Sakib Shahriar

Publications

Generative AI and Large Language Models: A New Frontier in Reverse Vaccinology

Kadhim Hayawi, Sakib Shahriar, Hany Alashwal, and Mohamed Adel Serhani. Informatics in Medicine Unlocked, 2024 PAPER

Climate Data Imputation and Quality Improvement Using Satellite Data

Kadhim Hayawi, Sakib Shahriar, Hany Alashwal, and Mohamed Adel Serhani. Journal of Data Science and Intelligent Systems, 2024 PAPER

The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD.

Kadhim Hayawi, Sakib Shahriar, and Sujith Mathew. Journal of Information Science, 2024 PAPER

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development.

Nishith Reddy Mannuru, Sakib Shahriar, Zoë A. Teel et al. Information Development, 2023 PAPER

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle.

Sakib Shahriar, Sonal Allana, Mehdi Hazrati Fard, and Rozita Dara IEEE Access, 2023 PAPER

Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations.

Sakib Shahriar, and Kadhim Hayawi. Artificial Intelligence and Applications, 2023 PAPER

Classification of Arabic Poetry Emotions Using Deep Learning.

Sakib Shahriar, Noora Al Roken, and Imran Zualkernan. Computers, vol. 12, 5, p.89, 2023 PAPER

Machine Learning Approach for Smart Distribution Transformers Load Monitoring and Management System.

Jayroop Ramesh, Sakib Shahriar, A. R. Al-Ali, Ahmed Osman, Mostafa F. Shaaban. Energies, vol. 15, 7981, 2022 PAPER

GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network.

Sakib Shahriar. Displays, vol. 73, 102237, 2022 PAPER

How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion.

Sakib Shahriar, and Noora Al Roken. International Journal of Information Management Data Insights, vol. 2, 1, 2022 PAPER

Narrative Integrated Career Exploration Platform.

Sakib Shahriar, Jayroop Ramesh, Mohammed Towheed, Taha Ameen, Assim Sagahyroon, A. R. Al-Ali. Frontiers in Education, vol. 7, 798950, 2022 PAPER

Impacts of COVID-19 on Electric Vehicle Charging Behavior: Data Analytics, Visualization, and Clustering.

Sakib Shahriar, and A. R. Al-Ali. Applied System Innovation, vol. 5, 12, 2022 PAPER

ANTi-Vax: A Novel Twitter Dataset for COVID-19 Vaccine Misinformation Detection.

Kadhim Hayawi, Sakib Shahriar, Mohamed Serhani, Ikbal Taleb, and Sujith Mathew. Public Health, vol. 203, pp. 23–30, 2022 PAPER

Vaccine versus Variants (3Vs): Are the COVID-19 Vaccines Effective against the Variants? A Systematic Review.

Kadhim Hayawi, Sakib Shahriar, Mohamed Serhani, Hany Alashwal, and Mohammad Masud. Vaccines, vol. 9, 1305, 2021 PAPER

Prediction of EV Charging Behavior using Machine Learning.

Sakib Shahriar, A. R. Al-Ali, Ahmed Osman, Salam Dhou, and Mais Nijim. IEEE Access, vol. 9, pp. 111576-111586, 2021 PAPER

Classifying Maqams of Qur’anic Recitations Using Deep Learning.

Sakib Shahriar, and Usman Tariq. IEEE Access, vol. 9, pp. 117271-117281, 2021 PAPER

Impacts of brine disposal from water desalination plants on the physical environment in the Persian/Arabian Gulf.

Edmo Campos, Filipe Vieira, Georgenes Cavalcante, Björn Kjerfve, Mohamed Abouleish, Sakib Shahriar, Reem Mohamed, and Arnold Gordon. Environmental Research Communications, vol. 2, no. 12, p. 125003, 2020 PAPER

Machine learning approaches for EV charging behavior: A review.

Sakib Shahriar, A. R. Al-Ali, Ahmed Osman, Salam Dhou, and Mais Nijim. IEEE Access, vol. 8, pp. 168980-168993, 2020 PAPER

Refereed Conference Papers

Kadhim Hayawi, Sakib Shahriar, and Hany Alashwal. "Leveraging Nucleotide Dependencies for Improved mRNA Vaccine Degradation Prediction."

2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), pp. 1-6. IEEE, 2023, doi: 10.1109/AICCSA59173.2023.10479233.
Sakib Shahriar, Rozita Dara, and Kadhim Hayawi. “On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification.”

2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA), pp. 1-8, 2022, doi: 10.1109/AICCSA56895.2022.10017889.
Sakib Shahriar and Kadhim Hayawi. "NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks."

2022 7th International Conference on Machine Learning Technologies (ICMLT), pp. 255-259, 2022, doi: 10.1145/3529399.3529439.
Muhammad Arbab Arshad, Sakib Shahriar, and Assim Sagahyroon. "On the Use of FPGAs to Implement CNNs: A Brief Review."

2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE), pp. 230-236, 2020, doi: 10.1109/iCCECE49321.2020.9231243.
Felipe Vieira, Edmo J. Campos, Georgenes Cavalcante, Mohamed Abouleish, Sakib Shahriar, and Reem Mohamed. "Salt Budget in the Arabian Gulf and Effects of Water Desalination."

Ocean Sciences Meeting 2020. AGU, 2020.
Imran Zualkernan, Michel Pasquier, Sakib Shahriar, Mohammed Towheed, and Shilpa Sujith. "Using BLE beacons and machine learning for personalized customer experience in smart Cafés."

2020 International Conference on Electronics, Information, and Communication (ICEIC), pp. 1-6, 2020, doi: 10.1109/ICEIC49074.2020.9051187.

Education

University of Guelph

PhD in Computer Science
Research Interests: Large Language Models, Social Media Privacy, Ethical AI, Text Data Privacy

May 2022 – May 2026 (Expected)

American University of Sharjah

MSc in Computer Engineering
Thesis: “Machine Learning-Based Approach for EV Charging Behavior”

Jan 2019 – June 2021

BSc in Computer Engineering
Concentration: Artificial Intelligence and Internet of Things

Sep 2014 – Dec 2018

Teaching Experience

University of Guelph, School of Computer Science
Graduate Teaching Assistant
Supervising the instruction of Information Retrieval graduate course with grading and conducting lab sessions.

Guelph, ON, Canada September 2022 – Present

American University of Sharjah, Department of Computer Science & Engineering
Graduate Teaching Assistant
Supervised alongside faculty members in instruction of undergraduate labs, exams, and grading work. Courses supervised: Digital Systems and FPGA Design, Introduction to Programming.

Abu Dhabi, UAE June 2021 – June 2022

American University of Sharjah, Gulf Environments Research Institute
Graduate Research Assistant/Teacher Assistant
Worked with Dr. Edmo Campos’ research team on environmental impacts of desalination, including effects of desalination plants on Arabian/Persian Gulf temperature and marine lives. Assisted in the instruction of Communications Network undergraduate course.

Sharjah, UAE September 2018 - June 2020

Workshops Conducted

University of Guelph, McLaughlin Library
Writing the Literature Review Workshop for IDEV 3300
Conducted a 50-minute workshop for 30 undergraduates, focusing on research questions, organizing literature, and integrating sources. Utilized interactive discussions and multimedia tools to enhance engagement.

Guelph, ON, Canada
January 2024

Talks

The Use of AI for Effective Writing and Consultation

Professional Development session, McLaughlin Library, University of Guelph, 2024
Current Trends, Challenges, Solutions, and Research Gaps in Text Data Privacy

Doctoral Seminar Presentation, School of Computer Science, University of Guelph, 2023
Machine Learning-Based Approach for EV Charging Behavior: Current Trends and Prospects

Master Seminar, American University of Sharjah, 2021
A data visualization approach for the identification of faulty sensors in multiple ground weather station data

Research talk, R&D Department, Dubai Electricity and Water Authority (DEWA), 2020
Wildlife Management using Computer Vision

ADDATHON hackathon organized by ADDA (Runners up), 2019

Mentoring

Student Supervision And Mentorship

Ala Abu Hilal
Ala successfully defended his Master's thesis in December 2022. I mentored his research work alongside Dr. Kadhim Hayawi, who was the primary advisor.

Master of Science in Information Technology
Zayed University, Abu Dhabi, UAE

Reem Mohamed
Reem completed her undergraduate thesis in February 2020. I supervised her experiments alongside Dr. Edmo Campos to find the impacts of salinity on coral larvae. Her work resulted in two publications.

B. Sc. in Environmental Sciences
American University of Sharjah, Sharjah, UAE

Honors and Awards

School of Computer Science Summer Doctoral Scholarship, U of Guelph

April 2024
CSE Student Travel Grant awarded $1000 for attending the 19th International Conference on Computer Systems and Applications (2022)

January 2023
International Conference on Machine Learning Technologies (ICMLT) 2022 Best Paper Presentation Award

March 2022
2020/21 AUS Graduate Student Research, Scholarly and Creative Excellence Award, American University of Sharjah (AUS)

June 2021
CSE Graduate Research Excellence Award, Comp. Science & Eng. Dept, AUS, 2020

April 2021
Full Graduate Research Fellowship, Office of Graduate Studies, AUS

September 2019 – June 2021
Graduate Teaching Assistantship – Comp. Science & Eng. Dept., AUS

January 2019 – June 2019
ODAA Pioneer Scholarship - AUS Alumni Pioneer

September 2018 – December 2018
Hamid Jafer Scholarship, AUS

September 2017 – June 20018
American University of Sharjah Undergraduate Scholarship, AUS

September 2014 – December 2018
Dean’s List Scholarship, AUS

January 2017 – September 2017

Sakib Shahriar

Generative AI and Large Language Models: A New Frontier in Reverse Vaccinology

Climate Data Imputation and Quality Improvement Using Satellite Data

The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD.

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development.

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle.

Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations.

Classification of Arabic Poetry Emotions Using Deep Learning.

Machine Learning Approach for Smart Distribution Transformers Load Monitoring and Management System.

GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network.

How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion.

Narrative Integrated Career Exploration Platform.

Impacts of COVID-19 on Electric Vehicle Charging Behavior: Data Analytics, Visualization, and Clustering.

ANTi-Vax: A Novel Twitter Dataset for COVID-19 Vaccine Misinformation Detection.

Vaccine versus Variants (3Vs): Are the COVID-19 Vaccines Effective against the Variants? A Systematic Review.

Prediction of EV Charging Behavior using Machine Learning.

Classifying Maqams of Qur’anic Recitations Using Deep Learning.

Impacts of brine disposal from water desalination plants on the physical environment in the Persian/Arabian Gulf.

Machine learning approaches for EV charging behavior: A review.

Kadhim Hayawi, Sakib Shahriar, and Hany Alashwal. "Leveraging Nucleotide Dependencies for Improved mRNA Vaccine Degradation Prediction."

Sakib Shahriar, Rozita Dara, and Kadhim Hayawi. “On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification.”

Sakib Shahriar and Kadhim Hayawi. "NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks."

Muhammad Arbab Arshad, Sakib Shahriar, and Assim Sagahyroon. "On the Use of FPGAs to Implement CNNs: A Brief Review."

Felipe Vieira, Edmo J. Campos, Georgenes Cavalcante, Mohamed Abouleish, Sakib Shahriar, and Reem Mohamed. "Salt Budget in the Arabian Gulf and Effects of Water Desalination."

Imran Zualkernan, Michel Pasquier, Sakib Shahriar, Mohammed Towheed, and Shilpa Sujith. "Using BLE beacons and machine learning for personalized customer experience in smart Cafés."

University of Guelph

American University of Sharjah

The Use of AI for Effective Writing and Consultation

Current Trends, Challenges, Solutions, and Research Gaps in Text Data Privacy

Machine Learning-Based Approach for EV Charging Behavior: Current Trends and Prospects

A data visualization approach for the identification of faulty sensors in multiple ground weather station data

Wildlife Management using Computer Vision

School of Computer Science Summer Doctoral Scholarship, U of Guelph

CSE Student Travel Grant awarded $1000 for attending the 19th International Conference on Computer Systems and Applications (2022)

International Conference on Machine Learning Technologies (ICMLT) 2022 Best Paper Presentation Award

2020/21 AUS Graduate Student Research, Scholarly and Creative Excellence Award, American University of Sharjah (AUS)

CSE Graduate Research Excellence Award, Comp. Science & Eng. Dept, AUS, 2020

Full Graduate Research Fellowship, Office of Graduate Studies, AUS

Graduate Teaching Assistantship – Comp. Science & Eng. Dept., AUS

ODAA Pioneer Scholarship - AUS Alumni Pioneer

Hamid Jafer Scholarship, AUS

American University of Sharjah Undergraduate Scholarship, AUS

Dean’s List Scholarship, AUS