Hello! I am Thamidul Islam Tonmoy. I have recently completed my Ph.D. from the University of California, Riverside (UCR).

I specialize in developing advanced optical imaging systems, image analysis tools, and AI algorithms for translational research. My expertise is centered on polarization-sensitive optical coherence tomography (PS-OCT), which I have applied to the study of neural and musculoskeletal tissue imaging. During my doctoral research, I was responsible for optimizing these systems, integrating sophisticated hardware like MEMS mirrors, and designing machine learning algorithms to quantify tissue properties such as true birefringence.

My professional background is supported by a robust technical skill set that includes optical system simulation using Zemax OpticStudio, 3D design with SolidWorks, and extensive experience in image processing and analysis using MATLAB, Amira, and Seg3D. I have a strong foundation in machine learning and AI, with proficiency in libraries like Keras, TensorFlow, and Scikit-Learn. My contributions to the field are evidenced by multiple peer-reviewed publications in journals like NPJ Regenerative Medicine and Neural Computing and Applications.

Beyond research, I have cultivated leadership skills as the Vice President of the UCR Photonics Society, where I co-led initiatives to foster a collaborative community. I am passionate about applying my technical and analytical skills in an innovative healthcare or biomedical technology setting to drive impactful scientific discoveries.