Syed Ghazi Sarwat

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 on the exploration and use of processing in-memory technologies for deep learning accelerators, both in the electronics and optics domain. This research combines device design, new functional materials, and algorithmic breakthroughs.

Ghazi Syed is a Forbes 30 Under 30, and IBM Master Inventor honoree. He is an innovator of 25 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.   Dr Ghazi Syed advocates for communication of scientific results, and STEM education and is always open to strike discussions and initiatives to support the cause.

Selected Publications

• Ghazi Sarwat Syed, K. Brew, A. Vasilopoulos, V. P. Jonnalagadda, B. Kersting, T. Philip, V. Bragaglia, S. Ambrogio, J. Büchel, I. Giannopoulos, M. Le Gallo, C.-W. Cheng, M. BrightSky, V. Narayanan, N. Saulnier, A. Sebastian. "In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices."IEEE International Electron Devices Meeting (IEDM) (2023).
• Ghazi Sarwat Syed, Yingqiu Zhou, Jamie Warner, and Harish Bhaskaran. "Atomically thin optomemristive feedback neurons." Nature Nanotechnology (2023): 1-8
• Ghazi Sarwat Syed, Benedikt Kersting, Timoleon Moraitis, Vara Prasad Jonnalagadda, and Abu Sebastian. "Phase-change memtransistive synapses for mixed-plasticity neural computations." Nature Nanotechnology 17, no. 5 (2022): 507-513.
• Ghazi Sarwat,Syed, Brückerhoff-Plückelmann, F., Carrillo, S.G.C., Gemo, E., Feldmann, J., Bhaskaran, H., Wright, C.D., Pernice, W.H. and Sebastian, A., 2022. An integrated photonics engine for unsupervised correlation detection. Science Advances, 8(22), p.eabn3243
• Ghazi Sarwat Syed, Manuel Le Gallo, Robert L. Bruce, Kevin Brew, Benedikt Kersting, Vara Prasad Jonnalagadda, Injo Ok, Nicole Saulnier, Matthew BrightSky, and Abu Sebastian. "Mechanism and Impact of Bipolar Current Voltage Asymmetry in Computational Phase‐Change Memory." Advanced Materials 35, no. 37 (2023): 2201238.
• Ghazi Sarwat Syed, Timoleon Moraitis, C. David Wright, and Harish Bhaskaran. "Chalcogenide optomemristors for multi-factor neuromorphic computation." Nature communications 13, no. 1 (2022): 2247.
• Ghazi Sarwat Syed, Timothy M. Philip, Ching‐Tzu Chen, Benedikt Kersting, Robert L. Bruce, Cheng‐Wei Cheng, Ning Li, Nicole Saulnier, Matthew BrightSky, and Abu Sebastian. "Projected Mushroom Type Phase‐Change Memory." Advanced Functional Materials 31, no. 49 (2021): 210654
• Ghazi Sarwat Syed, Pascal Gehring, Gerardo Rodriguez Hernandez, Jamie H. Warner, G. Andrew D. Briggs, Jan A. Mol, and Harish Bhaskaran. "Scaling limits of graphene nanoelectrodes." Nano Letters 17, no. 6 (2017): 3688-3693.
• Full list: https://orcid.org/0000-0002-2054-4887

Hot of the Press

• Mehonic et al. "Roadmap to Neuromorphic Computing with Emerging Technologies." APL Materials 12, no. 10 (2024)
• Le Gallo, Manuel, Oscar Hrynkevych, Benedikt Kersting, Geethan Karunaratne, Athanasios Vasilopoulos, Riduan Khaddam-Aljameh, Ghazi Sarwat Syed, and Abu Sebastian. "Demonstration of 4-quadrant analog in-memory matrix multiplication in a single modulation." npj Unconventional Computing 1, no. 1 (2024): 11.

Invited Talks/Lectures

• Disc-type Phase-Change Memory Devices for Analog In-Memory Computing at European Phase Change and Ovonics Symposium, 2024
• Analog In-Memory Computing with Phase Change Computational Memor, ePCM Workshop by ST Microelectronics, 2024
• Neural Network Inference using Analog In-memory Computing at International Workshop on the Physics of Semiconductor Devices, 2023
• In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices at IEEE International Electron Devices Meeting, 2023
• Tutorial: A Gentle Introduction to In-Memory Computing at Mauterndorf Winterschool, 2023
• 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 graphene Nanogaps at The Micromechanics and Microsystems Europe Workshop, 2017

Upcoming

• Tutorial: Phase Change In-Memory Computing at Materials Research Society Fall Meeting, 2024
• Computing the old way, at 87th Unconventional Computing Workshop, 2024

Services

• Guest Editor for the Special Issue ‘Ultralow Power Operating Non-Volatile Memory Devices’, Advanced Functional Materials
• Organizer of the ‘Optical and Electronic Phase Change Materials: Science and Application Symposium’, GOMD, Vancouver, 2024
• Organizer of the ‘Phase Change Materials Symposium’, Material Research Society, San Francisco
• IBM Liaison for Semiconductor Research Corporation’s Industry-Academia Programs in the United States, 2022 onwards

In the News

• The chips of tomorrow may well take inspiration from the architecture of our brains
• Artificial neurons mimic complex brain abilities for next-generation AI computing
• 3D Integration Supports CIM Versatility And Accuracy
• Phase Change Materials in MRS Spring 2023
• Forbes 30 Under 30
• 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