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Presentation of the IMU / ICCS lab


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Presentation of the research activities of IMU (Information Management Unit) a multi-disciplinary research lab of the Institute of Communication and Computer Systems (ICCS) at the National Technical University of Athens, Greece.


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Presentation of the IMU / ICCS lab

  1. 1. enabling the knowledge organization IMU is a research unit of ICCS Institute of Communication and Computer Systems of the National Technical University of Athens information management Unit
  2. 2. Institute of Communication & Computer Systems • Research Institute – associated to the Department of Electrical & Computer Engineering (DECE) of the National Technical University of Athens (NTUA), the oldest and most prestigious educational institution of Greece in the field of technology • Established in 1989 by the Ministry of Education and NTUA • Carries out RTD activity in the fields of – Computer and telecommunications systems and techniques – their applications in a variety of domains • The active research personnel of ICCS consist of – 80 faculty of DECE/NTUA, 25 senior researchers and more than 250 researchers • ICCS is active in basic and industrial research activities – ICCS ranked with the top 100 Horizon 2020 champion players (2014-2016) ICCS 2 January 2020
  3. 3. IMU - Information Management Unit • IMU is a multi-disciplinary unit engaged in research and technology development activities in Information Technology Management. • Our mission is to enable the development of knowledge-driven organisations • We design, develop and validate innovative models, methods and tools that leverage the creation, sharing and use of information and knowledge at the individual, team and organisational levels n IMU is a member of: n Big Data Value Association (BDVA) , a fully self-financed non–for-profit organization, which aims to boost European Big Data Value research, development and innovation and to foster a positive perception of Big Data Value n NESSI the European Technology platform dedicated to Software and Services ICCS 3 January 2020
  4. 4. Meet the team • Three (3) faculty – Professor in Information Technology Management – Associate Professor in Decision Support Systems – Assistant Professor in Management Information Systems • Seven (7) senior researchers – post-doctoral researchers • Ph.D.s in Electrical and Computer Engineering • and post-graduate diplomas in: – Business Administration and – Information Technology • Twelve (12) researchers and PhD students – with diploma degrees in engineering and post-graduate diplomas in: • Business Administration • Information Systems • Computer Engineering • Telecommunications ICCS 4 January 2020
  5. 5. Research areas n Compute: from the Cloud to the Edge Ø Cloud service modeling and management Ø Resource allocation in hybrid environments Ø Real-time event-driven service management Ø Security and privacy in cloud environments Ø Context awareness and situation management n Decide: from Intelligence to Proactivity Ø Mathematical programming, simulation and optimization Ø Multiple Criteria Decision Making Ø Probabilistic, fuzzy and linguistic techniques Ø Information aggregation and prediction markets Ø Crowdsourcing and human computation 5 n Analyse: from data to insight Ø Data and knowledge discovery, sharing and exchange Ø Machine learning and prescriptive data analytics Ø Personalization and recommender Systems Ø Data harmonization and semantic interoperability Ø Linked Open Data and FAIR data management ICCS January 2020
  6. 6. Application domains 6 January 2020 Factories of the future Smart manufacturing Supply chain management Predictive maintenance Quality management Electronic governance E-participation & e-consultation Citizen-centric services Policy modeling Citizen engagement Digital health and well-being Innovative healthcare Mobile health management Personalised nutrition Secure e- health data exchange Digital innovation E-learning and knowledge management Idea management Open innovation Social creativity support Sustainable and green economy Smart and green mobility Digital solutions for water management ICT-enabled energy efficiency Behavioural change support
  7. 7. Research activities • Since its establishment IMU contributed actively in fifty three (53) research and development projects – Forty five (45) projects were completed during the 1997-2017 period – Eight (8) projects are active during the 2018-2020 period • The total funding of IMU since 1997 exceeds 14,0 million euros n Our work is funded by these programs and institutions: Ø Horizon 2020 (previously FP5, FP6, FP7) the research Framework Programs of the European Union Ø Operational Program for the Information Society of the Greek Ministry of Economy and Finance Ø Research programs of the General Secretariat for Research and Technology of the Greek Ministry of Development 7ICCS January 2020
  8. 8. Indicative Research Work 8 January 2020
  9. 9. ”Small” and “Big” Data-driven Behavioral Change n We use Personal and Collective Big Data… Ø Urban sensing, resource consumption, environmental sensors aggregate social media data Ø Quantified self data § self-tracking of biological, physical, behavioral, or environmental information § IoT and wearable sensors, mobile apps, online communities 9 January 2020 n … to support behavioral change Ø for sustainability and well being § Indicative domains: health, diet, exercise, energy efficiency, waste reduction, green mobility, water conservation Ø delivering timely, personalized and context aware interventions Ø coupling data science, HCI and psychology research § machine learning, personalization & recommendation systems § intelligent user interfaces and visualizations § persuasive techniques (rewards, goal-setting, social comparison, choice architecture, suggestions, self-monitoring)
  10. 10. Optimising Data-intensive multi-Cloud computing 10 January 2020 n Cloud Computing & data-intensive applications Ø Research topics § Cloud service brokerage, resource allocation, location- aware processing, security and privacy in hybrid multi- cloud environments Ø Software and open-source frameworks § Intelligent recommenders, Multi-Criteria Decision Making approaches, Probabilistic, fuzzy and linguistic preference modelling systems § PULSAR, Data-intensive reasoners and adaptation managers Ø Indicative data-intensive application areas § xRM (anything Relationship Management), crisis management, genome data analysis
  11. 11. IoT Big Data at the Edge & the Cloud 11 January 2020 Ø Example data-intensive application areas § Logistics management, mobile journalism, UAVs security video feed mgmt. n Fog Computing & Big-data Ø Research topics § Event-driven situation management, context-aware adaptation, cluster and edge resources management Ø Software and open-source frameworks § Situation awareness, Situation Action Networks, Event subscription, ESR, SAR, application fragmentation and deployment recommenders
  12. 12. Big Data-driven Smart Factories n Turn big manufacturing data into insights… Ø Integrate predictive analytics in operational processes to § fuel continuous situation awareness § predict what is likely to happen § recognize possible undesired situations (e.g. breakdowns) § before these actually happen 12 January 2020 n …and use them for proactive decision making Ø Advanced probabilistic decision methods to § alter the likelihood that undesired situations will occur § and/or mitigate their effect § by intervening prior to their occurrence § proactively recommend what action to take and when
  13. 13. Collective Intelligence 13 January 2020 n Collective action and crowdsourcing Ø Research topics § Hybrid human and agent computation, probabilistic belief modelling Ø Example application areas § Macro-economic and environmental policy modelling, citizen participation Ø Software (and related Projects) § Policy Oracle (SYMPHONY) n Prediction markets Ø Research topics § Information aggregation, opinion aggregation Ø Example application areas § Event prediction, preference aggregation Ø Software (and related Projects) § IDEM (LABORANOVA), SPEAR
  14. 14. Intelligent Decision Making 14 January 2020 n Multi-criteria decision making Ø Research topics § Multiple Criteria Decision Making, Probabilistic, fuzzy and linguistic preference modelling Ø Example application areas § Enterprise management, Open Innovation, Ø Software (and related Projects) § Broker@Cloud, Laboranova n Probabilistic decision systems Ø Research topics § Real-time event-driven systems, Markov decision processes, Bayesian networks Ø Example application areas § Prognostic manufacturing, condition-based maintenance Ø Software (and related Projects) § PANNDA (ProaSense)
  15. 15. Knowledge Management 15 January 2020 n Knowledge codification and sharing Ø Research topics § Ontology engineering, Folksonomies, Linked Open Data Ø Example application areas § Process-aware enterprise knowledge management, e-government Ø Related Projects § KnowNet, DÉCOR, SAKE, FIT, Organik n Collaboration Pattern Management Ø Research topics § Virtual enterprise collaboration, cross-enterprise workflow management Ø Example application areas § Product development, logistics Ø Software (and related Projects) § CPA + Companion ontology (SYNERGY)
  16. 16. Indicative Software Results (1 of 2) • The Service Adaptation Recommender is an Aspect-Oriented Programming method and tool for situation-aware adaptation of BPMN2.0 workflows. – • Pulsar is a multi-criteria decision making tool for assessing and ranking cloud services. – PuLSaR builds upon fuzzy Analytical Hierarchy Process providing an expressive and unified way to capture and process user preferences (both precise and imprecise) – • Merit is a quality reporting tool, which enables a multi-faced view of quality of e- government services. MERIT is based on a quality of e-government services (QeGS) model. – • Stardom is software developer profiling tool that builds a developer’s competence model when working in IDEs such as Eclipse. – • Cruise is an exploratory search tool that explores the Web and other information repositories for inspirational information. It combines diversification of content and sources with a visual user interface that lets the users interactively explore the Web and other linked information spaces. – 16 January 2020
  17. 17. Indicative Software Results (2 of 2) • Spear is an agent-based prediction tool that employs artificial agents that exploit user- generated content available in social media and use it to help agents make informed transactions in virtual markets and through theme generate accurate predictions about future events. – • CPA (Collaboration Patterns Assistant) is a software application that supports pattern- based team collaboration. – • Organik is a Drupal-based enterprise social platform which utilizes Web 2.0 technologies to stimulate participation through informal interactions and aggregates these interactions into collective structures. – • IDEM is an information aggregation market (aca prediction market) that is especially developed for innovation and idea management. – IDEM supports the whole lifecycle of idea generation and evaluation. – 17 January 2020
  18. 18. Publications and dissemination activities n more than 50 papers in international peer-reviewed journals and 4 books n more than 150 articles in international conferences n co-organised ten (12) conferences, workshops and symposia n more than 80 presentations in seminars and articles in popular magazines Knowledge Management for Competitive Advantage in the Digital Economy 18 January 2020
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