Topics

<> machine learning (15)

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

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> Cyber Security (13)

Tao Ni

Assistant Professor, Computer Science
Professor Tao Ni (Tony) is focused on building secure, reliable and energy-efficient cyber-physical systems to enable trustworthy computing and confidential sensing in critical infrastructure. His approach combines hardware-software co-design with advanced AI technologies.

LLM Injection Cyber Resilient Assistants

LLM injection-resilient cyber assistants using Constitutional AI guardrails, Adaptive Constitutional AI guardrails, DPO, and Unlearning.

SIGSaR: Signal Security and Resilience

Signal Intelligence for detection, classification, identification, and Adaptive Response

Seamless Application of Post-Quantum Cryptography

Quantum Computing is a promising computing paradigm that leverages quantum physics to overcome the trend declination of Moore's Law. While this is a substantial revolutionary boost to computing systems, it is rather disruptive to digital security that is genuinely built on cryptographic primitives like RSA, ECC, and AES. To give a feel of this boost, it would take a quantum computer only few hours to break a cryptographic primitive, whereas a decent supercomputer may need thousands of years. Although production-grade quantum computers may be a decade away, the assumption that their threat

Cyber Resilient Decentralized Agentic Security Operation Center (SOC)

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools

LLM-based Assistant for L-x Security Operation Center (SOC) Analyst

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools

Advanced Dynamic and Static Malware Analysis using LLMs

The increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample. While static methods such as disassembly and code review remain crucial, many malware samples use packers and obfuscation techniques that necessitate memory captures and dynamic analysis [Dynamic, 2012]. Similarly, hooking system and API calls at lower levels provides a more comprehensive view of a program’s true behavior. It enables analysts to capture transient execution stages in a multi-layered malware

Cyber Secure and Resilient System-on-Chip

Cyber Secure and Resilient System-on-Chip using FPGA Dynamic Configuration, Post-Quantum Cryptography, AI/ML/LLM Accelerators

Cyber Security and Resilience of LEO Satellite Constellations

Cyber Security and Resilience of LEO Satellite Constellations through Building PKI for inter-constellations, SW/HW updates, Collision and Debris Avoidance.

Mehdi Zakroum

Ahmar Husain

Hassan Hadi

Hassan Hadi

Research Specialist on Cyber Security

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology
<> cybersecurity (11)

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.

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Security and Resilience Technology
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

Research Associate Professor, Computer Science
Ali Shoker, a Research Associate Professor at KAUST leading the Cyber Security and Resilience Technology lab. His research is focused on Applied Cyber Security and Resilience for real-world applications including SOC (SIEM, SOAR, XDR, IDS, IPS), Trustworthy AI, satellite systems, autonomous vehicles, fintech, Blockchain, RF Resilience, etc.
<> Cyber Resilience (9)

LLM Injection Cyber Resilient Assistants

LLM injection-resilient cyber assistants using Constitutional AI guardrails, Adaptive Constitutional AI guardrails, DPO, and Unlearning.

SIGSaR: Signal Security and Resilience

Signal Intelligence for detection, classification, identification, and Adaptive Response

Seamless Application of Post-Quantum Cryptography

Quantum Computing is a promising computing paradigm that leverages quantum physics to overcome the trend declination of Moore's Law. While this is a substantial revolutionary boost to computing systems, it is rather disruptive to digital security that is genuinely built on cryptographic primitives like RSA, ECC, and AES. To give a feel of this boost, it would take a quantum computer only few hours to break a cryptographic primitive, whereas a decent supercomputer may need thousands of years. Although production-grade quantum computers may be a decade away, the assumption that their threat

Cyber Resilient Decentralized Agentic Security Operation Center (SOC)

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools

LLM-based Assistant for L-x Security Operation Center (SOC) Analyst

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools

Cyber Secure and Resilient System-on-Chip

Cyber Secure and Resilient System-on-Chip using FPGA Dynamic Configuration, Post-Quantum Cryptography, AI/ML/LLM Accelerators

Trustworthy Autonomous Vehicles Architecture

Savvy: Trustworthy Autonomous Vehicle Architecture Through Time-aware Adaptive AI Degradation

Cyber Security and Resilience of LEO Satellite Constellations

Cyber Security and Resilience of LEO Satellite Constellations through Building PKI for inter-constellations, SW/HW updates, Collision and Debris Avoidance.

Luis A. Vazquez Limon

Luis Vazquez is a master student focused on security on autonomous robot's sensors. He has a bachelor's degree on Robotics and Telecommunications and experience in Autonomous vehicles and Robotics Vision.
<> 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.
<> 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)
<> IoT (8)
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).

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
<> artificial intelligence (7)
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)
<> 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
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.
<> AI (5)

LLM Injection Cyber Resilient Assistants

LLM injection-resilient cyber assistants using Constitutional AI guardrails, Adaptive Constitutional AI guardrails, DPO, and Unlearning.

Advanced Dynamic and Static Malware Analysis using LLMs

The increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample. While static methods such as disassembly and code review remain crucial, many malware samples use packers and obfuscation techniques that necessitate memory captures and dynamic analysis [Dynamic, 2012]. Similarly, hooking system and API calls at lower levels provides a more comprehensive view of a program’s true behavior. It enables analysts to capture transient execution stages in a multi-layered malware

Aznaur Aliev

M.S. Student

Mhd. Emad Alolaby

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).
<> 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
<> LLM (5)

LLM Injection Cyber Resilient Assistants

LLM injection-resilient cyber assistants using Constitutional AI guardrails, Adaptive Constitutional AI guardrails, DPO, and Unlearning.

Advanced Dynamic and Static Malware Analysis using LLMs

The increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample. While static methods such as disassembly and code review remain crucial, many malware samples use packers and obfuscation techniques that necessitate memory captures and dynamic analysis [Dynamic, 2012]. Similarly, hooking system and API calls at lower levels provides a more comprehensive view of a program’s true behavior. It enables analysts to capture transient execution stages in a multi-layered malware

Ahmar Husain

Muhammad Samiullah

Cyber Security, FPGA security, AI/ML security

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Security and Resilience Technology
Working towards building safe, secure and resilient systems.
<> FPGA (4) <> MATLAB (4) <> SOC (4)

Cyber Resilient Decentralized Agentic Security Operation Center (SOC)

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools

LLM-based Assistant for L-x Security Operation Center (SOC) Analyst

There is a notable increase in cyberattacks, targeting vital digital services like energy, water, oil plants, communication and transportation infrastructure, etc. The lack of right cybersecurity and resilience solutions can transform the blessing of the digital transformation into a curse, thus leaving significant societal threats and economic damage. Security Operation Centers (SOC) are therefore becoming a necessary part of every digital and critical infrastructure with the main roles of defining cybersecurity policies, processes, and implementing detection and response mechanisms and tools
Hassan Hadi

Hassan Hadi

Research Specialist on Cyber Security

Ali Shoker

Research Associate Professor, Computer Science
Ali Shoker, a Research Associate Professor at KAUST leading the Cyber Security and Resilience Technology lab. His research is focused on Applied Cyber Security and Resilience for real-world applications including SOC (SIEM, SOAR, XDR, IDS, IPS), Trustworthy AI, satellite systems, autonomous vehicles, fintech, Blockchain, RF Resilience, etc.
<> Automous Vehicles (3) <> embedded systems (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.
<> 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
<> LiDAR (3) <> optimization (3) <> Photonics and optoelectronics (3) <> Python (3) <> Reinforcement Learning (3) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> autonomous driving (2) <> autonomous vehicles (2) <> biomedical devices (2) <> bioscience (2) <> blockchain (2) <> communication (2) <> data analysis (2) <> distributed systems (2) <> Dynamical Systems (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> intrusion tolerance (2) <> LEO Satellite Security (2) <> Localization (2) <> machine learning for wireless communication (2) <> malware (2) <> Malware Analysis (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> Nonlinear Optics (2) <> optical computing (2) <> Performance analysis (2) <> photonic integrated circuits (2) <> Post-Quantum Cryptography (2) <> Programming language (2) <> quantum communication (2) <> remote sensing (2) <> resilience (2) <> resilient cyber-physical (2) <> RF (2) <> system on chip (2) <> Trustworthy AI (2) <> ultrafast fiber lasers (2) <> wireless communication (2) <> Wireless Communications (2) <> 2D materials (1) <> 5G and beyond (1) <> 5G networks (1) <> 6G (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) <> adaptive control (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> Affective AI (1) <> AI for healthcare (1) <> ambit fields (1) <> Arabic NLP (1) <> artificial intelligence for wireless communication (1) <> automotive security (1) <> Bayesian computational statistics (1) <> beamforming (1) <> bifurcation theory (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> biosensing (1) <> biotechnology (1) <> BLE communication (1) <> broadband photonics-aided terahertz communication and sensing (1) <> calculus of variations (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> cloud- and fog-radio access networks (1) <> coding techniques for Terahertz (1) <> collective (1) <> Collision Avoidance (1) <> communication engineering (1)