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Publications associées (28)

Design and experimental investigation of a herringbone grooved gas bearing supported turbocharger

The design of an oil free turbocharger supported on herringbone grooved gas bearing was formulated as a multi-objective problem, which was solved by coupling a reduced order parametric model for gas bearing supported rotors with an evolutionary algorithm. ...

2023

Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism

Daniel Gatica-Perez

The extractive logic of Big Data-driven technology and knowledge production has raised serious concerns. While most criticism initially focused on the impacts on Western societies, attention is now increasingly turning to the consequences for communities i ...

Sage Publications Inc2023

Safety in Numbers: Asymptotic Analysis of a Monitoring Problem

Emre Telatar, Reka Inovan

In this work, we introduce a setup where a monitoring entity attempts to distinguish a cheating player among a group of regular players where all players behave in order to maximize their reward. We assume that the cheating player has an "information advan ...

IEEE2022

Nonlinear Inverse Problems in Quantitative Phase Imaging

Thanh-An Michel Pham

The topic of this thesis is the development of new algorithmic reconstruction methods for quantitative phase imaging (QPI). In the past decade, advanced QPI has emerged as a valuable tool to study label-free biological samples and uncover their 3D structur ...

EPFL2022

The Role of Biowaste: A Multi-Objective Optimization Platform for Combined Heat, Power and Fuel

François Maréchal, Julia Granacher, Rafael Amorim Leandro De Castro Amoedo

Biomass, bioenergy and negative emission technologies are inherent to the future design of energy systems. Urban clusters have a growing demand for fuel, heat and electricity, which is both a challenge and an opportunity for biomass-based technologies. The ...

2021

iPool--Information-Based Pooling in Hierarchical Graph Neural Networks

Pascal Frossard

With the advent of data science, the analysis of network or graph data has become a very timely research problem. A variety of recent works have been proposed to generalize neural networks to graphs, either from a spectral graph theory or a spatial perspec ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

Pascal Fua, Mateusz Kozinski, Doruk Oner, Leonardo Citraro

We propose a novel, connectivity-oriented loss function for training deep convolutional networks to reconstruct network-like structures, like roads and irrigation canals, from aerial images. The main idea behind our loss is to express the connectivity of r ...

2022

Sustainability as a Competitive Tool for the Brave? Or for the Best? A Behavioral Theory Perspective

Lorenzo Massa

Who invests in sustainability as a strategic choice? We adopt a behavioral theory perspective to explain the heterogeneity of sustainability-driven investments. Building on problemistic search and organizational inertia arguments, and contrary to resource- ...

SAGE PUBLICATIONS INC2020

Control Strategy for the Discharge Phase of an Ultra-High Voltage (>7kV) Bi-Directional Flyback Converter Driving Capacitive Actuators

Yves Perriard, Alexis Boegli, Raphaël Johannes Charles Mottet

Dielectric Elastomer Actuators (DEAs) require ultra high voltages in the order of several kilo volts to operate. To supply such voltages, a DC-DC flyback converter topology was selected. One of the main advantage of using such a structure is the possibilit ...

IEEE2020

Site-Specific Protein Conjugation onto Fluorescent Single-Walled Carbon Nanotubes

Ardemis Anoush Boghossian, Vitalijs Zubkovs, Shang-Jung Wu, Nils Schürgers

Semiconducting single-walled carbon nanotubes (SWCNTs) are among the few photostable optical emitters that are ideal for sensing, imaging, drug delivery, and monitoring of protein activity. These applications often require strategies for immobilizing prote ...

2020

Occupant health & well-being in green buildings: Trends and Future Directions

Dusan Licina

Expectations for high performance green buildings have been evolving over the last four decades. Green certification systems define, recognize, and demonstrate leadership in addressing building problems related to people and the environment. These systems ...

2019

Strategic advantages of reactive polyiodide melts for scalable perovskite photovoltaics

Michael Graetzel

Despite tremendous progress in efficiency and stability, perovskite solar cells are still facing the challenge of upscaling. Here we present unique advantages of reactive polyiodide melts for solvent- and adduct-free reactionary fabrication of perovskite f ...

Nature Publishing Group2019

Weak teachers: assisted specification of discrete choice models using ensemble learning algorithms

Timothy Michael Hillel

Discrete Choice Models (DCMs) have a distinct advantage over Machine Learning (ML) classification algorithms, in that they employ a highly interpretable linear structure. However, a key drawback of DCMs compared to ML is the need to specify the utility fun ...

2019

Dynamic Learning in Markets: Pricing, Advertising, and Information Acquisition

Thomas Alois Weber

In the face of demand uncertainty, a monopolist can observe sales as a controlled reaction to its price and advertising so as to improve the choice of this marketing mix in the future. Furthermore, to upgrade its knowledge about demand the firm has the opt ...

2019

Economic complexity unfolded: Interpretable model for the productive structure of economies

Fernando Perez Cruz

Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. It resides on the premise of hidden capabilities-fundamental endowments underlying the productive structure. In general, measuring the capabili ...

2018

Understanding the Information-Based Transformation of Strategy and Society

Thomas Alois Weber

The world economy is undergoing dramatic changes, largely driven by the new availability of fine-grained information. Innovative ways of using datalarge and small-have also prompted a rethinking of the boundaries for the combination and use of knowledge. T ...

Routledge Journals, Taylor & Francis Ltd2017

Trust, integrated information technology and new product success

Christopher Tucci

Purpose - The purpose of this paper is to investigate the combined roles via trust relationships of the two technology cores of the firm: information technology (IT) and R& D and their impact on new product success. Design/methodology/approach - A model wa ...

Emerald2017

Distributed Optimization with Arbitrary Local Solvers

Martin Jaggi

With the growth of data and necessity for distributed optimization methods, solvers that work well on a single machine must be re-designed to leverage distributed computation. Recent work in this area has been limited by focusing heavily on developing high ...

Taylor & Francis Ltd2017

The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes

Gökan May

The successful development and deployment of adequate sustainable manufacturing strategies are still open issues and of utmost interest for research and practice. Guided by this particular challenge, we investigate the significance of organisational change ...

Taylor & Francis Ltd2017

A Robust Active Damping Control Strategy for an LCL-based Grid-connected DG Unit

Alireza Karimi

The connection of a DG unit to a weak power system is challenging due to stability issues resulted from dynamic interactions between the DG unit and the grid. LCL-based DG unit is a particularly challenging case due to the presence of a high resonant peak ...

Institute of Electrical and Electronics Engineers2017