Athanasios Vasilakos

Athanasios Vasilakos is currently a Professor at the Department of Computer and Telecommunications Engineering, University of Western Macedonia, Greece. He coauthored (with W.Pedrycz) the books Computational Intelligence in Telecommunications Networks (2001), Ambient Intelligence, Wireless Networking, and Ubiquitous Computing (2006), and Autonomic Communications (with M. Parashar, S. Karnouskos, and W. Pedrycz), and authored the book Arts and Technologies. He published more than 130 articles in top international journals and conferences. Vasilakos is the Founding Editor-in-Chief of the IJAACS and IJART international journals, and serves on the editorial boards of several international journals.

Biography Updated on 25 June 2008

Articles in Scholarly Journals [Incomplete List]

  1. Special Issue: Ambient Intelligence
    Information Sciences, vol. 178, no. 3, pp. 585–587, 2008
  2. DigitalBeing – using the environment as an expressive medium for dance
    Information Sciences, vol. 178, no. 3, pp. 663–678, 2008
  3. Interactive theatre via mixed reality and Ambient Intelligence
    Information Sciences, vol. 178, no. 3, pp. 679–693, 2008
  4. Stability analysis of the simplest Takagi–Sugeno fuzzy control system using circle criterion
    Information Sciences, vol. 177, no. 20, pp. 4387–4409, 2007
  5. Computational intelligence in photonics technology and optical networks: A survey and future perspectives
    Information Sciences, vol. 177, no. 23, pp. 5292–5315, 2007
  6. Comparison of Computational Intelligence Based Classification Techniques for Remotely Sensed Optical Image Classification
    IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 8, pp. 2305–2318, 2006
  7. Ultra-real or symbolic visualization? The case of the city through time
    Computers & Graphics, vol. 30, no. 2, pp. 299–310, 2006
  8. Power control in CDMA networks based on soft computing methods
    Soft Computing, vol. 9, no. 2, pp. 81–87, 2004
  9. A modified Elman neural network-based power controller in mobile communications systems
    Soft Computing, vol. 9, no. 2, pp. 88–93, 2004
  10. Exploring spatial data through computational intelligence: a joint perspective
    Soft Computing, vol. 9, no. 5, pp. 326–331, 2004
  11. Granular neural networks for land use classification
    Soft Computing, vol. 9, no. 5, pp. 332–340, 2004
  12. Virtual reality: The non-temporal cartographic animation and the urban (large) scale projects
    Soft Computing, vol. 9, no. 5, pp. 355–363, 2004
  13. Service Configuration and Traffic Distribution in Composite Radio Environments
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 34, no. 1, pp. 69–81, 2004
  14. Guest Editorial Special Issue on Computational Intelligence in Telecommunications Networks and Internet Services—Part III
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 34, no. 1, pp. 1–3, 2004
  15. Guest editorial special issue on computational intelligence in telecommunications networks and internet services-part I
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 33, no. 3, pp. 294–296, 2003
  16. Guest Editorial - Special issue on computational intelligence in telecommunications networks and internet services - Part II
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 33, no. 4, pp. 429–431, 2003
  17. Optimizing qos routing in hierarchical atm networks using computational intelligence techniques
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 33, no. 3, pp. 297–312, 2003
  18. Special issue on soft computing applications to CDMA power control optimization
    Soft Computing, vol. 9, no. 2, pp. 67–67, 2003
  19. Network resource brokerage by means of distributed agent-based systems encompassing reinforcement learning schemes
    Computer Communications, vol. 25, no. 16, pp. 1415–1428, 2002
  20. Aggregated bandwidth allocation: investigation of performance of classical constrained and genetic algorithm based optimisation techniques
    Computer Communications, vol. 25, no. 16, pp. 1443–1453, 2002
  21. Temporal difference method-based multi-step ahead prediction of long term deep fading in mobile networks
    Computer Communications, vol. 25, no. 16, pp. 1477–1486, 2002
  22. The use of learning algorithms in ATM networks call admission control problem: a methodology
    Computer Networks, vol. 34, no. 3, pp. 341–353, 2000
  23. A hybrid genetic approach for channel reuse in multiple access telecommunication networks
    IEEE Journal on Selected Areas in Communications, vol. 18, no. 2, pp. 234–243, 2000
  24. Linguistic models and linguistic modeling
    IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 29, no. 6, pp. 745–757, 1999
  25. On the use of a stochastic estimator learning algorithm to the ATM routing problem: a methodology
    Computer Communications, vol. 21, no. 6, pp. 538–546, 1998
  26. ANASA-a stochastic reinforcement algorithm for real-valued neural computation
    IEEE Transactions on Neural Networks, vol. 7, no. 4, pp. 830–842, 1996
  27. ASAFES2: a novel, neuro-fuzzy architecture for fuzzy computing, based on functional reasoning
    Fuzzy Sets and Systems, vol. 83, no. 1, pp. 63–84, 1996
  28. A new approach to the design of reinforcement schemes for learning automata: Stochastic estimator learning algorithm
    Neurocomputing, vol. 7, no. 3, pp. 275–297, 1995
  29. Fault-tolerant routing algorithms using estimator discretized learning automata for high-speed packet-switched networks
    IEEE Transactions on Reliability, vol. 43, no. 4, pp. 582–593, 1994
  30. Congestion avoidance scheme for ISDN frame relay networks
    Computer Communications, vol. 16, no. 11, pp. 689–694, 1993
  31. Ergodic discretized estimator learning automata with high accuracy and high adaptation rate for nonstationary environments
    Neurocomputing, vol. 4, no. 3-4, pp. 181–196, 1992
  32. Nonlinear ergodic ?-optimal discretized reward-penalty learning automata and their application to adaptive routing algorithms
    Neurocomputing, vol. 3, no. 3, pp. 111–124, 1991
  33. Variable window flow control and ergodic discretized learning algorithms for adaptive routing in data networks
    Computer Networks and ISDN Systems, vol. 22, no. 4, pp. 235–248, 1991
  34. Isarithmic flow control using learning automata
    Cybernetics and Systems Analysis, vol. 27, no. 6, pp. 802–809, 1991
  35. Flow control and discretized learning algorithms for routing in computer networks
    Computer Communications, vol. 14, no. 7, pp. 382–392, 1991
  36. On the behaviour of learning algorithms in a changing environment with application to data network routing problem: Models, convergence analysis and optimality
    Computer Standards & Interfaces, vol. 11, no. 1, pp. 29–39, 1990