Pervasive & Distributed Intelligence
The Pervasive & Distributed Intelligence (Essence) Research Lab is affiliated with the Research Section
Information, Data and Analysis (IDA)
in the School of Computing Science. The lab brings together the fundamental research areas:
(i) Predictive Computing, (ii) Network-centric Information Systems, and (iii) Distributed Intelligence.
The lab's strength lies in the spectrum of theoretical backgrounds
and applications ranging from Context-awareness, Stochastic Optimization, Intelligent Systems,
Distributed Statistical Learning to Mobile and Wireless Networking. Essence focuses on building
innovative context-aware networked data systems and applications.
Essence undertake research ubder the School's themes: Autonomous Systems
and Data Science.
The Essence lab's members collaborate with the Inference, Dynamics and Interaction (IDI)
group led by Prof Murray-Smith (IDA Section Head) as a source of Machine Learning expertise, and
with the Networked Systems Research Laboratory (Netlab) group ley by
Prof Pezaros (Glasgow Systems Section Head) as a source of Networking expertise.
Note: The Essence's logo is a regular dodecahedron, i.e.,
a polyhedron with twelve flat faces (Platonic solid),
whose coordinates derive from the multiplicative inverse of Pythagora's
golden ratio.
Research Areas & Outcome
Essence in a Nutshell
- Funded Projects:H2020/GNFUV; H2020/INNOVATE
- Outcome:Related publications
- Funded Project:EPSRC/CLDS
- Outcome:Related publications
- Funded Project:H2020/INNOVATE
- Outcome:Related publications
Ongoing Projects
- Methods: Machine Learning; Adaptive Control; Concept Drift. [Presentations & Tutorials]
- Methods: Learning Automata; Optimal Stopping Theory. [Presentations & Tutorials]
- Methods: Stochastic Optimization; Distributed Context-Reasoning; Statistical Learning. [Presentations & Tutorials]
- Methods: Federated/Local Learning Models; Optimal Stopping & Control Theory. [Presentations & Tutorials]
- Methods: Particle Swarm Optimization; Statistical Learning. [Presentations & Tutorials]
- Methods: Data Dissemination; Statistical Learning; Information Theory [Presentations & Tutorials]
Check for Postgraduate Research & PhD Opportunities. Contact: Dr Christos Anagnostopoulos
-
ACM Transactions on Internet Technology (ACM TOIT)
- Panagidi, K., Anagnostopoulos, C. , Chalvatzaras, A. and Hadjietfthymiades, S. (2019) To transmit or not to transmit: controlling the communications in the mobile IoT domain. ACM Transactions on Internet Technology (TOITs)
-
We are recruiting!
- Deadline: 08.01.2020
Permanent faculty openings (Lecturer, Senior Lecturer, Reader) at Glasgow's School of Computing Science: Advanced networking; Cyber Security; FinTech; Trustworthy Autonomous Systems
-
Journal article in Infromation. MDPI
- Alghamdi, I. A. I., Anagnostopoulos, C. and Pezaros, D. P. 'Delay-tolerant sequential decision making for task offloading in mobile edge computing environments'.
-
Journal article in Network and Computer Applications, Elsevier (IF: 5.273; JCR/2018)
- Anagnostopoulos, C. and Kolomvatsos, K.
'An intelligent, time-optimized monitoring scheme for edge nodes'
-
IEEE Big Data 2019; LA, 9-12 DEC 2019
- F. Savva, C. Anagnostopoulos, P. Triantafillou
'Aggregate Query Prediction under DynamicWorkloads'
-
Article in Computing (Springer)
- K. Kolomvatsos, C. Anagnostopoulos
'A probabilistic model for assigning queries at the edge'
-
IEEE Global Communications Conference 9-13 DEC 2019, Waikoloa, HI, USA Revolutionizing Communications
- Alghamdi, I. A. I., Anagnostopoulos, C. and Pezaros, D. P. 'On the Optimality of Task Offloading in Mobile Edge Computing Environments'.
Join our full paper presentation in GLOBECOM 2019 @ Hawaii!
-
12th International Conference on Internet and Distributed Computing Systems (IDCS 2019)
- Karanika, A., Soula, M., Anagnostopoulos, C. , Kolomvatsos, K. and Stamoulis, G. 'Optimized Analytics Query Allocation at the Edge of the Network'.
Join our full paper presentation in IDCS 2019 @ Italy
-
IEEE West European Student and Young Professional Congress (WESYP 2019)
- Anagnostopoulos, C. 'Next Generation Networked Systems: Virtualization, Programmability, Adaptability, Resilence, Intelligence'.
Join my Plenary Talk in IEEE WESYP 2019 @ Glasgow, Scotland
-
[Call for Papers] International Journal of Distributed Sensor Network
- Deadline: January 31, 2020
Special Collection on Distributed Artificial and Machine Intelligence in Evolving Sensor Networks
-
SIGMOD Student Research Competition
Congratulations to F. Savva on winning the 2nd place in SIGMOD 2019 SRC!
- F. Savva Query-Driven Learning for Next Generation Predictive Modelling & Analytics [PDF]
-
Applied Intelligence (Springer; Editorial News 2019)
Certificate awarded to C. Anagnostopoulos in recognition of continued commitment, prompt reviews, and excellent service to the International Journal of Applied Intelligence as an Editorial Board Member.
-
UCI ML Repository Dataset
[New] Query Analytics Workloads Dataset in UCI ML Repository [Dataset]
-
Special Issue Journal: Sensors (IF: 3.031)
Recent Advancement in Edge/Fog Computing for Intelligent IoT Applications Guest Editors: C Anagnostopoulos; K Kolomvatsos; D Pezaros [CFP]
-
European Research Council MSCA Meeting
Join our talk in ERC/MSCA Brussels 17-18, June 2019: 'AI in Europe'.
- Kolomvatsos, K., Anagnostopoulos, C., INNOVATE [PDF]
-
2019 ACM SIGMOD/POD; Amsterdam, NL
Poster presentation at ACM SIGMOD 2019.
- F. Savva Query-Driven Learning for Next Generation Predictive Modelling and Analytics [PDF]
-
SICSA PhD Conference 2019
Poster presentation at SICSA PhD Conference 2019, University of Stirling, 18-19 June 2019.
- I. Alghamdi, C. Anagnostopoulos, D. Pezaros. Time-Optimized Task Offloading Decision Making in Mobile Edge Computing
-
Internship: Grenoble INP Ensimag
We welcome Mr V Orru from U Grenoble Ensimag in Essence!
- Internship Research Topic:Application of Optimal Stopping Time in Large-scale Data Streams
-
2 x IEEE ISCC 2019 Papers
Join our paper presentations at IEEE ISCC 2019 Conference, Barcelona, Spain 2019.
- Sagkriotis, S., Anagnostopoulos, C., Pezaros, D. Energy Usage Profiling for Virtualized Single Board Computer Clusters.
- Sagkriotis, S., Kolomvatsos, K., Anagnostopoulos, C., Pezaros, D., Hadjiefthymiades, S. Knowledge-centric Analytics Queries Allocation in Edge Computing Environments.
-
IEEE ISPDC 2019 Paper
Join our paper presentations at IEEE ISPDC 2019 Conference, Amsterdam, 2019 (18th International Symposium on Parallel and Distributed Computing).
- E. Aleksandrova, C. Anagnostopoulos, K. Kolomvatsos, Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach Funded by: H2020/INNOVATE.
-
IEEE WD 2019 Best Paper Runner Up Award
In recognition of the technical merit and significance of our paper: Alghamdi, I., Anagnostopoulos, C., Pezaros, D., 'Time-optimized Task Offloading Decision Making in Mobile Edge Computing' @ 11th IEEE Wireless Days 2019, Manchester.
-
2nd MobiUK 2019
We are presenting: Alghamdi, I., Anagnostopoulos, C., Pezaros, D., 'Time-optimized Task Offloading Decision Making in Mobile Edge Computing' @2nd UK Mobile, Wearable and Ubiquitous Systems Research Symposium 1st-2nd July 2019, Dept of Computer Science, University of Oxford, UK.
-
IEEE INFOCOM
Join our paper presentation at IEEE INFOCOM 2018 Conference, Honolulu, HI, USA.
- R. Cziva, C. Anagnostopoulos, D. Pezaros 'Dynamic, Latency-Optimal vNF Placement at the Network Edge'.EPSRC,EU/COST;EU/GNFUV [paper]
-
2 x IEEE WD'19 Papers
Join our paper presentations at IEEE WD'19 Conference, Manchester, UK, 24-24 April 2019.
- Alghamdi, I., Anagnostopoulos, C., Pezaros, D. 'Time-Optimized Task Offloading Decision Making in Mobile Edge Computing'.
- Nikolaou, S., Anagnostopoulos, C., Pezaros, D. In-network Predictive Analytics in Edge Computing.
-
Journal article in J. Parallel and Distirbuted Computing
Kolomvatsos, K. An efficient scheme for applying software updates in pervasive computing applications. Funded by: H2020/INNOVATE.
-
Tutorial: K Aleksandrova; Title: Statistical Models Update in Edge Computing using Optimal Stopping Theory & Concept Drift
Essence Research Group Tutorial [12th April 2019@SoCS/SAWB 303]
-
2 x IEEE BigData 2018 Papers
Join our paper presentations at IEEE BigData 2018 Conference, Seattle, US; Dec 10-13, 2018. Submissions: 1100 papers; Acceptance rate 18%.
- Cahsai, A. S., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations.
- Savva, F. , Anagnostopoulos, C. and Triantafillou, P. Explaining Aggregates for Exploratory Analytics.
-
Best Student Paper Award @ IEEE BigData 2018
Awarded Paper: Cahsai, A. S., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations.
-
ACM SIGMOD SRC 2019 Award
Awarded Paper: Savva, F. Query-Driven Learning for Next Generation Predictive Modeling & Analytics at SIGMOD 2019 ACM Student Research Competition (SRC) sponsored by Microsoft.
-
Journal Article in J Data Science & Analytics
Anagnostopoulos, C. and Triantafillou, P. Large-scale predictive modelling & analytics through regression queries in data management systems. Funded by: H2020/GNFUV.
-
IEEE WiMob 2018
Join our paper presentation at IEEE WiMob 2018 Conference, Cyprus, 2018.
- Panagidi, K., Galanis, I., Anagnostopoulos, C., Hadjiefthymiades, S. Time-Optimized Contextual Information Flow on Unmanned Vehicles.; EU/RAWFIE;EU/GNFUV
-
IEEE ICTAI 2018
Join our paper presentation at IEEE ICTAI 2018 Conference, Greece, 2018.
- K. kolomvatsos, C. Anagnostopoulos An Edge-Centric Ensemble Scheme for Queries Assignment.; EU/INNOVATE
-
IEEE EDGE 2018
Join our paper presentation at IEEE EDGE 2018 Conference, CA, USA, 2018.
- N. Harth, C. Anagnostopoulos Edge-centric Efficient Regression Analytics.; EU/GNFUV
-
IEEE ICC 2018
Join our paper presentation at IEEE ICC 2018 Conference, Kansas City, MO, USA, 2018.
- A. Ali, C. Anagnostopoulos. D. Pezaros On the Optimality of Virtualized Security Function Placement in Multi-Tenant Data Centers .; EPSRC; EU/COST; EU/GNFUV
-
Guest Talk: Dr Eiko Yoneki; Uni of Cambridge
Title:Performance Tuning with Structured Bayesian Optimisation and Reinforcement Learning. [More]
-
H2020/INNOVATE Outcome@FGCS Journal
Kostas Kolomvatsos, Christos AnagnostopoulosMulti-criteria optimal task allocation at the edge, Future Generation Computer Systems,Volume 93,2019,Pages 358-372, [paper]
-
UCI ML Repository: USV Sensor Data Set 2
H2020/GNFUV@Download & Experiment: GNFUV Unmanned Surface Vehicles Sensor DataSet 2 [UCI ML Rep.]
-
Book Chapter Ed. I-S. Comşa (Brunel University London, UK); R. Trestian (Middlesex University, UK)
E. Aleksandrova, C. Anagnostopoulos. Adaptive Principal Component Analysis-based Outliers Detection through Neighbourhood Voting in Wireless Sensor Networks.Book: Next-Generation Wireless Networks Meet Advanced Machine Learning Applications; Funded by: H2020/GNFUV.
-
Journal article in Wireless Networks; H2020/RAWFIE
T. Kontos, C. Anagnostopoulos, E. Zervas, S. Hadjiefthymiades, 'Adaptive epidemic dissemination as a finite-horizon optimal stopping problem'. [paper]
-
Journal article in Computer Communications; H2020/RAWFIE
K.Panagidi, C.Anagnostopoulos, S.Hadjiefthymiades'Optimal Grouping-of-Pictures in IoT video streams'. [paper]
-
Journal article in Applied Intelligence; H2020/GNFUV
C. Anagnostopoulos, K. Kolomvatsos, 'Predictive intelligence to the edge through approximate collaborative context reasoning'. [paper]
-
Journal article in Applied Intelligence; H2020/GNFUV
C. Anagnostopoulos, F. Savva, P. Triantafillou, Scalable aggregation predictive analytics: A query-driven machine learning approach. [paper]