Topics

<> machine learning (14)

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).

Ebrahim Al-Safadi

Intern, Information Science Lab 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).

Advanced Breach and Attack Simulation using ML

Cybersecurity is becoming a need more than ever. Organizations need to protect their digital assets and are required to earn certifications to prove the compliance to the regulations and rules. For this, these assets must be assessed to ensure the target security posture and to get certified or pass an audit on yearly basis. This is a daunting and costly task as it often requires a third-party tester that tries to penetrate the system, under agreement. Breach and Attack Simulation is a new method that allows to do this penetration testing in-house, using some automation tools. Some of these

FADO: A Federated Learning Attack and Defense Orchestrator

-

B5 L5 R5209

Federated Learning (FL) is a distributed machine learning approach that allows multiple parties to train a model collaboratively without sharing sensitive data.

Noor Hussein

Noor Hussein is a dedicated learner in Machine Learning and Artificial Intelligence. She earned her undergraduate degree in Applied Mathematics and Statistics from Khalifa University (KU) in Abu Dhabi, UAE, with the highest honors. In the fall of 2022, Hussein embarked on her academic journey by joining the Master's program in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE. She is expected to graduate from MBZUAI in the summer of 2024. During the summer of 2023, Hussein got the opportunity to join as a Visiting student at King Abdullah
<> cybersecurity (9)

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the

Advanced Breach and Attack Simulation using ML

Cybersecurity is becoming a need more than ever. Organizations need to protect their digital assets and are required to earn certifications to prove the compliance to the regulations and rules. For this, these assets must be assessed to ensure the target security posture and to get certified or pass an audit on yearly basis. This is a daunting and costly task as it often requires a third-party tester that tries to penetrate the system, under agreement. Breach and Attack Simulation is a new method that allows to do this penetration testing in-house, using some automation tools. Some of these

Breaking the Vehicle Over-The-Air Update System

A modern vehicle is composed of around 100 Electronic Control Unit (ECU) connected via several types of networks. An ECU is an embedded device, similar to a RaspberryPI, running an operating system, e.g., Linux-based or real-time OS, on top of which different software and firmware may run, depending on the application. Due to the imperfection of humans, software can have faults and vulnerabilities, which can lead to catastrophic failures that threatens human lives. This makes the manufacturers liable to such failures and thus often caused millions of vehicles recalls for repair. A smart

Xiaojie Zhu

Xiaojie Zhu is a staff research scientist at KAUST. Prior to that, he was an assistant professor of cybersecurity in the Department of Computer Science and Information Technology, College of Engineering, Abu Dhabi University. He received his Ph.D. from the Department of Computer Science, University of Oslo, Norway. Xiaojie's research interests are data security and privacy, software security, decentralized trust and infrastructure, and applied cryptography. He has published in prestigious journals such as IEEE TDSC, IEEE TPDS, JNCA, and JOS. One of his articles was included in the 21st annual

Noor Hussein

Noor Hussein is a dedicated learner in Machine Learning and Artificial Intelligence. She earned her undergraduate degree in Applied Mathematics and Statistics from Khalifa University (KU) in Abu Dhabi, UAE, with the highest honors. In the fall of 2022, Hussein embarked on her academic journey by joining the Master's program in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE. She is expected to graduate from MBZUAI in the summer of 2024. During the summer of 2023, Hussein got the opportunity to join as a Visiting student at King Abdullah

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Resilience Research Group
Working towards building safe, secure and resilient systems.

Erick Rodrigues E Silva

Education Erick pursued his education in Control and Automation Engineering at CEFET-RJ, where he was awarded a Motion of Praise for his victory in a national robotics championship. He authored a thesis titled "Platform for Simulation and Generation of Synthetic Data for Autonomous Inspections by UAVS in Solar Plants." Experience During the thesis composition, Erick made a significant contribution to the paper "Virtual Reality Simulation of Autonomous Solar Plant Inspections with Unmanned Aerial Systems." This paper was published at ICUAS, a conference held in Dubrovnik, Croatia in 2021. After

Ali Shoker

Senior Research Scientist, Computer Science
I am a Senior Staff Scientist, working on Cyber Security and Resilience. My research is focused on studying and using Byzantine and Intrusion Fault tolerance, Hardware (FPGA), Artificial Intelligence, and Blockchain, for critical applications like Autonomous Vehicles, Small Satellite constellations, SOC, and Fintech. I love and plan to build practical things that manifest in the society.
<> deep learning (7)

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.

Ebrahim Al-Safadi

Intern, Information Science Lab at King Abdullah University of Science and Technology (KAUST),

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)

Advanced Breach and Attack Simulation using ML

Cybersecurity is becoming a need more than ever. Organizations need to protect their digital assets and are required to earn certifications to prove the compliance to the regulations and rules. For this, these assets must be assessed to ensure the target security posture and to get certified or pass an audit on yearly basis. This is a daunting and costly task as it often requires a third-party tester that tries to penetrate the system, under agreement. Breach and Attack Simulation is a new method that allows to do this penetration testing in-house, using some automation tools. Some of these
<> artificial intelligence (5)

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)

Noor Hussein

Noor Hussein is a dedicated learner in Machine Learning and Artificial Intelligence. She earned her undergraduate degree in Applied Mathematics and Statistics from Khalifa University (KU) in Abu Dhabi, UAE, with the highest honors. In the fall of 2022, Hussein embarked on her academic journey by joining the Master's program in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE. She is expected to graduate from MBZUAI in the summer of 2024. During the summer of 2023, Hussein got the opportunity to join as a Visiting student at King Abdullah
<> Computer Vision (4) <> distributed systems (4)

Useful Bitcoin Mining with a Matrix-based Puzzle

Cryptocurrency and blockchain technologies are increasingly gaining adoption since the introduction of Bitcoin, being distributed, authority-free, and secure. Proof of Work (PoW) is at the heart of blockchain’s security, asset generation, and maintenance. In most cryptocurrencies, and mainly Bitcoin, the “work” a miner must do is to solve a cryptographic puzzle: to find a random nonce that once (cryptographically) SHA-256 hashed with a perspective block header, returns a 32 Bytes number having a leading pre-defined number of zeros (called difficulty). This puzzle represents the PoW, and lives

Breaking the Vehicle Over-The-Air Update System

A modern vehicle is composed of around 100 Electronic Control Unit (ECU) connected via several types of networks. An ECU is an embedded device, similar to a RaspberryPI, running an operating system, e.g., Linux-based or real-time OS, on top of which different software and firmware may run, depending on the application. Due to the imperfection of humans, software can have faults and vulnerabilities, which can lead to catastrophic failures that threatens human lives. This makes the manufacturers liable to such failures and thus often caused millions of vehicles recalls for repair. A smart

An Overview of Systems Research at TU Munich

-

B4 L5 R5209

In this talk, Professor Pramod Bhatotia will give an overview of systems research at TU Munich. He will cover his teaching and ongoing research projects. And will conclude the talk with a brief overview of his ERC project.

Ali Shoker

Senior Research Scientist, Computer Science
I am a Senior Staff Scientist, working on Cyber Security and Resilience. My research is focused on studying and using Byzantine and Intrusion Fault tolerance, Hardware (FPGA), Artificial Intelligence, and Blockchain, for critical applications like Autonomous Vehicles, Small Satellite constellations, SOC, and Fintech. I love and plan to build practical things that manifest in the society.
<> Signal processing (4) <> AI (3) <> autonomous vehicles (3)

Breaking the Vehicle Over-The-Air Update System

A modern vehicle is composed of around 100 Electronic Control Unit (ECU) connected via several types of networks. An ECU is an embedded device, similar to a RaspberryPI, running an operating system, e.g., Linux-based or real-time OS, on top of which different software and firmware may run, depending on the application. Due to the imperfection of humans, software can have faults and vulnerabilities, which can lead to catastrophic failures that threatens human lives. This makes the manufacturers liable to such failures and thus often caused millions of vehicles recalls for repair. A smart

Rehana Yasmin

Rehana Yasmin is a Research Scientist at the Resilient Computing and Cybersecurity Center (RC3), KAUST, since August 2023. Before joining KAUST, she had been working as a researcher in the area of Automotive Cybersecurity and Resilience at Huawei International. Prior to above, she served as a lecturer at University of Azad Jammu and Kashmir, and later as an assistant professor at Mirpur University of Science and Technology, in Pakistan. She also obtained a short experience of postdoc from University of Padova, Italy. Research Interests Yasmin's research interests lie in security and privacy

Erick Rodrigues E Silva

Education Erick pursued his education in Control and Automation Engineering at CEFET-RJ, where he was awarded a Motion of Praise for his victory in a national robotics championship. He authored a thesis titled "Platform for Simulation and Generation of Synthetic Data for Autonomous Inspections by UAVS in Solar Plants." Experience During the thesis composition, Erick made a significant contribution to the paper "Virtual Reality Simulation of Autonomous Solar Plant Inspections with Unmanned Aerial Systems." This paper was published at ICUAS, a conference held in Dubrovnik, Croatia in 2021. After
<> intrusion detection (3)
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Vehicle Intrusion Resilience Systems in Action

A modern vehicle is composed of around 100 Electronic Control Unit (ECU) connected via several types of networks. An ECU is an embedded device, similar to a RaspberryPI, running an operating system, e.g., Linux-based or real-time OS, on top of which different software and firmware may run, depending on the application. Due to the imperfection of humans, software can have faults and intrusions, which can lead to catastrophic failures that threatens human lives. A Fault and Intrusion Resilient System (FIRS) is a vehicle middleware that can mask the effect of a failure or intrusion. Contrary to

CybeResil Research Opportunities

Broad Research Topics Robust and Adaptive Fault and Intrusion Tolerance; Ultra-Reliable Micro Trusted Execution Environments; Privacy and Integrity-preserving Data Processing; Next-generation Threat and Intrusion Detection / Prevention Systems; High-confidence Vertical Software Verification. Focused PhD-level Research Opportunities Fault and Intrusion Resilience Systems for Modern Vehicles Modern software-defined vehicles are prone to software faults and intrusions. A modern vehicle is composed of up to hundred commuting units, called Electronic Control Units (ECUs), connected via different
<> intrusion tolerance (3)

CybeResil Research Opportunities

Broad Research Topics Robust and Adaptive Fault and Intrusion Tolerance; Ultra-Reliable Micro Trusted Execution Environments; Privacy and Integrity-preserving Data Processing; Next-generation Threat and Intrusion Detection / Prevention Systems; High-confidence Vertical Software Verification. Focused PhD-level Research Opportunities Fault and Intrusion Resilience Systems for Modern Vehicles Modern software-defined vehicles are prone to software faults and intrusions. A modern vehicle is composed of up to hundred commuting units, called Electronic Control Units (ECUs), connected via different

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Resilience Research Group
Working towards building safe, secure and resilient systems.

Ali Shoker

Senior Research Scientist, Computer Science
I am a Senior Staff Scientist, working on Cyber Security and Resilience. My research is focused on studying and using Byzantine and Intrusion Fault tolerance, Hardware (FPGA), Artificial Intelligence, and Blockchain, for critical applications like Autonomous Vehicles, Small Satellite constellations, SOC, and Fintech. I love and plan to build practical things that manifest in the society.
<> IoT (3) <> MATLAB (3) <> operating systems (3)

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the

An Overview of Systems Research at TU Munich

-

B4 L5 R5209

In this talk, Professor Pramod Bhatotia will give an overview of systems research at TU Munich. He will cover his teaching and ongoing research projects. And will conclude the talk with a brief overview of his ERC project.
<> Python (3)

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the
<> resilience (3)

Rehana Yasmin

Rehana Yasmin is a Research Scientist at the Resilient Computing and Cybersecurity Center (RC3), KAUST, since August 2023. Before joining KAUST, she had been working as a researcher in the area of Automotive Cybersecurity and Resilience at Huawei International. Prior to above, she served as a lecturer at University of Azad Jammu and Kashmir, and later as an assistant professor at Mirpur University of Science and Technology, in Pakistan. She also obtained a short experience of postdoc from University of Padova, Italy. Research Interests Yasmin's research interests lie in security and privacy

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Resilience Research Group
Working towards building safe, secure and resilient systems.

Ali Shoker

Senior Research Scientist, Computer Science
I am a Senior Staff Scientist, working on Cyber Security and Resilience. My research is focused on studying and using Byzantine and Intrusion Fault tolerance, Hardware (FPGA), Artificial Intelligence, and Blockchain, for critical applications like Autonomous Vehicles, Small Satellite constellations, SOC, and Fintech. I love and plan to build practical things that manifest in the society.
<> AI4Science (2) <> blockchain (2) <> C++ (2)

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the
<> cyber-physical systems (2) <> embedded systems (2) <> Fault-Tolerant Computing (2) <> Federated learning (2) <> FPGA (2) <> healthcare (2) <> Linux (2)

Security analysis of Docker-based containerized environments

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various faults, such as container escape. Those faults might be manifested as host OS bugs, container runtime vulnerabilities, and/or poor container deployment choices and profile configuration. The latter aspect is particularly critical as

Monitoring containerized environments for security state error detection

Operating System (OS) virtualization, also known as container-based virtualization, has gained momentum over the past few years thanks to its lightweight nature and support for agility. However, its compelling features come at the price of a reduced isolation level compared to the traditional host-based virtualization techniques, exposing workloads to various threats, such as container escape. In those threats, compromised or rogue containers might exploit existing vulnerabilities or poor container deployment choices to successfully inject security state errors (e.g., breaking out of the
<> Localization (2) <> mathematics (2) <> Network Design (2) <> Programming language (2) <> resilient computing (2) <> 5G networks (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> AI for healthcare (1) <> applied mathematics (1) <> autonomous driving (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> bioscience (1) <> biotechnology (1) <> bitcoin (1) <> BLE communication (1) <> byzantine fault tolerance (1) <> CAN (1) <> Cellular Networks (1) <> cloud- and fog-radio access networks (1) <> communication (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational methods (1) <> Computer architecture (1) <> computer networks (1) <> connected vehicles (1) <> containers (1) <> Continual Learning (1) <> Cooperative networks (1) <> cross-layer optimization (1) <> cryptocurrency (1) <> data analysis (1) <> Data Analyst (1) <> Data Privacy (1) <> data security (1) <> Deep generative models (1) <> development (1) <> Digital Communications (1) <> Digital signal processing (1) <> docker (1) <> Dynamical Systems (1) <> edge computing (1) <> Electron Transport (1) <> energy efficiency (1) <> fault tolerance (1) <> field-programmable gate array (1) <> GaN (1) <> Generative Adversarial Networks (1) <> Generative AI and LLMs (1) <> GSM (1) <> ICT (1) <> intrusion prevention (1) <> intrusion resilience (1) <> Liquid Crystals (1) <> living systems (1) <> Machine Learning Systems (1) <> Mathematical modeling (1) <> Medical imaging (1) <> microelectronics (1) <> Microgrids (1) <> modeling (1) <> Multi-carrier Systems (1) <> multi-modal transformer models (1) <> Multimodal learning (1) <> neural network (1) <> Neural Networks (1) <> non-linear partial differential equations (1) <> numerical analysis (1) <> Optical communications (1) <> optical fiber (1)