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Dr. Zeenat Tariq

Clinical Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Zeenat.Tariq@unt.edu

Education

  • PhD, University of Missouri Kansas City, 2021
    Major: Computer Science
    Specialization: Data Science, Machine learning
    Dissertation: Design of Multi-Modality Deep Fusion Architecture for Deep Acoustic Analytics
  • MS, National University of Sciences and Technology, 2015
    Major: Computational Science and Engineering
    Specialization: Computer communication systems
    Dissertation: Energy Efficient Load Balancing in Computational Grid

Professional Positions

    Academic - Post-Secondary

  • Clinical Assistant Professor, University of North Texas. University of North Texas. (2021 - Present).
  • Graduate Teaching Assistant, University of Missouri-Kansas City. University of Missouri-Kansas City. (2018 - 2021).
  • Graduate Research Assistant, University of Missouri-Kansas City. University of Missouri-Kansas City. (2018 - 2018).
  • Lecturer, Muslim Youth University. Muslim Youth University. (2017 - 2017).
  • Visiting Lecturer, Bahria University. Bahria University. (2016 - 2016).

Professional Memberships

  • Institute of Electrical and Electronics Engineers. (2018 - 2023).

Development Activities

  • Self-Study Program (Amazon Web Services), Amazon Web Services, Online. United States of America. (May 2023).
  • Tutorial, Showcase Student Skills & Accomplishments with Canvas Folio (V), UNT. United States of America. (July 17, 2024 - July 17, 2024).
  • Conference Attendance, Grace Hopper Celebration of Women in Computing, AnitaB.org. United States of America. (2023 - 2023).
  • Other (Attending a talk of guest speaker), Internet of Things Innovations and Applications: from Connectivity to AI, University of North Texas. Denton,Texas,United States of America. (November 3, 2023 - November 3, 2023).
  • Self-Study Program, Tableau, D3.js, Online. United States of America. (2022 - 2022).
  • Tutorial, Teaching, Zybooks. Denton,Texas,United States of America. (2021 - 2022).
  • Conference Attendance, Grace Hopper Celebration of Women in Computing, AnitaB.org. United States of America. (September 27, 2021 - October 1, 2021).
  • Conference Attendance, IEEE International Conference on Big Data, (IEEE Big Data). United States of America. (December 2020 - December 2020).
  • Conference Attendance, IEEE International Conference on Bioinformatics and Biomedicine, (IEEE BIBM). United States of America. (December 2020 - December 2020).
  • Conference Attendance, 2020 ACM Richard Tapia Celebration of Diversity in Computing Conference, ACM. United States of America. (September 2020 - September 2020).
  • Conference Attendance, IEEE International Conference on Big Data, (IEEE Big Data). United States of America. (December 2019 - December 2019).
  • Conference Attendance, IEEE International Conference on Bioinformatics and Biomedicine, (IEEE BIBM). United States of America. (November 2019 - November 2019).
  • Conference Attendance, Grace Hopper Celebration of Women in Computing, AnitaB.org. United States of America. (October 2019 - October 2019).
  • Conference Attendance, IEEE International Conference on Big Data, (IEEE Big Data). United States of America. (December 2018 - December 2018).
  • Conference Attendance, IEEE International Smart Cities Conference, (ISC2-2018). United States of America. (September 2018 - September 2018).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 2100 - Foundations of Computing, 12 courses.
  • CSCE 4205 - Introduction to Machine Learning, 1 course.
  • CSCE 4290 - Introduction to Natural Language Processing, 1 course.
  • CSCE 4600 - Introduction to Operating Systems, 8 courses.
  • CSCE 5215 - Machine Learning, 5 courses.
  • CSCE 5290 - Natural Language Processing, 9 courses.
  • CSCE 5300 - Introduction to Big Data and Data Science, 11 courses.
  • CSCE 5320 - Scientific Data Visualization, 6 courses.
  • CSCE 5934 - Directed Study, 4 courses.

Non-Credit Instruction

  • Other (Directed Study), University of North Texas, 1 participants. (August 2023).
  • Uncompensated Instructional Overload, University of North Texas, (January 2023 - May 2023).
  • Review Course, UNT, (2022 - 2022).

Directed Student Learning

  • Directed Individual/Independent Study, "Multimodal detection of epilepsy with convolutional neural network," Computer Science and Engineering. (August 2023 - May 2023).
  • Directed Individual/Independent Study, "AI recognition of medicine based on patients health record," Computer Science and Engineering. (August 2022 - December 2022).
  • Directed Individual/Independent Study, "Multimodal olfactory EEG classification for epilepsy with deep neural networks," Computer Science and Engineering. (August 2022 - December 2022).
  • Directed Individual/Independent Study, "Text Summarization of COVID-19 Articles using various NLP methods," Computer Science and Engineering. (August 2022 - December 2022).
  • Directed Individual/Independent Study, "Text Summarization of COVID-19 Articles using various NLP methods," Computer Science and Engineering. (June 2022 - December 2022).
  • Other (Co-supervision), "Twitter Accounts Suggestion: PipelineTechnique SpaCy Entity Recognition," Computer Science and Engineering. (2022 - 2022).

Awards and Honors

  • Grace Hopper Celebration of women in computing, AnitaB.org. (September 2023).
  • Graduate Assistance Funds, UMKC Womens Council. (2019).
  • Grace Hopper Celebration of women in computing, AnitaB.org. (September 27, 2021).
  • UMKC SGS Travel Award, University of Missouri-Kansas City. (May 2018).
  • Richard Tapia Conference, Salesforce. (September 16, 2020).
  • The Brain Data challenge sponsored by IEEE, IEEE. (December 2019).
  • Balaji K. Memorial Trust, University of Missouri-Kansas City. (December 2018).
  • Grace Hopper Celebration of women in computing, AnitaB.org. (October 1, 2019).
  • The Brain Data challenge sponsored by IEEE, IEEE. (December 2018).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Buddana, H., Shah, S., Vakalapudi, R., Tariq, Z. Text Summarization of COVID-19 Articles using various NLP methods. IEEE.
  • Tariq, Z. Multimodal classification for epilepsy using a light-weight convolutional neural network.
  • Tariq, Z., Shah, S.K. Multimodal classification for epilepsy using a light-weight convolutional neural network.
  • Gillette, J., Shah, S., Tariq, Z., Algamdi, S. (2022). Data protections for minors with named entity recognition. IEEE. https://ieeexplore.ieee.org/abstract/document/10021086
  • Algamdi, S., Albanyan, A., Shah, S., Tariq, Z. (2022). Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition. IEEE Access. IEEE. https://ieeexplore.ieee.org/abstract/document/10020570
  • Tariq, Z., Shah, S., Lee, Y. (2021). Automatic Multimodal Heart Disease Classification using Phonocardiogram Signal. IEEE. https://ieeexplore.ieee.org/abstract/document/9378232
  • Shah, S., Tariq, Z., Lee, J., Lee, Y. (2021). Real-Time Machine Learning for Air Quality and Environmental Noise Detection. IEEE. https://ieeexplore.ieee.org/author/37088809485
  • Tariq, Z., Shah, S., Lee, Y. (2021). Multimodal Lung Disease Classification using Deep Convolutional Neural Network. IEEE. https://ieeexplore.ieee.org/abstract/document/9313208
  • Shah, S., Tariq, Z., Lee, Y. (2020). IoT based Urban Noise Monitoring in Deep Learning using Historical Reports. IEEE. https://ieeexplore.ieee.org/abstract/document/9006176
  • Tariq, Z., Shah, S., Lee, Y. (2020). Speech Emotion Detection using IoT based Deep Learning for Health Care. IEEE. https://ieeexplore.ieee.org/abstract/document/9005638
  • Tariq, Z., Shah, S., Lee, Y. (2020). Lung Disease Classification using Deep Convolutional Neural Network. IEEE. https://ieeexplore.ieee.org/abstract/document/8983071
  • Tariq, Z., Shah, S., Lee, Y. (2019). Smart 311 Request System with Automatic Noise Detection for Safe Neighborhood. IEEE. https://ieeexplore.ieee.org/abstract/document/8656773
  • Shah, S., Tariq, Z., Lee, Y. (2019). Audio IoT Analytics for Home Automation Safety. IEEE. https://ieeexplore.ieee.org/abstract/document/8622587

    • Journal Article

  • Nemani, R., Shah, S., Tariq, Z. Multimodal olfactory EEG classification for epilepsy with deep neural networks. Sensors.
  • Manjunath, A., Algamdi, S., Tariq, Z., Shah, S. An integrated cyber security and machine learning framework for additive manufacturing. Springer. https://www.springer.com/journal/10845
  • Manjunath, A., Gandu, K., Shah, S., Tariq, Z., Vadapalli, R. Identifying layer-wise defects in 3D-Printing. A way to improve Additive Manufacturing technology. Springer. https://www.springer.com/journal/10845
  • Tariq, Z., Shah, S.K., Lee, Y. (2022). Feature-Based Fusion Using CNN for Lung and Heart Sound Classification. MDPI. https://www.mdpi.com/1424-8220/22/4/1521
  • Shah, S., Tariq, Z., Lee, Y. (2021). Event-Driven Deep Learning for Edge Intelligence (EDL-EI). Sensors. https://www.mdpi.com/1424-8220/21/18/6023

Service

University Service

  • Student Org Advisor (Non-Professional Org), Departmental student organizations coordination. (October 2023 - Present).
  • Other (Workshop, Hackathon, Track etc. Organizer), Student contest coordination. (October 2023 - Present).
  • Other (Self Nomination for Committee member), Professional Hiring Committee. (August 2023 - Present).
  • Other (Self-Nomination for Committee member), Awards and Scholarships (Students) Committee. (2023 - Present).
  • Committee Member, Department Chair Search Committee. (October 2021 - Present).
  • Attendee, Meeting, Guest Speaker Talk. (2023 - 2023).
  • Other (Self Nomination for Committee Member), Professional PAC. (August 2023 - August 2023).
  • Attendee, Meeting, Teaching. (2021 - 2022).
  • Other (Teaching an extra course), Teaching. (January 2022 - May 2022).
  • Conference-Related, Representer. (2021 - 2021).