Santa Clara University - Leavey School of Business 2007 - 2009
M.B.A, Marketing, Finance, Entrepreneurship
National Institute of Technology Warangal 1993 - 1997
B.Tech, Electronics & Communications
Skills:
Smart Phone Integration Cloud Computing Web Services Virtualization Technology Collaboration Video Conferencing Paas Product Management Saas Agile Methodologies Soa Software Development Strategy Mobile Technology Go To Market Strategy Pre Sales Product Development Mobile Applications Enterprise Software Cross Functional Team Leadership Software As A Service
Interests:
Animal Welfare Children Environment
Certifications:
Pragmatic Marketing Pragmatic Marketing Certified – Level V (Pmc-V)
Jan 2011 to Present Product ManagementOracle Redwood Shores, CA 2006 to Dec 2010 Senior Product ManagerOracle Redwood Shores, CA 2002 to 2006 Senior Member of Technical StaffGE Financial Assurance / Satyam Richmond, VA 2001 to 2002 Senior Software ConsultantAmerican Marketing Association / Satyam Chicago, IL 2000 to 2001 Software ConsultantState Farm Insurance / Satyam Hyderabad, Andhra Pradesh 1997 to 2000 Software Consultant Technical Lead
Education:
Leavey School of Business 2007 to 2009 Master of Business AdministrationNational Institute of Technology 1993 to 1997 Bachelor of Technology in Electronics & CommunicationsSanta Clara University Santa Clara, CA
- Cupertino CA, US Thomas J. SULLIVAN - San Jose CA, US Xiaoyu GUO - Santa Clara CA, US Paras SAMSUKHA - San Jose CA, US Anirban CHATTERJEE - San Jose CA, US
International Classification:
A61B 5/00 A61B 5/24
Abstract:
Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.
- Cupertino CA, US Thomas J. SULLIVAN - San Jose CA, US Xiaoyu GUO - Santa Clara CA, US Paras SAMSUKHA - San Jose CA, US Anirban CHATTERJEE - San Jose CA, US
International Classification:
A61B 5/00
Abstract:
Detecting user contact with one or more electrodes of a physiological signal sensor can be used to ensure physiological signals measured by the physiological signal sensor meet waveform characteristics (e.g., of a clinically accurate physiological signal). In some examples, a mobile and/or wearable device can comprise sensing circuitry, stimulation circuitry, and processing circuitry. The stimulation circuit can drive one or more stimulation signals on one or more electrodes, the resulting signal(s) can be measured (e.g., by the sensing circuitry), and the processing circuitry can determine whether a user is in contact with the electrode(s). Additionally or alternatively, in some examples, mobile and/or wearable device can comprise saturation detection circuitry, and the processing circuitry can determine whether the sensing circuitry is saturated.
- Cupertino CA, US Anirban Chatterjee - Santa Clara CA, US
International Classification:
G06F 3/041 G06F 3/044 G02F 1/1333 G02F 1/1343
Abstract:
An electronic device includes a surface such as a cover glass, a first group of electrodes coupled to the surface and arranged in a first direction with respect to the surface, a second group of electrodes coupled to the surface and arranged in a second direction with respect to the surface, a dielectric separating the first and second groups of electrodes, and a controller electrically connected to the first and second groups of electrodes. The controller is operable to detect a touch of an object to the surface using a mutual capacitance between the first and second groups of electrodes and determine a non-binary amount of force exerted based on resistances of the first and second groups of electrodes.
Anirban Chatterjee, project lead of IBM's Virtual Briefing Center (VBC), said in his July post that the Blue Waters Project supercomputer was being built with POWER7 processors, the same type used in Jeopardy champ Watson.