Dr Christos Anagnostopoulos

Reader (Computing Science)

telephone: 01413307252
email: Christos.Anagnostopoulos@glasgow.ac.uk
pronouns: He/him/his

Office S114, School of Computing Science, Sir Alwyn Williams Building, University of Glasgow, G12 8QQ

Biography

I am an Associate Professor (Reader) in Distributed Computing & Data Engineering Systems and Director of the MSc Information Technology and MSc Software Development Programmes, School of Computing Science. My research expertise is at the intersection of large-scale Distributed Computing, Distributed AI/ML, and Data-centric AI. I have received funding for my research by the EC/H2020, EU Horizon, UK EPSRC and the industry. I am an author of over 180 scientific journals and conferences [scholar]. I am leading the Knowledge and Data Engineering Systems Group (IDA Section). I am Editor in Chief of the Open Computer Science (De Gruyter) and Associate Editor of IEEE Access. I serve as the General Chair of the IEEE ICDCS 2025. I am currently the PI/Technical Coordinator of the EU Horizon grants TRACE, COIN-3D, ELLIE, and TERRA. I am an associate fellow of the HEA and professional member of ACM, IEEE and IEEE STC.

Before joining Glasgow, I was an Assistant Professor (Lecturer) at Ionian University and University of Athens. I have been a MSCA Fellowship Supervisor in University of Glasgow (2018-2020) and have held a Research Fellowship at University of Glasgow (2015-2018) in the area of large-scale distributed computing. I hold a BSc Hons. (Valedictorian) in Computer Science & Telecommunications, MSc (Distinction) in Advanced Computing Systems, and PhD in Computing Science, University of Athens (2008).

Visit KDES Group for more information.

Research interests

Research Statement

My interests and contributions are at the intersection of large-scale distributed computing, distributed AI/ML, and data-centric AI (KDES Group). Throughout my career, I have been conducting research in Distributed Computing for Machine Learning, Federated Learning, in-network Data Management, on-line Stochastic Optimization, Epidemical-based Data Dissemination, and Decentralized Predictive Analytics. Currently, I have established theorerical and analytical models & algorithms for distributed data management and distributed ML/AI. I have published extensively in top journals (including ACM TKDD, ACM TIST, ACM TOIT, ACM TOSN, ACM Comput. Surv., IEEE TMC, IEEE TKDE) and conferences in the above areas (including KDD, ICDE, ICDCS, ICDM, ACML, BigData). I am an associate fellow of the HEA, member of ACM and IEEE member of IEEE Special Technical Community (Smart and Circular Cities).

I am Editor in Chief of the Open Computer Science (De Gruyter) and Associate Editor of IEEE Access. I serve as the General Chair of the IEEE ICDCS 2025.

Google Scholar: [citations]; DBLP [link]; ORCID [link]; ResearchGate [link]

Research Group

KDES Group: Knowledge & Data Engineering Systems.

Funded Projects

[*] EU Horizon: An Intelligent platform for integrating climate services (TERRA); 2025-2028, PI: Dr C Anagnostopoulos, Co-Is: Dr Z Gao, Dr M Hurst

According to Water Europe statistics, 90% of the global economy and 75% of jobs depend on water, while water-related risks are among the top 5 risks. Τhe term “water” includes both drinkable water (with respect to pollution) and hydrology water modelling (with respect to floods and sea level rise). As a result, the significance of modelling techniques, especially regarding water pollution, coastline management, flood prediction and sea level rise assessment cannot be overstated. TERRA envisions the creation of services and product chains that fuse Copernicus services with Digital Twins and AI technologies to provide solutions for coastline detection, coastline erosion prediction, flood risk assessment and mitigation, water pollution assessment and coastline modelling. TERRA provides the framework to promote its outcomes through the Global Earth Observation System of Systems (GEOSS).

[*] EU Horizon: On the use of Internet of Senses for the Cultural Heritage (ELLIE); 2025-2028, PI: Dr C Anagnostopoulos.

ELLIE research examines the impact of emerging technologies on creative processes, particularly in terms of technological advancements and innovation. Artificial Intelligence (AI), Generative AI, Internet of Senses and Digital Twins (DTs) are key technologies frequently explored in this context. ELLIE leverages these technologies within a virtual immersive world creating an innovative platform that opens up opportunities for novel services in the Cultural and Creative Industries (CCIs) domain.

[*] EU Horizon: Collaborative Innovation in 3D VLSI Reliability (COIN-3D); 2024-2027. PI: Dr C Anagnostopoulos.

COIN-3D fosters strategic networking and knowledge exchange between leading European research institutions to enhance research management and commercialization capacities in the area of 2.5/3D chiplet architectures. The main target of the COIN-3D project is to enhance the AI research capacity of an entity being active in a widening country with the assistance of more developed countries trying to expose the pathways for innovation and research excellence.

[*] EU Horizon: Integration and Harmonization of Logistics Operations (TRACE); 2023-2026. PI: Dr C Anagnostopoulos

TRACE targets to an AI-driven universal platform related to planning, scheduling, optimization and events management as well as the use of blockchain technology to facilitate the real time conclusion of smart contracts and financial operations, thus, becoming one of the first attempts to provide an ‘intelligent cover’ upon the current logistics frameworks. TRACE will perform studies related to the barriers towards the new logistics era, the new business opportunities, the requirements for the legislation and regulatory frameworks and expose the benefits of the proposed approach in terms of the reduction for energy demand and emissions while limiting the operational costs for logistics stakeholders.

[*] EU H2020 Marie Skłodowska-Curie IF (MSCA): Intelligent Applications over Large Scale Data Streams (INNOVATE); 2018-2020. PI: Dr C Anagnostopoulos

INNOVATE proposes novel methodologies and solutions adopting a pool of computational intelligence schemes and ensemble learning models for fusing local pieces of knowledge in a timely and efficient way. Distributed stochastic optimization techniques will be developed to provide efficient solutions that can support large-scale data steam-based predictive analytics.

[*] EU H2020 FIRE+: Glasgow Network Functions for Unmanned Vehicles (GNFUV) 2018-2019. PI: Dr C Anagnostopoulos

Glasgow Network Functions for Unmanned Vehicles (GNFUV) is an extension of the Glasgow Network Functions (GNF) framework that operates over UxV infrastructures being particularly well-suited for operating over resourced-constrained and mobile Internet of Things (IoT) environments. GNFUV aims to showcase the capabilities of UxVs as hosting platforms for (virtualised) tasks, ranging from always-on monitoring and network topology self-management, to in-network, contextual information processing algorithms for edge-computing predictive analytics.

[*] UK EPSRC: Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics (CLDS) 2018-2023. co-PI: Dr C Anagnostopoulos; PI: Prof R Murray-Smith.

Progress in sensing, computational power, storage and analytic tools has given us access to enormous amounts of complex data, which can inform us of better ways to manage our cities, run our companies or develop new medicines. However, the 'elephant in the room' is that when we act on that data we change the world, potentially invalidating the older data. In this project we will look at the overlap between the challenge someone faces when coping with all the choices associated with booking a flight for a weekend away, and an expert running complex experiments in a laboratory.

[*] EU Erasmus+ KA2: Personalised Recommendations and Internationalisation for MOOCs in European Schools (PRIMES), 2016-2019. co-PI: Dr C Anagnostopoulos

PRIMES aims to produce a novel e-learning platform, combining the wide reach and popularity of MOOCs with advanced artificial intelligence and data summarisation algorithms, to provide a truly personalised learning experience, fitted to the needs and characteristics of teenager (secondary school) students.

[*] BMW Research Group: Advanced Federated Learning in Vehicle Networks, 2019-2027. PI: Dr C Anagnostopoulos

[*] NXP Research: In-vehicle Edge Data Analytics, 2020-2021. co-PI: Dr C Anagnostopoulos

[*] NHS Golden Jubilee: Risk Prediction Models in Congenital Diseases, 2021. (PIs: Dr C Anagnostopoulos; Dr F Deligianni)

[*] Turing Network Development (Alan Turing Institute and EPSRC IAA) Turing Network for AI in offshore wind geotechnics, 2023 (PI: Dr Gao, Co-I: Dr Anagnostopoulos)

[*] QTS Group Research: Enabling AI for Tackling Overgrowing Vegetation, 2024 (PI: Dr Anagnostopoulos; Co-PI: Dr Gao)

Publications

Selected publications

Koukosias, A., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Task-aware data selectivity in pervasive edge computing environments. IEEE Transactions on Knowledge and Data Engineering, (doi: 10.1109/TKDE.2024.3485531) (Early Online Publication)

Aladwani, T., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Node and relevant data selection in distributed predictive analytics: a query-centric approach. Journal of Network and Computer Applications, 232, 104029. (doi: 10.1016/j.jnca.2024.104029)

Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F. (2024) CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks. In: 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024, (doi: 10.1109/DSAA61799.2024.10722828)

Puthiya Parambath, S. A. , Anagnostopoulos, C. and Murray-Smith, R. (2024) Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback. Data Mining and Knowledge Discovery, 38(6), pp. 3758-3782. (doi: 10.1007/s10618-024-01057-4)

Aladwani, T., Parambath, S. , Anagnostopoulos, C. and Deligianni, F. (2024) The Price of Labelling: A Two-Phase Federated Self-Learning Approach. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, 9-13 September 2024, (Accepted for Publication)

Long, Q. , Anagnostopoulos, C. and Kolomvatsos, K. (2024) Enhancing knowledge reusability: a distributed multitask machine learning approach. IEEE Transactions on Emerging Topics in Computing, (doi: 10.1109/TETC.2024.3390811) (Early Online Publication)

Kolomvatsos, K. and Anagnostopoulos, C. (2024) Autonomous proactive data management in support of pervasive edge applications. Future Generation Computer Systems, 155, pp. 108-120. (doi: 10.1016/j.future.2024.02.003)

Long, Q. , Anagnostopoulos, C. , Puthiya, S. and Bi, D. (2024) FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. In: IEEE ICDM 2023, Shanghai, China, 1-4 December 2023, pp. 1187-1192. ISBN 9798350307887 (doi: 10.1109/ICDM58522.2023.00146)

Long, Q. , Kolomvatsos, K. and Anagnostopoulos, C. (2022) Knowledge reuse in edge computing environments. Journal of Network and Computer Applications, 206, 103466. (doi: 10.1016/j.jnca.2022.103466)

Kolomvatsos, K. and Anagnostopoulos, C. (2022) A proactive statistical model supporting services and tasks management in pervasive applications. IEEE Transactions on Network and Service Management, 19(3), pp. 3020-3031. (doi: 10.1109/TNSM.2022.3161663)

Harth, N., Voegel, H.-J., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Local federated learning at the network edge for efficient predictive analytics. Future Generation Computer Systems, 134, pp. 107-122. (doi: 10.1016/j.future.2022.03.030)

Kolomvatsos, K., Anagnostopoulos, C. , Koziri, M. and Loukopoulos, T. (2022) Proactive & time-optimized data synopsis management at the edge. IEEE Transactions on Knowledge and Data Engineering, 34(7), pp. 3478-3490. (doi: 10.1109/TKDE.2020.3021377)

Oikonomou, P., Karanika, A., Anagnostopoulos, C. and Kolomvatsos, K. (2021) On the use of intelligent models towards meeting the challenges of the edge mesh. ACM Computing Surveys, 54(6), 125. (doi: 10.1145/3456630)

Alghamdi, I., Anagnostopoulos, C. and Pezaros, D. P. (2021) Data quality-aware task offloading in mobile edge computing: an optimal stopping theory approach. Future Generation Computer Systems, 117, pp. 462-479. (doi: 10.1016/j.future.2020.12.017)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) An intelligent edge-centric queries allocation scheme based on ensemble models. ACM Transactions on Internet Technology, 20(4), 45. (doi: 10.1145/3417297)

Savva, F. , Anagnostopoulos, C. , Triantafillou, P. and Kolomvatsos, K. (2020) Large-scale data exploration using explanatory regression functions. ACM Transactions on Knowledge Discovery from Data, 14(6), 76. (doi: 10.1145/3410448)

Anagnostopoulos, C. (2020) Edge-centric inferential modeling & analytics. Journal of Network and Computer Applications, 164, 102696. (doi: 10.1016/j.jnca.2020.102696)

Panagidi, K., Anagnostopoulos, C. , Chalvatzaras, A. and Hadjietfthymiades, S. (2020) To transmit or not to transmit: controlling the communications in the mobile IoT domain. ACM Transactions on Internet Technology, 20(3), 22. (doi: 10.1145/3369389)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) Adaptive learning of aggregate analytics under dynamic workloads. Future Generation Computer Systems, 109, pp. 317-330. (doi: 10.1016/j.future.2020.03.063)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) SuRF: Identification of Interesting Data Regions with Surrogate Models. In: 36th IEEE International Conference on Data Engineering (IEEE ICDE), Dallas, TX, USA, 20-24 April 2020, pp. 1321-1332. ISBN 9781728129037 (doi: 10.1109/ICDE48307.2020.00118)

Anagnostopoulos, C. and Triantafillou, P. (2020) Large-scale predictive modeling and analytics through regression queries in data management systems. International Journal of Data Science and Analytics, 9(1), pp. 17-55. (doi: 10.1007/s41060-018-0163-5)

Anagnostopoulos, C. and Kolomvatsos, K. (2019) An intelligent, time-optimized monitoring scheme for edge nodes. Journal of Network and Computer Applications, 148, 102458. (doi: 10.1016/j.jnca.2019.102458)

Cziva, R., Anagnostopoulos, C. and Pezaros, D. P. (2018) Dynamic, Latency-Optimal vNF Placement at the Network Edge. In: IEEE Conference on Computer Communications (INFOCOM 2018), Honolulu, HI, USA, 15-19 Apr 2018, pp. 693-701. ISBN 9781538641286 (doi: 10.1109/INFOCOM.2018.8486021)

Anagnostopoulos, C. , Savva, F. and Triantafillou, P. (2018) Scalable aggregation predictive analytics: a query-driven machine learning approach. Applied Intelligence, 48(9), pp. 2546-2567. (doi: 10.1007/s10489-017-1093-y)

Ali, A., Anagnostopoulos, C. and Pezaros, D. P. (2018) On the Optimality of Virtualized Security Function Placement in Multi-Tenant Data Centers. In: IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA, 20-24 May 2018, ISBN 9781538631805 (doi: 10.1109/ICC.2018.8422426)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2017) Data fusion and type-2 fuzzy inference in contextual data stream monitoring. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), pp. 1839-1853. (doi: 10.1109/TSMC.2016.2560533)

Cahsai, A., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. (2017) Scaling k-Nearest Neighbors Queries (The Right Way). In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, USA, 5-8 June 2017, pp. 1419-1430. ISBN 9781538617939 (doi: 10.1109/ICDCS.2017.267)

Anagnostopoulos, C. and Triantafillou, P. (2017) Query-driven learning for predictive analytics of data subspace cardinality. ACM Transactions on Knowledge Discovery from Data, 11(4), 47. (doi: 10.1145/3059177)

Anagnostopoulos, C. and Triantafillou, P. (2017) Efficient Scalable Accurate Regression Queries in In-DBMS Analytics. In: IEEE International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19-22 Apr 2017, pp. 559-570. ISBN 9781509065431 (doi: 10.1109/ICDE.2017.111)

Anagnostopoulos, C. (2016) Quality-optimized predictive analytics. Applied Intelligence, 45(4), pp. 1034-1046. (doi: 10.1007/s10489-016-0807-x)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Kolomvatsos, K. (2016) Accurate, dynamic, and distributed localization of phenomena for mobile sensor networks. ACM Transactions on Sensor Networks, 12(2), 9. (doi: 10.1145/2882966)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2016) Distributed localized contextual event reasoning under uncertainty. IEEE Internet of Things Journal, 4(1), pp. 183-191. (doi: 10.1109/JIOT.2016.2638119)

Anagnostopoulos, C. , Kolomvatsos, K. and Hadjiefthymiades, S. (2015) Time-optimised user grouping in location based services. Computer Networks, 81, pp. 220-244. (doi: 10.1016/j.comnet.2015.02.017)

Anagnostopoulos, C. and Triantafillou, P. (2015) Learning set cardinality in distance nearest neighbours. In: IEEE International Conference on Data Mining (IEEE ICDM 2015), Atlantic City, NJ, USA, 14-17 Nov 2015, pp. 691-696. ISBN 9781467395038 (doi: 10.1109/ICDM.2015.17)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) An efficient recommendation system based on the optimal stopping theory. Expert Systems with Applications, 41(15), pp. 6796-6806. (doi: 10.1016/j.eswa.2014.04.039)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Advanced principal component-based compression schemes for wireless sensor networks. ACM Transactions on Sensor Networks, 11(1), 7. (doi: 10.1145/2629330)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Intelligent trajectory classification for improved movement prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(10), pp. 1301-1314. (doi: 10.1109/TSMC.2014.2316742)

Anagnostopoulos, C. and Triantafillou, P. (2014) Scaling out Big Data Missing Value Imputations: Pythia vs. Godzilla. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '14), New York, N.Y., U.S.A, 24-27 Aug 2014, pp. 651-660. ISBN 9781450329569 (doi: 10.1145/2623330.2623615)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Determining the optimal stopping time for automated negotiations. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(7), pp. 908-921. (doi: 10.1109/TSMC.2013.2279665)

Anagnostopoulos, C. (2014) Time-optimized contextual information forwarding in mobile sensor networks. Journal of Parallel and Distributed Computing, 74(5), pp. 2317-2332. (doi: 10.1016/j.jpdc.2014.01.008)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2013) Multivariate context collection in mobile sensor networks. Computer Networks, 57(6), pp. 1394-1407. (doi: 10.1016/j.comnet.2013.01.001)

Anagnostopoulos, C. , Sekkas, O. and Hadjiefthymiades, S. (2012) An adaptive epidemic information dissemination model for wireless sensor networks. Pervasive and Mobile Computing, 8(5), pp. 751-763. (doi: 10.1016/j.pmcj.2011.06.005)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) Optimal, quality-aware scheduling of data consumption in mobile ad hoc networks. Journal of Parallel and Distributed Computing, 72(10), pp. 1269-1279. (doi: 10.1016/j.jpdc.2012.05.011)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Georgas, P. (2012) PC3: principal component-based context compression. Journal of Parallel and Distributed Computing, 72(2), pp. 155-170. (doi: 10.1016/j.jpdc.2011.10.001)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) A fuzzy logic system for bargaining in information markets. ACM Transactions on Intelligent Systems and Technology, 3(2), pp. 1-26. (doi: 10.1145/2089094.2089108)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) Delay-tolerant delivery of quality information in ad hoc networks. Journal of Parallel and Distributed Computing, 71(7), pp. 974-987. (doi: 10.1016/j.jpdc.2010.11.007)

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) An adaptive location prediction model based on fuzzy control. Computer Communications, 34(7), pp. 816-834. (doi: 10.1016/j.comcom.2010.09.001)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Zervas, E. (2011) Information dissemination between mobile nodes for collaborative context awareness. IEEE Transactions on Mobile Computing, 10(12), pp. 1710-1725. (doi: 10.1109/TMC.2011.19)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Zervas, E. (2011) An analytical model for multi-epidemic information dissemination. Journal of Parallel and Distributed Computing, 71(1), pp. 87-104. (doi: 10.1016/j.jpdc.2010.08.010)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2009) Advanced inference in situation-aware computing. IEEE Transactions on Systems, Man, and Cybernetics. Part A: Systems and Humans, 39(5), pp. 1108-1115. (doi: 10.1109/TSMCA.2009.2025023)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2008) Enhancing situation-aware systems through imprecise reasoning. IEEE Transactions on Mobile Computing, 7(10), pp. 1153-1168. (doi: 10.1109/TMC.2008.34)

All publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004

Number of items: 212.

2025

Tymplalexis, N., Kolomvatsos, K. and Anagnostopoulos, C. (2025) A demand aware services placement model in Pervasive Edge Computing. Computer Networks, 264, 111254. (doi: 10.1016/j.comnet.2025.111254)

Axelou, O., Aladwani, T., Floros, G. and Anagnostopoulos, C. (2025) Towards EMIR Mitigation: Efficient Wire Sizing for VLSI Power Grids Based on L-BFGS Algorithm. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Lin, Z. , Lan, J. , Anagnostopoulos, C. , Tian, Z. and Flynn, D. (2025) Multi-Agent Monte Carlo Tree Search for Safe Decision Making at Unsignalized Intersections. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland, 20-23 Jul 2025, (Accepted for Publication)

Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Axelou, O., Floros, G. and Anagnostopoulos, C. (2025) Decentralized Deep Learning for Lithographic Hotspot Detection in IC Design. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Alkan, M., Deligianni, F. , Anagnostopoulos, C. , Zakariyya, I. and Veldtman, G. (2025) Digitisation and linkage of PDF formatted 12-lead electrocardiograms in adult congenital heart disease. CJC Pediatric and Congenital Heart Disease, (doi: 10.1016/j.cjcpc.2025.03.006) (In Press)

Pantazi-Kypraiou, M., Goudroumanis, G. R., Aladwani, T., Tziouvaras, A., Stamoulis, G. and Anagnostopoulos, C. (2025) Design Space Exploration based on Q-Learning for 2D Bin-packing Problems. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Puthiya Parambath, S. , LI, W., Anagnostopoulos, C. and Korobilis, D. (2025) CluE: Cluster, Sample & Eliminate - Bayesian Block Elimination for Pure Exploration with Non-binary Rewards and Limited Budget. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Al-Fahad, S. A., Puthiya Parambath, S. and Anagnostopoulos, C. (2025) Gradient Bandit Experts for Node Selection in Edge Computing. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Floros, G. and Anagnostopoulos, C. (2025) A Federated Few-shot Learning Siamese Network Framework with Data Label Imbalance. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

LI, W., Anagnostopoulos, C. and Bryson, K. (2025) FedColab: Federated Collaborative Learning for Teacher-Student Knowledge Distillation. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

Tan, Z., Anagnostopoulos, C. , Parambath, S. P. , Xiao, K. and Singer, J. (2025) Unified Parallel Semantic Log Parsing based on Causal Graph Construction for Attack Attribution. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

Xiao, K., Wang, Q., Anagnostopoulos, C. and Bryson, K. (2025) Resilient Inference for Personalized Federated Learning in Edge Computing Environments. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

Alsharif, G., Anagnostopoulos, C. and Marnerides, A. (2025) Incremental Learning Detection of Distributed Financially Motivated Attacks in Energy Markets. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS 2025), Glasgow, Scotland, 20-23 July 2025, (Accepted for Publication)

Forstenhaeusler, M., Anagnostopoulos, C. , Parambath, S. , Külzer, D. and Weber, N. (2025) Leveraging Federated Learning for Decentralized Semi-Supervised Task-Informed Representation Learning on Sequential Data. In: 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025), Glasgow, UK, 20-23 July 2025,

Tan, Z., Wang, Q., Anagnostopoulos, C. , Puthiya Parambath, S. , Singer, J. and Temple, S. (2025) Distributed Log-driven Anomaly Detection System Based on Evolving Decision Making. In: 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

Li, W., Anagnostopoulos, C. and Bryson, K. (2025) Optimization of Knowledge Distillation in Heterogeneous Federated Problems. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)

Tan, Z., Anagnostopoulos, C. and Singer, J. (2025) Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Xiao, K. and Anagnostopoulos, C. (2025) A Robust Byzantine-Resilient Framework for Federated Learning. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

Alsharif, G. O., Anagnostopoulos, C. and Marnerides, A. K. (2025) Energy market manipulation via false-data injection attacks: a review. IEEE Access, 13, pp. 42559-42573. (doi: 10.1109/ACCESS.2025.3548914)

Al-Fahad, S., Puthiya Parambath, S. , Anagnostopoulos, C. and Kolomvatsos, K. (2025) Node selection using adversarial expert-based multi-armed bandits in distributed computing. Computing, (Accepted for Publication)

Tan, Z., Anagnostopoulos, C. and Singer, J. (2025) OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software. In: 22nd International Conference on Mining Software Repositories (MSR 2025), Ottowa, Canada, 28-29 April 2025, (Accepted for Publication)

Tan, Z., Parambath, S., Anagnostopoulos, C. , Singer, J. and Marnerides, A. K. (2025) Advanced persistent threats based on supply chain vulnerabilities: challenges, solutions & future directions. IEEE Internet of Things Journal, (doi: 10.1109/JIOT.2025.3528744) (Early Online Publication)

2024

Puthiya Parambath, S. , Anagnostopoulos, C. and Alfahad, S. A. M. (2024) Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. Data Mining and Knowledge Discovery, (Accepted for Publication)

Li, W., Anagnostopoulos, C. , Puthiya Parambath, S. and Bryson, K. (2024) LIFE: Leader-driven Hierarchical & Inclusive Federated Learning. In: 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington D.C., USA, 15-18 Dec 2024, (Accepted for Publication)

Puthiya Parambath, S. A. , Al-Fahad, S. A. M., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Sequential Block Elimination for Dynamic Pricing. In: The 2nd International Workshop on Data Mining in Finance (DMF 2024) at the IEEE International Conference on Data Mining, Abu Dhabi, United Arab Emirates, 09-12 Dec 2024, (Accepted for Publication)

Aladwani, T. and Anagnostopoulos, C. (2024) Semi-Supervised Federated Learning over Relevant Heterogeneous Data. In: BMVC 2024 Workshop on Privacy, Fairness, Accountability and Transparency in Computer Vision, Glasgow, UK, 28 November 2024, (Accepted for Publication)

Al-Fahad, S., WANG, Q. , Anagnostopoulos, C. and Kolomvatsos, K. (2024) Task offloading in mobile edge computing using cost-based discounted optimal stopping. Open Computer Science, 14(1), 20230115. (doi: 10.1515/comp-2023-0115)

2023

Wang, Q., Anagnostopoulos, C. , Fornes, J. M., Kolomvatsos, K. and Vrachimis, A. (2023) Maintenance of Model Resilience in Distributed Edge Learning Environments. In: 19th IEEE International Conference on Intelligent Environments (IE’23), Mauritius, 27-30 June 2023, pp. 1-8. ISBN 9798350312225 (doi: 10.1109/IE57519.2023.10179109)

Wang, Q., Mateo Fornes, J., Anagnostopoulos, C. and Kolomvatsos, K. (2023) Predictive Model Resilience in Edge Computing. In: IEEE 8th World Forum on Internet of Things (WF-IoT2022), Yokohama, Japan, 26 October - 11 November 2022, ISBN 9781665491532 (doi: 10.1109/WF-IoT54382.2022.10152282)

Aladwani, T., Anagnostopoulos, C. , Kolomvatsos, K., Alghamdi, I. and Deligianni, F. (2023) Query-driven Edge Node Selection in Distributed Learning Environments. In: Data-driven Smart Cities (DASC 2023)/ 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, United States, 3-7 April 2023, pp. 146-153. ISBN 9798350322446 (doi: 10.1109/ICDEW58674.2023.00029)

Liu, Q., Kaul, C., Wang, J., Anagnostopoulos, C. , Murray-Smith, R. and Deligianni, F. (2023) Optimizing Vision Transformers for Medical Image Segmentation. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023, ISBN 9781728163277 (doi: 10.1109/ICASSP49357.2023.10096379)

ALFahad, S., Anagnostopoulos, C. and Kolomvatsos, K. (2023) Time-optimized sequential decision making for service management in smart city environments. Journal of Smart Cities and Society, 1(4), pp. 277-299. (doi: 10.3233/SCS-220015)

2022

Leyva-Pupo, I., Cervelló-Pastor, C., Anagnostopoulos, C. and Pezaros, D. P. (2022) Dynamic UPF placement and chaining reconfiguration in 5G networks. Computer Networks, 215, 109200. (doi: 10.1016/j.comnet.2022.109200)

Verma, S. et al. (2022) Development of a semi-automated database for adult congenital heart disease patients. Canadian Journal of Cardiology, 38(10), pp. 1634-1640. (doi: 10.1016/j.cjca.2022.05.022) (PMID:35661703)

Puthiya Parambath, S. A. , Liu, S., Anagnostopoulos, C. , Murray-Smith, R. and Ounis, I. (2022) Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. In: 8th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2022), Madrid, Spain, 11-12 July 2022, ISBN 9781450394123 (doi: 10.1145/3539813.3545135)

Fountas, P., Papathanasaki, M., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Query Driven Data Subspace Mapping. In: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022), Crete, Greece, 17-20 June 2022, pp. 496-508. ISBN 9783031083365 (doi: 10.1007/978-3-031-08337-2_41)

Anagnostopoulos, C. , Aladwani, T., Alghamdi, I. and Kolomvatsos, K. (2022) Data-driven analytics task management reasoning mechanism in edge computing. Smart Cities, 5(2), pp. 562-582. (doi: 10.3390/smartcities5020030)

Soula, M., Karanika, A., Kolomvatsos, K., Anagnostopoulos, C. and Stamoulis, G. (2022) Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms. Evolving Systems, 13(2), pp. 221-242. (doi: 10.1007/s12530-021-09379-0)

Aladwani, T., Alghamdi, I., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach. In: 9th International Conference on Future Internet of Things and Cloud (FiCloud 2022), Rome, Italy, 22-24 August 2022, pp. 83-91. ISBN 9781665493505 (doi: 10.1109/FiCloud57274.2022.00019)

Skotti, X., Kolomvatsos, K. and Anagnostopoulos, C. (2022) On the Reusability of Machine Learning Models in Edge Computing: A Statistical Learning Approach. In: Arai, Kohei (ed.) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3. Series: Lecture Notes in Networks and Systems. Springer: Cham, pp. 69-89. ISBN 9783031183430 (doi: 10.1007/978-3-031-18344-7_5)

2021

Oikonomou, P., Kolomvatsos, K., Anagnostopoulos, C. , Tziritas, N. and Theodoropoulos, G. (2021) A Probabilistic Batch Oriented Proactive Workflow Management. In: 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 Nov 2021, pp. 1242-1246. ISBN 9781665408981 (doi: 10.1109/ICTAI52525.2021.00197)

Savva, F. , Anagnostopoulos, C. and Pezaros, D. (2021) TSMF: Network Latency Estimation Using Matrix Factorization and Time Series Forecasting. In: 2021 IFIP Networking Conference, 21-24 Jun 2021, ISBN 9783903176393 (doi: 10.23919/IFIPNetworking52078.2021.9472796)

Iordache-Sica, M. M., Anagnostopoulos, C. and Pezaros, D. P. (2021) Towards QoS-aware Provisioning of Chained Virtual Security Services in Edge Networks. In: 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM 2021), Bordeaux, France, 17-21 May 2021, ISBN 9783903176324

Jodelka, O., Anagnostopoulos, C. and Kolomvatsos, K. (2021) Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification. In: 12th International Conference on Information and Communication Systems (ICICS 2021), Valencia, Spain (Virtual), 24-26 May 2021, pp. 213-219. ISBN 9781665433518 (doi: 10.1109/ICICS52457.2021.9464585)

Kolomvatsos, K. and Anagnostopoulos, C. (2021) Landmark based Outliers Detection in Pervasive Applications. In: 12th International Conference on Information and Communication Systems (ICICS 2021), Valencia, Spain (Virtual), 24-26 May 2021, pp. 201-206. ISBN 9781665433518 (doi: 10.1109/ICICS52457.2021.9464571)

Kolomvatsos, K. and Anagnostopoulos, C. (2021) Proactive, uncertainty-driven queries management at the edge. Future Generation Computer Systems, 118, pp. 75-93. (doi: 10.1016/j.future.2020.12.028)

Alghamdi, I. A. I., Anagnostopoulos, C. and Pezaros, D. (2021) Optimized Contextual Data Offloading in Mobile Edge Computing. In: IFIP/IEEE International Symposium on Integrated Network Management (IM 2021), Bordeaux, France, 17-21 May 2021, pp. 473-479. ISBN 9783903176324

Anagnostopoulos, T., Zaslavsky, A., Ntalianis, K., Anagnostopoulos, C. , Ramson, S. R. J., Shah, P. J., Behdad, S. and Salmon, I. (2021) IoT-enabled tip and swap waste management models for smart cities. International Journal of Environment and Waste Management, 28(4), pp. 521-539. (doi: 10.1504/IJEWM.2021.118862)

Puthiya Parambath, S. , Anagnostopoulos, C. , Murray-Smith, R. , MacAvaney, S. and Zervas, E. (2021) Max-Utility Based Arm Selection Strategy for Sequential Query Recommendations. In: 13th Asian Conference on Machine Learning (ACML 2021), 17-19 Nov 2021, pp. 564-579.

2020

Leyva-Pupo, I., Cervelló-Pastor, C., Anagnostopoulos, C. and Pezaros, D. P. (2020) Dynamic Scheduling and Optimal Reconfiguration of UPF Placement in 5G Networks. In: 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM ’20), Alicante, Spain, 16-20 Nov 2020, pp. 103-111. ISBN 9781450381178 (doi: 10.1145/3416010.3423221)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) A deep learning model for demand-driven, proactive tasks management in pervasive computing. Internet of Things, 1(2), pp. 240-258. (doi: 10.3390/iot1020015)

Ali, A., Anagnostopoulos, C. and Pezaros, D. P. (2020) In-Network Placement of Security VNFs in Multi-Tenant Data Centers. In: IEEE ISCC 2020, Rennes, France, 7-10 July 2020, ISBN 9781728180861 (doi: 10.1109/ISCC50000.2020.9219711)

Anagnostopoulos, C. and Kolomvatsos, K. (2020) Predictive intelligence of reliable analytics in distributed computing environments. Applied Intelligence, 50, pp. 3219-3238. (doi: 10.1007/s10489-020-01712-5)

Anagnostopoulos, C. (2020) Edge-centric inferential modeling & analytics. Journal of Network and Computer Applications, 164, 102696. (doi: 10.1016/j.jnca.2020.102696)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) A probabilistic model for assigning queries at the edge. Computing, 102, pp. 865-892. (doi: 10.1007/s00607-019-00767-8)

Alghamdi, I., Anagnostopoulos, C. and Pezaros, D. P. (2020) On the Optimality of Task Offloading in Mobile Edge Computing Environments. In: IEEE Global Communications Conference 2019, Hawaii, USA, 09-13 Dec 2019, ISBN 9781728109626 (doi: 10.1109/GLOBECOM38437.2019.9014081)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020) Aggregate Query Prediction under Dynamic Workloads. In: 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA, 09-12 Dec 2019, pp. 671-676. ISBN 9781728108582 (doi: 10.1109/BigData47090.2019.9006267)

Sagkriotis, S. , Anagnostopoulos, C. and Pezaros, D. P. (2020) Energy Usage Profiling for Virtualized Single Board Computer Clusters. In: IEEE ISCC Symposium on Computers and Communications, Barcelona, Spain, 29 June - 03 July 2019, ISBN 9781728129990 (doi: 10.1109/ISCC47284.2019.8969611)

Sagkriotis, S. , Kolomvatsos, K., Anagnostopoulos, C. , Pezaros, D. P. and Hadjiefthymiades, S. (2020) Knowledge-centric Analytics Queries Allocation in Edge Computing Environments. In: IEEE ISCC Symposium on Computers and Communications, Barcelona, Spain, 29 June - 03 July 2019, ISBN 9781728129990 (doi: 10.1109/ISCC47284.2019.8969706)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) Edge-centric queries stream management based on an ensemble model. In: Hatzilygeroudis, Ioannis, Perikos, Isidoros and Grivokostopoulou, Foteini (eds.) Advances in Integration of Intelligent Methods. Series: Smart innovation, systems and technologies (170). Springer: Singapore, pp. 27-48. ISBN 9789811519178 (doi: 10.1007/978-981-15-1918-5_2)

Karanika, A., Oikonomou, P., Kolomvatsos, K. and Anagnostopoulos, C. (2020) An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge. In: CD-MAKE Cross Domain Conference for Machine Learning and Knowledge Extraction, All-Digital Conference, 25-28 Aug 2020, pp. 517-534. ISBN 9783030573201 (doi: 10.1007/978-3-030-57321-8_29)

2019

Karanika, A., Soula, M., Anagnostopoulos, C. , Kolomvatsos, K. and Stamoulis, G. (2019) Optimized Analytics Query Allocation at the Edge of the Network. In: 12th International Conference on Internet and Distributed Computing Systems (IDCS 2019), Napoli, Italy, 10-12 Oct 2019, pp. 181-190. ISBN 9783030349134 (doi: 10.1007/978-3-030-34914-1_18)

Alghamdi, I., Anagnostopoulos, C. and Pezaros, D. P. (2019) Delay-tolerant sequential decision making for task offloading in mobile edge computing environments. Information, 10(10), 312. (doi: 10.3390/info10100312)

Aleksandrova, E., Anagnostopoulos, C. and Kolomvatsos, K. (2019) Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach. In: 18th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2019), Amsterdam, The Netherlands, 5-7 Jun 2019, ISBN 9781728138015 (doi: 10.1109/ISPDC.2019.000-4)

Kontos, T., Anagnostopoulos, C. , Zervas, E. and Hadjiefthymiades, S. (2019) Adaptive epidemic dissemination as a finite-horizon optimal stopping problem. Wireless Networks, 25(5), pp. 2315-2332. (doi: 10.1007/s11276-018-1660-0)

Alghamdi, I., Anagnostopoulos, C. and Pezaros, D. P. (2019) Time-Optimized Task Offloading Decision Making in Mobile Edge Computing. In: 11th Annual Wireless Days Conference, Manchester, UK, 24-26 Apr 2019, ISBN 9781728101170 (doi: 10.1109/WD.2019.8734210)

Nikolaou, S., Pezaros, D. and Anagnostopoulos, C. (2019) In-network Predictive Analytics in Edge Computing. In: 11th Annual Wireless Days Conference, Manchester, UK, 24-26 Apr 2019, ISBN 9781728101170 (doi: 10.1109/WD.2019.8734267)

Kolomvatsos, K. and Anagnostopoulos, C. (2019) Multi-criteria optimal task allocation at the edge. Future Generation Computer Systems, 93, pp. 358-372. (doi: 10.1016/j.future.2018.10.051)

Cahsai, A., Anagnostopoulos, C. , Ntarmos, N. and Triantafillou, P. (2019) Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations. In: 2018 IEEE International Conference on Big Data, Seattle, WA, USA, 10-13 Dec 2018, pp. 653-662. ISBN 9781538650356 (doi: 10.1109/BigData.2018.8621943)

Savva, F. , Anagnostopoulos, C. and Triantafillou, P. (2019) Explaining Aggregates for Exploratory Analytics. In: IEEE Big Data 2018, Seattle, WA, USA, 10-13 Dec 2018, pp. 478-487. ISBN 9781538650356 (doi: 10.1109/BigData.2018.8621953)

Aleksandrova, E. and Anagnostopoulos, C. (2019) Adaptive principal component analysis-based outliers detection through neighbourhood voting in wireless sensor networks. In: Comşa, Ioan-Sorin and Trestian, Ramona (eds.) Next-Generation Wireless Networks Meet Advanced Machine Learning Applications. IGI Global, pp. 255-285. ISBN 9781522574583 (doi: 10.4018/978-1-5225-7458-3.ch011)

Kolomvatsos, K., Papadopoulou, P., Anagnostopoulos, C. and Hadjiefthymiades, S. (2019) A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge. In: 18th IFIP Conference on e-Business, e-Services and e-Society (I3E 2019), Trondheim, Norway, 18-20 Sept 2019, pp. 138-150. ISBN 9783030293734 (doi: 10.1007/978-3-030-29374-1_12)

Nikolaou, S., Anagnostopoulos, C. and Pezaros, D. (2019) Communication-aware edge-centric knowledge dissemination in edge computing environments. In: Das, Himansu, Dey, Nilanjan and Balas, Valentina Emilia (eds.) Real-Time Data Analytics for Large Scale Sensor Data. Series: Advances in ubiquitous sensing applications for healthcare (6). Elsevier: London, pp. 139-156. ISBN 9780128180143 (doi: 10.1016/B978-0-12-818014-3.00007-3)

2018

Panagidi, K., Galanis, I., Anagnostopoulos, C. and Hadjiefthymiades, S. (2018) Time-Optimized Contextual Information Flow on Unmanned Vehicles. In: IEEE 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2018), Limassol, Cyprus, 15-17 Oct 2018, pp. 185-191. ISBN 9781538668764 (doi: 10.1109/WiMOB.2018.8589172)

Kolomvatsos, K. and Anagnostopoulos, C. (2018) In-Network Decision Making Intelligence for Task Allocation in Edge Computing. In: 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 5-7 Nov 2018, pp. 655-662. ISBN 9781538674499 (doi: 10.1109/ICTAI.2018.00104)

Kolomvatsos, K. and Anagnostopoulos, C. (2018) An Edge-Centric Ensemble Scheme for Queries Assignment. In: 8th International Workshop on Combinations of Intelligent Methods and Applications in conjunction with the 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos, Greece, 5-7 Nov 2018,

Harth, N. and Anagnostopoulos, C. (2018) Edge-Centric Efficient Regression Analytics. In: 2018 IEEE International Conference on Edge Computing (EDGE), San Francisco, CA, USA, 02-07 Jul 2018, pp. 93-100. ISBN 9781538672389 (doi: 10.1109/EDGE.2018.00020)

Harth, N., Anagnostopoulos, C. and Pezaros, D. (2018) Predictive intelligence to the edge: impact on edge analytics. Evolving Systems, 9(2), pp. 95-118. (doi: 10.1007/s12530-017-9190-z)

Anagnostopoulos, C. and Kolomvatsos, K. (2018) Predictive intelligence to the edge through approximate collaborative context reasoning. Applied Intelligence, 48(4), pp. 966-991. (doi: 10.1007/s10489-017-1032-y)

Harth, N., Anagnostopoulos, C. and Pezaros, D. (2018) Correction to: Predictive intelligence to the edge: impact on edge analytics. Evolving Systems, 9(1), p. 91. (doi: 10.1007/s12530-017-9210-z)

Panagidi, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2018) Optimal grouping-of-pictures in IoT video streams. Computer Communications, 118, pp. 185-194. (doi: 10.1016/j.comcom.2017.11.012)

Ali, A., Anagnostopoulos, C. and Pezaros, D. P. (2018) Resource-Aware Placement of Softwarised Security Services in Cloud Data Centers. 13th International Conference on Network and Service Management, Tokyo, Japan, 26-30 Nov 2017. ISBN 9783901882982 (doi: 10.23919/CNSM.2017.8255975)

Harth, N. and Anagnostopoulos, C. (2018) Quality-aware Aggregation & Predictive Analytics at the Edge. In: IEEE Big Data 2017, Boston, MA, USA, 11-14 Dec 2017, pp. 17-26. ISBN 9781538627150 (doi: 10.1109/BigData.2017.8257907)

Popescu, I., Portelli, K., Anagnostopoulos, C. and Ntarmos, N. (2018) The Case for Graph-Based Recommendations. In: 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, 11-14 Dec 2017, pp. 4819-4821. ISBN 9781538627150 (doi: 10.1109/BigData.2017.8258553)

2017

Kolomvatsos, K., Anagnostopoulos, C. , Marnerides, A. K. , Ni, Q., Hadjiefthymiades, S. and Pezaros, D. (2017) Uncertainty-driven Ensemble Forecasting of QoS in Software Defined Networks. In: 22nd IEEE Symposium on Computers and Communication (ISCC 2017), Heraklion Crete, Greece, 03-06 Jul 2017, (doi: 10.1109/ISCC.2017.8024701)

Harth, N., Delakouridis, K. and Anagnostopoulos, C. (2017) Convey intelligence to edge aggregation analytics. In: Yager, Ronald R. and Pascual Espada, Jordán (eds.) New Advances in the Internet of Things. Series: Studies in computational intelligence (715). Springer, pp. 25-44. ISBN 9783319581897 (doi: 10.1007/978-3-319-58190-3_2)

Kolomvatsos, K. and Anagnostopoulos, C. (2017) Reinforcement machine learning for predictive analytics in smart cities. Informatics, 4(3), 16. (doi: 10.3390/informatics4030016)

Portelli, K. and Anagnostopoulos, C. (2017) Leveraging Edge Computing through Collaborative Machine Learning. In: 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Prague, Czech Republic, 21-23 Aug 2017, pp. 164-169. ISBN 9781538632819 (doi: 10.1109/FiCloudW.2017.72)

2016

Anagnostopoulos, C. (2016) Quality-optimized predictive analytics. Applied Intelligence, 45(4), pp. 1034-1046. (doi: 10.1007/s10489-016-0807-x)

Anagnostopoulos, C. and Kolomvatsos, K. (2016) A delay-resilient and quality-aware mechanism over incomplete contextual data streams. Information Sciences, 355-56, pp. 90-109. (doi: 10.1016/j.ins.2016.03.020)

Anagnostopoulos, C. (2016) Intelligent contextual information collection in internet of things. International Journal of Wireless Information Networks, 23(1), pp. 28-39. (doi: 10.1007/s10776-015-0293-9)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2016) Contextual reasoning under uncertainty in sensor data stream monitoring. International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 3(2), pp. 1-19. (doi: 10.4018/IJMSTR.2015040101)

2015

Anagnostopoulos, C. , Kolomvatsos, K. and Hadjiefthymiades, S. (2015) An efficient time optimized scheme for progressive analytics in big data. Big Data Research, 2(4), pp. 155-165. (doi: 10.1016/j.bdr.2015.02.001)

Anagnostopoulos, T., Kolomvatsos, K., Anagnostopoulos, C. , Zaslavsky, A. and Hadjiefthymiades, S. (2015) Assessing dynamic models for high priority waste collection in smart cities. Journal of Systems and Software, 110, pp. 178-192. (doi: 10.1016/j.jss.2015.08.049)

Anagnostopoulos, C. , Kolomvatsos, K. and Hadjiefthymiades, S. (2015) A time optimized scheme for top-k list maintenance over incomplete data streams. Information Sciences, 311, pp. 59-73. (doi: 10.1016/j.ins.2015.03.035)

Anagnostopoulos, C. , Kolomvatsos, K. and Hadjiefthymiades, S. (2015) Efficient environmental monitoring system adopting data fusion, time-series prediction, & fuzzy logic. In: 6th International IEEE Conference on Information, Intelligence, Systems and Applications (IISA2015), Corfu, Greece, 6-8 Jul 2015, ISBN 9781467393119 (doi: 10.1109/IISA.2015.7388070)

Anagnostopoulos, C. , Kontos, T. and Hadjiefthymiades, S. (2015) Epidemic dissemination controlled by wireless channel awareness. In: 20th IEEE Symposium on Computers and Communications, Larnaca, Cyprus, 6-9 Jul 2015,

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2015) Intelligent contextual data stream monitoring. In: PETRA '15: 8th International Conderence on Pervasive Technologies Related to Assistive Environments, Corfu, Greece, 1-2 Jul 2015, p. 58. ISBN 9781450334525 (doi: 10.1145/2769493.2769568)

Anagnostopoulos, T., Anagnostopoulos, C. , Hadjiefthymiades, S. and Zaslavsky, A. (2015) On-line location prediction exploiting spatial and velocity context. International Journal of Wireless Information Networks, 22(1), pp. 29-40. (doi: 10.1007/s10776-014-0259-3)

Anagnostopoulos, C. and Triantafillou, P. (2015) Learning to Accurately COUNT with Query-Driven Predictive Analytics. In: IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, 29 Oct - 1 Nov 2015,

Cahsai, A., Anagnostopoulos, C. and Triantafillou, P. (2015) Scalable data quality for big data: the Pythia framework for handling missing values. Big Data, 3(3), pp. 159-172. (doi: 10.1089/big.2015.0002)

2014

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Sellers in e-marketplaces: a fuzzy Logic based decision support system. Information Sciences, 278, pp. 267-284. (doi: 10.1016/j.ins.2014.03.052)

Kontos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2014) Wireless channel state-aware and adaptive epidemic dissemination in ad hoc networks. International Journal of Wireless Information Networks, 21(1), pp. 58-67. (doi: 10.1007/s10776-013-0232-6)

Anagnostopoulos, C. , Hadjiefthymiades, S., Katsikis, A. and Maglogiannis, I. (2014) Autoregressive energy-efficient context forwarding in wireless sensor networks for pervasive healthcare systems. Personal and Ubiquitous Computing, 18(1), pp. 101-114. (doi: 10.1007/s00779-012-0621-3)

2013

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (Eds.) (2013) Intelligent technologies and techniques for pervasive computing. Series: Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Global. ISBN 9781466640382

Anagnostopoulos, C. and Hadjiefthymiades, S. (2013) Multivariate context collection in mobile sensor networks. Computer Networks, 57(6), pp. 1394-1407. (doi: 10.1016/j.comnet.2013.01.001)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Kolomvatsos, K. (2013) Efﬁcient Location Based Services for Groups of Mobile Users. In: IEEE 14th International Conference on Mobile Data Management, Milan, Italy, 3-6 June 2013, pp. 6-15. ISBN 9780769549736 (doi: 10.1109/MDM.2013.11)

Anagnostopoulos, C. , Hadjiefthymiades, S. and Zervas, E. (2013) Optimal stopping of the context collection process in mobile sensor networks. In: IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), London, UK, 8-11 Sep 2013,

Bismpikis, G., Papataxiarhis, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2013) Schism: a scheme for identification of suspicious mobile clusters for location-based services. In: IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), London, UK, 8-11 Sep 2013,

Delakouridis, C. and Anagnostopoulos, C. (2013) On enhancement of 'share the secret' scheme for location privacy. In: 9th International Workshop on Security and Trust Management (STM 2013), England, UK, 09-13 Sep 2013,

2012

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) Efficient location prediction in mobile cellular networks. International Journal of Wireless Information Networks, 19(2), pp. 97-111. (doi: 10.1007/s10776-011-0166-9)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) Swarm intelligence in autonomic computing: the particle swarm optimization case. In: Cong-Vinh, P. (ed.) Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification. Information Science Reference: Hershey, PA, USA, pp. 97-117. ISBN 9781609608453

Gerakos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) Tuning the Epidemical Algorithm in Wireless Sensor Networks. In: 7th International and 4th e-Democracy, Joint Conferences, ICGS3/e-Democracy 2011, Thessaloniki, Greece, 24-26 Aug 2011, pp. 31-37. ISBN 9783642334474 (doi: 10.1007/978-3-642-33448-1_5)

Spanoudakis, M., Lorentzos, D., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) On the use of optimal stopping theory for improving cache consistency. In: 13th International Conference on Web Information System Engineering (WISE 2012), Paphos, Cyprus, 28-30 Nov 2012,

Spanoudakis, M., Lorentzos, D., Anagnostopoulos, C. and Hadjiefthymiades, S. (2012) On the Use of Optimal Stopping Theory for Cache Consistency Checks. In: 16th Panhellenic Conference on Informatics (PCI 2012), Piraeus, Greece, 5-7 Oct 2012, pp. 327-332. ISBN 9781467327206 (doi: 10.1109/PCi.2012.71)

2011

Zervas, E., Mpimpoudis, A., Anagnostopoulos, C. , Sekkas, O. and Hadjiefthymiades, S. (2011) Multisensor data fusion for fire detection. Information Fusion, 12(3), pp. 150-159. (doi: 10.1016/j.inffus.2009.12.006)

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) An adaptive machine learning algorithm for location prediction. International Journal of Wireless Information Networks, 18(2), pp. 88-99. (doi: 10.1007/s10776-011-0142-4)

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) Mobility Prediction Based on Machine Learning. In: 12th IEEE International Conference on Mobile Data Management (MDM), 2011, Lulea, Sweden, 6-9 Jun 2011, pp. 27-30. (doi: 10.1109/MDM.2011.60)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) Context compression: using principal component analysis for efficient wireless communications. In: IEEE 12th International Conference on Mobile Data Management, Lulea, Sweden, 6-9 June 2011. IEEE, pp. 206-215. ISBN 9781457705816 (doi: 10.1109/MDM.2011.14)

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2011) Context compression: using principal component analysis for efficient wireless communications. In: IEEE 12th International Conference on Mobile Data Management, Lulea, Sweden, 6-9 June 2011. IEEE, pp. 27-30. ISBN 9781457705816 (doi: 10.1109/MDM.2011.60)

Kontos, T., Zaimidis, E., Anagnostopoulos, C. , Hadjiefthymiades, S. and Zervas, E. (2011) An adaptive epidemic information dissemination scheme with cross-layer enhancements. In: IEEE Symposium on Computers and Communications (ISCC 2011), Corfu, Greece, 28 Jun-01 Jul 2011,

2010

Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) Advanced fuzzy inference engines in situation aware computing. Fuzzy Sets and Systems, 161(4), pp. 498-521. (doi: 10.1016/j.fss.2009.09.022)

Tsetsos, V., Papadimitriou, A., Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) Integrating interactive TV services and the web through semantics. International Journal on Semantic Web and Information Systems, 6(1), pp. 1-18. (doi: 10.4018/jswis.2010010101)

Anagnostopoulos, C. , Anagnostopoulos, T. and Hadjiefthymiades, S. (2010) An adaptive data forwarding scheme for energy efficiency in Wireless Sensor Networks. In: 5th IEEE International Conference on Intelligent Systems, London, UK, 7-9 Jul 2010. IEEE, pp. 396-401. ISBN 9781424451630 (doi: 10.1109/IS.2010.5548338)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) Context discovery in mobile environments: a particle swarm optimization approach. In: Athanasius, V.V., Beraldi, R., Friedman, R. and Mamei, M. (eds.) Autonomic Computing and Communications Systems: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, September 9-11, 2009, Revised Selected Papers. Series: Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering (23). Springer Berlin Heidelberg: Heidelberg, Germany, pp. 160-175. ISBN 9783642114816 (doi: 10.1007/978-3-642-11482-3_11)

Anagnostopoulos, T., Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) An Online Adaptive Model for Location Prediction. In: Third International ICST Conference, Autonomics 2009, Limassol, Cyprus, 09-11 Sep 2009, pp. 64-78. ISBN 9783642114816 (doi: 10.1007/978-3-642-11482-3_5)

Charilas, D., Anagnostopoulos, T., Panagopoulos, A. and Anagnostopoulos, C. (2010) Cooperative networks: optimization through game theory and mobility prediction. In: Agbinya, J.L. (ed.) Planning and Optimisation of 3G and 4G Wireless Networks. Series: River Publishers series in communications, 8. River Publishers: Aalborg, Denmark, pp. 265-304. ISBN 9788792329240

Michalopoulos, M., Anagnostopoulos, C. , Doukas, C., Maglogiannis, I. and Hadjiefthymiades, S. (2010) Optimizing pervasive sensor data acquisition utilizing missing values substitution. In: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '10, Samos, Greece, 10-15 June 2010. ACM: New York, NY, USA, p. 1. ISBN 9781450300711 (doi: 10.1145/1839294.1839308)

2009

Anagnostopoulos, T., Anagnostopoulos, C. , Hadjiefthymiades, S., Kyriakakos, M. and Kalousis, A. (2009) Predicting the location of mobile users. In: Proceedings of the 2009 International Conference on Pervasive Services - ICPS '09. ACM: New York, NY, USA, pp. 65-72. ISBN 9781605586441 (doi: 10.1145/1568199.1568210)

Papadimitriou, A., Anagnostopoulos, C. , Tsetsos, V., Paskalis, S. and Hadjiefthymiades, S. (2009) Integrating semantic technologies with interactive digital TV. In: Pellegrini, T., Auer, A., Tochtermann, K. and Schaffert, S. (eds.) Networked Knowledge - Networked Media: Integrating Knowledge Management, New Media Technologies and Semantic Systems. Series: Studies in computational intelligence, 221. Springer Berlin Heidelberg: Berlin, Germany, pp. 305-320. ISBN 9783642021831 (doi: 10.1007/978-3-642-02184-8_20)

Sekkas, O., Piguet, D., Anagnostopoulos, C. , Kotsakos, D., Alyfantis, Y., Kassapoglou-Faist, C. and Hadjiethymiades, S. (2009) Probabilistic information dissemination for MANETs: the IPAC approach. In: The Internet of Things: 20th Tyrrhenian Workshop on Digital Communications, New York, NY, USA, 2-4 Sep 2009, (doi: 10.1007/978-1-4419-1674-7_37)

2008

Anagnostopoulos, C. and Hadjiefthymiades, S. (2008) On the application of epidemical spreading in collaborative context-aware computing. ACM SIGMOBILE Mobile Computing and Communications Review, 12(4), pp. 43-55. (doi: 10.1145/1508285.1508291)

Anagnostopoulos, C. , Hadjiefthymiades, S., Zervas, E. and Ntarladimas, Y. (2008) On the use of epidemical information spreading in mobile computing environments. Mediterranean Journal of Computers and Networks, 4(3), pp. 91-98.

Anagnostopoulos, C. and Hadjiefthymiades, S. (2008) Imprecise analogical and similarity reasoning about contextual information. In: Chountas, P., Petrounias, I. and Kacprzyk, J. (eds.) Intelligent Techniques and Tools for Novel System Architectures. Series: Studies in computational intelligence, 109 (2). Springer Berlin Heidelberg: Berlin, Germany, pp. 99-119. ISBN 9783540776215 (doi: 10.1007/978-3-540-77623-9_6)

Kolomvatsos, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2008) On the Use of Fuzzy Logic in a Seller Bargaining Game. In: 32nd Annual IEEE International Computer Software and Applications (COMPSAC '08), Turku, Finland, 28 Jul - 01 Aug 2008, pp. 184-191. ISBN 9780769532622 (doi: 10.1109/COMPSAC.2008.172)

2007

Anagnostopoulos, C. , Ntarladimas, Y. and Hadjiefthymiades, S. (2007) Situational computing: an innovative architecture with imprecise reasoning. Journal of Systems and Software, 80(12), pp. 1993-2014. (doi: 10.1016/j.jss.2007.03.003)

Anagnostopoulos, C. , Tsounis, A. and Hadjiefthymiades, S. (2007) Context awareness in mobile computing environments. Wireless Personal Communications, 42(3), pp. 445-464. (doi: 10.1007/s11277-006-9187-6)

Anagnostopoulos, C. , Pasias, P. and Hadjiefthymiades, S. (2007) A framework for imprecise context reasoning. In: IEEE International Conference on Pervasive Services, Istanbul, Turkey, 15-20 Jul 2007, pp. 181-184. (doi: 10.1109/PERSER.2007.4283913)

Anagnostopoulos, C. , Sekkas, O. and Hadjiefthymiades, S. (2007) Context fusion: dealing with sensor reliability. In: IEEE International Conference on Mobile Adhoc and Sensor Systems, Pisa, Italy, 8-11 Oct 2007, pp. 1-6. (doi: 10.1109/MOBHOC.2007.4428752)

Anagnostopoulos, C. , Zervas, E. and Hadjiefhymiades, S. (2007) An epidemiological model for semantics dissemination. In: MobiMedia '07: 3rd International Conference on Mobile Multimedia Communications, Brussels, Belgium, 2007,

Anagnostopoulos, T., Anagnostopoulos, C. , Hadjiefthymiades, S. and Kalousis, A. (2007) Path prediction through data mining. In: IEEE International Conference on Pervasive Services, Istanbul, Turkey, 15-20 Jul 2007, pp. 128-135. ISBN 1424413257 (doi: 10.1109/PERSER.2007.4283902)

Katsiouli, P., Papapanagiotou, P., Tsetsos, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2007) Matching relational schemata to semantic web ontologies. In: Encyclopedia of Database Technologies and Applications, 2nd Ed. IDEA Group Inc.

Papadimitriou, A., Anagnostopoulos, C. , Tsetsos, V., Paskalis, S. and Hadjiefthymiades, S. (2007) A semantics-aware platform for interactive TV services. In: 1st International Conference on New Media Technology, Graz, Austria, 2007,

Sekkas, O., Anagnostopoulos, C. and Hadjiefthymiades, S. (2007) Context fusion through imprecise reasoning. In: IEEE International Conference on Pervasive Services, Istanbul, Turkey, 15-20 Jul 2007, pp. 88-91. (doi: 10.1109/PERSER.2007.4283896)

Tsetsos, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2007) Semantic enrichment of location based services. In: Taniar, D. (ed.) Encyclopedia of Mobile Computing and Commerce. Information Science Reference: Hershey, PA. ISBN 9781599040028

Tsetsos, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2007) Semantic web service discovery: methods, algorithms and tools. In: Cardoso, J. (ed.) Semantic Web Services: Theory, Tools and Applications. Information Science Reference: Hershey, PA. ISBN 9781599040455

Zervas, E., Sekkas, O., Hadjiefthymiades, S. and Anagnostopoulos, C. (2007) Fire detection in the urban rural interface through fusion techniques. In: IEEE International Conference on Mobile Adhoc and Sensor Systems, Pisa, Italy, 8-11 Oct 2007, (doi: 10.1109/MOBHOC.2007.4428704)

2006

Tsetsos, V., Anagnostopoulos, C. , Kikiras, P. and Hadjiefthymiades, S. (2006) Semantically enriched navigation for indoor environments. International Journal of Web and Grid Services, 2(4), pp. 453-478. (doi: 10.1504/IJWGS.2006.011714)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2006) Reasoning about situation similarity. In: 3rd International IEEE Conference on Intelligent Systems, London, UK, Sept 2006. IEEE, pp. 109-114. ISBN 14244019968 (doi: 10.1109/IS.2006.348402)

Anagnostopoulos, C. , Ntarladimas, Y. and Hadjiefthymiades, S. (2006) Situation awareness: dealing with vague context. In: ACS/IEEE International Conference on Pervasive Services, Lyon, France, 26-29 Jun 2006, pp. 131-140. ISBN 1424402379 (doi: 10.1109/PERSER.2006.1652216)

Papapanagiotou, P., Katsiouli, P., Tsetsos, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2006) RONTO: relational to ontology schema matching. In: Lytras, M. (ed.) Semantic Web and Information Systems. Series: AIS SIGSEMIS Bulletin (3). AIS SIGSEMIS.

Tsetsos, V., Anagnostopoulos, C. and Hadjiefthymiades, S. (2006) On the evaluation of semantic web service matchmaking systems. In: 4th European Conference on Web Services, Zurich, Switzerland, Dec 2006, pp. 255-264. (doi: 10.1109/ECOWS.2006.28)

Tsounis, A., Anagnostopoulos, C. , Hadjiefthymiades, S. and Karali, I. (2006) Ontological engineering in pervasive computing environments. In: Taniar, D. and Rahayu, J.W. (eds.) Web Semantics and Ontology. IDEA Group Inc: Hershey, PA. ISBN 9781591409052

2005

Alonistioti, N., Anagnostopoulos, C. and Stamatelatos, G. (2005) Reconfiguration management of self- organizing system beyond 3G. In: 14th IST Mobile and Wireless Summit, Dresden, Germany, 19-23 Jun 2005,

Anagnostopoulos, C. , Magdalinos, P., Nussbaum, D., Pintenet, R., Haettel, F., Denef, Y. and Vivier, G. (2005) Reconfiguration integration scheme. In: The Object Management Group (OMG) Second Annual Software-Based Communications Workshop: Expanding the Vision, San Diego, CA, USA, 15-18 Aug 2005,

Anagnostopoulos, C. , Mpougiouris, P. and Hadjiefthymiades, S. (2005) Prediction intelligence in context aware applications. In: MDM '05, 6th International Conference on Mobile Data Management, Ayia Napa, Cyprus, 9-13 May 2005, pp. 137-141. (doi: 10.1145/1071246.1071266)

Anagnostopoulos, C. , Tsetsos, V., Kikiras, P. and Hadjiefthymiades, S. (2005) OntoNav: a semantic indoor navigation system. In: 1st Workshop on Semantics in Mobile Environments in conjunction with 6th ACM SIGMOBILE / SIGMOD International Conference on Mobile Data Management, Agua Napa, Cyprus, 2005,

Anagnostopoulos, C. , Tsounis, A. and Hadjiefthymiades, S. (2005) Context management in pervasive computing environments. In: IEEE International Conference of Pervasive Services, Santorini, Greece, 2005, pp. 421-424.

Anagnostopoulos, C. , Tsounis, A. and Hadjiefthymiades, S. (2005) Enabling attack behavior prediction in ubiquitous environments. In: IEEE International Conference of Pervasive Services, Santorini, Greece, 2005,

Tsetsos, V., Anagnostopoulos, C. , Kikiras, P., Hasiotis, T. and Hadjiefthyniiades, S. (2005) A human-centered semantic navigation system for indoor environments. In: ICPS '05. Proceedings. International Conference on Pervasive Services, 2005. IEEE, pp. 146-155. ISBN 0780390326 (doi: 10.1109/PERSER.2005.1506403)

2004

Alonistioti, N., Anagnostopoulos, C. , Alonistioti, T., Kaloxylos, A., El-Khazen, K., Vivier, G., Nussbaum, D. and Gozes, A. (2004) Evolution of E2R prototyping environment. In: IST Mobile and Wireless Summit, Lyon, France, Jun 2004,

Anagnostopoulos, C. , Tsounis, A. and Hadjiefthymiades, S. (2004) Context awareness in mobile computing: a survey. In: Mobile and Ubiquitous Information Access Workshop, 6th International Conference on Human Computer Interaction with Mobile Devices and Services, Glasgow, UK, 13-16 Sep 2004,

Stamatelatos, M., Anagnostopoulos, C. and Boufidis, Z. (2004) Enabling profile management in reconfigurable environments. In: E2R Workshop on Reconfigurable Mobile Systems and Networks Beyond 3G, Indoor and Mobile Radio Communications (PIMRC-2004), Barcelona, Spain, 5 Sep 2004,

Tsounis, A., Anagnostopoulos, C. and Hadjiefthymiades, S. (2004) The role of semantic web and ontologies in pervasive computing environments. In: Mobile and Ubiquitous Information Access Workshop, 6th International Conference on Human Computer Interaction with Mobile Devices and Services, Glasgow, UK, 13-16 Sep 2004,

This list was generated on Thu May 15 11:16:03 2025 BST.

Jump to: Articles | Book Sections | Edited Books | Conference or Workshop Item | Conference Proceedings

Number of items: 212.

Articles

Kolomvatsos, K. and Anagnostopoulos, C. (2021) Proactive, uncertainty-driven queries management at the edge. Future Generation Computer Systems, 118, pp. 75-93. (doi: 10.1016/j.future.2020.12.028)

Anagnostopoulos, C. (2020) Edge-centric inferential modeling & analytics. Journal of Network and Computer Applications, 164, 102696. (doi: 10.1016/j.jnca.2020.102696)

Kolomvatsos, K. and Anagnostopoulos, C. (2020) A probabilistic model for assigning queries at the edge. Computing, 102, pp. 865-892. (doi: 10.1007/s00607-019-00767-8)

Kolomvatsos, K. and Anagnostopoulos, C. (2019) Multi-criteria optimal task allocation at the edge. Future Generation Computer Systems, 93, pp. 358-372. (doi: 10.1016/j.future.2018.10.051)

Harth, N., Anagnostopoulos, C. and Pezaros, D. (2018) Predictive intelligence to the edge: impact on edge analytics. Evolving Systems, 9(2), pp. 95-118. (doi: 10.1007/s12530-017-9190-z)

Harth, N., Anagnostopoulos, C. and Pezaros, D. (2018) Correction to: Predictive intelligence to the edge: impact on edge analytics. Evolving Systems, 9(1), p. 91. (doi: 10.1007/s12530-017-9210-z)

Panagidi, K., Anagnostopoulos, C. and Hadjiefthymiades, S. (2018) Optimal grouping-of-pictures in IoT video streams. Computer Communications, 118, pp. 185-194. (doi: 10.1016/j.comcom.2017.11.012)

Kolomvatsos, K. and Anagnostopoulos, C. (2017) Reinforcement machine learning for predictive analytics in smart cities. Informatics, 4(3), 16. (doi: 10.3390/informatics4030016)

Anagnostopoulos, C. (2016) Quality-optimized predictive analytics. Applied Intelligence, 45(4), pp. 1034-1046. (doi: 10.1007/s10489-016-0807-x)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2013) Multivariate context collection in mobile sensor networks. Computer Networks, 57(6), pp. 1394-1407. (doi: 10.1016/j.comnet.2013.01.001)

Anagnostopoulos, C. and Hadjiefthymiades, S. (2010) Advanced fuzzy inference engines in situation aware computing. Fuzzy Sets and Systems, 161(4), pp. 498-521. (doi: 10.1016/j.fss.2009.09.022)

Book Sections

Edited Books

Conference or Workshop Item

Conference Proceedings

This list was generated on Thu May 15 11:16:03 2025 BST.

Grants

EU Horizon: An Intelligent platform for integrating climate services (TERRA); PI; 2025-2028; £2M
EU Horizon: On the use of Internet of Senses for the Cultural Heritage (ELLIE); PI; 2025-2028; £2.8M
EU Horizon: Collaborative Innovation in 3D VLSI Reliability (COIN-3D); PI; 2024-2027; £1.2M
EU Horizon: Integration and Harmonization of Logistics Operations (TRACE); PI; 2023-2026; £8.5M
UK EPSRC: Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics (CLDS); 2018-2023; Co-PI, £3M
EU H2020 Marie Skłodowska-Curie IF 2017 (MSCA): Intelligent Applications over Large Scale Data Streams (INNOVATE); 2018-2020; PI, £200K
EU H2020 Future Internet Research and Experimentation (FIRE+): Glasgow Network Functions for Unmanned Vehicles (GNFUV); 2018-2019; PI, £100K
EU Erasmus+ KA2: Personalised Recommendations and Internationalisation for MOOCs in European Schools (PRIMES), 2016-2019; co-PI, £414K
BMW Research Group: Advanced Federated Learning in Vehicle Networks, 2019-2027; PI
NXP Research: In-vehicle Edge Data Analytics, 2020-2021; co-PI
NHS Research: Risk Prediction Models in Congenital Diseases, 2021
Turing Network Development (Alan Turing Institute and EPSRC IAA): Turing Network for AI in offshore wind geotechnics, 2023; Co-PI
QTS Group Research: Enabling AI for Tackling Overgrowing Vegetation, 2024; PI

Supervision

Open PhD posts

Prospective PhD Students: feel free to contact me via e-mail and visit PhD Opportunities (Open PhD Calls).

Former PhD Students

Dr Kostas Kolomvatsos (University of Athens); 2010-2013. 'Automated Negotiations between Intelligent Entities in Electronic Marketplaces'.
Dr Theodore Anagnostopoulos (University of Athens); 2009-2012. 'Advanced Location Prediction Techniques in Mobile Computing'.
Dr Abeer Farouk Tawfeek Ali (University of Glasgow); 2017-2020. 'On the Placement of Security-related Virtualized Network Functions over Data Center Networks.'
Dr Atoshum Samuel Cahsai (University of Glasgow); 2017-2020. 'Scaling kNN Queries using Statistical Learning'
Dr Fotis Savva (University of Glasgow); 2018-2021. 'Query-driven Learning for Automating Exploratory Analytics in Large-scale Data Management Systems'
Dr Natascha Harth (University of Glasgow); 2018-2021. 'Quality-aware predictive modelling & inferential analytics at the network edge'
Dr Ibrahim Alghamdi (University of Glasgow); 2018-2021. 'Computation offloading in mobile edge computing: an optimal stopping theory approach'
Dr Qianyu Long (University of Glasgow); 2022-2025. 'Collaborative Distributed Machine Learning: from knowledge reuse to sparsification in federated learning'

Current PhD Students

Aladwani, Tahani
Diagnosis of Diseases as Cloud Computing Service (DoDaaS)
Alfahad, Saleh Abdullah M
Engineering Edge Computing with Predictive Intelligence
Alsharif, Ghadeer Obaid F
Security-by-Design Framework for the IoT
Ghanduri, Fatima H M
Predictive Intelligence of Interpretable Models in the Financial Domain
LI, WENHAO
Mini-batch Gradient-parallel Heterogeneous Ensembles for Large-scale Multi-feature Data Learning Optimization
Liu, Qianying
Deep Learning for Health Informatics
Tan, Zhuoran
Cyber Attack Chain Analysis with Federated Graph Neural Network
Wang, Qiyuan
Resource-aware & Adaptive Novelty Detection in Edge Computing Environments
Xiao, Ke
Resilient Learning in Edge Computing

Teaching

Database Systems (H/MSc)
Database Theory & Analytics (MSc IT+)

Professional activities & recognition

Prizes, awards & distinctions

2019: Best Paper Runner-Up Award (IEEE Wireless Days)
2019: 2nd Place Student Research Competition (ACM SIGMOD)
2018: Best Student Paper (IEEE BigData)
2017: Nomination for Best Dissertation Supervisor (STA University of Glasgow)
2017: Best Poster Award (BMW Workshop)
2017: Best Poster Award (International Conference of Big Data in Cyber Security)

Research fellowships

2018 - 2020: Marie Sklodowska-Curie (EU/MSCA-IF) Fellowship Supervisor
2015 - 2017: Big Data Research Fellow

Grant committees & research advisory boards

2020 - date: EU CHIST-ERA, Grant Proposal Reviewer and Panel Member
2021 - date: UK Research and Innovation Future Leaders Fellowships (FLF), Peer Review College (PRC) Member
2021 - date: Qatar National Research Fund (QNRF), Peer Reviewer
2020 - date: International Hellenic University, Faculty Board Election Member
2021 - date: Dutch Research Council, Peer Reviewer
2013 - 2014: Greek State Scholarship Foundation, Grant Fellowship Reviewer
2021 - date: Irish Research Council, Grant Reviewer
2022 - date: Austrian Science Fund (FWF), Grant Reviewer
2024 - date: Swiss National Science Foundation (SNSF), Grant Reviewer

Editorial boards

2019 - present: Open Computer Science (Editor in Chief)
2021 - present: IEEE Access (Associate Editor)
2015 - present: International Journal of Distributed Sensor Networks (Associate Editor)
2015 - present: Applied Intelligence (Associate Editor)
2022 - present: Frontiers in the Internet of Things (Associate Editor)
2022 - present: Journal of Smart Cities and Society (Associate Editor)
2016 - 2017: SI: Machine Learning and Computational Intelligence for Big Data; Journal of Machine Learning and Cybernetics (Springer)
2017 - 2018: SI: Mobile Sensor Networks; Electronics (MDPI)
2019 - 2020: SI: Distributed Artificial & Machine Intelligence in Evolving Sensor Networks, Journal of Distributed sensor Networks
2019 - 2020: SI: Recent Advancement in Edge/Fog Computing for Intelligent IoT Applications, Sensors J
2020 - 2021: SI: Intelligent Edge Computing for Smart Cities, Smart Cities J

Professional & learned societies

2017 - date: Professional Senior Member, Association of Computing Machinery (ACM)
2015 - date: Computer Society Member, IEEE (The Institute of Electrical and Electronics Engineers)
2016 - date: Associate Fellow, Higher Education Academy
2015 - date: Regular Member, INSTICC

Research datasets

Jump to: 2015

Number of items: 2.

2015

CAHSAI, A., Anagnostopoulos, C. and Triantafillou, P. (2015) Scalable data quality for big data: The Pythia framework for handling missing values. [Data Collection]

Anagnostopoulos, C. and Triantafillou, P. (2015) Learning Set Cardinality in Distance Nearest Neighbours. [Data Collection]

This list was generated on Thu May 15 16:30:39 2025 BST.

Additional information

General Chair

45th IEEE International Confernece on Distributed Computing Systems (IEEE ICDCS 2025)

Workshop Organizer

IEEE MAB-KD Workshop Chair/Organizer, IEEE International Conference on Data Mining (IEEE ICDM 2023)
IEEE EdgeAI-IoT Workshop Chair/Organizer, IEEE WF-IoT 2023
IEEE EdgeAI-IoT Workshop Chair/Organizer, IEEE WF-IoT 2022

Programme Committee Member/Co-chair

ACM SIGKDD 2025 (KDD-25)
AAAI Conference on Artificial Intelligence (AAAI-25)
ECML/PKDD 2025
Euro-Par 2024
IEEE Future Networks World Forum 2023
IEEE Special Technical Community Smart and Circular Cities
IEEE Cyber Security & Resilience IEEE CSR 2021-2023
IEEE Data Science for Cyber Security 2021-2023 (IEEE DS4CS)
IEEE Workshop on Secure IoT, Edge and Cloud systems SIoTEC 2022-2023
IEEE International Conference on Data Engineering; Intl Workshop of Data-Driven Smart Cities IEEE DASC/ICDE 2019-2023
IEEE Intelligent Systems Conference IEEE IntelliSys 2015-2023
IEEE Consumer Communications & Networking Conference IEEE CCNC 2018-2023
IEEE International Conference on Data Management Technologies and Applications (DATA 2016-2024)
IEEE International Workshop on Pervasive Intelligent Systems PIS 2017-2021
IEEE International Workshop on Distributed and Intelligent Systems DaIS 2021
IEEE International Conference on Computer Applications & Information Security IEEE ICCAIS 2021
IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2022-2023)
IEEE International Conference on Data Engineering IEEE ICDE 2016, KEYS 2016
IEEE International Conference on Computer Communications IEEE INFOCOM 2019-2021
Wireless Days 2019-2021 IEEE WD'21
IEEE International Conference on Future Internet of Things and Cloud IEEE FiCloud 2017-2018
IEEE International Workshop on Information and Knowledge in the Internet of Things IEEE IKIT 2017
7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare ICTH 2017
IEEE International Conference on Big Data 2015; Session Chair: Data mining and learning (IEEE BigData 2015)
IEEE International Conference on Information, Intelligence, Systems and Applications; Session Chair: Making Sense from Large-scale Data Streams (IEEE IISA 2016)
International Workshop on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2015-2016)
Workshop on Recent Advances in Behaviour Prediction and Pro-active Pervasive Computing (AwareCast-Pervasive 2012-2015)
International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2012-2015)
IEEE Panhellenic Conference on Informatics (PCI 2014-2021)
International Workshop on Semantic Web for Services and Processes; Session Chair (SWSP07)
International Conference on Metadata and Semantics Research (MTSR 2007)

Dr Christos Anagnostopoulos

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Dr Christos Anagnostopoulos

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