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

Talks, Technical Reports, Theses & Tutorials

[Q Wang] PhD Thesis: 'RADEL: Resilient and Adaptive Distributed Edge Learning in dynamic environments', [PhDQWang] 10 Dec 2025
[Q Wang] PhD Viva Presentation Title: 'RADEL: Resilient and Adaptive Distributed Edge Learning in Dynamic Environments' [QWangViva] 14 Nov 2025
[T Aladwani] PhD Thesis: 'Enhancing data representation in distributed machine learning' [PhDAladwani] 23 June 2025
[Q Long] PhD Thesis: 'Collaborative Distributed Machine Learning: from knowledge reuse to sparsification in federated learning.' [PhDLong] 8 Feb 2025
[T Aladwani] PhD Viva Presentation Title: 'Enhancing Data Representation in Distributed Machine Learning' [PhDTAladwani], 19 Nov 2024.
[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

[Q Wand] 'MOBILE: Mobility and Outage-Based Intelligent Federated Learning in Mobile Computing', 28th European Conference on Artificial Intelligence (ECAI 2025), October 25-30, 2025, Bologna, Italy [ECAI2025]
[G Alsharif] 'Incremental Unsupervised Detection of Financially Motivated Attacks in Energy Markets', IEEE International Conference on Distributed Computing Systems (ICDCS 2025), Glasgow, Scotland, 20-23 July 2025 [ICDCS2025_GA]
[G Alsharif] 'SMLT: A Synthetic Dataset for Stealthy Manipulation of Energy Market via False Data Injection Attacks', European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025), Porto, Portugal, 15-19 September 2025 [ECML2025]
[Z Tan] 'Advanced Persistent Threats based on Supply Chain Vulnerabilities: Challenges, Solutions and Future Directions' 11th IEEE World Forum on Internet of Things (IEEE WFIoT2025), 27–30 October 2025, Chengdu, China [WFIoT2025]
[G Alsharif] 'Drift-aware Unsupervised Detection of Stealthy FDIA Towards Energy Market', IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids. 29 September – 2 October 2025, Toronto, Canada [SmartGridComm]
[W Li] 'Optimization of Knowledge Distillation in Heterogeneous Federated Problems' 45th International Conference on Distributed Computing (ICDCS 2025) [ICDCS2025DC], July 20-23, Glasgow, UK
[Z Tan] 'OSPtrack: A Labelled Dataset Targeting Simulated Execution of Open-Source Software', 22nd International Conference on Mining Software Repositories (MSR 2025), April 28-29 2025, Ottawa, Canada [MSR2025_Presentation]
[S Parambath] 'Sequential Block Elimination for Dynamic Pricing' IEEE ICDM/DMF 2024, 9 Dec 2024, [ICDM 2024 Presentation] Abu Dhabi, UAE.
[W Li] 'LIFE: Leader-driven Hierarchical & Inclusive Federated Learning', 15-18 Dec 2024, IEEE BigData 2024, [BigData2024] Washington, DC, USA.
[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

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Talks, Technical Reports, Theses & Tutorials

Datasets

Conference Presentations