1. P. Sadeghi-Tehran, P. Angelov, ARTOD: Autonomous Real Time Objects Detection by a Moving Camera using Recursive Density Estimation, In: Novel Applications of Intelligent Systems, M. Hadjiski, N. Kasabov, D. Filev, V. Jotsov (Eds.), Springer Verlag, 2014, to appear
2. P. Angelov, J. Iglesias, Design and Tuning of Fuzzy Systems, In Encyclopaedia of Life Support Systems, Book on Computational Intelligence, (H. Ishibuchi Ed.), commissioned by UNESCO, 2014, to appear
3. P. Angelov, I Skrjanc, S. Blazic, Self-learning Controllers, In Springer Handbook on Computational Intelligence, (O. Castillo and P. Melin Ed.), 2014, to appear
4. P. Angelov, Evolving Takagi-Sugeno Fuzzy Systems from Data Streams (eTS+), In Evolving Intelligent Systems: Methodology and Applications (Angelov P., D. Filev, N. Kasabov Eds.), John Willey and Sons, IEEE Press Series on Computational Intelligence, pp. 21-50, ISBN: 978-0-470-28719-4, April 2010.
5. P. Angelov, A. Kordon, Evolving Intelligent Sensors in Chemical Industry, In Evolving Intelligent Systems: Methodology and Applications (Angelov P., D. Filev, N. Kasabov Eds.), John Willey and Sons, IEEE Press Series on Computational Intelligence, pp.313-336, ISBN: 978-0-470-28719-4, April 2010.
6. P. Angelov, Evolving Fuzzy Systems, In Encyclopaedia on Complexity and System Science (Bob Meyers Editor-in-Chief), 10370 pp., ISBN: 978-0-387-75888-6, article 194, Springer, June 2009 , Part 5, 3242-3255, DOI: 10.1007/978-0-387-30440-3_192.
7. J. M. Hernandez, P. Angelov, Applications of Evolving Intelligent Systems to Oil and Gas Industry, In Evolving Intelligent Systems: Methodology and Applications (Angelov P., D. Filev, N. Kasabov Eds.), John Willey and Sons, IEEE Press Series on Computational Intelligence, pp.399-420, ISBN: 978-0-470-28719-4, April 2010.
8. P. Angelov, X.-W. Zhou, Evolving Fuzzy Classifier for Real-time Novelty Detection and Landmark Recognition by a Mobile Robot , In Mobile Robots: The Evolutionary Approach (N. Nedja, L. Coelho , L. Mourelle Eds.), Studies in Computational Intelligence Series, Springer, pp.95-124, ISBN 978-3-540-49719-6, March 2007
9. D. Filev, P. Angelov, Algortihms for Real-Time Clustering and Generation of Rules from Data, In: J. V. de Oliveira and W. Pedrycz (Eds.) Advances in Fuzzy Clustering and Its Applications, ISBN 978-0-470-02760-8, John Wiley and Sons, New York, USA, pp.353-370, 2007
10. P. Angelov, Y. Zhang, and J. A. Wright. Optimal Design Synthesis of Component-based Systems using Intelligent Techniques, pp. 267-284. In Do Smart Adaptive Systems Exist? B. Gabrys, K. Leiviskä, and J. Strackeljan (editors). Studies in Fuzziness and Soft Computing, vol.173, Springer. ISBN 3-540-24077-2. 2004
11. P. Angelov, An Approach to On-line Design of Fuzzy Controllers with Evolving Structure, In: (L. Ahmad, J. M. Garibaldi, Eds.) Applications and Science in Soft Computing Series: Advances in Soft Computing, X, pp.63-68, ISBN: 3-540-40856-8, 2004
12. P. Angelov, Y. Zhang, J. Wright, R. Buswell, V. Hanby, Automatic Design Synthesis and Optimization of Component-based Systems by Evolutionary Algorithms , In: Lecture Notes in Computer Science 2724 Genetic and Evolutionary Computation (E. Cantu-Paz et. al Eds.): Springer-Verlag, pp.1938-1950, 978-3-540-40603-7, 2003
13. P. Angelov , D. Filev, On-line Design of Takagi-Sugeno Models, In: Lecture Notes in Computer Science 2715 Fuzzy Sets and Systems IFSA2003 (T. Bilgiç, B. De Baets, O. Kaynak Eds.), pp. 576-584, ISBN 3-540-40383-3, 2003
14. P.P.Angelov, V.I. Hanby, R.A. Buswell and J.A. Wright, Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms, In: Developments in Soft Computing (R. John and R. Birkenhead Eds.) Developments in Soft Computing (R. John and R. Birkenhead Eds.), Springer Verlag, pp.31-40, 2001

1. R. D. Baruah, P. Angelov, D. Baruah, Dynamically Evolving Fuzzy Classifier for Real-time Classification of Data Streams, 2014 World Congress on Computational Intelligence, WCCI-2014, 6-11 July 2014, Beijing, China, to appear.
2. B. S. J. Costa, P. Angelov, L. A. Guedes, A new Unsupervised Approach to Fault Detection and Identification, 2014 World Congress on Computational Intelligence, WCCI-2014, 6-11 July 2014, Beijing, China, to appear.
3. R. D. Baruah, P. Angelov, D. Baruah, Dynamically Evolving Clustering for Data Streams, In Proc. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2014, 2-4 June, 2014, Linz, Austria, to appear.
4. P. Angelov, D. Kangin, X. Zhou, D. Kolev, Symbol Recognition with a new Autonomously Evolving Classifier AutoClass, In Proc. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2014, 2-4 June, 2014, Linz, Austria, to appear.
5. P. Sadeghi-Tehran, P. Angelov, ATDT: Autonomous Template-based Detection and Tracking of Objects from Airborne Camera, In Proc. 2014 IEEE Conference on Intelligent Systems, IS-14, 24-26 September, Warsaw, Poland, to appear.
6. R. D. Baruah, P. Angelov, Online Learning and Prediction of Data streams using Dynamically Evolving Fuzzy Approach, In Proc., 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), 7-10 July, 2013, Heiderabad, India, IEEE Press, ISBN 978-1-4799-0020-6, pp.1-8, DOI: 10.1109/FUZZ-IEEE.2013.6622517.
7. M. Suvorov, S. Ivliev, G. Markarian, D. Kolev, D. Zvikhachevskiy, P. Angelov, Incremental Anomaly Identification by Adapted SVM Method, International Joint Conference on Neural Networks, IJCNN-2013, Dallas, TX, USA, 3-9 August, 2013, IEEE Press, August, 2013, ISBN: 978-1-4673-6129-3.
8. B Costa, I Skrjanc, S Blazic, P. Angelov, A practical implementation of self-evolving cloud-based control of a pilot plant, 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland, pp.7-12, IEEE Press, 13-15 June, 2013, ISBN: 978-1-4673-6469-0/13, best student paper award!
9. P. Angelov, I. Skrjanc and S. Blazic, Robust Evolving Cloud-based Controller for a Hydraulic Plant, Proc. IEEE Symposium Series on Computational Intelligence SSCI-2013,16-19 April 2013, Singapore, IEEE Press, ISBN 978-1-4673-5855-2/13, pp.1-8.
10. D. Kangin, G. Kolev, P. Angelov, Vehicle Plate Recognition using Improved Neocognitron Neural Network, In: Lecture Notes in Computer Sciences LNCS (V. Mladenov et al. Eds.), vol. 8131, pp.628-640, Springer, Heidelberg, 2013.
11. M. Suvorov, S. Ivliev, G. Markarian, D. Kolev, D. Zvikhachevskiy, P. Angelov, OSA: One-class Recursive SVM Algorithm with Negative Samples for Fault Detection , In: Lecture Notes in Computer Sciences LNCS (V. Mladenov et al. Eds.), vol. 8131, pp.194-207, Springer, Heidelberg, 2013.
12. D. Kolev, P. Angelov, G. Markarian, M. Suvorov and S. Lysanov, ARFA: Automated Real-time Flight Data Analysis using Evolving Clustering, Classifiers and Recursive Density Estimation , Proc. IEEE Symposium Series on Computational Intelligence SSCI-2013,16-19 April 2013, Singapore, ISBN 978-1-4673-5855-2/13, pp. 91-97.
13. A Ali, D Hutchison, P Angelov, P Smith, Towards an autonomous resilience strategy the implementation of a self evolving rate limiter, Proc. 13th UK Workshop on Computational Intelligence, UKCI, 2013, pp. 299-304.
14. R. D. Baruah, P. Angelov, Evolving Local Means Method for Clustering of Streaming Data, In Proc. 2012 World Congress on Computational Intelligence, WCCI-2012, 10-15 June 2012, Brisbane, Australia, pp.2161-2168 (IEEE Press ISBN 978-1-4673-1489-3).
15. P. Sadeghi-Tehran, A. B. Cara, P. Angelov, H. Pomares, I. Rojas, A. Prieto, Self-Evolving Parameter-free Rule-based Controller, In Proc. 2012 World Congress on Computational Intelligence, WCCI-2012, 10-15 June 2012, Brisbane, Australia, pp.754-761 (IEEE Press, ISBN 978-1-4673-1489-3).
16. P. Angelov, J. Andreu, Tu Vong, Automatic Mobile Photographer and Assisted Picture Diary for Memory Aid, In Proc. 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2012, 17-18 May 2012, Madrid, Spain, pp. 102-107 (IEEE Press, ISBN 978-1-4673-1727-6).
17. P. Sadeghi-Tehran, S. Behera, P. Angelov, J. Andreu, Autonomous Visual Self-Localization in Completely Unknown Environment, In Proc. 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2012, 17-18 May 2012, Madrid, Spain, pp. 90-95 (IEEE Press, ISBN 978-1-4673-1727-6)
18. R. D. Baruah, P. Angelov, Evolving Social Network Analysis: A Case Study on Mobile Phone Data, In Proc. 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2012, 17-18 May 2012, Madrid, Spain, pp. 114-120 (IEEE Press, ISBN 978-1-4673-1727-6).
19. P. Sadeghi-Tehran, P. Angelov, A Real-time Approach for Novelty Detection and Trajectories Analysis for Anomaly Recognition in Video Surveillance Systems , In Proc. 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS-2012, 17-18 May 2012, Madrid, Spain, pp. 108-113 (IEEE Press, ISBN 978-1-4673-1727-6).
20. P. Angelov, C. Gude, P. Sadeghi-Tehran, T. Ivanov, ARTOT: Autonomous Real-Time Object Detection and Tracking by a Moving Camera , In Proc. 2012 IEEE Conference on Intelligent Systems, IS-12, 6-8 September, Sofia, Bulgaria, pp. 446-452, best paper award.
21. P. P. Angelov, Autonomous Machine Learning (ALMA): Generating Rules from Data Streams, In Proc. Special International Conference on Complex Systems, COSY-2011, 16-19 September 2011, Ohrid, FYROM (FYR of Macedonia), pp.249-256.
22. J. Andreu, P. Angelov, R. Dutta Baruah, Real-time Recognition of Human Activities from Wearable Sensors by Evolving Classifiers, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011, 27-30 June, 2011, Taipei, Taiwan, pp. 2786-2793, ISSN 978-1-4244-7317-5/11, IEEE Press
23. J. Andreu, R. Dutta Baruah, P. P. Angelov, Automatic scene recognition for low-resource devices using evolving classifiers, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011, 27-30 June, 2011, Taipei, Taiwan, pp. 2779-2785, ISSN 978-1-4244-7317-5/11, IEEE Press
24. R. Dutta-Baruah,P. Angelov, J. Andreu, Simpl_eClass: Simple Potential-free Evolving Fuzzy Rule-Based On-line Classifiers, 2011 IEEE International Conference on Systems, Man and Cybernetics, SMC 2011, Anchorage, Alaska, USA, 7-9 Oct, 2011, pp.2249-2254.
25. P. Angelov, R. Yager, Simplified Fuzzy Rule-based Systems using Non-parametric Antecedents and relative Data Density, IEEE Symposium Series on Computational Intelligence SSCI-2011,11-15 April 2011, Paris, France, pp.62-69, ISBN 978-1-4244-9977-9
26. J. A. Iglesias, P. Angelov, A. Ledezma, A. Sanchis, Evolving Human Activity Classifier from Sensor Streams, IEEE Symposium Series on Computational Intelligence SSCI-2011,11-15 April 2011, Paris, France, pp.139-146, ISBN 978-1-4244-9977-9
27. P. Sadeghi-Tehran, P. Angelov, Online Self-Evolving Fuzzy Controller for Autonomous Mobile Robots, IEEE Symposium Series on Computational Intelligence SSCI-2011,11-15 April 2011, Paris, France, pp.100-107, ISBN 978-1-4244-9977-9
28. A. Azman, P. Angelov, D. Hutchison, Towards an Adaptive Resilience Strategy for Future Computer Networks, Proceedings of the UKCI 2011, 7-9 September, 2011, Manchester, UK, pp.201-206.
29. P. Angelov, R. Yager, A Simple Rule-based System through Vector Membership and Kernel-based Granulation, In: Proc. 5th International Conference on Intelligent Systems, IS-2010,7-9 July 2010, London, England, UK, IEEE Press, pp.349-354.
30. J Andreu, P. Angelov, Real-Time Activity Recognition from Wireless Sensors Using Evolving Fuzzy Systems, 2010 IEEE World Congress on Computational Intelligence,18-23 July 2010, Barcelona, Catalunya, Spain, pp.2652-2659, ISBN 978-1-4244-6920-8.
31. J. A. Iglesias, P. Angelov, A. Ledezema, A. Sanchis, Human Activity Recognition in Intelligent Home Environments: An Evolving Approach, 19th European Conference on AI, ECAI, Lisbon, Portugal, 16-20 August 2010, ECAI 2010 Proceedings (H. Coelho, R. Studer and M. Wooldridge Eds.), IOS Press, ISSN: 0922-6389, pp. 1047-1048.
32. P Sadeghi-Tehran, P. Angelov, R. Ramezani, A Fast Approach to Autonomous Detection, Identification, and Tracking of Multiple Objects in Video Streams under Uncertainties, In: E. Hullermeier, R. Kruse, and F. Hoffmann (Eds.): IPMU 2010, Part II, CCIS 81, pp. 30–43, 2010, ISBN 3-642-14057-2 Springer Berlin Heidelberg New York, ISSN 1865-0929.
33. R Dutta-Baruah, P. Angelov, Clustering as a Tool for Self-generation of Intelligent Systems: A Survey, Evolving Intelligent Systems, EIS'10, 29 March - 1 April 2010, Leicester, UK, pp.34-41, ISBN 978-1902956947.
34. J. A. Iglesias, P. Angelov, A. Ledezema, A. Sanchis, User Modeling: Through Statistical Analysis and an Evolving Classifier, 2010 IEEE World Congress on Computational Intelligence,18-23 July 2010, Barcelona, Catalunya, Spain, pp. 3226-3233, ISBN 978-1-4244-6920-8.
35. J Andreu, P. Angelov, Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with On-line Inputs Selection, 2010 IEEE World Congress on Computational Intelligence,18-23 July 2010, Barcelona, Catalunya, Spain, pp.1479-1483, ISBN 978-1-4244-6920-8.
36. J. A. Iglesias, P. Angelov, A. Ledezema, A. Sanchis, Modelling Evolving User Behaviours, 2009 IEEE Symposium Series on Computational Intelligence, 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, 29 March-2 April, 2009, Nashville, TN, USA, Proceedings, IEEE Press, ISBN: 978-1-4244-2754-3, pp.16-23*
37. E. Lughofer, P. Angelov, Detecting and Responding to Drift and Shift in On-line Data Streams with Evolving Fuzzy Systems, 2009 IFSA World Congress and 2009 EUSFLAT Conference, 19-23 July 2009, Lisbon, Portugal, pp.931-937, ISBN 978-95079-6-8
38. P. Angelov, X. Zhou, On Line Learning Fuzzy Rule-based System Structure from Data Streams, 2008 IEEE International Conference on Fuzzy Systems within the IEEE World Congress on Computational Intelligence, Hong Kong, June 1-6, 2008, pp.915-922, ISBN 978-1-4244-1821-3/08
39. P. Angelov, R. Ramezani, X. Zhou, Autonomous Novelty Detection and Object Tracking in Video Streams using Evolving Clustering and Takagi-Sugeno type Neuro-Fuzzy System, 2008 IEEE International Joint Conference on Neural Networks within the IEEE World Congress on Computational Intelligence, Hong Kong, June 1-6, 2008, pp.1457-1464, ISBN 978-1-4244-1821-3/08
40. R. Ramezani, P. Angelov, X. Zhou, A Fast Approach to Novelty Detection in Video Streams using Recursive Density Estimation, 4th International IEEE Symposium on Intelligent Systems, 6-8 September, 2008, Varna, Bulgaria, v.II, pp.14-2 -- 14-7, ISBN 978-1-4244-1739-1/08
41. S. McDonald, C. Xydeas, P. Angelov, Decision Support Systems - Improving levels of Care and Lowering the Costs in Anticoagulation Therapy, First International Conference on Electronic Healthcare for the 21st Century, eHelath 2008 , London, UK, 8-9 Sept. 2008, pp.175-178
42. S. McDonald, C. Xydeas, P. Angelov, A Retrospective Comparative Study of three Data Modelling Techniques in Anticoagulation Therapy 2008 International Conference on BioMedical Engineering and Informatics BMEI2008, 28-30 May 2008, Sanya, Hainan, China, pp. 219-225, ISBN 978-0-7695-3118-2/08
43. X. Zhou, P. Angelov, C. Wang, A Predictive Controller for Object Tracking of a Mobile Robot, The Second International Workshop on Intelligent Vehicle Control Systems, IVCS 2008 in the framework of the 5th International Conference on Informatics in Control, Automation, and Modelling, ICINCO 2008, Funchal, Madeira, Portugal, 11-15 May 2008, pp.73-82, ISBN 978-989-8111-34-0
44. P. Angelov, A. Kordon, X. Zhou, Evolving Fuzzy Inferential Sensors for Process Industry, 3rd International Workshop on Genetic and Evolving Fuzzy Systems, 4-7 March, 2008, Witten-Bomerholz, Germany, pp. 41-46, ISBN 978-1-4244-1613-4
45. P. Angelov, C. D. Bocaniala, C. Xydeas, C. Pattchet, D. Ansell, M. Everett, G. Leng, A Passive Approach to Autonomous Collision Detection and Avoidance in Uninhabited Aerial Systems, 2008 UKSIM: 10th International Conference on Computer Modelling and Simulation, 1-3 April 2008, Emanuel College, Cambridge, UK, pp.64-69
46. P. Angelov, X. Zhou, E. Lughofer, D. Filev, Architectures of Evolving Fuzzy Rule-based Classifiers, Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics, 7-10 October, 2007, Montreal, Canada, ISBN 1-4244-0991-8/07, pp.2050-2055
47. J.J. Macias-Hernandez, P. Angelov, X. Zhou, Soft Sensor for Predicting Crude Oil Distillation Side Streams using Takagi Sugeno Evolving Fuzzy Models, Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics, 7-10 October, 2007, Montreal, Canada, ISBN 1-4244-0991-8/07, pp.3305-3310.
48. E. Lughofer, P. Angelov, X. Zhou, Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class, In Proc. of the 2007 IEEE International Conference on Fuzzy Systems, 23-26 July, 2007, London, UK, pp.363-368, ISBN 1-4244-1210-2/07
49. P. Angelov, X. Zhou, F. Klawonn, Evolving Fuzzy Rule-based Classifiers, First 2007 IEEE International Conference on Computational Intelligence Applications for Signal and Image Processing, April 1-5, 2007, Honolulu, Hawaii, USA, pp.220-225
50. X. Zhou, P. Angelov, An Approach to Autonomous Self-localization of a Mobile Robot in Completely Unknown Environment using Evolving Fuzzy Rule-based Classifier, First 2007 IEEE International Conference on Computational Intelligence Applications for Defense and Security, April 1-5, 2007, Honolulu, Hawaii, USA, pp.131-138.
51. F. Klawonn, P. Angelov, Evolving Extended Naive Bayes Classifier, In: S. Tsumoto, C.W. Clifton, N. Zhong, X. Wu, J. Liu, B.W. Wah, Y.-M. Cheung: Proc. Sixth IEEE International Conference on Data Mining. IEEE, Los Alamitos (2006), pp. 643-647 (ISBN 0769527027)
52. J.J. M. Hernandez, P. Angelov, X. Zhou, Soft Sensor for Predicting Crude Oil Distillation Side Streams using Takagi Sugeno Evolving Fuzzy Models, 2nd Annual Symposium on Nature Inspired Smart Adaptive Systems, 29, Nov-1, Dec, 2006, Tenerife, Spain, pp.313-322
53. A. Evans, P. Angelov and X. Zhou, On-line Evolving Clustering of Web Documents, 2nd Annual Symposium on Nature Inspired Smart Adaptive Systems, 29, Nov-1, Dec, 2006, Tenerife, Spain, pp.225-230, ISBN 3-86130-926-2
54. P. Angelov, Evolving Fuzzy Rule-based Systems for Modelling of Non-linear Non-stationary Processes, IFAC Workshop Energy Efficient Control, October, 2-5, 2006, Bansko, Bulgaria, pp.43-50**
55. P. Angelov, X. Zhou, Evolving Fuzzy Systems from Data Streams in Real-Time, 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, Lake District, UK, IEEE Press, pp.29-35, ISBN 0-7803-9719-3*
56. E. Jones, P. Angelov, C. Xydeas, Recovery of LSP Coefficients in VoIP Systems using Evolving Takagi-Sugeno Fuzzy MIMO Models, 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, Lake District, UK, IEEE Press, pp. 208-214, ISBN 0-7803-9719-3***
57. J. Macias, P. Angelov and X.-W. Zhou, A Method for Predicting Quality of the Crude Oil Distillation using Evolving Takagi-Sugeno Fuzzy Models, In Proc. 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, Lake District, UK, IEEE Press, pp. 214-220, ISBN 0-7803-9719-3
58. Memon, M. A., P. Angelov, H. Ahmed, An Approach to Real-Time Color-based Object Tracking, In Proc. 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, Lake District, UK, IEEE Press, pp.81-87, ISBN 0-7803-9719-3
59. X.-W. Zhou, P. Angelov, Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System, 2006 IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, July 16-21, 2006, pp.6314-6321, ISBN 0-7803-9489-5
60. X.-W. Zhou, P. Angelov, G. Morris, Novelty Detection and Landmark Recognition by Real-time Evolving Clustering, UK Workshop on Computational Intelligence, London, 5-7 Sept., 2005, pp. 155-161
61. P. Angelov, E. Lughofer. P. E. Klement, Two Approaches for Data-Driven Design of Evolving Fuzzy Systems: eTS and FLEXFIS, The 2005 North American Fuzzy Information Processing Society Annual Conference, June 21-25 2005, Ann Arbor, Michigan, USA, pp.31-35
62. P. Angelov, D. Filev, Simpl_eTS: A Simplified Method for Learning Evolving Takagi-Sugeno Fuzzy Models,The 2005 IEEE International Conference on Fuzzy Systems FUZZ-IEEE, Reno, Las Vegas, USA, 22-25 May 2005, pp.1068-1073, ISSN 0-7803-9158-6/05
63. J. Victor, A. Dourado, P. Angelov, On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant,16th IFAC World Congress, Prague, Czech Republic, July-2005
64. D. Carline, P. P. Angelov, R. Clifford, Agile Collaborative Autonomous Agents for Robust Underwater Classification Scenarios, Underwater Defense Technology, Amsterdam, June 2005
65. P.P. Angelov, N. Kasabov. Evolving Computational Intelligence Systems. In Proceedings of the 1st International Workshop on Genetic Fuzzy Systems. Granada, Spain. 2005, pp. 76-82
66. P. Angelov, Y. Zhang, and J. Wright. Automatic Design Generation of Component-based Systems using GA and Fuzzy Optimisation. In Proc. of the 1st International Workshop on Genetic Fuzzy Systems. Granada, Spain, 2005. pp. 95-100
67. P. Angelov, T. Evans, Semantic Categorization of Web-based Documents, 5th International Conference Recent Advances in Soft Computing, RASC 2004, 16-18 December, Nottingham, UK, pp.500-505
68. P. Angelov, C. Xydeas, D. Filev, On-line Identification of MIMO Evolving Takagi-Sugeno Fuzzy Models, International Joint Conference on Neural Networks and International Conference on Fuzzy Systems, IJCNN-FUZZ-IEEE, Budapest, Hungary, 25-29 July, 2004, 55-60, ISBN 0-7803-8354-0
69. P. Angelov, J. Victor, A. Dourado, D. Filev, On-line evolution of Takagi-Sugeno Fuzzy Models, Proc. Of the 2nd IFAC Workshop on Advanced Fuzzy/Neural Control, 16-17 September 2004, Oulu, Finland, pp.67-72
70. P. Angelov, An Approach to On-line Design of Fuzzy Controllers with Evolving Structure, 4th International Conference RASC-2002, Nottingham, 12-13 December 2002, 55-56.
71. P. Angelov, An Approach for Rule-base Adaptation using On-line Clustering, 2nd EUNITE Conference, 19-22 September 2002, Albufeira, Portugal, pp. 47-52
72. P. Angelov, D. Filev, Flexible Models with Evolving Structure, IEEE Symposium on Intelligent Systems, Varna, Bulgaria, 10-12 September 2002, v.2, pp.28-3
73. P. Angelov, R. Buswell, J. Wright, D. Loveday, Evolving Rule-based Control, EUNITE Symposium, 13-15 December 2001, Tenerife, Spain, pp.36-41
74. P. Angelov, R. Buswell, Evolving Rule-based Models: A Tool for Intelligent Adaptation, 9th IFSA World Congress, Vancouver, BC, Canada, 25-28 July 2001, pp.1062-1067
75. P. Angelov, R. Buswell, J.A. Wright, Transparency and Simplification of Rule-Based Models for On-line Adaptation, 2nd EUSFLAT Conference, Leicester, 5-7 September 2001, pp. 234-237
76. P.P. Angelov, V.I. Hanby, R. A. Buswell and J.A. Wright, A Methodology for Modelling HVAC Components using Evolving Fuzzy Rules, IEEE International conference on Industrial Engineering, Control and Instrumentation IECON-2000, 22-28 October 2000, Nagoya, Japan, pp. 247-252
77. P.P. Angelov, J.A. Wright, A Centre-of-Gravity-based Recombination Operator for Genetic Algorithms, IEEE International conference on Industrial Engineering, Control and Instrumentation IECON-2000, 22-28 October 2000, Nagoya, Japan, pp. 259-264
78. P. Angelov, Evolving Fuzzy Rule-Based Models, Proc. 8th IFSA World Congress, Taipei, Taiwan, August 17-20, 1999, vol.1, pp.19-23
79. P. Angelov, A Fuzzy Approach to Building Thermal Systems Optimization, Proc. 8th IFSA World Congress, Taipei, Taiwan, August 17-20, 1999, vol.2, pp.423-426
80. O. Bernard, G. Bastin and P. Angelov, Hybrid Modelling of Biotechnological Processes using Neural Networks, Proc. 14th World IFAC Congress, Beijing, July 1999, vol.L, pp. 145-150
81. P. Angelov, Self-Learning of Fuzzy-Rule-based Models by GA, Proc. Conference on Intelligent Control'98, Sofia, Bulgaria, 14-16 Oct. 1998, pp. 46-49, ISBN 954-9641-05-8 (T2)
82. P. Angelov, D. Lakov, Fuzzy Rule-based System for Risk Assessment, Proc. Conference on Intelligent Control'98, Sofia, Bulgaria, 14-16 Oct. 1998, pp. 42-45, ISBN 954-9641-05-8 (T2)
83. P. Angelov, R. Guthke, R. Berkholz, Optimal Control of a Fermentation Process using Neural Networks and Genetic Algorithms, Proc. 6th European Congress on Soft Computing and Intelligent Technologies EUFIT'98, Aachen, Germany, Sept. 7-10, 1998, vol.3, pp.1591-1595
84. K.-H. Bellgardt, S. Tzonkov, R. Nenov and P. Angelov, Future Prospects and Trends in Modeling, Control and Measurements in Biotechnology, Proc. 10th Intern. Workshop Bioprocess Systems'97, Sofia, Bulgaria, October 14-16, 1997, pp. I.1-I.11
85. P. Angelov, Intelligent Optimal Control of Biotechnological Processes, Proc. 4th European Congress on Intelligent Techniques and Soft Computing, EUFIT'96, Aachen, Germany, 2-5 Sept. 1996, vol.2, pp.1033-1037
86. P. Angelov, R. Guthke, An Approach to Fuzzy Optimal Control supported by Genetic Algorithms, Proc. International Panel Conference on Soft Computing, Budapest, Hungary, Oct. 7-10, 1996, pp. 11-17
87. P. Angelov, Fuzzy Optimal Control based on Genetic Algorithms, Proc. 2nd International Conference FUBEST'96, Sofia, Bulgaria, Oct. 9-11, 1996, pp.57-60
88. P. Angelov, Intelligent Optimal Control of Biotechnological Processes, Proc 16th International Conference "Information Technology Interfaces " ITI '96, Pula, Croatia June 18-21 1996, pp. 353-358
89. A. Gegov, P. Koprinkova and P. Angelov, Hierarchical Fuzzy Control of Traffic Networks, Proc. International Panel Conference on Soft Computing, Budapest, Hungary, Oct. 7-10, 1996, pp. 107-112
90. P. Angelov, M. Petrov and S. Tzonkov, An Approach to Optimal Control of Biotechnological Processes Based on Soft Computing, Intern. Conf. on Automatics and Informatics, Sofia, Bulgaria, Oct. 9-11, 1996, pp.252-255
91. P. Angelov, An Method for Fuzzy Linear Dynamic Programing, Proc. 3rd European Congress on Intelligent Technologies and Soft Computing, EUFIT'95, Aachen, Germany, August 28-31 1995, vol.2, pp. 1294-1298
92. P. Angelov, Application of Intuitionistic Fuzzy Sets to Optimization Problems, 13th Symposium on Mathematical Methods in Economics, Sept. 18-20 1995, Ostrava, Czech Republic, pp. 1-8
93. P. Angelov, An Approach to Optimisation of Biotechnological Processes based on Neural Networks, Proc 17th International Conference "Information technology Interfaces " ITI '95, Pula, Croatia June 13-16 1995, pp. 401-406
94. P. Angelov, S. Tzonkov, Application of Soft Computing in Bioprocess Engineering, International Workshop Bioprocess Engineering'95, Sofia, Bulgaria, Oct. 2-5, 1995, pp. iv-ix **
95. P. Angelov, Neural-Network based Modeling and Optimization of Whey Fermentation, International Conference on Automatics and Informatics, Sofia, Bulgaria, Nov. 7-10, 1995, pp. 414-417
96. P. Angelov, A new Method for Solving Linear Programming Problems with Fuzzy Parameters, Proc 2nd European Congress on Intelligent Techniques and Soft Computing EUFIT'94, Aachen, Germany, Sept. 20-23, 1994, vol.2, pp.962-966
97. P. Angelov, M. Petrov and S. Tzonkov, An Approach for Training a type of Fuzzy Neural Networks as Fuzzy Optimization, 10th International Conference on Systems Engineering, Coventry, UK, 6-8 Sept., 1994, pp. 47-51
98. P. Angelov, Analytical Approach for Solving a Type of Fuzzy Optimization Problems, International Workshop on Fuzzy Based Expert Systems FUBEST'94, Sept. 28-30, 1994, Sofia, Bulgaria, pp.11-14
99. P. Angelov, A Parameterized Generalization of Fuzzy Mathematical Programming Problem, 5th IFSA World Congress, Seoul, Korea, July 4-9, 1993, vol.1, pp.612-615
100. P. Angelov, An Analytical Approach for FMP Problem Solving and its Application to Neural Networks Learning, Proc. 1st European Congress on Fuzzy and Intelligent Technologies, EUFIT'93, Aachen, Germany, Sept. 7-10, 1993, vol.3, pp.1255-1266
101. P. Angelov, L. Kuncheva, About Analytical Solving Fuzzy Mathematical Programming Problem, Proc. Intern. Conf. on Math. Modelling and Comp.'93 (S. Markov Ed.), Sozopol, Bulgaria, 14-17 Sept. 1993, pp.109-112
102. P. Angelov, An Analytical Solution of Fuzzy Mathematical Programming Problem, 2nd Balkan Conference on Operations Research, Thessaloniki, Greece, Oct. 18-21, 1993, pp. 605-610
103. L. Kuncheva, P. Angelov, A Combined Iterative-Analytical Training of a Counter-propagation Fuzzy Neural Network, 2nd Balkan Conf. on Operations Research, Thessaloniki, Greece, 18-21 Oct. 1993, pp. 780-783
104. P. Angelov, M. Petrova and S. Tzonkov, A Fuzzy Approach to Optimization of Biotechnological Process Condition, 2nd Balkan Conference on Operations Research, Thessaloniki, Greece, 18-21 Oct., 1993, pp.896-903
105. P. Angelov, Fuzzy Optimal Control of Ethanol Synthesis, Proc. of 2nd International Conference of BUFSA, Trabzon, Turkey, 31 August-1 September 1992, pp.119-122
106. P. Angelov, A Package of Applied Programs for Optimal Control of Biotechnological Processes, Proc. International Conference on Modelling and Optimization of Biotechnological and Ecological Systems, Varna, Bulgaria, Sept. 21-25, 1990, pp.125-131, in Russian

1. A. Azman, D. Hutchison, P. Angelov, P Smith, Towards an Autonomous Resilience Strategy, The Implementation of a Self Evolving Rate Limiter, In Proc. UKCI 2013 (Y. Jin and S. A. Thomas Eds), 9-11 September, 2013, Guildford, UK, p.35, ISBN 978-1-4799-1568-2.
2. A Azman, D. Hutchison, P. Angelov, P. Smith, Adaptive Resilience for Computer Networks, 4th International Workshop on Reliable Networks Design and Modeling, RNDM'12, 6-8 September, St Petersburg, Russia, 4 October 2012
3. A. Azman, P. Angelov, D. Hutchison, Towards Adaptive, Self-learning Resilience Strategies, 6th International Workshop on Self-Organizing Systems, IWSOS-2012, Delft, The Netherlands, 15-16 March 2012.
4. P. Angelov, ALMA for Evolving Systems, 12th NCEI, Auckland, New Zealand, 8 June 2012.
5. P. Angelov, C. Xydeas, C. D. Bocaniala, D. Ansell, C. Patchett and M. Everett, UAV collision avoidance - state of the art and possible solutions, VTOL UAV, Helitech, 3-5 Oct. 2007, Duxford, UK.
6. P. Angelov, Nature Inspired Techniques for Real-Time Knowledge Extraction form the Data, NiSiS Conference, 8-9 June 2006, pp.1-3
7. P. Angelov, F. von Eggeling, R. Guthke, Classification of Carcinoma Kidney Tissue Status based on the Data of Protein Expression using LS – SVM, International Workshop on Intelligent Technologies for Gene Expression-based Individualized Medicine, Jena, Germany, 9 May 2003, pp. 18-19, full paper on CD-ROM
8. P. Angelov, O. Bernard, G. Bastin, C. Stentelaire and M. Asther, Hybrid Modelling of Biotechnological Processes using Neural Networks, 2nd European Symposium on BioEngineering Systems ESBES-2, Porto, Portugal, 17-20 Sept 1998, p.219
9. P. Angelov, Fuzzy Mathematical Programming Problem Solving, European Congress on Operations Research, EURO-XIII, Glasgow, Scotland, 4-6 July 1994, p.374, invited paper
10. P. Angelov, N. Zamdzhiev and S. Tzonkov, Optimal Control of Biotechnological processes, 10th Control Conference, Wroclaw, Poland, 1993, p.171-172

P. Angelov, N. Kasabov, Evolving Intelligent Systems, eIS, IEEE SMC eNewsLetter, June 2006, pp.1-13

Nature Protocols entry:

J. Trevisan, P. P. Angelov, P. L. Carmichael, A. D. Scott and F. L. Martin, A computational protocol and software implementation (as a MATLAB application) for biomarker identification in infrared spectroscopy datasets, Nature Protocols, 2010,doi: 10.1038/nprot.2010.97 [Online 6 May 2010]

Technical reports

1. P. Angelov, P Sadeghi-Tehran, A. Khan, A. Wilding, AURORA: The Impact of Changing Scenarios on the Systematic Methodology Employed, Lancaster University, 23pp., 30 October 2013
2. G Morris, P. Angelov, Autonomous Object Detection and Tracking in Real Time: Requirements Analysis, 25pp., September 2013
3. P Sadeghi-Tehran, P. Angelov, G Markarian, State of the Art of Data and Information Processing Methods and Algorithms for VideoAnalytics, Novelty Detection and Object Identification, 15pp., 14 February 2013
4. P. Angelov, D. Kolev, G. Markarian, SVETLANA: Self-learning Algorithms for Automated Flight Data Analyis, Final Report, 40pp., Lancaster University, April 2012
5. P. Angelov, D. Kolev, A. Ali, G. Markarian, SVETLANA Interim Report, 30pp., Lancaster University, December 2011
6. P. Angelov, R. D. Baruah, J. Iglesias, STAKE:Real-time Spatio-Temporal Analysis and Knowledge Extraction through evolving clustering, Final Report (Ref: DSTLX10000544446), Lancaster University, 68pp., 30 June 2011
7. P. Angelov, J. Andreu, P. Sadeghi-Tehran, X. Zhou, Assisted Carriage: Intelligent Leader-Follower Algorithms for Ground Platforms, Lancaster University, 24pp., 18 Nov. 2009
8. P. Angelov Passive Optimal 'Sense and Avoid' Re-routeing (POSAR): An Integrated Approach to Autonomous Collision Detection, Avoidance, and Re-routeing of Uninhabited Aerial Systems, Lancaster University, 27pp., 16 May 2008
9. J. J. Macias-Hernandez, P. Angelov, A. Macias-Ojieda, Innovative use of rigorous dynamic chemical simulation UNISIM software for design of evolving soft sensors with On-line process connectivity (OPC), a report to the Honeywell User Group Competition, Hamburg, Germany, October 2008
10. P.P. Angelov, C. D. Bocaniala and C. Xydeas, UAV Collision Avoidance Algorithm Development - Final Report, issue 3, 27 March 2007, Lancaster University, 69pp.
11. S. McDonald, C. Xydeas, P. Angelov, Better Clinical Decisions for Less Effort: Building Prediction Software Models to Improve Anticoagulation Care and Prevent Thrombosis and Strokes: Evolving non-linear models and other methods, December 2006, Lancaster University, 62pp.
12. G. Leng, P. Angelov, C. Xydeas, ASTRAEA T4 progress report, October 2006, Lancaster University, 12pp.
13. S. McDonald, C. Xydeas and P. Angelov, Better Clinical Decisions for Less Effort: Building Prediction Software Models to Improve Anticoagulation Care and Prevent Thrombosis and Strokes: Data Pre-processing and Conventional Decision Support Techniques, July 2006, Lancaster University, 75pp.
14. S. McDonald, C. Xydeas and P. Angelov, Better Clinical Decisions for Less Effort: Building Prediction Software Models to Improve Anticoagulation Care and Prevent Thrombosis and Strokes: Literature Review, February 2006, Lancaster University, 60pp.
15. M. Everett, P. Angelov, EvoMap: On-Chip Implementation of Intelligent Information Modelling using EVOlving MAPping, 2005, Lancaster University, 15pp.
16. J. A. Wright, P. P. Angelov, Y. Zhang and V. I. Hanby, Building System Design Synthesis and Optimization, Final Report on ASHARE-1049 RP, January 2004,Final Report ASHRAE, 1791 30 Tullie Circle, N.E. Atlanta, GA 30329, USA
17. P.P. Angelov, V. I. Hanby and J. A. Wright, Automatic Generation of Secondary HVAC Systems Configuration, Report on ASHARE-1049 RP, June 2000, Loughborough University, Loughborough, Leicestershire, UK, 45pp.

Book reviews

• P. Angelov, Review of "Construction Scheduling, Cost Optimization and Management: A New Model Based on NeuroComputing and Object technologies", by Hojjat Adeli and Asim Karim, Taylor and Francis Books Ltd (2001):In Engineering, Construction and Architectural Management Journal, vol.8, No3, 2001, pp.233-234