Graduate Student - PhD (Computer Science) at Stony Brook University
Location:
Stony Brook, New York
Industry:
Computer Software
Work:
Stony Brook University - Stony Brook, NY since Jun 2009
Graduate Student - PhD (Computer Science)
Life Technologies - Beverly, MA Jun 2012 - Sep 2012
Summer Intern - Bioinformatics (R&D)
Division of Behavioral Medicine - University at Buffalo (SUNY) Jan 2009 - Aug 2009
Student Assistant - Behavioral Informatics
Los Alamos National Laboratory Jun 2008 - Dec 2008
Graduate Research Assistant
Bristlecone Jul 2006 - May 2007
DMS BASIS Administrator
Education:
State University of New York at Stony Brook 2009 - 2015
State University of New York at Buffalo 2007 - 2009
Master of Science (M.S.), computer science
University of Mumbai 2002 - 2006
BE, Computer Science
Skills:
C++ Algorithms C Matlab Python Java Machine Learning Linux Eclipse Programming Data Mining Simulations
Us Patents
Systems And Methods For Determining A Quality Or Type Of A Physical Activity In A Spatial Area
- EINDHOVEN, NL ABHISHEK MURTHY - ARLINGTON MA, US
International Classification:
A63B 24/00 A63B 71/06 G16H 40/67
Abstract:
The present disclosure is directed to systems and methods of determining a quality or type of a physical activity such as a fitness center. Generally, in one aspect, a controller for determining a quality or type of a physical activity performed by one or more persons in a spatial area is provided. The controller is configured to: (i) determine an activity pattern based on infrared energy detected in a spatial area by one or more thermopile sensors; (ii) determine a difference between said activity pattern and a nominal pattern; (iii) determine a quality or type of a physical activity performed by said one or more persons based on said difference; and (iv) provide an output signal based on said quality or type of said physical activity in said spatial area. The quality of said physical activity may be a safety determination. The type of said physical activity may be a physical activity determination.
Compressive Sensing Systems And Methods Using Edge Nodes Of Distributed Computing Networks
- EINDHOVEN, NL ABHISHEK MURTHY - ARLINGTON MA, US
International Classification:
H03M 7/30 G06F 7/58 H04L 29/08 H04Q 9/00
Abstract:
A system and method for compressive sensing using edge nodes of a distributed computing network. The method includes collecting a raw data signal continuously by a sensor of the edge node. A signal energy indicator is dynamically updated that quantifies an energy distortion in the raw data signal. One or more compression characteristics are determined as a function of the signal energy indicator as the signal energy indicator is updated. The raw data signal is subsampled in accordance with current values of the one or more compression characteristics to create a compressed data signal. An output is transmitted that includes the compressed data signal to a centralized node.
Systems And Methods For Compressing Sensor Data Using Clustering And Shape Matching In Edge Nodes Of Distributed Computing Networks
- EINDHOVEN, NL ABHISHEK MURTHY - ARLINGTON MA, US MATHAN GOPALSAMY - MEDFORD MA, US
International Classification:
H04L 29/08 H03M 7/30
Abstract:
A system and method for compressing sensor data at an edge node of a distributed computing network. The method includes training the edge node to with a plurality of known signal templates. Each known signal template corresponding to a corresponding one of a plurality of events observable by the sensor. A raw data signal is collected by a sensor of the edge node. The raw data signal is classified to one of the known signal templates based on a degree of similarity between the raw data signal and the known signal template. A compression scheme is selected based on the classification of the raw data signal. The raw data signal is compressed in accordance with the compression scheme.
Systems, Methods, And Apparatuses For Distributing Computational Resources Over A Network Of Luminaires
- EINDHOVEN, NL ABHISHEK MURTHY - ARLINGTON MA, US
International Classification:
H05B 47/155 H05B 47/19 H05B 47/125 H04L 12/28
Abstract:
The described embodiments relate to systems, methods, and apparatus for employing a network () of smart luminaires () to perform tasks typically reserved for remote servers. The network of smart luminaires can include lighting elements for illuminating an area, as well as a computer system for processing and transmitting data. Various computational tasks can be parsed and delegated to certain smart luminaires in the network () in order to optimize the use of each smart luminaire in the network. Computational tasks can originate at the smart luminaires or be delegated to the smart luminaires by another device. Additionally, data that is processed by the smart luminaires can be transmitted to other devices, thereby allowing other devices to leverage the computing power of a nearby network of smart luminaires.
Systems, Methods And Apparatus For Compensating Analog Signal Data From A Luminaire Using Ambient Temperature Estimates
- EINDHOVEN, NL ABHISHEK MURTHY - ARLINGTON MA, US
International Classification:
H05B 47/11 H05B 47/19 H05B 45/10
Abstract:
The described embodiments relate to system, methods, and apparatuses for compensating sensor data from a luminaire based on an ambient temperature estimate that is generated from operating characteristics of the luminaire. The sensor data can be provided from a sensor, such as a passive infrared sensor, that is connected to the luminaire, and by compensating the sensor data, more accurate metrics can be generated from the sensor data. For instance, the compensated sensor data can be used to generate occupancy metrics that can be used as a basis for controlling a network of luminaires or other devices that can be influenced by occupants of an area. The compensated sensor data can also be used to calibrate the sensor.
System And Method For Object Recognition Using Neural Networks
- ENDHOVEN, NL SIRISHA RANGAVAJHALA - WAKEFIELD MA, US ABHISHEK MURTHY - STONEHAM MA, US TALMAI BRANDÃO DE OLIVEIRA - NORTH ANDOVER MA, US XIAOKE SHEN - CAMBRIDGE MA, US
International Classification:
G06N 3/08 G06N 3/04 G06K 9/62 G06K 9/00
Abstract:
A system and method for providing object recognition using artificial neural networks. The method includes capturing a plurality of reference images with a camera associated with an edge node on a communication network. The reference images are received by a centralized server on the communication network. The reference images are analyzed with a parent neural network of the centralized server to determine a subset of objects identified by the parent neural network in the reference images. One or more filters that are responsive to the subset of objects are selected from the parent neural network. A pruned neural network is created from only the one or more filters. The pruned neural network is deployed to the edge node. Real-time images are captured with the camera of the edge node and objects in the real-time images are identified with the pruned neural network.
- EINDHOVEN, NL HANUMA TEJA MADDALI - HYATTSVILLE MD, US JASLEEN KAUR - MELROSE MA, US OLAITAN PHILIP OLALEYE - WAKEFIELD MA, US ABHISHEK MURTHY - ARLINGTON MA, US ALEXANDRU DARIE - LINCOLN MA, US TALMAI BRANDAO DE OLIVEIRA - NORTH ANDOVER MA, US SIRISHA RANGAVAJHALA - WAKEFIELD MA, US HASSAN MOHANNA - QUINCY MA, US
International Classification:
H04W 4/02 G08G 1/01 H05B 37/02
Abstract:
The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights () according to whether people () who are observing the lights are visitors from a different location (). Visitors can be identified by using network connection data () that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.
A Lighting System And Lighting System Control Method
- EINDHOVEN, NL TALMAI BRANDÃO DE OLIVEIRA - NORTH ANDOVER MA, US SIRISHA RANGAVAJHALA - WAKEFIELD MA, US ROHIT KUMAR - HACKENSACK NJ, US JASLEEN KAUR - MELROSE MA, US ABHISHEK MURTHY - ARLINGTON MA, US HASSAN MOHANNA - QUINCY MA, US ALEXANDRU DARIE - LINCOLN MA, US
Assignee:
SIGNIFY HOLDING B.V. - EINDHOVEN
International Classification:
H05B 37/02 H04L 29/08
Abstract:
A lighting-system () for illuminating an environment, the lighting system comprising a plurality of lighting modules () and a lighting-system control device (). The lighting modules comprise: —a light source () for emitting light, —a programmable controller () configured to control an operation of the light source, and —a network interface () configured to allow the lighting module to communicate via a network. The lighting-system control device () comprises: —a processor circuit () configured to determine lighting control data to change the light spectrum of the light source based on the mobility data of the at least one user, and to transmit the lighting control data to at least one lighting module of the plurality of lighting modules to program said lighting module according to the lighting control data.
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