Dr. Zeenat Tariq
University of North Texas
Computer Science and Engineering
Email:

Education

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

Professional Positions

Academic - Post-Secondary
Graduate Teaching Assistant, University of Missouri-Kansas City. (July 2018 – July 2021).
Graduate Research Assistant, University of Missouri-Kansas City. (January 16, 2018 – June 1, 2018).
Lecturer, Muslim Youth University. (March 1, 2017 – December 31, 2017).
Visiting Lecturer, Bahria University. (February 2016 – June 2016).

Professional Memberships

Member, Institute of Electrical and Electronics Engineers. (2018 – 2023).

Development Activities Attended

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 4600, Introduction to Operating Systems, 8 courses.
CSCE 5290, Natural Language Processing, 4 courses.
CSCE 5300, Introduction to Big Data and Data Science, 7 courses.
CSCE 5320, Scientific Data Visualization, 3 courses.
CSCE 5934, Directed Study, 2 courses.

Directed Student Learning

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,"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 27, 2021 – October 1, 2021).

Research

Published Intellectual Contributions

Conference Proceeding
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
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

Awards and Honors

Graduate Assistance Funds, UMKC Womens Council. (2019 – 2021).

UMKC SGS Travel Award, University of Missouri-Kansas City. (May 2018 – December 2020).

Richard Tapia Conference, Salesforce. (September 16, 2020 – September 19, 2020).

The Brain Data challenge sponsored by IEEE, IEEE. (December 2019 – December 2019).

Balaji K. Memorial Trust, University of Missouri-Kansas City. (December 2018 – December 2019).

Grace Hopper Celebration of women in computing, AnitaB.org. (October 1, 2019 – October 4, 2019).

The Brain Data challenge sponsored by IEEE, IEEE. (December 2018 – December 2018).

Service

University Service

Committee Member, Department Chair Search Committee. (October 2021 – Present).