Aijaz H. Lone
- Postdoctoral Research Fellow, Electrical and Computer Engineering
Aijaz's research interests is aimed to bridge the gap between theoretical understanding and practical implementation, driving the development of novel spintronic-based solutions for AI.
Biography
Aijaz H. Lone is a PhD candidate Integrated Intelligent Systems I2S group, under the guidance of Professor Gianluca Setti at King Abdullah University of Science and Technology (KAUST), I'm dedicated to pushing the boundaries of spintronic innovation. With a background in electrical and computer engineering from the Indian Institute of Technology (IIT-M), I've developed a passion for advancing spintronic devices for data storage and neuromorphic applications.
As a PhD candidate Integrated Intelligent Systems I2S group, under the guidance of Professor Gianluca Setti at King Abdullah University of Science and Technology (KAUST), I'm dedicated to pushing the boundaries of spintronic innovation. With a background in electrical and computer engineering from the Indian Institute of Technology (IIT-M), I've developed a passion for advancing spintronic devices for data storage and neuromorphic applications.
Research Interests
During my Ph.D., I focused on simulating and experimentally realizing spintronic devices tailored for neuromorphic (brain-inspired) computing. This includes advanced spintronic memories that emulate synapse and spiking neuron functionalities. By integrating these devices, I have explored their potential in implementing artificial neural networks (ANNs) and spiking neural networks (SNNs) at both circuit and system levels, aiming to improve the computational paradigms.
As a researcher, I bring expertise in modeling, simulations, and experimental realization to the table. My focus
lies in pioneering spintronic technologies like magnetic tunnel junctions (MTJs), domain wall devices, and
magnetic skyrmionic devices – all with the goal of revolutionizing AI and machine learning.
Through my research, I aim to bridge the gap between theoretical understanding and practical implementation, driving the development of novel spintronic-based solutions for AI.
Awards and Distinctions
- Best Poster Award, Compound Semiconductor Weekend, 2022, Symposium on Compound Semiconductor, KAUST, 2022
- Best Poster Award, IEEE NANO, 2024, IEEE NANO 2024, Spain, 2024
Education
- Master of Science (M.S.)
- Electrical and Computer Engineering, Indian Institute of Technology, India, 2020
- Bachelor of Science (B.S.)
- Electrical and Computer Engineering, Islamic University of Science and Technology (IUST), India, 2017
