Prof. Dr. John Paul Strachan
Head of Institute
John Paul Strachan directs the Peter Grünberg Institute (PGI-14) for Neuromorphic Compute Nodes at Forschungszentrum Jülich and is Professor in the faculty of Electrical Engineering and Information Technology at RWTH Aachen University. Before this, John Paul led the Emerging Accelerators team within the A.I. Lab at Hewlett Packard Labs, where he was a Distinguished Technologist. He received Bachelors degree in Electrical Engineering with Computer Science and Physics from MIT, a Masters in Electrical Engineering and Computer Science from MIT, and a Ph.D. from Stanford University in Applied Physics. He took a post-doc at Hewlett Packard Labs and joined the permanent staff. He has over 50 patents and has authored or co-authored over 90 peer-reviewed papers. He previously studied nanomagnetic devices for memory for which he was awarded the Falicov Award from the American Vacuum Society, and has developed sensing systems for precision agriculture in a company which he co-founded. Since 2014, he has been leading a team to explore novel computing architectures that exploit emerging device technologies for increased energy efficiency and performance. He serves in professional societies including IEEE IEDM ExComm, the Nanotechnology Council ExComm, and past program chair and steering member of the International Conference on Rebooting Computing. Since July 2021, John Paul moved to Germany to ramp up a new institute continuing his exciting research and benefiting from the many rich collaborations at Forschungszentrum Jülich and RWTH Aachen University.
Executive Assistant to Prof. Dr. John Paul Strachan
Contact: +49 241/92-780421
My educational background is theoretical physics, which I have applied mainly in medical research and neuroscience. In my previous work, I have also been involved in the acquisition and management of third-party funded research and development projects. The goal of my work in PGI-14 is to apply insights from dynamical systems theory to the realization of bio-inspired information processing systems. In parallel, my work aims to explore application fields for these novel bioinspired information processing systems and to identify funding opportunities.
I did a BSc and MSc in Electrical Engineering at Philadelphia University and Princess Sumaya University for Technology (PSUT) respectively. My master’s thesis title was “Design of a Modular Multiplier for Public-Key Cryptography Applications Using Residue Number System and Signed-Digit Representation”. My interests are software/hardware co-design, application-specific design, neuromorphic computation, optimization problems, machine learning, cryptography, and computer arithmetic operation. I am currently working on neuromorphic-based solvers for combinatorial optimization problems.
My background is in nonlinear dynamics in complex networks, control theory, and memristive materials. In PGI-14, I explore software-hardware codesign for associative memory using content-addressable memories.
I received my B.Sc. and M.Sc. at the University of applied science Mannheim. I was previously working as an electrical engineer in a space tech company before starting my Ph.D. position at Forschungszentrum Jülich in April 2022. I am working on hardware implementations of memristive analog Content-Addressable-Memories (aCAM) as well as their possible implementation and usage. I am interested in chip design, machine learning, and neuroscience.
I am currently interested in exploring probabilistic computing and model-based machine learning from hardware-algorithm co-design aspects. My previous topics in Taiwan include device physics and quantum computing.
I am currently a master's student studying in TUM-NTU joint MSc in IC Design. I graduated with double bachelor's degrees in Electronic and Electrical Engineering from the University of Electronic Science and Technology of China (UESTC) and the University of Birmingham, UK. My current research interests are circuit design for Content Addressable Memory (CAM) and other novel neuromorphic circuit design.
I received my BSc at Moscow State University and MSc at RWTH Aachen in Physics. I am currently working on physics-aware neuromorphic computing algorithms and hardware for solving NP-hard optimization problems.
Collaborations across Forschungszentrum Julich
We work closely with:
Our research is the product of many fruitful collaborations world-wide!
- Hewlett Packard Labs, HPE: Catherine Graves, Paolo Faraboschi, Xia Sheng, Giaocomo Pedretti, Thomas Van Vaerenbergh, Martin Foltin, Dejan Milojicic, Sergey Serebryakov
- University of Hong Kong: Professor Can Li
- Sandia Labs: Matthew Marinella, Sapan Agarwal, Zhiyong Li, Suhas Kumar
- University of Utah: Rajeev Balasubramanian
- Purdue University: Aayush Ankit, Kaushik Roy
- UIUC: Wenmei Hwu, Izzat El-Haj
- Polimi: Daniele Ielmini, Piergiulio Mannocci
- University of Michigan: Professor Wei Lu
- USC: Professor Joshua Yang
- University of Massachusetts: Professor Qiangfei Xia
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