Learning to ask better questions.
From undergraduate work in IoT and voice-based systems towards research interests in robotics, intelligent systems, feedback control, and AI.
Intelligence in the physical world.
I am interested in how systems sense, learn, and act reliably in the physical world. The areas below describe my research interests, not a record of completed robotics research.
Robotics & autonomous systems
How machines perceive, navigate, and act in the physical world.
Feedback control systems
Stability, uncertainty, and the art of closing the loop.
Artificial intelligence & machine learning
Learning useful representations and making considered decisions.
Intelligent sensing & system integration
Connecting signals, software, and the systems they serve.
From signals to intelligent interaction.
IoT, voice denoising & intelligent interaction
My self-initiated undergraduate project explored IoT, machine learning, and voice-based systems for intelligent sensing and interaction, including voice denoising. It is the same experience referenced by UROP, UREx CDE2605R, and the project entry on this site—not three separate appointments.
- Period
- August 2025 – May 2026
- Organisation
- NUS College of Design and Engineering
- Role
- Undergraduate Researcher
- Programme
- Undergraduate Research Opportunities Programme (UROP)
- Course / record identifier
- Undergraduate Research Experience (UREx) · CDE2605R
- Supervision
- Dr Rajesh C. Panicker · Professor Biplab Sikdar
- Funding
- Project supported by a S$2,500 grant
Learning through the research process.
- Reviewed relevant literature and investigated IoT, machine learning, and voice-recognition technologies.
- Explored system architectures and possible implementation approaches for embedded sensing, data-driven models, and voice-based interfaces.
- Contributed to project planning, technical exploration, and prototype development.
- Undertook experimentation, troubleshooting, technical documentation, and discussions with academic supervisors.
These statements describe the activities documented in my profile. A detailed breakdown of individual deliverables will be added alongside the original project materials.
What the experience involved.
The work gave me exposure to literature review, research problem formulation, system architecture exploration, experimentation, prototyping, and engineering documentation. IoT, machine learning, voice recognition, and audio signal processing formed the technical context.
Specific algorithms, datasets, hardware, software frameworks, experiment settings, and performance metrics have not been supplied. Technical exposure is not presented as proficiency in an undocumented tool or as a validated research result.
Evidence, when ready to share.
No public research materials have been supplied yet. Reports, technical demonstrations, posters, and repositories can be added here once available and cleared for sharing. No publication or measured result is claimed.
The project cover is an original conceptual illustration, not experimental data.
A direction, not a finished claim.
I hope to pursue advanced research in robotics and intelligent systems, potentially through a PhD. ROS 2, SLAM, autonomous robotics, feedback control, and advanced control are areas I want to study further, not completed systems or established specialisms.
My Second Major in Economics also shapes the questions I bring to engineering: how systems fit their setting, how resources are allocated, and how technical choices interact with institutions and public needs.
Academic CV · not yet available