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<> 3D printing (10)

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

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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.
<> machine learning (10)

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).
<> 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.
<> deep learning (6) <> sensors (6)

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.
<> artificial intelligence (5)

Najmeddine Dhieb

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)
<> 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

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