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Puneet Sharma, 54689 Curtis Ave, Edison, NJ 08820

Known as:
Punett Sharma Puneet Sharme T Sharma
Related to:
Vandana M Sharma Shanming Shi 58 Pihua Shi Deepa Sharma 73 Saurabh Sharma 47 Dushyant Sharma 37 Bhavna Sharma 47

Puneet Sharma Phones & Addresses

689 Curtis Ave, Edison, NJ 08820    732-9065646   

35 River St, Jersey City, NJ 07310    201-6539395   

23 Davis Rd, Acton, MA 01720    978-2649444   

4979 72Nd East Ave, Tulsa, OK 74145    918-6227771   

4979 72Nd St E, Tulsa, OK 74145    918-6227771   

New York, NY   

Iselin, NJ   

Woodside, NY   

Work

Company: Polytechnic institute of nyu - New York, NY Oct 2010 Position: Research project

Education

School / High School: Polytechnic Institute of New York University- New York, NY Jan 2010 Specialities: MS in Telecommunication Networks

Skills

TECHNICAL EXPERTIES 1) Tools and Applications: Nmap • Wireshark • OpenVAS • NetBeans • Adobe • Toad • Back Track. 2) Systems: Windows • UNIX • MacOS. 3) Languages: HTML • SQL • ORACLE • VBScript • C/C++ • python 4) Major: TCP/IP • Network Security.
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Career records & work history

Lawyers & Attorneys

Puneet Sharma Photo 1

Puneet Sharma - Lawyer

ISLN:
1000783806
Admitted:
2017

Medicine Doctors

Puneet Sharma

Specialties:
Cardiovascular Disease
Work:
Sanford Aberdeen Clinic
3015 3 Ave SE STE 100, Aberdeen, SD 57401
605-2265500 (phone) 605-7251761 (fax)
Education:
Medical School
P T B D S Postgrad Inst of Med Sci, M Dayanand Univ, Rohtak, Haryana, India
Graduated: 1996
Procedures:
Cardiac Rehabilitation, Angioplasty, Cardiac Catheterization, Cardiac Stress Test, Cardioversion, Continuous EKG, Echocardiogram, Electrocardiogram (EKG or ECG)
Conditions:
Acute Myocardial Infarction (AMI), Acute Pancreatitis, Angina Pectoris, Aortic Valvular Disease, Arterial Thromboembolic Disease, Atherosclerosis, Atrial Fibrillation and Atrial Flutter, Bronchial Asthma, Cardiac Arrhythmia, Cardiomyopathy, Chronic Renal Disease, Conduction Disorders, Congenital Anomalies of the Heart, Diabetes Mellitus (DM), Disorders of Lipoid Metabolism, Endocarditis, Fractures, Dislocations, Derangement, and Sprains, Heart Failure, Hypertension (HTN), Ischemic Heart Disease, Mitral Valvular Disease, Paroxysmal Supreventricular Tachycardia (PSVT), Pulmonary Embolism, Substance Abuse and/or Dependency, Valvular Heart Disease, Venous Embolism and Thrombosis
Languages:
English
Description:
Dr. Sharma graduated from the P T B D S Postgrad Inst of Med Sci, M Dayanand Univ, Rohtak, Haryana, India in 1996. He works in Aberdeen, SD and specializes in Cardiovascular Disease. Dr. Sharma is affiliated with Sanford Aberdeen Medical Center.

Puneet Sharma resumes & CV records

Resumes

Puneet Sharma Photo 46

Puneet Sharma - Weehawken, NJ

Work:
Polytechnic Institute of NYU - New York, NY Oct 2010 to Dec 2010
Research Project Infosys Technologies Limited - INDIA Oct 2007 to Jun 2010
Software Engineer Bharti Airtel Limited - INDIA Jun 2006 to Jul 2006
Trainee Bharat Sanchar Nigam Limited - INDIA Jun 2005 to Jul 2005
Trainee
Education:
Polytechnic Institute of New York University - New York, NY Jan 2010 to Jan 2012
MS in Telecommunication Networks Institute of Technology and Management Jan 2003 to Jan 2007
BE in Electronics and Communication Engineering
Skills:
TECHNICAL EXPERTIES 1) Tools and Applications: Nmap, Wireshark, OpenVAS, NetBeans, Adobe, Toad, Back Track. 2) Systems: Windows, UNIX, MacOS. 3) Languages: HTML, SQL, ORACLE, VBScript, C/C++, python 4) Major: TCP/IP, Network Security.

Publications & IP owners

Us Patents

Method And System For Computational Modeling Of The Aorta And Heart

US Patent:
8224640, Jul 17, 2012
Filed:
Jun 29, 2010
Appl. No.:
12/825905
Inventors:
Puneet Sharma - Rahway NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Assignee:
Siemens Aktiengesellschaft - Munich
International Classification:
G06F 19/00
G06F 17/10
G06G 7/58
G06K 9/00
US Classification:
703 19, 703 2, 703 11, 382128
Abstract:
A method and system for generating a patient specific anatomical heart model is disclosed. A sequence of volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. A multi-component patient specific 4D geometric model of the heart and aorta estimated from the sequence of volumetric cardiac imaging data. A patient specific 4D computational model based on one or more of personalized geometry, material properties, fluid boundary conditions, and flow velocity measurements in the 4D geometric model is generated. Patient specific material properties of the aortic wall are estimated using the 4D geometrical model and the 4D computational model. Fluid Structure Interaction (FSI) simulations are performed using the 4D computational model and estimated material properties of the aortic wall, and patient specific clinical parameters are extracted based on the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

Method And System For Multi-Component Heart And Aorta Modeling For Decision Support In Cardiac Disease

US Patent:
8527251, Sep 3, 2013
Filed:
Apr 30, 2010
Appl. No.:
12/770850
Inventors:
Puneet Sharma - Rahway NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Andrey Torzhkov - Jersey City NJ, US
Fabian Moerchen - Rocky Hill NJ, US
Gayle M. Wittenberg - Plainsboro NJ, US
Dmitriy Fradkin - Princeton NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Assignee:
Siemens Aktiengesellschaft - Munich
International Classification:
G06G 7/58
US Classification:
703 11
Abstract:
A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A multi-component patient specific anatomical heart model is generated by integrating the individual models for each of the heart components. Fluid Structure Interaction (FSI) simulations are performed on the patient specific anatomical model, and patient specific clinical parameters are extracted based on the patient specific heart model and the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

Method And System For Comprehensive Patient-Specific Modeling Of The Heart

US Patent:
2012002, Jan 26, 2012
Filed:
Apr 20, 2011
Appl. No.:
13/091076
Inventors:
Ingmar Voigt - Erlangen, DE
Viorel Mihalef - Keasbey NJ, US
Sasa Grbic - Erlangen, DE
Dime Vitanovski - Erlangen, DE
Yang Wang - Plainsboro NJ, US
Yefeng Zheng - Dayton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Puneet Sharma - Rahway NJ, US
Tommaso Mansi - Westfield NJ, US
International Classification:
G06G 7/60
G06G 7/57
US Classification:
703 9, 703 11
Abstract:
A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step. The comprehensive patient-specific model of the heart representing anatomy, dynamics, hemodynamics, and fluid structure interaction can be used for non-invasive assessment and diagnosis of the heart, as well as virtual therapy planning and cardiovascular disease management. Parameters of the comprehensive patient-specific model are changed or perturbed to simulate various conditions or treatment options, and then the patient specific model is recalculated to predict the effect of the conditions or treatment options.

Method And System For Non-Invasive Assessment Of Coronary Artery Disease

US Patent:
2012007, Mar 22, 2012
Filed:
Sep 7, 2011
Appl. No.:
13/226779
Inventors:
Puneet Sharma - Rahway NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Viorel Mihalef - Keasbey NJ, US
Terrence Chen - Princeton NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06G 7/60
G06F 17/10
G06F 17/11
G06G 7/57
US Classification:
703 2, 703 9
Abstract:
A method and system for non-invasive patient-specific assessment of coronary artery disease is disclosed. An anatomical model of a coronary artery is generated from medical image data. A velocity of blood in the coronary artery is estimated based on a spatio-temporal representation of contrast agent propagation in the medical image data. Blood flow is simulated in the anatomical model of the coronary artery using a computational fluid dynamics (CFD) simulation using the estimated velocity of the blood in the coronary artery as a boundary condition.

Method And System For Patient-Specific Computational Modeling And Simulation For Coupled Hemodynamic Analysis Of Cerebral Vessels

US Patent:
2012020, Aug 9, 2012
Filed:
Feb 6, 2012
Appl. No.:
13/366677
Inventors:
Puneet Sharma - Rahway NJ, US
Tommaso Mansi - Westfield NJ, US
Viorel Mihalef - Keasbey NJ, US
Jingdan Zhang - Plainsboro NJ, US
David Liu - Princeton NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06G 7/60
US Classification:
703 9
Abstract:
A method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels is disclosed. An anatomical model of a cerebral vessel is extracted from 3D medical image data. The anatomical model of the cerebral vessel includes an inner wall and an outer wall of the cerebral vessel. Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations based on the anatomical model of the cerebral vessel.

Method And System For Multi-Scale Anatomical And Functional Modeling Of Coronary Circulation

US Patent:
2013013, May 23, 2013
Filed:
Nov 9, 2012
Appl. No.:
13/672781
Inventors:
Puneet Sharma - Rahway NJ, US
Lucian Mihai Itu - Princeton NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Viorel Mihalef - Keasbey NJ, US
Ali Kamen - Skillman NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
International Classification:
G06F 19/12
US Classification:
703 9
Abstract:
A method and system for multi-scale anatomical and functional modeling of coronary circulation is disclosed. A patient-specific anatomical model of coronary arteries and the heart is generated from medical image data of a patient. A multi-scale functional model of coronary circulation is generated based on the patient-specific anatomical model. Blood flow is simulated in at least one stenosis region of at least one coronary artery using the multi-scale function model of coronary circulation. Hemodynamic quantities, such as fractional flow reserve (FFR), are computed to determine a functional assessment of the stenosis, and virtual intervention simulations are performed using the multi-scale function model of coronary circulation for decision support and intervention planning.

Method And System For Patient-Specific Hemodynamic Assessment Of Virtual Stent Implantation

US Patent:
2013014, Jun 6, 2013
Filed:
Dec 6, 2011
Appl. No.:
13/311989
Inventors:
Puneet Sharma - Rahway NJ, US
Viorel Mihalef - Keasbey NJ, US
Bogdan Georgescu - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06G 7/60
G06F 17/10
US Classification:
703 2, 703 11, 703 9
Abstract:
A method and system for assessment of virtual stent implantation in an aortic aneurysm is disclosed. A patient-specific 4D anatomical model of the aorta is generated from the 4D medical imaging data. A model representing mechanical properties of the aorta wall is adjusted to reflect changes due to aneurysm growth at a plurality of time stages. A stable deformation configuration of the aorta is generated for each time stages by performing fluid structure interaction (FSI) simulations using the patient-specific 4D anatomical model at each time stage based on the adjusted model representing the mechanical properties of the aorta wall at each time stage. Virtual stent implantation is performed for each stable deformation configuration of the aorta and FSI simulations are performed for each virtual stent implantation.

Blood Flow Computation In Vessels With Implanted Devices

US Patent:
2013019, Jul 25, 2013
Filed:
Jan 18, 2013
Appl. No.:
13/744857
Inventors:
Viorel Mihalef - Keasbey NJ, US
Puneet Sharma - Rahway NJ, US
Thomas Redel - Poxdorf, DE
Ali Kamen - Skillman NJ, US
Assignee:
Siemens Aktiengesellschaft - Munich
Siemens Corporation - Iselin NJ
International Classification:
G06F 19/00
US Classification:
703 11
Abstract:
A method for modeling blood flow through a flow diverter includes receiving a medical image containing blood vessels. Vessel geometry is extracted from the received medical image. Inlets and outlets are tagged within the extracted vessel geometry. A desired flow diverter is selected. A model of the selected flow diverter is generated within the imaged blood vessel, the model representing the flow diverter as a tube having a porous surface characterized by a viscous resistance and an inertial resistance. A course of blood flow though the flow diverter is predicted based on the generated model, the extracted vessel geometry, and the tagged inlets and outlets.

Possible Relatives

David T Sharma  Davinder Sharma  Daya S Sharma  Deep S Sharma  Deepa Sharma  Deepak K Sharma  Deepali Sharma  Puneet J Singh  Puneet Ahluwalia  Puneet Arora 

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