Conference Presentations

• [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; 22nd – 24th 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