Welcome to our website for Prof. Andreou Lab at Johns Hopkins University. The Lab is co-directed by Prof. Andreas G. Andreou and Dr. Philippe Pouliquen. The research in our lab comprises of projects with intertwined science, engineering and technology objectives.
From a science perspective our research aims at developing an understanding and a theory of computation that incorporates constraints imposed by the structures that underly processing, communication and memory. Furthermore we seek to understand how one can do parallel processing effectively and efficiently under the fundamental limitations of delay and energy. While nderstanding the physical and abstract computational structures of brains is our ultimate endeavor, we are natually deeply involved with the challenges of computing in the era beyond Moore's law. Research in sensory communication is aimed at gaining further understanding of the basic underlying processes in vision and audition as well as the sensory motor integration loops.
From an engineering perspective, biological systems serve as working models of microsystems for sensory information processing and memory as they have been optimized over millions of years of evolution and provide key insights on algorithms, signal representation and architectures. By innnovative use of CMOS state of the technologies, including 3D, mixed signal circuit design techniques and by careful interpreting the organizing principles in neural systems, we are making progress engineering microsystems in the two broad areas of information acquisition/transduction, and knowledge representation/memory and learning.
"50 years from now, a century would have passed from the invention of the first microchip and Moore’s law will be no more. However we will be living in an era where the ‘chip’ – short for the microchip – in its different forms from imagers to ion sequencers to labs-on-chip and cognitive processor units (CogPUs) will provide the underpinnings and the foundation for affordable, state-of-the-art, global personalised medicine and healthcare delivery."
Please read more in " Johns Hopkins on a Chip: microsystems and cognitive machines for sustainable, affordable, personalised medicine and healthcare
We are gratefull and thank our sponsors that provide funding for our research: DARPA, NSF, NIH, ONR, AFRL, JHU-APL. If you think what we do is worthwhile and want to support it, please do here
or by contacting Rising to the Challenge