Research Interests
- Complex Electronic Systems
- Future and Emergent Electronic Devices, Circuits, Models and Architectures
- Cellular Automata Theory and Applications
- beyond CMOS Computing Devices and Circuits
- Memristors
- Unconventional computing
- High Performance computing
- Bioinspired Computation/ Biocomputation and Bioengineering
- Crowd Dynamics
- Robotics
- FPGAS
- Modelling and Simulation
On-going Projects
Study, Design, Development and Implementation of a Holistic System for Upgrading the Quality of Life and Activity of the Elderly (ASPiDA)
2021 - 2023 | Hellenic Operational Program Competitiveness, Entrepreneurship and Innovation
ASPiDA is a system that will be able to integrate, articulate and collect innovative technologies from the field of electronics, the Internet of Things, information technology, robotic communications, optimal control, etc. These include the development of a system of daily observation and taking of vital measurements of the elderly in real time, a system for assessing the kinesiological behaviour of the elderly at regular intervals, the development of necessary infrastructure to support assisted living, a very fast, friendly and simple User Interface to the elderly, and efficient and robust mobile communications for the full coverage and successful operation of all controlled subsystems.
Wave-Based Memristive Devices and Circuits for Classical and non von Neumann Information Processing (W-MEMPRO)
2020 - 2023 | Hellenic Foundation for Research and Innovation
W-MEMPRO project aims to successfully deal with the aforementioned issues introducing the development of an analogue hybrid computational circuit-level system, using innovative nanoelectronic devices, namely memristors (memory resistors), inspired by the biochemical processes occurring in nature and based on the corresponding wave propagation. The main purpose of W-MEMPRO is based on the propagation of electrochemical waves in nature and the resulting executing controlled processes capable of successfully performing computations, to design, model and fabricate memristor devices utilized for the design and development of wave based electronic computational units. The proposed nanoelectronic circuits will be able to perform both classical (Boolean) and non-conventional (multi-digit, in memory and neuromorphic) calculations, targeting beyond the existing von Neumann information processing
1D1M Crossbar Architecture for Neuromorphic Computing
2020 - 2022 | Hellenic Sectoral Program for Human Resources Development, Education and Lifelong Learning
TBA
Completed Projects
Memristive nanomaterials and electronic devices for quantum and neuromorphic computing (MEM-Q)
2018 - 2020 | Hellenic General Secretariat for Research and Technology in the context of Greek-Russian bilateral joint research projects
The MEM-Q project brings together leading research groups from Greece and Russia, with significant contribution to the contemporary state-of-the-art of memristive materials and technologies, working on a universal approach towards the fabrication of memristors and explore the possibility of using them as building blocks for quantum and neuromorphic computing, breaking the limitations and red-brick wall of the conventional computing logic (Boolean logic) and architecture (von Neumann architecture). MEM-Q contributes to the development of new industrial technologies of manufacturing memristive devices for applications in new-generation information storage and models of quantum and neural circuits for neuroprocessors, FPGA and quantum computers. Stochastic nature and nonlinear dynamics of memristors provide for the creation of brain-like neural network architectures with synaptic plasticity and neurohybrid devices. This could be the basis for the hybridization of electronic devices and biological tissue/cultures for the development of robotics and artificial intelligence and the development of new methods of diagnostics/treatment of the nervous system and brain.
Synthesis and Performance Optimization of a Switching Nano-Crossbar Computer (NANOxCOMP)
2015 - 2019 | European Union Horizon 2020
The main goal of this project is developing a complete synthesis and optimization methodology for switching nano-crossbar arrays that leads to the design and construction of an emerging nanocomputer. New computing models for diode, FET, and four-terminal switch based nanoarrays are developed. The proposed methodology implements both arithmetic and memory elements, necessitated by achieving a computer, by considering performance parameters such as area, delay, power dissipation, and reliability. With combination of arithmetic and memory elements a synchronous state machine (SSM), representation of a computer, is realized. The proposed methodology targets variety of emerging technologies including nanowire/nanotube crossbar arrays, magnetic switch-based structures, and crossbar memories. The results of this project will be a foundation of nano-crossbar based circuit design techniques and greatly contribute to the construction of emerging computers beyond CMOS.
Green Center: Energy-Efficient MPSoCs for Datacenters
2012 - 2015 | Hellenic General Secretariat for Research and Technology
The aim of this project is to design energy efficient Multi-core embedded processors that can be used as a low-power alternative to host cloud computing applications. Specifically the project aims to design efficient hardware accelerators that will augment Multi-processors Systems-on-a-Chip (MPSoC). The enhanced MPSoC (based on programmable FPGA with ARM cores) will be deployed in data centers that require hosting of lightweight applications and low power consumption (e.g. MicroServers and NanoServers). We will investigate how to accelerate several tasks for data centers (e.g. MapReduce framework) by augmenting these processors with the right hardware acceleration units and efficient software optimizations in order to reduce the power consumption and increase the energy efficiency.