ÌÇÐÄVlog

People

Professor Maria Fasli

Acting Vice-Chancellor
Office of the Vice-Chancellor
Professor Maria Fasli
  • Email

  • Telephone

    +44 (0) 1206 872000

  • Location

    5S.5.4B, 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, ÌÇÐÄVlog, 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

ÌÇÐÄVlog

  • Director, Institute for Analytics and Data Science, ÌÇÐÄVlog (1/8/2014 - 31/7/2019)

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

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

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

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

  • Executive Dean, Faculty of Science and Health, ÌÇÐÄVlog (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 (35)

Kolozali, S., Fasli, M., White, SL., Norris, S. and van Heerden, A., (2024). . IEEE Journal of Biomedical and Health Informatics. 28 (4), 1860-1871

Schöfmann, CM., Fasli, M. and Barros, MT., (2024). . IEEE Access. 12, 50698-50709

Arcanjo, B., Ferrarini, B., Fasli, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2024). . IEEE Robotics and Automation Letters. 9 (4), 3315-3322

Liu, Y., Yu, W., Zhai, X., Zhang, B., McDonald-Maier, K. and Fasli, M., (2024). . Applied Energy. 372, 123724-123724

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). . IEEE Access. 7, 10045-10056

Luna-Ramirez, W. and Fasli, M., (2018). . Computers. 7 (2), 24-24

Samothrakis, S., Fasli, M., Perez, D. and Lucas, S., (2017). . Journal of Global Optimization. 67 (4), 893-907

Aloud, M., Fasli, M., Tsang, E., Dupuis, A. and Olsen, R., (2017). . Computational Intelligence. 33 (4), 771-825

Chrysoulas, C. and Fasli, M., (2017). . Journal of Communications Software and Systems. 13 (2), 77-77

Aloud, M. and Fasli, M., (2017). . Computational Intelligence. 33 (2), 280-307

Ehsan, S., Clark, A., Leonardis, A., ur Rehman, N., Khaliq, A., Fasli, M. and McDonald-Maier, K., (2016). . Remote Sensing. 8 (11), 928-928

Samothrakis, S. and Fasli, M., (2015). . PLoS One. 10 (11), e0141922-e0141922

Hermoso, R., Lopes Cardoso, H. and Fasli, M., (2015). . Information Systems Frontiers. 17 (4), 763-778

Neville, B., Fasli, M. and Pitt, J., (2015). . Expert Systems with Applications. 42 (6), 2884-2906

Centeno, R., Hermoso, R. and Fasli, M., (2015). . 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). . Expert Systems with Applications. 42 (5), 2547-2569

Hermoso, R., Centeno, R. and Fasli, M., (2014). . Expert Systems with Applications. 41 (5), 2269-2285

Hawalah, A. and Fasli, M., (2014). . Expert Systems with Applications. 41 (10), 4777-4797

Aloud, M., Fasli, M., Tsang, E., Dupuis, A. and Olsen, R., (2013). . 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). . Information Processing & Management. 48 (3), 552-568

Niu, J., Cai, K., Parsons, S., Fasli, M. and Yao, X., (2012). . Electronic Commerce Research and Applications. 11 (1), 24-35

Fasli, M. and Kovalchuk, Y., (2011). . International Journal of Information Sciences. 181 (16), 3411-3426

Wan, Y. and Fasli, M., (2010). . JOURNAL OF ELECTRONIC COMMERCE RESEARCH. 11 (3), 175-177

Fasli, M. and Michalakopoulos, M., (2008). . 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). . International Journal of Information Technology and Web Engineering. 2 (4), 21-40

Fasli, M., (2006). . IEEE Internet Computing. 10 (6), 69-75

Fasli, M. and Michalakopoulos, M., (2006). . 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 Λ agent-based social simulation=⊥?. 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). . IGI Global. 9781609600808

Beer, M., Fasli, M. and Richards, D., (2010). . International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)

Beer, M., Fasli, M. and Richards, D., (2009). . International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)

Fasli, M., (2008). . 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

Fasli, M., (2007). . Wiley. 9780470030301

Book chapters (9)

Stamatopoulou, I., Fasli, M. and Kefalas, P., (2011). . 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). . In: Studies in Computational Intelligence. Editors: . Springer Berlin Heidelberg. 191- 221. 9783540880707

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

Gekas, J. and Fasli, M., (2009). . 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). . 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). . 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). . 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: Studies in Computational Intelligence. Editors: . Springer Berlin Heidelberg. 117- 151. 9783540727040

Conferences (115)

Raza, H., Rathee, D., Amorim, R. and Fasli, M., (2024).

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).

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).

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).

Al-Ani, JA. and Fasli, M., (2019).

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).

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).

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

Al-Karkhi, A. and Fasli, M., (2017).

Luna Ramirez, WA. and Fasli, M., (2017).

Samothrakis, S., Vodopivec, T., Fairbank, M. and Fasli, M., (2017).

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

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

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

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

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

Chrysoulas, C. and Fasli, M., (2016).

Banjo Olatunde, Stewart David and Fasli Maria, (2016). Optimising Mixed Model Assembly Lines for Mass Customisation: A Multi Agent Systems Approach

Alkhamees, N. and Fasli, M., (2016).

Samothrakis, S., Vodopivec, T., Fasli, M. and Fairbank, M., (2016).

Samothrakis, S., Perez-Liebana, D., Lucas, SM. and Fasli, M., (2015).

Hermoso, R. and Fasli, M., (2015).

Almuhaimeed, A. and Fasli, M., (2015).

Fasli, M., Hermoso, R., Sbruzzi, E. and Sena, V., (2015).

Almuhaimeed, A. and Fasli, M., (2014).

Almuhaimeed, A. and Fasli, M., (2014).

Al-Asfoor, M. and Fasli, M., (2013).

Lopes Cardoso, H., Hermoso, R. and Fasli, M., (2013).

Centeno, R., Hermoso, R. and Fasli, M., (2013).

(2012).

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

Al-Asfoor, M., Neville, B. and Fasli, M., (2012).

Adeyanju, IA., Song, D., Albakour, M-D., Kruschwitz, U., De Roeck, A. and Fasli, M., (2012).

Adeyanju, IA., Song, D., Albakour, M-D., Kruschwitz, U., De Roeck, A. and Fasli, M., (2012).

Albakour, M-D., Kruschwitz, U., Nanas, N., Adeyanju, I., Song, D., Fasli, M. and De Roeck, A., (2012).

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).

Albakour, M-D., Kruschwitz, U., Nanas, N., Kim, Y., Song, D., Fasli, M. and De Roeck, A., (2011).

Hawalah, A. and Fasli, M., (2011).

Hawalah, A. and Fasli, M., (2011).

Zeb, MA. and Fasli, M., (2011).

Albakour, M-D., Kruschwitz, U., Nanas, N., Song, D., Fasli, M. and De Roeck, A., (2011).

Albakour, M-D., Kruschwitz, U., Adeyanju, I., Song, D., Fasli, M. and De Roeck, A., (2011).

Hawalah, A. and Fasli, M., (2011).

Zeb, MA. and Fasli, M., (2011).

Hawalah, A. and Fasli, M., (2011).

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).

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).

Kovalchuk, Y. and Fasli, M., (2010).

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).

Malibary, A. and Fasli, M., (2009).

Dignum, S., Kim, Y., Kruschwitz, U., Song, D., Fasli, M. and De Roeck, A., (2009).

Kovalchuk, Y. and Fasli, M., (2008).

Kovalchuk, Y. and Fasli, M., (2008).

Kovalchuk, Y. and Fasli, M., (2008).

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).

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.,

Fasli, M.,

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, KD., (2019).

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, K., (2019).

Fasli, M., (2002).

Scott, PD. and Fasli, M., (2001).

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 ÌÇÐÄVlog 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

ÌÇÐÄVlog and Jiangsu Province Credits Re-guarantee Group Co Ltd

Scoping Exercise and feasibility study with Jiangsu Credit Re-Guarantee

ÌÇÐÄVlog 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
+44 (0) 1206 872000

Location:

5S.5.4B, Colchester Campus

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