Call for Open PhD Position!
We have an open PhD position @UniSiegen on "Designing for energy efficient and sufficient domestic consumption practices". The detail can be found here:
jobs.uni-siegen.de/job/Resea…
Deadline to submit your applications is 20.12.2022.
@GeckoItn
Check out a short introduction to @GeckoItn in the @CfoatArainn (Aran Islands Energy Co-Op) September's newsletter!
(@ChiaraTellarini is one of the 15 PhD students of the @GeckoItn currently in a secondment at Aran Islands)
#energy #cleanenergy #islands #energysavings #msca
mailchi.mp/c18c60906762/cfoa…
The @CfoatArainn newsletter for September is out! You can read much interesting stuff: the meeting we had on Inis Meáin for clean energy on islands; energy saving tips; an intro to @GeckoItn; and much more! Check it out :)
GECKO_ITN retweeted
Proud to contribute with a chapter in the popular science anthology on energy, which was released today. My chapter is about homes in the smart grid. @LinaBertling @bjornh @MiCriRi @GeckoItn @vetenskapoallm v-a.se/2022/07/towards-the-e…
GECKO_ITN retweeted
A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring | Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments dl.acm.org/doi/10.1145/35291…
GECKO_ITN retweeted
Amazing days spent at the @GeckoItn Summer School hosted by @UniSiegen, where fruitful & informative presentations and discussions on AI and sustainability took place together with deep bonding opportunities
Day 1 of the @GeckoItn Summer School:
1) Rapid Prototyping for #Datacollection and #visualization
2) Empathy session
3) Industry Keynote A21-A design-(Co)-driven innovation project in #AI for medical applications
4) Practice theory for #sustainability
GECKO's 2nd training event "Summer School", which is co-hosted by @Fraunhofer_FIT and @UniSiegen, has begun at Siegburg, Germany. Looking forward to have a productive event!
The new paper by Tamara Todic et. al. on quantification of dairy farm energy consumption to support the transition to sustainable farming got accepted for the @IEEESmartComp
Full list of GECKO publications: gecko-project.eu/publication…
🦎
A great collaboration of ESR15 (Christoforos Menos-Aikateriniadis) with Ilias Lamprinos and Pavlos S. Georgilakis from ICOM and @ntua led to a first journal publication as part of the MSCS GECKO Innovation and Training Network.
Full paper is here: mdpi.com/1996-1073/15/6/2211
A great collaboration of ESR2 (Apostolos Vavouris) with @LinaStankovic , @stankovic_vlad, and Benjamin Garside from University of Strathclyde, led to a first Journal Publication as part of the MSCS GECKO Innovation and Training Network. Full paper here: mdpi.com/1996-1073/15/6/2200…
Our design sprint week with ESRs from FIT, Aalborg Uni and USIG was concluded on last Friday.
Day 1: Empathy Building
Day 2: Workshop with Open.INC about sensors & data visualization
Day 3: Ideation & Sketching
Day 4: Video Prototyping
Day 5: Concluding session
Yesterday's second day of the design sprint held by @UniSiegen. Had a practical session, initially introducing sensors that could be used for connected home technologies and secondly the procedure of connecting the sensors to the online dashboard of opendash provided by FIT.
Start of the design sprint week, hosted by @UniSiegen, together with ESRs from FIT and Aalborg University. Working on heating practices, data segmentation, analysis & interpretation & creation of user personas, with a fruitful combination of qualitative and quantitative methods.
Meet Christoforos!
Take a look at what led him here and what he will be working on in GECKO.
🦎
youtube.com/watch?v=LQzyRRa3…
Meet Shajalal, ESR13 at Fraunhofer Institute for Applied Information Technology!
🦎
youtube.com/watch?v=5dNFeb9M…
Our second ESR from Iran, Somayeh! 🇮🇷
Take a look at her history in the field of computer science and what she will be working on in GECKO.
🇪🇺 🦎
youtube.com/watch?v=CFvMsfeG…
Hello! I’m @djordje_batic from Serbia. As ESR1 @UniStrathclyde, I will be conducting research in explainable and interpretable machine learning with a goal of facilitating trust and accountability of AI systems and investigating causality in domestic energy consumption.



















