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
- 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).
Academic - Post-Secondary
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
- 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.
University of North Texas
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
- 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
- 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
Conference Proceeding
Journal Article
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).