Events

Jul 28 - Aug 3, 2019

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  Part 3: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 31, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
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  Study of ultraviolet AlGaN nanowires light-emitting diodes

  Davide Priante, Ph.D., Electrical and Computer Engineering

  Jul 30, 16:00 - 17:00

  B3 L5 R5209

  photonics optoelectronics nanofabrication

  Ultraviolet (UV) group III-Nitride-based light emitters have been used in various applications such as water purification, medicine, lighting and chemical detection. Despite attractive properties such as bandgap tunability in the whole UV range (UV-C to UV-A), high chemical stability and relative low cost, the low quantum efficiency hamper the full utilization. This thesis aims to show alternative solutions to such problems by employing nanowires (NWs) structures, and target the eventual application of reliable and high power NWs-based light-emitting devices, enabling large-scale production using the established silicon foundry processes. Here, we present the improvement of injection current and optical power of AlGaN NWs LEDs by involving a metal bilayer thin film with a dual purpose: eliminate the potential barrier for carrier transport, and inhibit the formation of silicide.
• 

  Part 2: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 30, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
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  Photonics Summer Camp 2019 - The Final Presentations

  Photonics Summer Camp Participants

  Jul 30, 08:30 - 11:00

  B2 B3 A0215

  photonics interships

  International Students in CEMSE who attended Photonics Summer Camp 2019, will present their research findings and experience of KAUST, in 10 minute presentations. Breakfast will be served. All KAUST affiliates are welcome to attend. The Photonics Summer Camp is an international internship program, currently in it’s 4th year. The program is just 4 weeks long and is designed to welcome overseas and local students to KAUST, in order to facilitate research innovation and collaboration amongst the next generation of photonics researchers. The program is sponsored by the CEMSE Division, with support from Graduate Affairs, and the International Programs Office.
• 

  Part 1: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 29, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
• 

  Traffic Monitoring and MAC-Layer Design for Future IoT Systems

  Enas M. Odat, Ph.D. Student, Electrical and Computer Engineering

  Jul 28, 14:00 - 16:00

  B1 L4 R4214

  machine learning game theory cyber-physical systems

  The advances in the technology and the emergence of low complexity intelligent devices result in the evolution of the Internet-of-Things (IoT). One of the most important resources is the wireless channel, which is a shared resource; thus, it is necessary for the nodes to have methods that schedule channel access. This thesis considers the problem of distributed sensing and channel access in the context of IoT systems, where a set of selfish nodes competes for transmission opportunities. In the channel access part, a memory-one channel access game is proposed to reduce the collision rate, to enhance the cooperation among the nodes, and to maximize their payoffs by optimizing their channel access probabilities, based on the channel state in the previous time step.

Jul 7 - Jul 13, 2019

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  Publishing Advanced Materials Science – How to maximize your success!

  Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley

  Jul 9, 14:00 - 15:00

  B3 L5 R5209

  materials science wiley advanced materials

  Materials science is a multidisciplinary field of research with many different scientists and engineers having various backgrounds active in it. The literature landscape consequently is populated currently by a wide range of journals which greatly differ in purpose, scope, quality, and readership. Jos Lenders, Deputy Editor of Advanced Materials, Advanced Functional Materials, and Advanced Optical Materials, will track some of the most important developments and trends in the research field and the Advanced journals program. Last year, Advanced Materials reached an Impact Factor of 21.95 and received over 8,300 submissions – and Advanced Functional Materials over 9,200. Only around 15% of all those papers made it to publication in the journal, and this rate is similar for all other Advanced journals. So, what do editors do to select the very best papers, and what can authors do to optimize their chances of having their manuscripts accepted?
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  Wireless Network Intelligence @ the Edge

  Dr. Mehdi Bennis, Associate Professor, Centre for Wireless Communications, University of Oulu

  Jul 8, 11:00 - 12:00

  B1 L3 R3119

  machine learning game theory Heterogeneous networks

  In just a few years, breakthroughs in machine learning (ML) and particularly deep learning have transformed every aspects of our lives from face recognition, medical diagnosis, and natural language processing. This progress has been fueled mainly by the availability of more data and more computing power. However, the current premise in classical ML is based on a single node in a centralized and remote data center with full access to a global dataset and a massive amount of storage and computing, sifting through this data for inference.
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  Spectrum Management for Future Generations of Cellular Networks

  Itsikiantsoa Randrianantenaina, Ph.D., Electrical and Computer Engineering

  Jul 8, 08:30 - 10:30

  B1 L2 R2202

  Wireless Communications Stochastic Geometry optimization Cellular Networks

  The demand for wireless communication is ceaselessly increasing in terms of the number of subscribers and services. Future generations of cellular networks are expected to allow not only humans but also machines to be immersively connected. However, the radio frequency spectrum is already fully allocated. Therefore, developing techniques to increase spectrum efficiency has become necessary. In that context, this dissertation analyzes two spectrum sharing techniques that enable efficient utilization of the available radio resources in cellular networks. The first technique, called full-duplex (FD) communication, uses the same spectrum to transmit and receive simultaneously. The second spectrum sharing technique, called non-orthogonal multiple access (NOMA), allows a transmitter to communicate with multiple receivers through the same frequency-time resource unit.

Jun 30 - Jul 6, 2019

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  Abstract Writing

  Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University

  Jul 2, 10:00 - 11:00

  B3 L5 R5209

  Scientific Writing

  This series of lectures guide students to the preparation and analysis of a well-organized abstract. We will discuss the proper language (tense, voice, and person) for abstract writing, and learn how to meet the purposes of different abstracts. Finally, students will have a chance to compose and evaluate their writing. Topics: Overview of abstract writing; Conference abstract journal abstract; Organization of an abstract; Language conventions of abstract writing; Disciplinary abstract analysis; Frequent mistakes of abstract writing.
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  Physical Layer Security of Wireless-powered NOMA-based Cognitive Radio Networks: Fundamentals & Challenges

  Dr. Faissal El Bouanani, Chair of CommNet and ACOSIS conferences

  Jul 1, 11:00 - 12:00

  B1 L2 R2202

  Cognitive radio network IoT 5G and beyond

  Abstract In the last decade, with the emergence of the internet of things (IoT) as well as machine-to-machine (M2M) paradigms, future wireless networks are targeting new critical services such as remote healthcare, surveillance, transportation, etc. In this regard, with the massive expected number of connected IoT and M2M devices, several requirements have been imposed by the regulatory bodies onto the deployment of 5G network. These requirements include, but not limited to, higher connectivity, reduced latency, as well as increased spectral and energy efficiency. Interestingly, the

Jun 23 - Jun 29, 2019

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  Learning to Benchmark: predicting performance limits from data

  Prof. Alfred Hero, Electrical Engineering and Computer Science, University of Michigan

  Jun 25, 11:00 - 12:00

  B1 L4 R4214

  The objective of benchmark learning is to use a training sample to learn about fundamental limits on performance of a classifier or other statistical inference procedure. This meta-learning problem is a crucial component of data science and interpretable AI. Examples include sequential design of experiments, reinforcement learning and sensor management in the fields of statistics, machine learning and systems engineering, respectively. The challenge is learn about best achievable accuracy directly from the data sample without having to approximate and mplement an optimal classifier algorithm. In this talk we will introduce a general information theoretic framework that yields benchmark learners having both linear computational complexity and linear sample complexity. We will illustrate how this framework in the context of benchmarking image classification, autonomous navigation, and deep neural network performance.
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  5G IoT Networks: from Massive access to URLLC

  Prof. Yonghui Li, Director of Wireless Engineering Laboratory, The University of Sydney

  Jun 24, 16:30 - 17:30

  B1 L3 R3119

  the university of sydney IoT M2M Communication

  Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet. The intelligent network for automatic interaction and processing between objects and environments, referred to as the Machine to Machine Communications (M2M) for Internet of Things (IoT), will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness.
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  Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

  Ikram Boukhedimi, Ph.D., Electrical and Computer Engineering

  Jun 24, 12:00 - 14:00

  B1 L3 R3119

  Random Matrix Theory wireless communication systems Ultra-massive MIMO systems

  Massive multiple-input multiple-output (MIMO) is a key enabling technology to achieve the required spectral and energy efficiency of the next generation of wireless networks. By endowing the base station (BS) with hundreds of antennas and relying on spatial multiplexing, massive MIMO allows impressive advantages in many fronts. To reduce this promising technology to reality, thorough performance analysis has to be conducted. Along this line, this work is focused on the convenient high-dimensionality of massive MIMO’s corresponding model. Indeed, the large number of antennas allows us to harness asymptotic results from Random Matrix Theory to provide accurate approximations of the main performance metrics. The derivations yield simple closed-form expressions that can be easily interpreted and manipulated in contrast to their alternative random equivalents. Accordingly, in this dissertation, we investigate massive MIMO in different contexts.
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  Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

  Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

  Jun 24, 09:00 - 10:00

  B1 L4 R4214

  Random Matrix Theory machine learning high dimensional statistics data science

  Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Jun 9 - Jun 15, 2019

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  Efficient Localization of Human Actions and Moments in Videos

  Victor Escorcia, Ph.D., Electrical and Computer Engineering

  Jun 11, 15:00 - 16:00

  B3 L5 R5220

  Computer Vision machine learning artificial intelligence

  Abstract We are stumbling across a video tsunami flooding our communication channels. The ubiquity of digital cameras and social networks has increased the amount of visual media content generated and shared by people, in particular videos. Cisco reports that 82% of the internet traffic would be in the form of videos by 2022. The computer vision community has embraced this challenge by offering the first building blocks to translate the visual data in segmented video clips into semantic tags. However, users usually require to go beyond tagging at the video level. For example, someone may want

May 26 - Jun 1, 2019

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

  Bidoor AlSaif, Ph.D. Student, Electrical and Computer Engineering

  May 27, 10:00 - 11:00

  B2 L5 R5220

  Optical sensors molecular spectroscopy

  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.
• 

  Non-Orthogonal Multiple Access for 5G and Beyond

  Prof. Daniel Costa , Federal University of Ceará

  May 26, 14:00 - 15:00

  B1 L2 R2202

  Federal University of Ceará 5th generation cellular

  Non-orthogonal multiple access (NOMA) has recently emerged not only as a new design of multiple access techniques in cellular networks, but also as a general principle of network architecture for applications beyond cellular systems. This talk will present and discuss the fundamentals of NOMA, and examine how it can be combined with other emerging communication technologies. Some new research trends and challenges will also be discussed.

May 19 - May 25, 2019

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  Data mining and fusion for image analysis in remote sensing

  Dr. Wenzhi Liao, Ghent University, Belgium

  May 19, 12:00 - 13:00

  B2 L5 R5209

  Specifically, I will introduce hyperspectral image restoration and its impacts on content interpretation. Despite advances in sensor technologies, degradation (e.g., noise, blur, low resolution, etc.) cannot be avoided during the hyperspectral images’ acquisitions, which can affect information retrieval and content interpretation. The first part of my talk will present the techniques I developed to improve the image qualities (noise reduction, sharpening, resolution enhancement, etc.), with specific applications to plant disease mapping in precision agriculture and fruit bruise detection in food inspection.

May 12 - May 18, 2019

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  Sim-to-Real Transfer for Autonomous Navigation

  Matthias Mueller, Ph.D., Electrical and Computer Engineering

  May 14, 16:00 - 17:00

  B2 L5 R5220

  Computer Vision UAV robotics machine learning

  This work investigates the problem of transfer from simulation to the real world in the context of autonomous navigation. To this end, we first present a photo-realistic training and evaluation simulator Sim4CV which enables several applications across various fields of computer vision. Built on top of the Unreal Engine, the simulator features cars and unmanned aerial vehicles (UAVs) with a realistic physics simulation and diverse urban and suburban 3D environments. We demonstrate the versatility of the simulator with two case studies: autonomous UAV-based tracking of moving objects and autonomous driving using supervised learning.

May 5 - May 11, 2019

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  Modelling on the Service of Cooperative Communications

  Prof. Slim Chaoui, Jouf University, KSA

  May 5, 14:00 - 15:00

  B1 L3 R3119

  jouf university Cooperative communications Rayleigh-Gaussian model

  I will highlight the main contributions in the field of coded cooperative communications, where at first a study on the performance analysis of network-coded distributed coding schemes with different strategies for handling the relay-error propagation problem will be presented. Furthermore, a study proposing a relay selection scheme based on network-coded soft information relaying will be presented. The introducing of the Rayleigh-Gaussian model, which is applied to the forwarded relay soft symbols, have shown ability to give better performance in dealing with error propagation, and allowed us to give a tractable performance analysis of network-coded schemes under Rayleigh fading channels.

Apr 28 - May 4, 2019

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  The route to chaos in routing games: Population increase drives period-doubling instability and chaos with Price of Anarchy equal to one

  Georgios Piliouras, Assistant Professor, Singapore University of Technology and Design (SUTD)

  Apr 29, 11:00 - 12:00

  B1 L3 R3119

  SUTD game-theoretic analysis robotics

  We study a simple learning dynamic model of routing (congestion) games to explore the effects of increasing the total demand on system performance. We focus on the most benign setting, non-atomic routing games with two parallel edges of linear cost, where all agents evolve using Multiplicative Weights Updates with a fixed learning rate.
• 

  InGaN-based light-emitting devices

  Daisuke Iida, Senior Research Scientist, Electrical and Computer Engineering

  Apr 28, 12:00 - 13:00

  B9 L2 H1

  MOVPE optoelectronics plasmonics photocatalysis solar energy

  III-Nitride-based light-emitting diodes (LEDs) are already commercialized for instance blue and green LEDs. It is very contributed as energy saving light source all over the world. This material is a very attractive material, capable of the emitting range is not only blue light but also UV and visible light. Moreover, application as a power device is also possible, it is one of the materials considered to lead the energy saving society in the future. Visible light LED has a wide range of applications. Visible light LED has a wide range of applications. we expect that there is some application, for instance, μ-LED display, optical communication, plant cultivation, medical treatment, and so on. In the seminar, I will talk about III-Nitride-based visible light emitting devices and introduce recent research with outstanding metalorganic chemical vapor deposition (MOCVD) growth technique.
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  Model Predictive Control Systems for Industrial Applications

  Fahad Albalawi , Research Scientist, Electrical and Computer Engineering

  Apr 28, 09:30 - 10:30

  B3 L5 R5209

  Controller design Model Predictive Control Signal processing

  Model Predictive Control (MPC) is an d advanced control strategy widely used in the process industries and beyond. Therefore, industry is interested in the developments of MPC formulations that can enhance safety, reliability, and economic profitability of chemical processes. Motivated by these considerations, the first part of this talk focuses on the development of methods for integrating process operational safety and process economics within model predictive control system designs.

Apr 21 - Apr 27, 2019

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  Advanced MTJ Sensory Devices for Industrial and Healthcare Applications

  Yousof A. Mashraei, Ph.D., Electrical and Computer Engineering

  Apr 25, 15:00 - 16:00

  B3 L5 R5209

  magnetic sensors IoT consumer electronics

  Magnetic sensors are deployed in many applications such as automotive, consumer electronics, navigation and data storage devices. Their market’s growth is driven by demands of higher performance and more integration; primarily to assist in the advancement of Internet of Things (IoT) and smart systems.
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  GaN-based power devices and power module

  Dr. Liu Xinke, Assistant Professor, Shenzhen University

  Apr 25, 13:00 - 14:00

  B2 L5 R5220

  Shenzhen University power devices power module

  Gallium nitride (GaN)-based power device, e.g. Schottky barrier diodes (SBDs) and high electron mobility transistors (HEMTs), have attracted considerable research interest and well recognized as the next generation high power and high temperature devices, owing to their ultralow conduction loss and fast switching under high voltage and high frequency operations.
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  Design and Optimisation of Next generation Compact Photonic Sensors

  Prof. B. M. Azizur Rahman, City, University of London

  Apr 22, 12:00 - 13:00

  B3 L5 R5209

  sensors

  Although optical sensors incorporating grating inscribed and etched fibres are now sufficiently mature and well established in the market, however, designs based on more exotic nanowires and photonic crystal fibres are becoming increasingly important and showing much improved sensitivity by accessing a larger evanescent field. Similarly, novel planar design concepts, such as the silicon slot guide-based design is showing even greater promise, allowing the exploitation of well-developed CMOS fabrication technologies for potentially low-cost sensor elements.
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  Paving the Way for Next Generation Wireless Data Center Networks

  Amer AlGhadhban, Ph.D. Student, Electrical and Computer Engineering

  Apr 21, 13:00 - 14:00

  B1 L4 R4214

  big data artificial intelligence cloud services

  As big data, articial intelligence, cloud services, cellular infrastructure, content delivery; all of which entail interconnected and sophisticated computing and storage resources. Recent studies on traditional data center networks (DCNs) revealed two key challenges: a biased distribution of inter-rack trac, and unidentied ow multi-classes best known as delay sensitive mice ow (MF) and throughput-hungry elephant ow (EF).
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  Brief Introduction to the Fundamentals of Electrical Discharges in Liquids and Liquid/Solid Interfaces

  EMC Specialist, ABB AB – FACTS in Västerås, Sweden

  Apr 21, 12:00 - 13:00

  B9 L2 H1

  electrical discharges high-powered transformers

  In this seminar I will introduce the basics of the electrical discharges (plasma) in non-polar liquids and liquid/solid interfaces and their importance in specific applications such as high-powered transformers, capacitors, cables etc. The precursor mechanism of breakdown in these liquid and liquid/solid insulating systems are usually call streamers and their characteristics vary significantly with the nature of the liquid, voltage, pressure, electrode configuration, etc.

Apr 14 - Apr 20, 2019

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  On the Application of Extreme Value Theory to the Performance of Modern Wireless Communication Systems

  Assistant Professor Yazan H. Al-Badarneh, Electrical Engineering, University of Jordan

  Apr 18, 14:00 - 15:00

  B1 L3 R3119

  The University of Jordan

  Extreme value theory (EVT) deals with the asymptotic distributions of the extremes (maximum or minimum) of a set of N random variables, as N grows large. EVT is a powerful tool to analyze the performance of generalized user selection in modern wireless Communication systems. In this talk, we will provide an overview of EVT and its application to the performance of generalized user selection for multiuser traditional wireless and cognitive radio networks.
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  Estimation Problems for Partial and Fractional Differential Equations - Spring 2019

  Apr 18, 12:00 - 13:00

  B9 L2 H1

  Fractional differential equation Partial Differential Equations

  We will present some new methods for source and parameters estimation for partial and fractional differential equations and illustrate the results with some simulations and real applications.
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  A New DC-AC Interconnected Modular Multilevel Converter for Multiple Applications

  Prof. Ahmed Allehyani, University of Jeddah

  Apr 14, 12:00 - 13:00

  B9 L2 H1

  university of jeddah high-power-density IMMC

  This seminar highlights a new high-power density Interconnected Modular Multilevel Converter (IMMC) with sinusoidal output voltage for multiple applications. The proposed converter utilizes wide band gap devices at a high switching frequency to achieve compact size/weight/volume. The proposed converter is modular in construction, employs high frequency L-C components and can be stacked for voltage sharing.

Apr 7 - Apr 13, 2019

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  Wearable antennas, 3D-Printed RF Materials and Metamaterials Research

  Dr. Will Whittow, Loughborough University, UK

  Apr 11, 14:00 - 15:00

  B1 L4 R4214

  This talk will introduce Loughborough University and show some of the Engineering research and facilities. The talk will then focus on the research of Dr. Whittow and his colleagues at Loughborough University. This will include wearable antennas, inkjet printing, RFID tags, 3d-printing and metamaterials. The work will include some results from SYMETA which is a $7 million project to develop RF-devices.
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  Multiphysics Simulation of Semiconductor-based Terahertz Devices

  Liang Chen, Research Scientist, Electrical and Computer Engineering

  Apr 7, 12:00 - 13:00

  B9 H1

  computational physics electromagnetics electronic transport nanostructures photoconductive antennas

  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.

Mar 31 - Apr 6, 2019

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  Visible light communication

  Guangyu Liu, Research Scientist, Photonics Laboratory

  Mar 31, 12:00 - 13:00

  B9 H1

  vlc communications

  The wireless communication technology has been evolved from 1G to 5G networks. The next 6G era will bring about higher demands for bandwidth and speed. Visible light communication (VLC) shows great potential in providing high speed and secure communication link by utilizing the unregulated visible light spectrum to carry the data. In this seminar, the overview of VLC will be presented first. The devices and components developed for VLC network will then be reviewed and discussed in details. I will also briefly talk about the application of underwater communication application by using visible light at the end of the seminar.
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  Implantable and Wearable Microelectronic Devices to Improve Quality of Life for People with Disabilities

  Maysam Ghovanloo, Professor of Electrical and Computer Engineering, Georgia Institute of Technology, USA

  Mar 31, 09:00 - 10:00

  B3 L5 R5209

  Georgia Tech microelectronics sensors RF communications

  Implantable medical devices (IMD) and neuroprostheses are finding applications in new therapies thanks to advancements in microelectronics, sensors, RF communications, and medicine, which have resulted in embedding more functions in IMDs that occupy smaller spaces down to millimeters and consume less power, while offering therapies for more complex diseases and disabilities. I will address the latest developments in key building blocks for state-of-the-art IMDs.

Mar 17 - Mar 23, 2019

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  Design and Control of Multi-Agent Robotic Systems

  Dr. Shinkyu Park, Massachusetts Institute of Technology, USA

  Mar 17, 12:00 - 13:00

  B9 H1 R2322

  MIT

  In this talk, I will present my research on designing multi-agent robotic systems and developing theory and algorithms for system control. The first part of the talk will present my research on designing an animal-borne remote imaging system and developing theory and algorithm for distributed sensor fusion that enables estimation and detection of animal group movements using the system. I will explain data collection capability of the system and share system deployment experiences in monitoring a wild life of African animals In the second part, I will describe my current work on developing a fleet of autonomous robotic vessels.

Feb 24 - Mar 2, 2019

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  KAUST Research Conference 2019: New Trends in Biosensors and Bioelectronics

  Khaled Salama, Professor, Electrical and Computer Engineering

  Feb 25, 07:00 - Feb 27, 23:00

  KAUST

  bioelectronics Biosensors nanoelectronics

  The “KAUST Research Conference on New Trends in Biosensors and Bioelectronics” aims to give an overview of the most recent efforts in bioelectronics that tackle the “interface” problem and overcome the limits of the current technologies by generating new materials/architectures/device components. With its truly interdisciplinary nature, this conference will bring scientists from different disciplines together.

Feb 10 - Feb 16, 2019

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  ML Hub Seminar Series | The Machine Learning (ML) Hub

  Bernard Ghanem, Professor, Electrical and Computer Engineering

  Feb 13, 12:00 - 13:00

  B9 H2 R2325

  machine learning

  The Machine Learning Hub @ KAUST is designed to be the one-stop-shop for machine learning (ML) and artificial intelligence (AI) at KAUST. It is an informal forum for exchanging ideas in these areas, including (but not limited to) theoretical foundations, systems, tools, and applications. It will be providing several offerings to the KAUST community interested in ML and AI, including a regular seminar series where new research in the field is presented, an online social forum dedicated to AI and ML discussions, announcements, brainstorming, collaborations, and hands-on activities (e.g

Jan 20 - Jan 26, 2019

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  Biomedical Signal Processing using the Squared Eigenfunctions of the Schrödinger Operator and Machine Learning

  Abderrazak Chahid, Ph.D. Student, Electrical and Computer Engineering

  Jan 24, 13:00 - 15:00

  B1 B4 B4214

  Signal processing machine learning image processing biomedicine

  Abstract The health of a human body is monitored through several physiological measurements such as the heart rate, the blood pressure, the oxygen saturation levels, brain activity, etc. These measurements are taken at predefined points in the body and recorded as temporal signals or colorful images. During the diagnosis phase, physicians analyze these records visually (sometimes it is not visual with the progress in medicine, better to say: sometimes visually) to take treatment decisions. These records are usually contaminated with noise. The origin of this noise may be diverse. For instance

Dec 16 - Dec 22, 2018

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  Network Engineering as Distinct Academic Discipline Beyond the TEE Movement

  Professor Tarek Al-bawab, Jackson State University

  Dec 19, 14:00 - 16:00

  B1 B3 R3119

  Network Engineering communications

  Abstract: Network Engineering as Distinct Academic Discipline Beyond the TEE Movement Network Engineering is now recognized as distinct education discipline in the USA and in many other countries. This development came about with ABET’s1 2015 (current) Criteria for Electrical, Computer, Communications, Telecommunication(s) and Similarly Named Engineering Programs. Few academic programs focused on this area of study in the past. More programs are expected to emerge now with progress in this field and with ABET recognition of it. Such programs have a great potential to prepare a new generation

Nov 4 - Nov 10, 2018

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  Electrocatalytic and Photoelectrochemical Conversion of Energy and Fuels and Storing Solar Energy in Solar Flow Batteries

  Professor Song Jin, University of Wisconsin-Madison

  Nov 4, 14:00 - 15:00

  B2 L5 R5220

  solar energy photoelectrochemical electrocatalytic

  Due to the intermittent nature of most renewable energy sources (such as solar and wind), practical large scale renewable energy deployment and utilization demand both efficient energy conversion and large scale energy storage or alternative usage. Earth-abundant but highly active electrocatalysts need to be developed to enable efficient and sustainable production of energy using electrocatalytic and photoelectrochemical (PEC) water splitting. We report nanostructures of earth-abundant electrocatalysts, such as exfoliated nanosheets of MoS2, WS2, MoSe2, for the hydrogen evolution reaction (HER

Oct 7 - Oct 13, 2018

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  EE Seminar: AMMONO-GaN: ultimate substrate solution for energy saving GaN power electronics

  Dr. Robert Dwiliński (University of Warsaw, Poland)

  Oct 10, 15:00 - 16:00

  B3 L5 R5220

  photonics

  Bulk gallium nitride (GaN) crystals are regarded as the most promising candidates for substrates for optoelectronic, high power and high frequency electronic devices. After dacedes of extensive research on a numer of methods incluging HNPS, HVPE and Flux - ammonothermal (AMMONO) method of bulk GaN growth offers the best combination of crystal quality and size, within foreseen scalability able to meet huge demands of lighting and power electronic markets. Developed as analogy of hydrothermal method commonly used for multi-ton production of synthetic quartz, AMMONO method currently provides 2-inch crystals of excellent structural properties and wide spectrum of electrical parameters.