Hello! I am Thamidul Islam Tonmoy. I am a Graduate Student Researcher in Optical Neural Imaging Lab at the Unversity of California, Riverside (UCR).
As a results-driven Bioengineering Ph.D. candidate with over five years of experience, I specialize in developing advanced biomedical 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. In my current role as a Graduate Researcher, I have been 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 design and simulation using Zemax and COMSOL, 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.
You can find my resume here.