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Harish RaviPrakash

Post-doctoral Fellow

 

Email:

harishr@knights.ucf.edu 

 

Address:

1C515,
Center for Image Processing Services

National Institutes of Health Clinical Center

Bethesda

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Harish RaviPrakash

 

I'm a Post-doctoral Fellow at the Center for Image Processing Services in the department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center working with Dr. Nadia Biassou. My primary area of research is medical image analysis, focusing on brain image analysis. Other research interests include deep learning, survival prediction, object segmentation. 

EXPERIENCE
 
Sep 2020 -  

Post-doctoral Fellow

National Institutes of Health Clinical Center

Working on identifying post-surgical language deficits in epileptic patients using statistical machine learning approaches.

July 2019 - July 2020 

Pre-doctoral Fellow

National Institutes of Health Clinical Center

Worked on identifying functional differences in epilepsy patients using task based fMRI.

Oct 2014 - July 2015

Internship

GroboMac

Developed an algorithm to detect cotton in farms. Constructed a stereo-vision setup to return the position of the detected cotton for a robotic arm to extract in real-time. 

Jun 2014 - Sep 2014

Internship

Kaybus

Worked to develop a text detection algorithm for Document Images. We developed an algorithm to detect Text lines using Haar DWT and used Tesseract OCR to extract the text from the image. Also tested HOG based approach to detect text lines in images.

Sep 2012 - Aug 2013

Research Assistant

Rensselaer Polytechnic Institute

  1. Worked with Dr. John W. Woods to develop a Rate Allocation Algorithm for MDFEC. In this project we developed an algorithm to optimize non-convex SVC encoder data for optimal rate allocation.

  2. Worked on National Science Foundation (NSF) Grant CNS - 1018398, "NeTS : Flexible Delivery of Streaming Video using Network-Aware MD-FEC Coding.

EDUCATION
 
Aug 2015 - Aug 2020

PhD

University of Central Florida

Department of Computer Science

Advisor: Dr. Ulas Bagci

Thesis focused on multimodal multi-dimensional brain image analysis

 Jan 2011 - Dec 2011

Master of Science

Rensselaer Polytechnic Institute

Department of Electrical, Communications & Systems Engineering.

Advisor: Dr. John W. Woods

Thesis focused on Image denoising via Non-local Wiener filter.

July 2006 - July 2010

Bachelor of Engineering

M.S. Ramaiah Institute of Technology

Department of Telecommunications Engineering 

UPDATES
 
  • Guest lecture on machine learning  based MRI image analysis techniques. (Medical Image Computing (CAP 5516), Spring 2019)

  • Invited talk at the Brain Awareness Symposium, UCF 2018.

  • Awarded Certificate of Merit RSNA 2017

  • Nominated for BCI Award 2017: Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality.

  • Nominated for Best Student Paper Award IEEE SMC 2017

  • Nominated for Best Conference Paper Award IEEE SMC 2017

  • Guest lecture on MRI and fMRI modalities and their associated pre-processing techniques. (Medical Image Computing (CAP 5937), Spring 2017)

  • Florida Hospital Research Forum 2017: Poster

PUBLICATIONS
 

 

COURSES
 
 

Graduate Courses

  • Computer Vision:

    • Computer Vision

    • Advanced Computer Vision

    • 3-D Computer Vision

    • Computer Vision for Special Effects

  • Medical Image Computing

  • Algorithms:

    • Algorithm Design and Analysis

    • Computational Complexity

  • Pattern Recognition

  • Signal Processing:

    • Introduction to Stochastic Signal Processing

    • Detection and Estimation Theory

    • Digital Communication Engineering

    • Digital Image and Video Processing and Coding

  • Computation Optimization

  • Math Analysis I

Teaching Assistant Experience

  • Computational Complexity

  • Introduction to Human Computer Interaction

  • Discrete Structures I (Computer Science)

  • Managing IT Integration

  • Advanced Computer Architecture

  • Engineering Probability

  • Computer Architecture, Networks & Operating Systems

  • Computer Components and Operations

  • Introduction to Discrete Structures (Math)