Vasilis Ntinas

Memristive Computing Researcher · Electrical & Computer Engineer · Educator

prof_pic.jpg

About me

I am an Assistant Professor (Tenure-Track) at Aalborg University, affiliated with the Edge Computing and Networking Group, the CMI Section, and the Department of Electronic Systems.

My research focuses on memristive computing architectures for edge intelligence, physics-based and variability-aware device modeling, and stochastic phenomena in resistive switching systems, including noise, stochastic resonance, and random-telegraph noise. A central thread in this work is the study of Cellular Nonlinear Networks (CNNs) and their memristive implementations, alongside neuromorphic circuits based on threshold switches and bio-inspired spiking dynamics, and cellular automata for unconventional and probabilistic computation.

Prior to joining AAU, I was a Research Associate at TU Dresden in the Chair of Fundamentals of Electrical Engineering led by Prof. Ronald Tetzlaff. There, I worked on memristive Cellular Nonlinear Networks within the DFG project Mem2CNN, part of the priority programme Memristive Devices Toward Smart Technical Systems (SPP 2262).

I hold a joint Ph.D. from Universitat Politecnica de Catalunya and Democritus University of Thrace, under the supervision of Prof. Antonio Rubio and Prof. Georgios Ch. Sirakoulis. My doctoral work examined stochasticity in memristor systems across scales, from device physics to computing architecture. I also hold an M.Sc. in Microelectronics and Computer Systems and a Diploma in Electrical and Computer Engineering from Democritus University of Thrace, where I received the Best Diploma Thesis Award.

Academic Journey

Assistant Professor (Tenure-Track)

Aalborg University 2025 – Present

Copenhagen, Denmark

Research Associate

Technische Universität Dresden 2021 – 2025

Dresden, Germany

Ph.D. in Electronic Engineering / Electrical & Computer Engineering

Universitat Politècnica de Catalunya & Democritus University of Thrace 2017 – 2022

Barcelona, Spain & Xanthi, Greece

M.Sc. in Microelectronics and Computer Systems

Democritus University of Thrace 2015 – 2017

Xanthi, Greece

Diploma in Electrical and Computer Engineering

Democritus University of Thrace 2010 – 2015

Xanthi, Greece

Research Interests

Memristive Computing Architectures Edge Intelligence Physics-Based Device Modeling Variability-Aware Modeling Stochastic Phenomena in Resistive Switching Cellular Nonlinear Networks (CNNs) Memristive CNN Implementations Neuromorphic Circuits Threshold Switch Neurons Cellular Automata Unconventional Computation

Research highlights

Memristor Modeling

Device Physics & Compact Models

Physics-based and variability-aware models of resistive switching devices, capturing noise, drift, and device-to-device variability for circuit-level simulation.

Stochastic Resonance

Noise-Enhanced Computation

Harnessing noise and random-telegraph phenomena in memristive systems, where stochastic resonance improves signal detection and information processing.

Unconventional Computing

CNNs · Cellular Automata

Memristive Cellular Nonlinear Networks, neuromorphic threshold-switch circuits, and cellular automata for bio-inspired and probabilistic computation.