People

Professor Maria Fasli

Executive Dean (Science and Health) - Professor (R)
School of Computer Science and Electronic Engineering (CSEE)
Professor Maria Fasli

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 - 31/7/2019)

  • 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)

  • Executive Dean, Faculty of Science and Health, University of Essex (1/8/2019 - present)

Research and professional activities

Research interests

Multi-agent systems and autonomous adaptive systems

Open to supervise

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

Open to supervise

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

Open to supervise

Individual and collective user profiles profile adaptation contextualised profiles

Open to supervise

Recommender systems collaborative filtering reputation systems

Open to supervise

complex systems modelling dynamics of financial systems and markets

Open to supervise

Market mechanisms negotiation protocols strategic interaction supply chain management

Open to supervise

Semantic matching resource search cloud computing resource allocation

Open to supervise

Trust in agent societies trust mechanisms trust in decision making

Open to supervise

Formal theories of agents and multi-agent systems BDI agents

Open to supervise

Cognitive agents knowledge and belief self-reference

Open to supervise

Software engineering methodologies for agents and multi-agent systems

Open to supervise

Social dynamics regulation of agent societies roles and power institutions

Open to supervise

Self-organisation team formation

Open to supervise

Serious games for education and learning collaborative learning

Open to supervise

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

Previous supervision

Ragini Amit Gokhale
Ragini Amit Gokhale
Thesis title: Improving Classification Through Co-Training Approaches.
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 3/2/2023
Umar Isyaku Abdullahi
Umar Isyaku Abdullahi
Thesis title: Analysis of Some Domain Adaptation Methods in Causality
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 27/10/2021
Mohammed Ali A Alshahrani
Mohammed Ali A Alshahrani
Thesis title: Exploring Embedding Vectors for Emotion Detection
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 16/11/2020
Manal Abdullah N Almuammar
Manal Abdullah N Almuammar
Thesis title: Developing Learning Methods for Non-Stationary and Imbalanced Data Streams
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 1/6/2020
Olatunde Ayodeji Banjo
Olatunde Ayodeji Banjo
Thesis title: An Extended Ant Colony Optimisation Approach for the Mass Customisation Paradigm
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 19/5/2020
Jabir Abdallah Jabir Alshehabi Al-Ani
Jabir Abdallah Jabir Alshehabi Al-Ani
Thesis title: Natural Language Processing Methods for Short Informal Text
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 9/4/2020
Wulfrano Arturo Luna Ramirez
Wulfrano Arturo Luna Ramirez
Thesis title: Plan Acquisition Through Intentional Learning in Bdi Multi-Agent Systems
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 15/8/2019
Nora Yousef A Alkhamees
Nora Yousef A Alkhamees
Thesis title: Developing Event Identification Methods for Structured and Unstructured Data Streams
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 5/7/2019
Asia Ali Salman Al-Karkhi
Asia Ali Salman Al-Karkhi
Thesis title: Task Recovery in Self-Organised Multi-Agent Systems for Distributed Domains
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 15/8/2018
Umar Isyaku Abdullahi
Umar Isyaku Abdullahi
Degree subject: Advanced Computer Science
Degree type: Master of Science
Awarded date: 5/10/2016
Abdullah Nasser S Almuhaimeed
Abdullah Nasser S Almuhaimeed
Thesis title: Enhancing Recommendations in Specialist Search Through Semantic Based Techniques and Multiple Resources
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 16/9/2016
Ruaa Abdullah Jaber Alshehabi Al-Ani
Ruaa Abdullah Jaber Alshehabi Al-Ani
Degree subject: Modular Postgraduate: Cadenza
Degree type: Postgraduate Modular Study
Awarded date: 30/9/2015
Muntasir Jaber Jawad Al-Asfoor
Muntasir Jaber Jawad Al-Asfoor
Thesis title: Resource Discovery in Self-Organising Distributed Systems
Degree subject: Computing and Electronic Systems
Degree type: Doctor of Philosophy
Awarded date: 16/1/2014
Monira Essa M Aloud
Monira Essa M Aloud
Thesis title: Modelling the High-Frequency Fx Market: An Agent-Based Approach
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 29/4/2013
Ahmad Yousof Hawalah
Ahmad Yousof Hawalah
Thesis title: Modelling Dynamic and Contextual User Profiles for Personalized Services
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 23/10/2012

Publications

Publications (1)

Arcanjo, B., Ferrarini, B., Fasli, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2023). Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition

Journal articles (34)

Kolozali, S., Fasli, M., White, SL., Norris, S. and van Heerden, A., (2024). Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa. IEEE Journal of Biomedical and Health Informatics. 28 (4), 1860-1871

Schöfmann, CM., Fasli, M. and Barros, MT., (2024). Investigating Biologically Plausible Neural Networks for Reservoir Computing Solutions. IEEE Access, 1-1

Arcanjo, B., Ferrarini, B., Fasli, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2024). Aggregating Multiple Bio-Inspired Image Region Classifiers for Effective and Lightweight Visual Place Recognition. IEEE Robotics and Automation Letters. 9 (4), 3315-3322

Wang, W., Yu, Q. and Fasli, M., (2021). Altering Gaussian process to Student-t process for maximum distribution construction. International Journal of Systems Science. 52 (4), 727-755

Naz, T., Akhtar, M., Shahzad, SK., Fasli, M., Iqbal, MW. and Naqvi, MR., (2020). Ontology-driven advanced drug-drug interaction. Computers & Electrical Engineering. 86, 106695-106695

Kalliatakis, G., Ehsan, S., Leonardis, A., Fasli, M. and McDonald-Maier, KD., (2019). Exploring Object-Centric and Scene-Centric CNN Features and their Complementarity for Human Rights Violations Recognition in Images. IEEE Access. 7, 10045-10056

Luna-Ramirez, W. and Fasli, M., (2018). Bridging the Gap between ABM and MAS: A Disaster-Rescue Simulation Using Jason and NetLogo. Computers. 7 (2), 24-24

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), 893-907

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), 771-825

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), 77-77

Aloud, M. and Fasli, M., (2017). Exploring Trading Strategies and Their Effects in the Foreign Exchange Market. Computational Intelligence. 33 (2), 280-307

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), 928-928

Samothrakis, S. and Fasli, M., (2015). Emotional Sentence Annotation Helps Predict Fiction Genre. PLoS One. 10 (11), e0141922-e0141922

Hermoso, R., Lopes Cardoso, H. and Fasli, M., (2015). From roles to standards: a dynamic maintenance approach using incentives. Information Systems Frontiers. 17 (4), 763-778

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), 2884-2906

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), 809-825

Samothrakis, S. and Fasli, M., (2015). Emotional Sentence Annotation Helps Predict Fiction Genre. PloS One. 10 (11), creators-Fasli=3AMaria=3A=3A

Hawalah, A. and Fasli, M., (2015). Dynamic user profiles for web personalisation. Expert Systems with Applications. 42 (5), 2547-2569

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), 2269-2285

Hawalah, A. and Fasli, M., (2014). Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications. 41 (10), 4777-4797

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), 145-183

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), 552-568

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), 24-35

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), 3411-3426

Wan, Y. and Fasli, M., (2010). COMPARISON-SHOPPING AND RECOMMENDATION AGENTS: A RESEARCH AGENDA. JOURNAL OF ELECTRONIC COMMERCE RESEARCH. 11 (3), 175-177

Fasli, M. and Michalakopoulos, M., (2008). e-Game: A platform for developing auction-based market simulations. Decision Support Systems. 44 (2), 469-481

FASLI, M., (2007). On agent technology for e-commerce: trust, security and legal issues. The Knowledge Engineering Review. 22 (1), 3-35

Gekas, J. and Fasli, M., (2007). Employing Graph Network Analysis for Web Service Composition. International Journal of Information Technology and Web Engineering. 2 (4), 21-40

Fasli, M., (2006). Shopbots: A Syntactic Present, A Semantic Future. IEEE Internet Computing. 10 (6), 69-75

Fasli, M. and Michalakopoulos, M., (2006). Learning Through Game-like Simulations. Innovation in Teaching and Learning in Information and Computer Sciences. 5 (2), 1-11

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

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., (2003). Interrelations between the BDI primitives: Towards heterogeneous agents. Cognitive Systems Research. 4 (1), 1-22

Books (6)

(2011). Multi-Agent Systems for Education and Interactive Entertainment. IGI Global. 9781609600808

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

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

Book chapters (9)

Stamatopoulou, I., Fasli, M. and Kefalas, P., (2011). Introducing AI and IA into a Non Computer Science Graduate Programme. In: Multi-Agent Systems for Education and Interactive Entertainment. IGI Global. 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. and Virginas, B., (2009). BDI Agents: Flexibility, Personalization, and Adaptation for Web-Based Support Systems. In: Intelligent Agents in the Evolution of Web and Applications. Editors: . Springer Berlin Heidelberg. 191- 221. 9783540880707

Fasli, M., (2009). The Next Generation of Shopbots. In: Comparison-Shopping Services and Agent Designs. IGI Global. 19- 36. 9781599049786

Gekas, J. and Fasli, M., (2009). Employing Graph Network Analysis for Web Service Composition. In: Agent Technologies and Web Engineering. IGI Global. 1- 18. 9781605666181

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)

Fasli, M. and Michalakopoulos, M., (2007). Designing and Developing Electronic Market Games. In: Advanced Intelligent Paradigms in Computer Games. Editors: . Springer Berlin Heidelberg. 117- 151. 3540727043. 9783540727040

Conferences (114)

Ravana, SD., Win, MN., Dina, NZ. and Fasli, M., (2023). Embedding SDGs in Higher Education Curricula: A Case Study

Owda, M., Owda, AY. and Fasli, M., (2023). An Exploratory Data Analysis and Visualizations of Underprivileged Communities Diabetes Dataset for Public Good

Fasli, M., Owda, AY., Abbasi, T., Owda, M., Stergioulas, L. and Neupane, B., (2023). Open Government Data (OGD) Framework for Sustainable Development

Kihlman, R. and Fasli, M., (2023). Multi-label Co-training using a Graph neural network.

Samothrakis, S., Matran-Fernandez, A., Abdullahi, U., Fairbank, M. and Fasli, M., (2022). Grokking-like effects in counterfactual inference

Kihlman, R. and Fasli, M., (2022). Improving the co-training algorithm to enhance semi-supervised learning results

Fasli, M., (2022). Artificial Intelligence and Data Science for Social Good: The Case for the SDGs

Kihlman, R. and Fasli, M., (2021). Classifying human rights violations using deep multi-label co-training

Abdullahi, UI., Samothrakis, S. and Fasli, M., (2020). Causal Inference with Correlation Alignment

Almuammar, M. and Fasli, M., (2019). Learning Patterns from Imbalanced Evolving Data Streams

Alshahrani, M., Samothrakis, S. and Fasli, M., (2019). Identifying idealised vectors for emotion detection using CMA-ES

Al-Karkhi, AAS. and Fasli, M., (2019). Virtual Organizations for Resource Allocation under Random Failure in a Network of Agents

Al-Karkhi, A. and Fasli, M., (2019). Dealing with Permanent Agent Failure in Dynamic Agents Organisations

Gokhale, R. and Fasli, M., (2019). Matrix factorization for co-training algorithm to classify human rights abuses

Al-Ani, JA. and Fasli, M., (2019). Probabilistic Relational Supervised Topic Modelling using Word Embeddings

Alkhamees, N. and Fasli, M., (2019). The Dynamic-FPM: An Approach for Identifying Events from Social Networks Using Frequent Pattern Mining and Dynamic Support Values

Alani, JA. and Fasli, M., (2019). Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings

Kihlman, R. and Fasli, M., (2019). Augmenting Co-Training With Recommendations to Classify Human Rights Violations

Almuammar, M. and Fasli, M., (2019). Deep Learning for Non-stationary Multivariate Time Series Forecasting

Alkhamees, N. and Fasli, M., (2018). A Directional Change Based Trading Strategy with Dynamic Thresholds

Al-karkhi, A. and Fasli, M., (2018). Disruption Recovery within Agent Organisations in Distributed Systems

Kalliatakis, G., Ehsan, S., Fasli, M., Leonardis, A., Gall, J. and McDonald-Maier, KD., (2017). Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?

Chrysoulas, C. and Fasli, M., (2017). Building an Adaptive E-Learning System

Al-Karkhi, A. and Fasli, M., (2017). Deploying self-organisation to improve task execution in a multi-agent systems

Luna Ramirez, WA. and Fasli, M., (2017). Plan acquisition in a BDI agent framework through intentional learning

Samothrakis, S., Vodopivec, T., Fairbank, M. and Fasli, M., (2017). Convolutional-Match Networks for Question Answering

Alkhamees, N. and Fasli, M., (2017). Event detection from time-series streams using directional change and dynamic thresholds

Koumoutsos, G., Fasli, M., Lewin, I. and Milward, D., (2017). Graph-based information exploration over structured and unstructured data

Alshahrani, M., Samothrakis, S. and Fasli, M., (2017). Word mover's distance for affect detection

Almuhaimeed, A. and Fasli, M., (2017). A hybrid semantic method for enhancing movie recommendations

Almuammar, M. and Fasli, M., (2017). Pattern discovery from dynamic data streams using frequent pattern mining with multi-support thresholds

Gokhale, R. and Fasli, M., (2017). Deploying a co-training algorithm to classify human-rights abuses

Alkhamees, N. and Fasli, M., (2017). An exploration of the directional change based trading strategy with dynamic thresholds on variable frequency data streams

Abdullahi, U., Samothrakis, S. and Fasli, M., (2017). Counterfactual domain adversarial training of neural networks

Luna Ramirez, WA. and Fasli, M., (2017). Integrating NetLogo and Jason: A disaster-rescue simulation

Al-Karkhi, A. and Fasli, M., (2017). Deploying Self-Organisation to Improve Task Execution in a Multi-Agent Systems.

Alshahrani, M., Samothrakis, S., Fasli, M. and IEEE, (2017). Word Mover's Distance for Affect Detection

Almuammar, M., Fasli, M. and IEEE, (2017). Pattern Discovery from Dynamic Data Streams using Frequent Pattern Mining with Multi-Support Thresholds

Gokhale, R., Fasli, M. and IEEE, (2017). Deploying A Co-training Algorithm to Classify Human-Rights Abuses

Abdullahi, UI., Samothrakis, S., Fasli, M. and IEEE, (2017). Counterfactual Domain Adversarial Training of Neural Networks

Alkhamees, N., Fasli, M. and IEEE, (2017). An Exploration of the Directional Change Based Trading Strategy with Dynamic Thresholds on Variable Frequency Data Streams

Almuhaimeed, A., Fasli, M. and IEEE, (2017). A Hybrid Semantic Method for Enhancing Movie Recommendations

Chrysoulas, C. and Fasli, M., (2016). A service oriented QoS architecture targeting the smart grid world & machine learning aspects

Banjo, O., Stewart, D. and Fasli, M., (2016). Optimising mixed model assembly lines for mass customisation: A multi agent systems approach

Alkhamees, N. and Fasli, M., (2016). Event detection from social network streams using frequent pattern mining with dynamic support values

Samothrakis, S., Vodopivec, T., Fasli, M. and Fairbank, M., (2016). Match memory recurrent networks

Samothrakis, S., Perez-Liebana, D., Lucas, SM. and Fasli, M., (2015). Neuroevolution for General Video Game Playing

Hermoso, R. and Fasli, M., (2015). Entry Point Matters - Effective Introduction of Innovation in Social Networks

Almuhaimeed, A. and Fasli, M., (2015). A semantic method for multiple resources exploitation

Fasli, M., Hermoso, R., Sbruzzi, E. and Sena, V., (2015). Introducing innovation in social networks: A cost-benefit analysis of entry point selection

Almuhaimeed, A. and Fasli, M., (2014). Exploiting Different Bioinformatics Resources for Enhancing Content Recommendations

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

Al-Asfoor, M. and Fasli, M., (2013). Distributed Resource Search in Self-organising Networks

Lopes Cardoso, H., Hermoso, R. and Fasli, M., (2013). Policies for Role Maintenance through Incentives: How to Keep Agents on Track

Centeno, R., Hermoso, R. and Fasli, M., (2013). Extracting Reputation with Knock-Out Tournament-Based Pairwise Elicitation in Complex Social Networks

(2012). SEMANTIC RESOURCE DISCOVERY IN GRID AND MULTI-AGENT ENVIRONMENT

Zeb, MA. and Fasli, M., (2012). Dynamically Adaptive User Profiling for Personalized Recommendations

Al-Asfoor, M., Neville, B. and Fasli, M., (2012). Heuristic Resource Search in a Self-Organised Distributed Multi Agent System

Adeyanju, IA., Song, D., Albakour, M-D., Kruschwitz, U., De Roeck, A. and Fasli, M., (2012). Adaptation of the concept hierarchy model with search logs for query recommendation on intranets

Adeyanju, IA., Song, D., Albakour, M-D., Kruschwitz, U., De Roeck, A. and Fasli, M., (2012). Learning from users' querying experience on intranets

Albakour, M-D., Kruschwitz, U., Nanas, N., Adeyanju, I., Song, D., Fasli, M. and De Roeck, A., (2012). Analysis of Query Reformulations in a Search Engine of a Local Web Site

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

Al-Asfoor, M., Fasli, M. and Al-Majeed, S., (2011). A Multi-Agent System-Based Resource Advertisement Model for Grid Environments

Albakour, M-D., Kruschwitz, U., Nanas, N., Kim, Y., Song, D., Fasli, M. and De Roeck, A., (2011). AutoEval: An Evaluation Methodology for Evaluating Query Suggestions Using Query Logs

Hawalah, A. and Fasli, M., (2011). Using User Personalized Ontological Profile to Infer Semantic Knowledge for Personalized Recommendation

Hawalah, A. and Fasli, M., (2011). Improving the mapping process in ontology-based user profiles for web personalization systems

Zeb, MA. and Fasli, M., (2011). Using Semantic Relations for Representing Long-Term User Interests

Albakour, M-D., Kruschwitz, U., Nanas, N., Song, D., Fasli, M. and De Roeck, A., (2011). Exploring Ant Colony Optimisation for Adaptive Interactive Search

Albakour, M-D., Kruschwitz, U., Adeyanju, I., Song, D., Fasli, M. and De Roeck, A., (2011). Enriching Query Flow Graphs with Click Information

Hawalah, A. and Fasli, M., (2011). A graph-based approach to measuring semantic relatedness in ontologies

Zeb, MA. and Fasli, M., (2011). Interest Aware Recommendations Based on Adaptive User Profiling

Hawalah, A. and Fasli, M., (2011). A Multi-agent System Using Ontological User Profiles for Dynamic User Modelling

Albakour, MD., Kruschwitz, U., Nanas, N., Neville, B., Lungely, D. and Fasli, M., (2011). University of essex at the TREC 2011 session track

Kruschwitz, U., Albakour, M-D., Niu, J., Leveling, J., Nanas, N., Kim, Y., Song, D., Fasli, M. and De Roeck, A., (2011). Moving towards Adaptive Search in Digital Libraries

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

Khdour, T. and Fasli, M., (2010). A Semantic-Based Web Service Registry Filtering Mechanism

Kovalchuk, Y. and Fasli, M., (2010). A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management

Albakour, MD., Kruschwitz, U., Niu, J. and Fasli, M., (2010). University of essex at the TREC 2010 session track

Dignum, S., Kruschwitz, U., Fasli, M., Kim, Y., Song, D., Beresi, UC. and de Roeck, A., (2010). Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs

Malibary, A. and Fasli, M., (2009). Modelling SCM as a Multi-layer Interconnected Constraint Satisfaction Problem

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). Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management

Kovalchuk, Y. and Fasli, M., (2008). Adaptive strategies for predicting bidding prices in supply chain management

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

Buffett, S. and Fasli, M., (2007). TAC-REM – The Real Estate Market Game: A Proposal for the Trading Agent Competition

(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

González, CRJ. and Fasli, M., (2006). Socrates: A Production-Driven SCM Agent

Fasli, M., (2006). On the relationship between roles and power

Fasli, M., (2005). On the Interplay of Roles and Power

Michalakopoulos, M. and Fasli, M., (2005). On Deciding to Trust

Fasli, M. and Michalakopoulos, M., (2005). Supporting active learning through game-like exercises

Gekas, J. and Fasli, M., (2005). Automatic Web Service Composition Based on Graph Network Analysis Metrics

Michalakopoulos, M. and Fasli, M., (2005). On Different Trust Attitudes and Their Effects on the Electronic Marketplace

Fasli, M. and Michalakopoulos, M., (2005). Designing and implementing e-Market games

Fasli, M., (2004). Accounting for social order in multi-agent systems:preliminary report

Fasli, M. and Michalakopoulos, M., (2004). e-Game:a generic auction platform supporting customizable market games

Fasli, M., (2003). Reasoning about Knowledge and Belief: A Syntactical Treatment

Fasli, M., (2003). From Social Agents to Multi-agent Systems: Preliminary Report

Fasli, M., (2003). Social interactions in multi-agent systems: a formal approach

Fasli, M., (2003). Reasoning about the dynamics of social behaviour

Fasli, M., Korres, I., Michalakopoulos, M. and Rallidis, G., (2002). Building trading agents: Challenges and strategies

Fasli, M., (2002). On Commitments, Roles, and Obligations

DINVERNO, M., LUCK, M. and 2001 Contributors, UKMAS., (2002). Practical and theoretical innovations in multi-agent systems research

Fasli, M., (2001). Conceptualizing BDI agents for financial markets

Fasli, M., (2001). On Obligations, Relativised Obligations, and Bilateral Commitments

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

Fasli, M. and Kruschwitz, U., (2001). Using Implicit Relevance Feedback in a Web Search Assistant

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

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

Fasli, M., (1999). Towards a syntactic approach for the representation of the propositional attitudes

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

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

Reports and Papers (6)

Fasli, M. and Poursanidis, N., CSM-388 Thalis: A Flexible Trading Agent

Fasli, M., CSM-389 Reasoning about the dynamics of social behaviour

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, KD., (2019). GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, K., (2019). DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level

Grants and funding

2023

Business and Local Government Data Research Centre Legacy Status Proposal

Economic and Social Research Council

2019

ESRC BLG DRC Data Service/Infrastructure bid (Bronze Option)

Economic and Social Research Council

AI-Assisted Decision-Making System for Cancer Pathways of the Colchester Hospital

East Suffolk and North Essex NHS Foundation Trust

FJG

Innovate UK (formerly Technology Strategy Board)

2018

Discovering Individual and Social Preferences through Inverse Reinforcement Learning

Economic and Social Research Council

Business and Local Government Data Research Centre (BLG DRC)

Economic and Social Research Council

Develop AI methods to optimise interactions with customers.

Innovate UK (formerly Technology Strategy Board)

Provide KTP 2018

Innovate UK (formerly Technology Strategy Board)

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

The project investigates the use of algorithms (genetic + reinforcement) to provide accurate forecasts of asset prices.

Innovate UK (formerly Technology Strategy Board)

Embedding a Machine Learning capability into the Hood Group Ltd platform.

Innovate UK (formerly Technology Strategy Board)

Embedding a Machine Learning capability into the Hood Group Ltd platform.

Hoodgroup Ltd

Create new methods of capturing insight from current and future Preqin datasets by embedding AI and Machine Learning techniques across the unique Preqin investor platform.

Prequin

Create new methods of capturing insight from current and future Preqin datasets by embedding AI and Machine Learning techniques across the unique Preqin investor platform.

Prequin

The project investigates the use of algorithms (genetic + reinforcement) to provide accurate forecasts of asset prices.

Innovate UK (formerly Technology Strategy Board)

To embed a NLP capability in Objective IT

Innovate UK (formerly Technology Strategy Board)

To embed a NLP capability in Objective IT

Innovate UK (formerly Technology Strategy Board)

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

Location:

6.313, Colchester Campus