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Bill Buckles

Title: Modified Service Retiree

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Alabama, Huntsville, 1981
    Major: Industrial & Systems Engineering
    Specialization: Operations Research
  • MS, University of Alabama, Huntsville, 1980
    Major: Computer Science
  • MS, University of Alabama, Huntsville, 1977
    Major: Operations Research
  • BS, East Tennessee State University, 1967
    Major: Mathematics

Current Scheduled Teaching

No current or future courses scheduled.

Previous Scheduled Teaching

CSCE 6950.756Doctoral DissertationSpring 2023
CSCE 6950.856Doctoral DissertationFall 2022
CSCE 5225.001Digital Image ProcessingSpring 2022 SPOT
CSCE 6950.756Doctoral DissertationSpring 2022
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2022 Syllabus SPOT
CSCE 6950.756Doctoral DissertationFall 2021
CSCE 5400.001Formal Languages, Automata and ComputabilityFall 2021 SPOT
CSCE 5225.001Digital Image ProcessingSpring 2021 SPOT
CSCE 5225.002Digital Image ProcessingSpring 8W2 2021
CSCE 5225.004Digital Image ProcessingSpring 2021 SPOT
CSCE 6950.756Doctoral DissertationSpring 2021
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2021 Syllabus SPOT
CSCE 4240.004Introduction to Digital Image ProcessingSpring 2021 SPOT
CSCE 5320.001Scientific Data VisualizationSpring 2021 SPOT
CSCE 5320.004Scientific Data VisualizationSpring 2021 SPOT
CSCE 4110.002AlgorithmsFall 2020 Syllabus SPOT
CSCE 4110.005AlgorithmsFall 2020 SPOT
CSCE 6950.756Doctoral DissertationFall 2020
CSCE 4115.001Formal Languages, Automata, and ComputabilityFall 2020 Syllabus SPOT
CSCE 4115.004Formal Languages, Automata, and ComputabilityFall 2020 Syllabus SPOT
CSCE 5210.001Artificial IntelligenceSpring 2020
CSCE 5210.600Artificial IntelligenceSpring 2020
CSCE 6950.756Doctoral DissertationSpring 2020
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2020 Syllabus
CSCE 4999.756Senior ThesisSpring 2020
CSCE 5934.756Directed StudyFall 2019
CSCE 6950.756Doctoral DissertationFall 2019
CSCE 5400.001Formal Languages, Automata and ComputabilityFall 2019 SPOT
CSCE 5400.600Formal Languages, Automata and ComputabilityFall 2019 SPOT
CSCE 4115.001Formal Languages, Automata, and ComputabilityFall 2019 Syllabus SPOT
CSCE 6940.756Individual ResearchFall 2019
CSCE 6950.756Doctoral DissertationSummer 10W 2019
CSCE 5225.001Digital Image ProcessingSpring 2019 SPOT
CSCE 5225.600Digital Image ProcessingSpring 2019 SPOT
CSCE 6950.756Doctoral DissertationSpring 2019
CSCE 6940.756Individual ResearchSpring 2019
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2019 Syllabus SPOT
CSCE 4901.001Software Development CapstoneSpring 2019 Syllabus SPOT
CSCE 6950.756Doctoral DissertationFall 2018
CSCE 4115.001Formal Languages, Automata, and ComputabilityFall 2018 SPOT
CSCE 6940.756Individual ResearchFall 2018
CSCE 5950.756Master's ThesisFall 2018
CSCE 2900.756Special Problems in Computer Science and EngineeringSummer 10W 2018
CSCE 2110.002Computing Foundations IISpring 2018 Syllabus SPOT
CSCE 2110.201Computing Foundations IISpring 2018 SPOT
CSCE 2110.202Computing Foundations IISpring 2018 SPOT
CSCE 2110.203Computing Foundations IISpring 2018 SPOT
CSCE 2110.204Computing Foundations IISpring 2018 SPOT
CSCE 2110.205Computing Foundations IISpring 2018 SPOT
CSCE 5225.001Digital Image ProcessingSpring 2018 SPOT
CSCE 5934.756Directed StudySpring 2018
CSCE 6950.756Doctoral DissertationSpring 2018
CSCE 6940.756Individual ResearchSpring 2018
CSCE 4240.001Introduction to Digital Image ProcessingSpring 2018 Syllabus SPOT
CSCE 5950.756Master's ThesisSpring 2018
CSCE 5934.756Directed StudyFall 2017
CSCE 6950.756Doctoral DissertationFall 2017
CSCE 5400.001Formal Languages, Automata and ComputabilityFall 2017 SPOT
CSCE 4115.001Formal Languages, Automata, and ComputabilityFall 2017 Syllabus SPOT
CSCE 6940.756Individual ResearchFall 2017
CSCE 6900.756Special ProblemsFall 2017
CSCE 5225.001Digital Image ProcessingSpring 2017 SPOT
CSCE 6950.756Doctoral DissertationSpring 2017
CSCE 6940.756Individual ResearchSpring 2017
CSCE 4600.001Introduction to Operating SystemsSpring 2017 Syllabus SPOT
CSCE 6950.756Doctoral DissertationFall 2016
CSCE 4115.001Formal Languages, Automata, and ComputabilityFall 2016 Syllabus SPOT
CSCE 6940.756Individual ResearchFall 2016
CSCE 5950.756Master's ThesisFall 2016
CSCE 6940.756Individual ResearchSummer 10W 2016
CSCE 6950.756Doctoral DissertationSpring 2016
CSCE 5950.756Master's ThesisSpring 2016
CSCE 6950.756Doctoral DissertationFall 2015
CSCE 5950.756Master's ThesisFall 2015
CSCE 5950.756Master's ThesisSummer 10W 2015
CSCE 5934.756Directed StudySpring 2015
CSCE 6950.756Doctoral DissertationSpring 2015
CSCE 5950.756Master's ThesisSpring 2015
CSCE 5225.001Digital Image ProcessingFall 2014
CSCE 6950.756Doctoral DissertationFall 2014
CSCE 5932.750InternshipFall 2014
CSCE 5950.756Master's ThesisFall 2014
CSCE 5934.756Directed StudySummer 10W 2014
CSCE 6950.756Doctoral DissertationSummer 10W 2014
CSCE 5932.750InternshipSummer 10W 2014
CSCE 5950.756Master's ThesisSummer 10W 2014
CSCE 4915.001Computer Engineering Design IISpring 2014 Syllabus
CSCE 6950.756Doctoral DissertationSpring 2014
CSCE 5170.001Graph TheorySpring 2014
CSCE 5932.750InternshipSpring 2014
CSCE 5950.756Master's ThesisSpring 2014
CSCE 4910.001Computer Engineering Design IFall 2013 Syllabus
CSCE 4915.001Computer Engineering Design IIFall 2013 Syllabus
CSCE 5225.001Digital Image ProcessingFall 2013
CSCE 5934.756Directed StudyFall 2013
CSCE 6950.756Doctoral DissertationFall 2013
CSCE 5932.750InternshipFall 2013
CSCE 5950.756Master's ThesisFall 2013
CSCE 6950.756Doctoral DissertationSummer 10W 2013
CSCE 5932.750InternshipSummer 10W 2013
CSCE 4910.001Computer Engineering Design ISpring 2013 Syllabus
CSCE 6950.756Doctoral DissertationSpring 2013
CSCE 5170.001Graph TheorySpring 2013
CSCE 6940.756Individual ResearchSpring 2013
CSCE 5932.750InternshipSpring 2013
CSCE 5950.756Master's ThesisSpring 2013
CSCE 5020.001Current Research in Computer Science and EngineeringFall 2012
CSCE 5020.002Current Research in Computer Science and EngineeringFall 2012
CSCE 5225.001Digital Image ProcessingFall 2012
CSCE 5934.756Directed StudyFall 2012
CSCE 6950.756Doctoral DissertationFall 2012
CSCE 6940.756Individual ResearchFall 2012
CSCE 5932.750InternshipFall 2012
CSCE 5950.756Master's ThesisFall 2012
CSCE 5934.756Directed StudySummer 10W 2012
CSCE 6950.756Doctoral DissertationSummer 10W 2012
CSCE 5932.750InternshipSummer 10W 2012
CSCE 5932.751InternshipSummer 5W2 2012
CSCE 5020.001Current Research in Computer Science and EngineeringSpring 2012
CSCE 6950.756Doctoral DissertationSpring 2012
CSCE 5170.001Graph TheorySpring 2012
CSCE 6940.756Individual ResearchSpring 2012
CSCE 5932.750InternshipSpring 2012
CSCE 5950.756Master's ThesisSpring 2012
CSCE 5020.001Current Research in Computer Science and EngineeringFall 2011
CSCE 5020.002Current Research in Computer Science and EngineeringFall 2011
CSCE 5225.001Digital Image ProcessingFall 2011
CSCE 5934.756Directed StudyFall 2011
CSCE 6950.756Doctoral DissertationFall 2011
CSCE 5932.750InternshipFall 2011
CSCE 5950.756Master's ThesisFall 2011
CSCE 5934.756Directed StudySummer 10W 2011
CSCE 5932.750InternshipSummer 10W 2011
CSCE 5932.751InternshipSummer 5W2 2011
CSCE 5900.756Special ProblemsSummer 10W 2011
CSCE 6933.001Advanced Topics in Computer Science and EngineeringSpring 2011
CSCE 5020.001Current Research in Computer Science and EngineeringSpring 2011
CSCE 5020.002Current Research in Computer Science and EngineeringSpring 2011
CSCE 5934.756Directed StudySpring 2011
CSCE 6950.756Doctoral DissertationSpring 2011
CSCE 5932.750InternshipSpring 2011
CSCE 5950.756Master's ThesisSpring 2011
CSCE 5020.001Current Research in Computer Science and EngineeringFall 2010
CSCE 5225.001Digital Image ProcessingFall 2010
CSCE 5934.756Directed StudyFall 2010
CSCE 6950.756Doctoral DissertationFall 2010
CSCE 6940.756Individual ResearchFall 2010
CSCE 5932.750InternshipFall 2010
CSCE 5950.756Master's ThesisFall 2010
CSCE 5934.756Directed StudySummer 10W 2010
CSCE 6950.756Doctoral DissertationSummer 10W 2010
CSCE 5932.750InternshipSummer 10W 2010
CSCE 5020.001Current Research in Computer Science and EngineeringSpring 2010
CSCE 5934.756Directed StudySpring 2010
CSCE 6950.756Doctoral DissertationSpring 2010
CSCE 5170.001Graph TheorySpring 2010
CSCE 6940.756Individual ResearchSpring 2010
CSCE 5932.750InternshipSpring 2010
CSCE 5020.001Current Research in Computer Science and EngineeringFall 2009
CSCE 6950.756Doctoral DissertationFall 2009
CSCE 6940.756Individual ResearchFall 2009
CSCE 5932.750InternshipFall 2009
CSCE 3850.001Introduction to Computational Life ScienceFall 2009
CSCE 5934.756Directed StudySummer 10W 2009
CSCE 5950.756Master's ThesisSummer 10W 2009
CSCE 5900.756Special ProblemsSummer 10W 2009
CSCE 6933.001Advanced Topics in Computer Science and EngineeringSpring 2009
CSCE 5950.756Master's ThesisSpring 2009
CSCE 5934.756Directed StudyFall 2008
CSCE 5950.756Master's ThesisFall 2008
CSCE 5933.002Topics in Computer Science and EngineeringFall 2008
CSCE 5950.756Master's ThesisSummer 10W 2008
CSCE 6900.756Special ProblemsSummer 10W 2008
CSCE 6900.705Special ProblemsSummer 5W2 2007
CSCE 5210.002Artificial IntelligenceSpring 2007
CSCE 4310.001Introduction to Artificial IntelligenceSpring 2007
CSCE 2050.001Computer Science IIIFall 2006

Published Intellectual Contributions

    Book

  • Buckles, B., Petry, F.E. (1992). Genetic Algorithms: Introduction and Applications. Los Alamitos, CA, IEEE Computer Society Press.
  • Conference Proceeding

  • Wang, H., Li, Y., Buckles, B. (2021). A Variety of Deep Learning Models to Classify Disaster Scene Videos. Proceedings of the International Conference on Science, Innovation and Management (ICSIM).
  • Li, Y., Wang, H., Buckles, B. (2020). Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos. IEEE High Performance Extreme Computing Conference (HPEC).
  • Li, Y., Wang, H., Buckles, B. (2019). Traffic Congestion Assessment Based on Street Level Data for On-Edge Deployment. Proceedings of the 4th ACM/IEEE Symposium on Edge Computing. https://dl.acm.org/doi/abs/10.1145/3318216.3363368
  • Li, Y., Buckles, B.P. (2019). Traffic congestion assessment based on street level data for on-edge deployment. 289-291. SPIE.
  • Islam, A., Alamari, A., Buckles, B.P. (2019). Skin detection in image and video founded in clustering and region growing. Other. 4.
  • Pang, J., Tian, C., Huang, Y., Buckles, B., Mirzaei, A. (2017). Atvis: A New Transit Visualization System. Advances in Geocomputation. 85–96. Springer, Cham.
  • Ahmed, J., Duraisamy, P., Buckles, B. (2017). Movie success prediction using data mining. 19th-Century Music. New Delhi,
  • Singh, R., Kandalan, R., Namuduri, K., Buckles, B. (2017). Effect of mobility on convergence rate of a wireless sensor network. Baltimore,
  • Kandalan, R.N., Singh, R., Namuduri, K., Varanasi, M.R., Buckles, B. (2017). Impact of mobility on convergence rate in a wireless sensor network. 2017 51st Annual Conference on Information Sciences and Systems (CISS). IEEE. http://dx.doi.org/10.1109/ciss.2017.7926150
  • Namuduri, K., Varanasi, M.R., Buckles, B. (2015). "A Link Between Consensus Building and Low Density Parity Check Decoding" CISS, Johns Hopkins University.
  • Namuduri, K., Varanasi, M.R., Buckles, B. (2015). A link between consensus building and Low Density Parity Check decoding. 2015 49th Annual Conference on Information Sciences and Systems (CISS). IEEE. http://dx.doi.org/10.1109/ciss.2015.7086871
  • Cheng, G., Wan, Y., Buckles, B., Huang, Y. (2014). An introduction to Markov logic networks and application in video activity analysis. Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on. 1–7.
  • Cheng, G., Huang, Y., Mirzaei, A., Buckles, B., Yang, H. (2014). Video-based automatic transit vehicle ingress/egress counting using trajectory clustering. Intelligent Vehicles Symposium Proceedings, 2014 IEEE. 827–832.
  • Buckles, B., Feng, W., Gao, J., Huang, Y. (2010). A Parallel, Hierarchical Scene Classification Framework. IASTED Intern. Conf. on Signal and Image Processing.
  • Buckles, B., Tang, S., Dong, P. Comparison of two Classification Methods for Feature Extraction. Intern. Conf. on Image Processing, Computer Vision, and Pattern Recognition.
  • Buckles, B., Feng, W., Gao, J. (2010). Probabilistic-based Graphical Models and their Applications in Image Understanding. Intern. Conf. on Computers, Communications, and Network Technology.
  • Belkhouche, M.Y., Buckles, B., Yuan, X., Steinberg, L. (2008). A Preprocessing Method for Automatic Break Lines Detection. IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium. 2 II--253.
  • Yuan, X., Hu, L., Buckles, B., Steinberg, L., Sarma, V. (2008). An adaptive method for the construction of digital terrain model from Lidar data. Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International. 2 II--828.
  • Buckles, B., Steinberg, L., Yuan, X., Liu, X., Hu, L., Belkhouche, Y. (2008). Analysis, modeling, and rendering of urban flood events. Proceedings of the 2008 international conference on Digital government research. 431--432.
  • Giritharan, B., Yuan, X., Liu, J., Buckles, B., Oh, J., Tang, S.J. (2008). Bleeding detection from capsule endoscopy videos. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 4780--4783.
  • Liu, J., Yuan, X., Buckles, B. (2008). Breast cancer diagnosis using level-set statistics and support vector machines. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 3044--3047.
  • Yuan, X., Buckles, B. (2007). A wavelet-based noise-aware method for fusing noisy imagery. Image Processing, 2007. ICIP 2007. IEEE International Conference on. 6 VI--385.
  • Xiaohui, Y., Zhaoshan, Y., Buckles, B. (2004). A computational vision approach to improve fusion performance. SPIE. 4875 505--512.
  • Zhang, J., Yuan, X., Buckles, B. (2004). Multimodal Function Optimization Using Local Ruggedness Information.. FLAIRS Conference. 380--386.
  • Yuan, X., Buckles, B. (2004). Subband noise estimation for adaptive wavelet shrinkage. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on. 4 885--888.
  • Zhang, J., Yuan, X., Buckles, B. (2004). Subspace FDC for sharing distance estimation. Evolutionary Computation, 2004. CEC2004. Congress on. 2 1735--1742.
  • Yuan, X., Zhang, J., Buckles, B. (2003). Fusing multiple images with evidential reasoning. Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003. 5099 58--65.
  • Yuan, X., Yuan, X., Yang, F., Peng, J., Buckles, B. (2003). Gene Expression Classification: Decision Trees vs. SVMs.. FLAIRS conference. 2003 92--97.
  • Yuan, X., Zhang, J., Buckles, B. (2003). Hybrid fusion approach based on fuzzy feature and evidential reasoning. Fuzzy Systems, 2003. FUZZ'03. The 12th IEEE International Conference on. 2 961--965.
  • Yuan, X., Zhang, J., Yuan, X., Buckles, B. (2003). Low Level Fusion of Imagery Based on Dempster-Shafer Theory.. FLAIRS Conference. 475--480.
  • Zhang, J., Yuan, X., Buckles, B. (2003). Population sizing based on landscape feature. Genetic and Evolutionary Computation Conference. 1624--1625.
  • Zhang, J., Yuan, X., Buckles, B. (2003). Sample Complexity of Real-Coded Evolutionary Algorithms.. FLAIRS Conference. 239--244.
  • Zhang, J., Yuan, X., Buckles, B. (2002). An evolution strategies based approach to image registration. Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation. 1249--1256.
  • Yuan, X., Yuan, Z., Buckles, B. (2002). Computational vision approach to improve fusion performance. Second International Conference on Image and Graphics. 4875 505--513.
  • Yuan, X., Zhang, J., Buckles, B., Yuan, Z. (2002). Feature-based approach for image correspondence estimation. Second International Conference on Image and Graphics. 4875 663--671.
  • Yuan, X., Buckles, B., Yuan, Z., Zhang, J. (2002). Mining negative association rules. Computers and Communications, 2002. Proceedings. ISCC 2002. Seventh International Symposium on. 623--628.
  • Journal Article

  • Kandalan, R.N., Varanasi, M., Buckles, B.P., Namuduri, K. (2020). Impact of Leadership and Mobility on Consensus-Building in Sensor Networks. Sensors. 20 (4) 1081.
  • Cheng, G., Huang, Y., Wan, Y., Buckles, B. (2015). Exploring temporal structure of trajectory components for action recognition. International Journal of Intelligent Systems. 30 (2) 99–119.
  • Wan, Y., Huang, Y., Buckles, B. (2014). Camera calibration and vehicle tracking: Highway traffic video analytics. Transportation Research Part C: Emerging Technologies. 44 202–213. Pergamon.
  • Tang, S., Dong, P., Buckles, B. A new method for extracting trees and buildings from sparse LiDAR data in urban areas. Other. 3 (3) 211-219. London, Taylor & Francis.
  • Belkhouche, M., Buckles, B. Iterative TIN-Based Automatic Filtering of Sparse LiDAR Data. Other. 2 (3) 231-240. London, Taylor & Francis.
  • Yuan, X., Zhang, J., Buckles, B. (2010). A multiresolution method for tagline detection and indexing. IEEE Transactions on Information Technology in Biomedicine. 14 (2) 507--513. IEEE.
  • Yuan, X., Zhang, J., Buckles, B. (2009). A Multi-resolution Method for Tagline Detection and Indexing. IEEE Transactions on Information Technology in Biomedicine.
  • Belkhouche, M.Y., Buckles, B., Yuan, X., Steinberg, L. (2008). A Preprocessing Method for Automatic Break lines Detection. II-253–II-256. IEEE International Geoscience & Remote Sensing Symposium, Boston.
  • Yuan, X., Hu, L., Buckles, B., Steinberg, L., Sharma, V. (2008). An Adaptive Method for the Construction of Digital Terrain Models from LiDAR Data. II-828–II-830. IEEE International Geo¬science & Remote Sensing Symposium, Boston.
  • Buckles, B., Steinberg, L., Yuan, X., Liu, X., Hu, L., Mohammed, Y., Cromwell, B. (2008). Analysis, Modeling, and Rendering of Urban Flood Events. Annual Intern. Conference on Digital Government Research, Montreal Canada.
  • Giritharan, B., Yuan, X., Liu, J., Buckles, B., Oh, J., Tang, S.J. (2008). Bleeding detection from capsule endoscopy videos. 4780-4783. IEEE Intern. Conf. on Engineering in Medicine and Biology,Vancouver.
  • Liu, J., Yuan, X., Buckles, B. (2008). Breast Cancer diagnosis using level-set statistics and support vector machines. 3034–3047. IEEE Intern. Conf. on Engineering in Medicine and Biology, Vancouver.
  • Shen, Y., Guturu, P., Damarla, T.R., Buckles, B. (2008). Particle filter based object tracking with discriminative feature extraction and fusion. 246–256. Intern. Symp. on Visual Computing , Las Vegas.
  • Yuan, X., Buckles, B. (2007). A Wavelet-based Noise-aware Method for Fusing Noisy Imagery. 4 885–888. Proc. IEEE Intern. Conf. on Image Processing, San Antonio, TX.
  • Prabhu, D., Buckles, B., Petry, F.E. (2006). A SIMD Environment for Genetic Algorithms with Interconnected Subpopulations. Other.
  • Zhang, K., Fan, W., Buckles, B., Yuan, X., Xu, Z. (2006). Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. 741-752. Proc. IEEE Intern. Conf. on Data Mining (ICDM), Hong Kong.
  • Zhang, P., Peng, J., Buckles, B. (2006). Learning optimal filter representation for texture classification. 1138–1141. IEEE Intern. Conf. on Pattern Recognition.
  • Zhang, J., Yuan, X., Buckles, B. (2005). Function Granularity Estimation for Multimodal Optimization. International Journal on Artificial Intelligence Tools. 14 (1-2) 199-213.
  • Zhang, J., Yuan, X., Buckles, B. (2005). Function granularity estimation for multimodal optimization. International Journal on Artificial Intelligence Tools. 14 (01n02) 199--213. World Scientific Publishing Company.
  • Yuan, X., Zhang, J., Yuan, X., Buckles, B. (2005). Multi-scale feature identification using evolution strategies. Other. 23 (6) 555--563. Elsevier.
  • Yuan, X., Zhang, J., Buckles, B. (2005). Multi-scale Feature Identification Using Evolutionary Strategies. Image and Vision Computing Journal. 23 (6) 555-563.
  • Xing, C., Buckles, B. (2005). On the Size of the Search Space of Join Optimization. Journal of Computing Sciences in Colleges. 20 (6) 136-142.
  • Yuan, X., Zhang, J., Buckles, B. (2004). Evolution Strategies Based Image Registration via Feature Matching. International Journal on Information Fusion. 5 (4) 269–282.
  • Yuan, X., Zhang, J., Buckles, B. (2004). Evolution strategies based image registration via feature matching. Information Fusion. 5 (4) 269--282. Elsevier.
  • Yuan, X., Yuan, X., Buckles, B., Zhang, J. (2003). A comparison study of decision tree and SVM to classify gene sequence. Other.
  • Hernández-Aguirre, A., Koutsougeras , C., Buckles, B. (2002). Sample Complexity for Function Learning Tasks Through Linear Neural Networks. International Journal on Artificial Intelligence Tools. 11 (4) 499-512.
  • Pindea, I., Gokcen, I., Buckles, B. (2002). Sample Complexity for Function Learning Tasks Through Linear Neural Networks. International Journal on Artificial Intelligence Tools. 11 (4) 499–512.
  • Prabhu, D., Buckles, B., Petry, F.E. (2002). Image Feature Set for Correspondence Mappings. International Journal of Higher Performance Computing Applications. 16 (3) 273-284.
  • Pindea, I., Gokcen, I., Buckles, B. (2002). Image Feature Set for Correspondence Mappings. International Journal of Higher Performance Computing Applications. 16 (3) 273–284.
  • Buckley, J.P., Buckles, B., Petry, F.E. (2000). Uncertainty in a Nested Relational Database Model. International Journal of Soft Computing. 4 (4) 195-205.
  • Buckley, J.P., Buckles, B., Petry, F.E. (2000). Genetic Algorithms for Scene Interpretation from Proto¬typical Semantic Description. International Journal of Intelligent Systems. 15 (10) 901–918.
  • Yazici, A., Buckles, B., Petry, F.E. (1999). Handling Complex and Uncertain Information in the ExIFO and NF2 Data Models. IEEE Transactions on Fuzzy Systems. 7 (12) 259–276.
  • Yazici, A., Soysal, A., Buckles, B., Petry, F.E. (1999). Processing Structured Textual Data with Uncertainty using a Fuzzy Matching Approach. Data & Knowledge Engineering. 30 (3) 275-301.
  • Hernández-Aguirre, A., Buckles, B. (1998). Estrategias Evolutivas: La Versi´on Alemana del Algo¬ritmo Gen´etico, Parte 2. Soluciones Avanzadas. 6 (64) 47-53.
  • Hernández-Aguirre, A., Buckles, B. (1998). Estrategias Evolutivas: La Versi´on Alemana del Algo¬ritmo Gen´etico, Parte 1. Soluciones Avanzadas. 6 (62) 38-45.
  • Buckley, J., Buckles, B., Petry, F.E. (1996). Constructing a windowing Function to interface a database with Expert System Rules. Journal of Systems Engineering and Electronics. 5 45–54.
  • George, R., Buckles, B., Petry, F. (1996). Fuzzy Information Systems: Challenges and Opportunities of a New Era. International Journal of Intelligent Systems. 11 (9) 649-659.
  • George, R., Srikanth, R., Petry, F.E., Buckles, B. (1996). Uncertainty Management Issues in Object-oriented Database Systems. IEEE Transactions on Fuzzy Systems. 4 (2) 179–192.
  • Srikanth, R., George, R., Warsi, N., Prabhu, D., Petry, F.E., Buckles, B. (1995). A Variable Length Genetic Algorithm for Clustering and Classification. Pattern Recognition. 16 (8) 789–800.
  • Technical Report

  • Huang, Y., Buckles, B. (2012). Low cost wireless network camera sensors for traffic monitoring.

Contracts, Grants and Sponsored Research

    Grant - Research

  • Goel, A.K. (Principal), Wan, Y. (Supporting), Buckles, B.P. (Supporting), "Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Data!," sponsored by NSF, Federal, $1000000 Funded. (1916 - 2019).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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