Biography
Scientific Contributions
Dr. Rodrigo Picos (born in Palma, Spain, in 1973) is a Full Professor (Catedrático de Universidad) in the Department of Industrial Engineering and Construction at the Universitat de les Illes Balears (UIB), where he has developed his academic and research career focusing on electrical engineering, the compact modeling of emerging devices, and analog circuits. Over his trajectory, he has co-authored more than 150 papers in indexed journals and international conference proceedings, contributing to the shared knowledge in his field.His primary research interest centers on the characterization and modeling of memristive systems and devices. Memristors are key components for the development of future non-volatile memory and neuromorphic computing architectures. His work focuses on developing compact models that help predict memristor behavior under different electrical conditions, aiming to facilitate their integration into practical circuit designs.
Additionally, he participates in research lines involving advanced hardware architectures, such as high-performance reconfigurable computing and intelligent cyber-physical systems for Internet of Things (IoT) applications. In these areas, the goal is to develop efficient and reliable hardware solutions. He also collaborates on the design of electronic systems for measuring ionizing radiation, which have applications in aerospace and medical monitoring, as well as in analog circuit testing and device characterization to improve electronic reliability.
Contributions to Society
The work of Dr. Rodrigo Picos seeks to contribute to current technological and industrial needs. By studying energy-efficient hardware and Internet of Things (IoT) applications, his research supports the development of smarter and more sustainable systems. Furthermore, his collaboration on systems for measuring ionizing radiation connects engineering with practical fields such as environmental safety and medical diagnostics.A significant part of his contribution to society is carried out through higher education at the Universitat de les Illes Balears. As a Professor, he has spent years teaching and training new generations of engineers and technical professionals in fields like Electronic Instrumentation and Device Modeling, helping them prepare for the local and national technology workforce.
Additionally, as a Senior Member of the IEEE Electron Devices Society (EDS) and a member of the Institut d’Investigació Sanitària de les Illes Balears (IdISBa), he participates in international scientific communities and cross-disciplinary efforts, helping bridge engineering research with health and industrial applications.
Other Contributions
Beyond the formal publications listed in ORCID, Dr. Picos contributes actively to the professional community and academia through leadership, mentorship, and international collaboration. He maintains a strong international profile, highlighted by his involvement in organizing international conferences, such as MOCAST, and his current role in the Organizing Committee for ISCAS 2030.At the national level, he serves on the Board of Directors (Junta Directiva) of both the Spanish Chapter of the IEEE Electron Devices Society (EDS) and AESEMI (Asociación Española de la Industria de Semiconductores), supporting the growth and strategic representation of the microelectronics and semiconductor sectors.
His commitment to education and talent development is reflected in his extensive mentoring record, having supervised more than 100 students through their undergraduate (TFG) and Master’s (TFM) theses, as well as successfully advising 3 Ph.D. dissertations. Additionally, he participates in internal university governance and administrative tasks within the Department of Industrial Engineering and Construction at the UIB. He also regularly contributes to scientific dissemination as an anonymous reviewer for technical journals, coordinates outreach activities in STEM fields for secondary school students, and manages the research group’s laboratory infrastructure.
Professor
Publications:
Small Signal Model for Flexible Memristors
This paper presents a theoretical and experimental framework for deriving the small-signal model of memristive devices from first principles. We establish the connection between the Jacobian of the memristor’s governing equations (describing resistance r(x) and state dynamics f(x, vM)) and its frequency-domain impedance characteristics. The model predicts a distinctive pole-zero structure in the small-signal response,…
Efficient Domain Adaptation of a Lightweight BERT Retriever: Comparing Full Fine-Tuning and LoRA for Biomedical Search
Adapting pre-trained language models to specialized domains is often constrained not only by the quality of the resulting model, but also by the cost of adaptation itself. This is especially important in retrieval systems, where domain shifts can quickly reduce effectiveness and where updates may need to be carried out under limited compute budgets. In…
Universal Logic Gates Obtained by Switching Between Chaotic Attractors in Chua’s Circuit
The digital-analog logic gates built around continuous-time chaotic core are constructed using noise, high frequency periodic forcing, constant bias signal and inputs-dependent control system. The square waves encoding logic inputs drive the chaotic system and its nonlinear response is converted to logic output making use of switching between chaotic attractors in clearly distinct regions of…
A Compact Model for Slow-Sweep ReRAM
This paper presents a compact quasi-static model for bipolar Pt/HfO2/TiN ReRAM under slow triangular sweeps below 40 mV/s. The model is formulated in the flux-charge domain, where reset and set transitions are described with a small set of piecewise branches suitable for circuit-level simulation. A key point is the physically consistent ramp-to-flux relation ϕ(V) =…
Rat-SLAM with neuromorphic computing
Artificial intelligence has endowed robots with cognitive abilities that significantly improve their performance in various applications. According to Neuroscience, information in the biological brain is processed at the neuronal level by electrical impulses that are transmitted to neighbouring neurons via electrochemical processes. This discovery radically changed the way neurons are modelled in artificial neural networks,…
Quantitative measures of stochastic resonance effect based on switch-phase distribution
Stochastic resonance (SR) effect observed in biological, physical, and engineering systems is commonly described quantitatively by power spectral measures that require complex mathematical operations and long, continuous observation. Here, we propose two measures based on the switch-phase distribution to qualitatively describe the SR effect, namely, the power norm and the probability that the switch phase…
Linking Fundamental Circuit Theory and Experiments with Memristors: Extracting Information from Bode Plots
Behavioral SPICE model for memristive crosspoint arrays operating in the nonlinear transport regime
In this letter, a fully behavioral SPICE model for M × N memristive crosspoint arrays (CPAs) is presented. The proposed approach incorporates the current–voltage characteristics of the memdiode model for resistive switching devices, which can account for both the linear (low-voltage) and nonlinear (high-voltage) transport regimes of memristors. At low voltages, the model coincides with the conventional…
Development of a Lightweight Secure Communication System for UAVs Enhanced by an Unconventional Chaotic Communication Architecture
Ensuring the confidentiality, integrity and authenticity of transmitted data for single- and multi-agent systems is becoming crucial to protect these systems against potential threats. This is precisely the focus of this work that introduces a novel approach for securing communications between unmanned aerial vehicles (UAVs). In particular, to safeguard the data against attacks in UAV…
Memristive Model of a Sb2Se3 Solar Cell
Memristors, first theorized in 1971 and experimentally confirmed in 2009, have attracted substantial research interest due to their unique characteristics. They are particularly significant in applications like neuromorphic computing and memory storage. However, memristive behavior is not always an isolated phenomenon; it can also emerge as a parasitic effect in various electronic devices. Despite this,…
Quantitative Description of the Stochastic Resonance in Chua Circuit Using the DFT of Switch-Phase Difference Distribution
Stochastic resonance (SR) can be defined as a phenomenon where the response of dynamical nonlinear systems to a weak input signal may be augmented due to the existance of noise tuned to the optimal level. Among others, the SR effect is quantified using measures as the signal-to-noise ratio, the output autocorrelation function, the residence time…
A Circuital Model of Sb₂Se₃ Solar Cells as Memdiode Devices for Neuromorphic Applications
Memristors are one of the four fundamental electrical components, relating electrical quantities such as current, voltage, charge (integral of current), and flux (integral of voltage). First proposed in 1971 and experimentally demonstrated in 2009, memristors have garnered significant research interest due to their unique properties. Among their many applications, neuromorphic computing and memory storage stand…
Influence of low-frequency on the equivalent circuit parameters of a Sb2Se3 device
A multi-layer thin-film device was fabricated on a glass substrate. The antimony selenide (Sb2Se3) layer was synthesized onto a molybdenum-coated (Mo/MoSe2) soda-lime glass (SLG) substrate using a co-evaporation process. The co-evaporation process was conducted in a high-pressure furnace at 2 atmospheres of argon gas for 20 minutes. The antimony (Sb) and selenium (Se) evaporation temperatures…
A Visual Odometry Artificial Intelligence‐Based Method for Trajectory Learning and Tracking Applied to Mobile Robots
Autonomous systems have demonstrated high performance in several applications. One of the most important is localisation systems, which are necessary for the safe navigation of autonomous cars or mobile robots. However, despite significant advances in this field, there are still areas open for research and improvement. Two of the most important challenges include the precise…
Evaluation of X-Ray Irradiation Effects on Solid Polymer Electrolyte Memristor Devices
In this study, we present the impact of irradiation on the memristive properties of solid polymer electrolyte memristor devices with a Ti/PMA/PEO/PMA/(Ti or Au) structure. The devices were measured before irradiation and after 1 krad and 2 krad total doses. The effects of irradiation appear to be an improvement in both conductance and hysteresis after…