Biomedical Engineering, Medical devices, Machine learning

KARTHICK RAJA NALLADEVAN

**** * ****** ***, *** *32, Campbell, California - 95008

352-***-**** ac1ne9@r.postjobfree.com https://www.linkedin.com/in/karthickrajanalladevan

Dedicated team player with proven leadership and communication skills. Seeking an opportunity to leverage my technical expertise in Biomedical Engineering, Statistics, Process control and Instrumentation Engineering to contribute towards the growth of the organization while honing my skills in the process.

EDUCATION

University of Florida, Gainesville, FL May 2017

Master of Science in Biomedical Engineering CGPA: 3.74/4

Minor - Entrepreneurship

Velammal Engineering College, Anna University, Chennai, India May 2015

Bachelor of Engineering in Electronics and Instrumentation Engineering CGPA: 7.41/10

RELEVANT COURSES

Statistical methods for Biomedical Engineering

Biomedical Engineering and Physiology

Biomedical Instrumentation

Neural Instrumentation

Clinical Preceptorship

Machine Learning Health

Image Processing/Computer Vision

BME Seminar (Research)

Data Math

Business Plan Lab

Entrepreneurship Opportunities

Entrepreneurship Profitability Metrics

PROJECT EXPERIENCE

Breast cancer abnormality types detection, Gainesville, Florida Jan 2017 – May 2017

Achieved in formulating an algorithm to classify 7 different types of abnormalities in breast cancer image using MIAS mini mammography database consisting of 322 images. Experimented with different machine learning approaches and deep learning techniques for the classification task and evaluated their performance.

KNN and deep learning proved to be effective in this classification task than other methods with 85% and 82% respectively.

Deep learning for breast cancer detection (Dream Challenge), Gainesville, Florida Sep 2016 – Dec 2016

Successfully designed a deep learning algorithm to classify mammograms being cancer or non-cancerous using the dataset from GroupHealth consisting of 86,894 patients representing 640,905 declassified images.

Experimented with different types of CNN models in predicting the accuracy. VGG-19 model yielded better accuracy than other preliminary models designed with a better accuracy of 75.63%.

Potentiometric way to operatively determine the strain on the bone, Gainesville, Florida Sep 2016 – Dec 2016

Resolved the issue of determining a quick, cost effective and efficient way in estimating the strain on the femur during surgery by using string potentiometers on the grooves of the fixation plate.

Voltage readings are obtained when the screws are drilled on the fixation plate due to piezoelectric principle and corresponding strain can be placed on the fixation plate during surgery to promote better healing.

Benchside pH detecting mouth guard for predicting caries, Gainesville, Florida Sep 2016 – Dec 2016

Succeeded in formulating a quick, inexpensive, chairside technique to determine potential caries among children using the pH values of the tooth.

Change in color of the pHion strip which are placed on the mouth guards corresponds to the demineralization of the tooth which is used as an indicator to predict the vulnerability of a tooth to potential caries.

Contactless Electroencephalography, Gainesville, Florida Aug 2015 – Dec 2015

Developed a solution to eliminate the sweat, moisture interaction and the need for conductive gel interface while recording neural activity using Electroencephalography (EEG).

Capacitive coupling is the central concept behind this idea where circuits are built on small PCB boards and placed atop capacitive sensors. This gets rid of the artifacts from sweat and moisture while also reducing the patient discomfort due to the conductive gel interface.

Performance analysis of Neural Networks in detection of Neural disorders, Chennai, India Dec 2014 – Apr 2015

Succeeded in determining the accuracies of various training methods of Neural networks in detecting tumor and epilepsy signals.

Backpropagation, Probabilistic neural network, Self-organizing map were used for this task. Backpropagation proved better in classifying the signals than the other techniques with an accuracy of 90.9%.

RESEARCH EXPERIENCE

Graduate Student Assistant, Medical Image and Computational Analysis lab, Gainesville, Florida May 2016 – May 2017

•Worked in Medical Image and Computational Analysis Laboratory under Dr. Walter O’Dell as Imaging and Modeling Technician, research work involving in extending the metastasis dissemination model of Coumans et al using patient data which involves quantifiable data on patterns, size, growth rates of metastases, medical histories and estimating the time and rate of growth of metastasis spawned from the breast tumor.

SKILLS

•Proficient: Python, MATLAB.

•Intermediate: LabVIEW, Statistica, Minitab

•Basic: C, C++, Embedded C

LEADERSHIP

Student Chairman, Department of Electronics and Instrumentation Engineering, Chennai, India Jul 2014 – May 2015

•Represented the Department of Electronics and Instrumentation Engineering student body when needed

•Coordinated with personnel in drafting agenda for the department

•Conducted and chaired monthly student council meetings

•Attended monthly meetings with the Principal to assure that decisions reflect student body desires

Symposium Coordinator, Department of Electronics and Instrumentation Engineering, Chennai, India Nov 2014 – Jan 2015

•Oversaw preparation of program proceedings book and content

•Developed and solicited symposium advertising and sponsorships

•Designed and tabulated symposium evaluation forms

•Managed post-conference activities

AWARDS / AFFILIATIONS

•Recipient, Academic Achievement Award from University of Florida Aug 2015

•Awarded, 3rd prize in IEEE mini project event Jul 2014

•Awarded, 3rd prize in mindboggling conducted by Computer Society of India Jul 2014

•Member, Biomedical Engineering Society and Society for Biomaterials Aug 2016 – May 2017

•Member, Entrepreneur Club, University of Florida Jan 2017 – May 2017

•Member, International Youth Fellowship.

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