Rohit Parkar

Hardworking and passionate Biomedical Engineering student with strong organizational skills eager to secure internship position. Highly experienced working in a research lab.

Polyethylene Glycol (PEG) vs Biofilm Formation

• Biofilms are communities of microorganisms that attach themselves to many surfaces including living tissues and medical devices. The goal of the research experiment was to test whether polyethylene glycol (PEG) is a good coating for a medical device to combat biofilm formation.
• PETG dogbone samples were chosen and plasma treated with oxygen prior to coating the PETG samples with PEG. Four testing methods were utilized to assess the combatting of biofilm formation: a contact angle test, optical microscopy, fourier-transform infrared (FTIR) spectroscopy, and a tensile test.
• The results demonstrated that PEG was a good choice for a coating by passing the contact angle and FTIR requirements along with visible changes utilizing optical microscopy.

Predicting the Readmission of Diabetic Patients

• Patient readmission is critical in healthcare due to the need for hospitals to prioritize allocation of resources to patients who require it the most. This project is designed to predict patient readmission based on three categories: patient does not return, returns in under 30 days, or returns in more than 30 days.
• The study was focused on developing two predictive models using a Sequential Neural Network and Random Forest using a multitude of data preprocessing techniques such as handling missing values, encoding categorical variables, performing embedding and regularization, and performing feature scaling to improve model accuracies. The Sequential Neutral Network yielded an accuracy of 59% on the test data while the Random Forest model obtained a 58% accuracy, both of which were above the baseline accuracy.
• Evaluation using accuracy, confusion matrices, and ROC curves was conducted and confirmed that the Random Forest model was the better predictive model.
• Future preprocessing modifications could encompass methods to improve model accuracy on the test data to prevent overfitting for a wider reach in healthcare practices.

NIR Enuresis Device Validation & Verification

• Enuresis is defined as the involuntary wetting of clothes or bedding by urine. The proposed solution to help young children and improve the quality of life of their mothers is to develop a device that uses NIR imaging to track bladder fullness and alert the parent through another device when the bladder is close to being full.
• Usability of the device was tested through labeling, adhering to standards provided by ISO 15223-1:2021 and ensuring that there is clear labeling that includes pertinent safety information. The conveying of the label was assessed using surveys and the final label was adjusted accordingly.
• In addition, multimeter testing was performed on the hardware components to ensure that the device functions as intended without breaks or discontinuities and is appropriately integrated with other components of the device.

• TAMU Hack 2023 - Developed a Python program that incorporated OpenCV, HSV, and an Arduino program to perform image processing and facial detection to determine whether person has showered or not.
• Biomedical Engineering Society - Volunteering
• American Medical Student Association - Bronze Status through volunteering for various events for the Texas A&M chapter.

1. Computing for Biomedical Engineering - Introduces the principles of computer programming for biomedical applications. Teaches essential skills through assignments and projects using Python and LabVIEW programming.

2. Biostatistics and Data Visualization - Introduces statistical thinking for solving biomedical engineering problems that are beneficial in laboratory and clinical testing and quality engineering validation and verification. Covers topics such as descriptive statistics, estimation, hypothesis testing, regression and correlation, and data visualization.

3. Biomedical Engineering Design 1-3 - Introduction to biomedical engineering design, creation of an initial prototype for user testing within the biomedical engineering process, and analysis of validation and verification testing for biomedical engineering design.

4. Circuits, Signals, & Systems - Introduction to circuits and linear and nonlinear systems concepts critical in the design of biomedical systems. Covers topics such as op amps, frequency response, impulse response, transfer functions, convolution, Fourier and Laplace transforms, and filtering of biomedical signals.

5. Biomedical and Health Data Science - Applies concepts of machine learning, data analytics, and deep learning in health sciences and biomedical data. Covers topics such as predictive health analysis, medical image analysis, and genome structure prediction using predictive modeling.

6. Biomedical Engineering Mechanics - Examines biomedical engineering mechanics, focusing on biomedical devices, biomaterials, and hard and soft biological tissues. Covers topics such as static mechanics, motion biomechanics, and mechanics of materials supplemented with experimental design, simulation, and mechanical testing.

7. Imaging Living Systems - Examines microscopy and clinical imaging modalities in biomedical applications. Microscopy topics include optical, electron, scanning prove, and infrared. Clinical imaging techniques include x-ray, ultrasound, MRI, CT, and positron emission tomography (PET).

8. Biomedical Engineering Materials - Introduces properties, preparation, and characterization of materials prevalent in biomedical applications. Covers topics such as the chemical structure of metals, ceramics, and polymers, the bulk and surface properties of biomaterials, and biomaterial degradation and processing.

9. Biological Interactions and Testing - Applies quantitative engineering principles and bioimaging, bioassay, and biomolecule activity testing to explain interactions between materials and biological systems. Topics span protein and cell interactions with biomaterials, biomaterial implantation, wound healing and immune responses to biomaterials, thrombosis, and calcification.