Pranjal Sahu

Contact

Information

adhx4k@r.postjobfree.com 631-***-****

https://www3.cs.stonybrook.edu/~psahu github.com/PranjalSahu stackoverflow.com/users/907770

Interests Computer Vision, Medical Imaging, Machine Learning. Education Stony Brook University, GPA: 3.87

Ph.D. Candidate in Computer Science (2016-2021 expected), Advisor: Dr. H. Qin Dissertation Topic: Synthetic Data for Deep Learning in Medical Imaging Indian Institute of Technology Kharagpur, GPA: 8.35 B.Tech.(Hons) in Computer Science, 2013

Internships Segmentation of Lung CT in presence of severe pathologies. Siemens Healthineers, Malvern, PA. (2020)

Large lung nodule detection in Siemens Syngo CT CAD Siemens Healthineers, Malvern, PA. (2019)

Autonomous Infrastructure for Transition Prediction. Brookhaven National Laboratory, Computational Science Initiative (2017) Work

Experience

Ruby on Rails backend developer, handled consumer facing iOS and Android APIs. Oyo Rooms, Software Developer, Gurgaon, India. (2015-2016) Used Spark and HBase to create APIs for a real time mobile analytics dashboard. HT Media, Data Scientist, Gurgaon, India. (2015-2015) Handled performance related issues in Samsung Android smartphones. Samsung Research Institute, Software Engineer, Noida, India. (2013-2015) Honors and

Awards

2018 Best Demo Award in SPIE Medical Imaging Conference 2016 Computer Science Chairman Fellowship, Stony Brook University 2005 Represented (C.G.) state in National Children Science Congress Skills Python, C++, C, Matlab, Pytorch, Keras, Tensor ow, OpenCV, Numba, Android SDK, Ruby on Rails, PostgreSQL, Spark, HBase

Invited Talk Deep Learning applications in Medical Imaging, at Bell labs, Murray Hill (2019). Selected

Publications

P. Sahu, Y. Zhao, P. Bhatia, L. Bogoni, A. Jerebko, H. Qin. Structure Correction for Robust Volume Segmentation in Presence of Tumors, IEEE Journal of Biomedical and Health Informatics, J-BHI, 2020

P. Sahu, D. Yu, M. Dasari, F. Hou and H. Qin. A Lightweight Multi-section CNN for Lung Nodule Classi cation and Malignancy Estimation, IEEE Journal of Biomedical and Health Informatics, J-BHI, 2018.

P. Sahu, D. Yu and H. Qin. Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection,, SPIE, 2018 (Best Demo Award). M. Dasari, A. Bhattacharya, S. Vargas, P. Sahu, A. Balasubramanian, S. Das. Stream- ing 360 degree Videos using Super-resolution, IEEE INFOCOM 2020. Other

Publications

P. Sahu, H. Huang, W. Zhao, and H. Qin. Using virtual digital breast tomosynthesis for de-noising of low-dose projection images, International Symopsium on Biomedical Imaging, ISBI 2019.

H. Huang, X. Duan, P. Sahu, W. Zhao. E ect of scatter correction on image noise in contrast-enhanced digital breast tomosynthesis, IWBI 2020. X. Duan, P. Sahu, H. Huang, W. Zhao. Scatter correction with deep learning approach for contrast enhanced digital breast tomosynthesis (CEDBT) in both cranio-caudal (CC) view and mediolateral oblique (MLO) view, IWBI 2020 (Oral). P. Sahu, D. Yu and K. Yager, M. Dasari and H. Qin. In-Operando Tracking and Prediction of Transition in Material System using LSTM, International Workshop on Autonomous Infrastructure for Science, HPDC, 2018. N. Song, D. Craciun et al. Protein Shape Retrieval, Eurographics Workshop on 3D Object Retrieval, 3DOR 2017.

Reviewer Journal of Medical Imaging (JMI), Ultrasonics Journal, MICCAI, Medical Physics Teaching

Experience

Spring 2017 Teaching Assistant, Computer Graphics (Undergraduate) Spring 2017 Teaching Assistant, Medical Imaging (Undergraduate) Graduate

Coursework

q Computer Graphics

q Computer Vision

q Convex Optimization

q Arti cial Intelligence

q Analysis of Algorithms

q Computer Networks

Selected

Academic

Projects

Facial Action Unit Detection, Computer Vision, (Tensor ow) https://github.com/PranjalSahu/DRML

Identi cation of user actions on Android apps, Computer Networks, (Android) Point Cloud Triangulation, Computer Graphics, (OpenGL, C++) https://github.com/PranjalSahu/Point-Cloud-Triangulation Automatic construction of 3D models from Architectural Line drawings, Computer Graphics (OpenGL, C++).

https://github.com/PranjalSahu/Automatic3DfromSketch Extra

curriculars

q Silver medal in Inter Hall Thermocol and clay modelling at IIT Kharagpur q Member of Azad Hall of Residence Fine Arts team at IIT Kharagpur References Available on Request.

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