Hello
I'm Arslan Bisharat
and I’m currently studying Master of Science in Data Science (Thesis Track) at Loyola University Chicago. I’m fortunate to be working under the guidance of Dr. Yasin Silva and Dr. Mohammed Abuhamad on a project that’s close to my heart – BullyBlocker.
At BullyBlocker, I’m not just dealing with data and algorithms. I’m tackling a real-world problem: cyberbullying. My goal is to create tools that not only detect bullying online but also help stop it. It’s about creating a positive online environment where everyone feels safe and respected.
I am also associated with AI and Secure Computing Research Lab at Loyola University Chicago.
My research interests are: AI for Social Good, Cybersecurity, Data Science, Machine Learning, Natural Language Processing, and Neural Networks.
News: I’m currently exploring Ph.D. opportunities in Computer Science. If you have any leads or recommendations, I’d love to hear from you. Please feel free to get in touch!
Education
Education
Publications
Publications
Experience
Experience
Graduate Research Assistant (BullyBlocker)
Loyola University Chicago · Part-time
Aug 2023 – Present · 1 yr 1 mo
Chicago, Illinois, United States · On-site
Read MoreLess
● Focusing on building machine learning models to detect and prevent cyberbullying, aiming to create safer online spaces by identifying harmful behaviors and content on social media platforms.
● Conducting thorough evaluations of model robustness, enhancing the models’ resilience to various challenges.
● Collaborating with interdisciplinary teams to translate research findings into practical insights, contributing to academic publications and conference presentations
Research Scholar
MLC Research Lab
Sep 2021 – Present
Okara, Pakistan
Read MoreLess
- Developed a malware detection model for IIoT devices using XGBoost and GLCM techniques, enhancing detection accuracy
and computational efficiency in cybersecurity applications. - Designed a deep features-based approach using a modified ResNet50 and Gradient Boosting for visual sentiment classification,
significantly improving classification performance in multimedia data analysis.
Research Scholar
University of Birmingham
Jan 2023 – July 2023
Birmingham, UK
Read MoreLess
- Developed a 1D-CNN architecture for IIoT cybersecurity, achieving 99.90% accuracy and rapid data processing, outperforming
existing models. - Created a gradient-boosting algorithm for neonatal sleep research, improving classification accuracy and advancing biomedical
applications.
Research Intern
Air University
April 2022 – Aug 2022
Islamabad, Pakistan
Read MoreLess
- Developed an AI-based system for autonomous vehicles, achieving 85.5% accuracy in real-time object recognition with
YOLOv8. - Collaborated in a multidisciplinary team to solve complex challenges in AI and Data Science, emphasizing the importance of
teamwork.
Full-stack Developer
Contco. · Full-Timecontco. · Full-time
Nov 2021 – Jun 2023 · 1 yr 8 mos
Remote · Remote
Read MoreLess
● Led end-to-end development of a critical web application using TypeScript, React.js, and Redux.js, enhancing client business operations efficiency by 30%.
● Collaborated with a multidisciplinary team of developers, designers, and product managers, contributing to the successful and on-time delivery of 6 major projects.
● Established a comprehensive testing strategy using Jest and React Testing Library, improving code reliability, reducing production bugs by 40%, and boosting team velocity by minimizing troubleshooting time.
Code Reviewer
Microverse · Freelance
May 2020 – May 2023 · 3 yrs 1 mo
United States · Remote
Read MoreLess
● Completed 7000+ code reviews of real-world HTML, CSS, Ruby, Ruby on Rails, JavaScript, and React & Redux projects, helping junior software developers to improve their code quality and their understanding of core concepts.
● Created merge requests to improve the projects’ requirements, provide better guidance to the students, and upgrade the quality of the reviews.
University Of the People
Adjunct Instructor Pasadena, CA
March 2023 – Present · 1 yr 1 mo
Read MoreLess
• Taught CS1101 Introduction to Programming Languages, UNIV1001 Online Education Strategies, and CS1102 Programming1, combining lectures, hands-on labs, and digital tools to enhance student learning.
• Guided students in mastering foundational and advanced concepts in Python and Java, as well as effective strategies for online
education.
Graduate Research Assistant (BullyBlocker)
Loyola University Chicago · Part-time
Aug 2023 – Present · 1 yr 4 mo
Chicago, Illinois, United States · On-site
Read MoreLess
- Evaluated and fine-tuned transformer models, including RoBERTa, BERT, and GPT-2, for detecting LGBTQ+-related
cyberbullying, achieving an F1-score of 0.733 with RoBERTa using advanced oversampling techniques like SMOTE and
ADASYN. - Currently working on Phase 2 of the project to integrate multimodal approaches, including CLIP and Hierarchical Attention
Networks (HAN), along with temporal information and graph learning techniques, to improve detection accuracy and model
robustness in capturing complex bullying patterns. - Engaged in research on enhancing the privacy and security of machine learning models through federated learning,
implementing Central Differential P
Research Scholar
MLC Research Lab
Sep 2021 – Present
Okara, Pakistan
Read MoreLess
- Developed a malware detection model for IIoT devices using XGBoost and GLCM techniques, enhancing detection accuracy
and computational efficiency in cybersecurity applications. - Designed a deep features-based approach using a modified ResNet50 and Gradient Boosting for visual sentiment classification,
significantly improving classification performance in multimedia data analysis.
Research Scholar
University of Birmingham
Jan 2023 – July 2023
Birmingham, UK
Read MoreLess
- Developed a 1D-CNN architecture for IIoT cybersecurity, achieving 99.90% accuracy and rapid data processing, outperforming
existing models. - Created a gradient-boosting algorithm for neonatal sleep research, improving classification accuracy and advancing biomedical
applications.
Research Intern
Air University
April 2022 – Aug 2022
Islamabad, Pakistan
Read MoreLess
- Developed an AI-based system for autonomous vehicles, achieving 85.5% accuracy in real-time object recognition with
YOLOv8. - Collaborated in a multidisciplinary team to solve complex challenges in AI and Data Science, emphasizing the importance of
teamwork.
Full-stack Developer
Contco. · Full-Timecontco. · Full-time
Nov 2021 – Jun 2023 · 1 yr 8 mos
Remote · Remote
Read MoreLess
● Led end-to-end development of a critical web application using TypeScript, React.js, and Redux.js, enhancing client business operations efficiency by 30%.
● Collaborated with a multidisciplinary team of developers, designers, and product managers, contributing to the successful and on-time delivery of 6 major projects.
● Established a comprehensive testing strategy using Jest and React Testing Library, improving code reliability, reducing production bugs by 40%, and boosting team velocity by minimizing troubleshooting time.
Code Reviewer
Microverse · Freelance
May 2020 – May 2023 · 3 yrs 1 mo
United States · Remote
Read MoreLess
● Completed 7000+ code reviews of real-world HTML, CSS, Ruby, Ruby on Rails, JavaScript, and React & Redux projects, helping junior software developers to improve their code quality and their understanding of core concepts.
● Created merge requests to improve the projects’ requirements, provide better guidance to the students, and upgrade the quality of the reviews.
University Of the People
Adjunct Instructor Pasadena, CA
March 2023 – Present ·
Read MoreLess
• Taught CS1101 Introduction to Programming Languages, UNIV1001 Online Education Strategies, and CS1102 Programming1, combining lectures, hands-on labs, and digital tools to enhance student learning.
• Guided students in mastering foundational and advanced concepts in Python and Java, as well as effective strategies for online
education.