name of picture

Dr. Kazi Shah Nawaz Ripon

Address:
Computer Science and Engineering Discipline
Khulna University
Khulna-9208, Bangladesh

Email:
ripon@cseku.ac.bd

Phone:
+880-41-2831551


News


Events

Bio


coming soon...


Research Interests


Artificial Intelligence, Machine Learning, Combinatorial Optimization, Bio-Inspired Algorithms, Heuristics and Meta-Heuristics, Evolutionary Computation, Artificial Neural networks, Stochastic Algorithms, Unsupervised Learning, Intelligent Systems, Image Analysis.


Education


 


List of Publications


  • K. S. N. Ripon, and J. Nyman, 2019. “Hospital Surgery Scheduling under Uncertainty using Multiobjective Evolutionary Algorithms”, Studies in Big Data. (Accepted). Springer, ISSN: 2197-6503.
  • K. S. N. Ripon, L. E. Ali, N. Siddique, and J. Ma, 2019. “Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification”, inProceedings of 2019 International Joint Conference on Neural Networks (IJCNN), (Accepted), IEEE, Hungary.
  • J. Nyman, and K. S. N. Ripon, 2018. “Metaheuristics for the Multiobjective Surgery Admission Planning Problem”, inProceedings of 2018 IEEE Congress on Evolutionary Computation(IEEE CEC), pp. 1613–1620, IEEE, Brazil, ISBN: 978-1-5090-6017-7.
  • K. M. Alam, M. M. Moral, K. S. N. Ripon, B. Ray, and A. Akhter, 2018. “Applying Online-Based Publisher-Subscriber Network to Distribute Notice in Academic Institutions of Bangladesh”, in Proceedings of 20th International Conference on Computer and Information Technology 2017, IEEE, ISBN: 978-1-5386-9242-4.
  • K. S. N. Ripon, J. Solaas, and H. Dissen, 2017. “Multi-Objective Evolutionary Optimization for Autonomous Intersection Management”, Lecture Notes in Computer Science (LNCS), vol 10593, pp. 297–308, Springer, ISBN: 978-3-319-68759-9.
  • K. S. N. Ripon, L. E. Ali, S. Newaz, and J. Ma, 2017. “A Multi-Objective Evolutionary Algorithm for Color Image Segmentation”, Lecture Notes in Artificial Intelligence (LNAI), vol. 10682, pp. 168–177, Springer, ISBN:978-3-319-71927-6.
  • K. S. N. Ripon, T. Gjerde, and J. M. K. Godo, 2017. “Optimizing Bio-Inspired Propulsion Systems Using Genetic Algorithm”, in Proceedings ofIEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1663–1670, IEEE, USA, ISBN: 978-1-5386-4058-6.
  • H. Kvalsund, and K. S. N. Ripon, 2017. “Assessing the Impact of Self-Organizing Map on a Genetic Fuzzy Set Hybrid Intelligent System for Financial Prediction”, in Proceedings ofIEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 580–587, IEEE, USA, ISBN: 978-1-5386-4058-6.
  • K. S. N. Ripon, S. Newaz, L. E. Ali, and J. Ma, 2017. “Bi-Level Multi-Objective Image Segmentation Using Texture-Based Color Features”, in Proceedings of 20th International Conference on Computer and Information Technology 2017,IEEE, ISBN: 978-1-5386-1150-0.
  • K. S. N. Ripon, H. Dissen, and J. Solaas, 2016. “Real Time Traffic Intersection Management using Multi-Objective Evolutionary Algorithm”, Lecture Notes in ComputerScience (LNCS), vol. 10071, pp. 110–121, Springer, ISBN: 978-3-319-49000-7.
  • K. S. N. Ripon, E. Jakobsen, C. Tannum, and J. M. Montanier, 2016. “Assessing the Effect of Self-Assembly Ports in Evolutionary Swarm Robotics”, in Proceedings ofIEEE International Conference on Evolvable Systems (ICES), pp. 1-8, IEEE, Athens, Greece, ISBN: 978-1-5090-4240-1.
  • K. S. N. Ripon, and S. A. A. Rajon, 2016. “Stock Market Forecast Using Bio-Inspired Computing,” in Proceedings of3rd IEEE International Conference on Control, Decision and Information Technologies (CoDIT’16),pp. 523-529, IEEE, Malta, ISBN: 978-1-5090-2188-8.
  • K. S. N. Ripon, K. M. Qaiduzzaman, and M. A. Islam, 2016. “Effects of Heuristics in Path Planning for Mobile Robots in Uncertain and Dynamic Environments”, in Proceedings of19th IEEE International Conference on Computer and Information Technology (ICCIT 2016), pp. 451 – 456, IEEE, Dhaka, Bangladesh, ISBN 978-1-5090-4089-6.
  • K. S. N. Ripon, and J. Torresen, 2014. “Integrated Job Shop Scheduling and Layout Planning: A HybridEvolutionary Method for Optimizing Multiple Objectives,” Evolving Systems, vol. 5, no. 2, pp. 121–132,Springer, ISSN: 1868-6486.
  • K. S. N. Ripon, K. Glette, K. N. Khan, M. Hovin, and J. Torresen, 2013. “Adaptive Variable Neighborhood Search for Solving Multi-Objective Facility Layout Problems with Unequal Area Facilities,” Swarm and Evolutionary Computation, vol. 8, no. 1, pp. 1–12,Elsevier, ISSN: 2210-6502.
  • K. S. N. Ripon, K. Glette, M. Høvin, J. Tørresen, 2012. “Job Shop Scheduling with Transportation Delays and Layout Planning in Manufacturing Systems: A Multi-Objective Evolutionary Approach,” Lecture Notes in Computer Science (LNCS),vol. 7326, pp. 209–219, Springer-Verlag, Berlin / Heidelberg, ISBN: 978-3-642-31367-7.
  • K. S. N. Ripon, K. Glette, M. Høvin, J. Tørresen, 2012. “A Multi-Objective Evolutionary Algorithm for Solving Integrated Scheduling and Layout Planning Problems in Manufacturing Systems,” in ProceedingsofIEEE International Conference on Evolving and Adaptive Intelligent Systems,Madrid, Spain, pp. 157–163, ISBN: 978-1-4673-1727-6.
  • E. Samuelsen, K. Glette, K. S. N. Ripon, 2012, “A Neutral Evolutionary Path-Planner,” in Proceedings of7th International Symposium on Artificial Life and Robotics 2012 (AROB),Oita, Japan, pp. 851–854, ISBN: 978-4-9902880-6-8.
  • K. S. N. Ripon, K. Glette, D. Koch, M. Høvin, J. Tørresen, 2011. “Genetic algorithm using a modified backward pass heuristic for the dynamic facility layout problem,” PALADYN Journal of Behavioral Robotics, vol. 2, no. 3, pp. 164–174, Springer-Versita, ISSN: 2080-9778.
  • K. S. N. Ripon, N. H. Siddique, J. Tørresen, 2011. “Improved precedence preservation crossover for multi-objective job shop scheduling Problem,Evolving Systems, vol. 2, no. 2, pp. 119–129, Springer, ISSN: 1868-6486.
  • K. S. N. Ripon, K. Glette, M. Høvin, J. Tørresen, 2011. “Dynamic facility layout problem under uncertainty: A Pareto-optimality based multi-objective evolutionary approach,” Central European Journal of Computer Science, vol. 1, no. 4, pp. 375–386, Springer-Versita, ISSN: 1896-1533.
  • K. S. N. Ripon,K. N. Khan, K. Glette, M. Høvin, J. Tørresen, 2011. "Using Pareto-optimality for solving multi-objective unequal area facility layout problem", in Proceedings of13thAnnual Conference on Genetic and Evolutionary Computation (GECCO’11),Dublin, Ireland, pp. 681–688, ISBN: 978-1-4503-0557-0.
  • K. S. N. Ripon, A. Rahman, G. M. A. Rahaman, 2010. “A domain-independent similar-duplicate detection algorithm for data cleaning,” Journal of Computers, vol. 5, no. 12, pp. 1800–1809, ISSN 1796-203X.
  • M. F. Rahman, S. M. M. Karim, K. S. N. Ripon, M. I. H. Suvo, 2010. “Performance analysis of estimation of distribution algorithm and genetic algorithm in zone routing protocol,” International Journal of Computer Science and Information Security (IJCSIS), vol. 8, no. 5, pp. 203–207, ISSN 1947-5500.
  • K. S. N. Ripon,K. Glette, M. Høvin, J. Tørresen, 2010. “An adaptive local search based genetic algorithm for solving multi-objective facility layout problem,” Lecture Notes in Computer Science (LNCS),vol. 6443, pp. 540–550, Springer-Verlag, Berlin / Heidelberg, ISBN: 978-3-642-17536-7.
  • K. S. N. Ripon,K. Glette, M. Høvin, J. Tørresen, 2010. “A genetic algorithm to find Pareto-optimal solutions for the dynamic facility layout problem with multiple objectives,” Lecture Notes in Computer Science (LNCS),vol. 6443, pp. 642–651, Springer-Verlag, Berlin/Heidelberg, ISBN: 978-3-642-17536-7.
  • K. S. N. Ripon, K. Glette, M. Høvin, J. Tørresen, 2010. “Dynamic facility layout problem with hybrid genetic algorithm,” in Proceedings of the 9th IEEE International Conference on Cybernetic Intelligent Systems (CIS’10),Reading, UK, pp. 3338, ISBN: 978-1-4244-9022-6.
  • K. S. N. Ripon,K. Glette, M. Høvin, J. Tørresen, 2010. “Multi-objective evolutionary approach for solving facility layout problem using local search,” in Proceedings of25th ACM Symposium on Applied Computing (SAC’10), Sierre, Switzerland, pp. 1155–1156, ISBN 978-1-60558-639-7.
  • K. S. N. Ripon,K. Glette, M. Høvin, J. Tørresen, 2010. “Evolutionary multi-objective clustering with adaptive local search,” in Proceedings ofInternational Conference on Computer and Information Technology (ICCIT 2010), Bangladesh, pp.57–62, ISBN:978-1-4244-8496-6.
  • K. S. N. Ripon,K. Glette, O. Mirmotahari, M. Høvin, J. Tørresen, 2009. “Pareto optimal based evolutionary approach for solving multi-objective facility layout problem,” Lecture Notes in Computer Science (LNCS),vol. 5864, pp. 159–168, Springer-Verlag, Berlin / Heidelberg, ISBN: 978-3-642-10682-8.
  • K. S. N. Ripon,N. H. Siddique, 2009. “Evolutionary Multi-Objective Clustering for Overlapping Clusters Detection,” in Proceedings ofIEEE Congress on Evolutionary Computation 2009 (CEC’09),Norway, pp. 976–982,ISBN: 978-1-4244-2959-2.
  • K. S. N. Ripon,F. Tanha, F. Haque, 2009, “A supervised spiking neural network for generating multiple spikes”, in Proceedings of12th International Conference on Computer and Information Technology, Dhaka, Bangladesh, pp. 343-348, ISBN: 978-1-4244-6283-4.
  • K. S. N. Ripon, A. Rahman, S. Monjur, 2009, “A domain independent similar-duplicate detection algorithm for data cleaning”, in Proceedings of12th International Conference on Computer and Information Technology, Bangladesh, pp. 231-236, ISBN: 978-1-4244-6283-4.
  • K. S. N. Ripon, M. B. Hossain, B. C. Ghosh, 2008. “The rearrangement-based lightpath restoration scheme with multiple failures in WDM optical network,” in Proceedings ofInternational Conference on Electronics, Computer and Communication (ICECC 2008), Rajshahi, Bangladesh, pp. 717–721, ISBN: 984-300-002131-3.
  • K. S. N. Ripon, S. Kwong, K. F. Man, 2007. “A real coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization,” Information Sciences, Elsevier, vol. 177, no. 2, pp. 632–654, ISSN 0020-0255. 
  • K. S. N. Ripon, 2007. “Hybrid evolutionary approach for multi-objective job-shop scheduling problem,”Malaysian Journal of Computer Science, vol. 20, no. 2, pp. 183–198, ISSN: 0127-9084.
  • K. S. N. Ripon,C. –H. Tsang, S. Kwong, 2007. “An evolutionary approach for solving the multi-objective job-shop scheduling problem,” Studies in Computational Intelligence (SCI), vol. 49, pp. 165–195, Springer, Berlin / Heidelberg, 2007, ISBN: 978-3-540-48582-7.
  • A. Akther, K. S. N. Ripon, K. M. Alam, 2007. “DOT: A new distributed data management system,” in Proceedings of 10thInternationalConference on Information & Communication Technology, Dhaka, Bangladesh, pp. 184–188, ISBN: 984-32-3394-8.
  • K. S. N. Ripon, C. –H. Tsang, S. Kwong, 2006. “Multi-objective data clustering using variable-length real jumping genes genetic algorithm and local search method,” in Proceedings ofInternational Joint Conference on Neural Networks(ICJNN’06), Vancouver, Canada, pp. 3609–3616, ISBN: 0-7803-9490-9.
  • K. S. N. Ripon, C. –H. Tsang, S. Kwong, 2006. “Multi-objective evolutionary job-shop scheduling using jumping genes genetic algorithm,” in Proceedings ofInternational Joint Conference on Neural Networks(ICJNN’06), Vancouver, Canada, pp. 3100–3107, ISBN: 0-7803-9490-9.
  • K. S. N. Ripon, C. –H. Tsang, S. Kwong, M. K. Ip, 2006. “Multi-objective evolutionary clustering using variable-length real jumping genes genetic algorithm,” in Proceedings of the18th International Conference on Pattern Recognition (ICPR’06), pp. 1200–1203, ISBN: 0-7695-2521-0.
  • K. S. N. Ripon,K. H. Talukder, 2004. “Intelligent Systems for Network Management - an alternative to the Centralized Approach of Computer Network Management,” in Proceedings of the 7thInternationalConference on Computer & Information Technology, Dhaka, Bangladesh, pp. 214-219, ISBN: 984–32-1836-1.
  • S. M. R. Haque, K. S. N. Ripon, M. A. Islam, 2003. "Comprehensive investigation on web security at application level,” in Proceedings ofInternationalConference on Computer & Information Technology, Dhaka, Bangladesh, pp. 947–951, ISBN: 984-584-005-1.
  • S. M. R. Haque, K. S. N. Ripon, K. Barman, M. A. Rahman, A. B. M. R. Islam, 2003. A New Approach for Edge Detection with Automatically Optimum Scale Selection Through Scale-Space Theory, in Proceedings ofInternationalConference on Computer & Information Technology, Dhaka, Bangladesh, pp. 595–599, ISBN: 984-584-005-1.
  • K. H. Talukder, M. K. I. Molla, S. H. Ripon and K. S. N. Ripon, 2003. "Decision Tree for the structure of adaptive interview",in Proceedings of InternationalConference on Computer & Information Technology, Dhaka, Bangladesh, pp. 132–135, ISBN: 984-584-005-1.

Copyright © 1991 Computer Science and Engineering Discipline.
Khulna University, Khulna 9208, Bangladesh
+880-41-720171-3 (Ext.-1069 office) (Ext.-1105 head) +880-41-2831551 (direct)
Email: support@cseku.ac.bd