Topics

<> Microelectromechanical (2) <> microwave devices (2) <> microwaves (2) <> MIMO beamforming systems (2) <> minimization (2) <> MIPs (2)

One-step Electrosynthesized Molecularly Imprinted Polymer on Laser Scribed Graphene Bisphenol A Sensor

1 min read ·
Tutku Beduk, et al., "One-step Electrosynthesized Molecularly Imprinted Polymer on Laser Scribed Graphene Bisphenol A Sensor." Sensors and Actuators B: Chemical 314, 2020, 128026. Bisphenol A (BPA) is a toxic chemical used by industries for production of containers for storage of food and beverages leading to possible health risks. In this work, we present a simple, mask-free, low-cost imprinted sensor based on laser scribed graphene (LSG) technology combined to molecularly imprinted polymers (MIPs) for BPA determination. CO2 laser was used in production of LSG electrodes with high

Abdellatif Ait Lahcen

Postdoctoral Research Fellow, Sensors
Dr. Abdellatif Ait Lahcen is currently a Postdoctoral Research Fellow at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). Education and Early Career Before joining the King Abdullah University of Science and Technology (KAUST) in Kingdom of Saudi Arabia on March 2019 as a Postdoctoral Research Fellow, I was performing my research at the department of Analytical Chemistry, University of Cadiz (Spain) as well as in the laboratory of Process Engineering and Environment at Hassan II University of Casablanca in Morocco. I
<> MIT (2) <> Mixed-Mode ASIC Design (2)

Christos Sapsanis

Education Profile : - Ph.D. Candidate, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. - M.Sc., Electrical Engineering (Electrophysics), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2015. - B.Sc., Electrical and Computer Engineering, University of Patras, Greece, 2013. Introduction: Christos Sapsanis obtained his M.Sc. Degree in the Electrical Engineering (EE) Program from King Abdullah University of Science and Technology, under the supervision of Prof. Khaled Nabil Salama. Before joining KAUST, he earned his B.Sc. in Electrical

Abdullah Alshehri

My research focuses on designing efficient interfaces between the analog and digital domains through the development of low-power, high-performance CMOS interface circuits. The interface circuit encompasses key components such as amplifiers, filters, comparators, analog-to-digital converters (ADCs), each of which must be carefully optimized to meet the specific requirements of the target application. By addressing the challenges in analog-digital interfacing, this work aims to contribute to the advancement of integrated circuits and systems that can seamlessly connect real-world analog signals to their digital counterparts, with potential applications in sensor interfaces, data acquisition systems, and mixed-signal electronics. The research involves circuit design, simulation, integration, and experimental evaluation to create novel interface circuit topologies and techniques that improve power efficiency, speed, and overall performance.
<> mobile (2)

Mobile Microrobotics

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KAUST

The implementation of robotic solutions to accomplish automated tasks in industrial sectors has tremendously increased the human performance capacity and enhanced the cost, quality and delivery time for different tasks and products. Having already proven their utility at the macroscale, robots also show their usefulness when we approach the infinitely small dimensions, for applications such as inspection, cell manipulation, assembly, biopsy and drug delivery. The way to the microworld is not that simple; reducing the size of robots from macro scale to micro scale cannot be accomplished by merely miniaturizing the different parts of an existing robot. The variation in the scale of physical effects with the size scale and the difficulties of fabrication and assembly at the micro scale make the macro-solutions for actuation and sensing unsuitable for microdevices. Other actuation mechanisms with deformable structures and integrated sensing solutions are more efficient at microscale and compatible with microfabrication limitations. This talk focuses on different aspects related to mobile microrobots, including limitations and challenges, actuation mechanisms, power delivery, and current works in our team for the development of mobile microrobots.

Signaling success for 5th gen communications

1 min read ·
An efficient wireless signal optimization scheme achieves peak performance for next-generation mobile communications.
<> Mobile robotics (2) <> mobile systems (2) <> mobile technology (2) <> Mobily Networks (2) <> MOCVD (2)

Blue LED material extended to Green, Yellow, and now Red

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KAUST

In this seminar, the science of MOCVD, the material science of InGaN, and the new-born InGaN-based red LED performance will be discussed. The three primary colors in light are RGB. Green and blue LEDs have been realized by using InGaN active region. The current red LEDs are based on AlGaAs or InGaP as the active region. If we can realize red LEDs by InGaN, it is possible to integrate RGB LEDs in a wafer. Such RGB integration is a breakthrough to develop the next displays, so-called, micro-LED displays that are the next after the OLED displays, and functional LED lightings.

Haiding Sun

Postdoctoral Research Fellow, Advanced Semiconductor Laboratory
Haiding Sun was a Postdoctoral Research Fellow working with Professor Xiaohang Li at the Advanced Semiconductor Laboratory at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dr. Sun received his Ph.D. in Electrical Engineering from Boston University, Massachusetts, in the United States in 2015. His Ph.D. dissertation title was “Development of Aluminum Gallium Nitride-Based Emitters In The Form of Graded-Index Separate Confinement Heterostructure (GRINSCH)." Research Interests Dr. Sun ’s research works cover various aspects of semiconductor device designs
<> molecular beam epitaxy (2) <> molecular spectroscopy (2)

High Precision Comb-Assisted Molecular Spectroscopy in the Mid-Infrared

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B2 L5 R5220

The design of laser-based optical sensors relies heavily on precise spectroscopic knowledge of atomic and molecular absorption transitions. Accurate spectroscopic information is invaluable in several fields such as biology, chemistry, astronomy, and environmental science. Within the electromagnetic spectrum, the mid-infrared (MIR) region can enable sensors with higher sensitivity due to the stronger absorption cross-sections. Moreover, MIR spectral transitions correspond to the fundamental vibrational motions of the molecules and are thus considered fingerprints of the molecular structure. Vibrational bands contain many rotational transitions, resulting in fine-splitting of spectral bands, particularly in gaseous samples. In order to resolve the fine rotational structure of vibrational bands, high-resolution MIR spectrometers are needed.

Bidoor AlSaif

Bidoor AlSaif is a physics graduate from College of Science (Imam Abdulrahman bin Faisal University) in Dammam. Thereafter, she completed her MS degree in Physics from the King Saud University. She joined KAUST Electrical Engineering Program in 2013 in to peruse her PhD degree. Motivated by astonishing world of laser physics and its wide applications, she joined Prof. Aamir Farooq to develop sensors in the mid-IR with quantum-cascade lasers (QCLs) and to perform precise spectroscopic measurements. She achieved highly accurate spectroscopic measurements of one of the most important greenhouse
<> monitoring (2) <> monolithic (2) <> Monte Carlo Methodology (2) <> Movement detection and tracking using RF and acoustic waves. (2) <> Multifunctional Electronic Devices (2) <> Multihop relay networks (2) <> Multimodal learning (2) <> multimodal sensing (2) <> Multiphase flows (2) <> multiphase meters (2)

Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

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B3 L5 R5220

Modern industries are adapting smart ways of monitoring their processes to ensure smooth operations. Sensors capable of early detection of a problem are becoming the norm in industrial processes. This is key to the development of the “Internet of Things” (IoT), in which billions of interconnected devices will work together to make smart decisions. Sensors that can detect and communicate the process information are essential ingredients of any IoT-enabled network. Since billions of such sensor nodes will be required in the future, the low cost will be an important feature for these devices. Consistent with the above-mentioned trends, the oil industry is also adapting smart monitoring and actuation mechanisms for its day-to-day operations. This thesis is focused on developing low-cost sensors, which can increase oil production efficiency through real-time monitoring of oil wells and also help in the safe transport of oil products from the wells to the refineries.

Muhammad Akram Karimi

Muhammad Akram Karimi obtained his Ph.D. degree in Electrical Engineering under the supervision of Professor Atif Shamim at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group at King Abdullah University of Science and Technology (KAUST). Research Interest Muhammad's research interests included the Design of Cost-Effective and robust Fluidic Sensors to characterize fluids (esp. Crude Oil) and Energy Harvesting. Selected Publications ​Journal : M. A. Karimi, M Arsalan and A. Shamim, "Low cost and pipe conformable microwave-based water cut sensor", IEEE Sensors
<> Multivariate extremes (2) <> multivariate functional data (2) <> multivariate spatial processes (2) <> multivariate statistics (2) <> nano devices (2) <> nanofabrication technology (2) <> Nanopore Sequencing (2) <> Nanostructure (2)

Nanomaterials and Nanostructure Based Energy Efficient Edge and Fluidic Computing for Internet of Things Applications

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B9 L2 H1

In this talk, I will address these questions with a focus on smart and multifunctional nanomaterial-based memory devices than can sense different physical qualities of the environment (Memsors) in addition to pressure-driven microfluidic logic gates which can process and analyze non-electronic media in an attempt to explore, enable and empower a wider range of IoT applications.

Nanomaterials and Nanostructure Based Energy Efficient In-Memory Sensing

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KAUST

In this talk, I will present the potential of nano-islands grown by the atomic layer deposition (ALD) in addition to novel material combinations in scaled memory devices. Moreover, in order to relax the scalability requirement, I will introduce an integrated potential single device solution by infusing memory device which can monitor and remember our actions and the surrounding environment. Such a device performs the roles of both a MEMory and a senSOR at once and is referred to as a MEMSOR. The MEMSOR is directly programmed by external physical stimuli rather than an applied electric potential as in conventional devices. As a result, the MEMSOR leads to faster data analysis, lower footprint area, energy consumption, and ideally, the cost of the system. Finally, the MEMSOR device will be based on a MOSFET architecture with a mature manufacturing process, and thus it can be integrated with conventional Flash devices on the same silicon wafer with minimal additional process steps.
<> Navier-Stokes (2) <> Near field communications (2) <> network coding (2) <> Network Design (2) <> networks and wireless communications (2) <> neural network accelerator (2) <> neuro-symbolic methods (2) <> Neuroimaging (2) <> Neuromorphic Circuits (2) <> Neuromorphic Spintronics (2) <> Neuronal ensembles (2)

Simulation of Neuronal Signal Processing - 2020-03-05

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B9 L2 R2322

In the lecture we present a three dimensional mdoel for the simulation of signal processing in neurons. To handle problems of this complexity, new mathematical methods and software tools are required. In recent years, new approaches such as parallel adaptive multigrid methods and corresponding software tools have been developed allowing to treat problems of huge complexity. Part of this approach is a method to reconstruct the geometric structure of neurons from data measured by 2-photon microscopy. Being able to reconstruct neural geometries and network connectivities from measured data is the basis of understanding coding of motoric perceptions and long term plasticity which is one of the main topics of neuroscience. Other issues are compartment models and upscaling.

Simulation of Neuronal Signal Processing - 2020-04-20

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KAUST

In the lecture, we present a three-dimensional model for the simulation of signal processing in neurons. Part of this approach is a method to reconstruct the geometric structure of neurons from data measured by 2-photon microscopy. Being able to reconstruct neural geometries and network connectivities from measured data is the basis of understanding coding of motoric perceptions and long term plasticity which is one of the main topics of neuroscience. Other issues are compartment models and upscaling.
<> Next Generation Wireless Communication Systems (2)
KAUST-ECE-Graduate-Seminar-Atif-Shamim-Enabling-Next-Generation-Wireless-Communication-through-mm-Wave-Reconfigurable-Intelligent-Surface-(RIS)

Enabling Next Generation Wireless Communication through mm-Wave Reconfigurable Intelligent Surface (RIS)

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B9, L2, R2325

The mm-wave 5G and beyond communication systems significantly improve the data rate, user capacity, and latency, however, the electromagnetic (EM) wave propagation suffers from high atmospheric attenuation as compared to the sub-6 GHz bands. Therefore, the quality of wireless communication gets severely affected in an environment where multiple obstacles, such as buildings and trees, are present, and thus, communication coverage is typically limited to line of sight (LOS).

Qurrat-Ul-Ain Nadeem

Qurrat-Ul-Ain Nadeem selected while at KAUST as one of the 2018 Marconi Society Paul Baran Young Scholars and she currently is a Postdoctoral Fellow at the School of Engineering, the University of British Columbia, Okanagan Campus, working with Professor Anas Chaaban in the Communication Theory Lab. Education and Early Career Qurrat obtained her Master of Science and Ph.D. degrees in Electrical Engineering from KAUST in June 2015 and December 2018 respectively. Before joining KAUST, she completed her Bachelor of Science degree in Electrical Engineering from Lahore University of Management
<> Next-generation Wireless Networks (2) <> nonlinear stability (2) <> nonlinearity (2)

Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model

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B9 H2 R2325

Abstract The analysis of solar irradiance has important applications in predicting solar energy production from solar power plants. Although the sun provides every day more energy than we need, the variability caused by environmental conditions affects electricity production. Most of the existing statistical models to forecast solar irradiance are linear and highly depend on normality assumptions. However, solar irradiance shows strong non-linearity and is only measured during the day time. Thus, we propose a new multi-day threshold autoregressive (TAR) model to quantify the variability of the

Manifold Markov Chain Monte Carlo Methods for Bayesian Inference In Diffusion Models

Prof. Alexandros Beskos, the Dept of Statistical Science, University College London (UCL)

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KAUST

Bayesian inference for nonlinear diffusions, observed at discrete times,is a challenging task that has prompted the development of a number of algorithms, mainly within the computational statistics community. We propose a new direction, and accompanying methodology - borrowing ideas from statistical physics and computational chemistry - for inferring the posterior distribution of latent diffusion paths and model parameters, given observations of the process
<> Novel (2)

A Novel HVDC Architecture for Offshore Wind Farm Applications

Otavio Dezem Bertozzi Junior, MS Student, Physical Science and Engineering

-

KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this thesis, we introduce a novel power converter solution for the parallel connection of high-power offshore wind turbines, suitable for HVDC collection and transmission. For the parallel operation of energy sources in an HVDC grid, DC link voltage control is required. The proposed system is based on a full-power rated uncontrolled diode bridge rectifier in series with a partially-rated fully-controlled thyristor bridge rectifier. The thyristor bridge acts as a voltage regulator to ensure the flow of the desired current through each branch, where a reactor is placed in series for filtering of the DC current. AC filters are installed on the machine side to mitigate harmonic content. The mathematical modeling of the system is derived and the control design procedure is discussed. Guidelines for equipment and device specifications are presented. The concept is validated through simulation, and an experimental framework for testing of the system is suggested.

A novel structure preserving scheme for Schrondiger-Poisson systems.

Dr. Th. Katsaounis

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B2 L5 R5220

In this talk I will present a new structure preserving, second order in time relaxation-type scheme for approximating solutions of the Schrodinger-Poisson system. We use the Crank-Nicolson scheme as a time-stepping mechanism, whilst the nonlinearity is handled by means of a relaxation approach. For the spatial discretisation we use the standard conforming finite element scheme. The resulting scheme is explicit with respect to the nonlinearity, i.e. it requires the solution of a linear system for each time-step, and satisfies discrete versions of the system’s mass conservation and energy balance laws for constant discretization parameters.
<> NSF KAUST Conference (2) <> numeric simulations (2) <> numerical (2) <> Numerical Solution of Partial Differential Equations (2) <> ocean circulation (2) <> oceanography (2) <> OFDM with index modulation (2)

Shuping Dang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuping Dang is a Postdoctoral Fellow working with Prof. Mohamed-Slim Alouini and Prof. Basem Shihada, Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology. Education and Early Career Shuping Dang received B.Eng (Hons) in Electrical and Electronic Engineering from the University of Manchester (with first class honors) and B.Eng in Electrical Engineering and Automation from Beijing Jiaotong University in 2014 via a joint `2+2' dual-degree program. He also received D.Phil in Engineering Science from University of Oxford in 2018

Jiusi Zhou

Jiusi Zhou is a Ph.D. student under the supervision of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Jiusi Zhou obtained his Bachelor of Engineering from Communication and Information Engineering Department, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, P. R. China in 2018. Before formally joining KAUST, he worked as a internship student at CTL in KAUST during Aug 2017 to Jan 2018. Research Interest Jiusi is familiar with Ultraviolet Communication
<> OFET (2)

Dr Sandeep's review on OFET is out

1 min read ·
We are excited to share our review on Organic Field Effect Transistors sensing platforms. This is Dr Sandeep's first paper with the group and more to come soon. Organic field effect transistors (OFETs) have been the focus of sensing application research over the last two decades. The challenges and possible future directions of OFET arrays in embedded sensing platforms are presented. More details at: Sandeep G.Surya, Harshil N.Raval, Rafiq Ahmad, PrashantSonar, Khaled N.Salama, V.Ramgopal Rao, Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review

Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF

1 min read ·
Saravanan Yuvaraja, et al., "Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF." ACS Applied Materials & Interfaces 12 (16), 2020, 18748. Organic field-effect transistors (OFETs) are emerging as competitive candidates for gas sensing applications due to the ease of their fabrication process combined with the ability to readily fine-tune the properties of organic semiconductors. Nevertheless, some key challenges remain to be addressed, such as material degradation, low sensitivity, and poor selectivity toward
<> Offshore (2)

Power Electronics Applications in Offshore Wind Farms

-

KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this seminar we will go through some of the fundamentals of these enabling technologies and their applications. We will also present a simple, reliable, efficient and cost-effective concept applied to parallel connection of offshore wind turbines.

A Novel HVDC Architecture for Offshore Wind Farm Applications

Otavio Dezem Bertozzi Junior, MS Student, Physical Science and Engineering

-

KAUST

Advances in power electronics have enabled many renewable energy applications. Wind energy harnessing is very promising and offshore farm installations have grown considerably in the past years. In this thesis, we introduce a novel power converter solution for the parallel connection of high-power offshore wind turbines, suitable for HVDC collection and transmission. For the parallel operation of energy sources in an HVDC grid, DC link voltage control is required. The proposed system is based on a full-power rated uncontrolled diode bridge rectifier in series with a partially-rated fully-controlled thyristor bridge rectifier. The thyristor bridge acts as a voltage regulator to ensure the flow of the desired current through each branch, where a reactor is placed in series for filtering of the DC current. AC filters are installed on the machine side to mitigate harmonic content. The mathematical modeling of the system is derived and the control design procedure is discussed. Guidelines for equipment and device specifications are presented. The concept is validated through simulation, and an experimental framework for testing of the system is suggested.
<> oil industry (2)

Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

-

B3 L5 R5220

Modern industries are adapting smart ways of monitoring their processes to ensure smooth operations. Sensors capable of early detection of a problem are becoming the norm in industrial processes. This is key to the development of the “Internet of Things” (IoT), in which billions of interconnected devices will work together to make smart decisions. Sensors that can detect and communicate the process information are essential ingredients of any IoT-enabled network. Since billions of such sensor nodes will be required in the future, the low cost will be an important feature for these devices. Consistent with the above-mentioned trends, the oil industry is also adapting smart monitoring and actuation mechanisms for its day-to-day operations. This thesis is focused on developing low-cost sensors, which can increase oil production efficiency through real-time monitoring of oil wells and also help in the safe transport of oil products from the wells to the refineries.

Fahd Mohamed

Research Interests Solid works, 3D VIA Composer, KeyShot, ANSYS Simulation, Autocad, 3dmax Studio, Matlab, Mathcad, EES (Engineering Equation Solver), FORTRAN Professional Profile 2021 - present: Research Specialist, Kaust, Thuwal - Saudi Arabia 2012 - 2019: Research Assistant, Qatar University, Doha - Qatar Education Profile BSc in Mechanical Engineering, Alexandria University, Egypt granted 2011 Dissemination Viscous flow simulations through multi-lobe progressive cavity pumps. F.M. El-Abd, E.M. Wahba, I.G. Adam Pet. Sci. 17, 768-780 (2020) https://doi.org/10.1007/s12182-020-00458-6
<> OLEDs (2) <> Omics (2) <> Online learning (2) <> Operations Research (2) <> optical computing (2) <> optical fiber communications (2) <> optical networks (2) <> optimal control theory (2)

Epidemiological modeling and optimal control

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KAUST

Compartmental epidemiological models are one of the simplest models for the spread of a disease. They are based on statistical models of interactions in large populations and can be effective in the appropriate circumstances. Their application historically and in the present pandemic has sometimes been successful and sometimes spectacularly wrong. In this talk I will review some of these models and their application. I will also discuss the behavior of the corresponding dynamical systems, and discuss how the theory of optimal control can be applied to them. I will describe some of the challenges in using such a theory to make decisions about public policy.

David Evangelista

David Evangelista is a Ph.D. Candidate at King Abdullah University of Science and Technology (KAUST), working in the areas of partial differential equations, mean-field games (MFG), and market microstructure. He is expect to receive a Ph.D. from KAUST in June 2019, under the direction of Professor Diogo A. Gomes. David's research interests are in optimal control theory, nonlinear partial differential equations, MFG, and market microstructure. MFG is a framework to study interactions of a large number of indistinguishable players that play differential games. MFG has become an active research
<> optimal experimental design (2) <> Optimization about power allocation (2) <> Optimization for Machine Learning (2)

Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity

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B5 L5 R5209

Federated learning (FL) is an emerging machine learning paradigm involving multiple clients, e.g., mobile phone devices, with an incentive to collaborate in solving a machine learning problem coordinated by a central server. FL was proposed in 2016 by Konecny et al. and McMahan et al. as a viable privacy-preserving alternative to traditional centralized machine learning since, by construction, the training data points are decentralized and never transferred by the clients to a central server. Therefore, to a certain degree, FL mitigates the privacy risks associated with centralized data collection. Unfortunately, optimization for FL faces several specific issues that centralized optimization usually does not need to handle. In this thesis, we identify several of these challenges and propose new methods and algorithms to address them, with the ultimate goal of enabling practical FL solutions supported with mathematically rigorous guarantees.

Konstantin Burlachenko

Ph.D. Student, Computer Science
Konstantin's research focuses on large-scale mathematical optimization systems for machine learning and artificial intelligence, especially those requiring high-performance computing approaches.
<> optoelectronic device fabrication (2) <> Orbital Angular Momentum (2)

Dmitrii Briantcev

Dmitrii is an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dmitrii obtained his bachelor degree in Radiophysics from Saint Petersburg State University (SPbSU) in 2018. He participated in KAUSTs “Photonics summer camp” program before becoming a KAUST student in 2018. Research Interest Dmitrii is focusing in the area of optical communication, free space communication, and numerical modeling. He is currently working on the development of OAM

Abderrahmen Trichili

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education and Early Career Abderrahmen Trichili received his diplôme National d'Ingénieur in wireless networks and communications, and PhD degree in Information and Communication Technology from the Engineering School of Communication of Tunis (Tunisia) in 2013 and 2017, respectively. During his doctoral study, he received a mobility fellowship from the University of Padova (Italy), where he spent one year at the Information Engineering Department (DEI). In February 2018, he joined KAUST University as a Postdoctoral Fellow at CEMSE. Research Interest Trichili's current areas of interest
<> organ transplantation (2) <> organic semiconductor (2)

Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF

1 min read ·
Saravanan Yuvaraja, et al., "Realization of an Ultrasensitive and Highly Selective OFET NO2 Sensor: The Synergistic Combination of PDVT-10 Polymer and Porphyrin–MOF." ACS Applied Materials & Interfaces 12 (16), 2020, 18748. Organic field-effect transistors (OFETs) are emerging as competitive candidates for gas sensing applications due to the ease of their fabrication process combined with the ability to readily fine-tune the properties of organic semiconductors. Nevertheless, some key challenges remain to be addressed, such as material degradation, low sensitivity, and poor selectivity toward

Jokubas Surgailis

Research Interest Jokūbas is currently investigating mixed conduction in organic semiconductors. Using combined electrochemical characterization methods, he aims to advance the understanding of ion-to-electron coupling. Along with his background in Electrical Engineering, Jokūbas plans to use this research to push the frontier of interfacing the two halves of Bioelectronics. KAUST Affiliations ​Biological and Environmental 
Science & Engineering Division (BESE) Education Profile 2018 - 2024: PhD student, Organic Bioelectronics Lab, KAUST, Thuwal, Saudi Arabia 2017: Visiting student, Organic
<> parallel simulations (2) <> Partnerships (2) <> pathogens (2) <> pathway design (2) <> Performance limits at low power regime (2) <> Performance optimization (2) <> Perovskites (2) <> pervasive computing (2) <> phase retrieval (2) <> phased-arrays (2) <> PhenomeNET (2) <> Phononic Crystals (2) <> photocatalytic energy conversion (2)

Microstructural Analysis and Engineering of III-Nitride-Based Heterostructures for Optoelectronic Devices

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B1 L3 R3119

This dissertation presents a variety of methodological approaches to characterize, from a microstructural point of view, different properties of novel III-nitride-based heterostructures and devices. The results of the various characterizations contributed to developing novel LEDs and photocatalysts. The analyses and results presented in this dissertation strongly relied on the analytical capabilities offered by transmission electron microscopy, which proved to be a convenient and versatile tool for the characterization of many aspects related to the fabrication of III-nitride-based optoelectronic devices.

Martín Velázquez Rizo

Martín Velázquez Rizo obtained his Master's degree in Electrical Engineering under the supervision of Prof. Hossein Fariborzi at King Abdullah University of Science and Technology (KAUST). Martin has a B. Sc. degree in Physics from the Universidad Nacional Autónoma de México. During his undergraduate studies, he did research in Mexico as well as abroad. At the age of 23, he graduated from College (with honorable mention). One year later he came to KAUST to enroll in the M.S./Ph.D. program in Electrical Engineering. He is deeply interested in the physics behind the electronic devices that
<> photoconductive antennas (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> photodetector devices (2)

Yuvaraj Sivalingam

Yuvaraj Sivalingam is a Research Scientist at the Sensors Lab, Computer, Electrical, and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia. Education and Early Career He received his M.Sc. in Physics in 2007 from Madurai Kamaraj University, India and in 2009 he received his M.Tech. in Sensor System Technology from VIT University (India), with a project entitled “Studies on the development of compositions for hydrogen sensing applications and their relevant instrumentation’. In 2008-2009 during his M.Tech.

Amal M. AlAmri

Amal Al-Amri is a Ph.D. candidate in Electrical Engineering at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Jr-Hau-He. Amal received her B.Sc. in Physics from King Abdulaziz University in Saudi Arabia and proceeded to obtain her M.Sc. with a concentration in Nanomaterial's Science in Physics from King Abdulaziz University. As an active member of the Saudi Association for Physical Sciences and a member of the Talented Center King Abdulaziz University, she was able to win the Innovative Award at King Abdulaziz University in 2008 and got the second
<> photonic (2) <> physics (2) <> plant physiology (2) <> Plant Wearables (2)

Abdullah Bukhamsin

Ph.D. Student (former), Bioengineering
Selected Publications: Bukhamsin, Abdullah, et al. " In vivo dynamics of indole-and phenol-derived plant hormones: Long-term, continuous, and minimally invasive phytohormone sensor." (2025) Science Advances. Bukhamsin, Abdullah, et al. " Accelerating adoption of species-agnostic plant sensors for precision farming." (2025) Nature Reviews Electrical Engineering. Bukhamsin, Abdullah, et al. " Early and high-throughput plant diagnostics: strategies for disease detection." (2024) Trends in Plant Science. Bukhamsin, Abdullah, et al. " Minimally-invasive, real-time, non-destructive, species

Abdullah Bukhamsin

Selected Publications: Bukhamsin, Abdullah, et al. " In vivo dynamics of indole-and phenol-derived plant hormones: Long-term, continuous, and minimally invasive phytohormone sensor." (2025) Science Advances. Bukhamsin, Abdullah, et al. " Accelerating adoption of species-agnostic plant sensors for precision farming." (2025) Nature Reviews Electrical Engineering. Bukhamsin, Abdullah, et al. " Early and high-throughput plant diagnostics: strategies for disease detection." (2024) Trends in Plant Science. Bukhamsin, Abdullah, et al. " Minimally-invasive, real-time, non-destructive, species
<> Point of Care devices (2) <> point processes (2) <> Poster Competition (2) <> power devices (2) <> power grid (2) <> precision agriculture (2)

Abdullah Bukhamsin

Ph.D. Student (former), Bioengineering
Selected Publications: Bukhamsin, Abdullah, et al. " In vivo dynamics of indole-and phenol-derived plant hormones: Long-term, continuous, and minimally invasive phytohormone sensor." (2025) Science Advances. Bukhamsin, Abdullah, et al. " Accelerating adoption of species-agnostic plant sensors for precision farming." (2025) Nature Reviews Electrical Engineering. Bukhamsin, Abdullah, et al. " Early and high-throughput plant diagnostics: strategies for disease detection." (2024) Trends in Plant Science. Bukhamsin, Abdullah, et al. " Minimally-invasive, real-time, non-destructive, species

Abdullah Bukhamsin

Selected Publications: Bukhamsin, Abdullah, et al. " In vivo dynamics of indole-and phenol-derived plant hormones: Long-term, continuous, and minimally invasive phytohormone sensor." (2025) Science Advances. Bukhamsin, Abdullah, et al. " Accelerating adoption of species-agnostic plant sensors for precision farming." (2025) Nature Reviews Electrical Engineering. Bukhamsin, Abdullah, et al. " Early and high-throughput plant diagnostics: strategies for disease detection." (2024) Trends in Plant Science. Bukhamsin, Abdullah, et al. " Minimally-invasive, real-time, non-destructive, species