Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms
- Angeliki Pantazi
- Bipin Rajendran
- et al.
- Frontiers in Neuroscience
Angeliki Pantazi received Diploma and Ph.D. degrees in Electrical Engineering and Computer Technology from the University of Patras, Greece, in 1996 and 2005, respectively. She joined IBM Research – Zurich, Switzerland in 2002 as a Ph.D. student and became a Research Staff Member in 2006.
Her research interests include multiple control-related aspects of data storage systems, where she particularly contributed in the research and development of advanced servo control technologies for magnetic tape drive systems. Her research is also focusing on neuromorphic technologies combined with emerging memory concepts such as phase-change memory. She has published more than 90 refereed articles and holds over 40 granted and pending patents.
Dr. Pantazi was named IBM Master Inventor in 2014 and became a senior member of the IEEE in 2015. She was a co-recipient of the 2009 IEEE Control Systems Technology Award for contributions to nanopositioning for MEMS-based storage and other applications, the 2009 IEEE Transactions on Control Systems Technology Outstanding Paper Award, the 2011 IBM Pat Goldberg Memorial Best Paper Award and the 2014 International Federation of Automatic Control (IFAC) Industrial Achievement Award for the application of advanced control technologies in the nano-domain to magnetic tape data storage. She is the recipient of the 2017 IEEE Control Systems Society Transition to Practice Award, for the development of advanced control technologies for magnetic tape data storage and nanopositioning applications.