Data Engineering & Distributed Computing
Essence Research Lab is affiliated with the Knowledge and Data Engineering Systems Group of the Research Section: Information, Data and Analysis (IDA), School of Computing Science. Essence brings together the fundamental research areas of Distributed Data Systems, Machine Learning, and Data Science at the network Edge.
Essence's strength lies in the spectrum of theoretical backgrounds
and applications ranging from distributed data systems, to distributed machine learning at the Edge. Essence focuses on building innovative distributed data science and engineering systems.
Essence undertakes research under the School's themes: Understandable Autonomous Systems and Media and Data Science.
Lab's members collaborate with the Inference, Dynamics and Interaction (IDI) as a source of Machine Learning expertise and the Intelligent Pervasive Systems (iPRISM) as a source of Intelligent Systems expertise.
Essence's Google Maps link
Research Areas
Essence in a Nutshell
Current Projects
- Model re-usability at the Edge; Multi-task Learning at the Edge.[Presentations & Tutorials]
- Resilence in ML Systems; Distributed Decision Making; Optimal Stopping Theory. [Presentations & Tutorials]
- Distributed ML; Federated/Local Learning; combinatorial Multi-Armed Bandits. [Presentations & Tutorials]
Check for Postgraduate Research & PhD Opportunities. Contact: Dr Christos (Chris) Anagnostopoulos
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SICSA DVF Talk: Data-Aware Task-offloading Decision Making at the Network Edge by Dr Kolomvatsos, 26 SEPT 2022, School of Computing Science, University of Glasgow
[SICSA DVF Talk Sept 2022]
[PDF]
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Programme of IEEE Convergence of Edge Intelligence in IoT (EdgeAI-IoT 2022) in conjuction with 8th IEEE World Forum on Internet of Things (IEEE WFIoT2022), Oct. 26-Nov. 11, Yokohama, Japan, 2022
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SICSA DVF Talk: The Role of Artificial Intelligence in Education by Dr Kolomvatsos, 27 October 2022, University of Strathclyde, School of Education
[SICSA DVF Talk Oct 2022]
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Enjoy our posters in SICSA 2022 PhD Conference 28/6-2/6 at Glasgow Caledonian University
[SICSA 2022]
Tahani's poster
Eric's poster
Kian's poster
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Long, Q. , Kolomvatsos, K. and Anagnostopoulos, C. 'Knowledge reuse in edge computing environments', Journal of Network and Computer Applications, Elsevier
[Open Access] -
Leyva-Pupo, I., Cervelló-Pastor, C., Anagnostopoulos, C. and Pezaros, D. P., 'Dynamic UPF placement and chaining reconfiguration in 5G networks', Computer Networks, Elsevier
[Open Access] -
Wang, Q., Mateo Fornes, J., Anagnostopoulos, C., Kolomvatsos, K. 'Predictive Model Resilience in Edge Computing', 8th IEEE World Forum on Internet of Things (IEEE WFIoT2022), Oct. 26-Nov. 11, Yokohama, Japan, 2022
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S. Verma, M. Alkan, F. Deligianni, C. Anagnostopoulos, G. Diller, L. Walker, F. Johnston, M. Danton, H. Walker, L. Swan, A. Hunter, A. McGuire, M. Dawes, S. Stott, M. Lyndsey, N. Walker, G. Veldtman 'Development of a Semi-Automated Database for Adult Congenital Heart Disease Patients (ACHD semi-automated Database)'Canadian Journal of Cardiology
[UofG Deposit] -
Our paper: Kolomvatsos, K., Anagnostopoulos, C., Koziri, M. and Loukopoulos, T. 'Proactive and time-optimized data synopsis management at the edge' is now published at the: IEEE Transactions on Knowledge and Data Engineering 34(7):3478-3490, July 2022
[in PRESS] -
Kolomvatsos, K. is awarded the SICSA Distinguished Visiting Academic Fellow [SICSA DVF 2022]
visits: University of Glasgow and Strathclyde University. -
S. Parambath, S. Liu, C. Anagnostopoulos, R. Murray-Smith, I. Ounis 'Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis' (2022) ACM SIGIR 12th International Conference on the Theory of Information Retrieval, Madrid, July 11-12, 2022
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Fountas, P., Papathanasaki, M., Kolomvatsos, K. and Anagnostopoulos, C. 'Query driven data subspace mapping'. IFIP 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), Crete, Greece, 17-20 June 2022
[UofG Deposit] [IFIP AIAI 2022] -
T. Aladwani, C. Anagnostopoulos, I. Alghamdi and K. Kolomvatsos 'Data-driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach'. IEEE 9th International Conference on Future Internet of Things and Cloud (FiCloud 2022), Rome, Italy, 22-24 August 2022
[UofG Deposit] [IEEE FiCloud 2022] -
X. Skotti, C. Anagnostopoulos, K. Kolomvatsos 'On the Reusability of Machine Learning Models in Edge Computing: A Statistical Learning Approach' SAI Future Technologies Conference (FTC) 2022 20-21 October 2022, Vancouver, Canada
[UofG Deposit] [SAI FTC 2022] -
K. Kolomvatsos, 'A Proactive Inference Scheme for Data-Aware Decision Making in Support of Pervasive Applications', (2022) Future Generation Computer Systems, Elsevier
[UTH Deposit] [FGCS Elsevier]
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K Kolomvatsos, C Anagnostopoulos, 'A proactive statistical model supporting services and tasks management in pervasive applications', (2022) IEEE Transactions on Network and Service Management
[UofG Deposit] [IEEE TSNM] -
N Harth, H-J Voegel, K Kolomvatsos, C Anagnostopoulos, 'Local & Federated Learning at the Network Edge for Efficient Predictive Analytics', (2022) Future Generation Computer Systems, Elsevier
[ResearchGate Deposit] [FGCS Elsevier] -
Our hybrid workshop: IEEE EdgeAI-IoT 2022 in accepting papers in conjunction with IEEE 8th World Forum on Internet of Things, 26 October–11 November 2022 // Yokohama, Japan
[IEEE EdgeAI-IoT 2022] [IEEE WF-IoT 2022] -
C Anagnostopoulos, T Aladwani,I Alghamdi, K Kolomvatsos, 'Data-Driven Analytics Task Management Reasoning Mechanism in Edge Computing'
[open-access link] Smart Cities (SI: Intelligent Edge Computing for Smart Cities)
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Dr K Kolomvatsos is appointed as Associate Editor of the IEEE Access Journal
[IEEE Access] -
Natascha's PhD Thesis is free online! 'Quality-Efficient Local Learning of Predictive Analytics at the Network Edge'. [Thesis Link]
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Ibrahim's PhD Thesis is free online! 'Computation offloading in mobile edge computing: an optimal stopping theory approach'. [Thesis Link]
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Welcome to Dr Jordi Mateo Fornés, University of Lleida (UdL), as Honorary Research Fellow! [Link]
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Dr C Anagnostopoulos is appointed as Associate Editor of the IEEE Access Journal
[IEEE Access] -
P Oikonomou, K Kolomvatsos, C Anagnostopoulos, N Tziritas, G Theodoropoulos, 'A Probabilistic Batch Oriented Proactive Workflow Management',
33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
[IEEE ICTAI 2021] -
S. P. Parambath, C. Anagnostopoulos, R. Murray-Smith, S. MacAvaney, E. Zervas, 'Max-Utility Based Arm Selection Strategy for Sequential Query Recommendations',
13th Asian Conference on Machine Learning
[ACM ACML 2021] -
T. Anagnostopoulos, et al. (2021) 'Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey', IEEE Access. [IEEE Access 2021]
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Sham’s talk on Mon 28/07/21@13h00:
'On-line Learning: Introduction to Multi-Armed Bandits' -
F. Savva's paper TSMF: Network Latency Estimation Using Matrix Factorization and Time Series Forecasting published in Networking 2021 in YouTube [Video Link]
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PhD Viva Success: Ibrahim Alghamdi (2021) 'Computation Offloading in Mobile Edge Computing: An Optimal Stopping Theory Approach'. PhD Thesis Presentation, University of Glasgow. ' [LNK/PDF]
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PhD Viva Success: Natascha Harth (2021) 'Quality-Efficient Local Learning of Predictive Analytics at the Network Edge'. PhD Thesis Presentation, University of Glasgow. ' [LNK/PDF]
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Polycarpou, O., Anagnostopoulos, C., Kolomvatsos, K. 'Optimal Load-Aware Task Offloading in Mobile Edge Computing'
CDSR 2021Canada, 23-25 May 2021
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Kick off: NHS-UGLA collaboration project!
Glasgow, 01 June, 2021
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F. Savva, C. Anagnostopoulos, D. Pezaros'TSMF: Network Latency Estimation Using Matrix Factorization and Time Series Forecasting', IFIP Networking, June 21-24, 2021, AALTO UNIVERSITY, FINLAND(IFIP Networking 2021)
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S. Madalena, A. Karanika, K. Kolomvatsos, C. Anagnostopoulos, G. Stamoulis'Intelligent Tasks Allocation at the Edge based on Machine Learning and Bio-Inspired Algorithms', Evolving Systems (2021), Springer
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1st IEEE International Workshop on “Distributed and Intelligent Systems” (IEEE DaIS 2021)
in conjunction with the 26th IEEE ISCC 2021, Athens, Greece, September 5, 2021 -
8th International Conference of Control, Dynamic Systems, and Robotics (CDSR'21)
Keynote Talk: 'Pushing Intelligence at the Edge' C Anagnostopoulos; 23-25 May, 2021 @ Canada
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Kolomvatsos, K., 'Data-driven Type-2 Fuzzy Sets for Tasks Management at the Edge', IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, (TETCI)
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O. Jodelka, C. Anagnostopoulos, K. Kolomvatsos, 'Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification', 12th IEEE International Conference on Information and Communication Systems (ICICS 2021), 24-26 May 2021 Valencia, Spain
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K. Kolomvatsos, C. Anagnostopoulos, 'Landmark based Outliers Detection in Pervasive Applications', 12th IEEE International Conference on Information and Communication Systems (ICICS 2021), 24-26 May 2021 Valencia, Spain
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Sham’s Zoom talk on Thu 01/04/21@10h00:
'Introduction to Recommender Systems'
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Thodoris’s Zoom talk on Thu 18/03/21@11h30:
'A Predictive Vehicle Ride Sharing Recommendation System for Smart Cities Commuting' -
F Ghanduri, K Kolomvatsos, C Anagnostopoulos,
'Predictive Intelligence& Explainability Challenges in Finance: A Review', Emerging Intelligent Decision Management Systems: Applications and Challenges, Eds. P. Pattnaik; H. Das, Wiley, 2021 -
T Aladwani, K Kolomvatsos, F Deligianni, C Anagnostopoulos,
'Intelligent Data Management in UAV-enabled Mobile Edge Computing: A Review', Emerging Intelligent Decision Management Systems: Applications and Challenges, Eds. P. Pattnaik; H. Das, Wiley, 2021
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Ibrahim’s Zoom talk on Thu 04/03/21@11h45:
Task offloading in Mobile Edge Computing: An Optimal Stopping Theory approach. -
United States Patent Granted on 'Spatiotemporal Authentication'
Inventor: Theodoros Anagnostopoulos (Ordnance Survey Limited Southampton, Hampshire, UK)
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Kolomvatsos, K., Anagnostopoulos, C. (2021)'Proactive, Uncertainty-Driven Queries Management at the Edge ', Elsevier, Future Generation Computer Systems (FGCS)
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PhD Thesis Document: F Savva (2021) 'Query-driven learning for automating exploratory analytics in large-scale data management systems. PhD thesis, University of Glasgow. ' [PhD Thesis LNK/PDF]
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2021 IEEE CSR Workshop on Data Science for Cyber Security (DS4CS)
in conjunction with IEEE Cyber Security and Resilence [IEEE CSR 2021] -
Advances in Integrations of Intelligent Methods book is online! [Springer]
'Edge-Centric Queries Stream Management Based on an Ensemble Model' K. Kolomvatsos and C. Anagnostopoulos [Book Flyer]
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Alghamdi, I., Anagnostopoulos, C., Pezaros, D., (2021)'Data Quality-Aware Task Offloading in Mobile Edge Computing: An Optimal Stopping Theory Approach', Elsevier, Future Generation Computer Systems (FGCS)
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In-vehicle Edge Data Analytics
Kick-off meeting of our industrial project with NXP.
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PhD Defense
Congratulations to Fotis Savva for his PhD Defense! Query-driven learning for automating exploratory analytics in large-scale data management systems.
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Journal of Network and Computer Applications
- Kolomvatsos, K. 'Proactive Tasks Management for Pervasive Computing Applications.' Journal of Network and Computer Applications, Elsevier, 2021.
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Open Computer Science (De Gruyter) joins C Anagnostopoulos as Senior Editor [flyer].
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P. Fountas, K. Kolomvatsos, Ensemble based Data Imputation at the Edge, 32th International Conference on Tools with Artificial Intelligence (ICTAI), November 09-11, 2020
(Best Student Paper Award!)
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K Kolomvatsos, C Anagnostopoulos. (2020), 'A Deep Learning Model for Demand-driven, Proactive Tasks Management in Pervasive Computing', Internet of Things (IoT)
Special Issue: Efficiency of Modern Data Centers.
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2 x Lecturer (Learning & Teaching) in Data Science
School of Computing Science is looking to recruit a Lecturer to contribute to the delivery of an excellent student experience by contributing to teaching, assessment and administration processes associated with undergraduate and postgraduate programmes and to undertake scholarship to enhance learning and teaching in the School (Closes: 16 SEPT 2020)
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2 x Lecturer / Senior Lecturer / Reader in Data Science
We welcome academics in the area of Data Science: Information Retrieval, Machine Learning, ML in Science, Fairness, Transparency & Explainability, Algorithmic Bias & Ethics, Vision systems, Computational Interaction, Conversational systems/agents, Knowledge Bases & NLP, Recommender Systems, Media & Data Science. (Closes: 16 SEPT 2020)
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Excellence bursaries for PhD Research.
Searching for a PhD in Distributed/Edge Computing? Having an excellent Honours or MSc degree in Computer Science? School of Computing Science (University of Glasgow) offers several international and home/EU excellence bursaries for PhD research. (Deadline: 15 OCT 2020).
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F. Savva, C. Anagnostopoulos, P. Triantafillou, K. Kolomvatsos, 'Large-scale Data Exploration using Explanatory Regression Functions', ACM Transactions on Knowledge Discovery from Data (ACM TKDD).
Funding: EPSRC EP/R018634/1, EU/H2020/MSCA-IF INNOVATE
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"A Demand-driven Proactive Tasks Management Model at the Edge", A. Karanika, P. Oikonomou, K. Kolomvatsos, T. Loukopoulos
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2020, Glasgow, UK
Session: Human-in-the-Loop Interactions in Fuzzy Reasoning and Machine Learning. (EU/MSCA-IF/INNOVATE) -
Scaling kNN queries using statistical learning
Cahsai, Atoshum Samuel (2020). PhD Thesis, University of Glasgow [online]
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3 Book Chapters authored by: E. Aleksandrova, H. Ivanov, N. Shehab, K. Kolomvatsos, C. Anagnostopoulos
- Convergence of Artificial Intelligence and the Internet of Things
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Join our presentation (IEEE ISCC 2020) Session 5B: Cloud and Edge Computing (Session I)
Ali, A. F. T., Anagnostopoulos, C. and Pezaros, D. In-Network Placement of Security VNFs in Multi-Tenant Data Centers -
PhD Defense
Congratulations to A. S. Cahsai for the PhD Defense: Scaling kNN Queries Using Statistical Learning Link: [Enlighten]
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PhD Defense
Congratulations to A. F. T. Ali for the PhD Defense: On the Placement of Security-related Virtualized Netwrok Functions over Data Center Networks Link: [Enlighten]
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Special Issue: Recent Advancement in Edge/Fog Computing for Intelligent IoT Applications
- Deadline: 31 JULY 2020
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Special Issue: Intelligent Edge Computing for Smart Cities
- Deadline: 31 DEC 2020
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10th Workshop on Management of Cloud and Smart City Systems (MoCS 2020; IEEE ISCC 2020)
- P. Fountas, K. Kolomvatsos, A Continuous Data Imputation Mechanism based on Streams Correlation, IEEE ISCC Rennes, France, 7-10 July 2020.
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE World Congress on Computational Intelligence (WCCI)
- Karanika, A., Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., A Demand-driven, Proactive Tasks Management Model at the Edge, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Glasgow, UK, 2020
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CD-MAKE Cross Domain Conference for Machine Learning and Knowledge Extraction, All-Digital Conference, 25-28 Aug 2020
- Karanika, A., Oikonomou, P., Kolomvatsos, K. and Anagnostopoulos, C. An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge. (EU INNOVATE) Interpretable ML in Edge Computing!
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IEEE Conference on Data Engineering (IEEE ICDE 2020)
- F. Savva, C. Anagnostopoulos, P. Triantafillou (2020) SuRF: Identification of Interesting Data Regions with Surrogate Models.36th IEEE International Conference on Data Engineering (IEEE ICDE), Dallas, TX, USA, 20-24 April 2020 A succesfull blend of Swarm Intelligence with Machine Learning!
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IEEE Symposium on Computers and Communications (IEEE ISCC 2020)
- Ali, A. F. T., Anagnostopoulos, C. and Pezaros, D. In-Network Placement of Security VNFs in Multi-Tenant Data Centers, IEEE ISCC Rennes, France, 7-10 July 2020.
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Recruiting: Post Doctoral Data Analyst/Research Associate/Research Fellow!
EPSRC-funded Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics (Closes: 17 JUNE 2020)
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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)
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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
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IEEE WCCI/ECCI 2020
Our First International Workshop on Edge Computing & Computational Intelligence (ECCI 2020) is held in conjunction with the IEEE WCCI 2020, 19 - 24 July 2020, Glasgow, UK
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Recruiting: Research Associate/Fellow!
EPSRC-funded Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics (Closes: 6th February 2020)
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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'.
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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'
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IEEE Big Data 2019; LA, 9-12 DEC 2019
- F. Savva, C. Anagnostopoulos, P. Triantafillou
'Aggregate Query Prediction under DynamicWorkloads'
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Article in Computing (Springer)
- K. Kolomvatsos, C. Anagnostopoulos
'A probabilistic model for assigning queries at the edge'
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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!
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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
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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
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[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
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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]
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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.
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UCI ML Repository Dataset
[New] Query Analytics Workloads Dataset in UCI ML Repository [Dataset]
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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]
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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]
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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]
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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
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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
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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.
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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.
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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.
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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.
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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]
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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.
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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.
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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]
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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.
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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.
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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.
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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.
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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
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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
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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
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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
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Guest Talk: Dr Eiko Yoneki; Uni of Cambridge
Title:Performance Tuning with Structured Bayesian Optimisation and Reinforcement Learning. [More]
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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]
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UCI ML Repository: USV Sensor Data Set 2
H2020/GNFUV@Download & Experiment: GNFUV Unmanned Surface Vehicles Sensor DataSet 2 [UCI ML Rep.]
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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.
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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]
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Journal article in Computer Communications; H2020/RAWFIE
K.Panagidi, C.Anagnostopoulos, S.Hadjiefthymiades'Optimal Grouping-of-Pictures in IoT video streams'. [paper]
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Journal article in Applied Intelligence; H2020/GNFUV
C. Anagnostopoulos, K. Kolomvatsos, 'Predictive intelligence to the edge through approximate collaborative context reasoning'. [paper]
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Journal article in Applied Intelligence; H2020/GNFUV
C. Anagnostopoulos, F. Savva, P. Triantafillou, Scalable aggregation predictive analytics: A query-driven machine learning approach. [paper]