Skip to main content

Sayed K. Shah

Clinical Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Sayed.Shah@unt.edu

Education

  • PhD, University of Missouri-Kansas City, 2021
    Major: Computer Science
    Specialization: Data Science, Edge Computing, Machine Learning, and Deep Learning
    Dissertation: AI-Based Edge Computing System for Event Based Analytics
  • MS, Queen Mary University of London, 2013
    Major: Computer Science
    Specialization: Networks/PlanetLab
    Dissertation: Geo-Distributed Data Stores

Professional Positions

    Academic - Post-Secondary

  • Clinical Assistant Professor, University of North Texas. University of North Texas. (2021 - Present).
  • Assistant Professor, Missouri Valley College. Missouri Valley College. (2020 - 2021).
  • Teaching Assistant, University of Missouri-Kansas City. University of Missouri-Kansas City. (2018 - 2020).
  • Assistant Professor, Bahria University Islamabad. Bahria University Islamabad. (2014 - 2017).
  • Lecturer, COMSATS Abottabad. COMSATS Abottabad. (2014 - 2014).

Professional Memberships

  • British Computing Society (The Chartered Institute for IT). (November 1, 2012 - December 31, 2023).
  • The Institute of Electrical and Electronics Engineers. (January 18, 2018 - December 31, 2022).

Development Activities

  • Seminar, Internet of Things Innovations and Applications: from Connectivity to Al, University of North Texas. Denton,Texas,United States of America. (November 3, 2023).
  • Seminar, Non-Tenured Faculty Training and Social Interactions at UNT, UNT. United States of America. (2022 - 2022).
  • Conference Attendance, 2022 IEEE International Conference on Big Data, IEEE. Osaka,Japan. (December 17, 2022 - December 20, 2022).
  • Seminar, CAAAM-ASTM Partnership, Center for Agile and Adaptive Additive Manufacturing (CAAAM). Texas,United States of America. (January 2022 - January 2022).
  • Conference Attendance, 2020 IEEE International Conference on Big Data, IEEE. United States of America. (December 2020 - December 2020).
  • Conference Attendance, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE. 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, 2019 IEEE International Conference on Big Data, IEEE. Los Angeles,California,United States of America. (December 2019 - December 2019).
  • Conference Attendance, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE. San Diego,California,United States of America. (November 2019 - November 2019).
  • Conference Attendance, 2018 IEEE International Conference on Big Data, IEEE. Seattle,Washington,United States of America. (December 2018 - December 2018).
  • Conference Attendance, IEEE International Smart Cities Conference (ISC2 2018), IEEE. Kansas City,Missouri,United States of America. (September 2018 - September 2018).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 1035 - Computer Programming I, 2 courses.
  • CSCE 3612 - Embedded Systems Design, 3 courses.
  • CSCE 4010 - Social Issues in Computing, 1 course.
  • CSCE 4290 - Introduction to Natural Language Processing, 2 courses.
  • CSCE 4890 - Directed Study, 1 course.
  • CSCE 5210 - Fundamentals of Artificial Intelligence, 1 course.
  • CSCE 5214 - Software Development for Artificial Intelligence, 1 course.
  • CSCE 5215 - Machine Learning, 1 course.
  • CSCE 5222 - Feature Engineering, 6 courses.
  • CSCE 5290 - Natural Language Processing, 7 courses.
  • CSCE 5310 - Methods in Empirical Analysis, 4 courses.
  • CSCE 5320 - Scientific Data Visualization, 8 courses.
  • CSCE 5430 - Software Engineering, 2 courses.
  • CSCE 5934 - Directed Study, 4 courses.

Non-Credit Instruction

  • Other (Helping students in learning python programming), 12 participants. (2022 - 2023).

Directed Student Learning

  • Directed Individual/Independent Study, "Applying Natural Language Techniques for identification of anomalies in arabic language for the words which has multiple meanings," Computer Science and Engineering. (August 28, 2023).
  • Master's Thesis Committee Co-Chair, "APPROACH TO SKILLS EXTRACTION AND COMPARISON: DETERMINING LEARNING OUTCOME ALIGNMENT BETWEEN ACADEMIA AND INDUSTRY," Computer Science and Engineering. (January 2023).
  • Doctoral Advisory Committee Member, "Identifying layer-wise defects in 3D-Printing. A way to improve Additive Manufacturing technology," Computer Science and Engineering. (January 21, 2022).
  • Doctoral Advisory Committee Member, "Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition," Computer Science and Engineering. (January 21, 2022).
  • Doctoral Advisory Committee Member, "Accelerating sparse DNN computations by offloading memory indexing computations to a programmable accelerator," Computer Science and Engineering. (August 1, 2021).
  • Doctoral Advisory Committee Member, "INVESTIGATING THE RELATIONS BETWEEN HATEFUL AND COUNTER HATE CONTENTS ON SOCIAL MEDIA," Computer Science and Engineering. (August 25, 2020).
  • Directed Individual/Independent Study, "Implementing Security protocols for Additive manufacturing 3D printers," Computer Science and Engineering. (June 1, 2022 - December 31, 2022).
  • Directed Individual/Independent Study, "Data protections for minors with named entity recognition," Computer Science and Engineering. (January 18, 2022 - December 31, 2022).
  • Directed Individual/Independent Study, "Defect Detection in Powder Bed Additive Manufacturing with Layer-wise Imaging Dataset," Computer Science and Engineering. (January 21, 2022 - June 30, 2022).

Awards and Honors

  • Associate Faculty, Center for Agile and Adaptive Additive Manufacturing, UNT. (October 1, 2021).
  • Personal Development, Missouri Valley College. (August 1, 2020).
  • Balaji K. Memorial Trust, University of Missouri-Kansas City. (December 16, 2019).
  • Richard Tapia Conference, Dolby Digital Inc.. (September 16, 2020).
  • The Brain Data challenge sponsored by IEEE, IEEE. (December 12, 2018).
  • UMKC SGS travel award, University of Missouri-Kansas City. (December 16, 2019).
  • International Excellence Scholarship, Queen Mary University of London. (November 21, 2012).

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., 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

Presentations Given

    Demonstration

  • Shah, S.K. (Chair), CAAAM - Department of Manufacturing, Enabling 3D printing with Cyber Security to ensure correct print of CAD Tempelate, Center for Agile and Adaptive Additive Manufacturing, UNT, United States of America. (2022).

Service

University Service

  • Committee Chair, Departmental student organizations coordination. (October 2023 - Present).
  • Committee Member, Student Contest Coordination. (October 2023 - Present).
  • Committee Member, Grades Appeals Committee. (January 2022 - Present).
  • Committee Member, Grades Appeal Committee. (August 30, 2021 - February 1, 2023).

Public Service

  • Other (Volunteer), Islamic Center of Frisco. Frisco, Texas. (August 2021 - Present).