Topics

<> machine learning (15)

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

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

David Gomez-Cabrero

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

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

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

Karen Sanchez

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

Hani A. Al Majed

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

Ahmad Sait

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

Saleh AlJazzar

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

Muhammad Esmat

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

Yasser Jaber

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> 3D printing (10)

Solution Processable Carbon Nanotubes Based Sensors: Towards 4D Printed Electronics

-

B2 L5 R5209

In this thesis, we focus on the design and development of 4D printed sensors. Carbon nanotubes (CNTs) are used as the active sensing medium as they have proven to be ideal for application in sensors due to their high electric conductivity, stability, and mechanical flexibility. The effect of a heat-shrinkable substrate on the electronic and structural properties of CNTs is analyzed in depth, followed by the application in temperature, humidity, and pressure sensors. The results show that the 4D effect results in a more porous yet more conductive film due to an increase in the charge carrier concentration, enabling an improved sensitivity of the devices and allowing us to tune the selectivity based on the shrinking percentage. The developed device was fabricated using a rapid, cost-effective technique that is independent of advanced fabrication facilities to expand its applications to low-resource settings and environments.

Wojoud Almubadal

Shicheng Su

Shicheng Su is currently an MSc/Ph.D. at the SAMA lab. He received his BSc from the University of Electronic Science and Technology of China, China, in 2022 His research interests include smart memory devices, neuromorphic and in-memory computing.

Serhii Tytov

Meshal Binmitaab

Lana Joharji

Lana Joharji completed her master’s degree at the SAMA Labs in the Electrical and Computer Engineering program at KAUST. She received her bachelor's degree in Electrical and Computer Engineering from King Abdulaziz University (KAU), KSA, in 2021. Her research interests include sensors, actuators, flexible and soft electronics for environmental applications. She received the KAUST Graduate Fellowship for her MS/Ph.D. program. She is a student member of the IEEE and Saudi Council of Engineers. After graduating from the SAMA labs, she joined Tufts University, USA, as a PhD student.

Lama Alshammari

Lama Alshammari is currently a Visiting Student at SAMA lab. she received her BSc from AL Faisal University in Electrical Engineering, Riyadh, in 2023. She worked as a visiting student at Electronics and Photonics lab, KACST, Riyadh, in 2021. She has previously received AL Faisal Boeing award. Her research interests include 3D printing smart memory devices.

Fhad Al-Modaf

Fahad Alam

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Fahad Alam is currently a postdoc at SAMA lab. He received his MSc and MTech from AMU Aligarh, India, in 2009 and 2012, respectively, and PhD from IIT Kanpur, India in 2017. He worked as a Postdoc, in Khalifa University Abu Dhabi from April 2018 to March 2022. He has previously received N-PDF, India, and EU-India (IITK-University of Groningen) exchange fellowship. His research interests include 3D/4D printing and shape memory polymers.

Aljawharah Alsharif

Aljawharah Alsharif is a PhD student in Electrical and Computer Engineering and a member of the Smart, Advanced Memory Devices and Applications lab (SAMA) at King Abdullah University of Science and Technology, Saudi Arabia. She is passionate about shaping the future of wearable devices, flexible and soft electronics, sensors, and actuators through 4D/3D printing.
<> Signal processing (9)

Serine Medjber

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

Mohammed Amine Labbas

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

Chengjie Zhao

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

Almutasem Bellah Enad

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

Ahmad Dkhan

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

Saleh AlJazzar

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

Alaa Alameer Ahmad

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

Abdullatif Al-Rabah

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

Peter Schmid

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

Adonai Vera

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

Juan Pablo Muñoz Díaz

Karen Sanchez

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

Mhd. Emad Alolaby

Sixiu Liu

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

Ahmed Youssef Ragab Radwan

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

AI for Chips and Chips for AI

-

B9 L2 R2325

This seminar presents a unified "AI for Chips & Chips for AI" approach, demonstrating how AI enhances semiconductor design while specialized silicon accelerates AI computation, creating a rapid innovation cycle.
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
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

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

Aznaur Aliev

M.S. Student

Hani A. Al Majed

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

Ahmad Sait

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

Serine Medjber

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

Mohammed Amine Labbas

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

Ruochen Zhu

Mohamed Ads

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Nazek El-Atab appointed IEEE Distinguished Lecturer

1 min read ·

IoT

Nazek El-Atab, KAUST assistant professor of electrical and computer engineering and the principal investigator of the Smart, Advanced Memory Devices and Applications (SAMA) Lab, has been recently selected to serve as a Distinguished Lecturer (DL) for the IEEE Electron Devices Society.
<> sensors (7)
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.

Smart memory devices that can sense

1 min read ·
In-memory sensing technology will facilitate electronic systems that are faster, smaller and consume less energy.

Wojoud Almubadal

Lana Joharji

Lana Joharji completed her master’s degree at the SAMA Labs in the Electrical and Computer Engineering program at KAUST. She received her bachelor's degree in Electrical and Computer Engineering from King Abdulaziz University (KAU), KSA, in 2021. Her research interests include sensors, actuators, flexible and soft electronics for environmental applications. She received the KAUST Graduate Fellowship for her MS/Ph.D. program. She is a student member of the IEEE and Saudi Council of Engineers. After graduating from the SAMA labs, she joined Tufts University, USA, as a PhD student.

Fhad Al-Modaf

Fahad Alam

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Fahad Alam is currently a postdoc at SAMA lab. He received his MSc and MTech from AMU Aligarh, India, in 2009 and 2012, respectively, and PhD from IIT Kanpur, India in 2017. He worked as a Postdoc, in Khalifa University Abu Dhabi from April 2018 to March 2022. He has previously received N-PDF, India, and EU-India (IITK-University of Groningen) exchange fellowship. His research interests include 3D/4D printing and shape memory polymers.

Bashayr Alqahtani

Bashayr Alqahtani is an Electrical and Computer Engineering master’s student at King Abdullah University of Science and Technology, and a student at the KAUST Smart, Advanced Memory devices and Applications (SAMA) Laboratory under the supervision of Professor Nazek El-Atab. Her research interests include the fabrication of physics devices such as sensors for industrial and in-memory sensing applications.
<> 4D printing (6)

Solution Processable Carbon Nanotubes Based Sensors: Towards 4D Printed Electronics

-

B2 L5 R5209

In this thesis, we focus on the design and development of 4D printed sensors. Carbon nanotubes (CNTs) are used as the active sensing medium as they have proven to be ideal for application in sensors due to their high electric conductivity, stability, and mechanical flexibility. The effect of a heat-shrinkable substrate on the electronic and structural properties of CNTs is analyzed in depth, followed by the application in temperature, humidity, and pressure sensors. The results show that the 4D effect results in a more porous yet more conductive film due to an increase in the charge carrier concentration, enabling an improved sensitivity of the devices and allowing us to tune the selectivity based on the shrinking percentage. The developed device was fabricated using a rapid, cost-effective technique that is independent of advanced fabrication facilities to expand its applications to low-resource settings and environments.

Serhii Tytov

Lana Joharji

Lana Joharji completed her master’s degree at the SAMA Labs in the Electrical and Computer Engineering program at KAUST. She received her bachelor's degree in Electrical and Computer Engineering from King Abdulaziz University (KAU), KSA, in 2021. Her research interests include sensors, actuators, flexible and soft electronics for environmental applications. She received the KAUST Graduate Fellowship for her MS/Ph.D. program. She is a student member of the IEEE and Saudi Council of Engineers. After graduating from the SAMA labs, she joined Tufts University, USA, as a PhD student.

Fhad Al-Modaf

Fahad Alam

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Fahad Alam is currently a postdoc at SAMA lab. He received his MSc and MTech from AMU Aligarh, India, in 2009 and 2012, respectively, and PhD from IIT Kanpur, India in 2017. He worked as a Postdoc, in Khalifa University Abu Dhabi from April 2018 to March 2022. He has previously received N-PDF, India, and EU-India (IITK-University of Groningen) exchange fellowship. His research interests include 3D/4D printing and shape memory polymers.

Aljawharah Alsharif

Aljawharah Alsharif is a PhD student in Electrical and Computer Engineering and a member of the Smart, Advanced Memory Devices and Applications lab (SAMA) at King Abdullah University of Science and Technology, Saudi Arabia. She is passionate about shaping the future of wearable devices, flexible and soft electronics, sensors, and actuators through 4D/3D printing.
<> AI (5) <> in-memory sensing (5)

Smart in-memory light sensors perform image recognition

1 min read ·
Light-sensitive memory elements that can be programmed optically offer promise for more efficient real-time image analysis.

Shicheng Su

Shicheng Su is currently an MSc/Ph.D. at the SAMA lab. He received his BSc from the University of Electronic Science and Technology of China, China, in 2022 His research interests include smart memory devices, neuromorphic and in-memory computing.

Nazek El-Atab

Professor El-Atab's research focuses on enhancing an increasingly digitized world by utilizing multifunctional memory devices for emerging applications such as artificial intelligence, the Internet of Things (IoT) and augmented reality.

Hanrui Li

Hanrui Li is currently a MS/PhD student at SAMA lab. He received his bachelor degree from Changchun University of Science and Technology, China in 2022. During June 2021 to April 2022, he worked as a visiting research student at Mohamad Sawan's lab, Westlake University. His research interests include smart memory devices and neuromorphic computing.

Abdul Momin Syed

<> Cyber Security (4) <> In-memory computing (4) <> ISAC (4)
kaust-cemse-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ccsl-bumin-kagan-yildirim

Bumin Kagan Yildirim

Bang Huang

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> MATLAB (4) <> embedded systems (3) <> FPGA (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
Dr. Aram Mkrtchyan is currently a Postdoctoral Fellow at the Integrated Photonics Laboratory (IPL) at King Abdullah University of Science and Technology (KAUST), where he works under the supervision of Prof. Yating Wan. He earned his Ph.D. in Photonics from the Skolkovo Institute of Science and Technology (Skoltech), where he specialized in nonlinear optics, ultrafast fiber lasers, and photonic integrated circuits. He received his M.Sc. degrees in parallel from Skoltech and the Moscow Institute of Physics and Technology (MIPT), and holds a B.Sc. degree in Applied Physics and Mathematics from
<> LLM (3) <> optimization (3) <> Photonics and optoelectronics (3) <> Reinforcement Learning (3) <> solar cells (3) <> 2D materials (2) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> bioscience (2) <> communication (2) <> Dynamical Systems (2) <> Generative AI and LLMs (2) <> healthcare (2) <> Large Language Models (2) <> LiDAR (2) <> Localization (2) <> memristor (2) <> nanofabrication (2) <> Network Design (2) <> network security (2) <> Non-Terrestrial Networks (2) <> Nonlinear Optics (2)

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Aram Mkrtchyan is currently a Postdoctoral Fellow at the Integrated Photonics Laboratory (IPL) at King Abdullah University of Science and Technology (KAUST), where he works under the supervision of Prof. Yating Wan. He earned his Ph.D. in Photonics from the Skolkovo Institute of Science and Technology (Skoltech), where he specialized in nonlinear optics, ultrafast fiber lasers, and photonic integrated circuits. He received his M.Sc. degrees in parallel from Skoltech and the Moscow Institute of Physics and Technology (MIPT), and holds a B.Sc. degree in Applied Physics and Mathematics from
<> optical computing (2) <> Programming language (2) <> Python (2) <> quantum communication (2) <> robotics (2) <> semiconductors (2) <> ultrafast fiber lasers (2)

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Aram Mkrtchyan is currently a Postdoctoral Fellow at the Integrated Photonics Laboratory (IPL) at King Abdullah University of Science and Technology (KAUST), where he works under the supervision of Prof. Yating Wan. He earned his Ph.D. in Photonics from the Skolkovo Institute of Science and Technology (Skoltech), where he specialized in nonlinear optics, ultrafast fiber lasers, and photonic integrated circuits. He received his M.Sc. degrees in parallel from Skoltech and the Moscow Institute of Physics and Technology (MIPT), and holds a B.Sc. degree in Applied Physics and Mathematics from
<> Wireless communication (2) <> Wireless Communications (2) <> 2D materials characterization (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) <> advanced semiconductors (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) <> beamforming (1) <> bifurcation theory (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> biosensing (1) <> Biosensors (1) <> biotechnology (1) <> BLE communication (1) <> blockchain (1) <> calculus of variations (1) <> capacitive sensors (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> cloud- and fog-radio access networks (1) <> coding techniques for Terahertz (1) <> collective (1) <> communication engineering (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational bioscience (1) <> computational methods (1) <> computational statistics (1) <> computer networks (1) <> Continual Learning (1) <> Cooperative networks (1) <> cross-layer optimization (1) <> Cultural Understanding (1)