Topics

<> Massive MIMO Systems (3)
Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Next Generation Multiple Access with Cell-Free Massive MIMO

Michalis Matthaiou, Professor, Electrical Engineering and Computer Science, Queen’s University Belfast, United Kingdom

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B1 L3 R3119

This talk provides an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios.

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
<> Mathematical modeling (3)

Ali O Balubaid

Ph.D Directed Research at KAUST (King Abdullah University of Science and Technology)

Nadezhda Briantceva

Nadezhda is a Ph.D. student in the Advanced Simulations and Algorithms Lab (AANSLab) and the Communication Theory Lab (CTLab) under the supervision of Professor Matteo Parsani and Professor Mohamed-Slim Alouini. Education and Early Career Nadezhda obtained her bachelor degree in Applied Mathematics and Computational Science from Saint Petersburg State University (SPbSU) in 2018. She also has experience in commercial IT development as a QA engineer. Research Interest Nadezhda is focusing in the area of multi-agent systems, as well as mathematical modelling and optimization. Education Profile Ph

Duc Minh Nguyen

Duc Minh Nguyen is a Ph.D. student under the supervision of Professor Mohamed-Slim Alouini at the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division in King Abdullah University of Science and Technology (KAUST). Education and Early Career Minh is a graduate from Dankook University, Republic of Korea (2018) where he received a B.Eng. Degree in Mobile Systems Engineering, with a minor in International Business Administration. During his time at Dankook University, Minh worked on Social Networks Analysis. He developed an accurate spatial clustering algorithm based on
<> memristor (3)

Mohammed Zidan awarded IEEE Circuits and Systems Society Pre-Doctoral Fellowship

1 min read ·
Mohammed Affan Zidan, sensors lab member and Ph.D. candidate in the Electrical Engineering (EE) Program at the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division, received the IEEE Circuits and Systems (CAS) Society Pre-Doctoral Fellowship.

Mohammed Affan Zidan

Mohammed Affan Zidan obtained his Ph.D. Degree in the Electrical Engineering (EE) Program from King Abdullah University of Science and Technology, under the supervision of Prof. Khaled Nabil Salama. Mohammed Zidan earned his M.Sc. in Electronics and Communications Engineering from Faculty of Engineering, Cairo University, Egypt in 2010, where he was ranked first. In 2006, he received his B.Sc. in Electronics and Communications Engineering, Institute of Aviation Engineering and Technology (IAET), Egypt, also ranking first. Before joining KAUST, he worked as a teaching assistant at the German

Dayanand Kumar

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dayanand Kumar is a Postdoctoral Research Fellow focusing his research on smart multifunctional optoelectronic synaptic devices.
<> memristors (3) <> metamaterials (3)

Light management in non-Hermitian media

Dr. Waqas Ahmed, Electrical Engineering, King Abdullah University of Science and Technology

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KAUST

Structured media provide the momentum compensation for the scattering of waves. It is well-known that nano-scale modulations of the refractive index may lead to a temporal and spatial control over light propagation. Yet, also engineering the gain and loss profile uncovers analogous shaping effects. However, only the interplay between both the refractive index and gain and loss modulations introduces unidirectionality in light management. Thus, non-Hermitian optics has become one of the most fertile grounds in optics. A generalized Hilbert transform allows tailoring the two quadratures of the complex permittivity to design periodic or disordered non-Hermitian media, holding either global or local unidirectionality following arbitrary vector fields to tailor the flow of light. The method allows restricting the permittivity within realistic values rendering it suitable for applications.

Dark materials squeeze green fuel from sunlight

1 min read ·
Metallic nanostructures that slow down light dramatically can triple the efficiency of solar-based hydrogen fuel generation.

Ying Wu

Professor Wu works on theoretical modeling and numerical simulations of classical wave propagation in complex media, including metamaterials, metasurfaces, topological materials and random systems. She is recognized by effective medium theory, perturbation theory for periodic structures with resonances.
<> MIMO and Passive radar (3)

Dr. Basem Shihada and Dr. Sajid Ahmed promoted to Senior Member of IEEE

1 min read ·
Dr. Basem Shihada and Dr. Sajid Ahmed have been elevated to the rank of Senior Member of IEEE. This is considered a significant honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

Seifallah Jardak

Introduction Seifallah Jardak, Ph.D. alumni of King Abdullah University of Science and Technology (KAUST) class 2018, is currently holding a research engineer position at Toshiba Telecommunications Research Laboratory (TRL), Bristol, UK. Education and Early Career Seifallah Jardak obtained his Diplôme d’Ingénieur from Ecole Polytechnique de Tunisie, in Tunisia in 2012. Afterward, he joined King Abdullah University of Science and Technology (KAUST) to pursue his Master and Ph.D. degrees in Electrical Engineering supervised by Prof. Sajid Ahmed and Prof. Mohamed-Slim Alouini. During his graduate

Sajid Ahmed

Senior Research Scientist, Electrical and Computer Engineering
Current position I am a Research Scientist at KAUST. The broad area of my research is array signal processing with application to radar and communication. My current research focuses on finding low complexity innovative solutions and development of state-of-the-art technologies, for autonomous vehicles and biomedical problems. Why did you choose KAUST? I was very much inspired by the worthy endeavor of making KAUST a new “House of Wisdom” in the region, and I wanted to be a part of it. KAUST is a model institution for the advancement of scientific research. How is KAUST helping you fulfill
<> MIMO-radar waveform design (3)

Dr. Basem Shihada and Dr. Sajid Ahmed promoted to Senior Member of IEEE

1 min read ·
Dr. Basem Shihada and Dr. Sajid Ahmed have been elevated to the rank of Senior Member of IEEE. This is considered a significant honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

Sajid Ahmed

Senior Research Scientist, Electrical and Computer Engineering
Current position I am a Research Scientist at KAUST. The broad area of my research is array signal processing with application to radar and communication. My current research focuses on finding low complexity innovative solutions and development of state-of-the-art technologies, for autonomous vehicles and biomedical problems. Why did you choose KAUST? I was very much inspired by the worthy endeavor of making KAUST a new “House of Wisdom” in the region, and I wanted to be a part of it. KAUST is a model institution for the advancement of scientific research. How is KAUST helping you fulfill

Karim Saifullin

Karim Saifullin is a PhD student at the CLT group at KAUST, focusing on research in Joint Radar and Sensing, Wireless Communications, and the application of Quantum Computing to radar and signal processing. He obtained his specialist degree from BMSTU and has accrued approximately 3.5 years of experience in diverse organizations within the field of wireless communications. In addition to his research, he serves as a teacher and teaching assistant across multiple courses.
<> mmWave/Terahertz communications (3)

Wafa Hedhly

Wafa Hedhly 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 Wafa obtained her Engineering Degree in Telecommunication from the Higher School of Communication of Tunis (Sup’Com) in 2017. In spring 2017, she was a visiting student in KAUST for 4 months working on her graduation project. Research Interest Wafa is focusing on resource allocation in future Terahertz networks. Education Profile Ph.D. in Kind Abdullah University of Science and

Srujana Kagita

Selected Publications ​S.Kagita,A.Basu,S.K.Koul , "Electrically Tunable Ferrite Bandpass Filter in X-Band With Wide Tunability," in IEEE Transactions Magnetics, vol. 55, no. 7, pp. 1-4, July 2019. S.Kagita,A.Basu,S.K.Koul," Characterization of LTCC based ferrite tape and its application to electrically tunable phase shifter and notch filter," IEEE.Transactions in Magnetics , vol.53 , issue 1, 2017. S.Kagita,A.Basu,S.K.Koul,"Modeling of LTCC-Ferrite Tunable Inductors and Development of an L -Band Phase Shifter," IEEE.Trans.Magn,vol.51, no.10, pp.1-9, Oct. 2015. Education Profile ​​PhD , Topic

Shuaishuai Guo

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuaishuai Guo is a Postdoctoral Fellow with Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alumni in the Communication Theory Laboratory. Education and Early Career Shuaishuai Guo received the B.E and Ph.D. degrees in communication and information systems from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2011 and 2017, respectively. During 2016-2017, he visited the University of Tennessee at Chattanooga (UTC) as a visiting scholar
<> MOVPE (3)

InGaN-based light-emitting devices

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B9 L2 H1

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.

Daisuke Iida

Senior Research Scientist, Electrical and Computer Engineering
Daisuke Iida is a Senior Research Scientist at Energy Conversion Devices and Materials (ECO Devices) Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE). He holds a Ph.D. in Materials Science and Engineering from Meijo University in 2011. Afterward, he held postdoctoral and visiting researcher positions at Meijo University and Technical University of Denmark. Then, he worked as an assistant professor at Tokyo University of Science from 2014 to 2017. His research interest is III-nitride semiconductors-based optoelectronic devices, especially the

Carmen Leticia Castrejon Barron

Carmen Leticia Castrejon Barron is a Ph.D. candidate at Energy Conversion Devices and Materials (ECO Devices) Laboratory under the supervision of Professor Kazuhiro Ohkawa at King Abdullah University of Science and Technology (KAUST). Education MSc, Electrical Engineering, KAUST, Saudi Arabia, 2016 ME, Education, Tec Milenio university, Chihuahua, Mexico, 2013 BSc, Electromechanical Engineering, Instituto Tecnologico de Ciudad Jimenez, 2009 Research Interests Carmen's research interests include Light sources, Solar Energy, Plant biology and Desert agriculture.
<> Multi-robot Systems (3)

Engineering Scalable Multi-Robot Systems for Reliable Operation Under Uncertainty and Resource Constraints

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B4/5 A0215

This talk presents a constraint-driven engineering perspective on achieving reliable operation in scalable multi-robot systems under uncertainty and resource constraints.

Norah Alghamdi

Education 2021.07 - Present Ph.D. Student in Electrical and Computer Engineering, KAUST, KSA 2018.08 - 2021.06 M.S. in Electrical and Computer Engineering, KAUST, KSA 2013.08 - 2018.07 B.S. in Electrical and Computer Engineering, King Abdulaziz University, KSA Selected Publications N.K. Alghamdi, D.A. Shamma, J.S. Shamma, "Analyzing the Passivity of the Human Decision Making Rule in a Congestion Game Experiment" 2022 IEEE American Control Conference (ACC), 4826-4831, (2022). Areas of Expertise and Research Interests ​Game Theory Multi-robot Systems Robotics Human-robot Interaction

Abdulrahman Alshammari

Education Profile 2021.08 - Present M.S. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2013.08 - 2018.05 B.S. in Mechanical Engineering, Alfaisal University, KSA Areas of Expertise and Research Interests ​Robotics and Control Multi-robot Systems Drones Autopilot
<> Nanogenerators (3)

An origami 'slinky' that harvests incidental energy

1 min read ·
Lightweight and low-cost device uses friction inside paper-based coils to transform mechanical motion into electricity.

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.

Latifah Al Maghrabi

Latifah Al-Maghrabi is pursuing a master's degree in Electrical Engineering in the electrophysics track at King Abdullah University of Science and Technology (KAUST). Currently, the questions that guide Latifah's journey of investigation revolve around exploring novel lower dimensional materials for integration with group-III-nitride-based optoelectronic devices at the Photonics Laboratory at KAUST. By understanding the physics at the device level, she hopes to be able to enhance optoelectronics used for light and energy generation. In May 2018, Latifah graduated with a B.S. in Electrical
<> nanoscale (3)

Tsunami On Demand: The Power To Harness Catastrophic Events

1 min read ·
A new study published today on Nature Physics features a nano-optical chip that makes possible generating and controlling nanoscale rogue waves. The innovative chip was developed by an international team of physicists, led by Andrea Fratalocchi from King Abdullah University of Science and Technology (KAUST), in Saudi Arabia, and is expected to have significant applications for energy research and environmental safety.

Optical chips harness the power of rogue waves

1 min read ·
A microchip designed to generate and control rogue waves of light on the nano-scale has many potential applications.An optical chip to create and harness the power of nanoscale rogue waves of light could ultimately lead to better prediction systems for weather events and natural disasters by improving researchers’ understanding of the mechanisms that underpin chaotic wave events. Natural catastrophic events are inherently unpredictable, stemming from high-energy, chaotic systems that are difficult to understand or emulate. Andrea Fratalocchi, and his team from KAUST, in collaboration with

A firefly's flash inspires new nanolaser light

1 min read ·
Synchronized emissions from innovative on-chip lasers create possibilities for inexpensive artificial neural networks.
<> nanoscience (3) <> neural network (3)

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Economic Model Predictive Control Strategies for Nonlinear Systems

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KAUST

The first part of this talk provides a brief introduction of the EMPC (motivation, challenges, and solutions). The second part of this talk proposes a regret-based robust EMPC paradigm for nonlinear systems subject to unknown but bounded disturbance. The main motivation of the proposed work is the possible improvement of the economic performance when one considers the regret function as the objective function for the robust EMPC algorithm instead of the worst cost. The third part of this talk introduces an integrated framework that combines a Neural Network (NN) algorithm with an MPC scheme that can guarantee closed-loop stability in the presence of deception cyberattacks (e.g., min-max cyberattack). Both discrete-time and continuous-time nonlinear systems will be utilized throughout the talk to demonstrate the applicability and effectiveness of the proposed control methods. Finally, future research directions will be presented at the end of the talk.

Why Today’s Neural Networks Still Use the 1943 McCullosh and Pitt’s Neuron Model?

Prof. Moncef Gabbouj, Department of Computing Sciences, Tampere University

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B1 L3 R3119

Operational Neural Networks (ONNs) are new generation network models targeting to address two major drawbacks of conventional Convolutional Neural Networks (CNNs): the homogenous network configuration and the “linear” neuron model that can only perform linear transformations over previous layer outputs. ONNs can perform any linear or non-linear transformation with a proper combination of “nodal” and “pool” operators.
<> NTN Communication (3)

Mukhtiar Ahmad

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mukhtiar Ahmad is currently a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His research interests encompass Non-Terrestrial Networks (NTN), terrestrial cellular networks, distributed systems, and edge computing, with a primary focus on enabling Ultra-Reliable Low-Latency Communication (URLLC) applications. Education and Early Career Mukhtiar Ahmad received the M.Sc. and M.Phil. degrees in Electronics from Quaid-i-Azam University, Islamabad, Pakistan, and the Ph.D. degree in Electrical Engineering from the Lahore University of Management
KAUST-CEMSE-ECE-Omar-Khalifa-Winner-Of-Non-Terrestrial-Networks-for-6G-(NTNYS'24

KAUST ECE students achieve high honors in Competition on Non-Terrestrial Networks for 6G (NTNYS'24)

4 min read ·
KAUST Ph.D. candidate Omar Khalifa earned an impressive second place in the global Competition on Non-Terrestrial Networks for 6G (NTNYS'24). The IEEE Future Networks Initiative organized the competition as part of the "Connecting the World from the Skies Global Forum," which took place last November in Riyadh. Second place, and a prize of $10,000, was awarded to Khalifa based on his work titled "Supplying Data for Digital Twins in Green Smart Cities: A Non-Invasive NTN-IoT Approach." The international forum, which focused on the theme “Shaping the Future of Converged Connectivity,” was hosted

Hao Lin

KAUST provides the best environment for us to develop. At KAUST, there are many excellent Professors and friends who can study and do research together. Communication Engineering is an interesting subject that is a key tech for the future. Communication Theory is highly worthy of our in-depth research.
<> on-chip light sources (3) <> Optical (3)
optoelectronic device can adapt to light

Artificial neurons enable neuromorphic computing with light

1 min read ·
An adaptive capacitor that can sense and learn through optical stimuli enables learning and recognition tasks.

Pointing and Trajectory Tracking Control for Optical Wireless Communication

Ibrahima N’Doye, Research Scientist, Electrical and Computer Engineering (ECE), CEMSE, KAUST

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KAUST

In this talk, I will present our recent works on reducing the beam pointing error for improved free-space optical communication (FSO) link performance. Specifically, I will discuss a robust control strategy that reduces the beam alignment error under controlled weak turbulence conditions for FSO systems. Then, I will discuss localization and tracking control of a mobile target ship with an autonomous underwater vehicle (AUV) in underwater environment. The framework is designed using a hybrid acoustic-optical underwater communication to drive the AUV to the maximum achievable data rate angle. The acoustic link is used for non-line-of-sight localization, and the optical link is for line-of-sight transmission. I will conclude the talk by providing recent results on estimating the alignment angle through a novel estimation-based reference trajectory control algorithm for an LED-based optical communication model.

Sutanu Ghosh

Sutanu Ghosh is a visiting research scholar under the supervision of Prof. Dr. Mohamed-Slim Alouini at the Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division in King Abdullah University of Science and Technology (KAUST). Education and Early Career Sutanu Ghosh obtained his Master Degree from Jadavpur University, India and Ph.D Degree from Indian Institute of Engineering Science and Technology, India. Research Interest Sutanu Ghosh is focusing his research in the area of Device-to-Device Communication, optical wireless communication, Energy harvesting, Internet-of
<> optical fiber (3) <> PDEs (3) <> photocatalysis (3)

InGaN-based light-emitting devices

-

B9 L2 H1

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.

Dark materials squeeze green fuel from sunlight

1 min read ·
Metallic nanostructures that slow down light dramatically can triple the efficiency of solar-based hydrogen fuel generation.

Daisuke Iida

Senior Research Scientist, Electrical and Computer Engineering
Daisuke Iida is a Senior Research Scientist at Energy Conversion Devices and Materials (ECO Devices) Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE). He holds a Ph.D. in Materials Science and Engineering from Meijo University in 2011. Afterward, he held postdoctoral and visiting researcher positions at Meijo University and Technical University of Denmark. Then, he worked as an assistant professor at Tokyo University of Science from 2014 to 2017. His research interest is III-nitride semiconductors-based optoelectronic devices, especially the
<> photonic integrated circuits (3) <> precision agriculture (3)

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering
Ting Li is a Postdoctoral Research Fellow focusing her research on bridging the gap between complex data and real-world agricultural impact.

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
<> Programming language (3) <> prototyping (3)
H

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.

KAUST student wins global sensors and measurement systems competition

1 min read ·
KAUST master's degree student José Ilton de Oliveira Filho recently won first place at the second edition of the IEEE International Sensors and Measurement Systems Student Contest (IEEE IS&M-SC). IEEE IS&M-SC is a global competition directed at teams of advanced undergraduates, master's degree and Ph.D. students and seeks to stimulate creative ideas for sensor and measuring systems applications.

Jose Ilton De Oliveira Filho

Postdoctoral Research Fellow, Electrical and Computer Engineering
José Ilton is currently a Postdoctoral Fellow in the Electrical and Computer Engineering program, at King Abdullah University of Science and Technology (KAUST). José is focused on instrumentation, prototyping, and communication theory. Education and Early Career José Ilton did his bachelor’s in electrical engineering on the track of Power Systems at Federal University of Piaui with 1.5-year exchange period at Budapest University of Technology and Economics, in 2015. At King Abdullah University of Science and Technology (KAUST) he did his master’s in electrical engineering on the topic of
<> quantum dot lasers (3) <> radio frequency communication (3)

KAUST scientists use new mathematical approach to protect aircraft from 5G interference

1 min read ·
Study offers first application of stochastic geometry for the safe deployment of 5G towers around runways

Professor Mohamed-Slim Alouini named a Fellow of SPIE and a Distinguished Lecturer of the IEEE Photonics Society

4 min read ·
Professor Mohamed-Slim Alouini earns SPIE Fellow and IEEE Distinguished Lecturer titles, highlighting his influential contributions to optical wireless communications.

Outstanding KAUST research acknowledged by leading photonics journal

1 min read ·
KAUST professors Boon Ooi and Osman Bakr and their respective research groups have recently had their collaborative research recognized by one of the major journals for optics and photonics, Light: Science & Applications (LSA). The teams’ paper— titled "High-speed color-converting photodetector with all-inorganic CsPbBr3 perovskite nanocrystals for ultraviolet light communication—" was awarded as an “Outstanding Paper of Light: Science & Applications in 2020.”
<> reconfigurable computing (3) <> reliability testing (3)

Reproducibility in Computer Science - Part 1

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 2

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 3

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
<> renewable energy technologies (3) <> reproducibility issues (3)

Reproducibility in Computer Science - Part 1

-

B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 2

-

B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 3

-

B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
<> research conference (3)

KAUST Research Conference of Robotics and Autonomy 2021

1 min read ·
The KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The online event was organized by Prof. E. Feron, Prof. B. Ghanem, Prof. X. Zhang and had six sessions on Marine Robotics, Human-Robot Interactions, Aerospace Robotics, Mobile Robotics, Wearable Robotics & Microrobotics, Assured Autonomy. Twenty-seven speakers (seven from KSA including three from KAUST, and three from industry)

The Recordings of the #RobotoKAUST talks are available

1 min read ·
The first KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The recordings of the talks are available online! To watch the talks, please visit our website #RobotoKAUST or our KAUST RISC Lab YouTube Channel.

The KAUST Research Conference on Robotics and Autonomy 2022 #RobotoKAUST

1 min read ·
Building upon our successful online conference in spring 2021, the KAUST Robotics, Intelligent Systems, and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST2022) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines.
<> RF circuits (3)

Two KAUST students selected for the Three Minute Thesis 3MT competition final at IMS2017

1 min read ·
This year, KAUST took the lion's share at the Three Minute Thesis (3MT(R)) contest at the annual IEEE microwave symposium IMS2017, with two students selected to take part in the final and one of them - Dr. Farhan Abdul Ghaffar - finishing within the top 4 and getting Honorable Mention for his presentation.

Srujana Kagita

Selected Publications ​S.Kagita,A.Basu,S.K.Koul , "Electrically Tunable Ferrite Bandpass Filter in X-Band With Wide Tunability," in IEEE Transactions Magnetics, vol. 55, no. 7, pp. 1-4, July 2019. S.Kagita,A.Basu,S.K.Koul," Characterization of LTCC based ferrite tape and its application to electrically tunable phase shifter and notch filter," IEEE.Transactions in Magnetics , vol.53 , issue 1, 2017. S.Kagita,A.Basu,S.K.Koul,"Modeling of LTCC-Ferrite Tunable Inductors and Development of an L -Band Phase Shifter," IEEE.Trans.Magn,vol.51, no.10, pp.1-9, Oct. 2015. Education Profile ​​PhD , Topic

Jose Manuel Gonzalez

Jose Manuel Gonzalez worked as a Post Doctorate Fellow at Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group with Professor Atif Shamim at King Abdullah University of Science and Technology (KAUST) during (2012-2013). Currently, Jose is working as an Adjunct Professor, in the Electronic Technology Department​ at the University of the Basque Country UPV-EHU (Universidad del País Vasco-Euskal Herriko Unibertsitatea). Research Interests Jose' research interests include RF circuit and EM structure design for agile wireless communications, Advanced LTCC System-on
<> scientific enterprise (3)

Reproducibility in Computer Science - Part 1

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 2

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B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.

Reproducibility in Computer Science - Part 3

-

B9 L3 R3223

Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
<> semiconductor laser (3) <> semiconductor optoelectronic devices (3)
optoelectronic device can adapt to light

Artificial neurons enable neuromorphic computing with light

1 min read ·
An adaptive capacitor that can sense and learn through optical stimuli enables learning and recognition tasks.

Yasser Khan

Yasser obtained a Master's degree in Electrical Engineering under the supervision of Professor Boon Ooi at King Abdullah University of Science and Technology (KAUST). He worked on his master's thesis, "Energy harvesting in random medium" at Oxford University under the supervision of James Kirkpatrick, Ph.D. (Oxford), Prof. Boon Ooi (KAUST), and Prof. Andrea Fratalocchi (KAUST). He graduated Summa Cum Laude in Electrical Engineering from the University of Texas at Dallas in Spring 2010. Previously, Yasser has worked as a graduate student researcher at the Center for Advanced Molecular

Mohammed Zahed Mustafa Khan

Postdoctoral Research Fellow, Photonics Laboratory
Mohammed Zahed Mustafa Khan worked as a Post-Doctoral fellow at the Photonics lab after receiving his Ph.D. degree in Electrical Engineering under the supervision of Prof. Boon Ooi from King Abdullah University of Science and Technology (KAUST). Mohammed received his Master’s degree in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2004, and Bachelor’s degree in Electronics and Communication from Osmania University, India, in 2001. Mohammed is currently an Assistant Professor at King Fahd University of Petroleum and Minerals, Saudi Arabia
<> sensors fabrication (3) <> signal analysis (3) <> Signal Applications (3) <> smart grids (3)

Smart Grids Communications: Protocols and Cybersecurity

Suhail Shaik, Electrical Engineering Department, King Fahd University of Petroleum & Minerals

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B9 L2 H2 H2

The conventional power system is transforming into a smart grid through the integration of information and communication technologies (ICT). The incorporation of advanced ICT in the smart grid enhances its control and operational efficiency.

Blocking microgrid cyberattacks to keep the power flowing

1 min read ·
Power grids have become far more complex in recent decades due to energy demands, environmental regulations and small-scale renewable energy systems that turn businesses and individuals into combined consumer-producers. One way to ensure that power supplies remain resilient is to create small groups of sources and loads called microgrids. Microgrids can operate independently of the main grid when required, such as supporting hospitals during natural disasters, for example. As microgrids grow more complex, they require sophisticated computer networks to coordinate, control and distribute

Shehab Ahmed

Professor Shehab's research focuses on power electronics, renewable energy integration and electric vehicle technologies. His work explores innovative solutions for efficient energy conversion, power management within smart grids, and the development of sustainable transportation systems.
<> software development (3) <> Statistical Modeling (3) <> Stochastic processes (3) <> supercomputing (3) <> thin films (3)

Meng Tang

Meng Tang’s research focuses on the physics and applications of spintronics, with an emphasis on the experimental exploration of spin-orbit torque phenomena and their applications in developing new types of information storage and processing devices. His work aims to contribute to the advancement of information technology with ultra-low power consumption.

Applications of Magnetic Transition Metal Dichalcogenide Monolayers to the Field of Spinorbitronics

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KAUST

Magnetic random access memory (MRAM) devices have been widely studied since the 1960s. During this time, the size of spintronic devices has continued to decrease. Consequently, there is now an urgent need for new low-dimensional magnetic materials to mimic the traditional structures of spintronics at the nanoscale. We also require new effective mechanisms to conduct the main functions of memory devices, which are: reading, writing, and storing data.

Idris H. Smaili

Idris H. Smaili is a Ph.D. student in the electrical and computer engineering program at Computational Physics & Materials Science Lab under the supervision of Prof. Udo Schwingenschlogl at King Abdullah University of Science and Technology (KAUST). Idris obtained his bachelor's degree in Electrical Engineering, Electronics, and Communications from King Abdul-Aziz University (KAU) in Jeddah, Saudi Arabia, in 2007. After that, he joined Rochester Institute of Technology (RIT), Rochester, NY, USA, to receive his master's degree in Microelectronic Engineering in 2014. Idris is a lecturer at the
<> thin-film transistors (3) <> tracking (3)

Pointing and Trajectory Tracking Control for Optical Wireless Communication

Ibrahima N’Doye, Research Scientist, Electrical and Computer Engineering (ECE), CEMSE, KAUST

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KAUST

In this talk, I will present our recent works on reducing the beam pointing error for improved free-space optical communication (FSO) link performance. Specifically, I will discuss a robust control strategy that reduces the beam alignment error under controlled weak turbulence conditions for FSO systems. Then, I will discuss localization and tracking control of a mobile target ship with an autonomous underwater vehicle (AUV) in underwater environment. The framework is designed using a hybrid acoustic-optical underwater communication to drive the AUV to the maximum achievable data rate angle. The acoustic link is used for non-line-of-sight localization, and the optical link is for line-of-sight transmission. I will conclude the talk by providing recent results on estimating the alignment angle through a novel estimation-based reference trajectory control algorithm for an LED-based optical communication model.

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Rui Li

Rui Li is an Electrical Engineering Ph.D. candidate in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Rui Li obtained bachelor of engineering degree in Telecommunication Engineering from Xidian University in China in 2013. After that in 2016, he received his master degree in Electrical Engineering from University of Science and Technology of China in 2016. Rui started his career life as a Research Assistant at State
<> TU Ilmenau (3)

Exact Backstepping Control for Systems in Pure Feedback Form

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany

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KAUST

Traditional backstepping approaches may struggle to asymptotically stabilize systems in pure feedback form, due to its inherent implicit equations. Approximation based designs only have a limited domain of validity and turn out sensitive to model uncertainty and disturbances. We propose a new design that circumvents the necessity of solving implicit algebraic equations by introducing new state variables. Additional augmentations to the backstepping Lyapunov design lead to explicit expressions for the associated differential equations. The result is a dynamic state feedback, capable of asymptotically stabilizing the origin of a general class of nonlinear systems, based on just standard assumptions.

Part 1 - Introduction to backstepping control

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.

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KAUST

Backstepping is a widely applicable control technique based on Lyapunov theory that under rather mild assumptions leads to families of control laws for a large class of nonlinear systems. Focusing on systems of ordinary differential equations, we introduce the basic concept (integrator backstepping), generalize it, among others, to systems in strict feedback form and pure feedback form, which all enjoy an inherent controllability property, captured in the system structure. The course ends with extending the setting to the adaptive backstepping case, resorting to the certainty equivalence principle and Barbalat's lemma. The course is furnished by a series of exercises to let the students gather experience on tailored examples.

Part 2 - Introduction to backstepping control

Prof. Johann Reger, Computer Science and Automation Faculty, TU Ilmenau, Germany.

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KAUST

Backstepping is a widely applicable control technique based on Lyapunov theory that under rather mild assumptions leads to families of control laws for a large class of nonlinear systems. Focusing on systems of ordinary differential equations, we introduce the basic concept (integrator backstepping), generalize it, among others, to systems in strict feedback form and pure feedback form, which all enjoy an inherent controllability property, captured in the system structure. The course ends with extending the setting to the adaptive backstepping case, resorting to the certainty equivalence principle and Barbalat's lemma. The course is furnished by a series of exercises to let the students gather experience on tailored examples.
<> Ultra-massive MIMO systems (3)

Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

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B1 L3 R3119

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.

Ikram Boukhedimi

Ikram Boukhedimi was born in Blida, Algeria. She received an Electrical Engineering degree from the Ecole Polytechnique d'Alger, Algeria, in 2013 and an M.S. in Mathematics, Control and Electrical Engineering from Universite de Poitiers, France in 2014. and she earned a Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology in June 2019, Saudi Arabia in Professor Mohamed Slim Alouini’s Communication Theory Lab in Electrical Engineering research group. Her research interests include random matrix theory approaches applied to wireless communication systems

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.
<> Ultra-wideband communication (3)

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohammad Tamim Alkhodary

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .
<> Ultrasonic-based Localization (3)

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

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B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Mohammed Hussain AlSharif

Postdoctoral Research Fellow, California Institute of Technology (Caltech)
Dr. Mohammed AlSharif is a Postdoctoral Fellow at the California Institute of Technology (Caltech) and a recipient of the KAUST Ibn Rushd Fellowship. His research bridges Riemannian geometry, statistical estimation, and learning for autonomous systems, with applications to high-accuracy pose estimation and robotics.

Fat-hy Omar Rajab

Master's Thesis Abstract The multi-agent robotic system has been proved to be more superior in undertaking functionalities, arduous or even impossible when performed by single agents. The increased efficiency in multi-agent systems is achieved by the execution of the task in a cooperative manner. But to achieve cooperation in multi-agent systems, a good localization system is an important prerequisite. Currently, most of the multi-agent systems rely on the use of the GPS to provide global positioning information which suffers great deterioration in performance in indoor applications, and also
<> underwater optical communications (3)

Underwater optical communication and sensing technology in silent ocean

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KAUST

This dissertation aims to investigate and address noisy ocean issues and build large-scale underwater sensor networks by optical communication and sensing technology. The dissertation proposes using UWOC and FC&S technology to replace the conventional acoustic communication technology and reduce the noise in the ocean. UWOC helps achieve high-speed wireless communications between sensors, vehicles, and even humans for UIoT. The significant challenges of developing UWOC systems are the complex underwater environment's attenuation, scattering, and turbulence effects. This dissertation studied the turbulence effects on the UWOC system’s performance and addressed the pointing-acquisition-and-tracking issues.

Gbps Laser-based underwater wireless optical communication

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B9 L2 H2

I will focus my discussion on optoelectronic devices and system challenges facing long-distance, multiple-Gbps underwater wireless optical communication. The future perspective of underwater photonics will also be discussed.

Mohammed Sait

Mohammed Sait is a Ph.D. student in Photonics Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) under the supervision of Professor Boon Ooi at King Abdullah University of Science & Technology (KAUST). Research Interests Mohammed's research interests include​Underwater optical communication, and VLC and LiFi technology. Education Profile ​BS. in electronics and communication engineering, University of Leicester, UK (2013-2016). MS. in Digital communication systems, Loughborough University, UK (2016-2017). Awards and Distinctions Clarke Griffith's
<> Underwater Optical Wireless Communications and Networking (3)

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellow at Communication Theory Lab, King Abdullah University of Science and Technology (KAUST) working with Professor Mohamed-Slim Alouini and Professor Tareq Y. Al-naffouri ,Associate Professor with the Department of Electrical and Communication Engineering, United Arab Emirates University (UAEU)

Hassan M. Oubei

Hassan Makine Oubei obtained a Ph.D. degree in Electrical Engineering under the supervision of Prof. Boon Ooi at the Computer, Electrical, and Mathematical Sciences and Engineering Division at KAUST. He received the B.S (2007) degree in Electrical Engineering from the City College of New York, USA. He joined Corning Incorporated’s research and development (R&D) division in Corning, New York where he worked as Opto-Electronics Engineer to develop synthetics green lasers for display applications (2007-2011) and Process Measurements Engineer (2011-2013). While working for Corning, Hassan also

Abdulkadir Celik

Associate Professor, University of Southampton
Abdulkadir Celik's research focuses on next-generation wireless communication systems, including network design, optimization, and emerging wireless technologies.
<> underwater sensor platform (3) <> Underwater wireless optical communication (3)

Color-Converting Luminescent Devices for High-Speed Optical Wireless Communication

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B3 L5 R5209

This dissertation advances optical communication systems by exploring and integrating novel luminescent materials, including MOFs, perovskite nanosheets and quantum dots, and organic fluorophores, to enhance speed, efficiency, and versatility in applications ranging from high-speed visible-light communication and ultraviolet free-space communication to underwater wireless optical communication and optical amplification.

Underwater optical communication and sensing technology in silent ocean

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KAUST

This dissertation aims to investigate and address noisy ocean issues and build large-scale underwater sensor networks by optical communication and sensing technology. The dissertation proposes using UWOC and FC&S technology to replace the conventional acoustic communication technology and reduce the noise in the ocean. UWOC helps achieve high-speed wireless communications between sensors, vehicles, and even humans for UIoT. The significant challenges of developing UWOC systems are the complex underwater environment's attenuation, scattering, and turbulence effects. This dissertation studied the turbulence effects on the UWOC system’s performance and addressed the pointing-acquisition-and-tracking issues.

CEMSE's new underwater wireless optical communication (UWOC) opens new frontier for off-shore control system

1 min read ·
Billions of liters of fuel travel every day along an intricate network of pipelines. Reports show that 15 thousand kilometers of infrastructure exist worldwide, with more than a third being underwater. Efficient real-time monitoring is the next frontier to achieve improved industrial productivity and prevent environmental accidents.
<> UV Communications (3)

What’s the Story with UAV Cellular Communications?

Prof. Giovanni Geraci, Assistant Professor, University Pompeu Fabra (UPF) in Barcelona, Spain

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KAUST

What will it take for UAVs—and the associated ecosystem—to take off? Arguably, ubiquitous high-capacity links paired with hyper-reliable command and control all along. And indeed, meeting these aspirations may entail a full-blown mobile network support. While the understanding of UAV cellular communications has been advancing, many fundamental challenges remain to be addressed, with new applications demanding original solutions. In this talk, we blend academic and industrial views, navigating from 4G to 6G UAV use cases, requirements, and enabling technologies

KAUST Discovery - Unleashing ultraviolet brings visible improvement

1 min read ·
High-speed communication systems based on ultraviolet radiation are now in sight.

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
<> visual computing (3) <> wireless (3)

Near Field Wireless Power Transfer: Circuits and Application

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KAUST

Recently, wireless power transfer has been used in mobile phones, electric vehicles, medical implants, wireless sensor networks, unmanned aerial vehicles, and so on. In this seminar, we will walk through circuit theory and simulations that illustrate the nature and constraints of the technology. We will also address contemporary topics related to application of wireless power transfer in electric vehicle applications.

Pointing and Trajectory Tracking Control for Optical Wireless Communication

Ibrahima N’Doye, Research Scientist, Electrical and Computer Engineering (ECE), CEMSE, KAUST

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KAUST

In this talk, I will present our recent works on reducing the beam pointing error for improved free-space optical communication (FSO) link performance. Specifically, I will discuss a robust control strategy that reduces the beam alignment error under controlled weak turbulence conditions for FSO systems. Then, I will discuss localization and tracking control of a mobile target ship with an autonomous underwater vehicle (AUV) in underwater environment. The framework is designed using a hybrid acoustic-optical underwater communication to drive the AUV to the maximum achievable data rate angle. The acoustic link is used for non-line-of-sight localization, and the optical link is for line-of-sight transmission. I will conclude the talk by providing recent results on estimating the alignment angle through a novel estimation-based reference trajectory control algorithm for an LED-based optical communication model.

Choosing the right scheme for green communications

1 min read ·
Performance analysis reveals how different resource allocation schemes may impact the energy efficiency of a cognitive radio system.
<> wireless communications network (3) <> Wireless power transfer (3)

Wireless Powered Communications in the Era of 6G

Ioannis Krikidis, Associate Professor, Electrical and Computer Engineering, University of Cyprus

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B1 L4 R4214

We discuss the principles of WPC and we highlight its main network architectures as well as the fundamental trade-off between information and energy transfer. By following a bottom-up cross-layer approach, several examples, that deal with the fundamentals of WPC as well as its integration in modern communication systems, are presented. Specifically, we deal with circuit models for WPT, information-theoretic limits, signal processing aspects and waveform design, and system-level analysis by using stochastic geometry tools. Future research directions and challenges are also pointed out.

Malik Almunif

Researcher at King Abdulaziz City for Science and Technology in the Center of Excellence for Microwave Sensor Technology.

Angsagan Abdigazy

Adel Dabah was a ​Visiting Student in the CTL. Education ​B.S. in Electrical Engineering and Computer Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea (September 2015 - Current). Publications LinkedIn Education Profile ​B.S. in Electrical Engineering and Computer Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea (September 2015 - Current).
<> 3D object detection (2)

Indoor 3D Scene Understanding Using Depth Sensors

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KAUST

One of the main goals in computer vision is to achieve a human-like understanding of images. This understanding has been recently represented in various forms, including image classification, object detection, semantic segmentation, among many others. Nevertheless, image understanding has been mainly studied in the 2D image frame, so more information is needed to relate them to the 3D world. With the emergence of 3D sensors (e.g. the Microsoft Kinect), which provide depth along with color information, the task of propagating 2D knowledge into 3D becomes more attainable and enables interaction between a machine (e.g. robot) and its environment. This dissertation focuses on three aspects of indoor 3D scene understanding: (1) 2D-driven 3D object detection for single frame scenes with inherent 2D information, (2) 3D object instance segmentation for 3D reconstructed scenes, and (3) using room and floor orientation for automatic labeling of indoor scenes that could be used for self-supervised object segmentation. These methods allow capturing of physical extents of 3D objects, such as their sizes and actual locations within a scene.

Jean Lahoud

Jean Lahoud was a Ph. D. student in Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at KAUST. Education and Early Career Jean Lahoud received his Bachelor of Engineering in Mechanical Engineering from Notre Dame University in Lebanon in 2012. In 2014, he obtained his Master of Engineering degree in the same field from American University of Beirut in Lebanon. Before joining KAUST, Jean was a product manager at Murex systems in Lebanon. Research Interest Jean Lahoud is interested in 3​D scene understanding using RGB-D sensors. Honors and Awards In
<> 3D reconstruction (2) <> 5G antennas (2) <> 5th generation cellular (2) <> 6G and Beyond (2) <> Acoustic sensing and communications (2) <> acoustic signal detection (2) <> Adaptive communication systems (2) <> Adaptive filtering (2) <> Advanced Perception (2) <> Aeronautical Sciences (2)

Recent Progress in Aeronautical Sciences: Exquisite Stability of Insect Flight and a New Theory of Lift

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B2 L5 R5220

In this talk, I will present a special variational principle that we revived from the history of analytical mechanics: Hertz’ principle of least curvature. Using this principle, we developed a general (dynamical) closure condition that is, unlike the Kutta condition, derived from first principles. In contrast to the classical theory, the proposed variational theory is not confined to sharp-edged airfoils, i.e., it allows, for the first time, theoretical computation of lift over arbitrarily smooth shapes, thereby generalizing the century-old lift theory of Kutta and Zhukovsky. Moreover, the new variational condition reduces to the Kutta condition in the special case of a sharp-edged airfoil, which challenges the widely accepted concept regarding the viscous nature of the Kutta condition. We also generalized this variational principle to Navier-Stokes’, thereby discovering the fundamental quantity that Nature minimizes in every incompressible flow.

Mathematical Control Theory in Aeronautical Engineering: Boosted Maneuverability in Stall and Unconventional Stability of Insect Flight

Haithem Taha, Visiting Professor, Computer, Electrical and Mathematical Sciences and Engineering, KAUST

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B9 L2 H2

The great Russian Mathematician Vladimir Arnold once said, “Mathematics is the part of physics where experiments are cheap”. In this talk, I will present two modern applications in aeronautical engineering where simple, but rigorous, mathematical control theory led to game-changing results exploiting nonlinearities and time-variation rather than obviating them.
<> AI for healthcare (2) <> AI4Science (2) <> Analog circuit design (2)

Shaik Wasef

Shaik Wasef is a Master's student in the Electrical Engineering department at the Integrated Circuit and System Research Group under the supervision of Prof. Hossein Fariborzi at King Abdullah University of Science and Technology (KAUST). Shaik graduated from BITS-PILANI, India in the year 2018. His bachelor’s thesis project was based on configurational anisotropy based magnetic structures for multi-bit memory storage and logic gates. He pursued his bachelor’s thesis at KAUST under the supervision of Professor Hossein Fariborzi and currently working for the ICS group as an MSc/Ph.D. student

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.
<> analog design optimization (2) <> Applied complexity (2) <> artificial intelligence for wireless communication (2) <> attitude determination (2) <> Automatic Control Systems (2) <> Automous Vehicles (2) <> autonomous systems (2) <> bioimaging (2) <> biomedical applications (2)

A journey in applied complexity: pioneering record-performing technologies in clean energy harvesting, machine vision, and smart materials - Public Colloquium

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B9 L2 R2322

Applied Complexity aims to understand the physical origin of these behaviors and transform them into sustainable technologies that tackle global problems of global interest. These range from energy harvesting to clean water production, the design of smart materials, biomedical applications, information security, artificial intelligence, and global warming. In this talk, I will summarize my group's recent research, discussing present results and future challenges of Applied complexity both as a science and engineering.

Mohamed Abdelwaheb Bahloul

My name is Mohamed Abdelwaheb Bahloul, native from Sfax, Tunisia. I am a Ph.D. candidate in the Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST). I first came to KAUST, in 2015, as an intern within the Visiting Student Research Program. Impressed with the University, its facilities, and the KAUST lifestyle, I then applied to KAUST as a master's degree student and was accepted to the electrical engineering program, electro-physics track. After graduating with my M.S. in 2017, I began my Ph.D. studies at KAUST
<> biomedical sensing (2) <> biomimetic sensors (2) <> biosensing (2) <> biotechnology (2) <> cadence (2)

Xuecui Zou

Introduction Xuecui Zou is a PhD student under the supervision of Dr. Hossein Fariborzi and Dr. Khaled Salama in Electrical Engineering at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, Department of Computer, Electrical and Mathematical Science and Engineering (CEMSE). Research Interests Research Interests ​Ultra-low power Micro-resonators for logic and sensing applications​ Education ​ The senior student of UESTC(University of Electronic and Science Technology of China)​ Non-KAUST Affiliations ​ University of Electronic Science and Technology of China (UESTC)​​​

Sally Ahmed

Sally Ahmed was a Ph.D. student in Electrical Engineering in the Computer, Electrical and Mathematical Science & Engineering division of King Abdullah University of Science and Technology. She was a member of the Integrated Circuits and Systems research group (ICS) from May 2016 to December 2020 and her thesis was supervised by Prof. Hossein Fariborzi. Sally obtained her Master's degree in Electrical Engineering from KAUST in 2013 and has a Bachelor's degree in Electronics Engineering from American University in Cairo (AUC). Research Interests Sally's research interests include MEMS Devices
<> cardiovascular (2) <> chemical science (2) <> cloud services (2) <> CMOS electronics (2) <> Cognitive and sensor radio networks (2) <> communication technology (2) <> compliant electronics (2)

Compliant Electronics for Unusual Environments

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B3 L5 R5209

Abstract Compliant electronics are an emerging class of electronics which offer physical flexibility in their structure. Such mechanical flexibility opens up opportunities for wide ranging applications. Nonetheless, compliant electronics which can be functional in unusual environments are yet to be explored. Unusual environment can constitute a harsh environment where temperature and/or pressure is much higher or lower than the usual room temperature and/or pressure. Unusual environment can be an aquatic environment, such as ocean/sea/river/pond, industrial processing related liquid and bodily

Amani Almuslem

Amani S. Almuslem (MS, electrical engineering) is a doctoral candidate in electrical engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. She has two master's degrees, in physics from King Faisal University (KFU) in 2006 and in electrical engineering from KAUST in 2015. Before joining KAUST, she was a lecturer in physics at King Faisal University. Her Ph.D. research is about compliant electronics for unusual environments addressing challenges for material optimization focusing on the electrical performance and flexible mechanical behavior. Education Profile
<> Composite fading channels (2) <> Computational Neuroscience (2) <> Comsol Multiphysics (2)

Xuecui Zou

Introduction Xuecui Zou is a PhD student under the supervision of Dr. Hossein Fariborzi and Dr. Khaled Salama in Electrical Engineering at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, Department of Computer, Electrical and Mathematical Science and Engineering (CEMSE). Research Interests Research Interests ​Ultra-low power Micro-resonators for logic and sensing applications​ Education ​ The senior student of UESTC(University of Electronic and Science Technology of China)​ Non-KAUST Affiliations ​ University of Electronic Science and Technology of China (UESTC)​​​

Sally Ahmed

Sally Ahmed was a Ph.D. student in Electrical Engineering in the Computer, Electrical and Mathematical Science & Engineering division of King Abdullah University of Science and Technology. She was a member of the Integrated Circuits and Systems research group (ICS) from May 2016 to December 2020 and her thesis was supervised by Prof. Hossein Fariborzi. Sally obtained her Master's degree in Electrical Engineering from KAUST in 2013 and has a Bachelor's degree in Electronics Engineering from American University in Cairo (AUC). Research Interests Sally's research interests include MEMS Devices
<> convolutional neural network (2) <> Cooperative networks (2) <> Cross-layer design (2)