"Everybody is a genius. But, if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid" - Albert Einstein
|I am a fifth-year Ph.D. student in the Department of
Electrical Engineering at Princeton University. I am co-advised by
K. Jha and Naveen
Verma. Within the electrical engineering department, I have a
sub-speciality of computer engineering. My
research interests lie at the crossroads of signal processing, machine
and low-power sensor networks. I have focused on designing systems that directly
process sparsity-based representations of data in medical sensor
networks. This has led to a new paradigm of information
processing using compressed data representations.
In the past, I have received the B.Tech. and M.Tech.
dual degree in electrical engineering with a specialization in
microelectronics and VLSI design from the Indian Institute of
Technology (IIT), Madras, in 2008. I have also received the M.A
in electrical engineering from Princeton University in 2010. During my
educational career, I have authored or co-authored over 15 technical
papers and 5 pending/granted patents. I have received Ph.D. fellowships
Princeton University and Qualcomm Corporate Research in 2008 and 2010,
respectively. I have also received academic awards such as the Roberto-Padovani scholarship from Qualcomm in 2011 and the Gordon Wu Prize for
excellence from Princeton
University in 2012. To support my terminal Ph.D. studies, I have been
awarded the 2012 Harold W. Dodds Honorific Fellowship from Princeton University. I have a strong interest in pedagogy and am a
graduate fellow of the McGraw Center for Teaching and Learning.
I have also had some industrial experience through internships with
groups at IBM Zurich Research, Ricoh California Research, and
Qualcomm Corporate Research in CA. I am a student member of the IEEE
have been a reviewer for IEEEE TBIOCAS, IEEE JETCAS, and the
Design Automation Conference (DAC). I have non-academic interests in
nutrition, fitness, cooking, and intellectual property law.
Department of Electrical Engineering
Princeton, NJ 08544
mshoaib [at] princeton [dot] edu