Welcome To IoT and Robotics Research Laboratory
Overview:
The IoT & Robotics Research Laboratory is dedicated to advancing scientific knowledge through innovative research in Internet of Things (IoT), Robotics, Embedded Systems, Edge Devices and Intelligent Computing. The laboratory provides a high-performance computing environment along with modern prototyping facilities, including 3D printing, Arduino and Raspberry Pi development platforms, AI-enabled LiDAR cameras, and other advanced sensing technologies to support cutting-edge experimentation and real-world system development.
This laboratory plays an active role in cultivating a highly skilled scientific and technical workforce by co-supervising M.S., M.Phil., and Ph.D. students in their thesis research and project development. Through rigorous research training, hands-on experimentation, and interdisciplinary collaboration, students are prepared to address complex engineering and technological challenges.
The laboratory maintains a strong commitment to excellence in research by publishing in high-quality international journals and engaging in collaborative projects with national and international organizations. By integrating academic study, practical implementation, and global partnerships, the IoT & Robotics Research Laboratory aims to foster impactful innovation and sustainable technological advancement.
This laboratory plays an active role in cultivating a highly skilled scientific and technical workforce by co-supervising M.S., M.Phil., and Ph.D. students in their thesis research and project development. Through rigorous research training, hands-on experimentation, and interdisciplinary collaboration, students are prepared to address complex engineering and technological challenges.
The laboratory maintains a strong commitment to excellence in research by publishing in high-quality international journals and engaging in collaborative projects with national and international organizations. By integrating academic study, practical implementation, and global partnerships, the IoT & Robotics Research Laboratory aims to foster impactful innovation and sustainable technological advancement.
Research Area:
- Tiny-ML and Resource-Constrained Deep Learning
- Edge Computing and Distributed Intelligence
- Computer Vision for Embedded and IoT Systems
- Intelligent Healthcare Systems
- Natural Language Processing for Low-Resource Languages
- Data-Driven Intelligent Systems
Services:
- Rapid prototyping of mechanical parts for research.
Facilities:
- High-Performance Computing Workstations for AI and Data-Intensive Research
- Rapid Prototyping Facility with Creality K1 Max 3D Printer
- Embedded Systems Development Platforms (Arduino and Raspberry Pi)
- AI-Enabled LiDAR Camera and Intelligent Sensing Systems
- Collaborative Research Environment with Access to Experienced Researchers and Technical Mentors
Personnel:
Scientist: Nazifa Tasnim Hia
Current Projects:
| Sl | Title | Year |
|---|---|---|
| 1 | A Bangla Language Plagiarism Detection Framework for Academic Integrity at Dhaka University | 2025 |
| 2 | Maintainability Analysis of Software Frameworks: A Metric-Based Approach | 2025 |
| 3 | A Systematic Prompting Framework for LLM-Driven Code Generation | 2025 |
| 4 | A Conversational AI Assistant for Alzheimer’s and Dementia Caregivers | 2025 |
| 5 | TinyML-Based Leaf Disease Detection for Smart Agriculture in Bangladesh | 2026 |
Collaborations:
| Sl | Organization | Description |
|---|---|---|
| 1 | Institution of Information Technology, University of Dhaka | Jointly supervise MS thesis work |
Publications:
| Sl. | Article | Type | Year | Link |
|---|---|---|---|---|
| 1 | A Differential Evolution-based Pseudotime Estimation Method for Single-cell Data | Journal | 2024 | Link |
| 2 | An Empirical Study on the Evolution of Android Operating System in terms of Lehman’s Laws | Journal | 2023 | Link |
| 3 | Automatic cell type annotation using supervised classification: A systematic literature review | Journal | 2022 | Link |