ECML Lab - Evolution Computation and Machine Learning Lab

Book Chapters

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.

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.

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.

Journal Publications

Christopher D Whitmire, Jonathan M Vance, Hend K Rasheed, Ali Missaoui, Khaled M Rasheed, Frederick W Maier, “Using Machine Learning and Feature Selection for Alfalfa Yield Prediction”, AI 2.1, PP 71-88, 2021.

Soheyla Amirian, Khaled Rasheed, Thiab Taha and Hamid Arabnia, “Automatic Image and Video Caption Generation with Deep Learning: A Concise Review and Algorithmic Overlap”, IEEE Access, 2020.

Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan, “Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction”, in BMC Bioinformatics. 21(1): 520, 2020.

Rahil Taujale, Aarya Venkat, Liang-Chin Huang, Zhongliang Zhang, Wayland Yeung, Khaled Rasheed, Sheng Li, Arthur S. Edison, Kelley W. Moremen, Natarajan Kannan. Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases. eLife, Vol.9, e54532, 2020.

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, 2019.

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”, in Journal of Bioinformatics and Computational Biology, 18(86), doi: 10.1142/S0219720018500130, 2018.

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, doi:10.1016/j.ins.2017.10.014, 2018.

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.

Amna Basharat, Khaled Rasheed and I. Budak Arpinar, “A Conceptual Framework For Linked Open Islamic Knowledge”, to appear in the International Journal on Islamic Applications in Computer Science and Technology (IJASAT).

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.

< li>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.

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

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.

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.

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.

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.

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.

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.

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.

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

Submitted Journal Publications

Whitmire, C., Rasheed, H., Missaoui, A., Rasheed, K., & Maier, F. (2019). Using machine learning and feature selection for alfalfa yield prediction. Applications in Plant Sciences, (Special Issue on Machine Learning in Plant Biology)

Amna Basharat, Budak Arpinar and Khaled Rasheed, “Human Computation and Crowdsourcing meet the Semantic Web”. Submitted under review to IOS Semantic Web Journal, 2015.

Conference Publications

Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, and Hamid R. Arabnia. “Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning”. The International Conference on Artificial Intilligence (ICAI’20), 2020.

Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, and Hamid R. Arabnia. “A Brief Review of Domain Adaptation”. The International Conference on Information & Knowledge Engineering (IKE’20), 2020.

Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed, and Hamid R. Arabnia. “A Concise Review of Transfer Learning”. To appear in the International Conference on Computational Science and Computational Intelligence (CSCI’20), 2020.

Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia, and Khaled Rasheed, “A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings”. In Proceedings of The 6th International Conference on Health Informatics & Medical Systems (HIMS'20), 2020.

S Amirian, K Rasheed, TR Taha, and HR Arabnia, “Image Captioning with Generative Adversarial Network”, In Proceedings of the International Conference on Computational Science and Computational Intelligence (CSCI), 2019.

S Amirian, K Rasheed, TR Taha, and HR Arabnia, “A Short Review on Image Caption Generation with Deep Learning”. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’19), 2019.

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

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.

Ewan Wright, Qiang Hao, Khaled Rasheed and Yan Liu, “Feature Selection of Post- Graduation Income of College Students in the United States”. To appear in 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.

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

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%)

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%)

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.

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.

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”. In Proceedings of the International Conference on Health Informatics (HEALTHINF’17), 2017.

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.

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.

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).

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.

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%)

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

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

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)

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.

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%)

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%)

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.

Haosha Wang and Khaled Rasheed, "Artificial Intelligence in Clothing Fashion", To appear in Proceedings of The 2014 Int’l. Conf. on Artificial Intelligence (ICAI’2014), 2014. (Accepted; Acceptance Rate:27%)

Shu Zhang, Roi Ceren and Khaled Rasheed, "Evolmusic - A Preference Learning Accompanist", To appear in Proceedings of The 2014 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2014), 2014. (Accepted)

Shu Zhang, C. Thomas Bailey and Khaled Rasheed, " Evac: An Evolutionary Accompanist", To appear in Proceedings of 2013. the 2013 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2013), 2013 .

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", To appear in Proceedings of the 2013 Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2013), 2013.

Tomasz Oliwa and Khaled Rasheed, " An Overlapping Variable Linkage Benchmark Suite", to appear in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’2013), 2013. (Poster)

Roberto Perdisci and ManChon U; "VAMO: Towards a Fully Automated Malware Clustering Validity Analysis", The 28th Annual Computer Security Applications Conference (ACSAC 2012), pp. 329 - 338, 2012. (Acceptance Rate: 19%)

Ganesh Bonde and Khaled Rasheed; "Extracting the Best Features for Predicting Stock Prices Using Machine Learning", Int’l. Conf. on Artificial Intelligence (ICAI’2012), pp. 222 – 229, 2012. (Acceptance Rate: 28%)

Ganesh Bonde and Khaled Rasheed; "Stock Price Prediction Using Genetic Algorithms and Evolution Strategies", Int’l. Conf. on Genetic and Evolutionary Methods (GEM’2012), pp. 10 – 15, 2012. (Acceptance Rate: 29%)

Tomasz Oliwa, Khaled Rasheed; "A Surrogate-Assisted and Informed Linkage Aware GA", Genetic and Evolutionary Computation Conference 2012 (GECCO 2012), ACM, Philadelphia, USA, 2012. (Accepted)

Tomasz Oliwa, Khaled Rasheed; "A Surrogate-Assisted Linkage Inference Approach in Genetic Algorithms", Genetic and Evolutionary Computation Conference 2011 (GECCO 2011), ACM, Dublin, Ireland, 2011. (Accepted)

ManChon U, Chiahsun Ho, Shelby Funk and Khaled Rasheed; "GART: A Genetic Algorithm based Real Time System Scheduler", 2011 IEEE Congress on Evolutionary Computation (IEEE CEC 2011), New Orleans, LA, USA, June, 2011.(Accepted)

Muthukumaran Chandrasekaran, Karthik Nadig and Khaled Rasheed, "Evolving Efficient Sensor Arrangement and Obstacle Avoidance Control Logic for a Miniature Robot", The Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), Syracuse, NY, June, 2011. (Accepted)

ManChon U, Zhen Li, "Public Goods Game Simulator with Reinforcement Learning Agents", The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp. 43 - 49, 2010.

ManChon U, Khaled Rasheed, "A Relative Tendency Based Stock Market Prediction System", The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp. 949 - 953, 2010.

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

Boseon Byeon and Khaled Rasheed, "Selection of Classifier and Feature Selection Method for Microarray Data", The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), IEEE, pp. 534 – 539, 2010.

Vasim Mahamuda, ManChon U and Khaled Rasheed, "Application of Machine Learning Algorithms for Binning Metagenomic Data", in Proceedings of The International Conference on Bioinformatics and Computational Biology (BIOCOMP'2010), pp. 68 – 74, 2010. (Acceptance rate: 27%)

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%)

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%)

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%)

Tomasz Oliwa; "Genetic Algorithms and the abc Music Notation Language for Rock Music Composition", in Proceedings of ACM Genetic and Evolutionary Computation Conference 2008 (GECCO 2008), pp.:1603-1610, New York, USA, 2008.

Tomasz Oliwa and Markus Wagner; "Composing Music with Neural Networks and Probabilistic Finite-State Machines", in Proceedings of the Sixth European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2008), pp.:503-508, Springer Berlin / Heidelberg, Springer, 2008.

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.

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)

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%)

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%)

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%)

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%)

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%)

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%)

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%)

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%)

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]

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%)

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.

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.

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).

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.

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.

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.

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.

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%).

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.

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%)

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.

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.

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.

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.

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.

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

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.

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%)

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.

Workshop Articles

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", to appear in The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’2013) Workshop on Mesh Processing in Medical Image Analysis, 2013

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.

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.

Publication

Book Chapters

Journal Publications

Submitted Journal Publications

Conference Publications

Workshop Articles

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