PREETHIKA MURALIDHARAN
Msc Biomedical Informatics
Tirupur
Summary
Innovative Biomedical Engineer with a strong background in biomedical informatics, computational biology, and healthcare analytics. Experienced in medical image analysis, machine learning applications in healthcare, and energy harvesting for biomedical devices. Published researcher with contributions to retinal image registration, prostate segmentation using deep learning, and biomedical wearables powered by body heat. Adept at leveraging data science, algorithm development, and healthcare technology to drive impactful solutions.
Overview
6
6
years of professional experience
5
5
years of post-secondary education
Work History
Research Assistant
University of Florida, College of Medicine
Gainesville, Florida, USA
02.2023 - Current
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
- Conducted meticulous manual prostate segmentation on micro-ultrasound (micro-US) images for patients, ensuring high-quality ground truth annotations.
- As a annotator my segmentation achieved a Dice Similarity Coefficient (DSC) of 0.923, serving as a strong benchmark. MicroSegNet outperformed this with a DSC of 0.939, demonstrating its ability to achieve near-expert-level accuracy in automated prostate segmentation.
RetinaRegNet: A zero-shot approach for retinal image registration
- Conducted precise manual ground truth annotation for Laser Speckle Flowgraphy (LSFG) images, ensuring accurate point correspondences for retinal image registration and aiding in the validation of multi-modal alignment.
- RetinaRegNet achieved an AUC of 86.1% on LSFG images, demonstrating its effectiveness in aligning LSFG images for tracking eye disease progression.
Student Intern
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, Perak, Malaysia
12.2018 - 03.2019
- Conducted research on thermal energy harvesting for biomedical wearables, focusing on utilizing thermoelectric generators (TEG) to convert body heat into electrical energy.
- Designed and optimized a boost converter circuit, increasing the harvested voltage from mV levels to up to 9.7V, enabling battery charging for biomedical devices.
- Presented findings at the 7th IEEE Symposium and published research in the International Conference on AI for Smart Communities (Springer Nature).
- Collaborated with mentors and instructors, managing multiple tasks while consistently meeting deadlines and strengthening communication skills.
Education
Master of Science - Biomedical Informatics
University of Florida
Gainesville, Florida, USA 08.2022 - 05.2024
Bachelor of Engineering - Biomedical Engineering
Dr.N.G.P Institute of Technology
Coimbatore, Tamil Nadu, India 08.2016 - 04.2020
Skills
Biomedical Signal Processing Medical Image Analysis Clinical Data Analysis
Bioinformatics Translational Informatics Computational Biology
Healthcare Analytics EHR Data Processing Biostatistics
Thermoelectric Energy Harvesting Medical AI
Scientific Writing & Editing Research & Publication Problem-Solving
Interdisciplinary Collaboration Communication & Presentation Skills
Project Management Teamwork & Leadership Adaptability
Programming & ML: Python (NumPy, Pandas, Scikit-Learn) R SQL (i2b2, OMOP)
Deep Learning: TensorFlow PyTorch ResNet Feature Engineering
NLP: Named Entity Recognition (CLAMP) Word Shape Features Brown Clustering
Statistical Analysis: SPSS MATLAB Data Modeling Hypothesis Testing
Medical Imaging: 3D Slicer Image Segmentation Ultrasound MRI CT
Publications
- RetinaRegNet: A Zero-Shot Approach for Retinal Image Registration. Computers in Biology and Medicine , 186 (2025): 109645. DOI: 10.1016/j.compbiomed.2024.109645. PMID: 39813746.
- MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images. Computerized Medical Imaging and Graphics , 112 (2024): 102326. DOI: 10.1016/j.compmedimag.2024.102326. PMID: 38211358.
- Harvesting Electrical Energy from Body Heat to Power Biomedical Wearables. Springer Nature , Nov 14, 2022. DOI: 10.1007/978-981-16-2183-3_29.
Volunteering
Research Volunteer
MD-Nephrology, UF Mirth AI Lab, College of Medicine
University of Florida, Gainesville, FL, USA | (02/2023 to Current)
- Assisted in data annotation and preprocessing for AI-driven medical research.
- Collaborated with a multidisciplinary research team to refine algorithms for medical applications.
Additional Experience
Associate Language Editor (07/2020 to 09/2021)
TNQ Technologies - Coimbatore, TamilNadu, India
- Edited and reviewed biomedical scientific papers, ensuring clarity, scientific accuracy, and adherence to style guidelines, while applying biomedical engineering knowledge to enhance the understanding of technical content.
- Collaborated with authors and interdisciplinary teams, refining scientific research for publication by addressing language issues and maintaining the integrity of complex biomedical concepts.
Timeline
Research Assistant
University of Florida, College of Medicine
02.2023 - Current
Master of Science - Biomedical Informatics
University of Florida
08.2022 - 05.2024
Student Intern
Universiti Teknologi PETRONAS
12.2018 - 03.2019
Bachelor of Engineering - Biomedical Engineering
Dr.N.G.P Institute of Technology
08.2016 - 04.2020