Dr Christos Anagnostopoulos
- Lecturer in Distributed & Pervasive Computing (Computing Science)
Dr Christos (Chris) Anagnostopoulos is a Lecturer (Assistant Professor) in Distributed and Pervasive Computing in the School of Computing Science at the University of Glasgow. His expertise is in the areas of network-centric data management systems and in-network information processing in large-scale distributed computing networks. He has received funding for his research by the EC/H2020 and the industry. Dr Anagnostopoulos is coordinating (PI) the projects: EU H2020/GNFUV and EU H2020 Marie Skłodowska-Curie (MSCA)/INNOVATE, and is a co-PI of the EU PRIMES and UK EPSRC CLDS. Dr Anagnostopoulos is an author of over 140 refereed scientific journals/conferences [scholar], [dblp]. He is leading the Essence: Pervasive & Distributed Intelligence within the Knowledge and Data Engineering Systems Group (IDA Research Section). He is also an associate member of the Networked Systems Research (NETLAB). Dr Anagnostopoulos before joining Glasgow was an Assistant Professor at Ionian University and Adjunct Assistant Professor at the University of Athens and University of Thessaly. He has held postdoctoral positions at University of Glasgow and University of Athens in the areas of in-network context-aware mobile computing systems. He holds a BSc, MSc, and PhD in Computing Science, University of Athens. He is an associate fellow of the HEA, member of ACM and IEEE.
Research Lab: Essence: Pervasive & Distributed Intelligence
Chris' interests and contributions are in network-centric data management systems and in-network processing in large-scale systems. Throughout his career, Chris has been conducting research in distributed algorithms for machine learning and stochastic optimization, epidemical-based information and knowledge diffusion in DTNs, mobile computing environments, and inferential analytics at the network Edge. Currently, Chris has established analytical models & algorithms for in-network and decentralized data processing focusing on edge-centric models (visit: Essence for all the research topics). Chris has published extensively in top journals, ACM/IEEE Transactions, and conferences in the above areas and his research has been funded by EU and EPSRC research grants and industry. He is member of the ACM and IEEE.
Google Scholar: [citations]
DBLP Record [link]
Funded Research Projects
[*] 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) 2018-2022
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, 2019-2020.
PI: Dr C Anagnostopoulos
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. , 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)
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. , 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. , 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)
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, 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. , 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)
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)
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)
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)
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)
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 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)
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)
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)
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. 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)
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)
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 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. 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)
Panagidi, K., Anagnostopoulos, C. , Chalvatzaras, A. and Hadjietfthymiades, S. (2019) To transmit or not to transmit: controlling the communications in the mobile IoT domain. ACM Transactions on Internet Technology, (Accepted for Publication)
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 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)
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. , 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)
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)
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)
- EU H2020 Marie Skłodowska-Curie IF 2017 (MSCA): Intelligent Applications over Large Scale Data Streams (INNOVATE); 2018-2020; PI, £200K
- UK EPSRC: Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics (CLDS); 2018-2022; co-PI, £3M
- 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, 2019-2020; PI
Open PhD posts
- Prospective PhD Students: feel free to contact me via e-mail and visit my lab Essence: Pervasive & Distributed Intelligence [PhD Opportunities] and [School's PhD].
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 Farouk Tawfeek Ali, Abeer (University of Glasgow); 2017-2020. 'On the Placement of Security-related Virtualized Network Functions over Data Center Networks.'
Current PhD Students
- Sagkriotis, Stefanos NFV Orchestration & Management
- Inglish, Peter Privacy Conflict Management in Software
- Alghamdi Ibrahim Ahmed I
Adaptive-Collaborative Cloud Computing Resource Allocation System
- Cahsai Atoshum
I260 - Employing Machine Learning Techniques to Expedite Complex Query Processing
- Harth Natascha
Analytics Learning and Knowledge Mining for Big Data Exploration in IoT Environments
- Ma Wei
Scalable Efficient Multi-System Complex-Query Data Analytics
- Sagkriotis Stefanos
Containerised NFV orchestration and management
- Savva Fotis
Query-Driven Learning for Automating Exploratory & Predictive Analytics in Large-scale Data Management Systems
Professional activities & recognition
- 2018 - 2020: Marie Sklodowska-Curie (EU/MSCA-IF) Fellowship Supervisor
- 2015 - present: Applied Intelligence (Springer)
- 2015 - present: International Journal of Distributed Sensor Networks (SAGE)
- 2019 - present: Open Computer Science (De Gruyter)
- 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
Programme Committee Member
- IEEE SMC International Workshop on Pervasive Intelligent Systems PIS 2017--2020
- IEEE International Conference on Data Engineering; Intl Workshop of Data-Driven Smart Cities IEEE DASC/ICDE 2019--2020
- IEEE International Conference on Computer Communications IEEE INFOCOM 2019
- IEEE Consumer Communications & Networking Conference IEEE CCNC 2019
- Wireless Days 2019 (IEEE WD'19)
- IEEE/SAI Future Technologies Conference SAI FTC 2017--2020
- IEEE International Conference on Future Internet of Things and Cloud IEEE FiCloud 2018
- IEEE Future Technology Conference IEEE FTC 2018
- IEEE Intelligent Systems Conference (IEEE IntelliSys 2015--2020)
- IEEE Consumer Communications & Networking Conference (IEEE CCNC 2018)
- IEEE International Conference on Future Internet of Things (IEEE FiCloud 2017)
- IEEE International Workshop on Information and Knowledge in the Internet of Things (IEEE IKIT 2017)
- IEEE SMC International Workshop on Pervasive Information Systems (WorldCIST 2017 -- 2019)
- 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)
- IEEE International Conference on Data Engineering (IEEE ICDE 2016, KEYS 2016)
- International Workshop on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2015--2016)
- IEEE International Conference on Data Management Technologies and Applications (DATA 2016--2020)
- 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--2020)
- International Workshop on Semantic Web for Services and Processes; Session Chair (SWSP07);
- International Conference on Metadata and Semantics Research (MTSR 2007);
Reviewer Board Member
- ACM Transactions Journals: ACM Transactions on Data Science (ACM TDS), ACM Transactions on Intelligent Systems and Technology (ACM TIST); IEEE/ACM Transactions on Networking (ACM/IEEE TON); ACM Transactions on Wireless Sensor Networks (ACM TOSN).
- IEEE Transactions Journals: IEEE Transactions on Evolutionary Computation (IEEE TEC); IEEE Transactions on Mobile Computing (IEEE TMC); IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS); IEEE Journal on Selected Areas in Communications (IEEE JSAC); IEEE Transactions on Knowledge and Data Engineering (TKDE); Proceedings of the IEEE; IEEE Transactions on Intelligent Transportation Systems (IEEE TITS); IEEE Transactions on Vehicular Technology (IEEE TVT); IEEE Transactions on Fuzzy Systems (IEEE TFS); IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
- Elsevier Journals: Journal of Parallel and Distributed Systems (JPDC); Journal of Pervasive and Mobile Computing (PMC); Journal of Systems and Software (JSS); Information Sciences (IS); Applied Mathematical Modelling (AMM); Computer Networks (COMNET); Computer Communications (COMCOM).
- Springer Journals: Journal of Internet Services and Applications (JISA); Wireless Networks (WiNet); International Journal of Machine Learning and Cybernetics (IJMLC); Applied Intelligence (APIN); Journal of Network and Systems Management (JNSM).
- Oxford University Press: The Computer Journal.