Faculty Profile

Marty O'Neill

Title
Teaching Fellow
Department
Biological Sciences
College
College of Science
Adjunct Faculty
Computer Science and Engineering
College of Engineering

    

Education

PhD, University of North Texas, 2014.
Major: Computer Science
Degree Specialization: Computational Analysis of Biological Emergency Response Plans: A Computational Methodology for Addressing Differentiated Access in Response Plan Design
MS, University of North Texas, 2009.
Major: Computer Science
Degree Specialization: Computational Epidemiology - Analyzing Exposure Risk: A Deterministic, Agent-Based Approach
Certificate, University of North Texas, 2008.
Major: Geographic Information Systems
BS, University of North Texas, 2003.
Major: Computer Science

Current Scheduled Teaching*

No current or future courses scheduled.

* 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 4355.001, Database Administration, Summer 10W 2023 Syllabus SPOT
CSCE 4355.001, Database Administration, Summer 8W2 2022 Syllabus SPOT
CSCE 3110.021, Data Structures and Algorithms, Summer 8W1 2021 Syllabus SPOT
CSCE 4355.002, Database Administration, Summer 5W1 2021 Syllabus SPOT
CSCE 4600.001, Introduction to Operating Systems, Spring 2021 Syllabus SPOT
CSCE 4600.002, Introduction to Operating Systems, Spring 2021 Syllabus SPOT
CSCE 4600.202, Introduction to Operating Systems, Spring 2021 SPOT
CSCE 4600.203, Introduction to Operating Systems, Spring 2021 SPOT
CSCE 4600.281, Introduction to Operating Systems, Spring 2021 SPOT
CSCE 4600.282, Introduction to Operating Systems, Spring 2021 SPOT
CSCE 4600.283, Introduction to Operating Systems, Spring 2021 SPOT
CSCE 4355.001, Database Administration, Fall 2020 Syllabus SPOT
CSCE 4355.026, Database Administration, Summer 5W2 2020 Syllabus SPOT
CSCE 4600.001, Introduction to Operating Systems, Spring 2020 Syllabus
CSCE 4600.002, Introduction to Operating Systems, Spring 2020
CSCE 4600.201, Introduction to Operating Systems, Spring 2020
CSCE 4600.202, Introduction to Operating Systems, Spring 2020
CSCE 4600.203, Introduction to Operating Systems, Spring 2020
CSCE 4600.204, Introduction to Operating Systems, Spring 2020
CSCE 4600.205, Introduction to Operating Systems, Spring 2020
CSCE 4600.206, Introduction to Operating Systems, Spring 2020
CSCE 4355.001, Database Administration, Fall 2019 Syllabus SPOT
CSCE 2100.001, Foundations of Computing, Fall 2019 Syllabus SPOT
CSCE 2100.201, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.202, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.203, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.204, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.205, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.206, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.207, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.208, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.209, Foundations of Computing, Fall 2019 SPOT
CSCE 2100.210, Foundations of Computing, Fall 2019 SPOT
BIOL 4820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
BIOL 5820.002, Computational Epidemiology, Spring 2019 SPOT
CSCE 4820.002, Computational Epidemiology, Spring 2019 Syllabus SPOT
CSCE 4820.201, Computational Epidemiology, Spring 2019 Syllabus SPOT
CSCE 5820.002, Computational Epidemiology, Spring 2019 SPOT
CSCE 4355.001, Database Administration, Fall 2018 Syllabus SPOT
CSCE 4355.001, Database Administration, Fall 2017 Syllabus SPOT
CSCE 5640.002, Operating System Design, Fall 2016 SPOT
CSCE 6350.021, Advanced Topics in Database Design, Summer 10W 2016 SPOT
CSCE 3110.001, Data Structures and Algorithms, Spring 2016 Syllabus SPOT
CSCE 4600.003, Introduction to Operating Systems, Spring 2016 Syllabus SPOT
CSCE 3110.001, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
CSCE 3110.002, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
CSCE 3110.003, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
CSCE 3110.004, Data Structures and Algorithms, Fall 2015 Syllabus SPOT
CSCE 3110.021, Data Structures and Algorithms, Summer 10W 2015 Syllabus SPOT
CSCE 3110.001, Data Structures and Algorithms, Spring 2015 Syllabus
CSCE 1020.001, Program Development, Spring 2015 Syllabus
CSCE 1020.301, Program Development, Spring 2015
CSCE 1020.302, Program Development, Spring 2015
CSCE 1020.303, Program Development, Spring 2015
CSCE 1020.304, Program Development, Spring 2015
CSCE 1020.305, Program Development, Spring 2015
CSCE 1020.306, Program Development, Spring 2015
CSCE 1020.307, Program Development, Spring 2015
CSCE 1020.002, Program Development, Fall 2014 Syllabus
CSCE 1030.001, Computer Science I, Spring 2010
CSCE 1030.001, Computer Science I, Fall 2009
CSCE 1030.021, Computer Science I, Summer 10W 2009
CSCE 1030.301, Computer Science I, Summer 10W 2009
CSCE 1030.001, Computer Science I, Spring 2009
CSCE 1030.001, Computer Science I, Fall 2008
CSCE 1030.021, Computer Science I, Summer 10W 2008
CSCE 1030.301, Computer Science I, Summer 10W 2008
CSCE 1010.002, Introduction to Computer Science, Spring 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

Conference Proceeding
Qian, W., Bhowmick, S., Mikler, A. R., O'Neill II, M., Ramisetty-Mikler, S. (2020). A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks. International Conference on Computational Science 2020.
Gwalani, H., O'Neill, M. J., Alam, T., Mikler, A. R., Banerjee, R. (2019). Compositional Analysis for Metallic Systems: Sampling Methods. 2019, 303 - 316. Industrial Conference on Data Mining (ICDM) 2019.
Gwalani, H., Mikler, A. R., Ramisetty-Mikler, S., O'Neill II, M. (2017). Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans. Proceedings of Enviroinfo 2016, Advances and New Trends in Environmental Informatics 2017.
Jimenez, T., Tiwari, C., Mikler, A. R., O'Neill II, M. (2012). Maps, Rates, and Fuzzy Mountains: Generating Meaningful Risk Maps. Philadelphia, PA: IEEE International Conference on Bioinformatics and Biomedicine.
O'Neill II, M., Mikler, A. R., Schneider, T. (2011). An Extensible Software Architecture to Facilitate Disaster Response Planning. Las Vegas, NV: Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology.
Schneider, T., Mikler, A. R., O'Neill II, M. (2009). Computational Tools for Evaluating Bioemergency Contingency Plans. New Forest: Proceedings of the 2009 International Conference on Disaster Management.
Schneider, T., Mikler, A. R., O'Neill II, M. (2009). Analyzing Response Feasibility for Bioemergencies. Shanghai: Proceedings of the 2009 International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing.
Dantu, R., Abbas, K., O'Neill II, M., Mikler, A. R. (2004). Data Modeling of Environmental Sensor Networks. EEE GLOBECOM Workshop on Adaptive Wireless Networks.
Journal Article
Qian, W., Bhowmick, S., O'Neill, M., Ramisetty-Mikler, S., Mikler, A. R. (2021). Applying a Probabilistic Infection Model for studying contagion processes in contact networks. Journal of Computational Science. 54, . Elsevier. https://www.sciencedirect.com/science/article/abs/pii/S1877750321001046?via%3Dihub
Pan, F., Nagaoka, L., Wolverton, S. J., Atkinson, S. F., Kohler, T. A., O'Neill II, M. (2021). A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation. Atmosphere. 12(2), 22 pgs..
Gwalani, H., Gwalani, B., O'Neill, M. J., Mikler, A. R., Banerjee, R. (2019). Simulation of solute clusters in metallic systems. 27(8), 25. IOP Publishing.
King, J. M., Tiwari, C., Mikler, A. R., O'Neill, M. J. (2018). Challenges of Designing and Implementing High Consequence Infectious Disease Response. Other. 1--4. Cambridge University Press.
Indrakanti, S., Mikler, A. R., O'Neill, M. (2016). Quantifying Access Disparities in Response Plans. PLOS One. Denton:.
Ramisetty-Mikler, S., Mikler, A. R., O'Neill, M. J., Komatz, J. (2015). Conceptual framework and quantification of population vulnerability for effective emergency response planning.. Other. 13(3), 227--238.
Ramisetty-Mikler, S., Mikler, A. R., O'Neill, M. J., Komatz, J. (2015). Conceptual framework and quantification of population vulnerability for effective emergency response planning.. Journal of Emergency Management. 13(3), 227-38.
O'Neill II, M., Mikler, A. R., Indrakanti, S., Tiwari, C., Jimenez, T. (2014). RE-PLAN: An Extensible Software Architecture to Facilitate Disaster Response Planning. IEEE Transactions on Systems, Man and Cybernetics: Systems.
Cleveland, A. D., Pan, D., Chen, J., Yu, C., Philbrick, J., O'Neill II, M. (2008). Analysis of the Health Information Needs and Health Related Internet Usage of a Chinese Population in the United States.

Awarded Grants

Contracts, Grants and Sponsored Research

Contract
O'Neill II, M. (Principal), "Integrating RE-PLAN into Juvare Platform (Task Order 21-0124 under Master Research Agreement MRA-21-0124))," Sponsored by EMSystems LLC, Private, $112766 Funded. (February 8, 2021August 7, 2022).
Mikler, A. R. (Principal), O'Neill, M. (Co-Principal), "(Contract Amended to Provide Additional Funding) Provide Computational Support in Preparation for a Medical Countermeasure Dispensing Exercise in Los Angeles County," Sponsored by LA County, Local, $13440 Funded. (March 19, 2020June 30, 2020).
Mikler, A. R. (Principal), O'Neill, M. J. (Co-Principal), "LA-County Web-REPLAN (Support for Table-Top Exercise)," Sponsored by Los Angeles County Public Health Department, Regional, $26016 Funded. (September 30, 2019June 30, 2020).
Mikler, A. R. (Principal), O'Neill, M. J. (Co-Principal), "Development and deployment of computational methods to facilitate response planning for POD placement and distribution of Medical Counter Measures from Regional RSS sites to PODs in Texas DSHS Region 6/5S," Sponsored by Texas Department of State Health Services, Regional, $55735 Funded. (July 1, 2019November 30, 2019).
Mikler, A. R. (Principal), O'Neill, M. J. (Co-Principal), Tiwari, C. (Co-Principal), "RE-PLAN RSS Year-1," Sponsored by TxDSHS, State, $211017 Funded. (July 1, 2016June 30, 2017).
Grant - Research
O'Neill, M. J. (Principal), Mikler, A. (Co-Principal), "RAMP: Risk Assessment, Mapping and Planning (Phase 2)," Sponsored by CDC Contract No. 200-2016- 92434 - Subcontract from Los Angeles County Department of Public Health, State, $279965 Funded. (July 1, 2018September 25, 2019).
O'Neill, M. J. (Principal), Mikler, A. R. (Co-Principal), "RAMP: Risk Assessment, Mapping and Planning (Phase 1)," Sponsored by CDC Contract No. 200-2016- 92434 - Subcontract from Los Angeles County Department of Public Health, State, $95002 Funded. (October 23, 2017July 31, 2019).
Mikler, A., O'Neill, M. J., "Development and deployment of computational methods to facilitate response planning for POD placement and distribution of Medical Counter Measures from Regional RSS sites to PODs in Texas DSHS Region 6/5S (Phase 2)," Sponsored by Texas DSHS, State, $208712 Funded. (October 22, 2018June 30, 2019).
Mikler, A., O'Neill, M. J., "Development and deployment of computational methods to facilitate response planning for POD placement and distribution of Medical Counter Measures from Regional RSS sites to PODs in Texas DSHS Region 6/5S (Phase 1)," Sponsored by Texas DSHS, State, $209783 Funded. (March 13, 2018June 30, 2019).
Mikler, A., Tiwari, C., Ramisetty-Mikler, S., O'Neill, M. J., "Minimizing Access Disparities in Bio-Emergency Response Planning," Sponsored by National Institutes of Health (NIH), Federal, $307099 Funded. (September 10, 2017June 30, 2019).
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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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