Arslan

Hello

I'm Arslan Bisharat

and I’m currently enjoying the adventure of studying for my Master’s 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. 

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

Muhammad Mubeen, Muhammad Rashid, Muhammad Arslan, Ahmad Aseeri, Arslan Akram, Muhammad Arfan Jaffar. A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification
Muhammad Arslan, Muhammad Mubeen, Syed Muhammad Usman. Object Detection for Autonomous Vehicles in Urban Areas using Deep Learning
Muhammad Arslan, M Sandoval Madrigal, M Abuhamad, D Hall, Y Silva. Detecting LGBTQ+ Instances of Cyberbullying
Muhammad Arslan, Muhammad Mubeen, G. Anandhi. Comparing Algorithm Performance in Machine Learning for Landslide Susceptibility Studies: An Overview.
Muhammad Arslan, Muhammad Mubeen, Giri Anandhi. Achieving Multi-Objectives Using a Single Neural Network.
Muhammad Mubeen, Muhammad Arslan, Giri Anandhi. Strategies to Avoid Illegal Data Access
Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq, Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad. A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
M Mubeen, Rashid, Muhammad, Muhammad Arslan, A Aseeri, A Akram, M Arfan. A Robust and Reliable Method for Malware Classification using Hybrid Features and Gradient Boosting
Muhammad Mubeen, Muhammad Arslan, Arslan Akram, Javed Rashid, Muhammad Hamid . Cyberbullying Related Automated Hate Speech Detection on Social Media Platforms using Stack Ensemble Classification Method
Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq, Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad. A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
Muhammad Arslan, Muhammad Mubeen, Muhammad Bilal, Saadullah Farooq Abbasi. 1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT
Muhammad Mubeen, Muhammad Rashid, Muhammad Arslan, Ahmad Aseeri, Arslan Akram, Muhammad Arfan Jaffar. A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification
Muhammad Arslan, Muhammad Mubeen, Syed Muhammad Usman. Object Detection for Autonomous Vehicles in Urban Areas using Deep Learning
Muhammad Arslan, M Sandoval Madrigal, M Abuhamad, D Hall, Y Silva. Detecting LGBTQ+ Instances of Cyberbullying
Muhammad Arslan, Muhammad Mubeen, G. Anandhi. Comparing Algorithm Performance in Machine Learning for Landslide Susceptibility Studies: An Overview.
Muhammad Arslan, Muhammad Mubeen, Giri Anandhi. Achieving Multi-Objectives Using a Single Neural Network.
Muhammad Mubeen, Muhammad Arslan, Giri Anandhi. Strategies to Avoid Illegal Data Access
Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq, Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad. A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
M Mubeen, Rashid, Muhammad, Muhammad Arslan, A Aseeri, A Akram, M Arfan. A Robust and Reliable Method for Malware Classification using Hybrid Features and Gradient Boosting
Muhammad Mubeen, Muhammad Arslan, Arslan Akram, Javed Rashid, Muhammad Hamid . Cyberbullying Related Automated Hate Speech Detection on Social Media Platforms using Stack Ensemble Classification Method
Muhammad Arslan, Muhammad Mubeen, Saadullah Farooq, Abbasi, Muhammad Shahbaz Khan, Wadii Boulila, Jawad Ahmad. A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
Muhammad Arslan, Muhammad Mubeen, Muhammad Bilal, Saadullah Farooq Abbasi. 1D-CNN-IDS: 1D CNN-based Intrusion Detection System for IIoT

Experience

Experience

Graduate Research Assistant (BullyBlocker)

Loyola University Chicago · Part-time 
Aug 2023 – Present · 1 yr 1 mo 
Chicago, Illinois, United States · On-site 

● 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

Full-stack Developer​

Contco. · Full-Timecontco. · Full-time 
Nov 2021 – Jun 2023 · 1 yr 8 mos 
Remote · Remote

● 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


● 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.

Technical Support Representative

Jotform · Freelance 
Mar 2021 – Dec 2021 · 10 mos
Remote

• Delivered technical support to users, focusing on troubleshooting web-based applications, browser compatibility, and user interface issues.
• Resolved complex issues related to user accounts, permissions, and system configurations, ensuring a seamless user experience.
• Documented technical support cases and collaborated with the development team to address recurring issues.

Technical Support Specialist

StellarAIO LLC · Freelance 
May 2020 – Aug 2021 · 1 yr 4 mos 
United States · Remote 


● Assisted users with technical troubleshooting using Discord and Intercom support and productivity tools.<br>
● Performed data collection and analysis on daily activities and tasks and developed improved processes to allow for the more efficient running of the desktop application

Graduate Research Assistant (BullyBlocker)

Loyola University Chicago · Part-time 
Aug 2023 – Present · 1 yr 1 mo 
Chicago, Illinois, United States · On-site 

● 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

Full-stack Developer​

Contco. · Full-Timecontco. · Full-time 
Nov 2021 – Jun 2023 · 1 yr 8 mos 
Remote · Remote

● 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


● 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.

Technical Support Representative

Jotform · Freelance 
Mar 2021 – Dec 2021 · 10 mos
Remote

• Delivered technical support to users, focusing on troubleshooting web-based applications, browser compatibility, and user interface issues.
• Resolved complex issues related to user accounts, permissions, and system configurations, ensuring a seamless user experience.
• Documented technical support cases and collaborated with the development team to address recurring issues.

Technical Support Specialist

StellarAIO LLC · Freelance 
May 2020 – Aug 2021 · 1 yr 4 mos 
United States · Remote 


● Assisted users with technical troubleshooting using Discord and Intercom support and productivity tools.<br>
● Performed data collection and analysis on daily activities and tasks and developed improved processes to allow for the more efficient running of the desktop application

Technical Skills

Technical Skills

Languages:

Tools:

DBMS:

Cloud:

Programming Langauges
Python, Bash, ECMAScript, GoLang, R, MATLAB, Common Lisp, Icon, Prolog 85%
Tools
Git, Maven, Visual Studio, jQuery, React. 95%
DBMS
MySQL, MariaDB, MongoDB, PostgreSQL, SQLite 85%
Cloud
AWS, Kubernetes 75%

Contact Me

Contact Me

Please enable JavaScript in your browser to complete this form.
Name
Scroll to Top