Faculty Profile

Bill Buckles

Title
Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, University of Alabama, Huntsville, 1981.
Major: Operations Research
MS, University of Alabama, Huntsville, 1979.
Major: Computer Science
MS, University of Alabama, Huntsville, 1977.
Major: Operations Research
BS, East Tennessee State University, 1967.
Major: Mathematics

Current Scheduled Teaching*

CSCE 6950.756, Doctoral Dissertation, Fall 2021
CSCE 5400.001, Formal Languages, Automata and Computability, Fall 2021

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 5225.001, Digital Image Processing, Spring 2021 SPOT
CSCE 5225.002, Digital Image Processing, Spring 8W2 2021
CSCE 5225.004, Digital Image Processing, Spring 2021 SPOT
CSCE 6950.756, Doctoral Dissertation, Spring 2021
CSCE 4240.001, Introduction to Digital Image Processing, Spring 2021 Syllabus SPOT
CSCE 4240.004, Introduction to Digital Image Processing, Spring 2021 SPOT
CSCE 5320.001, Scientific Data Visualization, Spring 2021 Syllabus SPOT
CSCE 5320.004, Scientific Data Visualization, Spring 2021 SPOT
CSCE 4110.002, Algorithms, Fall 2020 Syllabus SPOT
CSCE 4110.005, Algorithms, Fall 2020 SPOT
CSCE 6950.756, Doctoral Dissertation, Fall 2020
CSCE 4115.001, Formal Languages, Automata, and Computability, Fall 2020 Syllabus SPOT
CSCE 4115.004, Formal Languages, Automata, and Computability, Fall 2020 Syllabus SPOT
CSCE 5210.001, Artificial Intelligence, Spring 2020
CSCE 5210.600, Artificial Intelligence, Spring 2020
CSCE 6950.756, Doctoral Dissertation, Spring 2020
CSCE 4240.001, Introduction to Digital Image Processing, Spring 2020 Syllabus
CSCE 4999.756, Senior Thesis, Spring 2020
CSCE 5934.756, Directed Study, Fall 2019
CSCE 6950.756, Doctoral Dissertation, Fall 2019
CSCE 5400.001, Formal Languages, Automata and Computability, Fall 2019 SPOT
CSCE 5400.600, Formal Languages, Automata and Computability, Fall 2019 SPOT
CSCE 4115.001, Formal Languages, Automata, and Computability, Fall 2019 Syllabus SPOT
CSCE 6940.756, Individual Research, Fall 2019
CSCE 6950.756, Doctoral Dissertation, Summer 10W 2019
CSCE 5225.001, Digital Image Processing, Spring 2019 SPOT
CSCE 5225.600, Digital Image Processing, Spring 2019 SPOT
CSCE 6950.756, Doctoral Dissertation, Spring 2019
CSCE 6940.756, Individual Research, Spring 2019
CSCE 4240.001, Introduction to Digital Image Processing, Spring 2019 Syllabus SPOT
CSCE 4901.001, Software Development Capstone, Spring 2019 Syllabus SPOT
CSCE 6950.756, Doctoral Dissertation, Fall 2018
CSCE 4115.001, Formal Languages, Automata, and Computability, Fall 2018 SPOT
CSCE 6940.756, Individual Research, Fall 2018
CSCE 5950.756, Master's Thesis, Fall 2018
CSCE 2900.756, Special Problems in Computer Science and Engineering, Summer 10W 2018
CSCE 2110.002, Computing Foundations II, Spring 2018 Syllabus SPOT
CSCE 2110.201, Computing Foundations II, Spring 2018 SPOT
CSCE 2110.202, Computing Foundations II, Spring 2018 SPOT
CSCE 2110.203, Computing Foundations II, Spring 2018 SPOT
CSCE 2110.204, Computing Foundations II, Spring 2018 SPOT
CSCE 2110.205, Computing Foundations II, Spring 2018 SPOT
CSCE 5225.001, Digital Image Processing, Spring 2018 SPOT
CSCE 5934.756, Directed Study, Spring 2018
CSCE 6950.756, Doctoral Dissertation, Spring 2018
CSCE 6940.756, Individual Research, Spring 2018
CSCE 4240.001, Introduction to Digital Image Processing, Spring 2018 Syllabus SPOT
CSCE 5950.756, Master's Thesis, Spring 2018
CSCE 5934.756, Directed Study, Fall 2017
CSCE 6950.756, Doctoral Dissertation, Fall 2017
CSCE 5400.001, Formal Languages, Automata and Computability, Fall 2017 SPOT
CSCE 4115.001, Formal Languages, Automata, and Computability, Fall 2017 Syllabus SPOT
CSCE 6940.756, Individual Research, Fall 2017
CSCE 6900.756, Special Problems, Fall 2017
CSCE 5225.001, Digital Image Processing, Spring 2017 SPOT
CSCE 6950.756, Doctoral Dissertation, Spring 2017
CSCE 6940.756, Individual Research, Spring 2017
CSCE 4600.001, Introduction to Operating Systems, Spring 2017 Syllabus SPOT
CSCE 6950.756, Doctoral Dissertation, Fall 2016
CSCE 4115.001, Formal Languages, Automata, and Computability, Fall 2016 Syllabus SPOT
CSCE 6940.756, Individual Research, Fall 2016
CSCE 5950.756, Master's Thesis, Fall 2016
CSCE 6940.756, Individual Research, Summer 10W 2016
CSCE 6950.756, Doctoral Dissertation, Spring 2016
CSCE 5950.756, Master's Thesis, Spring 2016
CSCE 6950.756, Doctoral Dissertation, Fall 2015
CSCE 5950.756, Master's Thesis, Fall 2015
CSCE 5950.756, Master's Thesis, Summer 10W 2015
CSCE 5934.756, Directed Study, Spring 2015
CSCE 6950.756, Doctoral Dissertation, Spring 2015
CSCE 5950.756, Master's Thesis, Spring 2015
CSCE 5225.001, Digital Image Processing, Fall 2014
CSCE 6950.756, Doctoral Dissertation, Fall 2014
CSCE 5932.750, Internship, Fall 2014
CSCE 5950.756, Master's Thesis, Fall 2014
CSCE 5934.756, Directed Study, Summer 10W 2014
CSCE 6950.756, Doctoral Dissertation, Summer 10W 2014
CSCE 5932.750, Internship, Summer 10W 2014
CSCE 5950.756, Master's Thesis, Summer 10W 2014
CSCE 4915.001, Computer Engineering Design II, Spring 2014 Syllabus
CSCE 6950.756, Doctoral Dissertation, Spring 2014
CSCE 5170.001, Graph Theory, Spring 2014
CSCE 5932.750, Internship, Spring 2014
CSCE 5950.756, Master's Thesis, Spring 2014
CSCE 4910.001, Computer Engineering Design I, Fall 2013 Syllabus
CSCE 4915.001, Computer Engineering Design II, Fall 2013 Syllabus
CSCE 5225.001, Digital Image Processing, Fall 2013
CSCE 5934.756, Directed Study, Fall 2013
CSCE 6950.756, Doctoral Dissertation, Fall 2013
CSCE 5932.750, Internship, Fall 2013
CSCE 5950.756, Master's Thesis, Fall 2013
CSCE 6950.756, Doctoral Dissertation, Summer 10W 2013
CSCE 5932.750, Internship, Summer 10W 2013
CSCE 4910.001, Computer Engineering Design I, Spring 2013 Syllabus
CSCE 6950.756, Doctoral Dissertation, Spring 2013
CSCE 5170.001, Graph Theory, Spring 2013
CSCE 6940.756, Individual Research, Spring 2013
CSCE 5932.750, Internship, Spring 2013
CSCE 5950.756, Master's Thesis, Spring 2013
CSCE 5020.001, Current Research in Computer Science and Engineering, Fall 2012
CSCE 5020.002, Current Research in Computer Science and Engineering, Fall 2012
CSCE 5225.001, Digital Image Processing, Fall 2012
CSCE 5934.756, Directed Study, Fall 2012
CSCE 6950.756, Doctoral Dissertation, Fall 2012
CSCE 6940.756, Individual Research, Fall 2012
CSCE 5932.750, Internship, Fall 2012
CSCE 5950.756, Master's Thesis, Fall 2012
CSCE 5934.756, Directed Study, Summer 10W 2012
CSCE 6950.756, Doctoral Dissertation, Summer 10W 2012
CSCE 5932.750, Internship, Summer 10W 2012
CSCE 5932.751, Internship, Summer 5W2 2012
CSCE 5020.001, Current Research in Computer Science and Engineering, Spring 2012
CSCE 6950.756, Doctoral Dissertation, Spring 2012
CSCE 5170.001, Graph Theory, Spring 2012
CSCE 6940.756, Individual Research, Spring 2012
CSCE 5932.750, Internship, Spring 2012
CSCE 5950.756, Master's Thesis, Spring 2012
CSCE 5020.001, Current Research in Computer Science and Engineering, Fall 2011
CSCE 5020.002, Current Research in Computer Science and Engineering, Fall 2011
CSCE 5225.001, Digital Image Processing, Fall 2011
CSCE 5934.756, Directed Study, Fall 2011
CSCE 6950.756, Doctoral Dissertation, Fall 2011
CSCE 5932.750, Internship, Fall 2011
CSCE 5950.756, Master's Thesis, Fall 2011
CSCE 5934.756, Directed Study, Summer 10W 2011
CSCE 5932.750, Internship, Summer 10W 2011
CSCE 5932.751, Internship, Summer 5W2 2011
CSCE 5900.756, Special Problems, Summer 10W 2011
CSCE 6933.001, Advanced Topics in Computer Science and Engineering, Spring 2011
CSCE 5020.001, Current Research in Computer Science and Engineering, Spring 2011
CSCE 5020.002, Current Research in Computer Science and Engineering, Spring 2011
CSCE 5934.756, Directed Study, Spring 2011
CSCE 6950.756, Doctoral Dissertation, Spring 2011
CSCE 5932.750, Internship, Spring 2011
CSCE 5950.756, Master's Thesis, Spring 2011
CSCE 5020.001, Current Research in Computer Science and Engineering, Fall 2010
CSCE 5225.001, Digital Image Processing, Fall 2010
CSCE 5934.756, Directed Study, Fall 2010
CSCE 6950.756, Doctoral Dissertation, Fall 2010
CSCE 6940.756, Individual Research, Fall 2010
CSCE 5932.750, Internship, Fall 2010
CSCE 5950.756, Master's Thesis, Fall 2010
CSCE 5934.756, Directed Study, Summer 10W 2010
CSCE 6950.756, Doctoral Dissertation, Summer 10W 2010
CSCE 5932.750, Internship, Summer 10W 2010
CSCE 5020.001, Current Research in Computer Science and Engineering, Spring 2010
CSCE 5934.756, Directed Study, Spring 2010
CSCE 6950.756, Doctoral Dissertation, Spring 2010
CSCE 5170.001, Graph Theory, Spring 2010
CSCE 6940.756, Individual Research, Spring 2010
CSCE 5932.750, Internship, Spring 2010
CSCE 5020.001, Current Research in Computer Science and Engineering, Fall 2009
CSCE 6950.756, Doctoral Dissertation, Fall 2009
CSCE 6940.756, Individual Research, Fall 2009
CSCE 5932.750, Internship, Fall 2009
CSCE 3850.001, Introduction to Computational Life Science, Fall 2009
CSCE 5934.756, Directed Study, Summer 10W 2009
CSCE 5950.756, Master's Thesis, Summer 10W 2009
CSCE 5900.756, Special Problems, Summer 10W 2009
CSCE 6933.001, Advanced Topics in Computer Science and Engineering, Spring 2009
CSCE 5950.756, Master's Thesis, Spring 2009
CSCE 5934.756, Directed Study, Fall 2008
CSCE 5950.756, Master's Thesis, Fall 2008
CSCE 5933.002, Topics in Computer Science and Engineering, Fall 2008
CSCE 5950.756, Master's Thesis, Summer 10W 2008
CSCE 6900.756, Special Problems, Summer 10W 2008
CSCE 6900.705, Special Problems, Summer 5W2 2007
CSCE 5210.002, Artificial Intelligence, Spring 2007
CSCE 4310.001, Introduction to Artificial Intelligence, Spring 2007
CSCE 2050.001, Computer Science III, Fall 2006

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Book
Buckles, B. P., Petry, F. E. (1992). Genetic Algorithms: Introduction and Applications. Los Alamitos, CA: IEEE Computer Society Press.
Conference Proceeding
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. P., 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., Buckles, B. P. (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., Buckles, B. P. (2015). "A Link Between Consensus Building and Low Density Parity Check Decoding" CISS, Johns Hopkins University.
Namuduri, K., Varanasi, M., Buckles, B. P. (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. P., 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. P., Yang, H. (2014). Video-based automatic transit vehicle ingress/egress counting using trajectory clustering. Intelligent Vehicles Symposium Proceedings, 2014 IEEE. 827–832.
Buckles, B. P., Feng, W., Gao, J., Huang, Y. (2010). A Parallel, Hierarchical Scene Classification Framework. IASTED Intern. Conf. on Signal and Image Processing.
Buckles, B. P., Feng, W., Gao, J. (2010). Probabilistic-based Graphical Models and their Applications in Image Understanding. Intern. Conf. on Computers, Communications, and Network Technology.
Yuan, X., Hu, L., Buckles, B. P., 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. P., 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. P., 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. P. (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. P. (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. P. (2004). A computational vision approach to improve fusion performance. SPIE. 4875, 505--512.
Zhang, J., Yuan, X., Buckles, B. P. (2004). Multimodal Function Optimization Using Local Ruggedness Information.. FLAIRS Conference. 380--386.
Yuan, X., Buckles, B. P. (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. P. (2004). Subspace FDC for sharing distance estimation. Evolutionary Computation, 2004. CEC2004. Congress on. 2, 1735--1742.
Yuan, X., Zhang, J., Buckles, B. P. (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. P. (2003). Gene Expression Classification: Decision Trees vs. SVMs.. FLAIRS conference. 2003, 92--97.
Yuan, X., Zhang, J., Buckles, B. P. (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. P. (2003). Low Level Fusion of Imagery Based on Dempster-Shafer Theory.. FLAIRS Conference. 475--480.
Zhang, J., Yuan, X., Buckles, B. P. (2003). Population sizing based on landscape feature. Genetic and Evolutionary Computation Conference. 1624--1625.
Zhang, J., Yuan, X., Buckles, B. P. (2003). Sample Complexity of Real-Coded Evolutionary Algorithms.. FLAIRS Conference. 239--244.
Zhang, J., Yuan, X., Buckles, B. P. (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. P. (2002). Computational vision approach to improve fusion performance. Second International Conference on Image and Graphics. 4875, 505--513.
Yuan, X., Zhang, J., Buckles, B. P., Yuan, Z. (2002). Feature-based approach for image correspondence estimation. Second International Conference on Image and Graphics. 4875, 663--671.
Yuan, X., Buckles, B. P., 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. Sensors. 20(4), 1081.
Cheng, G., Huang, Y., Wan, Y., Buckles, B. P. (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. P. (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. P. 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. P. Iterative TIN-Based Automatic Filtering of Sparse LiDAR Data. Other. 2(3), 231-240. London: Taylor & Francis.
Yuan, X., Zhang, J., Buckles, B. P. (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. P. (2009). A Multi-resolution Method for Tagline Detection and Indexing. IEEE Transactions on Information Technology in Biomedicine.
Belkhouche, M. Y., Buckles, B. P., 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. P., 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. P., 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. P., 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. P. (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. P. (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. P. (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. P., Petry, F. E. (2006). A SIMD Environment for Genetic Algorithms with Interconnected Subpopulations. Other.
Zhang, K., Fan, W., Buckles, B. P., 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. P. (2006). Learning optimal filter representation for texture classification. 1138–1141. IEEE Intern. Conf. on Pattern Recognition.
Zhang, J., Yuan, X., Buckles, B. P. (2005). Function Granularity Estimation for Multimodal Optimization. International Journal on Artificial Intelligence Tools. 14(1-2), 199-213.
Zhang, J., Yuan, X., Buckles, B. P. (2005). Function granularity estimation for multimodal optimization. International Journal on Artificial Intelligence Tools. 14(01n02), 199--213. World Scientific Publishing Company.
Zhang, J., Yuan, X., Buckles, B. P. (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. P. (2005). Multi-scale feature identification using evolution strategies. Other. 23(6), 555--563. Elsevier.
Yuan, X., Zhang, J., Yuan, X., Buckles, B. P. (2005). Multi-scale feature identification using evolution strategies. Other. 23(6), 555--563. Elsevier.
Yuan, X., Zhang, J., Buckles, B. P. (2005). Multi-scale Feature Identification Using Evolutionary Strategies. Image and Vision Computing Journal. 23(6), 555-563.
Xing, C., Buckles, B. P. (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. P. (2004). Evolution Strategies Based Image Registration via Feature Matching. International Journal on Information Fusion. 5(4), 269–282.
Yuan, X., Zhang, J., Buckles, B. P. (2004). Evolution strategies based image registration via feature matching. Information Fusion. 5(4), 269--282. Elsevier.
Yuan, X., Zhang, J., Buckles, B. P. (2004). Evolution strategies based image registration via feature matching. Information Fusion. 5(4), 269--282. Elsevier.
Yuan, X., Yuan, X., Buckles, B. P., Zhang, J. (2003). A comparison study of decision tree and SVM to classify gene sequence. Other.
Pindea, I., Gokcen, I., Buckles, B. P. (2002). Sample Complexity for Function Learning Tasks Through Linear Neural Networks. International Journal on Artificial Intelligence Tools. 11(4), 499–512.
Hernández-Aguirre, A., Koutsougeras, C., Buckles, B. P. (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. P. (2002). Image Feature Set for Correspondence Mappings. International Journal of Higher Performance Computing Applications. 16(3), 273–284.
Prabhu, D., Buckles, B. P., Petry, F. E. (2002). Image Feature Set for Correspondence Mappings. International Journal of Higher Performance Computing Applications. 16(3), 273-284.
Buckley, J. P., Buckles, B. P., 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. P., 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. P., 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. P., 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. P. (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. P. (1998). Estrategias Evolutivas: La Versi´on Alemana del Algo¬ritmo Gen´etico, Parte 1. Soluciones Avanzadas. 6(62), 38-45.
Buckley, J., Buckles, B. P., 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. P., 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. P. (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. P. (1995). A Variable Length Genetic Algorithm for Clustering and Classification. Pattern Recognition. 16(8), 789–800.
Technical Report
Huang, Y., Buckles, B. P. (2012). Low cost wireless network camera sensors for traffic monitoring.

Awarded Grants

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. (July 1, 1916June 30, 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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