V. G. Reju

Through-Wall Radar for Covert Audio: Lead researcher on an industry funded project developing a 5.3 GHz radar for speech capture via surface vibrations. Designed novel signal-processing algorithms and demonstrated a “microphone-through-walls” capability. Managed full project execution and stakeholder coordination, contributing to follow-on grants and future research directions.

Led departmental research direction, and academic programs. Supervised five Ph.D. scholars in signal and image processing and guided the department’s overall growth. Secured and led multiple funded projects in acoustic sensing and intelligent signal processing, including a ₹9.6 million government grant to establish the Signal Processing & Machine Intelligence Research Lab. As Principal Investigator, developed a “Visual Microphone” prototype for voice capture via video-based vibration analysis, resulting in publications and proof-of-concept systems.

• Acoustic Surveillance: Developed advanced audio surveillance algorithms and a functional hardware prototype for covert speech enhancement in noisy environments under an industry-funded project, demonstrating effective “audio intelligence” capabilities for security applications.
• UAV Acoustic Noise Cancellation: Designed signal-processing and machine-learning solutions to suppress drone rotor noise in microphone recordings, significantly improving sound clarity for airborne surveillance platforms.
• Sports Sensor Analytics: Co-developed a table-tennis performance analytics system with sensor-based ball impact detection and video synchronization for automated scoring and real-time feedback.
• Team Leadership and Outreach: Mentored junior researchers and delivered live demonstrations to government and industry stakeholders, leading to follow-on funding and successful technology adoption.

• Developed a vibration-based touch interface that converts solid surfaces into touch-sensitive input devices. Designed core DSP algorithms and secured a National Research Foundation Proof-of-Concept grant for prototyping; the technology was subsequently licensed to industry through NTUitive for commercialization.
• Played a key role in the “Next-Generation Human–Computer Interface” project, developing the core algorithm that received the Institution of Engineers Singapore (IES) Engineering Achievement Award (2012). Published findings in leading journals, strengthening the project’s technical impact and visibility.

Served as the primary researcher on an industry-funded project focused on blind source separation using steerable beamforming. Designed and implemented advanced signal-processing algorithms and developed a fully functional beamforming prototype that achieved all specified performance targets.

• Built foundational expertise in teaching electronics and setting up new laboratory facilities, establishing a base for later work in research and development.