Lastname: Charbiwala

Firstname: Zainul

Middleinitial: M

Webname: zainul

Email: zainul@ucla.edu

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Urlphoto: http://www.ee.ucla.edu/~zainul/img/photo.jpg

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Organization: IBM Research - India

Urlorganization: http://www.ibm.com/in/research/

Biography: <b>Update</b>: I have moved to <a href=http://researcher.ibm.com/view.php?person=in-zainulcharbiwala>IBM Research India</a>. <br> Zainul Charbiwala is a PhD candidate in the Electrical Engineering Department at the University of California, Los Angeles. He works with Mani Srivastava at the Networked and Embedded Systems Lab on energy efficient sampling and inferencing in wireless health and smart building technologies. He has most recently been working with compressed sensing.

Researchinterests: Energy efficient signal processing in mobile healthcare and smart infrastructure, wireless sensor networks, compressed sensing, privacy and energy efficiency.

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Professionalservice: <br>Reviewer for: <br>- IEEE Transactions on Mobile Computing <br>- IEEE Transactions on Information Theory <br>- IEEE Transactions on Wireless Communication <br>- IEEE Transactions on Sensor Networks <br>- Sensys <br>- IPSN/SPOTS <br>- Wireless Health

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Awards: <br>2011: Won Qualcomm Innovation Fellowship Contest for the year 2011-2012 <br>2010: Received Dissertation Year Fellowship for the year 2010-2011 <br>2009: Received Qualcomm Research Fellowship for the year 2009-2010 <br>2008: Won Best Paper Award at SenSys’08 <br>2008: EE UCLA Fellowship for continued academic achievements <br>2008: Won the DAC/ISSCC 2008 Student Design Competition Award <br>2007: Topped PhD Preliminary exam. Awarded extension of Fellowship for the same <br>2006: Received Henry Samueli Fellowship at EE UCLA for the year 2006 – 2007

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Ms year: 2002

Ms title: Master of Technology

Ms school: Indian Institute of Technology, Bombay

Ms field: Electrical Engineering (Communication Engineering)

Ms thesis: A SIP based VoIP Phone

Ms in lab: true

Phd year: 2012

Phd title: PhD

Phd school: UCLA

Phd field: Electrical Enginering

Phd thesis: Energy Efficient Acquisition and Inferencing for Low Power Physiological Sensing

Phd in lab: true

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Person category: #<PersonCategory:0x007f418fc41828>

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