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Tozammel Hossain

Assistant Professor

University of North Texas

Department of Data Science

(940) 565-3314

Email: Ksmtozammel.Hossain@unt.edu

Education

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

Professional Positions

    Academic - Post-Secondary

  • Assistant Professor, University of North Texas. University of North Texas. (2022 - Present).
  • Assistant Research Professor, University of Missouri. University of Missouri. (2020 - 2022).
  • Assistant Teaching Professor, University of Missouri. University of Missouri. (2019 - 2020).

Teaching

Teaching Experience

    University of North Texas

  • INFO 5502 - Principles and Techniques for Data Science, 2 courses.
  • INFO 5707 - Data Modeling for Information Professionals, 13 courses.
  • INFO 5900 - Special Problems, 2 courses.
  • INFO 5910 - Special Problems, 1 course.
  • INFO 6900 - Special Problems, 4 courses.
  • INFO 6910 - Special Problems, 1 course.

Directed Student Learning

  • Dissertation Committee Member, "An Automated Software Engineering Framework using Generative AI," Information Science. (2023).
  • Doctoral Advisory Committee Chair, Information Science. (2023).
  • Doctoral Advisory Committee Chair, Information Science. (2023).
  • Doctoral Advisory Committee Chair, Information Science. (2023).
  • Dissertation Committee Member, "Cybersecurity Management over UAV and sensor networks data in precision agriculture," Information Science. (2022).

Research

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

  • Akash, R., Islam, R., Islam, S., Hossain, T. (2024). CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities. Digital Health (Sage).
  • Nussbaum, Y., Hossain, T., Kaifi, J., Warren, W., Shyu, C., Mitchem, J. (2024). Identifying Gene Expression Programs in Single-cell RNA-seq Data using Linear Correlation Explanation. Journal of Biomedical Informatics (Elsevier).
  • Ding, J., Chen, H., Feng, Y., Hossain, T. (2024). Applications of Deep Learning Techniques. Other. 13 (17) 3354. MDPI AG. https://doi.org/10.3390/electronics13173354
  • 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.

    • Other

  • Ding, J., Chen, H., Feng, Y., Hossain, T. (2024). Applications of Deep Learning Techniques. Other. 13 (17) 3354. MDPI.

Contracts, Grants, 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).
  • 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. (2023 - 2028).

    • 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. (2022 - 2024).

Service

University Service

  • Committee Member, Student Affairs Committee. (September 2022 - Present).
  • Faculty Advisor, INFO 5707 - Course Coordination. (August 2023 - December 2024).
  • Committee Member, Data Science Faculty Search Committee. (September 2023 - May 2024).

Professional Service

  • Editor, Guest Editor, Journal of Electronics Special Issue - Applications of Deep Learning Techniques. (2023 - Present).
  • Reviewer, Journal Article, Elsevier. (October 2022 - Present).
  • Reviewer, Conference Paper, AMIA 2024 Informatics Summit. (2023 - 2024).
  • Reviewer, Conference Paper, Association for the Advancement of Artificial Intelligence. (November 2023 - January 2024).
  • Committee Member, 2023 IEEE International Conference on Bioinformatics and Biomedicine. (2023 - 2023).
  • Reviewer, Conference Paper, AMIA 2023 Annual Symposium. (2023 - 2023).
  • Committee Member, IEEE International Conference on Bioinformatics and Biomedicine. (2023 - 2023).
  • Committee Member, Workshop on Vision-Based Understanding for Low-Resource Languages. (2023 - 2023).
  • Reviewer, Conference Paper, AMIA 2023 Clinical Informatics Conference. (January 2023 - March 2023).
  • Reviewer, Conference Paper, American Medical Informatics Association. (October 2022).