Anisha Suri, Phd Email & Phone Number

California, United States

Foster City, CA, US

o Served as an SME for the Actigraph Wearable PoC project, collaborating with design, innovation, and development teams to ensure the ingestion of big data from wearable sensors, resolve data loss issues, and demonstrate gait pattern extraction during a 6-minute walk test.o Led feasibility analytics for tier-1 virology and oncology studies, including HIV.

Pittsburgh, Pennsylvania, US

• My research was primarily centered around human gait analysis at the Innovative Medical Engineering Developments (iMed) laboratory directed by Dr. Ervin Sejdic in the department of Electrical and Computer Engineering.
• Processed gait acceleration data for multiple research projects - Program for Improving Mobility in Aging, a clinical intervention to improve walking in older adults - Neural Mechanisms of Community Mobility, influence.
• Analyzed gait dynamics of older adults using data science and machine learning techniques
• Examined the relation of laboratory-measured gait quality to real-life mobility performance
• Tested open source progress in street auditing by utilizing Google Street View images
• Five research articles and one review article; four of them published, two under review

Foster City, CA, US

• Contributed to the study feasibility internalization project: optimizing clinical trials
• Identified quantifiable attributes for evaluating site and investigator performance from internal and external data sources
• Developed reusable Jupyter (python) scripts to facilitate feature engineering for investigator selection
• Demonstrated a data-driven approach by building a minimal viable product solution for selecting investigators/sites toconduct clinical studies for disease hierarchy: breast oncology
• Prepared review of scoring, ranking, and selection algorithms that can be applied in investigator/site optimization settings

Los Angeles, California, US

• The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) under USC Chan Division of Occupational Science and Occupational Therapy is devoted to enhancing neural Plasticity through noninvasive brain stimulation.
• Developed data pipeline to transform MRI and behavioral data to Brain Imaging Data Structure (BIDS)
• Developed brain lesions data set to analyze the impact of stroke on the brain and improve lesion segmentation algorithm. This data will be added to the existing large-scale ATLAS database
• Performed data quality control of FreeSurfer outputs for brain anatomical structures
• Assisted in the design, image processing, and creation of flashing lesion masks over T1 MRI still images for the Braindrles website; for improving stroke lesion segmentation quality control

Los Angeles, CA, US

I assisted in developing an algorithm for automated segmentation of cortical region of brain by applying geodesic transform. Our paper is accepted for the International Symposium on Biomedical Imaging (ISBI) conference happening in Italy during April 2019. The paper is titled 'Neonatal Brain MRI Cortical Segmentation via Geodesic Transforms'Additionally, I.

Los Angeles, California, US

• Programmed arduino elegoo to control a six degree of freedom, object grabbing robotic arm
• Mapped data from Arduino joystick, MPU 6050 sensor (gyro and accelerometer), myo armband and electromyography (EMG) sensor to control the servo motors in robotic arm
• Configured power distribution across the six servo motors for efficient load handling

New Delhi, IN

I worked under the supervision of Prof. Santanu Chaudhuri. I was mentored by Deepak Mishra and Vivek Parmar- Prepared manual for the use of Single Instruction Multiple Data (SIMD) operations to accelerate application code performance on microprocessor, AM3359, and for the use of the Keil software for microcontrollers- Implemented image processing.

Doctor Of Philosophy - Phd, Electrical And Computer Engineering

Master’S Degree, Electrical Engineering

Bachelor’S Degree, Electronics And Communication Engineering

High School