PHD THESIS

My PhD Thesis, entitled "Multi-Agent System to model Consensus Processes in Large-Scale Group Decision-Making using Soft Computing Techniques" was completed and defended in the University of Jaén (Spain) in 2014, as a compendium of published journal articles, obtaining the distinction of Excellent Cum Laude by unanimity, and the special mention of "International PhD". A pdf copy of my PhD dissertation is available for download here (an English summary is available in Appendix A, along with original publications in Chapter 4).


RESEARCH INTERESTS

 Summary

  • Decision-Making and Decision Support Systems under Uncertainty
  • Recommender Systems: collaborative filtering, intelligent data fusion, security aspects
  • Autonomous Intelligent (Multi-Agent) Systems
  • Data Science with Applications to Data-Driven Decision Support and Autonomous Decision-Making

Below I list in more detail the main lines of investigation I am interested in. Whilst I have undertaken some deal of research in many of the topics enumerated, there are a few other topics in which I am highly interested and familiarised with, hence they deserve a place in the list as well. If your work covers any of these topics or other similar ones, please get in touch and drop me an e-mail: I'd be happy to hear about you and your work!

Intelligent Decision Support Systems

Decision Making under Uncertainty · Group decision making · Multi-criteria decision making · Large-group decision making · Consensus support · Consensus measurement and reaching · Preference modeling · Fuzzy and linguistic decision making · Decision Support Systems · Aggregation processes in DM · Intelligent Decision Technologies


Recommender Systems

Collaborative Filtering · Hybrid Recommender Systems · Resilience in Recommender Systems · Multi-view information aggregation · Intelligent similarity and aggregation methods · Group Recommender Systems · Uncertain data handling in Recommender Algorithms · Innovative applications (tourism and volunteering platforms, citizen wellbeing, scalable smart city services, crowdfunding and crowdsourcing systems, shared economy, global e-learning platforms)


Data Science: Uncertain Information Management, Knowledge Modelling and Data Fusion

Applications: Cyber-Security, SCADA systems, supply chain management · AI techniques in Data Science · Data-driven decision support · Theories of Uncertainty (belief theory, probabilistic/possibilistic/fuzzy) · Knowledge extraction · Knowledge Engineering · Modeling imprecision and vagueness · Situational Awareness · Sensor Data Fusion · Streaming Data Analytics · User Behavior Analytics · Unsupervised learning · Big Data tools


Autonomous Intelligent Systems and Collaborative Multi-Agent Planning

Multi-Agent Systems · Agent-based modelling · Automated Planning · Planning under Uncertainty · Team planning · Collaborative aspects of agent planning · Coordination, negotiation and argumentation · Agent reasoning/inference for decision-making · Evidential reasoning · Reinforcement learning · Approximate algorithms · Agent-based simulation · Human cognitive aspects emulation · Hybrid human-agent collaborative systems



RESEARCH PROJECTS

Recently, I have been investigator in the following UK and EU projects:

  • CSIT 2 (Centre for Secure Information Technologies):  I currently undertake research and proof-of-concept development activities on Data Analytics and Decision Support approaches for cyber-security challenges. Namely, some of my lines of work in this context include: (1) combining Big Data Analytics tools with intelligent multi-criteria decision support methods to enhance monitoring of user behavior data, with application to insider threats; (2) supporting in producing proof-of-concept demonstrator material on evidential reasoning approaches to deal with uncertainty of data in Intrusion Detection Systems (IDS); (3) agent-based modeling and reinforcement learning approaches to simulate and generate meaningful user activity data for its use in User Behavior Analytics (UBA) testbeds via Big Data tools.
  • PACES (Providing Autonomous Capabilities for Evolving SCADA): This project funded by EPSRC focused on developing next generation SCADA systems based on autonomous and intelligent capabilities. My role focused on defining and developing multi-agent systems architectures. In particular, I collaborated in defining extended BDI agent frameworks to incorporate reasoning under uncertainty, and studied collaboration aspects of multi-agent planning approaches under uncertainty. As a result, we defined two novel multi-agent planning approaches in environments pervaded by uncertainty/risk, incorporating (i) a two-stage method based on subgoal delegation in agent teams as a means of coordination, and (ii) a risk-aware multi-agent planner that combines planning at team level with multi-criteria and consensus decision-making methodologies to collectively select the "best" actions, predicated on the distinct agents' attitudes towards risk. In addition, I developed a visual demonstrator (envisaged as a videogame-like interface) to showcase autonomous agents with risk-aware planning, reasoning and decision making capabilities.
  • COBACORE (Community-based Comprehensive Recovery)In this FP7 EU Project focused on comprehensive disaster management and recovery, I applied semantic inference and multi-criteria decision making approaches to construct a need-capacity matching algorithm to assist affected and responding communities after a disaster with filtering of relevant resources for time-sensitive decision-making.
  • BESECURE (Best Practice Enhancers for Security in Urban Regions)In this FP7 EU Project, I worked on a GIS-based Web platform to provide a variety of descriptors based on disparate urban data across multiple dimensions, including crime, economic, societal and educational data.
NOTE: All of the three EU FP7 Projects above were scoped under the "Secure Societies" H2020 programme.


This is my "virtual bookshelf", containing both recent and (in my opinion) state-of-the-art handbooks, related to my research interests, in alphabetical author order:
  • C.C. Aggarwal. Recommender Systems: the Textbook. 1st Ed. Springer, 2016.
  • I. Alsmadi, F. Karabatis, A. Al-Eroud (Eds.). Information Fusion for Cyber-Security Analytics. Studies in Computational Intelligence, vol. 691. Springer, 2016.
  • Rajendra Akerkar, Priti Srinivas Sajja. Intelligent Techniques for Data Science. 1st Ed. Springer, 2016.
  • A. Appriou. Uncertainty Theories and Multisensor Data Fusion. Wiley, 2014.
  • Gleb Beliakov, Ana Pradera, Tomasa Calvo. Aggregation Functions - A Guide for Practitioners. 1st Ed. reprint. Springer, 2010.
  • Tomasa Calvo, Joans Torrens (Eds.). Fuzzy Logic and Information Fusion: to Conmemorate the 70th birthday of Professor Gaspar Mayor. Studies in Fuzziness and Soft Computing, vol. 339. Springer, 2016.
  • Vladimir Cherkassky. Learning from Data: Concepts, Theory and Methods. 2nd Ed. Wiley-blackwell, 2007.
  • Y. Dong, J. Xu (Eds.). Consensus Building in Group Decision Making: searching the consensus path with minimum adjustments. Springer, 2016.
  • Michael Doumpos, Evangelos Grigoroudis. Multicriteria Decision Aid and Artificial Intelligence. Wiley, 2013.
  • A. Felferning, L. Boratto, M. Stettinger, M. Tkalcic. Group Recommender Systems: An Introduction. Springer, 2018.
  • János Fodor, Marc Roubens. Fuzzy Preference Modelling and Multicriteria Decision Support. Theory and Decision Library, vol. 14. Springer, 1994.
  • Malik Ghallab, Dana Nau, Paolo Traverso. Automated Planning and Acting. Cambridge University Press, 2016.
  • Mohammed Guller. Big Data Analytics with Spark. A practitioners guide to using Spark for Large Scale Data Analytics. Apress, 2015.
  • M.J. Kochenderfer. Decision Making under Uncertainty: Theory and Application. MIT Lincoln Laboratory Series, The MIT Press, 2015.
  • Weiru Liu. Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches. Studies in Fuzziness and Soft Computing, vol. 77. Springer-Verlag, 2011.
  • Jie Lu et al. Multi Objective Group Decision Making: Methods, Software and Applications with Fuzzy Set Techniques. Imperial College Press, 2006.  
  • Stuart Russell. Artificial Intelligence: A Modern Approach., 3rd Ed. Pearson, 2016.
  • Richard Sutton. Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning Series). The MIT Press, 1998.
  • Gerhard Weiss. MultiAgent Systems (Intelligent Robotics and Autonomous Systems Series), 2nd Ed. The MIT Press, 2013. 
  • K. Wirth, K. Sweet. One-to-One Personalization in The Age of Machine Learning. Bookbaby, 2017.
  • Michael Wooldridge. An Introduction to Multi-Agent Systems, 2nd Ed. Wiley, 2009.
  • Constantin Zopounidies, Michael Doumpos (Eds.). Multiple Criteria Decision Making: Applications in Management and Engineering. 1st Ed. Springer, 2017.
For sure I may miss some interesting books in this list. If you would like to suggest any, I will appreciate if you contact me, as I am always keen on getting to know new, or yet unknown books.
Images source: pixabay.com