Rajat Bhattacharjee - Mountain View CA, US Aranyak Mehta - Mountain View CA, US Benyu Zhang - Fremont CA, US Vivek Raghunathan - Fremont CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707713, 707706, 707722, 707737, 707758, 707781
Abstract:
Methods, including computer programs encoded on a computer storage medium, for enhancing selecting of relevant and diverse advertisements by selecting additional queries relating to an initial query, and by filtering additional queries and their associated advertisements.
Rajat Bhattacharjee - Mountain View CA, US Aranyak Mehta - Mountain View CA, US Benyu Zhang - Fremont CA, US Vivek Raghunathan - Fremont CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707767, 707722
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enhancing selecting relevant and diverse advertisements. In one aspect, a method includes receiving an initial query, selecting one or more additional queries relating to the initial query, including selecting a first additional query and a second diverse additional query, identifying one or more content items for each of the additional queries, the one or more content items forming a content block, and providing a content block and associated additional query to be displayed at a client device along with search results associated with the initial query.
Athermal Photonic Waveguide With Refractive Index Tuning
- Milano, IT Francesco Morichetti - Novara, IT Stefano Grillanda - Cernusco sul Naviglio, IT Lionel C. Kimerling - Concord MA, US Andrea Melloni - Milano, IT Jurgen Michel - Arlington MA, US Vivek Raghunathan - Cambridge MA, US Vivek Singh - Cambridge MA, US
Assignee:
POLITECNICO DI MILANO - Milano MASSACHUSETTS INSTITUTE OF TECHNOLOGY - Cambridge MA
International Classification:
G02B 6/036 G02B 6/02
US Classification:
385126
Abstract:
In a photonic waveguide, there is provided an undercladding layer and a waveguide core, having a cross-sectional height and width, that is disposed on the undercladding layer. The waveguide core comprises a waveguide core material having a thermo-optic coefficient. A refractive index tuning cladding layer is disposed on top of the waveguide core. The refractive index tuning cladding layer comprises a refractive index tuning cladding material having an adjustable refractive index and an absorption length at a refractive index tuning radiation wavelength. A thermo-optic coefficient compensation cladding layer is disposed on top of the refractive index tuning cladding layer. The thermo-optic coefficient compensation cladding layer comprises a thermo-optic coefficient compensation material having a thermo-optic coefficient that is of opposite sign to the thermo-optic coefficient of the waveguide core material. The thermo-optic coefficient compensation cladding layer provides at least partial compensation for the waveguide core thermo-optic coefficient.
Dynamically Selecting And Presenting Content Relevant To User Input
Ashish Agarwal - Sunnyvale CA, US Arash Baratloo - Mountain View CA, US Qicheng Ma - San Francisco CA, US Vivek Raghunathan - Fremont CA, US Chiu Wah Kelvin So - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/00 G06F 17/30
US Classification:
705 263, 705 261, 705 271, 705 1454, 705 1471
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media are provided. One example method includes receiving a textual input that forms a part of a user request, the textual input in the form of a prefix that when complete constitutes the request. The method further includes identifying completions based on the prefix, determining one or more content items associated with each completion, computing initial scores including a score for each content item-completion pair including determining a likelihood that a given completion represents the request and a quality of the content item as compared to the completion, computing final scores including scores for each prefix-content item pair using the initial scores, computing a bid for each content item, running an auction to select a content item based on the bids and final scores, and identifying display data associated with the selected content item.
Silicon Photonic Interposer With Two Metal Redistribution Layers
- Altrincham, Cheshire, GB John Paul DRAKE - Shadow Hills CA, US Ying LUO - San Diego CA, US Vivek RAGHUNATHAN - Mountain View CA, US Brett SAWYER - Pasadena CA, US
International Classification:
H01L 23/00 H01L 25/16
Abstract:
A silicon integrated circuit. In some embodiments, the silicon integrated circuit includes a first conductive trace, on a top surface of the silicon integrated circuit, a dielectric layer, on the first conductive trace, and a second conductive trace, on the dielectric layer, connected to the first conductive trace through a first via.
- London, GB SEUNGJAE LEE - Pasadena CA, US Chia-Te Chou - Pasadena CA, US Vivek Raghunathan - Mountain View CA, US Vivek Raghuraman - Santa Clara CA, US Karlheinz Muth - Richardson TX, US David Arlo Nelson - Fort Collins CO, US
International Classification:
G02B 6/43 G02B 6/42
Abstract:
An optical engine. In some embodiments, the optical engine includes an electronic interfacing component including: an upper surface having a plurality of conductors for forming a corresponding plurality of connections to a host board, a lower surface having a plurality of conductors for forming a corresponding plurality of connections to one or more optoelectronic elements, and a plurality of vias extending from the lower surface to the upper surface.
- Mountain View CA, US Aranyak Mehta - Palo Alto CA, US Benyu Zhang - Fremont CA, US Vivek Raghunathan - Fremont CA, US
International Classification:
G06Q 30/02 G06F 16/9535
Abstract:
Information regarding display of selected content items in assigned slots is provided. The information is based on a selected template that includes areas for groups of slots for related content items, such as content items that are targeted to a common targeting object. Candidate content items, identified based on targeting or other distribution information, are assigned to selected slots to determine at least part of the information regarding display of the selected content items.
- London, GB Vivek Raghuraman - Santa Clara CA, US David Erich Tetzlaff - Minnetonka MN, US Karlheinz Muth - Richardson TX, US Vivek Raghunathan - Mountain View CA, US
A system including an optical engine. In some embodiments, the system includes an integrated circuit in a first-level package, and the system includes the optical engine, in the first-level package, and the optical engine includes an electro-optical chip.
Success4
Head of Engineering
Broadcom Jun 2019 - Jun 2019
Senior Principal Engineer
Arpu Research Labs Dec 2018 - May 2019
Engineering
Level Labs Dec 2016 - Nov 2018
Engineering
Intel Corporation Nov 2013 - Dec 2016
Backend Engineering Manager and Technician Lead
Education:
Massachusetts Institute of Technology 2007 - 2013
Doctorates, Doctor of Philosophy, Materials Science, Engineering
Mit Sloan School of Management 2009 - 2011
Florida International University 2006 - 2008
Master of Science, Masters, Electrical Engineering
Indian Institute of Technology, Madras 2003 - 2007
Bachelors, Engineering
Anna University 2002 - 2006
Bachelor of Engineering, Bachelors, Communication, Electronics
Skills:
Materials Science Nanotechnology Semiconductors Thin Films Silicon Matlab Characterization Silicon Photonics Physics Microfabrication Semiconductor Fabrication Afm Optical Devices Photolithography Scanning Electron Microscopy Process Engineering Product Development Product Management Technical Program Management Go To Market Strategy Simulations Cross Functional Team Leadership Dfm Spectroscopy Electronics Supply Planning Optical Filters Manufacturing Engineering Manufacturing Design of Experiments Optics Statistical Process Control Statistical Data Analysis Design Failure Mode and Effect Analysis Supplier Management Npi Management Semiconductor Packaging Photonic Packaging Wafer Level Packaging Technology Development Optical Assembly Process Soc Packaging Flip Chip Bga Packaging Photonics Module Assembly Photonics Passive Design Material Vendor Management Lumerical Fimmwave Fimmprop Jmp Embedded Systems Software Development Linux C Testing Python Device Drivers Firmware Linux Kernel Perl Shell Scripting Java C++ Mysql Integration Hardware Tcp/Ip Embedded Linux Debugging Software Engineering Software Design Operating Systems Bash Open Source Android Distributed Systems Consumer Electronics Debian Php Unix Embedded Software Rtos Qlikview Development Qlikview Heroku Internet Protocol Suite Git Google Cloud Platform Gcp Technical Leadership Node.js
Interests:
Developer Tools E Books Mobile Health Care Specialty Foods Consumer Electronics K 12 Education Health Children Cooking Clean Technology Teenagers Education Finance Science and Technology Music Textbooks Food and Beverages Human Rights Risk Management Poverty Alleviation University Students Consumer Internet Enterprise Software Organic Food Health Care Information Technology Social Services Economic Empowerment Politics Application Platforms Media Big Data Analytics Developer Apis
Languages:
Tamil Hindi English
Certifications:
Google Cloud Platform Fundamentals: Core Infrastructure
Florida International University - Electrical Engineering, Anna University - Electronics and Communication
About:
Vivek Raghunathan, was born several centuries ago to a very nervous set of parents - in a bat cave of a hospital, deep down in India. Papa Raghunathan was quite convinced that the hospital had given h...
Tagline:
27, Software Engineer, Geek, Bay area, Motorcycles, Foodie, Kayaker, Google fanboy
Vivek Raghunathan
Lived:
Sunnyvale CA Urbana IL Cambridge MA Cambridge UK Pune India Mumbai India
Work:
Google - Engineer
Education:
UIUC, IIT Bombay
Vivek Raghunathan
Vivek Raghunathan
Youtube
Fireside Chat with fmr Google VP of Product, ...
ABOUT THE SPEAKER: Vivek Raghunathan started his career at Google work...
Duration:
29m 30s
Alumni Talk on "Nurturing Entrepreneurship fo...
Mailam Engineering College The Department of Electronics and Communica...
Duration:
1h 24m 55s
CoE-CPPICS Webinar Talk by Dr. Vivek Raghunat...
Duration:
1h 40m 21s
TEDxMumbai - V Raghunathan - 04/03/10
Professor V Raghunathan uses game theory to explain why Indians behave...
Duration:
18m 35s
Effective Options Trading Strategy for Retail...
In this video, we have with us our rocking host Mr. Vivek Bajaj, co-fo...
Duration:
1h 12m 5s
Options Trading Adjustments Simplified!
This is the second video with Mr. Raghunath Reddy and we have with us ...