Shovon Niverd Pereira
PhD Researcher in Explainable AI
Computer Science PhD candidate at UT Arlington with 3+ years of industry experience as a Senior Software Engineer at Samsung R&D. Specializing in interpretable machine learning, surrogate models, and adversarial robustness. Active contributor to academia as a Graduate Teaching Assistant.
Education
Ph.D. in Computer Science and Engineering
2022 - OngoingThe University of Texas at Arlington
Software Engineering Research Center • GPA: 3.7/4.0
Courses Completed
PhD Progress
Bachelor of Science
2016 - 2019Military Institute of Science and Technology
Computer Science and Engineering • GPA: 3.37/4.0
Professional Experience
Sr. Software Engineer
Samsung Research and Development Institute
- • Developed Samsung Account application as a part of Android Application team
- • Led the development of terms & condition, remote sign in, profile status module
- • Worked on several other modules such as sign out, API and app architecture
- • Worked as part of a research team to minimize resource usage of Samsung Account in low-end devices
- • Samsung Account is being used globally as the principal account and eco-system manager for Samsung devices
Graduate Research Assistant
Dean's Office
The University of Texas at Arlington
- • Conducted research projects under the Dean's office supervision
- • Assisted with academic administrative tasks and initiatives
- • Collaborated on institutional research and development projects
- • Supported various academic programs and strategic planning activities
Graduate Teaching Assistant
Department of Computer Science and Engineering
The University of Texas at Arlington
- • Prepare course material and exams for bachelor and masters level students
- • Grade quizzes and final exams
- • Deliver lectures on behalf of course instructor when required
- • Guide and evaluate students on various projects
Research & Projects
Constructing Good Surrogate Model for Machine Learning
Understanding and interpreting the decision-making process of black-box machine learning models is often challenging, making their predictions less transparent. As ML models are increasingly adopted in sensitive domains like healthcare and finance, ensuring trustworthy and accountable decision-making is critical. This project aims to use surrogate models—simpler, interpretable models that approximate the behavior of complex black-box systems—to improve transparency. These models are easy to analyze and can also be valuable tools in studying adversarial attacks. We are exploring innovative techniques to construct effective surrogate models for black-box ML systems.
Publications
Blockchain-based digital record-keeping in land administration system
S Niverd Pereira, N Tasnim, R Sunny Rizon, M Nazrul Islam
Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI, 2021
In this work, a blockchain-based framework is proposed to develop a land administration system. The proposed framework was simulated in Ethereum blockchain platform.
📖 View PublicationMulti-channel Approach Towards Digitizing the Land Management System of Bangladesh
Shovon Niverd Pereira, Noshin Tasnim, M Shahir Rahman, Sanjida Nasreen Tumpa, Md Mahboob Karim, Rabius Sunny Rizon, Nabila Shahnaz Khan, Ruhul Ambia Remon
2018 IEEE International WIE Conference on Electrical and Computer Engineering, 2018
This paper introduces a cloud based multi-channel approach to synchronize various aspects of land management to improve the current paper-based system into a faster and efficient one.
📖 View PublicationAwards & Recognition
STEM Graduate Fellowship (Federal)
UT Arlington
2022-Ongoing
Federal fellowship supporting graduate studies in STEM fields, recognizing academic excellence and research potential.
Dean's Graduate Research Assistant
UT Arlington
Summer 2024
Prestigious research assistantship awarded by the Dean for outstanding academic performance and research contributions.
Travel Grant to 13th Summer School on Formal Techniques
Stanford Research Institute
2024
Competitive travel grant to attend advanced summer school on formal methods and verification techniques. I met and learned from world renowned computer scientists. It was funded by Stanford Research Institute affiliated with Stanford University.
Qualified for 2018 ICPC Asia Dhaka Regional Programming Contest
International Collegiate Programming Contest
2018
Qualified for the prestigious ICPC Asia Dhaka Regional, demonstrating exceptional competitive programming skills and algorithmic problem-solving abilities.
Inter Department Debate Champion
Military Institute of Science and Technology
2019
Champion in inter-departmental debate competition, demonstrating exceptional communication skills and critical thinking abilities.
Leadership & Activities
General Secretary
Bangladesh Student Organization at UTA
- • Leading organizational activities and coordinating student events
- • Managing administrative responsibilities and member communications
- • Organizing cultural and social programs for the Bangladeshi student community
- • Facilitating collaboration between different student groups at UTA
Joint Sports Secretary
Bangladesh Student Organization at UTA
- • Organized and coordinated sports events and tournaments
- • Managed team registrations and sports equipment logistics
- • Promoted physical fitness and recreational activities among students
- • Collaborated with university sports facilities and other organizations
President
MIST Computer Club
Military Institute of Science and Technology
- • Led the computer club with focus on programming and technology education
- • Organized coding competitions and technical workshops
- • Mentored junior students in programming and software development
- • Established partnerships with tech companies for student training programs
Let's Connect
I'm always interested in discussing new opportunities, research collaborations, or innovative projects.
