99/2613, Microsoft Research
Phone: (425) 421-7114
Email: myfirstname DOT mylastname AT microsoft DOT com
I am a researcher working in the Sensing and Energy Research Group at MSR, Redmond since fall 2013. I received my Ph.D. in Electrical Engineering from Princeton University in 2013. Within the electrical engineering department, I had a sub-specialty of computer engineering.
My research interests lie at the crossroads of signal processing, machine learning, and low-power sensing systems. I am particularly interested in making computing devices more efficient both in terms of energy and performance. Some of my past and present research includes:
- Energy-efficient platforms for continuous mobile computing
- Hardware systems for compressive sensing and machine learning
- Robust algorithms for VLSI signal-processing systems
- Acceleration of networking and multimedia applications
My Ph.D. thesis was on the design of energy-efficient sensing systems with direct computations on compressively-sensed data. 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. and Ph.D. degrees in Electrical Engineering from Princeton University in 2010 and 2013, respectively.
In general, I am interested in designing and building hardware devices. The following is a list of some of my current projects (more details coming soon):
- Active Gateway Based Multimedia Front-ends for Mobile Signal Processing SoC Applications
- Reconfigurable Computing Platforms for Real-time Audio/Video Processing
- Energy-efficient Architectures for Information-theoretic Learning in Transform Spaces
- Data-driven Platforms for Personal and Commercial Vehicular Navigation
- M. Shoaib, K-H. Lee, N. K. Jha, and N. Verma, "0.6-107 µW energy-scalable processor for directly analyzing compressively-sensed EEG", IEEE Transactions on Circuits and Systems (TCAS) - 1, to appear
- M. Shoaib, N. K. Jha, and N. Verma, “Algorithm-driven hardware-specialized architecture for low-energy biomedical sensor platforms,” IEEE Transactions on VLSI Systems (TVLSI), Online Oct. 2013
- M. Shoaib, N. K. Jha, and N. Verma, “A compressed-domain processor for seizure detection to simultaneously reduce computation and communication energy,” IEEE Custom Integrated Circuits Conference (CICC), Sep. 2012.
- M. Shoaib, G. Marsh, H. Garudadri, and S. Majumdar, “A closed-loop system for artifact mitigation in ambulatory electrocardiogram monitoring,” IEEE Design Automation and Test in Europe (DATE) Conference, Mar. 2012.
- M. Shoaib, N. K. Jha, and N Verma, “Subthreshold computational circuits for high-order data-driven analysis of physiological signals,” Sub-threshold Microelectronics Conference, Sept. 2011.
I am a professional member of the IEEE and the ACM. While I am interested in working across multiple disciplines, my interests are particularly aligned with the following research communities:
- IEEE Signal Processing Society
- IEEE Computer Society
- IEEE Circuits and Systems Society
- ACM SIGBED
- ACM SIGMOBILE
The following is my past/current participation:
- Reviewer: IEEE TBCAS, IEEE DAC 2013, IEEE TBME
- Organizing Committee: IPSN 2014