University of Glasgow - Schools - School of Computing Science - Research - Research sections - Information, Data & Analysis Section - Knowledge & Data Engineering Systems - Research Projects & Material - Materials

Talks, Technical Reports, Theses & Tutorials

[Q Long] PhD Viva Presentation Title: 'Collaborative Distributed Machine Learning: From Knowledge Reuse to Sparsification in Federated Learning' [PhDVivaQLong], 12 Nov 2024, University of Glasgow.
[C Anagnostopoulos] 'Distributed AI: Principles' Department of Computer Science, Middlesex University, London, United Kingdom, Feb 2024.
[C Anagnostopoulos] 'AI Engineering at the Edge' [TalkARCMay2023], 19 MAY 2023, Alan Turing Network for AI in Geotechnics, Mazumdar-Shaw Advanced Research Centre, University of Glasgow 18-19 May 2023.
[C Anagnotopoulos] Knowledge Re-usability at the Edge, 12 DEC 2022, SANS 2022, James Watt School of Engineering, University of Glasgow
[K Kolomvatsos] Data-Aware Task-offloading Decision Making at the Network Edge SICSA DVF Talk, 26 SEPT 2022, School of Computing Science, University of Glasgow
[S Parambath] Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis ACM SIGIR 12th International Conference on the Theory of Information Retrieval, Madrid, July 11-12, 2022
[K Wang] Predictive Model Resilience in Edge Computing SICSA 2022 Poster Conference, GCC, June 2022
[T Aldwani] Approximate Reasoning for Data-driven Tasks Management at the Edges SICSA 2022 Poster Conference, GCC, June 2022
[E Long] Knowledge and Information Reuse in the Edge Computing Environments SICSA 2022 Poster Conference, GCC, June 2022
[I Alghamdi] Computation offloading in mobile edge computing: an optimal stopping theory approach PhD Thesis Document; Uni of Glasgow
[N Harth] Quality-aware predictive modelling & inferential analytics at the network edge PhD Thesis Document; Uni of Glasgow
[N Harth]Talk on: Quality-Efficient Local Learning of Predictive Analytics at the Network Edge 25 August 2021, Uni of Glasgow
[I Alghamdi]Talk on: Computation Offloading in Mobile Edge Computing: An Optimal Stopping Theory Approach 13 July 2021, Uni of Glasgow
[S Puthiya]Talk on: On-Line Learning: Introduction to Multi-Armed Bandits 28 June 2021, IDA & Essence Talk@Uni of Glasgow
[C Anagnostopoulos] Keynote Lecture: 'Pushing Intelligence at the Edge: Edge-centric Inferential Analytics' 24 May 2021, CDSR 2021@Canada
[S Puthiya]Talk on:Introduction to Recommender Systems 1 April 2021, Essence's ReadClub@Uni of Glasgow
[T Anagnostopoulos]Talk on:A Predictive Vehicle Ride Sharing Recommendation System for Smart Cities Commuting 18 March 2021, Essence's ReadClub@Uni of Glasgow
[I Alghamdi]Talk on: Task Offloading using Optimal Stopping Theory 04 March 2021, Essence's ReadClub@Uni of Glasgow
[F. Savva] QUERY-DRIVEN LEARNING FOR AUTOMATING EXPLORATORY ANALYTICS IN LARGE-SCALE DATA MANAGEMENT SYSTEMS [PhD Thesis Presentation] 26 NOV 2020, Glasgow
[T Aladwani] Talk on 'Computation offloading and resource allocation strategis in a mobile edge computing'; Essence's ReadClub@Uni of Glasgow, 10 NOV 2020
[F Ghanduri] Talk on 'Multivariate Time-Series Visualization'; Essence's ReadClub@Uni of Glasgow
[A Cahsai] Scaling kNN queries using statistical learning PhD Thesis Document; Uni of Glasgow
[K Kolomvatsos] Intelligent Applications over Large-scale Data Streams (MSCA-IF) Year 2 Talk JUNE 2020; Uni of Glasgow
[V Orrou] Application of Optimal Stopping Time on Large-scale Data Streams in Distributed Computing Environments Technical Report 2019-08/01/A; Glasgow, Sept 2019
[C Anagnostopoulos] Intelligent Networked Systems IEEE WESYP 2019; Glasgow, 19-21 Sept 2019
[C Anagnostopoulos] Next Generation Networked Systems:Virtualised,Programmable,Adaptive,Intelligent,Resilient CISCO Visit; Glasgow, Aug 20, 2019
[F. Savva] Query-Driven Learning for Next Generation Predictive Modelling and Analytics ACM SIGMOD Poster; Amsterdam, June 30-July 5,2019
[Talk] AI in Europer: INNOVATE's perspective ERC Brussels Meeting 17-18 June, 2019
[K Aleksandrova] Statistical Model Updates in Distributed Computing: An Optimal Stopping Theory Perspective MSci Thesis 2019 & Tutorial
[Y Kathidjiotis] Data Relevance in Predictive Analyics: Thinnig Big Data MSci Thesis 2019
[N Shehab] Big Data Thinning: Knoweldge Discovery from Relevant Data L4/H Project 2019
[C Anagnostopoulos] Essence in a Nutshell Essence Group 2019
[R Cziva] Glasgow Network Functions: From Data Centres to Unmanned Vehicles NFV WORLD CONGRESS 2018
[C Anagnostopoulos] GNFUV: Glasgow Network Functions for Unmanned Vehicles {EXP-SCI} Kick-off Meeting GNFUV 2018
[K Kolomvatsos] Intelligence over the Edge of the Network Tutorial@IEEE SEEDA-CECNSM 2018
[C Anagnostopoulos] An introduction to Queueing Theory (part 2) Guest Lecture; Uni of Glasgow@Nov 2017
[C Anagnostopoulos] An introduction to Queueing Theory (part 1) Guest Lecture; Uni of Glasgow@Nov 2017
[K Portelli] Distributed Statistical Learning & Konwledge Diffusion in IoT MSc Short Tutorial 2016

Datasets

Conference Presentations

[T Aladwani] 'CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks', IEEE DSAA 2024 [PresentationDSAA2024], 6-10 October, 2024, San Diego, CA, USA
[T Aladwani] 'The Price of Labelling: A Two-Phase Federated Self-Learning Approach', ECML/PKDD 2024 [PaperPosterECML2024] [PresentationECML24], 9-13 Sept 2024, Vilnius, LT.
[T Aladwani] Self-Supervised Federated Learning over Relevant Heterogeneous Data, Advances in Data Science and Artificial Intelligence 2024, [ADSAI-2024], University of Manchester, UK, 3-4 June 2024
[Eric Long] FedDIP: Federated Learning with Extreme Dynamic Pruning
and Incremental Regularization, 4 DEC 2023, 23rd IEEE International Conference on Data Mining (IEEE ICDCM 2023) [ICDM 2023 Presentation], 1-4 DEC 2023, Shanghai, China
[Qiyuan Wang] Maintenance of Model Resilience in Distributed Edge Learning Environments [IEEE IE 2023 PaperPresentation], 30 JUNE 2023, 19th IEEE International Conference on Intelligent Environments (IE’23), 27-30 June 2023, Mauritius.
[T Aldwani] Query-driven Edge Node Selection in Distributed Learning Environments [DASC2023], Data-driven Smart Cities (DASC) 2023 in conjuction with the 39th IEEE International Conference on Data Engineering (ICDE 2023), 3rd-7th April 2023, Anaheim, California, USA
[X Skotti] 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.
[T Aldwani] Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach IEEE FiCloud 2022, 22–24 August 2022.
[S Parambath] Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis ACM SIGIR 12th International Conference on the Theory of Information Retrieval, Madrid, July 11-12, 2022
[P. Fountas] Query Driven Data Subspace Mapping; AIAI 2022; 17– 20 June 2022, Crete, 18th International Conference on Artificial Intelligence Applications and Innovations
[S. Parambath] Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations; 13th Asian Conference on Machine Learning (ACML 2021), 17-19 November, 2021
[F. Savva] YouTube Live Presentaiton of TSMF: Network Latency Estimation Using Matrix Factorization and Time Series Forecasting (IFIP Networking 2021); 21-24 June 2021, Finland
[F. Savva] TSMF: Network Latency Estimation Using Matrix Factorization and Time Series Forecasting (IFIP Networking 2021); 21-24 June 2021, Finland
[O. Polycarpou] Optimal Load-Aware Task Offloading in Mobile Edge Computing 8th International Conference of Control, Dynamic Systems, and Robotics (CDSR’21), 23-25 May 2021, Canada
[O. Jodelka] Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification 12th International Conference on Information and Communication Systems (ICICS 2021) 24-26 May 2021 Valencia, Spain
[I. Alghamdi] Optimized Contextual Data Offloading in Mobile Edge Computing IFIP/IEEE IM 2021, Bordeaux, France 17 May 2021[PDF]
[M. Iordache-Sica] Towards QoS-aware Provisioning of Chained Virtual Security Services in Edge Networks IFIP/IEEE IM 2021, Bordeaux, France 17 May 2021
[K. Kolomvatsos] A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications 6th IEEE International Conference on Data Science and Systems (DSS); December 14-16, Fiji, 2020.
[K. Kolomvatsos] Probabilistic Data Allocation in Pervasive Computing Applications 19th International Conference on Ubiquitous Computing and Communications (IUCC); Exeter, UK, December 17-19, 2020
[P. Fountas] Ensemble based Data Imputation at the Edge [Best Student Paper] 32th International Conference on Tools with Artificial Intelligence (ICTAI), November 09-11, 2020
[T. Tziouvaras] Intelligent Monitoring of Virtualized Services 8th European Conference on Service-Oriented and Cloud Computing (ESOCC 2020), Crete, Greece, 28-30 Sept. 2020
[P. Fountas] A Continuous Data Imputation Mechanism based on Streams Correlation 10th Workshop on Management of Cloud and Smart City Systems; IEEE Symposium on Computers and Communications (ISCC), 2020
[P Oikonomou] A Demand-driven Proactive Tasks Management Model at the Edge IEEE International Conference on Fuzzy Systems (FUZZ-IEEE); 19-24 July 2020; Glasgow, UK
[P Oikonomou] An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) CD-MAKE 2020; 15th International Conference on Availability, Reliability and Security ARES 2020
[A Ali] In-Network Placement of Security VNFs in Multi-Tenant Data Centers 25th IEEE Symposium on Computers and Communications (IEEE ISCC 2020); 08-11 July 2020, Rennes, France
[F Savva] SuRF: Identification of Interesting Data Regions with Surrogate Models 36th IEEE International Conference on Data Engineering (IEEE ICDE); 20-24 April 2020, Dallas, Texas, USA [VIDEO]
[I Alghamdi] On the Optimality of Task Offloading in Mobile Edge Computing (MEC) Environments IEEE Global Communications Conference; 9-13 December 2019, Waikoloa, HI, USA
[F Savva] Aggregate Query Prediction under Dymamic Workloads IEEE Big DAta Conference, LA, 9-12 DEC 2019, US
[A Karanika] Optimized Analytics Query Allocation at the Edge of the Network 12th IDCS 2019; Napoli, Italy; 10-12 October 2019
[P Papadopoulou] Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge 18th IFIP Conf 3E 2019, Trondheim, Norway
[F Savva] Query-Driven Learning for Next Generation Predictive Modelling & Analytics [2nd Place: SIGMOD Student Research Competition] ACM SIGMOD 2019, Amsterdam, NL
[C Anagnostopoulos] Time-Optimized Task Offloading Decision Making in Mobile Edge Computing MobiUK 2019, Oxford
[K Aleksandrova] Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach 18th IEEE International Symposium on Parallel and Distributed Computing (IEEE ISPDC 2019)
[I Alghamdi] Time-Optimized Task Offloading Decision Making in Mobile Edge Computing [Best Paper Runner Up Paper] IEEE Wireless Days 2019
[K Panagidi] Time-Optimized Contextual Information Flow on Unmanned Vehicles IEEE WIMOB 2018
[F Savva] Explaining Aggregates for Exploratory Analytics IEEE BigData 2018
[A Cahsai] Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations IEEE BigData 2018 [Best Student Paper]
[R Cziva] Dynamic, Latency-Optimal vNF Placement at the Network Edge IEEE INFOCOM 2018
[K Kolomvatsos] In-Network Decision Making Intelligence for Task Allocation in Edge Computing IEEE ICTAI 2018
[K Kolomvatsos] An Edge Centric Ensemble Scheme for Queries Assignment IEEE CIMA 2018
[N Harth] Edge-centric Efficient Regression Analytics IEEE EDGE 2018
[A Ali] On the Optimality of Virtualized Security Function Placement in Multi-Tenant Data Centers IEEE ICC 2018
[A Ali] Resource-Aware Placement of Softwarised Security Services in Cloud Data Centers IEEE CNCM 2018
[I Popsescu] The Case for Graph-Based Recommendations IEEE BigData 2017
[P Triantafillou] Efficient Scalable Accurate Regression Queries in In-DBMS Analytics IEEE ICDE 2017
[A Cahsai] Scaling k-Nearest Neighbours Queries: The right way IEEE ICDCS 2017
[K Kolomvatsos] Uncertainty-driven Ensemble Forecasting of QoS in Software Defined Networks IEEE ISCC 2017
[N Harth] Quality-aware Aggregation & Predictive Analytics at the Edge IEEE BigData 2017
[K Portelli] Leveraging Edge Computing through Collaborative Machine Learning IEEE FiCloud 2017
[C Anagnostopoulos] Learning Set Cardinality in Distance Nearest Neighbours IEEE ICDM 2015
[K Kolomvatsos] An Efficient Environmental Monitoring System adopting Data Fusion, Prediction and Fuzzy Logic IEEE IISA 2015
[K Kolomvatsos] Intelligent Contextual Data Stream Monitoring ACM PETRA 2015
[C Anagnostopoulos] Epidemic dissemination controlled by wireless channel awareness IEEE ISCC 2015
[K Kolomvatsos] Intelligent contextual data stream monitoring ACM PETRA 2015
[C Anagnostopoulos] Learning to Accurately COUNT with Query-Driven Predictive Analytics IEEE BigData 2015
[C Anagnostopoulos] Scaling out Big Data Missing Value Imputations (Pythia vs. Godzilla) ACM KDD 2014 [Talk]
[C Anagnostopoulos] Optimal Stopping of the Context Collection Process in Mobile Sensor Networks IEEE PIMRC 2013
[C Anagnostopoulos] Schism: a scheme for identification of suspicious mobile clusters for location-based services IEEE PIMRC 2013
[K Delakouridis] On enhancement of 'share the secret' scheme for location privacy IEEE STM 2013
[C Anagnostopoulos] Efficient Location Based Services for Groups of Mobile Users IEEE MDM 2013
[C Anagnostopoulos] On the use of Optimal Stopping Theory for Cache Consistency Checks IEEE WISE 2012
[C Anagnostopoulos] Context Compression: using Principal Component Analysis for Efficient Wireless Communications IEEE MDM 2011
[T Kontos] An Adaptive Epidemic Information Dissemination Scheme with Cross-layer Enhancements IEEE ISCC 2011
[C Anagnostopoulos] An Adaptive Data Forwarding Scheme for Energy Efficiency in Wireless Sensor Networks IEEE IS 2010
[C Anagnostopoulos] Optimizing pervasive sensor data acquisition utilizing missing values substitution ACM PETRA 2010
[C Anagnostopoulos] An Online Adaptive Model for Location Prediction IEEE Autnomics 2009
[C Anagnostopoulos] Predicting the location of mobile users ACM ICPS 2009