Host: Lin Zhong
Biography of Mohammed Shoaib:
Mohammed Shoaib is a fifth-year Ph.D. student in the Department of Electrical Engineering at Princeton University. He is co-advised by Profs. Niraj K. Jha and Naveen Verma. His research interests lie at the crossroads of signal processing, machine learning, and low-power sensor networks. In particular, he has 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, Mr. Shoaib has 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.. He has also received the M.A degree in electrical engineering from Princeton University in 2010. During his educational career, he has authored or co-authored over 15 technical papers and 5 pending/granted patents. he has received Ph.D. fellowships from Princeton University and Qualcomm Corporate Research in 2008 and 2010, respectively. He has 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 his terminal Ph.D. studies, he has been awarded the 2012 Harold W. Dodds Honorific Fellowship from Princeton University. He has a strong interest in pedagogy and is a graduate fellow of the McGraw Center for Teaching and Learning.. Mr. Shoaib also had some industrial experience through internships with research groups at IBM Zurich Research, Ricoh California Research, and Qualcomm Corporate Research in CA. He is a student member of the IEEE and has been a reviewer for IEEEE TBIOCAS, IEEE JETCAS, and the Design Automation Conference (DAC).