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PUBLICATIONS: Book Chapter • Journals • Conferences • Technical Reports • Workshop Articles

Book Chapter
  1. Dongsheng Che, Qi Liu, Khaled Rasheed and Xiuping Tao, “Decision Tree and Ensemble Learning Algorithms with Their Applications in Bioinformatics”, in Software Tools and Algorithms for Biological Systems, Springer-Verlag, pp. 191 199, 2011.

  2. Liang Shi and Khaled Rasheed, "A Survey of Fitness Approximation Methods Applied in Evolutionary Algorithms", in Computational Intelligence in Expensive Optimization Problems, Springer-Verlag, 2010.

  3. Khaled Rasheed, Xiao Ni and Swaroop Vattam. "Methods for Using Reduced Models to Speed Up Genetic Algorithm Optimization: Informed Operators and Genetic Engineering", in KNOWLEDGE INCORPORATION IN EVOLUTIONARY COMPUTATION, Springer-Verlag, 2003.


Journals
  1. Akram Farhadi, Joshua J. Chern, Daniel Hirsh, Tod Davis, Mingyoung Jo, Frederick Maier, and Khaled Rasheed, "Intracranial Pressure (ICP) Forecasting in Children Using Dynamic Averaging of Time Series Data", in Forecasting, Vol. 1, pp. 47 58, 2018.

  2. Mohammad Mohebbi, Liang Ding, Russell Malmberg, Cory Momany, Khaled Rasheed, and Liming Cai, "ACCURATE PREDICTION OF HUMAN MIRNA TARGETS VIA GRAPH MODELING OF MIRNA-TARGET DUPLEX". To appear in Journal of Bioinformatics and Computational Biology, accepted 2018.

  3. Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A Miller, Khaled Rasheed, Krys Kochut, William York, Rene Ranzinger, Melody Porterfield, Hao Peng, "Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model" in Information Sciences, Vol: 425, pp. 62 75, 2018.

  4. Daniel McSkimming, Khaled Rasheed, and Natarajan Kannan, "Classifying kinase conformations using a machine learning approach", in BMC Bioinformatics; 18(86), doi:10.1186/s12859-017-1506-2, 2017.

  5. Amna Basharat, Khaled Rasheed and I. Budak Arpinar, “A Conceptual Framework For Linked Open Islamic Knowledge”, The International Journal on Islamic Applications in Computer Science and Technology (IJASAT), 4(2), pp. 16 25, 2016.

  6. ManChon U, Eric Talevich, Samiksha Katiyar, Khaled Rasheed, and Natarajan Kannan, “Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers”, in PLOS Computational Biology, 10(4): e1003545. doi:10.1371/journal.pcbi.1003545, 2014.

  7. Rahila Umer, Sohrab Khan, Aftab Ahmed, Khaled Rasheed and Tianming Liu, “Prediction of Possible conversion from MCI to AD using Machine learning”, in the International Journal of Basic and Applied Sciences, 1(2), pp. 100-108, 2012.

  8. Dongsheng Che, C. Hockenbury, R. Marmelsteinand, and Khaled Rasheed. “Classification of genomic islands using decision trees and their ensemble algorithms”, BMC Genomics, 11(suppl 2):S1, 2010.

  9. Bo Qian and Khaled Rasheed, "Foreign Exchange Market Prediction with Multiple Classifiers", Journal of Forecasting, 29(3), pp. 271 – 284, 2010.

  10. Hamid R. Arabnia, Junfeng Qu, Yinglei Song, Khaled Rasheed, and Byron Jeff, "Clustering Time Series Online in a Transformed Space", to appear in The Ubiquitous Computing and Communication Journal (UBICC; http://www.ubicc.org), Vol. 3, 7 pages, 2008.

  11. Jaymin Kessler, Khaled Rasheed and Budak Arpinar, "Using Genetic Algorithms to Reorganize Superpeer Structure in Peer to Peer Networks", Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks and Complex Problem-Solving Technologies, 26(1), pp. 35 – 52, 2007.

  12. Bo Qian and Khaled Rasheed, "Stock Market Prediction with Multiple Classifiers", Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks and Complex Problem-Solving Technologies, 26(1), pp. 25 – 33, 2007.

  13. Deepti Chafekar, Liang Shi, Khaled Rasheed and Jiang Xuan, "Constrained Multi-objective GA Optimization Using Reduced Models", IEEE Transactions on Systems, Man and Cybernetics, 35(2), pp. 261 – 265, 2005.

  14. Khaled Rasheed, Xiao Ni and Swaroop Vattam, "Comparison of Methods for Developing Dynamic Reduced Models for Design Optimization", The Soft Computing Journal, (online) 2003, (in print) 9(1), pp. 29 – 37, 2005.

  15. Jack Smith, Doyle Knight, Joachim Kohn, Khaled Rasheed and Norbert Weber, "Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer Surfaces", Journal of Chemical Information and Computer Sciences, 44:1088—1097, 2004.

  16. L. Wu, W.D. Potter, K. Rasheed, J. Ghent, D. Twardus, H. Thistle and M. Teske, " Nature Inspired Heuristics in Aerial Spray Deposition Management", The Journal of Applied Systems Studies, 4(2), 2003.

  17. Anil Bahuman, Khaled Rasheed, and Benjamin Bishop, "Evolutionary Design Automation of VLSI Standard Cells", The Journal of Applied Systems Studies, 4(2), 2003.

  18. Khaled Rasheed and Haym Hirsh, "Learning to be Selective in Genetic-Algorithm-Based Design Optimization", Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 13:157-169, 1999.

  19. Michael Blaize, Doyle Knight, and Khaled Rasheed, "Automated Optimal Design of Two Dimensional Supersonic Missile Inlets", The Journal of Propulsion and Power, 14(6): 890-898, 1998.

  20. Khaled Rasheed, Haym Hirsh and Andrew Gelsey, "A Genetic Algorithm for Continuous Design Space Search", Artificial Intelligence in Engineering, 11(3):295-305, 1997.

  21. G.-C. Zha, D. Smith, M. Schwabacker, K. Rasheed, A. Gelsey, D. Knight and Martin Hass, "High Performance Supersonic Missile Inlet Design Using Automated Optimization", Journal of Aircraft, 34(6):697-705, 1997.

  22. A. Gelsey, D. Smith, M. Schwabacker, K. Rasheed, and K. Miyake, "A Search Space Toolkit", Decision Support Systems, 18:341-356, 1996.


Conferences
  1. Omar Alobaid, Lakshmish Ramaswamy and Khaled Rasheed, "A Machine Learning Approach for Identifying Soccer Moves Using an Accelerometer Sensor". Proceedings of the International Symposium on Artificial Intelligence (CSCI'18-ISAI), 2018.

  2. Delaram Yazdansepas, Nitin Saroha, Lakshmish Ramaswamy, and Khaled Rasheed, "Towards Efficient & Real-time Human Activity Recognition using Wearable Sensors: A Shapelet-based Pattern Matching Approach". In Proceedings of the 13th EAI International Conference on Body Area Networks (BODYNETS'2018), 2018.

  3. Ewan Wright, Qiang Hao, Khaled Rasheed and Yan Liu, "Feature Selection of Post-Graduation Income of College Students in the United States". Proceedings of the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS'18), pp. 38 45, 2018.

  4. Liang Wang and Khaled Rasheed, "Stock Ranking with Market Microstructure, Technical Indicators and News". Proceedings of the 2018 Int'l. Conf. on Artificial Intelligence (ICAI'18)', pp. 322 328, 2018. (Acceptance rate: 21%)

  5. Omar Alobaid and Khaled Rasheed, "Prayer Activity Recognition Using an Accelerometer Sensor". In Proceedings of the 2018 Int'l. Conf. on Artificial Intelligence (ICAI'18)', pp. 271 277, 2018. (Acceptance rate: 21%)

  6. Pan Huang, Amna Basharat, Usmnan Nisar and Khaled Rasheed, "Interlinking Hadith Based on Multilingual Text Similarity Analysis". In Proceedings of the 2018 Int'l. Conf. on Artificial Intelligence (ICAI'18)', pp. 377 383, 2018. (Acceptance rate: 21%)

  7. Akram Farhadi, Joshua J. Chern, Daniel Hirsh, Tod Davis, Joe Ming, Jennifer L. Wheelus, Frederick Maier, and Khaled Rasheed, "Predicting Intracranial Pressure (ICP) in Children Using Regression". To appear in Proceedings of the Southern Data Science Conference (SDSC'18), 2018.

  8. William Sanders, Chris Barrick, Frederick Maier and Khaled Rasheed, "Solar Radiation Prediction Improvement Using Weather Forecasts". In Proceedings of the 16th IEEE International Conference On Machine Learning And Applications (ICMLA'17), 2017.

  9. Anzah Niazi, Delaram Yazdansepas, Jennifer Gay, Frederick Maier, Lakshmish Ramaswamy, Khaled Rasheed and Matthew Buman, “Statistical Analysis of Window Sizes And Sampling Rates in Human Activity Recognition”. To appear in Proceedings of the International Conference on Health Informatics (HEALTHINF’17), 2017.

  10. Mohammad Mohebbi, Liang Ding, Russell L. Malmberg, Cory Momany, Khaled Rasheed and Liming Cai, “Accurate Prediction of Human miRNA Targets via Graph Modeling of miRNA-Target Duplex”. In Proceedings of 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences, (ICCABS’16), 2016.

  11. Anzah Niazi, Delaram Yazdansepas, Jennifer Gay, Frederick Maier, Lakshmish Ramaswamy, Khaled Rasheed and Matthew Buman, “A Hierarchical Meta-Classifier for Human Activity Recognition”. Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA’ 2016), 2016.

  12. Amna Basharat, Khaled Rasheed and I. Budak Arpinar, “Harnessing Crowds and Experts for Semantic Annotation of the Qur’an”. Poster session of the 15th International Semantic Web Conference (ISWC 2016), 2016. (Poster).

  13. Delaram Yazdansepas, Anzah Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, and Matthew P. Buman, “A Multi-Featured Approach for Wearable Sensor-based Human Activity Recognition”. Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI’ 2016), pp. 423 431, 2016.

  14. Pan Huang, Amna Basharat and Khaled Rasheed, “Analysis of the Effect of Distance Metric Across Languages on Verse Similarity in The Qur'An”, in Proceedings of the 2016 Int’l. Conf. on Artificial Intelligence (ICAI’2016)’, pp. 144 150, 2016. (Acceptance rate: 24%)

  15. Haosha Wang. Khaled Rasheed. And Joshua De Han, “Style-Me, An Experimental AI Fashion Stylist”, in Proceedings of the 29th International Conference on Industrial Engineering & Other Applications of Applied Intelligent Systems, (IEA/AIE 2016), pp. 553 561, 2016.

  16. Amna Basharat, Budak Arpinar, and Khaled Rasheed, “Leveraging Crowdsourcing for the Thematic Annotation of the Qur’an”. Poster session of the 25th International World Wide Web Conference, pp. 13 14, 2016. (Poster Acceptance Rate: 40%)

  17. Cameron Hamilton, Shervin Shahriari and Khaled Rasheed, “Eye State Prediction from EEG Data Using Boosted Rotational Forests”, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2015), 2015. (Poster)

  18. Amna Basharat, Khaled Rasheed and Budak Arpinar, “Towards Linked Open Islamic Knowledge using Human Computation and Crowdsourcing”, in Proceedings of the third Int’l. Conf. on Islamic Application in Computer Science and Technologies (IMAN’2015)’, 2015.

  19. Amna Basharat, Delaram Yasdansepas and Khaled Rasheed, “Comparative Study of Verse Similarity for Multi-lingual Representations of the Qur'an”, in Proceedings of the 2015 Int’l. Conf. on Artificial Intelligence (ICAI’2015)’, pp. 336 342, 2015. (Acceptance rate: 27%)

  20. Aardra Ambili and Khaled Rasheed, “Automated scoring of Levels of Integrative Complexity using Machine Learning and Natural Language Processing”, in Proceedings of the 2015 Int’l. Conf. on Artificial Intelligence (ICAI’2015)’, pp. 323 327, 2015. (Acceptance rate: 27%)

  21. Aardra Ambili and Khaled Rasheed, “Automated scoring of the Level of Integrative Complexity from Text using Machine Learning”, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2014), pp. 300 305, 2014.

  22. Haosha Wang and Khaled Rasheed, “Artificial Intelligence in Clothing Fashion”, in Proceedings of the 2014 Int’l. Conf. on Artificial Intelligence (ICAI’2014)’, pp. 484 490, 2014. (Acceptance rate: 29%)

  23. Shu Zhang, Roi Ceren and Khaled Rasheed, “Evolmusic: A Prefernce Learning Accompanist”, in Proceedings of the 2014 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2014)’, pp. 34 40, 2014. . (Acceptance rate: 29%)

  24. Shu Zhang, C. Thomas Bailey and Khaled Rasheed, "Evac: An Evolutionary Accompanist", in Proceedings of the 2013 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2013), pp. 69 75, 2013. (Acceptance rate: 31%)

  25. Xuewei Qi, Khaled Rasheed, Ke Li and W. Don Potter, "A Fast Parameter Setting Strategy for Particle Swarm Optimization and Its Application in Urban Water Distribution Network Optimal Design", in Proceedings of the 2013 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2013), pp. 53 59, 2013. (Acceptance rate: 31%)

  26. Tomasz Oliwa and Khaled Rasheed, "An Overlapping Variable Linkage Benchmark Suite", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2013 Companion), pp. 127-128, 2013. (Poster)

  27. Ganesh Bonde and Khaled Rasheed, “Extracting the Best Features for Predicting Stock Prices Using Machine Learning”, in Proceedings of the 2012 Int’l. Conf. on Artificial Intelligence (ICAI’2012), pp. 222 229, 2012. (Acceptance rate: 28%)

  28. Ganesh Bonde and Khaled Rasheed, “Stock Price Prediction Using Genetic Algorithms and Evolution Strategies”, in Proceedings of the 2012 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2012), pp. 10 15, 2012. (Acceptance rate: 29%)

  29. Tomasz Oliwa and Khaled Rasheed, "A Surrogate-assisted and Informed Linkage Aware Genetic Algorithms", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2012 Companion), pp. 1467-1468, 2012. (Poster)

  30. Tomasz Oliwa and Khaled Rasheed, "A Surrogate-assisted Linkage Inference Approach in Genetic Algorithms", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2011),pp. 997-1004, 2011. (Acceptance rate: 38%)

  31. ManChon U, Chiahsun Ho Shelby Funk and Khaled Rasheed, " GART: A Genetic Algorithm based Real Time System Scheduler", in Proceedings of the IEEE Congress on Evolutionary Computation (CEC’ 2011), pp. 886-893, 2011.

  32. Muthukumaran Chandrasekaran, Karthik Nadig and Khaled Rasheed, “Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot”, in Proceedings of the Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), pp. 347-356, 2011. [second best paper award]

  33. Boseon Byeon and Khaled Rasheed, “Bayesian Networks and Genetic Algorithms for Promoter Recognition”, in Proceedings of the IASTED International Conference on Computational Bioscience (Compbio 2010), pp. 593 598, 2010.

  34. Boseon Byeon and Khaled Rasheed, “Selection of Classifier and Feature Selection Method for Microarray Data”, in Proceedings of the Ninth International Conference on Machine Learning and Applications (ICMLA 2010), pp. 534 539, 2010. (Acceptance rate: 44%)

  35. ManChon U, and Khaled Rasheed, "A Relative Tendency Based Stock Market Prediction System", in Proceedings of the Ninth International Conference on Machine Learning and Applications (ICMLA 2010), pp. 949 953, 2010. (Short paper)

  36. ManChon U, Vasim Mahamuda, and Khaled Rasheed, "On the Scalability of Supervised Learners in Metagenomics", in Proceedings of the Ninth International Conference on Machine Learning and Applications (ICMLA 2010), pp. 803 807, 2010. (Short paper)

  37. Vasim Mahamuda, ManChon U and Khaled Rasheed, "Application of Machine Learning Algorithms for Binning Metagenomic Data", to appear in Proceedings of The International Conference on Bioinformatics and Computational Biology (BIOCOMP'2010), pp. 68 – 74, 2010.

  38. Tomasz Oliwa and Khaled Rasheed, "A Machine Learning Approach for Sensitivity Inference in Genetic Algorithms", in Proceedings of the 2010 Int'l. Conf. on Genetic and Evolutionary Methods (GEM'2010), pp. 36 – 41, 2010. (Acceptance rate: 29%)

  39. Boseon Byeon and Khaled Rasheed, "Using Genetic Algorithms for Simultaneous Noise Removal and Feature Selection in Classification and Regression Problems", in Proceedings of the Int'l Conf. on Artificial Intelligence (ICAI'09), pp. 304 – 310, 2009. (Acceptance rate: 28%)

  40. Dongsheng Che, Cory Hockenbury, Robert Marmelstein and Khaled Rasheed, "Classification of Genomic Islands Using Decision-tree Based Algorithms", in Proceedings of The International Conference on Bioinformatics and Computational Biology (BIOCOMP'09), pp. 252 – 258, 2009. (Acceptance rate: 27%)

  41. Osama Al-Haj Hassan, Lakshmish Ramazwamy, John Miller, Khaled Rasheed, E. Rodney Canfield; "Replication in Overlay Networks: A Multi-objective Optimization Approach", in Proceedings of the International Conference on Collaborative Computing: Networking, Applications and Work-sharing, Florida, USA, 2008.

  42. Cesar Koirala and Khaled Rasheed, "Comparison of the Effects of Morphological and Ontological Information on Text Categorization", in Proceedings of the Seventh International Conference on Machine Learning and Applications (ICMLA'08), pp. 783 – 786, 2008. (Poster)

  43. Boseon Byeon and Khaled Rasheed, "Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data", in Proceedings of the Seventh International Conference on Machine Learning and Applications (ICMLA'08), pp. 147 – 152, 2008. (Acceptance rate: 50%)

  44. Liang Shi and Khaled Rasheed, "ASAGA: An Adaptive Surrogate-Assisted Genetic Algorithm", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2008), pp. 1049 – 1056, 2008. (Acceptance rate: 42%)

  45. Glenn F. Matthews and Khaled Rasheed, "Temporal Difference Learning for Nondeterministic Board Games", in Proceedings of the Int'l Conf. on Artificial Intelligence (ICAI'08) and Proceedings of the Int'l Conf. on Machine Learning; Models, Technologies and Applications (MLMTA'08), USA, pp. 800 – 806, 2008. (Acceptance rate: 27%)

  46. David Luper, Muthukumaran Chandrasekaran, Khaled Rasheed, and Hamid Arabnia, "Path Normalcy Analysis Using Nearest Neighbor Outlier Detection", in Proceedings of the Int'l Conf. on Artificial Intelligence (ICAI'08) and Proceedings of the Int'l Conf. on Machine Learning; Models, Technologies and Applications (MLMTA'08), USA, pp. 776 – 783, 2008. (Acceptance rate: 27%)

  47. Boseon Byeon, Khaled Rasheed, and Prashant Doshi "Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection", in Proceedings of the Int'l Conf. on Artificial Intelligence (ICAI'08) and Proceedings of the Int'l Conf. on Machine Learning; Models, Technologies and Applications (MLMTA'08), USA, pp. 821 – 827, 2008. (Acceptance rate: 27%)

  48. Junfeng Qu, Hamid R. Arabnia, Yinglei Song, Khaled Rasheed, and Jack E. Houston, "Time Series Similarity Matching with a New Distance Measure", in Proceedings of 2007 Int'l. Conf. on Information and Knowledge Engineering (IKE'07), USA, ISBN #: 1-60132-050-7, pp. 183 – 189, 2007. (Acceptance rate: 30%)

  49. Chongshan Zhang and Kahled Rasheed, "Improving GA Performance Using Relative Fitness", in Proceedings of the 2007 Int'l. Conf. on Genetic and Evolutionary Methods (GEM'07), USA, pp. 31 – 37, 2007. (Acceptance rate: 27%)

  50. Sergey Fogelson, Khaled Rasheed, Xiangxue Guo, and Jan Mrazek, "Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes", in Proceedings of the Int'l Conf. on Machine Learning; Models, Technologies and Applications (MLMTA'07), USA, pp. 85 – 89, 2007. (Acceptance rate: 32%)

  51. Chongshan Zhang and Khaled Rasheed, "Improving GA Search Reliability Using Maximal Hyper-Rectangle Analysis", in The Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1185 – 1192, 2005. (Acceptance rate: 46.1%) [nominated for a best paper award]

  52. Dongsheng Chi, Yinglei Song and Khaled Rasheed, "MDGA: Motif Discovery Using a Genetic Algorithm", in The Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 447 – 452, 2005. (Acceptance rate: 46.1%)

  53. Bo Qian and Khaled Rasheed, "Hurst Exponent and Financial Market Predictability", in the IASTED Conference on Financial Engineering and Applications (FEA 2004), pp. 203 – 209, November, 2004.

  54. Jack Smith, Doyle Knight, Joachim Kohn, Norbert Weber, Khaled Rasheed, Sascha Abramson, "Molecular-Scale Properties of Biomaterials Relevant to Protein Adsorption and Cell Growth Using Data Mining of Combinatorial Libraries of Polymers", in The 7th World Biomaterials Congress, 2004.

  55. Doyle Knight, Jack Smith, Norbert Weber, Joachim Kohn, Khaled Rasheed, "Prediction of Fibrinogen Adsorption on Polymer Surfaces Using and Artificial Neural Network", in The 7th World Biomaterials Congress, 2004 (poster).

  56. Ramyaa, Congzhou He,and Khaled Rasheed, "Using Machine Learning Techniques for Stylometry", to appear in International Conference on Machine Learning; Models, Technologies and Applications (MLMTA'2004), pp. 897-903, 2004.

  57. Ning Suo, Khaled Rasheed, Don Potter and Dennis Aron, "Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures", in International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS '04), pp. 378 – 384, 2004.

  58. Jack Smith, Doyle Knight, Joachim Kohn, Khaled Rasheed, Norbert Weber and Sascha Abramson, "Using Non-Linear Regression to Predict Bioresponse in a combinatorial Library of Biodegradable Polymers", Proceedings of the Material Research Society Fall Meeting 2003, Vol. 804, Paper No. JJ5.7, 2003.

  59. Jacob Martin and Khaled Rasheed, "Using Singular Value Decomposition to Improve a Genetic Algorithm's Performance", The Congress on Evolutionary Computation (CEC'2003), pp. 1612-1617, 2003.

  60. Deepti Chafekar, Jiang Xuan and Khaled Rasheed, "Constrained Multi-objective Optimization Using Steady State Genetic Algorithms", The Genetic and Evolutionary Computation Conference (GECCO'2003), pp. 813-824, 2003 (Acceptance rate 46.5%).

  61. D. Knight, G. Elliot, Y. Jaluria, N. Langrana and K. Rasheed, "Automated Optimal Design Using Concurrent Intagrated Experiment and Simulation", in AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA Paper No. 2002-5636, 2002.

  62. Khaled Rasheed, Swaroop Vattam and Xiao Ni, "Comparison of Methods for Using Reduced Models to Speed Up Design Optimization," The Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1180-1187, 2002. (Acceptance rate 49.6%)

  63. L. Wu, W.D. Potter, K. Rasheed, J. Ghent, D. Twardus, H. Thistle and M. Teske, "A Comparison of Genetic Algorithm Methods in Aerial Spray Deposition Management," The Genetic and Evolutionary Computation Conference (GECCO'2002), p. 1274 (poster), 2002.

  64. Anil Bahuman, Benjamin Bishop and Khaled Rasheed, "Automated Standard Cell Synthesis Using Genetic Algorithms," The IEEE Computer Society Annual Symposium on VLSI, pp. 141-150, 2002.

  65. L. Wu, W.D. Potter, K. Rasheed, J. Ghent, D. Twardus, H. Thistle and M. Teske, "Improving the Genetic Algorithm Performance in Aerial Spray Deposition Management," The IEEE Southeast Conference, pp. 306-311, 2002.

  66. Khaled Rasheed, Xiao Ni and Swaroop Vattam, "Comparison of Methods for Developing Dynamic Reduced Models for Design Optimization," The Congress on Evolutionary Computation (CEC'2002), pp. 390-395, 2002.

  67. Anil Bahuman, Khaled Rasheed and Benjamin Bishop, "An Evolutionary Approach for VLSI Standard Cell Design," The Congress on Evolutionary Computation (CEC'2002), pp. 431-436, 2002.

  68. Benjamin Bishop, Khaled Rasheed, and Anil Bahuman, "VLSI Standard Cell Design Using Genetic Algorithms", The 39th Annual ACM Southeast Conference, pp. 44-45, 2001.

  69. Gerald Carrier, Doyle Knight, Khaled Rasheed, and Xavier Montazel, "Multi-criteria Design Optimization of a Two dimensional Supersonic Inlet", The 39th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper No. 2001-1064, 2001.

  70. Khaled Rasheed and Haym Hirsh, "Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models", Genetic and Evolutionary Computation Conference (GECCO'2000), pp. 628-635, 2000. (Acceptance rate 47.3%)

  71. Khaled Rasheed, "An Incremental-Approximate-Clustering Approach for Developing Dynamic Reduced Models for Design Optimization", Congress on Evolutionary Computation (CEC'2000), pp. 986-993, 2000.

  72. Louis Steinberg and Khaled Rasheed, "Optimization by Searching a Tree of Populations", Genetic and Evolutionary Computation Conference (GECCOC'99),, pp. 1723-1730, 1999. (Acceptance rate 53.4%)

  73. Khaled Rasheed and Brian Davison, "Effect of Global Parallelism on the Behavior of a Steady State Genetic Algorithm for Design Optimization", Congress on Evolutionary Computation (CEC'99), pp. 534-541, 1999.

  74. Khaled Rasheed, "Guided Crossover: A New Operator for Genetic-Algorithm-Based Optimization", Congress on Evolutionary Computation (CEC'99), pp. 1535-1541, 1999.

  75. Christophe Bourdeau, Gerald Carrier, Doyle Knight and Khaled Rasheed, "Three-dimensional Optimization of Supersonic Inlets", The 35th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, AIAA Paper No. 99-2108, 1999.

  76. Khaled Rasheed, "An Adaptive Penalty Approach for Constrained Genetic Algorithm Optimization", The Third Annual Conference on Genetic Programming (GP-98)/Symposium on Genetic Algorithms (SGA-98), pp. 584-590, 1998.

  77. Khaled Rasheed, "Improving Genetic Algorithm Convergence Using Guided Crossover", The Third Annual Conference on Genetic Programming (GP-98)/Symposium on Genetic Algorithms (SGA-98), p. 591 (poster), 1998.

  78. Michael Blaize, Doyle Knight, and Khaled Rasheed, "Automated Optimal Design of Two Dimensional High Speed Missile Inlets", The 36th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper No. 98-0950, 1998.

  79. B. Chernyavshy, V. Stepanov, K. Rasheed, M. Blaize and D. Knight, "3-D Hypersonic Inlet Optimization Using Genetic Algorithms", The 34th AIAA/ASME/ASEE Joint Propulsion Conference, AIAA Paper No. 98-3582, 1998.

  80. Michael Blaize, Doyle Knight, Khaled Rasheed, and Yan Kergaravant, "Optimal Missile Inlet Design by Means of Automated Numerical Optimization", The NATO RTO/AVT Symposium on Missile Aerodynamics, pp. 371.37.9 1998.

  81. Khaled Rasheed and Haym Hirsh, "Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization", The Seventh International Conference on Genetic Algorithms (ICGA'97), pp 513-520, 1997. (Acceptance rate 49%)

  82. G.-C. Zha, D. Smith, M. Schwabacker, K. Rasheed, A. Gelsey, and D. Knight, "High Performance Supersonic Missile Inlet Design Using Automated Optimization", AIAA Symposium on Multidisciplinary Analysis and Optimization, AIAA Paper No. 96-4142, 1996.


Technical Reports
  1. Khaled Rasheed, "GADO: A Genetic Algorithm for Continuous Design Optimization", Technical Report DCS-TR-352, Department of Computer Science, Rutgers University, New Brunswick, NJ, 1998. Ph.D. Thesis.

  2. Khaled Rasheed and Haym Hirsh, "Guided Crossover: A New Operator for Genetic-Algorithm-Based Optimization", Technical Report HPCD-TR-50, Department of Computer Science, Rutgers University, New Brunswick, NJ, 1997.


Workshop Articles
  1. Amna Basharat, Bushra Abro, Budak Arpinar, and Khaled Rasheed, “Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge”. Linked Data on the Web workshop of the 25th International World Wide Web Conference, 2016.

  2. Anirban Mukhopadhyay, Chul Woo Lim, Suchendra Bhandarkar, Hanbo Chen, Tianming Liu, Khaled Rasheed and Thiab Taha. "Analysis Of Surface Folding Patterns Of DICCCOLS Using The Geodesic Field Estimate", The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’2013) Workshop on Mesh Processing in Medical Image Analysis, 2013.

  3. Jiang Xuan, Deepti Chafekar and Khaled Rasheed, "Constrained Multi-objective GA Optimization Using Reduced Models", The Genetic and Evolutionary Computation Conference (GECCO'2003) workshop on learning and adaptation in evolutionary computation, July 2003.

  4. Khaled Rasheed, Swaroop Vattam and Xiao Ni, "Comparison of Methods for Using Reduced Models to Speed Up Design Optimization", in The Genetic and Evolutionary Computation Conference (GECCO'2002) workshop on approximation and learning in evolutionary computation, 2002.

  5. Brian Davison and Khaled Rasheed, "Effect of Global Parallelism on a Steady State Genetic Algorithm", Evolutionary Computing and Parallel Processing workshop at the Genetic and Evolutionary Computation Conference, (GECCO'99), 1999.

  6. Khaled Rasheed and Andrew Gelsey, "Adaptation of Genetic Algorithms for Engineering Design Optimization", Artificial Intelligence in Design (AID'96), Workshop on Evolutionary Systems in Design, 1996.

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ECML Lab • Department of Computer Science • The University of Georgia • Athens, GA 30602, USA