People

Professor Maria Fasli

Professor
School of Computer Science and Electronic Engineering (CSEE)
Professor Maria Fasli
  • Email

  • Telephone

    +44 (0) 1206 872327

  • Location

    1NW.4.20, Colchester Campus

Profile

Biography

Higher Education Academy National Teaching Fellow (2005)

Qualifications

  • Ph.D. in Computer Science, thesis title: Commodious Logics of Agents, Department of Computer Science, University of Essex, UK. (2000)

  • BSc in Computer Science, Technological Educational Institution of Thessaloniki (T.E.I.), Department of Informatics (1995)

  • Certificate in Education, School of Teachers of Technical and Vocational Education (S.E.L.E.T.E.), Thessaloniki, Greece, (1992)

Appointments

University of Essex

  • Director, Institute for Analytics and Data Science University of Essex ( 1/8/2014 - present )

  • Head of School, School of Computer Science and Electronic Engineering University of Essex ( 1/8/2009 - 31/12/2014 )

  • Professor, School of Computer Science and Electronic Engineering University of Essex ( 1/10/2012 - present )

  • Senior Lecturer, School of Computer Science and Electronic Engineering University of Essex ( 1/10/2007 - 30/9/2012 )

  • Lecturer, Department of Computer Science University of Essex ( 1/1/2000 - 30/9/2007 )

Research and professional activities

Research interests

Multi-agent systems and autonomous adaptive systems

Data exploration analysing and modelling complex data Big data analysis and modelling of structured and unstructured data

Machine learning modelling opponents learning behaviours from data

Reasoning and analytics over multiple streams of data Internet of Things (IoT) reasoning and analytics

Individual and collective user profiles profile adaptation contextualised profiles

Recommender systems collaborative filtering reputation systems

complex systems modelling dynamics of financial systems and markets

Market mechanisms negotiation protocols strategic interaction supply chain management

Semantic matching resource search cloud computing resource allocation

Trust in agent societies trust mechanisms trust in decision making

Formal theories of agents and multi-agent systems BDI agents

Cognitive agents knowledge and belief self-reference

Software engineering methodologies for agents and multi-agent systems

Social dynamics regulation of agent societies roles and power institutions

Self-organisation team formation

Serious games for education and learning collaborative learning

Current research

agents and multi-agent systems and their theoretical foundations and practical applications

the analysis and modelling of complex and big data that can be structured or unstructured

user profiling

recommendation techniques and semantic information extraction

trust mechanisms

self-organisation in distributed systems

Teaching and supervision

  • Navigating the Digital World (CS220)

Publications

Journals (28)

Chrysoulas, C. and Fasli, M., (2017). Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid. Journal of Communications Software and Systems. 13 (2)

Aloud, M., Fasli, M., Tsang, E., Dupuis, A. and Olsen, R., (2017). Modeling the High-Frequency FX Market: An Agent-Based Approach. Computational Intelligence. 33 (4)

Samothrakis, S., Fasli, M., Perez, D. and Lucas, S., (2017). Default policies for global optimisation of noisy functions with severe noise. Journal of Global Optimization. 67 (4)

Aloud, M. and Fasli, M., (2017). Exploring Trading Strategies and Their Effects in the Foreign Exchange Market. Computational Intelligence. 33 (2)

Ehsan, S., Clark, A., Leonardis, A., ur Rehman, N., Khaliq, A., Fasli, M. and McDonald-Maier, K., (2016). A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Remote Sensing. 8 (11)

Samothrakis, S. and Fasli, M., (2015). Emotional Sentence Annotation Helps Predict Fiction Genre. PLOS ONE. 10 (11)

Neville, B., Fasli, M. and Pitt, J., (2015). Utilising social recommendation for decision-making in distributed multi-agent systems. Expert Systems with Applications. 42 (6)

Hermoso, R., Lopes Cardoso, H. and Fasli, M., (2015). From roles to standards: a dynamic maintenance approach using incentives. Information Systems Frontiers. 17 (4)

Centeno, R., Hermoso, R. and Fasli, M., (2015). On the inaccuracy of numerical ratings: dealing with biased opinions in social networks. Information Systems Frontiers. 17 (4)

Hawalah, A. and Fasli, M., (2015). Dynamic user profiles for web personalisation. Expert Systems with Applications. 42 (5)

Samothrakis, S. and Fasli, M., (2015). Emotional Sentence Annotation Helps Predict Fiction Genre. PloS One. 10 (11)

Hawalah, A. and Fasli, M., (2014). Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications. 41 (10)

Hermoso, R., Centeno, R. and Fasli, M., (2014). From blurry numbers to clear preferences: A mechanism to extract reputation in social networks. Expert Systems with Applications. 41 (5)

Aloud, M., Fasli, M., Tsang, E., Dupuis, A. and Olsen, R., (2013). Stylized Facts of the FX Market Transactions Data: An Empirical Study. Journal of Finance and Investment Analysis. 2 (4)

Niu, J., Cai, K., Parsons, S., Fasli, M. and Yao, X., (2012). A grey-box approach to automated mechanism design. Electronic Commerce Research and Applications. 11 (1)

Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., Beresi, UC., Fasli, M. and De Roeck, A., (2012). Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management. 48 (3)

Fasli, M. and Kovalchuk, Y., (2011). Learning Approaches for Developing Successful Seller Strategies in Dynamic Supply Chain Management. International Journal of Information Sciences. 181 (16)

Wan, Y. and Fasli, M., (2010). COMPARISON-SHOPPING AND RECOMMENDATION AGENTS: A RESEARCH AGENDA. JOURNAL OF ELECTRONIC COMMERCE RESEARCH. 11 (3)

Fasli, M. and Michalakopoulos, M., (2008). e-Game: A platform for developing auction-based market simulations. Decision Support Systems. 44 (2)

FASLI, M., (2007). On agent technology for e-commerce: trust, security and legal issues. The Knowledge Engineering Review. 22 (01)

Gekas, J. and Fasli, M., (2007). Employing Graph Network Analysis for Web Service Composition. International Journal of Information Technology and Web Engineering. 2 (4)

Fasli, M., (2006). Shopbots: A Syntactic Present, A Semantic Future. IEEE Internet Computing. 10 (6)

Fasli, M. and Michalakopoulos, M., (2006). Learning Through Game-like Simulations. Innovation in Teaching and Learning in Information and Computer Sciences. 5 (2)

Fasli, M., (2004). Formal systems ∧ agent-based social simulation = ⊥?. JASSS. 7 (4)

Fasli, M., (2004). Formal systems Lambda agent-based social simulation=perpendicular to?. JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION. 7 (4)

Fasli, M., (2004). Formal Systems and Agent-Based Social Simulation Equals Null?. J. Artificial Societies and Social Simulation. 7

Fasli, M., (2003). Interrelations between the BDI primitives: Towards heterogeneous agents. Cognitive Systems Research. 4 (1)

Kalliatakis, G., Ehsan, S., Fasli, M., Leonardis, A., Gall, J. and McDonald-Maier, KD., Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?

Conferences (23)

Chrysoulas, C. and Fasli, M., (2017). Building an adaptive E-learning system

Almuhaimeed, A. and Fasli, M., (2014). Exploring and exploiting knowledge in multiple resources

Al-Asfoor, M. and Fasli, M., (2012). A study of multi agent based resource search algorithms

Zeb, MA. and Fasli, M., (2011). Adaptive user profiling for deviating user interests

Hawalah, A. and Fasli, M., (2011). A hybrid re-ranking algorithm based on ontological user profiles

Dignum, S., Kim, Y., Kruschwitz, U., Song, D., Fasli, M. and De Roeck, A., (2009). Using domain models for context-rich user logging

Kovalchuk, Y. and Fasli, M., (2008). Evaluating adaptive customer strategies in TAC SCM

Kovalchuk, Y. and Fasli, M., (2008). Deploying Neural-Network-Based Models for Dynamic Pricing

(2007). Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets, AAMAS 2006 Workshop, TADA/AMEC 2006, Hakodate, Japan, May 9, 2006, Selected and Revised Papers

Fasli, M., (2001). Heterogeneous BDI Agents I: Bold Agents.

Fasli, M., (2000). Towards Realistic Models of Agents: Preliminary Report.

Fasli, M., (2000). Towards circumspect BDI agents: Preliminary report

Fasli, M., (1999). Towards a First-Order Approach for Social Agents: Preliminary Report.

Fasli, M., (1999). Reasoning with Common Knowledge and Self-Reference in Multy-Agent Systems.

Alkhamees, N. and Fasli, M., A Directional Change Based Trading Strategy with Dynamic Thresholds

Alkhamees, N. and Fasli, M., Event detection from time-series streams using directional change and dynamic thresholds

Koumoutsos, G., Fasli, M., Lewin, I. and Milward, D., Graph-based information exploration over structured and unstructured data

Alshahrani, M., Samothrakis, S. and Fasli, M., Word mover's distance for affect detection

Almuhaimeed, A. and Fasli, M., A hybrid semantic method for enhancing movie recommendations

Almuammar, M. and Fasli, M., Pattern discovery from dynamic data streams using frequent pattern mining with multi-support thresholds

Gokhale, R. and Fasli, M., Deploying a co-training algorithm to classify human-rights abuses

Alkhamees, N. and Fasli, M., An exploration of the directional change based trading strategy with dynamic thresholds on variable frequency data streams

Abdullahi, U., Samothrakis, S. and Fasli, M., Counterfactual domain adversarial training of neural networks

Chapters (7)

Stamatopoulou, I., Fasli, M. and Kefalas, P., (2010). Introducing AI and IA into a non computer science graduate programme. In: Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience. 89- 100. 9781609600808

Stamatopoulou, I., Fasli, M. and Kefalas, P., (2010). Teaching AI and IA into a non-science graduate programme. In: Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience. Editors: Beer, M., Fasli, M. and Richards, D., . IGI Global. 89- 100. 9781609600808

Fasli, M., (2009). The next generation of shopbots: Semantic interoperability and personalization. In: Comparison-Shopping Services and Agent Designs. 19- 36. 9781599049786

Nanas, N., Kruschwitz, U., Albakour, M., Fasli, M., Song, D., Kim, Y., Cervino, U. and De Roeck, A., (2009). A Methodology for Simulated Experiments in Interactive Search. In: Proceedings of the SIGIR 2010 Workshop on Simulation of Interaction (SimInt). Editors: Azzopardi, L., J�rvelin, K., Kamps, J. and Smucker, MD., . IR Publications. 23- 24. 9789081448536

Dignum, S., Kim, Y., Kruschwitz, U., Song, D., Fasli, M. and De Roeck, A., (2009). Moving towards Adaptive Search. In: Proceedings of the Workshop on Advanced Technologies for Digital Libraries (AT4DL). Editors: Bernard, R., Chambers, S. and Gottfried, B., . Bozen/Bolzano University Press. 9788860460301

Stamatopoulou, I., Fasli, M. and Kefalas, P., (2009). Teaching AI and IA into a non-science graduate programme. In: Proceedings of the Educational Uses of Multi-agent Systems (EduMAS) Workshop, at the Eighth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2009), Budapest, Hungary, 12 May, 2009. Editors: Beer, M., Fasli, M. and Richards, D., . International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)

Gekas, J. and Fasli, M., (2008). Employing graph network analysis for web service composition. In: Agent Technologies and Web Engineering: Applications and Systems. 1- 18. 9781605666181

Books (5)

Beer, M., Fasli, M. and Richards, D., (2010).Proceedings of the International Workshop on Multi-agent systems for Education and Interactive Entertainment (MASEIE), held in conjunction with the Autonomous Agents and Multi-Agent Systems (AAMAS) Conference, 11 May 2010, Toronto, Canada. International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)

Beer, M., Fasli, M. and Richards, D., (2009).Proceedings of the Educational Uses of Multi-Agent Systems (EduMAS) Workshop. International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)

Fasli, M., (2008).Proceedings of the 4th Artificial Intelligence in Education Workshop. Higher Education Academy Psychology Network. 9780955967634

Fasli, M., (2007).Agent Technology For E-Commerce. Wiley. 9780470030301

Fasli, M. and Shehory, O., (2007).Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics: Preface. 9783540725015

Grants and funding

2017

Scoping Exercise and feasibility study with Jiangsu Credit Re-Guarantee

Essex and Jiangsu Province Credits Re-guarantee Group Co Ltd

Scoping Exercise and feasibility study with Jiangsu Credit Re-Guarantee

Essex and Jiangsu Province Credits Re-guarantee Group Co Ltd

2016

67% Embedding an innovative application of advanced data mining, data analytics and data visualisation to exploit the growth potential of the UK's leading insight platform for professional services firms

Technology STrategy Board

33% Embedding an innovative application of advanced data mining, data analytics and data visualisation to exploit the growth potential of the UK's leading insight platform for professional services firms

Mondaq Ltd

67% - The design and development of a scalable, avatar based, digital healthcare platform, driven by AI and Machine Learning technology.

Technology STrategy Board

33% - The design and development of a scalable, avatar based, digital healthcare platform, driven by AI and Machine Learning technology.

Orbital Media & Advertising Ltd.

Scoping Exercise for new data product

Hood Group Ltd

2015

Utilising Big Data in the Practice of Torture Survivors' Rehabilitation

Economic & Social Research Council

67% - To extend the business intelligence and digital marketing offer by developing and embedding a new data analytics capability

Technology STrategy Board

33% - To extend the business intelligence and digitial marketing offer by developing and embedding a new data analytics capability

Objective Computing Ltd

Data & Database Review

General

Utilising Big Data in the Practice of Torture Survivors' Rehabilitation

Economic & Social Research Council

2014

Smart Data Analytics for Business and Local Government

Economic & Social Research Council

Innovative tools to enable exploration of complex and specialised data sets

Technology STrategy Board

DADO - Data Analytics Driven by Ontologies

Engineering & Physical Sciences Res.Council

2012

RoBoSAS

Engineering & Physical Sciences Res.Council

Contact

mfasli@essex.ac.uk
+44 (0) 1206 872327

Location:

1NW.4.20, Colchester Campus