Damiano Varagnolo
ongoingPAIGE - Pelvic floor activation through gamified exercising
Duration: from 2018-06 to 2019-05 Funding body: LTU's gamification funds Aim: understand how to gamify the experience of performing Kegel exercises, so to transform it into an engaging and compelling experience, combining wearable and wirelessly connectable vaginal pressure sensors and ad-hoc mobile games. Developing CITE, a Concept Inventory Tool for Engineering
Duration: from 2017-09 to 2019-08 Funding body: LTU's pedagogical development funds Aim: develop and pilot a concept inventory tool for assessing engineering students’ acquisition of important concepts and program goals of the Electrical Engineering program (see also the related standing presentation). Sendate Extend
Duration: from 2016-04 to 2019-03 Funding body: Eureka Celtic Plus Aim: Improve the efficiency and flexibility of datacenters’ operations through novel strategies on how to perform deployment, monitoring, operations, maintenance and management of storage, compute, communication and energy supply within datacenters and in a distributed cloud. Liquid Networks - Liquid-cooled datacenters networks as enablers of infrastructural synergies
Duration: from 2018-03 to 2019-02 Funding body: Norrbottens Forskningsråd Aim: develop theories and algorithms to coordinate the operations of liquid-cooled datacenters with the ones of electrical power plants and district heating networks, so to move electricity and heat recovered from these datacenters where and when needed. Maximizing natural convection effects in submerged liquid cooling systems
Duration: from 2014-01 to 2016-12 Funding body: LTU's Smart Machines and Materials research area Aim: develop methodologies for designing and operating submerged liquid cooling systems so to maximize the natural convection effects within the cooling vessels. past (since 2014)AutoMod-Pre - Automated Model Generation for Industrial Processes
Duration: from 2017-10 to 2018-03 Funding body: SIP PiiA - Process Industrial IT and Automation Aim: investigate the feasibility of automated model generation for industrial processes using a combination of a-priori process knowledge, data from SCADA/DCS systems, and information sources representing the physical properties of the process. DISTRACT - Distributed Optimization and Estimation for Synergic Automatic Control
Duration: from 2015-03 to 2018-02 Funding body: Norrbottens Forskningsråd Aim: developing novel distributed optimization and estimation algorithms, and tailoring the results for controlling complex and geographically distributed processes. Applications are, among others, in the efficient control of power consumptions in networks of datacenters and buildings. Green Power - Using datacenters’ waste heat
Duration: from 2016-03 to 2017-08 Funding body: Energimyndigheten Aim: measure and model the heat fluxes from existing datacenters, and assess the various possibilities of using this waste heat as a source for industrial and food processes. Jilin C1
Duration: from 2014-01 to 2016-12 Funding body: Energimyndigheten Aim: development of optimal regulation algorithms for the efficient combustion of ash-rich biomasses Control Oriented Computational Fluid Dynamics
Duration: from 2014-01 to 2016-12 Funding body: LTU's Smart Machines and Materials research area Aim: find algorithms for the automatic reduction of fluid dynamics models into control oriented models |