Faculty Profile

Tozammel Hossain

Title
Assistant Professor
Department
Information Science
College
College of Information

    

Education

PhD, Virginia Tech, 2016.
Major: Computer Science and Applications
Dissertation Title: Couplings for Modeling Evolutionary Constraints and Improving Multiple Sequence Alignments
MS, Virginia Tech, 2014.
Major: Computer Science and Applications

Current Scheduled Teaching*

INFO 5707.003, Data Modeling for Information Professionals, Summer 2024
INFO 5707.001, Data Modeling for Information Professionals, Spring 2024
INFO 5707.003, Data Modeling for Information Professionals, Spring 2024
INFO 5707.004, Data Modeling for Information Professionals, Spring 2024
INFO 5707.005, Data Modeling for Information Professionals, Spring 2024
INFO 5707.020, Data Modeling for Information Professionals, Spring 2024
INFO 5900.735, Special Problems, Spring 2024
INFO 6900.735, Special Problems, Spring 2024

* 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*

INFO 5707.003, Data Modeling for Information Professionals, Fall 2023 Syllabus SPOT
INFO 5707.023, Data Modeling for Information Professionals, Fall 2023 SPOT
INFO 5910.004, Special Problems, Fall 2023
INFO 5707.003, Data Modeling for Information Professionals, Summer 10W 2023 SPOT
INFO 5502.021, Principles and Techniques for Data Science, Spring 2023 SPOT
INFO 5502.001, Principles and Techniques for Data Science, Fall 2022 SPOT

* 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
Hossain, T., Alam, F. (2023). Assessing the Effect of Non-Pharmaceutical Inventions on Infectious Disease Epidemics using Structural Causal Model. Multidisciplinary Information Research Symposium (MIRS).
Rostami, M., Hossain, T. (2023). Health and Wellness Influencers' Role in COVID-19 Misinformation: Social Influence Perspective. Multidisciplinary Information Research Symposium (MIRS).
Nguyen, H., Chen, H., Maganti, R., Hossain, T., Ding, J. Identifying High-quality Informative Comments for Software Review Summarization. IEEE AITest.
Karanam, L., Yi, K., Shae, Z., Chang, D., Shyu, C., Hossain, T. (2022). Continuous Anticipation of AKI in the ICU using Time-Gated LSTMs. AMIA Clinical Informatics Conference.
Morstatter, F., Galstyan, A., Satyukov, G., Benjamin, D., Abeliuk, A., Mirtaheri, M., Hossain, T. (2019). SAGE: A Hybrid Geopolitical Event Forecasting System. International Joint Conference on Artificial Intelligence.
Mirtaheri, M., Abu-El-Haija, S., Hossain, T., Morstatter, F., Galstyan, A. (2019). Tensor-based Method for Temporal Geopolitical Event Forecasting. International Conference on Machine Learning Workshop.
Journal Article
Benjamin, D., Morstatter, F., Abbas, A., Abeliuk, A., Atanasov, P., Bennett, S., Beger, A., Birari, S., Budescu, D., Catasta, M., Ferrara, E., Haravitch, L., Himmelstein, M., Hossain, T., Huang, Y., Jin, W., Joseph, R., Leskovec, J., Matsui, A., Mirtaheri, M., Ren, X., Satyukov, G., Sethi, R., Singh, A., Sosic, R., Steyvers, M., Szekely, P., Ward, M., Galstyan, A. Hybrid Forecasting of Geopolitical Events.
Hossain, T., Harutyunyan, H., Ning, Y., Kennedy, B., Ramakrishnan, N., Galstyan, A. (2022). Identifying geopolitical event precursors using attention-based LSTMs. Other.
P., Shyu, C., Putrd, K. T., Chen, H., Tsai, Y., Hossain, T., Jiang, W., Shae, Z. (2021). A Systematic Review of Federated Learning in the Healthcare Area: from the perspective of Data Properties and Applications. Other. 11(23), 11191.
Mosa, A., Thongmotai, C., Islam, H., Pal, T., Hossain, T., Mandhadi, V. (2021). Evaluation of Machine Learning Applications using Real-World EHR Data for Predicting Diabetes-Related Long-Term Complications. Journal of Business Analytics. 1-11.
Hossain, T., Gao, S., Kennedy, B., Galstyan, A., Natarajan, P. (2020). Forecasting violent events in the Middle East and North Africa using HMM and regularized autoregressive models. Other. 17(3), 269–283.
Chen, L., Hossain, T., Butler, P., Ramakrishnan, N., Prakash, B. (2016). Syndromic Surveillance of Flu on Twitter using Weakly Supervised Temporal Topic Models. Other. 30, 681–710.

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Hossain, T. (Principal), "Acute Kidney Injury Anticipation with Precursors in ICU patients," Sponsored by College of Information, University of North Texas, $4000 Funded. (2023 – Present).
Hossain, G. (Principal), Chang, H. (Co-Principal), Lund, B. (Co-Principal), Hossain, T. (Co-Principal), Hawamdeh, S. M. (Co-Principal), "Cyber-CREWS: Minority Community Cybersecurity Research, Educational Engagement, Workforce Development, and Security Best Practices," Sponsored by Department of Homeland Security, Federal, $999688 Funded. (July 20232028).
Ding, J. (Principal), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S. A. (Co-Principal), Chen, H. (Co-Principal), Hossain, T. (Co-Principal), Xiao, T. (Co-Principal), Feng, Y. (Co-Principal), Cleveland, A. D. (Co-Principal), Smith, D. L. (Co-Principal), Mankins, N. (Co-Principal), Booker, D. D. (Co-Principal), Carrillo, D. (Co-Principal), "NSF Includes ARISE Alliance Membership," Sponsored by Arizona State University, Other, $64800 Funded. (January 16, 2024January 15, 2027).
Sponsored Research
Lovell, S. T. (Principal), Thapa, B. (Co-Principal), Hossain, T. (Co-Principal), Zhen, C. (Co-Principal), Guinan, P. E. (Co-Principal), "Agroforestry for Climate Risk Management: Effectiveness of Windbreaks in Reducing Crop Loss In Midwest, USA," Sponsored by USDA, Federal, $234644 Funded. (January 2022December 2024).
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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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