Conducted comprehensive neural stimulation experiments using NEURON simulation software to compare the effects of Temporal Interference (TI) and transcranial Alternating Current Stimulation (tACS) in rat brain models. This research involved developing sophisticated computational models to understand neural response patterns and optimize stimulation parameters for therapeutic applications.

Developed a comprehensive web-based platform serving as an open-access database for vision-based and multimodal tactile sensing technologies in robotics. The platform integrates datasets from various sensor types including MagicTac, GelSight, and ViTacTip, providing researchers with standardized access to tactile sensing data for machine learning and robotics applications.

Led the development of an advanced fly-robot interface that integrates neural data from biological fly vision systems into robotic control algorithms. The project enhanced collision avoidance capabilities through the implementation of a binocular vision system, improving the robot's ability to navigate complex environments using bio-inspired neural processing techniques.

Comprehensive biomechanics study examining butterfly flight patterns, wing morphology, and adaptation strategies. The research aimed to apply findings to bio-inspired robotics and aerospace engineering applications.

Designed and developed a comprehensive VR training system using Unity 3D to provide immersive laboratory training experiences for bioengineering students. The system significantly reduced training costs while improving safety by allowing students to practice complex procedures in a risk-free virtual environment, resulting in measurable improvements in learning outcomes.

Conducted extensive research on CRISPR-Cas9 gene editing techniques with a focus on applications in neural tissue engineering. The project involved testing DNA repair efficiency in bacterial systems and developing novel combined repair pathway methods that demonstrated significant improvements in non-homologous end joining (NHEJ) efficiency.