Projects

  • Virtual White Matter (VWM) — A novel system for cross-dish neural interaction and modulation that establishes functional connections between different neural preparations, facilitating interactions between in-vitro biological neural networks and enabling the rewiring of damaged in-vivo neural tissues using a novel real-time, low-latency spike detection system for neural signal analysis, optimized for electrically stimulated environments. Click here
  • NuroSleeve—An Exoskeleton with Wireless Sensor Network — Developed and clinically tested a wireless sensor-integrated active orthosis (exoskeleton) for brain-computer interface (BCI)-driven upper limb rehabilitation, enhancing functionality in individuals with motor impairments. Click here
  • Wireless Functional Electrical Stimulation (FES) — Designed and developed a wireless FES system for both percutaneous and implantable spinal cord stimulation, optimized for low-latency performance and safety-critical applications. The system includes built-in fault tolerance and complies with regulatory standards. Also developed a portable wireless device for delivering mechanical tactile stimulation for sensory substitution applications, successfully validated in clinical trials.
  • Brain-Computer Interface (BCI) Trial — Contributed to a clinical trial using the Layer 7 Cortical Interface by Precision Neuroscience for surface-level neural signal acquisition. Implemented real-time signal processing and control algorithms to enable volitional motor control of the NuroSleeve hand orthosis. Also contributed to a novel brain-to-cell interface by using decoded cortical activity from BCI signals to stimulate dissociated neural cultures.
  • 3D Micro Electrode Arrays (MEAs) — Designed 3D MEAs with 128 electrodes for culturing ex-vivo brain slices with automated medium exchange.
  • NeuroTuner System — Developed a Python-based software and stimulation system integrated with the Intan RHS platform to deliver and analyze diverse electrical stimulation paradigms. Enabled real-time delivery of pulses with variable parameters (type, frequency, shape, width, amplitude) and post-stimulus activity analysis in neural preparations.
  • Spinal Cord Stimulation Rehabilitation Platforms (RISES) — Played a key role in the design, firmware and hardware safety evaluation, failure mode analysis, and regulatory compliance (FDA approval) of the RISES system, an advanced closed-loop spinal cord stimulation platform for spinal cord injury rehabilitation. Led the verification and validation of embedded firmware, ensuring real-time performance, fault resilience, and patient safety in a neurostimulation environment. Click here
  • Fine Motor Assessment Devices — Designed and developed high-precision systems for evaluating fine motor function, including finger force measurement and foot strength assessment tools. These devices were utilized in clinical trials to quantify rehabilitation outcomes in spinal cord stimulation therapy.
  • Low-Power Data Acquisition System — Led the design of ultra-low-power data loggers for underground water management systems, enabling remote data collection with up to six months of battery life.
  • 32-Channel Strain Gauge Data Logger — Developed a high-resolution 32-channel system for mechanical testing, supporting fatigue, strain, and stress analysis in structural materials.
  • IoT-Based Hydroclimatology Station — Built an IoT-enabled environmental monitoring station with custom-designed weather sensors to collect and transmit real-time hydroclimatology data.
  • Parking Guidance System — Designed and implemented an automated system for shopping centers to guide drivers to the nearest available parking space using sensor networks and real-time processing.
  • Soccer-Playing Robots — Led the development of a fully autonomous multi-agent robotic soccer team, integrating Xilinx FPGAs, microcontrollers, and ZigBee communication for coordination. Implemented a centralized AI and vision system for strategic decision-making and real-time image processing.
  • High-Voltage DC-DC Boost Converter — Engineered a 22.2V to 400V fast boost converter to charge capacitors within 4 seconds, powering a ball kicker mechanism capable of launching a 45-gram golf ball at 16 m/s.
  • FPGA-Based PID Motor Control — Developed a robust PID controller on FPGA for precise position control of four BLDC motors, enabling smooth omnidirectional navigation.
  • Pipeline ADC Chip Design — Designed a high-speed sample-and-hold circuit for an 800 MSPS, 10-bit pipeline analog-to-digital converter (ADC) chip in 180nm CMOS technology.
  • CPU Design — Implemented a 32-bit MIPS processor on FPGA using Verilog HDL, covering instruction decoding, ALU operations, and memory interfacing.