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プロフィール詳細

プロジェクトを作成

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Dr. Abhishek R.に依頼

Canada

プロフィール概要

Have Phd. in Physics (Astrophysics) with extensive programming, image processing, data modeling, mathematical & numerical analysis skills. Experienced in development of Signal Processing, image processing & machine learning algorithms. Also worked on financial modeling (interest rate modeling), numerical algorithms, nonlinear optimization & Non Linear programming etc.

専門分野

• ☆ Signal Processing
• ☆ Image Processing
• ☆ Machine Learning
• ☆ Financial Modeling
• ☆ Nonlinear Regression
• ☆ Medical Imaging/Radiology

サービス

• Writing
• Consulting
• Data & AI
• Product Development

職務経験

Research Lead

Carl Zeiss Meditec AG

9月 2015 - 7月 2017

Scientist Systems Image Quality and Physics

GE Healthcare

11月 2011 - 9月 2015

Senior Team Lead

Persistent Systems Ltd

2月 2010 - 11月 2011

Research Geophysicist

Mindset Seismic Pvt Ltd

11月 2008 - 1月 2010

学歴

Phd (Physics)

Inter-University Centre for Astronomy and Astrophysics

8月 2002 - 7月 2008

MSc (Physics) (Physics)

Indian Institute of Technology Kanpur

8月 2000 - 5月 2002

BE (Production Engg.)

National Institute of Technology Jamshedpur

8月 1996 - 5月 2000

認定資格

• 認定資格の詳細は未入力です。

出版物

CONFERENCE PAPER

(2017). Image Quality Assessment of Fundus Images Using Deep Convolutional Neural Networks with Extremely Few Parameters. ARVO Annual meeting 2017 Baltimore, MD USA.

(2017). A Machine Learning Based Automated Image Quality Assessment Tool for Color Fundus Images Taken with VISUSCOUT 100 Handheld Camera. ARVO Annual meeting 2017 Baltimore, MD USA.

(2017). An automated method of Diabetic Retinopathy screening using deep neural networks (DNNs) for color fundus photographs using VISUSCOUT fundus camera. ARVO Asia 2017.

PATENT

(2014). METHOD AND APPARATUS FOR DATA CONVERSION IN AN UNEQUAL GAMMA ANGLE CT SYSTEM .

JOURNAL ARTICLE

Abhishek Rawat, Yogesh Wadadekar, Duilia De Mello(2009). {REST}-{FRAME} {UV} {VERSUS} {OPTICAL} {MORPHOLOGIES} {OF} {GALAXIES} {USING} S{\'{E}}{RSIC} {PROFILE} {FITTING}: {THE} {IMPORTANCE} {OF} {MORPHOLOGICALK}-{CORRECTION} . The Astrophysical Journal. 695. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1315--1326. {IOP} Publishing

A. Rawat, Francois Hammer, Ajit K. Kembhavi, Hector Flores(2008). Toward a Robust Estimate of the Merger Rate Evolution Using Near-{IR} Photometry . The Astrophysical Journal. 681. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1089--1098. {IOP} Publishing

B. Neichel, F. Hammer, M. Puech, H. Flores, M. Lehnert, A. Rawat, Y. Yang, R. Delgado, P. Amram, C. Balkowski, et al.(2008). {IMAGES} . Astronomy {\&} Astrophysics. 484. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 159--172. {EDP} Sciences

Y. Yang, H. Flores, F. Hammer, B. Neichel, M. Puech, N. Nesvadba, A. Rawat, C. Cesarsky, M. Lehnert, L. Pozzetti, et al.(2007). {IMAGES}. I. Strong evolution of galaxy kinematics since z = 1 . Astronomy {\&} Astrophysics. 477. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 789--805. {EDP} Sciences

Abhishek Rawat, Francois Hammer, Ajit K Kembhavi, Hector Flores(2007). Towards a robust estimate of the merger rate evolution using near-{IR} photometry . Proceedings of the International Astronomical Union. 3. (S245). Cambridge University Press ({CUP})

A. Rawat, A. K. Kembhavi, F. Hammer, H. Flores, S. Barway(2007). Unravelling the morphologies of luminous compact galaxies using the {HST}/{ACS} {GOODS} survey . Astronomy {\&} Astrophysics. 469. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 483--501. {EDP} Sciences

C. D. Ravikumar, M. Puech, H. Flores, D. Proust, F. Hammer, M. Lehnert, A. Rawat, P. Amram, C. Balkowski, D. Burgarella, et al.(2007). New spectroscopic redshifts from the {CDFS} and a test of the cosmological relevance of the {GOODS}-South field . Astronomy {\&} Astrophysics. 465. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1099--1108. {EDP} Sciences

X. Z. Zheng, F. Hammer, H. Flores, F. Assémat, A. Rawat(2005). {HST}/{WFPC}2 morphologies and bar structures of field galaxies at 0.4 {\textdollar}{\textbackslash}mathsf$\lbrace$$\less$$\rbrace${\textdollar} z {\textdollar}{\textbackslash}mathsf$\lbrace$$\less$$\rbrace${\textdollar} 1 . Astronomy {\&} Astrophysics. 435. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 507--519. {EDP} Sciences