I bridge the gap between mechanical precision and computational intelligence. My work focuses on developing bio-inspired sensing systems, implementing Spiking Neural Networks (SNNs) for robotic perception, and developing embedded systems for real-time tactile interaction.
- Spiking Neural Networks (SNNs): Developing multi-layer SNN architectures for complex robotic tasks like texture classification and velocity detection.
- Neuromorphic Computing: Implementing brain-inspired algorithms to mimic biological signal processing in robotic limbs.
- Machine Learning: Utilizing ML for signal processing, data acquisition, and pattern recognition in tactile sensor arrays.
- Microcontrollers: Advanced Arduino programming for real-time control of 3-DOF Cartesian robots and sensor data acquisition.
- Tactile Sensing: Design and implementation of bio-mimetic tactile sensors (e.g., 8x8 and 6x6 piezo-resistive arrays).
- Signal Processing: Processing raw data from vibration-sensitive piezoelectric sensors to extract meaningful biological-like feedback.
- Hardware-Software Integration: Seamlessly integrating sensors, actuators, and PCBs into electromechanical systems.
- Languages:
Python(ML, Data Analysis, Signal Processing),C/C++(Arduino, Embedded Systems). - AI/ML Frameworks: Neural network modeling (SNN focus), Signal processing libraries.
- Robotics/Hardware: Arduino, 3-DOF Robot Controllers, Tactile Sensor Arrays, Electronic Prototyping.
- CAD/Mechanical: SolidWorks, AutoCAD (for designing sensor housings and robotic enclosures).
Collaborative Research with IIT Research Institute, Italy
- Goal: Implementing SNNs for intelligent robotic grasping.
- Tech: Python, Spiking Neural Networks, Robotic Tactile Sensing.
Kermanshah University of Medical Sciences
- Goal: Developing an 8x8 piezo-resistive array for texture and sharpness detection.
- Tech: Arduino, Piezoelectric Sensors, Signal Processing, Machine Learning.
- Goal: Multi-layer SNN implementation to classify material properties via vibration sensing.
- Tech: Python, Embedded Sensors, Bio-inspired algorithms.
- LinkedIn: [Your LinkedIn Profile]
- Email: [Your Email Address]
- Portfolio: [Link to your full CV/Portfolio]
“Exploring the intersection of biological intelligence and robotic autonomy.”