Sayed K. Shah
University of North Texas
Computer Science and Engineering
Email:

Education

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

Professional Positions

Academic - Post-Secondary
Clinical Assistant Professor, University of North Texas. (August 23, 2021 – Present).
Assistant Professor, Missouri Valley College. (August 1, 2020 – July 31, 2021).
Teaching Assistant, University of Missouri-Kansas City. (June 1, 2018 – July 31, 2020).
Assistant Professor, Bahria University Islamabad. (August 25, 2014 – December 31, 2017).
Lecturer, COMSATS Abottabad. (February 1, 2014 – August 24, 2014).

Professional Memberships

Member, British Computing Society (The Chartered Institute for IT). (November 1, 2012 – December 31, 2023).

Member, The Institute of Electrical and Electronics Engineers. (January 18, 2018 – December 31, 2022).

Development Activities Attended

Seminar,"Internet of Things Innovations and Applications: from Connectivity to Al," University of North Texas, Denton, Texas, United States of America. (November 3, 2023 – Present).

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 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, 5 courses.
CSCE 5290, Natural Language Processing, 8 courses.
CSCE 5310, Methods in Empirical Analysis, 3 courses.
CSCE 5320, Scientific Data Visualization, 5 courses.
CSCE 5430, Software Engineering, 2 courses.
CSCE 5934, Directed Study, 4 courses.

Non-Credit Instruction

Other, 12. (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 – Present).

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 – Present).

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 – Present).

Doctoral Advisory Committee Member,"Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition," Computer Science and Engineering. (January 21, 2022 – Present).

Doctoral Advisory Committee Member,"Accelerating sparse DNN computations by offloading memory indexing computations to a programmable accelerator," Computer Science and Engineering. (August 1, 2021 – Present).

Doctoral Advisory Committee Member,"INVESTIGATING THE RELATIONS BETWEEN HATEFUL AND COUNTER HATE CONTENTS ON SOCIAL MEDIA," Computer Science and Engineering. (August 25, 2020 – Present).

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 – December 31, 2022).

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

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 – ).

Awards and Honors

Personal Development, Missouri Valley College. (August 1, 2020 – July 31, 2021).

Balaji K. Memorial Trust, University of Missouri-Kansas City. (December 16, 2019 – December 20, 2020).

Richard Tapia Conference, Dolby Digital Inc.. (September 16, 2020 – September 19, 2020).

The Brain Data challenge sponsored by IEEE, IEEE. (December 12, 2018 – December 22, 2019).

UMKC SGS travel award, University of Missouri-Kansas City. (December 16, 2019 – December 19, 2019).

International Excellence Scholarship, Queen Mary University of London. (November 21, 2012 – October 30, 2014).

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, Islamic Center of Frisco, Frisco, Texas. (August 2021 – Present).