BackgroundCheck.run
Search For

Ravi M Kant, 8510725 Carlos Way, Rancho Cordova, CA 95670

Ravi Kant Phones & Addresses

10725 Carlos Way, Rncho Cordova, CA 95670    916-6354182   

10700 Coloma Rd, Rancho Cordova, CA 95670    916-6358452   

Shakopee, MN   

Burnsville, MN   

Davis, CA   

Sacramento, CA   

Work

Company: Mphasis - HP, IN Position: Cso

Education

School / High School: Medicaps Institute of Techno Management(IIFTR)- Indore, Madhya Pradesh Jan 2010 Specialities: MBA 3rd sem in Foreign Trade

Skills

Basics • MS Office • Power Point • Internet • Tally • Good Typing speed.

Mentions for Ravi M Kant

Career records & work history

Medicine Doctors

Ravi Kant

Specialties:
Psychiatry, Child & Adolescent Psychiatry
Work:
Neuropsychiatry Center
300 Old Pond Rd STE 201, Bridgeville, PA 15017
412-2207323 (phone) 412-2207325 (fax)
Education:
Medical School
Christian Med Coll, Punjab Univ, Ludhiana, Punjab, India
Graduated: 1982
Procedures:
Psychiatric Diagnosis or Evaluation, Psychiatric Therapeutic Procedures
Conditions:
Anxiety Dissociative and Somatoform Disorders, Anxiety Phobic Disorders, Attention Deficit Disorder (ADD), Depressive Disorders, Obsessive-Compulsive Disorder (OCD), Post Traumatic Stress Disorder (PTSD), Anorexia Nervosa, Autism, Bipolar Disorder, Dementia, Eating Disorders, Schizophrenia
Languages:
English
Description:
Dr. Kant graduated from the Christian Med Coll, Punjab Univ, Ludhiana, Punjab, India in 1982. He works in Bridgeville, PA and specializes in Psychiatry and Child & Adolescent Psychiatry.

Ravi Kant

Specialties:
Endocrinology, Diabetes & Metabolism
Work:
AnMed Health Endocrinology
2000 E Greenville St STE 3100, Anderson, SC 29621
864-5124160 (phone) 864-5124165 (fax)
Education:
Medical School
Univ Coll of Med Sciences, Delhi Univ, New Delhi, Delhi, India
Graduated: 2006
Conditions:
Benign Thyroid Diseases, Diabetes Mellitus (DM), Disorders of Lipoid Metabolism, Hyperthyroidism, Hypothyroidism, Metabolic Syndrome, Non-Toxic Goiter, Polycystic Ovarian Syndrome (PCOS), Thyroid Cancer, Thyroiditis
Languages:
English
Description:
Dr. Kant graduated from the Univ Coll of Med Sciences, Delhi Univ, New Delhi, Delhi, India in 2006. He works in Anderson, SC and specializes in Endocrinology, Diabetes & Metabolism. Dr. Kant is affiliated with Anmed Health.

Ravi Kant resumes & CV records

Resumes

Ravi Kant Photo 43

Ravi Kant - US

Work:
MPHASIS - HP, IN
CSO
Education:
Medicaps Institute of Techno Management(IIFTR) - Indore, Madhya Pradesh Jan 2010 to Jan 2012
MBA 3rd sem in Foreign Trade
I.P.S Academy - Indore, Madhya Pradesh Jan 2006 to Jan 2009
B.Com in Foreign Trade
U.P. Board Allahabad
Skills:
Basics, MS Office, Power Point, Internet, Tally, Good Typing speed.

Publications & IP owners

Wikipedia

Ravi Kant Photo 52

Ravi Kant

Ravi Kant is the Vice Chairman and a former managing director of TATA Motors, India's largest automobile manufacturing company. He is also the chairman of Tata

Us Patents

Method And System For Detecting Abnormal Operation In A Hydrocracker

US Patent:
8010292, Aug 30, 2011
Filed:
Sep 27, 2007
Appl. No.:
11/863169
Inventors:
Ravi Kant - Savage MN, US
John Philip Miller - Eden Prairie MN, US
Assignee:
Fisher-Rosemount Systems, Inc. - Austin TX
International Classification:
G01V 1/50
US Classification:
702 13, 702 12, 702 35, 702130, 702185, 702189
Abstract:
A system and method for detecting abnormal operation of a hydrocracker includes a hydrocracker model. The model may be configurable to include one or more regression models corresponding to different operating regions of the portion of the hydrocracker. The system and method may also determine if a monitored temperature difference variable deviates significantly from the temperature difference variable predicted by the model. If there is a significant deviation, this may indicate an abnormal operation.

Method And System For Detecting Abnormal Operation In A Hydrocracker

US Patent:
8239134, Aug 7, 2012
Filed:
Aug 10, 2011
Appl. No.:
13/206813
Inventors:
Ravi Kant - Savage MN, US
John Philip Miller - Eden Prairie MN, US
Assignee:
Fisher-Rosemount Systems, Inc. - Round Rock TX
International Classification:
G01V 9/00
US Classification:
702 13, 702 12, 702 35, 702130, 702185, 702189
Abstract:
A system and method for detecting abnormal operation of a hydrocracker includes a hydrocracker model. The model may be configurable to include one or more regression models corresponding to different operating regions of the portion of the hydrocracker. The system and method may also determine if a monitored temperature difference variable deviates significantly from the temperature difference variable predicted by the model. If there is a significant deviation, this may indicate an abnormal operation.

Methods And Systems For Detecting Deviation Of A Process Variable From Expected Values

US Patent:
8606544, Dec 10, 2013
Filed:
Jul 25, 2006
Appl. No.:
11/492460
Inventors:
John P. Miller - Eden Prairie MN, US
Ravi Kant - Savage MN, US
Assignee:
Fisher-Rosemount Systems, Inc. - Round Rock TX
International Classification:
G06F 11/30
US Classification:
702185
Abstract:
In methods and systems that may facilitate detecting abnormal operation in a process plant, values of a process variable are analyzed to determine whether they significantly deviate from expected values. If there is a significant deviation, an indicator may be generated. Analyzing the process variable may include, for example, utilizing a plurality of thresholds determined based on statistics of the process variable. Analyzing the process variable may also include, for example, determining whether a first number of values of the process variable are in a first region, and whether a second number of values are in a second region.

Methods And Systems For Detecting Deviation Of A Process Variable From Expected Values

US Patent:
2008002, Jan 31, 2008
Filed:
Jul 25, 2006
Appl. No.:
11/492347
Inventors:
John P. Miller - Eden Prairie MN, US
Ravi Kant - Savage MN, US
Assignee:
FISHER-ROSEMOUNT SYSTEMS, INC. - Austin TX
International Classification:
G21C 17/00
US Classification:
702182, 702183
Abstract:
In methods and systems that may facilitate detecting abnormal operation in a process plant, values of a process variable are analyzed to determine whether they significantly deviate from expected values. If there is a significant deviation, an indicator may be generated. Analyzing the process variable may include, for example, determining whether a number of values of the process variable are increasingly deviating from expected values, or determining whether the process variable is cycling. Analyzing the process variable may also include, for example, processing and analyzing the process variable to determine whether the process is in a normal state, one or more abnormal states, or an indeterminate state.

Abnormal Situation Prevention In A Coker Heater

US Patent:
2008008, Apr 3, 2008
Filed:
Sep 28, 2007
Appl. No.:
11/864695
Inventors:
Ravi KANT - Savage MN, US
John Philip Miller - Eden Prairie MN, US
Joseph H. Sharpe - Glen Allen VA, US
Assignee:
FISHER-ROSEMOUNT SYSTEMS, INC. - Austin TX
International Classification:
G06F 17/18
G06F 15/00
G06G 7/48
US Classification:
702179, 702183, 703 9
Abstract:
A system and method to facilitate the monitoring and diagnosis of a process control system and any elements thereof is disclosed with a specific premise of abnormal situation prevention in a coker heater of a coker unit in a product refining process. Monitoring and diagnosis of faults in a coker heater includes statistical analysis techniques, such as regression. In particular, on-line process data is collected from an operating coker heater in a coker area of a refinery. A statistical analysis is used to develop a regression model of the process. The output may use a variety of parameters from the model and may include normalized process variables based on the training data, and process variable limits or model components. Each of the outputs may be used to generate visualizations for process monitoring and diagnostics and perform alarm diagnostics to detect abnormal situations in the process.

Main Column Bottoms Coking Detection In A Fluid Catalytic Cracker For Use In Abnormal Situation Prevention

US Patent:
2008011, May 22, 2008
Filed:
Sep 27, 2007
Appl. No.:
11/862864
Inventors:
John P. Miller - Eden Prairie MN, US
Ravi Kant - Savage MN, US
Assignee:
FISHER-ROSEMOUNT SYSTEMS, INC. - Austin TX
International Classification:
C10B 47/00
G06F 15/00
US Classification:
201 1, 702179, 702183
Abstract:
A method and system for detecting and/or predicting abnormal solids buildup in a main fractionator bottom of a fluid catalytic cracking system measures one or more process parameters of the fluid catalytic cracking system (such as a differential pressure across a reactor cyclone, a noise after the main fractionator bottom, a heat transfer at the steam generator, and/or a differential pressure across the main fractionator) and determines abnormal solids buildup when the measured process parameter(s) changes significantly from a baseline value. The method and system implements algorithms using computing devices to detect or predict an abnormal condition based on the change in the process parameter.

Detection Of Catalyst Losses In A Fluid Catalytic Cracker For Use In Abnormal Situation Prevention

US Patent:
2008012, May 22, 2008
Filed:
Sep 26, 2007
Appl. No.:
11/861985
Inventors:
Ravi Kant - Savage MN, US
John P. Miller - Eden Prairie MN, US
Assignee:
FISHER-ROSEMOUNT SYSTEMS, INC. - Austin TX
International Classification:
C10B 49/00
G06F 17/18
G01L 19/00
G06F 15/00
US Classification:
702138, 201 1, 702179
Abstract:
A method and system for detecting and/or predicting abnormal levels of catalyst loss in a fluid catalytic cracking unit. The method and system measures a differential pressure across portions of a fluid catalytic cracker, such as a reactor cyclone or a regenerator cyclone, and determines abnormal catalyst loss when the differential pressure changes significantly from a baseline differential pressure. The claimed method and system implements algorithms using computing devices to detect or predict an abnormal condition based on the change in a monitored differential pressure in a fluid catalytic cracking unit.

Automatic Determination Of The Order Of A Polynomial Regression Model Applied To Abnormal Situation Prevention In A Process Plant

US Patent:
2009009, Apr 9, 2009
Filed:
Oct 5, 2007
Appl. No.:
11/973165
Inventors:
Ravi Kant - Savage MN, US
John P. Miller - Eden Prairie MN, US
Assignee:
FISHER-ROSEMOUNT SYSTEMS, INC. - Austin TX
International Classification:
G05B 13/04
US Classification:
700 29
Abstract:
A system for preventing abnormal situations in process plants is provided. A polynomial regression model is employed to predict values of a monitored variable based on measured samples of a load variable. An abnormal situation is detected when a predicted value of the monitored variable differs from a measured value of the monitored variable by more than a predetermined amount. The system employs one or more algorithms for automatically determining an optimal order or degree of the polynomial regression model.

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.