Professor, Computer Science and Engineering, University of Central Arkansas

1. Courses offered recently:

• CSCI 2330 Discrete math

• CSCI 3330 Algorithms

• CSCI 4310/5310 Numerical methods for data science

• CSCI 4v95/5v95 Research project/independent study

• CSCI 6330 Topics on algorithms

• CSCI 6397 Special topics

• CSCI 6v99 Master's thesis

2. Selected grant awards:

• NSF/OIA-1946391, Senior scientist, Data Analytics that are Robust and Trusted (DART): From Smart Curation to Socially Aware Decision Making

• NSF/CISE/CCF-0727798,  PI (Principal Investigator), Knowledge Processing with Interval Methods

• NSF/CISE/CCF-0202042,  PI, Parallel Reliable Global Optimization with Interval Arithmetic

• Army Research Office, DAAH-0495-1-0250, Co-PI, Parallel and Distributed Evaluation, Visualization, and AI Reasoning to Advanced Distributed Interactive Simulation Technology

3. Selected  publications: (Student co-authors are specified with an underline)

• Hu, C., Spurling, M. (2023). Dynamically Monitoring  Crowdworker's Reliability with Interval-Valued Labels. Best Paper Award in Artificial Intelligence and Social Computing at the AHFE (2023) International Conference, San Francisco, CA July 20-24, 2023. AHFE Open Access, vol 72. http://doi.org/10.54941/ahfe1003270

• Moody, A., Spurling, M., Hu, C.  (2023). The Removal of Irrelevant Human Factors in a Multi-Review Corpus through Text Filtering. In: Tareq Ahram (eds) Human Factors in Software and Systems Engineering. AHFE (2023) International Conference. AHFE Open Access, vol 94. AHFE International, USA. http://doi.org/10.54941/ahfe1003766

• Spurling, M., Hu, C., Zhan, H., Sheng, V.S. (2022). Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1601. Springer, Cham. https://doi.org/10.1007/978-3-031-08971-8_42 

• Moody, A., Hu, C., Zhan, H., Spurling, M., Sheng, V.S. (2022). Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1601. Springer, Cham. https://doi.org/10.1007/978-3-031-08971-8_44 

• M. Spurling, C. Hu, X. Zhan, and VS. Sheng (2021)  Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work, Proc. IEEE SSCI 2021, Orlando FL, Dec. 5-7, 2021, DOI: 10.1109/SSCI50451.2021.9660043. 

• C. Hu, V.S. Sheng, N. Wu, and X. Wu (2021) Managing uncertainty in crowdsourcing with interval-valued labels. NAFIPS 2021: 166-178, DOI: 10.1007/978-3-030-82099-2_15

• C.Hu and Z. Hu (2020) On Statistics, Probability, and Entropy of Interval-Valued Datasets. IPMU (3) 2020: 407-421, https://doi.org/10.1007/978-3-030-50153-2_31

• C. Hu and Z. Hu (2020) A Computational Study on the Entropy of Interval-Valued Datasets from the Stock Market. IPMU (3) 2020: 422-435, https://doi.org/10.1007/978-3-030-50153-2_32

• C. Rhodes, J. Lemon, C. Hu (2015) An Interval-Radial Algorithm for Hierarchical Clustering Analysis, Int. Conf. on Machine Learning and Application, pp. 849-856, Miami, FL. https://doi.org/10.1109/ICMLA.2015.118

• C. Mitchel, C. Hu, B. Chen, M. Nooner, P. Young  (2014) A Computational Study on Interval-Valued Matrix Games, the 2014 Int. Conf. on Computational Science and Computational Intelligence, Las Vegas, NV. https://doi.org/10.1109/CSCI.2014.66

• B. Nordin, C. Hu, B. Chen, and V. Sheng (2012) Interval-Valued Centroids in K-Means Algorithms, Int. Conf., Machine Learning and Applications, Vol. 1, pp. 478-481,  Boca Raton, FL. https://doi.org/10.1109/ICMLA.2012.87 

• P. Marupally, V. Paruchuri, C. Hu (2012) Bandwidth Variability Prediction with Rolling Interval Least Squares, ACM 50th Southeast Reginal Conference, pp. 209-213, Tuscaloosa, AL. https://doi.org/10.1145/2184512.2184562

• V. Yip, S. Kockara, and C. Hu (2011) Efficient Calculation of Structural Similarity Threshold for the SCAN Network Clustering Algorithm,  IEEE Int. Conf. on Bioinformatics and Biomedicine, pp. 600-603, Atlanta, GA. https://doi.org/10.1109/BIBM.2011.49

• C. Hu (2011) Interval function and its linear least-squares approximation, the ACM 4th International Workshop on Symbolic and Numeric Computation, pp. 16-23, San Jose, CA. https://doi.org/10.1145/2331684.2331689

• L. He and C. Hu (2010) Midpoint method and accuracy of variability forecasting, J. Empirical Economics, 38, 705-715. https://doi.org/10.1007/s00181-009-0286-6

• L. He and C. Hu (2009) Impacts of interval computing on stock market variability forecasting, J. of Computational Economics, 33(3), 263-276. https://doi.org/10.1007/s10614-008-9159-x

• C. Hu, B. Kearfott, A. de Korvin and V. Kreinovich (2008) Book: Knowledge Processing with Interval and Soft Computing, Springer, ISBN 978-1-84800-325-5.

• D. Collins and C. Hu (2008) Studying interval valued matrix games with fuzzy logic, J. of Soft Computing, 12(2), 147-155. DOI:10.1007/s00500-007-0207-6 

• C. Hu and L. He (2007) An application of interval methods to stock market forecasting J. Reliable Computing 13(5): 423-434. DOI:10.1007/s11155-007-9039-4

4. Selected professional services:

• IEEE SA 1788: IEEE  Standard for Interval Arithmetic, Member for IEEE Interval Standard Working Group - P1788. 

• ABET Computing Accreditation Commission, commissioner (2016-2019) and program evaluator (2004-2019). 

• Chairperson of the Department of Computer Science at the University of Central Arkansas (2002-2013).

• Served as a panelist and/or committee member on NSF/CISE grant reviews.

• Served as co-chair and/or member of program/organizing committee for international professional conferences.

• Reviewer for professional journals and conferences.