About
I am a PhD Student and Research Assistant at the University of Cincinnati, specializing in artificial intelligence and high-performance computing. My research focuses on AI-driven scientific data modeling, scientific data analysis, data visualization, and high-performance computing for scientific discovery. I hold an M.S. in Computer Science from Miami University (May 2026). Before graduate school, I spent two years as a software engineer at Therap (BD) Ltd. and Samsung R&D Institute Bangladesh, building large-scale backend systems and embedded communication modules.
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2026
Summer Research Fellowship Awardee Miami University
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2025
Summer Research Fellowship Awardee Miami University
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2025
People’s Choice Award – CEC Design Expo College of Engineering and Computing, Miami University
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2022
Passed Professional Engineer Test Samsung R&D Bangladesh
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2017–22
Faculty of Engineering Dean’s List University of Rajshahi
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2021
Ranked 6th – ITEE Fundamental IT Engineer Exam IPA of Japan, Bangladesh
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2019
Ranked 25th – Samsung R&D Bangladesh Coding Contest Samsung R&D Bangladesh
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2019
Participated in ICPC Dhaka Regional Contest - 2019 RU Squadron, University of Rajshahi
Publications
Projects
Experience
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- Research in AI-driven scientific data modeling, analysis, and visualization through high-performance computing
- Focus on scalable computational science and data-driven discovery
I am pursuing a PhD in Computer Science and Engineering at the University of Cincinnati as a Research Assistant. My research focuses on AI-driven scientific data modeling, analysis, and visualization through high-performance computing, with applications to complex scientific discovery.
Research Focus
- AI-Driven Data Modeling: Developing machine learning and deep learning approaches for scientific data representation and modeling.
- Scientific Data Analysis: Creating algorithms for extracting meaningful insights from large-scale scientific datasets.
- Data Visualization: Designing interactive and immersive visualization systems for scientific discovery, including:
- High-Performance Computing: Leveraging HPC infrastructure for scalable scientific computing, visualization, and analysis.
- Research in LLM & RAG, wheelchair accessibility, camera–mmWave sensor fusion, and autonomous driving
- Teaching assistant for undergraduate computer science courses
- Supported by Graduate Assistantship (full tuition) and Summer Research Fellowship 2025
I serve as a Graduate Teaching Assistant and active researcher in the Department of Computer Science and Software Engineering at Miami University. My work spans both applied research and academic instruction.
Research Projects
- MyPath (NIDILRR-funded): Building the backend routing engine for a wheelchair-accessible navigation app using Java Spring Boot and OpenStreetMap — computing barrier-aware routes for power wheelchair users in urban environments.
- OmniAcc (AAAI 2025): Contributed to a generative AI-powered accessibility assistant, including zero-shot crosswalk detection with GPT-4o achieving 97.5% accuracy.
- Camera–mmWave Sensor Fusion: Investigating fusion techniques for perception in autonomous driving scenarios.
- LLM & RAG: Exploring retrieval-augmented generation architectures for domain-specific knowledge access.
Teaching
- Teaching assistant for undergraduate CS courses including data structures, algorithms, and software engineering.
- Held regular office hours, graded assignments, and supported student projects.
Awards & Funding
- Graduate Assistantship — full tuition scholarship for the duration of the program.
- Summer Research Fellowship 2025.
- Faculty Learning Communities — AI & Student Project Development.
- Built push notification framework serving millions of users
- Achieved 80% efficiency improvement in Excel-based reporting solutions
- Led legacy codebase refactoring for improved maintainability
Therap Services is a US-based healthcare IT company providing electronic documentation solutions for agencies supporting people with intellectual and developmental disabilities. I joined as a Software Engineer and was promoted to Associate Software Engineer during my tenure.
Key Contributions
- Push Notification Framework: Designed and implemented a scalable push notification system serving millions of users across web and mobile platforms, significantly improving real-time communication within the application ecosystem.
- Excel Reporting Optimization: Refactored and optimized Excel-based reporting pipelines, achieving an 80% improvement in generation efficiency — reducing report generation time from minutes to seconds for large datasets.
- Legacy Code Refactoring: Led systematic refactoring of aging Java codebases, improving maintainability, reducing technical debt, and enabling faster feature development for the team.
- Backend Feature Development: Developed and maintained core backend features for the Therap platform using Java Spring Framework, Hibernate ORM, and Oracle SQL.
- Frontend Integration: Worked on JSP-based UI components and jQuery-driven interactions for the web application interface.
Tech Stack
- Developed communication modules for smart ring devices
Samsung R&D Institute Bangladesh (SRBD) is one of Samsung's global research and development centers. I joined as an Engineer I immediately after graduating, working on the mobile and wearable devices division.
Key Contributions
- Smart Ring Communication Module: Developed the Bluetooth communication layer for Samsung's smart ring wearable device prototype, enabling data exchange between the ring and companion Android applications.
- RTOS Integration: Worked with Real-Time Operating System (RTOS) firmware to implement low-latency sensor data collection and transmission protocols required by the wearable hardware.
- Android Companion App: Contributed to the Android-side companion app that interfaces with the smart ring over BLE, handling data parsing and device state management.
Tech Stack
Education
- Research focus: AI-driven scientific data modeling, analysis, and visualization through HPC
- Research Assistant
- Graduate Assistantship (full tuition scholarship)
- Summer Research Fellowship 2025
- Faculty Learning Communities — AI & Student Project Development
- Highest CGPA in class (2016–2017 session)
- Dean’s List — all four years
- 6th rank in ITEE FE Exam (IPA Japan)
- ACM ICPC member
Extra Curricular
Selected as a member of Miami University's Faculty Learning Communities (FLC) cohort focused on Artificial Intelligence and student-driven project development. The FLC brings together faculty and graduate students to collaboratively explore pedagogical approaches to AI integration in coursework and to mentor undergraduate students through research and project work.
Active member of the ACM International Collegiate Programming Contest (ICPC) community at the University of Rajshahi. Participated in programming contests involving algorithmic problem solving, data structures, and competitive coding under time constraints. Engaged with peers to practice and prepare for regional and national level contests.
News & Presentations
Industry Talk
Attended a research talk at Tata Consultancy Services with my professor, presenting a portion of my research and discussing its applications with industry researchers.
Workshop Presentation
Presented collaborative work between MyPath and ScooterLab at The University of Texas at San Antonio, showcasing wheelchair-accessible route mapping research at the ScooterLab Workshop 2026.
Award
Presented and won the People’s Choice Award for our wheelchair accessibility project at the CEC Design Expo 2025, arranged by the College of Engineering and Computing, Miami University.
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Poster Presentation
Presented the MyPath project at the Miami University AI Symposium 2025, showcasing advancements in wheelchair accessibility using AI technologies.
Research Forum
Presented ongoing research at Miami University’s Graduate Research Forum, highlighting work on AI-driven accessibility and pedestrian safety systems.
Award
Awarded the Dean’s Award for academic excellence every year throughout undergraduate study (2017, 2018, 2019, 2020).