Decision Making at 9am on 30th May 2022 (available on Zoom), followed by the seminar Reinforcement learning: A dynamical systems viewpoint at 9am on 31st May 2022 (available on Zoom).
2nd RiverCure Workshop
Location: Meeting room of Department of Civil Engineering, Civil Engineering Building, Instituto Superior Técnico, Alameda Campus.
9:00 – 9:10 Welcoming attendants
9:10 – 9:30 Overview of the project and main outputs (Rui Ferreira)
9:30 – 9:45 Mathematical modelling – HiSTAV shallow water solver (Daniel Conde)
9:45 – 10:00 Laboratory observatory – tools (Luís Mendes/Rui Ferreira)
10:00 – 10:15 Laboratory observatory – lab models (Rui Aleixo/Rui Ferreira)
10:15 – 10:30 Break
10:30 – 10:45 Field observatory – tools (Bruno Martins)
10:45 – 11:00 Field observatory – February 2016 and December 2019 floods, Rio Águeda (Rodrigo Oliveira)
11:00 – 11:20 The RiverCure portal – Conception and implementation (Alberto Silva)
11:20 – 11:40 The RiverCure portal – Applications (Ana Margarida Ricardo/Alberto Silva)
11:40 – 12:30 Discussion and Ending
RiverCure is a partnership of Agência Portuguesa do Ambiente, INESC-ID and IST-ID.
Support: APRH – Comissão Especializada em Hidráulica Fluvial
Funding: Fundação para a Ciência e a Tecnologia (FCT) RiverCure: Curating and assimilating crowdsourced and authoritative data to reduce uncertainty in river flow modelling. PTDC/CTA-OHR/29360/2017
Further details on the RiverCure project are available here.