Surya Prasath
Division of Biomedical Informatics
Department of Pediatrics
Cincinnati Children's Hospital Medical Center
3333 Burnet Avenue, MLC 7024, Cincinnati OH 45229 USA
College of Medicine
University of Cincinnati
231 Albert Sabin Way, OH 45267 USA
812 Rhodes Hall, OH 45221 USA
3255 Eden Avenue, ML 0662, OH 45267 USA
+1 513-636-2755 
+1 513-636-2056 
surya.iit
surya.prasath@cchmc.org, prasatsa@uc.edu, surya.iit@gmail.com
Vita, Resume, ORCID, Twitter
Latest News
News/Student Achievements
Collaborative work with Daniel Lucas, Nathan Salomonis, and Lee Grimes labs appeared in Nature, 2021: In situ mapping identifies distinct vascular niches for myelopoiesis. Kudos to Jizhou, Qingqing from Lucas lab! Check out the eye-candy imaging data 😍 Collaborative efforts from our lab towards smartphone + machine learning driven COVID-19 diagnostics with Aashish Priye (Chemical and Environmental Engineering, UC) featured in ZDnet news! Congratulations to our Lab's EECS, UC
PhD student Balaji Iyer on getting the Graduate Student Government
(GSG) Research Fellowship 2020 - Advancement of Interdisciplinary
Research Award!
Congratulations to our Lab's BMI, CCHMC PhD student Smruti Deoghare on getting the second place in the 3 Minute Thesis (3MT) Contest at the University of Cincinnati, 2020.
Congratulations to our Lab's BMI, CCHMC PhD student Smruti Deoghare on getting nominated from the University of Cincinnati for The Midwestern Association of Graduate Schools (MAGS) Excellence in Teaching Award, 2020. See her "Teaching in Action" Youtube video!
Congratulations to our Lab's (first) MS students Mr. Srinivasa
Siddhartha Selagamsetty (MS, EECS, UC, joined a start-up), and Mr.
Harshith Bondada (MS, EECS, UC, joined Proctor & Gamble company) on
their new jobs!
Congratulations to our Lab's international exchange MS students Ms.
Asami Yonekura (EE, Mie, Japan), Mr. Kiichi Fukuma (EE, Mie, Japan) on
their new jobs! Brand new lab website coming soon!
Current students: Smruti Deoghare (3rd year PhD, BMI, CCHMC), Balaji Iyer (2nd year PhD, EECS, UC),
Xiaoxuan (Ruby) Liu (MS, EECS, UC), Ravi Yadav (MS, EECS, UC), Vasundhara Acharya (Intern, EECS), Phuc Ngoc Thien Ngyuen (Intern, EECS, UC), Shu Isaka, Tomohiro Hayakawa, Yuto Onai,
Daisuke Saito, Daiki Katsuma, Keita Haraguchi, Takumi Kosaka, Shunsuke
Okubo (MS in EE, Mie Univ., Japan, jointly with Hiroharu Kawanaka and Bruce Aronow),
Vatsal Nanda (BTech, Thapar Inst., India), Shreyash Rawat, Harsh
Panday, Venkat Mukthineni, Rahul Mukthineni (BTech, VIT Univ., India,
jointly with Vijayarajan). Grants
Active:
Received a Center for Pediatric Genomics (CpG) grant from the Cincinnati Children’s Research Foundation (CCRF) with Emily Miraldi
for methods to improve insight from (sc)ATAC-seq for regulatory networks and genetics. (2020 - 2021) Our lab is part of the Pediatric Precision Brain Health Center with Bruce Aronow, Mary Anne McMahon
for the development of longitudinal video/imaging informatics for the
precision rehabilitation of traumatic brain injury (TBI)/cerebral palsy
(CP) population.
Our lab is part of the Pediatric Cell Atlas with Nathan Salomonis, Bruce Aronow
for the development of imaging informatics for the atlas. The pediatric
atlas is part of a broader international consortium, the Human Cell Atlas (HCA). (2019-2020) Our lab is part of a Ohio Third Frontier Grant with Ryan Moore to develop automated anatomical segmentation using AI tools for cardiology. (2019 - 2020) Our lab is part of a NIH/NIAID U01 grant with Emily Miraldi on dynamic regulatory network modeling with deep learning. (2020 - 2025) Our lab is part of a U2CTR grant Data Management Coordinating Center (DMCC) NIH/NCATS Rare Diseases Clinical Research Network
for the consistent data integration workflows, management, storage,
analysis of various imaging data from 20+ different consortia spread
across the USA. (2019 - 2024) Our lab is part of a U24 grant LungMap Data Coordinating Center (DCC) from NIH/NHLBI for the imaging data collection, integration, and analysis of various consortia. (2019 - 2024)Past:
Received a Center for Pediatric Genomics (CpG) grant from the Cincinnati Children’s Research Foundation (CCRF) with Krishna Roskin
for the development of a database and machine learning tools to accelerate immunoglobulin and TCR bioinformatics. (2019 - 2020) Our lab was part of a project with Aashish Priye (PI, Chemical and Environmental Engineering, UC), Soryong Chae (Co-PI, Environmental Engineering Science) in the Digital Futures Platforms Development - Anchor Initiative (DF 19-1) at UC. (2019 - 2020) Received a CCHMC ARC grant with Jonathan Dillman, Andrew Trout for the development of machine learning tools for liver ultrasound images. (2018 - 2020)Old news, Official site @ cchmc, Official site @ UC, Wife's site, Meaning of my name. Get credit for all your research! figshare!!
Research Interests
Visual data excites me, and I am slowly turning into a data scientist now. I started in pure mathematics and spent BSc, MSc, and the first few years of my PhD learning hard-core Analysis, Topology, and Geometry - 1999 to 2009. Now in the past decade, I have spent a lot of time in learning image processing, computer vision, and machine learning techniques - 2009 to 2019. My current primary research areas are in biomedical imaging and data informatics with a strong emphasize in pediatrics - 2020 to ?. For more details about my work, please have a look at my publications list or research page.
Career Interests
Mathematics :
Algebraic Topology (Applied Topology), Algebraic Geometry, Calculus of Variations, Differential Geometry, Mathematical Logic, Differential Equations, Differential Topology, Nonlinear Partial Differential Equations (PDEs), Numerical Analysis of PDEs, Finite Element Method/Analysis (FEM/FEA), Compressed Sensing, Harmonic Analysis, Generalized Inverses.
Applied Mathematics:
Regularization Methods for Inverse Problems (Image Processing, Computer Vision, Machine Learning, Deep Learning), Robust Statistics (Markov Random Fields, M-estimators), Optimization Techniques, Mathematical Image Analysis, Visualization, Level Set Methods, Mathematics for Computational Photography.
Computers :
C, C++, Python, R, TensorFlow, OpenCV, MATLAB, Mathematica, COMSOL, POV-Ray, 3DSlicer, GIMP, Adobe Photoshop, Linux, Windows OS, MS Office, TeX/LaTeX.
Arts
Martial Arts, Origami (Intermediate Level), Tangrams, Writing, Cooking, Photography.
Links
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Caught in the web: Owls see in stereo much like humans do (JOV article) - Owls exploit the third dimension like us!!
(Other Old fishes)
Previous Affiliations:
