Syed Ghazi Sarwat


Syed Ghazi Sarwat


Research Staff Member


IBM Research Europe - Zurich Zurich, Switzerland


Ghazi Sarwat Syed is a Research Staff Member in IBM Research in Zurich, Switzerland. He received a Bachelor of Engineering degree from PSG College of Technology, and a Ph.D. degree from the University of Oxford, in Metallurgical Engineering and Materials Science, respectively. His current research focus is primarily in the exploration and use of processing in-memory technologies for deep learning accelerators, both in the electronics and optics domain. The research often combines device design, new functional materials, and algorithmic breakthroughs.

He is a recipient of a Forbes 30 U 30- Europe award. He is an innovator of 16 International Patents and his work has been featured widely over the last several years in reputed Journals and Conferences, including in Nature Nanotechnology, Nature Communications, Science Advances, Advanced Materials, Advanced Functional Materials, Nano letters, primarily on the topics of nanoelectronics and materials, sensors and optoelectronics.  

He practices interdisciplinary and collaborative science: with a worldwide IBM team he works to develop chipsets for real-world artificial intelligence workload demos, and with leading European Universities he architects functional components and algorithms for silicon photonics-based in-memory computing. He is an active reviewer for leading journals and conferences, and currently sits in the organizing committe of the MRS Spring 2023 Phase Change Materials Symposium. Dr Ghazi Syed is an advocate of communication of scientific results, and STEM education and is always open to strike discussions and initiatives to support the cause:


-“Chalcogenide Computational Memory” at European Phase Change and Ovonics Symposium, 2022

-“Concepts of In-memory Computing”, ETH University, 2022

-“Neuromorphic Computing and Neural Networks” at Club House , 2022

-“Phase Change Computational Memory” at The Materials Research Society of India, 2022

-“Biomimetic Phase Change Memtransistive Synapse” at European Phase Change and Ovonics Symposium, 2022

-“Brain-Inspired Photonics Computing using Non-Volatile Memories” at The European Conference on Optical Communication, 2021

-“In-memory Computing using Phase Change Materials” at Photonics North, 2021

-“Nanoelectronics with Low-dimensional Thin Films” at IBM Research, 2019

-“Light-Matter Interaction in Phase Change Materials” at European Phase Change and Ovonics Symposium, 2018

-“Two Dimensional Materials for Nanoelectronics” at Public Engagement Lectures, 2018

-“Phase Change Materials for Optical Applications” at Symposium on Amorphous Chalcogenides, 2018

-“Truly Flexible Technologies” at Wearable and Flexible Technology Symposium, WAFT, 2018 and 2017

-“Graphene Nanogaps: It's Performance Limits' at The International Union of Materials Research Societies, IUMRS, 2018

-“Nanogap Electrodes for Nanoelectronics' at The Micro and Nano Engineering, MNE, 2017

-“Phase Change Memory using graphe Nanogaps' at The Micromechanics and Microsystems Europe Workshop, 2017

In the News

-IBM scientists give artificial neural networks a new look for neuromorphic computing

-An “Optomemristor” for Neural-Net Computing

-An Integrated Photonics Engine for Unsupervised Correlation Detection

-Lighting up artificial neural networks

-Photonics offers a solution to latency issues for AI

-What ultimately limits the scaling of graphene nanogap electrodes

-Studying strain effects in 2D materials using Kelvin Probe Microcopy

-Writing a scientific literature review

-Techian To Oxonian



Blog posts

Top collaborators

Vijay Narayanan

Vijay Narayanan

IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials