Filipp A. Akopyan  Filipp A. Akopyan photo       

contact information

Research Staff Member / Cognitive Computing / Low Power Circuits
T. J. Watson Research Center, NY USA / Almaden Research Center, CA USA


Professional Associations

Professional Associations:  IEEE   |  IEEE Circuits and System Society  |  IEEE Signal Processing Society


Filipp’s main interests are in high-speed VLSI circuits (including 3-D integrated circuits and neuromorphic systems) that operate under extreme conditions and withstand process variations. He is also developing novel algorithms and low-power asynchronous systems for signal processing and neural networks.

Dr. Filipp Akopyan was born in Moscow, Russia, where he grew up and completed middle school. Filipp attended high school at Spring Valley, NY. He joined Rensselaer Polytechnic Institute (in Troy, NY) in September of 2001 and graduated with a Bachelor's Degree in Electrical Engineering in May of 2004. Filipp was ranked number 1 in the School of Engineering. His concentrations at RPI included electronic circuit design and signal processing.

Filipp began a joint M.S. / Ph.D. program at Cornell University in September of 2004. At Cornell, he exceled at the Asynchronous VLSI (AVLSI) research group led by Professor Rajit Manohar. Filipp has authored several highly cited publications (over 700 total citations) in the areas of asynchronous design, signal processing, neuromorphic computing and low-power chip design. Filipp is a recipient of numerous awards and honors in the fields of electrical and computer engineering.

After receiving his Ph.D. in Electrical and Computer Engineering (with a minor in Applied Mathematics) from Cornell University in 2011, Dr. Akopyan joined the IBM Brain-Inspired Computing Group led by Dharmendra Modha. During his IBM tenure, Filipp was one of the lead engineers, who created the world's most advance neuromorphic chip, TrueNorth, as part of the DARPA SyNAPSE program. He is also a key contributor on the DARPA Cortical Processor program. One of Filipp’s main contributions was leading the complex task of designing, simulating and verifying mixed Synchronous-Asynchronous circuits to implement the TrueNorth chip correctly and efficiently. This novel methodology has a potential of revolutionizing future state-of-the-art designs by making them extremely flexible and energy efficient. At IBM Filipp has also been designing low-power cognitive systems and advancing neural algorithm development for various multi-sensory applications. 

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