Functional Magnetic Resonance Neuroimaging of Drug Dependence: Naloxone-Precipitated Morphine Withdrawal. - Andrew S. Lowe; Steven C. R. Williams; Mark R. Symms; Ian P. Stolerman; Mohammed Shoaib (NeuroImage, 2002)

Imaging localised dynamic changes in the nucleus accumbens following nicotine withdrawal in rats. - Mohammed Shoaib; Andrew S. Lowe; Steven C. R. Williams (NeuroImage, 2004)

Modeling Arbitrator Delay-Area Dependencies in Customizable Instruction Set Processors. - Siew Kei Lam; Mohammed Shoaib; Thambipillai Srikanthan (DELTA, 2006)

Low-cost space-varying FIR filter architecture for computational imaging systems. - Guotong Feng; Mohammed Shoaib; Edward L. Schwartz; M. Dirk Robinson (Digital Photography, 2010)

A low-energy computation platform for data-driven biomedical monitoring algorithms. - Mohammed Shoaib; Niraj K. Jha; Naveen Verma (DAC, 2011)

A compressed-domain processor for seizure detection to simultaneously reduce computation and communication energy. - Mohammed Shoaib; Niraj K. Jha; Naveen Verma (CICC, 2012)

Enabling advanced inference on sensor nodes through direct use of compressively-sensed signals. - Mohammed Shoaib; Niraj K. Jha; Naveen Verma (DATE, 2012)

A closed-loop system for artifact mitigation in ambulatory electrocardiogram monitoring. - Mohammed Shoaib; Gene Marsh; Harinath Garudadri; Somdeb Majumdar (DATE, 2012)

Algorithm-Driven Architectural Design Space Exploration of Domain-Specific Medical-Sensor Processors. - Mohammed Shoaib; Niraj K. Jha; Naveen Verma (IEEE Trans. Very Large Scale Integr. Syst., 2013)

Energy scaling in multi-tiered sensing systems through compressive sensing. - Mohammed Shoaib; Jie Liu 001; Matthai Philipose (CICC, 2014)

A 0.6-107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG. - Mohammed Shoaib; Kyong-Ho Lee; Niraj K. Jha; Naveen Verma (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Exploiting On-Device Image Classification for Energy Efficiency in Ambient-Aware Systems. - Mohammed Shoaib; Swagath Venkataramani; Xian-Sheng Hua 001; Jie Liu 001; Jin Li 001 (Mobile Cloud Visual Media Computing, 2015)

Rate-adaptive compressed-sensing and sparsity variance of biomedical signals. - Vahid Behravan; Neil E. Glover; Rutger Farry; Patrick Yin Chiang; Mohammed Shoaib (BSN, 2015)

A compressed-sensing sensor-on-chip incorporating statistics collection to improve reconstruction performance. - Vahid Behravan; Shuo Li; Neil E. Glover; Chia-Hung Chen; Mohammed Shoaib; Gabor C. Temes; Patrick Yin Chiang (CICC, 2015)

Scalable-effort classifiers for energy-efficient machine learning. - Swagath Venkataramani; Anand Raghunathan; Jie Liu 001; Mohammed Shoaib (DAC, 2015)

SAPPHIRE: an always-on context-aware computer vision system for portable devices. - Swagath Venkataramani; Victor Bahl; Xian-Sheng Hua 001; Jie Liu 001; Jin Li 001; Matthai Philipose; Bodhi Priyantha; Mohammed Shoaib (DATE, 2015)

An Ultra-Low Power, "Always-On" Camera Front-End for Posture Detection in Body Worn Cameras Using Restricted Boltzman Machines. - Soham Jayesh Desai; Mohammed Shoaib; Arijit Raychowdhury (IEEE Trans. Multi Scale Comput. Syst., 2015)

Signal Processing With Direct Computations on Compressively Sensed Data. - Mohammed Shoaib; Niraj K. Jha; Naveen Verma (IEEE Trans. Very Large Scale Integr. Syst., 2015)

Creating Soft Heterogeneity in Clusters Through Firmware Re-configuration. - Xin Zhan; Mohammed Shoaib; Sherief Reda (CCGrid, 2016)

X-Mem: A cross-platform and extensible memory characterization tool for the cloud. - Mark Gottscho; Sriram Govindan; Bikash Sharma; Mohammed Shoaib; Puneet Gupta 001 (ISPASS, 2016)

Measuring the Impact of Memory Errors on Application Performance. - Mark Gottscho; Mohammed Shoaib; Sriram Govindan; Bikash Sharma; Di Wang 003; Puneet Gupta 001 (IEEE Comput. Archit. Lett., 2017)

Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research. - Matilda Beinat; Julian Beinat; Mohammed Shoaib; Jorge Gomez Magenti (CoRR, 2024)