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Harish RaviPrakash
Graduate Student
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Email:
Address:
Suite 254,
Center for Research in Computer Vision
University of Central Florida
Orlando
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Harish RaviPrakash
I'm a PhD student at the Center for Research in Computer Vision, University of Central Florida working with Dr. Ulas Bagci. 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
July 2019 -
Pre-doctoral Fellow
National Institutes of Health Clinical Center
Working on identifying functional differences in epilepsy patients using task based fMRI.
Oct 2014 - July 2015
Internship
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
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
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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.
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Worked on National Science Foundation (NSF) Grant CNS - 1018398, "NeTS : Flexible Delivery of Streaming Video using Network-Aware MD-FEC Coding.
EDUCATION
Aug 2015-
PhD
University of Central Florida
Department of Computer Science
Advisor: Dr. Ulas Bagci
Thesis focusing 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.
2006-2010
Bachelor of Engineering
M.S. Ramaiah Institute of Technology
Department of Telecommunications Engineering
UPDATES
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Guest lecture on machine learning based MRI image analysis techniques. (Medical Image Computing (CAP 5516), Spring 2019)
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Invited talk at the Brain Awareness Symposium, UCF 2018.
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Awarded Certificate of Merit RSNA 2017
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Nominated for BCI Award 2017: Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality.
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Nominated for Best Student Paper Award IEEE SMC 2017
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Nominated for Best Conference Paper Award IEEE SMC 2017
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Guest lecture on MRI and fMRI modalities and their associated pre-processing techniques. (Medical Image Computing (CAP 5937), Spring 2017)
PUBLICATIONS
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"Deep Learning for Functional Brain Connectivity: Are We There Yet?" Harish RaviPrakashArjun Watane, Sachin Jambawalikar, and Ulas Bagci. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, pp. 347-365. Springer, Cham, 2019.
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"Deep Learning provides exceptional accuracy to ECoG-based Functional Language Mapping for epilepsy surgery." Harish RaviPrakash, Milena Korostenskaja, Eduardo Martinez Castillo, Ki Hyeong Lee, Christine Maria Salinas, James Baumgartner, Concetto Spampinato, and Ulas Bagci. bioRxiv(2018): 497644.
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"Virtual Radiologists: Current Status of Deep Learning in Radiology and Its Future Trends" Sarfaraz Hussein, Aliasghar Mortazi, Harish RaviPrakash, Naji Khosravan, George .Z. Papadakis, Uygar Teomete, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2018.
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"Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks" Burt, Jeremy R., Neslisah Torosdagli, Naji Khosravan, Harish RaviPrakash, Aliasghar Mortazi, Fiona Tissavirasingham, Sarfaraz Hussein, and Ulas Bagci. The British journal of radiology 91, no. xxxx (2018): 20170545
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"Deep Learning Applications in Radiology: Recent Developments, Challenges and Potential Solutions" Sarfaraz Hussein, Aliasghar Mortazi, Harish RaviPrakash, Jeremy R. Burt, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2017.
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"Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning" Harish RaviPrakash, Milena Korostenskaja, Ki Lee, James Baumgartner, Eduardo Castillo, Ulas Bagci. IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC) 2017.
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"Deep Learning in Radiology: Recent Advances, Challenges and Future Trends" Sarfaraz Hussein, Harish RaviPrakash, Uygar Teomete, Ulas Bagci. Annual Meeting of the Radiological Society of North America (RSNA) 2016.
COURSES
Graduate Courses
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Computer Vision:
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Computer Vision
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Advanced Computer Vision
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3-D Computer Vision
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Computer Vision for Special Effects
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Medical Image Computing
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Algorithms:
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​Algorithm Design and Analysis
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Computational Complexity
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Pattern Recognition
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Signal Processing:
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Introduction to Stochastic Signal Processing​
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Detection and Estimation Theory
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Digital Communication Engineering
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Digital Image and Video Processing and Coding
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Computation Optimization
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Math Analysis I
Teaching Assistant Experience
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Computational Complexity
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Introduction to Human Computer Interaction
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Discrete Structures I (Computer Science)
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Managing IT Integration
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Advanced Computer Architecture
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Engineering Probability
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Computer Architecture, Networks & Operating Systems
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Computer Components and Operations
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Introduction to Discrete Structures (Math)