• Develop a Large Language Model to generate SOAP notes for PTs from scratch.

• Develop a flexible neuromorphic processor using organic materials with four inputs and two outputs to control a four-wheel mobile robot.• Design and implement a manual shadow mask aligner with 5um resolution for shadow masking organic thin films.• Develop ultra-low voltage p-type OFETs resistant to ambient conditions for over a year.

• Responsible for managing lab facilities, including advanced nanofabrication equipment like PVD, CVD, RIE, sputtering systems, and characterization tools such as semiconductor parameter analyzers and DAQs.• Led comprehensive training programs for research scientists, students, and faculty members, ensuring their proficient use of laboratory facilities and equipment.• Actively engaged with lab members and trainees, fostering a collaborative and inclusive atmosphere to encourage teamwork and knowledge sharing for innovative research projects.

• Developed a 270 nm thin, self‑adhesive e‑skin medical device recorder that adheres to human skin and measures biological signals such as ECG and EMG.• Developed an analytical modeling approach for analog organic circuits, enabling the simulation of complex behavior in circuits such as organic neuromorphic circuits.• Designed, fabricated, and evaluated the first reported full solid‑state neuron using organic materials, which showed different aspects of a biological neuron, such as learning.• Proficient in ISO 4 cleanroom thin-film fabrication techniques (Sputtering, E-beam PVD, CVD, ALD, photolithography), showcasing material processing expertise.

• Led a cross-disciplinary project to implement an additive manufacturing technology for cell 3D printing.• Played a key role in developing whole-thermoplastic microfluidic microvalves and micropumps for lab-on-chip applications. • Conducted research on prosthetic robotic hands and fingers.

• Developed a 3D-printed autonomous underwater vehicle featuring dual tilt-rotors, involving concept design, detailed design, prototype fabrication, fluid and solid finite element analysis, SolidWorks-based solid machine design, power and control electronics integration, and Python coding.• Applied model predictive control (MPC) algorithm to control the 3D-printed autonomous underwater vehicle. • Implemented an 80 cm × 100 cm × 50 cm FDM 3D printer to print the AUV body.

• Designed, fabricated, and controlled a vision-based AUV with a two-hour operation duration, weighing 20 kg and carrying a one kg payload.