Topics

<> machine learning (29)

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.

Yanda Meng

Assistant Professor, Bioengineering
Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Uncertainty Quantification with Conformal Prediction in Energy Data

-

B9 L2 R2325

The talk will introduce the fundamentals of conformal prediction (CP) - a flexible, model-agnostic uncertainty quantification framework for generating statistically valid uncertainty estimates in energy applications - and demonstrate how it can be layered on top of machine learning models to produce reliable prediction intervals.

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations
Visiting student at King Abdullah University of Science and Technology (KAUST).

Racha Zayni

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

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Nanbo Li

Postdoctoral Research Fellow, Computer Science
Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science
Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Jonathan Klein

Research Scientist, Computer Science
My fields of research interests include computational simulation, plant simulation and modeling, synthetic training data, machine learning architectures, none-line-of-sight imaging, and computational photography.

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

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

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

Summer Internships at SENTRY

1 min read ·
SENTRY lab hosted three Saudi Summer Internship Students from US universities to collaborate on our current research projects.

Li Zhou

Ms/PhD Student, CTF player, Interested in Reverse Engineering

Hadeel A. Ameen

Hadeel is an undergraduate student at Virginia Tech, USA. She is pursuing a computer science B.S. degree minoring in Human Computer Interaction (HCI). She joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a Saudi Summer Internship (SSI) student. Hadeel is interested in cybersecurity and machine learning which allowed to enhance both her knowledge and experience in the uses and applications of different fields of computer science.

Alya AlShaikh

Alya AlShaikh is currently an undergraduate student at Alfaisal University in Riyadh, KSA. She is pursuing a Software Engineering BSc specializing in Cyber Security and Machine Learning. Alya joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Konstantinou as an Accelerated Bachelor’s and Master's (ABM) student. Her research interests include applying machine learning techniques to enhance cyber defense strategies.
<> cybersecurity (26)

Muhammad Samiullah

Cyber Security, FPGA security, AI/ML security

Omar Rushdi

Visiting Student
Cyber Security, Phishing Detection, LLM

Jalal Saleem

Visiting Student
Cyber Security, LEO Satellite Constellation, Collision Avoidance

Ahmar Husain

Visiting Student
Cyber Security, Malware Analysis, LLM

Abidalrahman Obaidi

Visiting Student
Cybersecurity, Intrusion DetectionIDS, LLMs

Abdullah Alobaidi

Visiting Student
Cybersecurity, SOC Analysis, SIEM, LLM

Ahmad Didouh

Postdoctoral Research Fellow
Ali Hassan

Ali Hassan

Instructional Professor, Computer Science
Ali Hassan is an instructional professor in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at KAUST.

Three papers accepted to SmartGridComm 2021

1 min read ·
Three papers accepted to SmartGridComm 2021. 1) " CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks on Electric Power Grid" in collaboration with Yier Jin's group from University of Florida. 2) " Cyber-Physical Disaster Response of Power Supply Using Centralised-to-Distributed Framework" in collaboration with Fei Teng's group from Imperial College London. 3) " Attack Detection and Localization in Smart Grid with Image-based Deep Learning" in collaboration with Mostafa Mohammadpourfard's group from Istanbul Technical University.

Meet KAUST new student: Ioannis Zografopoulos

1 min read ·
Ioannis Zografopoulos is a Ph.D. student who joined KAUST this fall as a Ph.D. candidate and member of the Secure Next Generation Resilient Systems (SENTRY) Lab under the supervision of Professor Charalambos Konstantinou. Zografopoulos believes that KAUST's renowned faculty, global reputation and research infrastructure make the University the ideal environment for him to develop high-quality, impactful research.

KAUST SENTRY team wins 2021 Cybersecurity Games & Conference Embedded Security Challenge

1 min read ·
The SENTRY Lab team wins the 18th annual CSAW Cybersecurity Games & Conference’s (CSAW '21) Embedded Security Challenge (ESC).

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

Load-Altering Attacks Against Power Grids under Low-Inertia Conditions

1 min read ·
Load-Altering Attacks Against Power Grids under COVID-19 Low-Inertia Conditions: The COVID-19 pandemic has impacted our society by forcing shutdowns and shifting the way people interacted worldwide. In relation to the impacts on the electric grid, it created a significant decrease in energy demands across the globe. Recent studies have shown that the low demand conditions caused by COVID-19 lockdowns combined with large renewable generation have resulted in extremely low-inertia grid conditions. In our work, in collaboration with Subhash Lakshminarayana, University of Warwick, UK, and Juan

A Digital Twin for cybersecurity in IoT devices

1 min read ·
Security decoupling in IoT communications is enforced with a Digital Twin that guarantees internal traffic isolation and immediate action if any unauthorized communication attempt is detected

Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation

1 min read ·
Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation: Power grids are undergoing radical changes to meet energy demands, comply with environmental regulations, and improve the quality of service and system resilience. The inclusion of information and communication technologies and embedded devices enables the remote coordination, and control of microgrids (MG) and has transformed traditional power systems into cyber-physical systems. The security of MG-enabled power systems should not be overlooked given the plethora of cyberattacks against this pillar of critical

Simple hardware to defend microgrid attacks

1 min read ·
An inexpensive piece of hardware integrated with solar panel controllers can protect isolated power networks from cyberattacks.

An Effective Security Scheme for Attacks on Sample Value Messages in IEC 61850 Automated Substations

1 min read ·
The trend of transforming substations into smart automated facilities has led to their swift digitalization and automation. To facilitate data exchange among equipment within these substations, the IEC 61850 standard has become the predominant standard. However, this standardization has inadvertently made these substations more susceptible to cyberattacks, which is a significant concern given the confidential information that is transmitted. As a result, cybersecurity in substations is becoming an increasingly critical topic. IEC 62351 standard provides guidelines and considerations for

Distributed Energy Resources Cybersecurity Outlook: Vulnerabilities, Attacks, Impacts, and Mitigations

1 min read ·
The digitization and decentralization of the electric power grid represent crucial steps toward achieving both economic and environmental sustainability. In pursuit of this objective, distributed energy resources (DERs), such as rooftop solar panels, battery storage systems, and electric vehicles, are increasingly integrated into power systems. These DERs offer several advantages to power utilities by reducing operational costs and deferring investments for the expansion of the power system network while also affording users and aggregators greater control over their electricity generation and

Moaaz Hasan Fayome

Moaaz Hasan Fayumy is a senior undergraduate student at MIT, specializing in Electrical Engineering and Computer Science. In the capacity of a researcher with the Secure Next Generation Resilient Systems Lab (SENTRY) at KAUST, he has engaged in projects concerning the development of methods for solid-state battery 'fingerprinting', a technique designed to improve hardware security. His work is characterized by an interdisciplinary approach, merging principles of electrical engineering and computer science in the context of real-world challenges. Amid the complexity and technical difficulties

Michał Forystek

M.S. Student, Computer Science
Computer Science Master's student at the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou.

Majed Mazin Zamzami

Majed Zamzami is an undergraduate student at the University of Colorado, Boulder. He is studying computer science with a focus in cybersecurity. Majed joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student with interest in cybersecurity and optimization.

Ioannis (Yannis) Zografopoulos

Ioannis Zografopoulos received his Ph.D. at the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE) of King Abdullah University of Science and Technology (KAUST) in 2023. Prior, he graduated with a B.Eng. and M.Eng. degrees in Computer, Communications, and Network Engineering, and an M.Sc. degree in Electrical and Computer Engineering from the University of Thessaly, Volos, Greece, in 2014 and 2015, respectively. His research interests include cyber-physical systems security, with an emphasis on embedded systems for industrial, distributed energy, and power grid

Hadeel A. Ameen

Hadeel is an undergraduate student at Virginia Tech, USA. She is pursuing a computer science B.S. degree minoring in Human Computer Interaction (HCI). She joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a Saudi Summer Internship (SSI) student. Hadeel is interested in cybersecurity and machine learning which allowed to enhance both her knowledge and experience in the uses and applications of different fields of computer science.

Charalambos (Harrys) Konstantinou

Professor Konstantinou is an expert in critical infrastructure security and resilience, focusing on smart grid technology, renewable energy integration and real-time simulation.

Ali M. AlFarhan

Ali Alfarhan is an undergraduate student at the University of Wisconsin, Madison, USA. He is studying computer science with a minor in game design. Ali joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student, with interest in cybersecurity and optimization.

Alya AlShaikh

Alya AlShaikh is currently an undergraduate student at Alfaisal University in Riyadh, KSA. She is pursuing a Software Engineering BSc specializing in Cyber Security and Machine Learning. Alya joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Konstantinou as an Accelerated Bachelor’s and Master's (ABM) student. Her research interests include applying machine learning techniques to enhance cyber defense strategies.
<> deep learning (11)

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations
Visiting student at King Abdullah University of Science and Technology (KAUST).

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

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)
<> Computer Vision (10)

Nanbo Li

Postdoctoral Research Fellow, Computer Science
Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science
Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

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
Abdelrahman Eldesokey is a Postdoctoral Fellow at KAUST, working on Generative AI and Computer Vision. His research focuses on diffusion models, multimodal large language models, and vision foundation models, aiming to make generative systems more controllable, interpretable, and reliable.
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.
<> Signal processing (10)

Racha Zayni

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

Reem Arnaout

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

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).
<> artificial intelligence (9)

Yanda Meng

Assistant Professor, Bioengineering
Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.
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)
<> IoT (9)
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

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).

Secure Firmware Updates on Embedded Systems

1 min read ·
With the advancement of Internet-of-Things (IoT) technology, embedded devices have increasingly permeated our daily lives. Such devices allow physical objects to become integrable with information. As a result, embedded devices are increasingly interdependent and, in many cases, important to our safety. For example, critical domains such as Industrial Control Systems (ICS) are being integrated into Industrial IoT (IIoT) embedded systems in order to augment traditional control systems with wireless sensing services and provide better automation through multiple sensors and measurement points

A Digital Twin for cybersecurity in IoT devices

1 min read ·
Security decoupling in IoT communications is enforced with a Digital Twin that guarantees internal traffic isolation and immediate action if any unauthorized communication attempt is detected
<> Photonics and optoelectronics (7)
polina.morozova photo

Polina Morozova

M.S. Student, Photonics Laboratory
md alshahriar shakil photo

Md Al Shahriar Shakil

M.S. Student, Photonics Laboratory
Md Al Shahriar Shakil was awarded his Bachelor of Science degree in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET), where his undergraduate research focused on quantum computing and quantum photonics. After completing his bachelor’s degree, he worked as a Research Assistant at BUET, where he gained experience in spin-based quantum qubits for quantum computing. He is currently an MS/PhD student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where his research focuses on
Hanqi Li profile picture

Hanqi Li

M.S. Student, Photonics Laboratory
Hanqi Li received her Bachelor of Science degree in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2025. She was an intern student at the Institute of Semiconductors, Chinese Academy of Sciences, during 2024 and 2025, where she worked on topics related to optoelectronics and silicon photonics. Hanqi is currently an MS/PhD student in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, and a member of the Photonics Laboratory.
Mohammed Alotaibi

Mohammed Obidallah Alotaibi

Ph.D. Student, Photonics Laboratory
I am Mohammed Obidallah Alotaibi, joining the KAUST Photonics Lab. I hold an M.S. in Electrical Engineering from the University of Central Florida and a B.S. from Umm Al-Qura University. Previously, I served as an Instrument Engineer at Aramco and currently lecture at Taibah University. I am passionate about advancing photonic technologies in energy and sustainability applications, and I look forward to contributing to the lab’s research in optoelectronics and integrated photonic systems. Previous Work Experience: Instrument Engineer, Saudi Aramco (2010–2012) Teaching Assistant & Lecturer

Yan Wang

Ph.D. Student, Photonics Laboratory
M.S./Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Aug. 2024- present BEng. in Communication Engineering at University of Electronic Science and Technology of China (UESTC), Chengdu, China, Sept. 2019 - Jun. 2024​
Jiahoa Wei profile picture

Jiahao Wei

M.S. Student, Photonics Laboratory
Education Jan 2025 - present, M.S./Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Sep 2020 - Jun 2024, B.S. in Optoelectronic Information Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China.
Zinan Xiao profile picture

Zinan Xiao

Ph.D. Student, Photonics Laboratory
Education Aug 2024 - present, Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Oct 2020 - Oct 2021, M.S. in Optics and photonics at Imperial College London, London, UK. Sep 2016 - Jun 2020, B.S. in Optoelectronic information engineering at Chongqing University, Chongqing, China.
<> uncertainty quantification (7)

Abdul-Lateef Haji-Ali

Shyam Mohan Subbiah Pillai

Nabila Bounceur

My work focuses on the modeling of complex systems from the Probabilistic Sensitivity Analysis (PSA) and Uncertainty Quantification (UQ) perspective. I develop methodologies to efficiently characterize input-output relationships in computationally expensive simulators, enabling both qualitative understanding (which factors matter most?) and quantitative assessment (how much does each factor contribute to output uncertainty?).

Abderrahmene Ben Romdhane

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group

Uncertainty Quantification with Conformal Prediction in Energy Data

-

B9 L2 R2325

The talk will introduce the fundamentals of conformal prediction (CP) - a flexible, model-agnostic uncertainty quantification framework for generating statistically valid uncertainty estimates in energy applications - and demonstrate how it can be layered on top of machine learning models to produce reliable prediction intervals.

Amal Alghamdi

<> embedded systems (6)

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
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Meet KAUST new student: Ioannis Zografopoulos

1 min read ·
Ioannis Zografopoulos is a Ph.D. student who joined KAUST this fall as a Ph.D. candidate and member of the Secure Next Generation Resilient Systems (SENTRY) Lab under the supervision of Professor Charalambos Konstantinou. Zografopoulos believes that KAUST's renowned faculty, global reputation and research infrastructure make the University the ideal environment for him to develop high-quality, impactful research.

Secure Firmware Updates on Embedded Systems

1 min read ·
With the advancement of Internet-of-Things (IoT) technology, embedded devices have increasingly permeated our daily lives. Such devices allow physical objects to become integrable with information. As a result, embedded devices are increasingly interdependent and, in many cases, important to our safety. For example, critical domains such as Industrial Control Systems (ICS) are being integrated into Industrial IoT (IIoT) embedded systems in order to augment traditional control systems with wireless sensing services and provide better automation through multiple sensors and measurement points

Ioannis (Yannis) Zografopoulos

Ioannis Zografopoulos received his Ph.D. at the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE) of King Abdullah University of Science and Technology (KAUST) in 2023. Prior, he graduated with a B.Eng. and M.Eng. degrees in Computer, Communications, and Network Engineering, and an M.Sc. degree in Electrical and Computer Engineering from the University of Thessaly, Volos, Greece, in 2014 and 2015, respectively. His research interests include cyber-physical systems security, with an emphasis on embedded systems for industrial, distributed energy, and power grid
<> numerical analysis (6) <> power systems (6)

Michał Drewniak

Michał is pursuing a collaborative Ph.D. carried out jointly by the King Abdullah University of Science and Technology (KAUST) and AGH University of Krakow (AGH). At KAUST, he is a Ph.D. student in Electrical and Computer Engineering working in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou, while at AGH University he conducts his doctoral studies under the supervision of Professor Marcin Baszyński. Michał obtained both his Bachelor of Engineering and Master of Engineering degrees in Electrical Engineering from AGH

Summer Internships at SENTRY

1 min read ·
SENTRY lab hosted three Saudi Summer Internship Students from US universities to collaborate on our current research projects.

Yang Gao

Yang is an ECE Ph.D. student in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou at King Abdullah University of Science and Technology (KAUST). Education Profile M.Sc. in Electrical Power Systems Engineering, The University of Manchester, UK B.Sc. in Electrical Engineering and Automation, Shandong University of Science and Technology, China

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.

Charalambos (Harrys) Konstantinou

Professor Konstantinou is an expert in critical infrastructure security and resilience, focusing on smart grid technology, renewable energy integration and real-time simulation.

Ahmad Bin Afzal

Afzal received his B.Tech. degree in Electrical Engineering from Zakir Husain College of Engineering and Technology in 2023. He is an ECE Master's student in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou at King Abdullah University of Science and Technology (KAUST). Education Profile Bachelor of Technology in Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, India.
<> AI (5) <> Cyber Security (5) <> electrical engineering (5)

Raef Murtadha Almuallem

Raef Almuallem is an undergraduate student at the University of Illinois at Urbana-Champaign, USA. He is studying electrical engineering. Raef joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student.

Moaaz Hasan Fayome

Moaaz Hasan Fayumy is a senior undergraduate student at MIT, specializing in Electrical Engineering and Computer Science. In the capacity of a researcher with the Secure Next Generation Resilient Systems Lab (SENTRY) at KAUST, he has engaged in projects concerning the development of methods for solid-state battery 'fingerprinting', a technique designed to improve hardware security. His work is characterized by an interdisciplinary approach, merging principles of electrical engineering and computer science in the context of real-world challenges. Amid the complexity and technical difficulties

Gabriel Eduardo Mejia Ruiz

Gabriel E. Mejia Ruiz received a Ph.D. (Cum Laude) degree in Electrical Engineering from the National Autonomous University of Mexico (UNAM) in 2023. He received the M.Eng. degree (outstanding distinction) with an emphasis in electrical and electronic systems from the University of Antioquia, Colombia, in 2015. He received a B.S. degree in Control Engineering from Universidad Nacional de Colombia in 2008. His background includes working as a lecturer in engineering areas. Currently, he is a researcher at the Secure Next Generation Resilient Systems Lab (SENTRY) of King Abdullah University of

Ahmad Bin Afzal

Afzal received his B.Tech. degree in Electrical Engineering from Zakir Husain College of Engineering and Technology in 2023. He is an ECE Master's student in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou at King Abdullah University of Science and Technology (KAUST). Education Profile Bachelor of Technology in Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, India.

Abdullah Raafat Alfaraj

Abdullah Alfaraj is an undergraduate student at the University of Illinois Urbana-Champaign. He is pursuing a degree in electrical engineering, focusing on semiconductors and control systems. Abdullah joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student, appealed by circuit design and analysis.
<> ISAC (5)
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ece-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
<> Python (5) <> resilience (5)

The 2025 Iberian Blackout: Anatomy of a Grid Collapse

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B9 L2 R2322

This talk provides a data-informed timeline of the April 28 Iberian blackout, examining how system conditions and possible instabilities may have shaped the cascade of events.

Three papers accepted to SmartGridComm 2021

1 min read ·
Three papers accepted to SmartGridComm 2021. 1) " CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks on Electric Power Grid" in collaboration with Yier Jin's group from University of Florida. 2) " Cyber-Physical Disaster Response of Power Supply Using Centralised-to-Distributed Framework" in collaboration with Fei Teng's group from Imperial College London. 3) " Attack Detection and Localization in Smart Grid with Image-based Deep Learning" in collaboration with Mostafa Mohammadpourfard's group from Istanbul Technical University.

Prior Information Makes Power Grids More Resilient

1 min read ·
The power grid infrastructure is a large-scale, heterogeneous, and complex cyber-physical system which forms the lifeline of modern societies. The trend of tight coupling of physics, communication and computation in cyber-physical energy systems (CPES) is evident by the inclusion of numerous measurement sensors. This contributes to enhancing the monitoring and control functionalities of CPES. At the same time, the occurrence of adverse effects constitutes a vital dimension of CPES operation. Increasing the resilience of critical energy systems of key importance for safeguarding the national

KAUST SENTRY team wins 2021 Cybersecurity Games & Conference Embedded Security Challenge

1 min read ·
The SENTRY Lab team wins the 18th annual CSAW Cybersecurity Games & Conference’s (CSAW '21) Embedded Security Challenge (ESC).

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
<> cyber-physical energy systems (4)

Load-Altering Attacks Against Power Grids under Low-Inertia Conditions

1 min read ·
Load-Altering Attacks Against Power Grids under COVID-19 Low-Inertia Conditions: The COVID-19 pandemic has impacted our society by forcing shutdowns and shifting the way people interacted worldwide. In relation to the impacts on the electric grid, it created a significant decrease in energy demands across the globe. Recent studies have shown that the low demand conditions caused by COVID-19 lockdowns combined with large renewable generation have resulted in extremely low-inertia grid conditions. In our work, in collaboration with Subhash Lakshminarayana, University of Warwick, UK, and Juan

Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation

1 min read ·
Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation: Power grids are undergoing radical changes to meet energy demands, comply with environmental regulations, and improve the quality of service and system resilience. The inclusion of information and communication technologies and embedded devices enables the remote coordination, and control of microgrids (MG) and has transformed traditional power systems into cyber-physical systems. The security of MG-enabled power systems should not be overlooked given the plethora of cyberattacks against this pillar of critical

An Effective Security Scheme for Attacks on Sample Value Messages in IEC 61850 Automated Substations

1 min read ·
The trend of transforming substations into smart automated facilities has led to their swift digitalization and automation. To facilitate data exchange among equipment within these substations, the IEC 61850 standard has become the predominant standard. However, this standardization has inadvertently made these substations more susceptible to cyberattacks, which is a significant concern given the confidential information that is transmitted. As a result, cybersecurity in substations is becoming an increasingly critical topic. IEC 62351 standard provides guidelines and considerations for

Distributed Energy Resources Cybersecurity Outlook: Vulnerabilities, Attacks, Impacts, and Mitigations

1 min read ·
The digitization and decentralization of the electric power grid represent crucial steps toward achieving both economic and environmental sustainability. In pursuit of this objective, distributed energy resources (DERs), such as rooftop solar panels, battery storage systems, and electric vehicles, are increasingly integrated into power systems. These DERs offer several advantages to power utilities by reducing operational costs and deferring investments for the expansion of the power system network while also affording users and aggregators greater control over their electricity generation and
<> integrated photonics (4)
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

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
<> Computer science (3)

Yasser AlThuwaini

Yasser AlThuwaini is an undergraduate student at The George Washington University, USA. He is pursuing a Mechanical Engineering B.S. with a focus on Robotics. Yasser joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student. Yasser’s double minors in Electrical Engineering and Biomedical Engineering, along with his interest in Computer Science, allowed him to take a multidisciplinary approach in his work.

Hadeel A. Ameen

Hadeel is an undergraduate student at Virginia Tech, USA. She is pursuing a computer science B.S. degree minoring in Human Computer Interaction (HCI). She joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a Saudi Summer Internship (SSI) student. Hadeel is interested in cybersecurity and machine learning which allowed to enhance both her knowledge and experience in the uses and applications of different fields of computer science.

Ali M. AlFarhan

Ali Alfarhan is an undergraduate student at the University of Wisconsin, Madison, USA. He is studying computer science with a minor in game design. Ali joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student, with interest in cybersecurity and optimization.
<> control systems (3)

Michał Drewniak

Michał is pursuing a collaborative Ph.D. carried out jointly by the King Abdullah University of Science and Technology (KAUST) and AGH University of Krakow (AGH). At KAUST, he is a Ph.D. student in Electrical and Computer Engineering working in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou, while at AGH University he conducts his doctoral studies under the supervision of Professor Marcin Baszyński. Michał obtained both his Bachelor of Engineering and Master of Engineering degrees in Electrical Engineering from AGH

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.

Abdullah Raafat Alfaraj

Abdullah Alfaraj is an undergraduate student at the University of Illinois Urbana-Champaign. He is pursuing a degree in electrical engineering, focusing on semiconductors and control systems. Abdullah joined the Secure Next Generation Resilient Systems Lab (SENTRY) led by Professor Charalambos (Harrys) Konstantinou as a KAUST Gifted Student Program (KGSP) student, appealed by circuit design and analysis.
<> Cyber attacks and defenses (3)

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

Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation

1 min read ·
Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation: Power grids are undergoing radical changes to meet energy demands, comply with environmental regulations, and improve the quality of service and system resilience. The inclusion of information and communication technologies and embedded devices enables the remote coordination, and control of microgrids (MG) and has transformed traditional power systems into cyber-physical systems. The security of MG-enabled power systems should not be overlooked given the plethora of cyberattacks against this pillar of critical

Distributed Energy Resources Cybersecurity Outlook: Vulnerabilities, Attacks, Impacts, and Mitigations

1 min read ·
The digitization and decentralization of the electric power grid represent crucial steps toward achieving both economic and environmental sustainability. In pursuit of this objective, distributed energy resources (DERs), such as rooftop solar panels, battery storage systems, and electric vehicles, are increasingly integrated into power systems. These DERs offer several advantages to power utilities by reducing operational costs and deferring investments for the expansion of the power system network while also affording users and aggregators greater control over their electricity generation and
<> cyber-physical systems (3)

Meet KAUST new student: Ioannis Zografopoulos

1 min read ·
Ioannis Zografopoulos is a Ph.D. student who joined KAUST this fall as a Ph.D. candidate and member of the Secure Next Generation Resilient Systems (SENTRY) Lab under the supervision of Professor Charalambos Konstantinou. Zografopoulos believes that KAUST's renowned faculty, global reputation and research infrastructure make the University the ideal environment for him to develop high-quality, impactful research.

Ioannis (Yannis) Zografopoulos

Ioannis Zografopoulos received his Ph.D. at the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE) of King Abdullah University of Science and Technology (KAUST) in 2023. Prior, he graduated with a B.Eng. and M.Eng. degrees in Computer, Communications, and Network Engineering, and an M.Sc. degree in Electrical and Computer Engineering from the University of Thessaly, Volos, Greece, in 2014 and 2015, respectively. His research interests include cyber-physical systems security, with an emphasis on embedded systems for industrial, distributed energy, and power grid

Charalambos (Harrys) Konstantinou

Professor Konstantinou is an expert in critical infrastructure security and resilience, focusing on smart grid technology, renewable energy integration and real-time simulation.
<> data analysis (3) <> 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.
<> hardware security (3)

Secure Firmware Updates on Embedded Systems

1 min read ·
With the advancement of Internet-of-Things (IoT) technology, embedded devices have increasingly permeated our daily lives. Such devices allow physical objects to become integrable with information. As a result, embedded devices are increasingly interdependent and, in many cases, important to our safety. For example, critical domains such as Industrial Control Systems (ICS) are being integrated into Industrial IoT (IIoT) embedded systems in order to augment traditional control systems with wireless sensing services and provide better automation through multiple sensors and measurement points

Hardware-based Malware Detectors Actually Work: Transition to Practice After a Decade of Research

1 min read ·
HPC-based Malware Detectors Actually Work: Transition to Practice After a Decade of Research: Our recent work has come out as the result of our research on HPC (hardware performance counters) security in the last decade. During this time, HPC-based malware detection transitioned from academic research through government transition to industry adoption. In this paper, we outline this evolution by presenting use cases on critical power grid infrastructure protection as part of DARPA RADICS program, as well as describing how HPCs are utilized within Intel’s HPC-based Threat Detection Technology

Simple hardware to defend microgrid attacks

1 min read ·
An inexpensive piece of hardware integrated with solar panel controllers can protect isolated power networks from cyberattacks.
<> Large Language Models (3) <> LiDAR (3) <> LLM (3) <> MATLAB (3) <> Nonlinear Optics (3) <> optimization (3) <> PDEs (3) <> Reinforcement Learning (3) <> remote sensing (3) <> resiliency (3) <> wireless communication (3) <> Wireless Communications (3) <> 6G (2) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> biomedical devices (2) <> bioscience (2) <> blockchain (2) <> communication (2) <> communication networks (2) <> Computational Neuroscience (2) <> Deep generative models (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> energy flexibility (2) <> FPGA (2) <> Free-space optical communications (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> industrial control systems (2) <> intrusion detection (2) <> Load-altering attacks (2) <> Localization (2) <> machine learning for wireless communication (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> numerical methods (2) <> optical computing (2) <> photonic integrated circuits (2) <> power electronics (2) <> power grid (2) <> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> robotics (2) <> semiconductor (2) <> smart grids (2) <> statistics (2) <> stochastic processes (2) <> ultrafast fiber lasers (2) <> 2D materials (1) <> 3D reconstruction (1) <> 5G and beyond (1) <> 5G networks (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> Active Distribution Network (1) <> adaptive control (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> aerospace design (1) <> Affective AI (1) <> agricultural productivity (1) <> agricultural robotics (1)