Publications

Journal Papers

  1. F. Kabir, T. Chen, S. A. Ludwig, A Performance Analysis of Dimensionality Reduction Algorithms in Machine Learning Models for Cancer Prediction, Journal of Healthcare Analytics, Vol. 3, Elsevier, 2023.
  2. S. Shi, B. Jiang, S. A. Ludwig, L. Xu, H. Wang, Y. Huang, and F. Yan, Optimization for Pipeline Corrosion Sensor Placement in Oil-Water Two-Phase Flow Using CFD Simulations and Genetic Algorithm, Sensors 23, no. 17: 7379, 2023.
  3. J. Duan, Yanpeng Liu, L. Zhu, S. Ma, Q. Gong, A. Dolgopolova, and S. A. Ludwig, Delineation of Integrated Anomaly with Generative Adversarial Networks and Deep Neural Networks in the Zhaojikou Pb-Zn Ore District, Southeast China, ACTA GEOLOGICA SINICA-ENGLISH EDITION 97 (4): 1252–67, 2023.
  4. S. A. Ludwig, Performance Analysis of Data Fusion Methods Applied to Epileptic Seizure Recognition, Journal of Artificial Intelligence and Soft Computing Research, vol. 12, no. 1, pp. 5-17, 2022.
  5. A. Roy, S. A. Ludwig, Genre based hybrid filtering for movie recommendation engine, Journal of Intelligent Systems, vol. 56, pp. 485-507, Springer, 2021.
  6. S. A. Ludwig, Investigation of Orientation Estimation of Multiple Inertial Measurement Units, Journal of Unmanned Systems, World Scientific, December 2020 (online).
  7. A. Roy and S. A. Ludwig, Recovery Algorithm to Correct Silent Data Corruption of Synaptic Storage in Convolutional Neural Networks, International Journal of Hybrid intelligent Systems (IJHIS), IOS Press, vol. 16, no. 3, pp. 177-187, 2020.
  8. J. Al-Sawwa and S. A. Ludwig, Performance Evaluation of a Cost-Sensitive Differential Evolution Classifier using Spark - Imbalanced Binary Classification, Journal of Computational Science, vol. 40, 2020.
  9. J. Al-Sawwa and S. A. Ludwig, Parallel Particle Swarm Optimization Classification Algorithm Variant implemented with Apache Spark, Journal of Concurrency and Computation: Practice and Experience, Wiley, vol. 32, no. 2, 2020.
  10. M. F. Kabir and S. A. Ludwig, Enhancing the Performance of Classification Using Super Learning, Journal of Data-Enabled Discovery and Applications, Springer, vol. 3, no. 5, 2019.
  11. A. Shewalkar, D. Nyavanandi, S. A. Ludwig, Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU, Journal of Artificial Intelligence and Soft Computing Research, vol. 9, no. 4, 2019.
  12. S. A. Ludwig, Applying a Neural Network Ensemble to Intrusion Detection, Journal of Artificial Intelligence and Soft Computing Research, vol. 9, no. 3, 2019.
  13. S. Pattanayak and S. A. Ludwig, A secure access authentication scheme for multiserver environments using Neural Cryptography, Journal of Information Assurance and Security (JIAS), Volume 13 (2018) pp. 056-065, 2018.
  14. G. Miryala, S. A. Ludwig, Comparing Spark with MapReduce - Glowworm Swarm Optimization applied to Multimodal Functions, International Journal of Swarm Intelligence Research, IGI Global, vol. 9, no. 3, 2018.
  15. D. Dawar, S. A. Ludwig, Effect of Strategy Adaptation on Differential Evolution in Presence and Absence of Parameter Adaptation: An Investigation, Journal of Artificial Intelligence and Soft Computing Research, vol. 8, no. 3, pp. 211-235, 2018.
  16. S. A. Ludwig, J. Kong, Investigation of Different Classifiers and Channel Configurations of a Mobile P300-based Brain-Computer Interface, Journal of Medical & Biological Engineering & Computing, Springer, vol. 55, no. 12, pp. 2143-2154, Springer, 2017.
  17. M. Chen, S. A. Ludwig, Color Image Segmentation Using Fuzzy C-Regression Model, Advances in Fuzzy Systems, vol. 17, no. 1, 2017.
  18. D. Dawar, S. A. Ludwig, A Differential Evolution Based Multiclass Vehicle Detector and Classifier for Urban Environments, International Journal of Swarm Intelligence Research, IGI Global, vol. 8, no. 3, 2017.
  19. S. A. Ludwig, Book review of Anthony Brabazon, Michael O'Neill, Sean McGarraghy: Natural computing algorithms, Springer, 2015, 554 pp, Genetic Programming and Evolvable Machines 17(2): 193-195, 2016.
  20. Y. Huang, S. A. Ludwig, F. Deng, Sensor Optimization Using a Genetic Algorithm for Structural Health Monitoring in Harsh Environments, Journal of Civil Structural Health Monitoring, Springer, vol. 6, no. 3, pp. 509-519, 2016.
  21. I. Aljarah, S. A. Ludwig, A Scalable MapReduce-enabled Glowworm Swarm Optimization Approach for High Dimensional Multimodal Functions, International Journal of Swarm Intelligence Research, IGI Global, vol. 7, no. 1, pp. 34-56, 2016.
  22. S. A. Ludwig, MapReduce-based Fuzzy C-Means Clustering Algorithm: Implementation and Scalability, International Journal of Machine Learning and Cybernetics, Springer, vol. 6, no. 6, pp. 923-934, 2015.
  23. S. A. Ludwig, D. Dawar, Parallelization of Enhanced Firework Algorithm using MapReduce, International Journal of Swarm Intelligence and Research, IGI Global, vol. 6, no. 2, pp. 32-51, 2015.
  24. S. A. Ludwig, Repulsive Self-adaptive Acceleration Particle Swarm Optimization Approach, Journal of Artificial Intelligence and Soft Computing Research, vol. 4, no. 3, 2014.
  25. M. Chen, S. A. Ludwig, Particle Swarm Optimization based Fuzzy Clustering Approach to Identify Optimal Number of Clusters, Journal of Artificial Intelligence and Soft Computing Research, vol. 4, no. 1, 2014.
  26. M. Chen, S. A. Ludwig, A Fuzzy Discrete Particle Swarm Optimization Classifier for Rule Classification, International Journal of Hybrid Intelligent Systems (IJHIS), IOS Press, vol. 11, pp. 145-156, 2014.
  27. S. A. Ludwig, Memetic Algorithms applied to the Optimization of Workflow Compositions, Journal of Swarm and Evolutionary Computation, Elsevier, vol. 10, no. 5, pp. 31-40, 2013.
  28. M. Dong, M. Eramian, S. A. Ludwig, Roger A. Pierson, Automatic Detection And Segmentation of Bovine Corpora Lutea In Ultrasonographic Ovarian Images Using Genetic Programming And Rotation Invariant Local Binary Patterns, Journal of Medical & Biological Engineering & Computing, Springer, vol. 51, no. 4, pp. 405-416, 2013.
  29. S. A. Ludwig, A. Moallem, Swarm Intelligence Approaches for Grid Load Balancing, Journal of Grid Computing, Springer, vol. 9, no. 3, pp. 279-301, 2011.
  30. S. A. Ludwig, S. Roos, M. Frize, N. Yu, Medical Outcome Prediction for Intensive Care Unit Patients, International Journal of Computational Models and Algorithms in Medicine, IGI Global, vol. 1, no. 4, pp. 19-30, 2010.
  31. S. A. Ludwig, Comparison of a Deductive Database with a Semantic Web Reasoning Engine, International Journal of Knowledge-Based Systems, Elsevier, vol. 23, no. 6, pp. 634-642, 2010.
  32. S. A. Ludwig, Sensor Grid Architecture for Remote Patient Health Care Monitoring, International Journal of Semantic Computing, vol. 3, no. 3, pp. 291-309, 2009.
  33. S. A. Ludwig, O. F. Rana, Performance Evaluation of Semantic Registries: OWLJessKB and instanceStore, Journal of Service Oriented Computing and Applications, Springer, vol. 2, no. 1, pp. 41-46, 2008.
  34. D. Bell, S. A. Ludwig, M. Lycett, Enterprise Application Reuse: Semantic Discovery of Business Grid Services, Journal of Information Technology and Management, vol. 8, no. 3, pp. 223-239, 2007.
  35. S. A. Ludwig, O. F. Rana, W. Naylor, J. Padget, Mathematical Service Discovery: Architecture, Implementation and Performance, Journal of Scalable Computing: Practice and Experience, vol. 7, no. 2, pp. 35-52, 2006.
  36. S. A. Ludwig, O. F. Rana, J. Padget, W. Naylor, Matchmaking Framework for Mathematical Web Services, Journal of Grid Computing, Springer, vol. 4, no. 1, pp. 33-48, 2006.
  37. S. A. Ludwig, S. M. S. Reyhani, Semantic Approach to Service Discovery in a Grid Environment, Journal of Web Semantics, Elsevier, vol. 4, no. 1, pp. 1-13, 2006.
  38. D. Bell, S. A. Ludwig, Grid Service Discovery in the Financial Markets Sector, Journal of Computing and Information Technology, vol. 13, no. 4, pp. 265-270, 2005.
  39. S. A. Ludwig, S. M. S. Reyhani, Introduction of Semantic Matchmaking to Grid Computing, Journal of Parallel and Distributed Computing, Elsevier, vol. 65, no.12, pp. 1533-1541, 2005.
  40. S. A. Ludwig, L. Raisanen, S. M. S. Reyhani, Investigation of Matchmaking and a Genetic Algorithm for Multilateral and Integrative E-Negotiations, Transactions on Information Science and Applications, vol. 2, no. 5, pp. 474-479, 2005.
  41. S. A. Ludwig, O. F. Rana, D. J. Veit, MatchMaking Shell: A Shell for supporting Service Negotiation, Journal of Decision Systems, vol. 13, no. 4, pp. 461-475, 2004.

Conference Papers

  1. R. Alenezi and S. A. Ludwig, Using Teaching Learning-Based Optimization with Convolutional Neural Network to Detect Pneumonia Based On Chest X-Ray Images, International Conference on Artificial Intelligence, Computer, Data Sciences and Applications, Mahe, Seychelles, February 2024.
  2. H. Alibrahim and S. A. Ludwig, Image Forgery Detection Algorithm Using Particle Swarm Optimization, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, December 2023.
  3. S. A. Ludwig, Explainability Using SHAP for Epileptic Seizure Recognition, IEEE Big Data, Osaka, Japan, December 2022.
  4. R. Alenezi and S. A. Ludwig, Detecting Pneumonia Based On Chest X-Ray Images Using Reinforcement Learning, IEEE Artificial Intelligence & Knowledge Engineering, Laguna Hills, California, September, 2022.
  5. C. Ticala, C.-M. Pintea, S. A. Ludwig, M. Hajdu-Macelaru, O. Matei, P. C. Pop, Fuzzy Index Evaluating Image Edge Detection obtained with Ant Colony Optimization, 2022 IEEE International Conference on Fuzzy Systems, Padua, Italy, July 2022.
  6. Y. Nitta, M. Borders, and S. A. Ludwig, Analysis of Gene Expression Cancer Data Set: Classification of TCGA Pan-cancer HiSeq Data, 2021 IEEE International Conference on Big Data (IEEE BigData), December 2021.
  7. J. A. DeNio and S. A. Ludwig, Improving Transaction Speed and Scalability in Blockchain Systems, at 9th International Workshop on Distributed Storage and Blockchain Technologies for Big Data at 2021 IEEE International Conference on Big Data (IEEE BigData), December 2021.
  8. R. Alenezi and S. A. Ludwig, Explainability of Cybersecurity Threats Data Using SHAP, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
  9. R. Alenezi and S. A. Ludwig, Classifying DNS Tunneling Tools For Malicious DoH Traffic, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
  10. H. Alibrahim and S. A. Ludwig, Image Encryption Algorithm based on Particle Swarm Optimization and Chaos Logistic Map, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
  11. H. Alibrahim and S. A. Ludwig, Investigation of Domain Name System Attack Clustering using Semi-Supervised Learning with Swarm Intelligence Algorithms, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
  12. H. Alibrahim and S. A. Ludwig, Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization, 2021 IEEE Congress on Evolutionary Computation, July 2021.
  13. S. A. Ludwig, Epileptic Seizure Recognition: Deep Neural Network Ensemble versus Choquet Fuzzy Integral Fusion, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, December 2020.
  14. S. Pattanayak and S. A. Ludwig, Analyzing Privacy of Time Series Data Using Substitute Autoencoder Neural Network, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, December 2020.
  15. M. Ramzanpour and S. A. Ludwig, Association Rule Mining Based Algorithm for Recovery of Silent Data Corruption in Convolutional Neural Network Data Storage, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, December 2020.
  16. M. F. Kabir and S. A. Ludwig, Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, December 2019.
  17. J. Al-Sawwa and S. A. Ludwig, A Cost-Sensitive Centroid-based Differential Evolution Classification Algorithm applied to Cancer Data Sets, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, December 2019.
  18. S. A. Ludwig, Comparison of Time Series Approaches applied to Greenhouse Gas Analysis: ANFIS, RNN, and LSTM, 2019 IEEE International Conference on Fuzzy Systems, New Orleans, USA, June 2019.
  19. S. Pattanayak and S. A. Ludwig, Improving Data Privacy Using Fuzzy Logic and Autoencoder Neural Network, 2019 IEEE International Conference on Fuzzy Systems, New Orleans, USA, June 2019.
  20. M. F. Kabir, S. A. Ludwig and A. S. Abdullah, Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining, 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018.
  21. M. F. Kabir and S. Ludwig, Classification of Breast Cancer Risk Factors Using Several Resampling Approaches, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, FL, USA, 2018.
  22. J. Al-Sawwa and S. A. Ludwig, Centroid-Based Particle Swarm Optimization Variant for Data Classification, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, November 2018.
  23. S. A. Ludwig, Optimization of Control Parameter for Filter Algorithms for Attitude and Heading Reference Systems, 2018 IEEE Congress on Evolutionary Computation, Rio de Janeiro, Brazil, July 2018.
  24. S. A. Ludwig, Genetic Algorithm based Kalman Filter Adaptation Algorithm for Magnetic and Inertial Measurement Unit, 2018 IEEE Congress on Evolutionary Computation, Rio de Janeiro, Brazil, July 2018.
  25. S. A. Ludwig, K. D. Burnham, Comparison of Euler Estimate using Extended Kalman Filter, Madgwick and Mahony on Quadcopter Flight Data, 2018 International Conference on Unmanned Aircraft Systems (ICUAS'18), Dallas, Texas, USA, June 2018.
  26. S. A. Ludwig, A. R. Jimenez, Optimization of Gyroscope and Accelerometer/Magnetometer Portion of Basic Attitude and Heading Reference System, Proceedings of 2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL), Lake Como, Italy, March 2018.
  27. S. A. Ludwig, K. D. Burnham, A. R. Jimenez, P. A. Touma, Comparison of attitude and heading reference systems using foot mounted MIMU sensor data: basic, Madgwick, and Mahony, Proceedings of SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Denver, CO, USA, March 2018.
  28. Y. Huang, S. A. Ludwig, Sensor optimization using an evolutionary strategy for structural health monitoring in high temperature environments, Proceedings of SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Denver, CO, USA, March 2018.
  29. S. Pattanayak and S. A. Ludwig, Encryption based on Neural Cryptography, Proceeding of Ninth World Congress on Nature and Biologically Inspired Computing (NaBIC), Dehli, India, December 2017.
  30. S. A. Ludwig, Intrusion Detection of Multiple Attack Classes using a Deep Neural Net Ensemble, IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, October 2017.
  31. G. Xia, S. A. Ludwig, Object Tracking using Particle Swarm Optimization and Earth Mover's Distance, 2017 IEEE Congress on Evolutionary Computation, Donostia - San Sebastian, Spain, June 2017.
  32. C.-M. Pintea, S. A. Ludwig, P. C. Pop and O. Matei, Similarities and Sensitivity: Immune and Ant Algorithms Applied towards Robotics, 2017 IEEE Congress on Evolutionary Computation, Donostia - San Sebastian, Spain, June 2017.
  33. S. Picek, A. Heuser, A. Jovic, S. A. Ludwig, S. Guilley, D. Jakobovic and N. Mentens, Side-Channel Analysis and Machine Learning: A Practical Perspective, IEEE International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, USA, June 2017.
  34. G. Xia, S. A. Ludwig, Object-tracking based on Particle Filter using Particle Swarm Optimization with Density Estimation, 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 2016.
  35. S. A. Ludwig, Improved Glowworm Swarm Optimization Algorithm applied to Multi-level Thresholding, 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 2016.
  36. S. A. Ludwig, Running Krill Herd Algorithm on Hadoop: A Performance Study, 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 2016.
  37. S. A. Ludwig, D. Jakobovic, S. Picek, Analyzing Gene Expression Data: Fuzzy Decision Tree Algorithm applied to the Classification of Cancer Data, 2015 IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, August 2015.
  38. C.-M. Pintea, S. A. Ludwig, G. C. Crisan, Adaptability of a Discrete PSO Algorithm applied to the Traveling Salesman Problem with Fuzzy Data, 2015 IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, August 2015.
  39. D. Dawar, S. A. Ludwig, A Differential Evolution Based Axle Detector for Robust Vehicle Classification, 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan, May 2015.
  40. S. A. Ludwig, K. Bauer, Immune Network Algorithm applied to the Optimization of Composite SaaS in Cloud Computing, 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan, May 2015.
  41. D. Dawar, S. A. Ludwig, Differential Evolution with Dither and Annealed Scale Factor, IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, December 2014.
  42. N. Al-Madi, I. Aljarah, S. A. Ludwig, Parallel Glowworm Swarm Optimization Clustering Algorithm based on MapReduce, IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, December 2014.
  43. S. A. Ludwig, Clonal Selection based Fuzzy C-Means Algorithm for Clustering, Proceedings of Genetic and Evolutionary Computation Conference (ACM GECCO), Vancouver, BC, Canada, July 2014.
  44. S. A. Ludwig, MapReduce-based Optimization of Overlay Networks using Particle Swarm Optimization, Proceedings of Genetic and Evolutionary Computation Conference (ACM GECCO), Vancouver, BC, Canada, July 2014.
  45. M. Chen, S. A. Ludwig, Fuzzy Clustering Using Automatic Particle Swarm Optimization, Proceedings of 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, July 2014.
  46. M. Naseri, S. A. Ludwig, Extracting workflow structures through Bayesian learning and Provenance Data, Proceedings of the 13th International Conference on Intelligent Systems Design and Applications (IEEE), Malaysia, December 2013.
  47. S. A. Ludwig, Particle Swarm Optimization Approach with Parameter-wise Hill-climbing Heuristic for Task Allocation of Workflow Applications on the Cloud, Proceeding of IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington DC, USA, November 2013.
  48. M. Chen, S. A. Ludwig, Fuzzy Decision Tree using Soft Discretization and a Genetic Algorithm based Feature Selection Method, Proceeding of Fifth World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Fargo, ND, USA, August 2013.
  49. N. Al-Madi, S. A. Ludwig, Scaling Genetic Programming for Data Classification using MapReduce Methodology, Proceeding of Fifth World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Fargo, ND, USA, August 2013.
  50. S. A. Ludwig, Towards A Repulsive and Adaptive Particle Swarm Optimization Algorithm, Proceeding of Genetic and Evolutionary Computation Conference (ACM GECCO), Amsterdam, Netherlands, July 2013 (short paper).
  51. N. Al-Madi, S. A. Ludwig, Segment-Based Genetic Programming, Proceeding of Genetic and Evolutionary Computation Conference (ACM GECCO), Amsterdam, Netherlands, July 2013 (short paper).
  52. I. Aljarah, S. A. Ludwig, Towards a Scalable Intrusion Detection System based on Parallel PSO Clustering Using MapReduce, Proceeding of Genetic and Evolutionary Computation Conference (ACM GECCO), Amsterdam, Netherlands, July 2013 (short paper).
  53. I. Aljarah, S. A. Ludwig, A New Clustering Approach based on Glowworm Swarm Optimization, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 2013.
  54. I. Aljarah, S. A. Ludwig, MapReduce Intrusion Detection System based on a Particle Swarm Optimization Clustering Algorithm, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 2013.
  55. N. Al-Madi, S. A. Ludwig, Improving Genetic Programming Classification For Binary And Multiclass Datasets, Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, April 2013.
  56. I. Aljarah, S. A. Ludwig, A MapReduce based Glowworm Swarm Optimization Approach for Multimodal Functions, Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, April 2013.
  57. M. Naseri, S. A. Ludwig, Automatic Service Composition Using POMDP and Provenance Data, Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, April 2013.
  58. I. Aljarah, S. A. Ludwig, Parallel Particle Swarm Optimization Clustering Algorithm based on MapReduce Methodology, Proceeding of Fourth World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Mexico City, Mexico, November 2012.
  59. M. Chen, S. A. Ludwig, Discrete Particle Swarm Optimization With Local Search Strategy for Rule Classification, Proceeding of Fourth World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Mexico City, Mexico, November 2012.
  60. N. Al-Madi, S. A. Ludwig, Adaptive Genetic Programming applied to Classification in Data Mining, Proceeding of Fourth World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Mexico City, Mexico, November 2012.
  61. S. A. Ludwig, Clonal Selection based Genetic Algorithm for Workflow Service Selection, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, June 2012.
  62. M. Chen, S. A. Ludwig, Fuzzy-guided Genetic Algorithm applied to the Web Service Selection Problem, Proceedings of the 2012 IEEE International Conference on Fuzzy Systems, Brisbane, Australia, June 2012.
  63. T. Schoene, S. A. Ludwig, R. Spiteri, Step-Optimized Particle Swarm Optimization, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, June 2012.
  64. S. A. Ludwig, Applying Particle Swarm Optimization to Quality-of-Service-driven Web Service Composition, Proceedings of 26th IEEE International Conference on Advanced Information Networking and Applications (AINA), Fukuoka, Japan, March 2012.
  65. S. A. Ludwig, Single-Objective versus Multi-Objective Genetic Algorithms for Workflow Composition based on Service Level Agreements, Proceedings of IEEE International Conference on Service Oriented Computing & Applications (SOCA 2011), Irvine, California, USA, December 2011.
  66. S. A. Ludwig, Nature-Inspired Reconfiguration of Overlay Networks, Proceedings of Third World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Salamanca, Spain, October 2011.
  67. S. A. Ludwig, T. Schoene, Web Service Selection using Particle Swarm Optimization and Genetic Algorithms, Proceedings of Third World Congress on Nature and Biologically Inspired Computing (IEEE NaBIC), Salamanca, Spain, October 2011.
  68. S. A. Ludwig, Memetic Algorithm for Web Service Selection, Proceedings of 3rd Workshop on Bio-Inspired and Self-Algorithms for Distributed Systems in conjunction with the 8th IEEE International Conference on Autonomic Computing (ICAC) Karlsruhe, Germany, June 2011.
  69. S. A. Ludwig, Prediction of Breast Cancer Biopsy Outcomes Using a Distributed Genetic Programming Approach, Proceedings of 1st ACM International Health Informatics Symposium, Arlington, VA, USA, November 2010.
  70. M. Naseri, S. A. Ludwig, A Multi-Functional Architecture Addressing Workflow and Service Challenges Using Provenance Data, Proceedings of Workshop for Ph.D. Students in Information and Knowledge Management (PIKM) in conjunction with the 19th ACM Conference on Information and Knowledge Management (CIKM), Toronto, Canada, October 2010.
  71. S. A. Ludwig, S. Roos, Prognosis of Breast Cancer using Genetic Programming, Proceedings of 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), Cardiff, Wales, UK, September 2010.
  72. S. A. Ludwig, V. Pulimi, A. Hnativ, Fuzzy Approach for the Evaluation of Trust and Reputation of Services, Proceedings of 2009 IEEE International Conference on Fuzzy Systems (IEEE-FUZZ), Jeju Island, Korea, August 2009.
  73. A. Hnativ, S. A. Ludwig, Evaluation of Trust in an eCommerce Multi-agent System using Fuzzy Reasoning, Proceedings of 2009 IEEE International Conference on Fuzzy Systems (IEEE-FUZZ), Jeju Island, Korea, August 2009.
  74. S. A. Ludwig, C. Thompson, K. Amundson, Performance Analysis of a Deductive Database with a Semantic Web Reasoning Engine: ConceptBase and Racer, Proceedings of 21st International Conference on Software Engineering and Knowledge Engineering (SEKE), Boston, USA, July, 2009.
  75. M. Naseri, S. A. Ludwig, QoS-Aware Service Selection for Abstract Workflows using Provenance Data and Fuzzy Constraint Satisfaction Modeling, Proceedings of 2009 International Conference on Semantic Web and Web Services (SWWS), Las Vegas, USA, July 2009.
  76. A. Moallem, S. A. Ludwig, Artificial Life Techniques for Distributed Grid Job Scheduling, Proceedings of 23rd Annual ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 2009.
  77. T. Guha, S. A. Ludwig, Comparison of Service Selection Algorithms for Grid Services: Multiple Objective Particle Swarm Optimization and Constraint Satisfaction Based Service Selection, Proceedings of 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Dayton, Ohio, USA, November 2008.
  78. S. A. Ludwig, Fuzzy Match Score of Semantic Service Match, Proceedings of 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), Hong Kong, China, June 2008.
  79. S. A. Ludwig, Agent-based Assistant for e-negotiations, Proceedings of 17th International Symposium on Methodologies for Intelligent Systems (ISMIS), Toronto, Canada, May 2008.
  80. N. Chapman, S. A. Ludwig, W. Naylor, O. F. Rana, J. Padget, Matchmaking Support for Dynamic Workflow Composition, Proceedings of International Conference on eScience and Grid Computing, Bangalore, India, December 2007.
  81. S. A. Ludwig, Weight Assignment of Semantic Match using User Values and a Fuzzy Approach, Proceedings of 5th International Conference on Service-Oriented Computing (ICSOC), Vienna, Austria, September 2007.
  82. S. A. Ludwig, O. F. Rana, Comparing Semantic Registries - OWLJessKB and InstanceStore, Proceedings of Workshop on Service-oriented on Service-oriented computing performance: aspects, issues, and approaches (SOCP), Monterey, California, USA, June 2007.
  83. S. A. Ludwig, S.M.S. Reyhani, Selection Algorithm for Grid Services based on a Quality of Service Metric, Proceedings of 21st International Symposium on High Performance Computing Systems and Applications, Saskatoon, Canada, May 2007.
  84. T. Goodale, S. A. Ludwig, W. Naylor, J. Padget, O. F. Rana, Service-Oriented Matchmaking and Brokerage, Proceedings of 5th UK e-Science Programme All Hands Meeting (AHM), Nottingham, UK, September 2006.
  85. S. A. Ludwig, Agent-based Assistant for e-Negotiations: Using Conflict Style and Reservation Values, Proceedings of International Conference on Group Decision and Negotiation (GDN), Karlsruhe, Germany, June 2006.
  86. X. Huang, G. E. Kersten, S. A. Ludwig, Effectiveness of Complex Bargaining Styles in Dyadic Negotiations, Proceedings of International Conference on Group Decision and Negotiation (GDN), Karlsruhe, Germany, June 2006.
  87. S. A. Ludwig, G. E. Kersten, X. Huang, Towards a Behavioural Agent-Based Assistant for e-Negotiations, Proceedings of Montreal Conference on e-Technologies (MCETECH), Montreal, Canada, May 2006.
  88. A. Shaikh Ali, S. A. Ludwig, O. F. Rana, A Cognitive Trust-Based Approach for Web Service Discovery and Selection, Proceedings of 3rd European Conference on Web Services, Vaxjo, Sweden, November 2005.
  89. S. A. Ludwig, S. M. S. Reyhani, Enhanced Discovery of Web Services – Using Semantic Context Descriptions, Proceedings of 2nd International Conference on E-Business and Telecommunication Networks (ICETE), Reading, UK, October 2005.
  90. S. A. Ludwig, W. Naylor, J. Padget, O. F. Rana, Matchmaking Support for Mathematical Web Services, Proceedings of 4th UK e-Science Programme All Hands Meeting (AHM), Nottingham, UK, September 2005.
  91. S. A. Ludwig, O. F. Rana, W. Naylor, J. Padget, Agent-based Matchmaking of Mathematical Web Services, Proceedings of 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Utrecht, Netherlands, July 2005.
  92. S. A. Ludwig, O. F. Rana, W. Naylor, J. Padget, Mathematical matchmaker for numeric and symbolic services, Proceedings of 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), Utrecht, Netherlands, July 2005.
  93. D. Bell, S. A. Ludwig, M. Lycett, State Specialization in a Service Discovery Ontology: A Financial Services Business Grid, Proceedings of 14th International Conference on Intelligent and Adaptive Systems and Software Engineering (IASSE), Toronto, Canada, July 2005.
  94. D. Bell, S. A. Ludwig, Grid Service Discovery in the Financial Markets Sector, Proceedings of 27th International Conference on Information Technology Interfaces (ITI), Cavtat, Croatia, June 2005, (Best Graduate Paper Award).
  95. S. A. Ludwig, L. Raisanen, S. M. S. Reyhani, Investigation of Matchmaking and a Genetic Algorithm for Multilateral and Integrative E-Negotiations, Proceedings of 6th International Conference on Evolutionary Computation, Lisbon, Portugal, June 2005.
  96. S. A. Ludwig, Evaluation of a Semantic Grid Service Discovery Prototype, Proceedings of the 8th World Multiconference on Systemics, Cybernetics and Informatics (SCI), Orlando, USA, July 2004.
  97. S. A. Ludwig, Flexible Semantic Matchmaking Engine, Proceedings of 2nd International Conference on Information and Knowledge Sharing (IKS), Phoenix, AZ, USA, November 2003.
  98. S. A. Ludwig, Comparison of centralized and decentralized Service Discovery in a Grid Environment, Proceedings of 15th International Conference, Parallel and Distributed Computing and Systems (PDCS), Marina del Rey, CA, USA, November 2003.
  99. S. A. Ludwig, P. van Santen, A Grid Service Discovery Matchmaker based on Ontology Description, Proceedings of 2nd International EuroWeb Conference, Oxford, UK, December 2002.

Book chapters

  1. M. F. Kabir, S. A. Ludwig, Analysis of Breast Cancer Risk Factors Data: Association Rule Mining based on Ethnic Groups and Classification using Super Learning, in Applied Smart Health Care Informatics: A Computational Intelligence Perspective, Wiley, 2022.
  2. S. A. Ludwig, S. Picek, D. Jakobovic, Classification of Cancer Data: Analyzing Gene Expression Data using a Fuzzy Decision Tree Algorithm, Operations Research Applications in Health Care Management, I. Topcu and C. Kahraman, eds., vol. 262, Springer, Cham, 2018.
  3. M. Chen, S. A. Ludwig, and K. Li, Clustering analysis in big data, Big Data Management, Architecture, and Processing, K.-C. Li, H. Jiang, and A. Zomaya, eds., Chapman & Hall/CRC Big Data Series, CRC Press, Taylor & Francis Group, pp. 333-385, 2017.
  4. M. Naseri, S. A. Ludwig, Evaluating Workflow Trust using Hidden Markov Modeling and Provenance Data, in Data Provenance and Data Management for eScience, Studies in Computational Intelligence series, Springer, vol. 426, pp. 35-58, Springer, 2013.
  5. S. A. Ludwig, Scalability Analysis: Reconfiguration of Overlay Networks Using Nature-Inspired Algorithms, in Advances in Intelligent Modelling and Simulation: Artificial Intelligence-based Models and Techniques in Scalable Computing, Studies in Computational Intelligence series, vol. 422, pp. 137-154, Springer, 2012.
  6. S. A. Ludwig, T. Schoene, Matchmaking in Multi-attribute Auctions using a Genetic Algorithm and a Particle Swarm Approach, in New Trends in Agent-based Complex Automated Negotiations, Series on Studies of Computational Intelligence, vol. 383, pp. 81-98, Springer, 2012.
  7. S. A. Ludwig, S. M. S. Reyhani, Using Context Information for the Discovery of Web Services, in Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems, vol. 14, pp. 607-634, Springer, 2007.
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