Topics

<> machine learning (20)

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology

David Gomez-Cabrero

Associate Professor, Bioscience
Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

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

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Hybrid neural networks for real-time electromagnetic wellbore casing inspection

1 min read ·
A cluster of hybrid neural networks enables the precise characterization of metal loss on concentric wellbore casings.

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

1 min read ·
The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array

2022 SPE Annual Technical Conference and Exhibition

1 min read ·
Moutazbellah Khater and Tarek Mostafa participated in SPE Annual Technical Conference and Exhibition (ATCE) from 3-5 October 2022 in Houston, Texas. This flagship event is the highest caliber technical event for E&P professionals from around the globe. It was a great opportunity for Moutazbellah & Tarek to present their latest research papers where they pushed the limits of well-integrity and pipelines inspection to a new level. Moutazbellah presented his paper entitled “Remote Field Eddy Current System Using Three Axis Fluxgate Magnetometer for Corrosion Inspection” while Tarek presented two

Riyadh Alghamdi

Research Interests My research interests lie in the intersection of software engineering, machine learning, and cyber-physical systems, with a focus on their applications in the oil and gas industry. I am particularly interested in developing intelligent systems that can optimize the extraction process and improve safety in the industry. My work involves using a range of programming languages such as MATLAB, Python, C, and C++ to develop and implement algorithms for machine learning and microprocessor interfacing. My goal is to contribute to the development of more efficient and sustainable

Guang An Ooi

Research Interests Guang develops systems for real-time wellbore casing inspection and 3D visualization. He constructs novel neural networks for electromagnetic inspection tools developed in conjunction with the MERGE team, which generates casing cross-sectional images from spatio-temporal data. In addition, Guang is interested in programming drilling simulators in Java and Python. Education Profile B.Sc., Aeronautics and Astronautics Engineering, National Cheng Kung University, Taiwan, 2017 M.Sc., Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2019
<> Signal processing (9)

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology
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
Ahmad Dkhan

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Alaa Alameer Ahmad

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).

Peter Schmid

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.
<> cybersecurity (8) <> deep learning (8)

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Juan Pablo Muñoz Díaz

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Mhd. Emad Alolaby

Sixiu Liu

Ph.D. degree in Earth science and engineering with the King Abdullah University of Science and Technology (KAUST)

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)
<> artificial intelligence (7)
Najmeddine Dhieb

Najmeddine Dhieb

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Saudi Pipeline International Conference and Exhibition

1 min read ·
Guang An Ooi attended the first Saudi Pipeline International Conference and Exhibition (SPICONX) 2022 held on 3 – 6 October in Dhahran, Saudi Arabia. He presented his work Hybrid Neural Network Cluster for Metallic Pipeline Inspection: A Big Data Approach, under the invaluable guidance of Professor Shehab Ahmed and Professor Hakan Bagci, as well as the cooperation of Dr. Moutazbellah Khater, Dr. Tarek Mostafa, and Dr. Mehmet Burak Ozakin. He had also the honor to be selected as one of the panelists to discuss pipeline inspection and modelling techniques and the applications of artificial
<> Computer Vision (7)

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Abdelrahman Eldesokey

Postdoctoral Research Fellow
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
<> IoT (7)

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Ruochen Zhu

Ruochen Zhu

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

KAUST alumni receive SPE 2020 Regional Awards

1 min read ·
KAUST alumni Dr. Chinthaka Gooneratne and Dr. Bodong Li both recently received Society of Petroleum Engineers (SPE) 2020 Regional Awards for the Middle East and North Africa Region. Gooneratne won the Regional Drilling Engineering Award, while Li was awarded the Regional Formation Evaluation Award.
<> power electronics (5)

Tarek Mostafa

Research Interests ​Since my undergraduate studies, power systems and electronics was and still is the core of most of my researches and projects. Professional Profile 2018 – Present: Researcher, Computer, Electrical, Mathematical Sciences and Engineering (CEMSE) Division and ANPERC member at KAUST Thuwal, Saudi Arabia 2015 – 2018: PhD Student at Green Asia in Kyushu University, Japan. 2017: Internee at Power Electronics lab of the Univ. of Auckland, New Zealand 2013 –2015: Master Student at Green Asia in Kyushu University, Japan. 2014: Trainee at SunEdison Japan Company, Tokyo, Japan. 2013

Moutazbellah Khater

Research Interests Moutaz is an experienced research and development specialist with hands-on industrial experience. His professional experience covers the full product development cycle, from the conceptual phase all the way to implementation. Throughout his academic research and professional career, He has developed several novel applications and solved numerous technical challenges and as a result he has gained a broad experience particularly in automotive electronics, power electronics, magnetic measurements, electronics manufacturing and research and development. With his unique
gustavo soares valentim

Gustavo Soares Valentim

Dissemination Development of a Modular Open Source Power Electronics Didactic Platform L. Koleff et al. 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC), 2019

Gokul Krishnan S

PhD student at KAUST who works in grid design and control using HIL and RCP systems like RTDS, Opal-RT, Speedgoat, Typhoon and dSPACE.

Ashraf Khan

Research Interests Khan's research interest is mainly focused on the development of next-generation chargers for electric vehicles and advanced power converters for future renewable energy systems. Professional Profile 2021: Research Scientist, KAUST, Thuwal, Saudi Arabia 2018-2020: Postdoctoral research and teaching fellow, University of British Columbia, Vancouver, Canada Education Profile M.Sc combined Ph.D., Energy Engineering, Kyungpook National University, Daegu, South Korea, 2018 B.Sc., Electronics Engineering, National University of Sciences and Technology, Islamabad, Pakistan, 2012
<> power systems (5)

5th International Conference on Smart Energy Systems and Technologies

1 min read ·
Otavio Jose Dezem Bertozzi Junior had an honor to attend the 5th International Conference on Smart Energy Systems and Technologies (SEST Conference 2022), held on 5-7 of September in Eindhoven. Otavio presented his very first first-author paper entitled “Optimal Gain-scheduled POD for Power Systems with Hybrid HVDC Links”, co-authored with Harold Chamorro, Omar Kotb, Eduardo Prieto Araujo, and his PhD advisor Shehab Ahmed. With a great technical program and top-notch keynote speakers, this was a fantastic opportunity for Otavio to expand his network and get to know researchers and their

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem

Otavio Bertozzi

Research Interests Control systems and power systems engineering. Modeling, simulation, analysis and design of solutions applied to power system stability and control. Optimal and data-driven approaches to the integration of renewable energy resources. Education Profile M.Sc., Electrical and Computer Engineering, KAUST, Thuwal, Saudi Arabia, 2020 ​B.Sc., Electrical Engineering, Unesp, Bauru, Brazil, 2019 Professional Profile 2017-2018: xDSL Interoperability Testing Intern, Intel Corporation, Munich, Germany 2015: Summer Intern, Rohde & Schwarz Reference Laboratory (BME HVT), Budapest, Hungary
gustavo soares valentim

Gustavo Soares Valentim

Dissemination Development of a Modular Open Source Power Electronics Didactic Platform L. Koleff et al. 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC), 2019

Gokul Krishnan S

PhD student at KAUST who works in grid design and control using HIL and RCP systems like RTDS, Opal-RT, Speedgoat, Typhoon and dSPACE.
<> smart grids (5)

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem

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.

Muhammad Zeeshan

Research Interests Development and Implementation of digital control systems on FPGA and hardware in the loop testing Education Profile BS Electrical Engineering, PIEAS, Islamabad, Pakistan, 2022

Mohammed-Iliès Ayachi

Research Interests Research specialist at KAUST, software engineer, main research topics are the development of a resilient information architecture platform for smart grid application on a distributed cyber physical system, digital twins for city energy forecasting, integration of the various components (Unity game engine, deep learning with tensorflow, pytorch, python, C#, nvidia jetpack, GStreamer). Fog computing with IOT hardware in the loop Modelica/Dymola simulation. Multi-view damage detection and assessment with computer vision and machine learning techniques. Professional Profile Oct

Maha Alsabban

Research Interests Maha is pursuing her M.Sc nowadays at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia under the supervision of Prof. Shehab Ahmed. She received her B.Sc degree in Electrical and Computer Engineering from Effat University in Jeddah, Saudi Arabia in 2021 with a concentration in power and control systems. Her capstone project entitled “Smart Electricity Meter Monitoring and Power Consumption Analysis” focused on monitoring and analyzing power consumption readings from smart meters. Her research interests are in the areas of power distributions
<> Cyber Security (4) <> ISAC (4)
kaust-cemse-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ccsl-bumin-kagan-yildirim

Bumin Kagan Yildirim

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> MATLAB (4) <> renewable energy (4)

Mariam Elshiekh

Research Interests Mariam’s research interests include renewable energy sources integration into electrical power grids, superconductivity applications, and energy storage systems. She is also interested in developing DC circuit breakers for HVDC systems. Professional Profile 2022-present: Research Engineer, KAUST, Thuwal, Saudi Arabia 2020-2021: Lecturer, Tanta University, Tanta, Egypt 2019-2020: Visiting Researcher, Strathclyde University, Glasgow, UK 2016-2020: PhD Researcher, University of Bath, Bath, UK 2009-2015: Teaching assistant, Tanta University, Tanta, Egypt Education Profile M.Sc

Maha Alsabban

Research Interests Maha is pursuing her M.Sc nowadays at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia under the supervision of Prof. Shehab Ahmed. She received her B.Sc degree in Electrical and Computer Engineering from Effat University in Jeddah, Saudi Arabia in 2021 with a concentration in power and control systems. Her capstone project entitled “Smart Electricity Meter Monitoring and Power Consumption Analysis” focused on monitoring and analyzing power consumption readings from smart meters. Her research interests are in the areas of power distributions

Ali Alhejab

Research Interests My research interest is to investigate and develop advanced fault detection and diagnosis techniques for photovoltaic (PV) systems. The performance of PV systems is highly dependent on the reliable and continuous operation of their components. Thus, identifying, and rectifying faults in PV systems is crucial to ensure their efficient and sustainable operation. Professional Profile 2023 - Present, Directed Research Student, KAUST, Thuwal, Saudi Arabia Education Profile Bachelor of Science in Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM)

Ahmed Rezk

Research Interests Ahmed is an experienced Mechanical Engineer in Mechanical Design, Process Engineering, Prototyping, Simulation, Manufacturing, Testing and commissioning of different industrial projects. His interest is in development of the process engineering technologies practically through building innovated electromechanical setups to be valid for efficient transition from small lab scale to the commercialized industrial field and achieving the system reliability. He is skilled in software such as AutoCAD plant 3D, SolidWorks, Catia, CAD/CAM, ANSYS, HYSYS and MATLAB. Professional
<> AI (3) <> award (3)

Outstanding Teaching Assistant Award

1 min read ·
MERGE Group is delighted and proud to announce that Ph.D Student Otavio Jose Dezem Bertozzi Junior has been announced the Outstanding Teaching Assistant Award for the academic year 2021-2022. This award recognizes Teaching Assistants (TAs) who demonstrate superior instructional skills while serving in the classroom or laboratory. This award is based on nominations from graduate students of the CEMSE Division. Otavio currently serves as a TA for the Cyber-Physical System course (ECE263), taught by Professor Eric Feron. Congratulations Otavio!

Dean's Award 2022

1 min read ·
Jelena Skenderija and Alexis Koulidis from MERGE Group have been announced as the recipients of the Dean's Award 2022 in Recognition of Outstanding Academic Performance and Contributions. Both Jelena and Alexis were presented with a certificate at the Dean's Award Celebration Dinner that was held at the Al Marsa Restaurant to celebrate the Energy Resources and Petroleum Engineering Program (ERPE) Awardees on June 16, 2022. Congratulations Jelena & Alexis.

Oil & Gas Middle East Awards 2023

1 min read ·
The Oil & Gas Middle East (ME) Awards 2023 was held on March 2 at the Grosvenor House, Dubai. The event celebrated the brilliant individuals, initiatives, and businesses shaping the Middle East’s oil and gas sector. The awards recognized and rewarded individual excellence, corporate prowess, and projects that have taken strides to become future-ready within the energy sector. This year, organizers received a record number of nominations, surpassing 140 from nearly 50 companies. They are excited to celebrate the success of the projects, initiatives, individuals, and companies that have shaped
<> control systems (3) <> embedded systems (3) <> energy (3)

5th International Conference on Smart Energy Systems and Technologies

1 min read ·
Otavio Jose Dezem Bertozzi Junior had an honor to attend the 5th International Conference on Smart Energy Systems and Technologies (SEST Conference 2022), held on 5-7 of September in Eindhoven. Otavio presented his very first first-author paper entitled “Optimal Gain-scheduled POD for Power Systems with Hybrid HVDC Links”, co-authored with Harold Chamorro, Omar Kotb, Eduardo Prieto Araujo, and his PhD advisor Shehab Ahmed. With a great technical program and top-notch keynote speakers, this was a fantastic opportunity for Otavio to expand his network and get to know researchers and their

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem

Haytham Alhamed

Research Interests Life cycle sustainability assessment, Drilling tools, Drilling automation, Underbalanced drilling, Coiled tubing drilling, Well completion, Energy economics, and Rock mechanics Professional Profile 2015-2016, Drilling Engineer- Oil Drilling Engineering Department, Saudi Aramo 2016-2017, Drilling Foreman- Oil Drilling Engineering Department, Saudi Aramco. 2017-2018, Workover Engineer- Workover Engineering Department, Saudi Aramco. 2018-2019, Drilling Foreman- Gad Drilling Engineering Department, Saudi Aramco. 2018- 2019, Researcher- Drilling Technology Team in EXPEC Advanced
<> haps (3)

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
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.
<> integrated photonics (3)

Mikhail Mishevskii

Mikhail received the B.S. degree in applied mathematics and physics from Novosibirsk State, Novosibirsk, Russia and received a master's degree with honors from the Skolkovo Institute of Science and Technology (Skoltech). His research interests include: nonlinear optics, integrated photonics, ultrafast lasers, frequency comb generation. During his time at Skoltech participated in the Skoltech Translational Research and Innovation Program industrial project to create a pulsed submicron laser for pumping a single-photon quantum light source. Mikhail awarded with Scholarship of the President of

Aleksandr Movsisian

Aleksandr received his bachelor’s degree in 2023 in Physics from Moscow State University (MSU, ranked first in Russia) and completed a master’s degree in Physics with honors at the same institution. He has over two years of research experience in quantum optics, optomechanics, and quantum measurement theory as part of the LIGO group at MSU. His work has focused on squeezed states of light, measurement topologies, and methods to overcome the Standard Quantum Limit, resulting in two first-author publications in JOSA B and Optics Letters. Aleksandr also gained hands-on experimental experience at

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> optimization (3) <> Photonics and optoelectronics (3) <> pipeline (3)

2022 SPE Annual Technical Conference and Exhibition

1 min read ·
Moutazbellah Khater and Tarek Mostafa participated in SPE Annual Technical Conference and Exhibition (ATCE) from 3-5 October 2022 in Houston, Texas. This flagship event is the highest caliber technical event for E&P professionals from around the globe. It was a great opportunity for Moutazbellah & Tarek to present their latest research papers where they pushed the limits of well-integrity and pipelines inspection to a new level. Moutazbellah presented his paper entitled “Remote Field Eddy Current System Using Three Axis Fluxgate Magnetometer for Corrosion Inspection” while Tarek presented two

Saudi Pipeline International Conference and Exhibition

1 min read ·
Guang An Ooi attended the first Saudi Pipeline International Conference and Exhibition (SPICONX) 2022 held on 3 – 6 October in Dhahran, Saudi Arabia. He presented his work Hybrid Neural Network Cluster for Metallic Pipeline Inspection: A Big Data Approach, under the invaluable guidance of Professor Shehab Ahmed and Professor Hakan Bagci, as well as the cooperation of Dr. Moutazbellah Khater, Dr. Tarek Mostafa, and Dr. Mehmet Burak Ozakin. He had also the honor to be selected as one of the panelists to discuss pipeline inspection and modelling techniques and the applications of artificial

KAUST Research Open Week 2023

1 min read ·
KAUST Research Open Week (KROW) was held from 27 February 2023 to 2 March 2023. A week-long forum held at the University Campus under the theme “Research for the Future of Saudi Arabia”. KROW is an opportunity to bring science to the heart of KAUST community and celebrate the excellent research in KAUST. KROW provided a unique forum for a broader discussion providing networking opportunities to faculty, research staff, students and colleagues from industry and government entities. MERGE Group participated in the Scientific Exhibition, Poster Session and ANPERC Open Doors. KAUST Digital Twin
<> Reinforcement Learning (3) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> bioscience (2) <> communication (2) <> conference (2)

5th International Conference on Smart Energy Systems and Technologies

1 min read ·
Otavio Jose Dezem Bertozzi Junior had an honor to attend the 5th International Conference on Smart Energy Systems and Technologies (SEST Conference 2022), held on 5-7 of September in Eindhoven. Otavio presented his very first first-author paper entitled “Optimal Gain-scheduled POD for Power Systems with Hybrid HVDC Links”, co-authored with Harold Chamorro, Omar Kotb, Eduardo Prieto Araujo, and his PhD advisor Shehab Ahmed. With a great technical program and top-notch keynote speakers, this was a fantastic opportunity for Otavio to expand his network and get to know researchers and their

IEEE Innovative Smart Grid Technologies - Middle East 2023

1 min read ·
Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem
<> control systems engineering (2) <> drilling engineering (2) <> Drilling engineering technology (2) <> Dynamical Systems (2) <> electromagnetics (2) <> energy efficiency (2) <> energy storage (2) <> fault detection (2) <> FPGA (2) <> Generative AI and LLMs (2) <> healthcare (2) <> Large Language Models (2) <> LiDAR (2) <> LLM (2) <> Localization (2) <> MEMS (2) <> modeling (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> Nonlinear Optics (2) <> Oil and Gas (2) <> oil industry (2) <> optical computing (2) <> photovoltaics (2)

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

1 min read ·
The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array

Ali Alhejab

Research Interests My research interest is to investigate and develop advanced fault detection and diagnosis techniques for photovoltaic (PV) systems. The performance of PV systems is highly dependent on the reliable and continuous operation of their components. Thus, identifying, and rectifying faults in PV systems is crucial to ensure their efficient and sustainable operation. Professional Profile 2023 - Present, Directed Research Student, KAUST, Thuwal, Saudi Arabia Education Profile Bachelor of Science in Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM)
<> Programming language (2) <> Python (2) <> quantum communication (2) <> remote sensing (2) <> renewable energy systems (2)

Tarek Mostafa

Research Interests ​Since my undergraduate studies, power systems and electronics was and still is the core of most of my researches and projects. Professional Profile 2018 – Present: Researcher, Computer, Electrical, Mathematical Sciences and Engineering (CEMSE) Division and ANPERC member at KAUST Thuwal, Saudi Arabia 2015 – 2018: PhD Student at Green Asia in Kyushu University, Japan. 2017: Internee at Power Electronics lab of the Univ. of Auckland, New Zealand 2013 –2015: Master Student at Green Asia in Kyushu University, Japan. 2014: Trainee at SunEdison Japan Company, Tokyo, Japan. 2013

Otavio Bertozzi

Research Interests Control systems and power systems engineering. Modeling, simulation, analysis and design of solutions applied to power system stability and control. Optimal and data-driven approaches to the integration of renewable energy resources. Education Profile M.Sc., Electrical and Computer Engineering, KAUST, Thuwal, Saudi Arabia, 2020 ​B.Sc., Electrical Engineering, Unesp, Bauru, Brazil, 2019 Professional Profile 2017-2018: xDSL Interoperability Testing Intern, Intel Corporation, Munich, Germany 2015: Summer Intern, Rohde & Schwarz Reference Laboratory (BME HVT), Budapest, Hungary
<> research (2)

5th International Conference on Smart Energy Systems and Technologies

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Otavio Jose Dezem Bertozzi Junior had an honor to attend the 5th International Conference on Smart Energy Systems and Technologies (SEST Conference 2022), held on 5-7 of September in Eindhoven. Otavio presented his very first first-author paper entitled “Optimal Gain-scheduled POD for Power Systems with Hybrid HVDC Links”, co-authored with Harold Chamorro, Omar Kotb, Eduardo Prieto Araujo, and his PhD advisor Shehab Ahmed. With a great technical program and top-notch keynote speakers, this was a fantastic opportunity for Otavio to expand his network and get to know researchers and their

IEEE Innovative Smart Grid Technologies - Middle East 2023

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Maha Alsabban had the pleasure to attend the IEEE Innovative Smart Grid Technologies - Middle East (ISGT-ME 2023) held on 12-15 March at Khalifa University, Abu Dhabi, UAE. The aim of the IEEE-ISGT-ME Conference is to provide an international forum for experts to promote, share, and discuss innovations and developments in the field of smart grid technologies and applications. Maha presented her first-author paper entitled “Analysis and Verification of Islanding Detection Techniques for Grid Integrated PV Systems”, as part of her Masters Thesis research work co-authored with Otavio Jose Dezem
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