Roadmap Towards a Smart Campus - Presented by Juan Garbajosa Universidad Politécnica de Madrid juan.garbajosa at upm.es - Minds and Tech
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Roadmap Towards a Smart
Campus
Presented by Juan Garbajosa
Universidad Politécnica de Madrid
juan.garbajosa at upm.esUniversidad Politécnica de Madrid
CIVIL
INDUSTRIAL
Created in year 1971, merging
ARCHITECTURE
AERONAUTICAL
200-years’ old schools
FORESTRY
AGRICULTURE
18 Technical Schools
MINING
NAVAL
56 Academic Departments
TELECOM
COMPUTER SCIENCE
18 Research Institutes
OTHERS
30.000 Bologna std. 4.200 Master std. 42 Bachelor Programs 3.000+ Faculty staff
3.500 Eng. std. 3.000 PhD std. 92 Master Programs 2.000+ Admin staff
42 PhD Programs 800+ R&D supp. staff
Master & PhD Disciplines
Architecture & Urban Planning, Biotechnology, Sport Sciences, Management & Business, Aerospace &
Naval Eng., Mining Eng., Agro-forestry Eng. and Environment, Civil Eng., Industrial Eng. (Mechanical,
Electric, Energy, Chemistry), Information & Communication Technologies (Electronic, Software,
Telecoms, AI, IoT), Materials Eng., Fashion TechUPM Campus SUR Schools Computer Systems Engineering Telecommunications Systems Engineering Land Surveying, Geodesy and Mapping Engineering Fashion Design of Madrid
UPM Campus SUR
Schools
Computer Systems
Engineering
Telecommunications
Systems Engineering
Land Surveying,
Geodesy and Mapping
Engineering
Fashion Design of
MadridContext: research
objectives and
drivers in
perspective
Esta foto de Autor desconocido está bajo licencia CC BY-NC-NDResearch Lines and Drivers
Collective
Social Research ----- >
Intelligence
Artificial intelligence
(Under) Graduate Students as Research Subject
Emergent Energy Efficiency in Smart Grids and Smart Cities
Ground Systems Testing
Lines
2000 2020
Drivers
Cyber-Physical Systems Validation Tools and Environments
Cyber-Physical Systems Architecture + Social Internet of Things
Agile, Software Factories, and InnovationResearch Lines and Drivers
Collective
Social Research ----- >
Intelligence
Artificial intelligence
(Under) Graduate Students as Research Subject
Emergent Energy Efficiency in Smart Grids and Smart Cities
Ground Systems Testing
Lines
2000 2020
Drivers
Cyber-Physical Systems Validation Tools and Environments
Cyber-Physical Systems Architecture + Social Internet of Things
Agile, Software Factories, and InnovationEnergy
Efficiency as a
driver
Esta foto de Autor desconocido está bajo licencia CC BY-SADigital Home
Digital Home
Digital Home
Intelligent Distributed Data Acquisition Platform
Artificial Intelligence? Yes!!
But, Where are People Gone?
Meter Data Management for Smart Monitoring Power Networks. A.
Yagüe, J. Garbajosa and M. Lopez-Perea. Ercim News. January, 2013Smart Grids Waves
DEMAND RESPONSE Europe
PEOPLE DECISIONS MATTER Acumulated 3ª Wave
Investment DR
IT IS IMPORTANT TO CONSIDER THESE DECISIONS
2ª Wave
T&D
1ª Wave
AMI
Current date 2020
AMI Advanced Metering Infrastructure T&D Transmission & Distribution DR Demand ResponsePower
Generation
for Peninsula
(Spain)
September 10, 2019
Wind Power
https://demanda.ree.es/visiona/peninsula/demanda/acumulada/2019-09-10Power
Generation
for Peninsula
(Spain)
September 28, 2019
Wind Power
https://demanda.ree.es/visiona/peninsula/demanda/acumulada/2019-09-28Power Demand for Peninsula (Spain) July 07, 2019 https://demanda.ree.es/visiona/peninsula/demanda/total/2019-07-07
Esta foto de Autor desconocido está bajo licencia CC BY-SA-NC Esta foto de Autor desconocido está bajo licencia CC BY-SA
Social Research within a
Software Factory as a
DriverCommunication within international teams: UPM, U of Helsinki, U of Oulu, U of Bolzano…
Participatory Decision making
Focusing Research on People needs
Focusing Research on People needs
Focusing Research
on People Needs
CPS-PSAP112
https://www.youtube.com/watch?v=GsTaErTSpzUEnergy Eficiency and Crowds
UPM Campus Sur
and more
Esta foto de Autor desconocido está bajo licencia CC BY-NDSome Engineering
workMonitoring BUCS Why and How
Monitoring
Atlantic Copper
Room
Mining and Energy
Engineering SchoolWhy the Atlantic Copper Room was empty that day
And the Hardware/Software Tools Behind Esta foto de Autor desconocido está bajo licencia CC BY-SA Esta foto de Autor desconocido está bajo licencia CC BY-SA-NC
Variables Monitoring, Yes!! People?? Artificial Intelligence??
Collective Intelligence??http://oa.upm.es/56084/
People, Campus,
Social Networks,
and Social
Internet of Things
http://oa.upm.es/56084/Thinking
Collectively
Based on Fig 1 of B. Guo, Z. Yu, X. Zhou and D. Zhang, http://oa.upm.es/56084/
"From participatory sensing to Mobile Crowd Sensing,"
2014 IEEE International Conference on Pervasive
Computing and Communication Workshops (PERCOM
WORKSHOPS), Budapest, 2014, pp. 593-598.http://oa.upm.es/56084/
http://oa.upm.es/56084/
http://oa.upm.es/56084/
https://www.youtube.com/watch?v=2IBFR7jaTcQ&feature=youtu.be
Some Conclusions
• The roadmap to Smart Campus is full of winding roads
• People are not just stakeholders, they are more than that!
• Artificial Intelligence provides systems with new “dimensions” as it
can enable systems with new (emergent) behaviours
• To implement Artificial Intelligence solutions often require of new
ways of thinking and help pave the way for disruption
• Collective Intelligence is a new dimension in itself
• Collective Intelligence in applications/systems brings disruption
• How to combine AI and CI? Good question!
Esta foto de Autor desconocido está bajo licencia CC BY-NC-NDEsta foto de Autor desconocido está bajo licencia CC BY-SA-NC
Acknowledgements I am indebted to all my colleagues and former members from the SYST UPM group who always keep driving regardless the state of the road. This can be extended to my colleagues from the CITSEM Research Center. I am also indebted David Pastor, Julio Lumbreras and Sara Romero from ITD UPM for their insights, and the fruitful discussions about how to get the best from Collective Intelligence together with Artificial Intelligence. The work reported within this presentation has been partially funded by the project Crowdsaving TIN2016-79726-C2-1-R.
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