PEERS REVIEWED INTERNATIONAL CONFERENCES

  1. A. Nakib et al., Dynamic learning optimization algorithm for P2P-VoD Systems, To appear in Proc. of IEEE Data Science conf. 2017. Bangkok, Thailland. 
  2. A. Nakib, M. Hilia, F. Heliodore, E-G. Talbi, Design of Metaheuristic based on Machine Learning: a unified approach. Application on image denoising, In Proc. Of the 31st IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2017, pp. 510-518, Lake Buena Viesta, FL, USA, 29 May-2 June 2017. [PDF]
  3. A. Kaci, H-N. Nguyen, A. Nakib, P. Siarry, Hybrid heuristic for mapping task problem on large scale heteregeneous problem, In Proc. Of the 30th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2016, pp. 809-816, Chicago, Illinois, USA, May 23-27, 2016. [PDF]
  4. A. Nakib, A. Ghoumari, P. Siarry, Through the maximum a posteriori based metaheuristic, In Proc. of Int. Conf. on Metaheuristics and Nature Inspired Computing, pp.101-102, Oct. 27-31, 2016, Marrakech, Morocco.
  5. T. Rohmer, A. Nakib, A. Nafaa, Dynamic Peer Selection Strategy Evaluation in P2P-VoD Systems based on Evidence Theory, In Proc. of 

    IFAC / IEEE / IFORS / IFIP / INFORMS MIM 2016 Conference, Vol. 42, no. 12,  pp. 775-780, 

     June 28-30, 2016, Troyes, France.[PDF]
  6. A. Nakib, B. Thibault, P. Siarry, "Bayesian based metaheuristic for large scale continuous optimization", In Proc. Of the 29th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2015, pp. 314-322, Hyderabad, India, May 25-29, 2015. [PDF]
  7. M. Dakkak, B. Daachi, A. Nakib, P. Siarry, ”Multi-Layer Perceptron Neural Network and Nearest Neighbor Approaches for Indoor Localization”, In Proc. The 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1385-1392, San Diego, CA, USA, Oct. 5-8, 2014.[PDF]

  8. R. Menasri, H. Oulhadj, B. Daachi, A. Nakib, P. Siarry, ”A genetic algorithm designed for robot trajectory planning”, In Proc. Of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 234-239, San Diego, CA, USA, Oct. 5-8, 2014.[PDF]

  9. R.Menasri, H.Oulhadj, B.Daachi, A. Nakib, P.Siarry,”Smooth trajectory planning for robot using particle swarm optimization”, In Proc. Of the International Conference Swarm Intelligence Based Optimization, Mulhouse, France, May. 13-14, 2014.

  10. A. Nakib, E-G. Talbi, A. Fuser, "A Hybrid metaheuristic for annual hydropower generation", In Proc. Of the 28th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2014, pp. 747-481, Phoenix, AZ, USA, May 19-23, 2014.[PDF]
  11. T-A.Nguyen, H.Nguyen, A. Nakib, E. Petit, ”Transaction level simulation of network based on computing systems”, In Proc. Of the 2014 International Conference on Computational Science and Computational Intelligence CSCI2014, Las Vegas, USA, March 10-13, 2014, pp. 268-271.[PDF]

  12. I. Baghli, A. Nakib, E. Sellam, O. Benazzouz, A. Chikh, E. Petit, ”Hybrid framework based on evidence theory for blood cell image segmentation”, In SPIE porc. Vol. 9038, pp. 903815-1-8, Medical Imaging 2014, San Diego, CA,  USA, Feb. 15-19, 2014. 

  13. R. Menasri, A. Nakib, H. Oulhadj, B. Daachi, P. Siarry, G. Hains, ”Path planning for redundant manipulators using metaheuristic for bilevel optimization and maximum of manipulability”, in Proc. Of IEEE International Conference Robotics and Biomimetics (ROBIO) 2013„ Shenzhen, China, pp. 145-150, Dec. 12-14, 2013. [PDF]

  14. T. Rohmer, A. Nakib, J. Lepagnot, A. Nafaa, ”Adaptive Peer Selection Strategy in P2P-VoD systems based on Dynamic Metaheuristic”, in Proc. Of IEEE int. Conf on Para. and Dist.Sys. ICPADS 2013, Seoul, Korea, Dec. 15-18, 2013, pp. 436-437. [PDF]

  15. T-A. Nguyen, A. Dufour, O. Tankyevych, A. Nakib, E. Petit, H. Talbot, N. Passat, ”Thin object filtering: a combined approach based on non-local means, gaussian derivative and spatially-variant mathematical morphology”, In Proc. Of the IEEE International Conference on Image Processing, ICIP 2013, pp. 1237-1241, Melbourne, Australia, Sept. 15-18, 2013. [PDF]

  16. A. El Dor, J. Lepagnot, A. Nakib, P. Siarry, ”PSO-2S Optimization Algorithm for Brain MRI Segmentation”, In Proc. 7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013, Prague, Czech Republic, Vol. 238, pp 13-22, August 25-27, 2013.

  17. T. Rohmer, A. Nakib, ”A Dynamic Approach to Optimal Peer Selection in Peer-to-Peer Video-on-Demand Systems”, The XXVI EURO-INFORMS Joint International Conference, Rome, Italy, July 1-4, 2013.

  18. T. Rohmer, A. Nakib, A. Nafaa, ”Optimal peer selection strategy in P2P-VoD systems using based Dynamic Evolution Strategy”, In Proc. Of the 27th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2013, pp. 747-481, Boston, Massachusetts, USA, May 20-24, 2013.[PDF]

  19. I. Boussaad, A. Nakib, F. Heliodore, "Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid”, In Proc. Of the 27th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2013, pp. 466-473, Boston, Massachusetts, USA, May 20-24,2013. [PDF]
  1. FH. Sarieddeen, R. El Berbari, S. Imad, J. Abdel Baki, M. Hamad, R. Blanc, A. Nakib, and Y. Chenoune, ”Image Clustering Framework for BAVM Segmentation in 3DRA Images: Performance Analysis”, 4th International Conference on Digital Image Processing (ICDIP), Dubai, Arab Emirates, Jan. 30-31, 2013, vol. 7, no. 1, pp. 638-642.

  2. A. Nakib, B. Daachi, P. Siarry, ”Hybrid differential evolution using low-discrepancy se- quences for image segmentation”, in Proc. Of the 26th IEEE Int. Parallel and Distributed Processing Symposium, IPDPS’2012, Shanghai, China, May 21-25, 2012, pp. 627-633. [PDF]

  3. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”A Dynamic multi-agent algorithm applied to challenging benchmark problems”, in Proc. Of the IEEE Congress on Evolutionary Computation, CEC 2012, as a part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012, pp. 2508-2515, [PDF]

  1. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine-MRI Sequences Registration using B-spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm”, in 6th International Conference on Learning and Intelligent Optimization Conference, LION 6, Paris, France, Jan. 16-20, 2012, pp.443-448. 

  2. A. Nakib, Y. Scheluze, E. Petit, ”Optimal fractional filter for image segmentation”, In Proc. of SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950P; doi:10.1117/12.908715, San Francisco, CA, USA, Jan. 22-26, 2012.

  3. A. Masson-Sibut, A. Nakib, E. Petit, F. Leitner, ”New automatic landmarks extraction framework on ultrasound images of the femoral condyles” in Proc. of the SPIE Medical Imaging conference, San Diego, CA, USA, Feb. 4-6, 2012.

  1. T. Rohmer, A. Nafaa, A. Nakib, ”On allocation strategies in Peer Assisted VOD streaming Systems”, in Proc. of the 17th IEEE Symposium on Computers and Communications, ISCC’12, Cappadocia, Turkey, July 1-4, 2012, pp. 551-558.[PDF]

  2. S. Hajjem, H. Oulhadj, A. Nakib, M. Tagina, P. Siarry, ”Fusion of criteria for evaluating MRI image segmentation”,in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012

  3. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Performance analysis of MLSDO dynamic op- timization algorithm”, in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012

  4. B.Ismail, F.Heliodore, L. Urrego, S. Medina, A. Philippe, S. Poullain, E.Courbon, A. Nakib, P. Siarry, F. Gallon, ”Non-Parametric Estimation of Apha-Stable Distributions through Metaheuristics: Particle Swarm Optimization Approach applied to a Power Grid”, in Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui- Sousse, Tunisia, October26-31, 2012

  5. B. Ismail, F. Heliodore, S. Poullain, A. Nakib, P. Siarry, L. Urrego, S. Medina, F. Gallon, ”Optimal Location and Sizing of FACTS using Bi-Level Levy Based PSO”,n Proc. Of the Int. Conf. on Metaheuristics and Nature Inspired Computing, META’2012, Port El-Kantaoui-Sousse, Tunisia, October26-31, 2012

  1. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine MRI segmentation based on a

    multiagent algorithm for dynamic continuous optimization”, in Proc. of the IEEE Congress on Evolutionary Computation, CEC’2011, as a part of the 2011 IEEE World Congress on Computational Intelligence, WCCI 2011, New Orleans, LA, USA, June 2011, vol. 1, pp. 1695-1702. [PDF]

  2. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Brain cine-MRI registration using MLSDO dynamic optimization algorithm”, in Proc. of the 9th Metaheuristics International Confer- ence, MIC’2011, Udine, Italy, July 2011, vol. 1, pp. 241-249.

  3. A. Masson-Sibut, E. Petit, F. Leitner, F. Normand, A. Nakib, J. B. Pinzuti, ”Bone Surface Segmentation in Ultrasound Images. Application in Computer Assisted Intramedullary Nailing of the Tibia Shaft”, in Proc. Of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems, MIAD 2011, Roma, Italy, January 26-29, 2011.

  4. A. Masson-Sibut, A. Nakib, E. Petit, F. Leitner, ”Computer Assisted Intramedullary Nailing using Real-Time Bone Detection in 2D Ultrasound Images”, in Machine Learning in Medical Imaging (MLMI), Workshop at the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto Canada September 18-24, 2011.

  1. S. Hajjem, A. Nakib, H. Oulhadj, P. Siarry, ”Brain MRI segmentation based on shortest path and biased survival exponential entropy”, in Proc. of the 10th Biennal Int. Conf. on Artificial Evolution, EA’2011, Angers, France, Oct. 24-26, 2011.

  2. A.Nakib, F.Aiboud, J. Hodel, P. Siarry, P. Decq, ”Third brain ventricle deformation analysis using fractional differentiation and evolution strategy in brain cine-MRI”, in Proc. of the SPIE Medical Imaging conference, San Diego, USA, Feb. 13-18, 2010, vol. 7623, pp. 76232I-1 to 76232I-10.

  3. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”A Multi-Agent based Algorithm for Continu- ous Dynamic Optimization”, In EU/MEeting 2010 workshop, Lorient, France, June 2010.

  4. J. Lepagnot, A. Nakib, H. Oulhadj, P. Siarry, ”Performance analysis of MADO dynamic optimization algorithm”, in Proc. Of the 9th IEEE Int. Conf. on Intelligent Systems Design and Applications, ISDA’09, Pisa, Italy, Nov. 30 - Dec. 2, 2009, pp. 37-42. [PDF]

  5. M. Dakkak, A. Nakib, B. Daachi, P. Siarry, J. Lemoine, ”Mobile indoor location based on fractional differentiation”, in Proc. Of the IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, April 2012, pp. 2003-2008. [PDF]

  6. Y. Cooren, A. Nakib, and P. Siarry, "Image thresholding using TRIBES, a parameter-free particle swarm optimization algorithm". In Proc. Of Int. Conf. on Learning and Intelligent Optimization (LION 2007 II), Trento, Italy, December 8-12 2007.
  7. A. Nakib, Y. Cooren, H. Oulhadj, and P. Siarry, "Magnetic resonance image segmentation based on two-dimensional exponential entropy and a parameter free PSO", In Proc. of Int. Conf. on Evolution Artificial EA'07. Tours, France, October 29-31, 2007, pp. 50-61.
  8. A. Nakib, S. Roman, H. Oulhadj, and P. Siarry, "Fast MRI segmentation based on two dimensional survival exponential entropy and particle swarm optimization". In proc. of the 29th Annual Int. Conf. on the IEEE EMBS, Lyon, France, August 22-26 2007, pp. 5563-5565. [PDF]
  9. A. Nakib, H. Oulhadj, and P. Siarry, "Microscopic image segmentation with two-dimensional exponential entropy based on hybrid microcanonical annealing". IAPR Conference on Machine Vision Applications (MVA2007). pp. 420-423, Tokyo, Japan, May 16-18 2007.
  10. A. Nakib, Y. Ferdi, "Entropy Reduction in fractionally differentiated electrocardiogram signals", In proc. of Int. Conf. EMBC'02, pp. 562-563, Vienna, Austria, Dec. 4-8 2002.