dorsaVi Limited announced the establishment of a world-class Technical Advisory Board to advance its 'Intelligence at the Ultra Edge' strategy, embedding sensing, memory and computation directly into robotics, wearables and autonomous systems. The company appointed Mr. Roger Peniche as Robotics Technical Advisor. Mr. Peniche brings more than 25 years of global experience in robotics, mechatronics, and advanced manufacturing. He currently serves as the Vice President of Engineering and Manufacturing at Omron Robotics, where he leads multi disciplinary teams delivering high-precision manipulators and autonomous mobile robots (AMRs) for industrial and medical environments.
Previously, he held senior leadership roles at Signode (VP of R&D), Danaher/Fortive (VP of Engineering and Quality), and General Electric. At Signode, he oversaw the delivery of new products that drove around 20% vitality growth at approximately 15% lower cost while quadrupling patent generation, rebooting innovation culture through IP incentives and structured hackathons. During a decade at Danaher, he implemented global collaboration frameworks that reduced costs while maintaining compliance in regulated environments and strengthened the reliability of FDA-regulated systems. Mr. Peniche holds an Engineer?s Degree in Mechanical and Electrical Engineering and a Master?s in Computational Fluid Dynamics and Structural Mechanics (Aeronautics), a postgrad in Software, and is an inventor on multiple industrial and mechatronics patents across transformer safety and connection hardware, automotive wheel-balancing components and packaging/ASRS automation mechanisms. Professor Shahar Kvatinsky was appointed as Neuromorphic and Processing-in-Memory Adviser.
Professor Kvatinsky is a world-leading authority on emerging non-volatile memories, memristor/RRAM-based logic, and Processing-in-Memory (PIM) architectures. He serves as the Dean of the Viterbi Faculty of Electrical and Computer Engineering at Technion ? Israel Institute of Technology.
He holds the Joan Goldberg Arbuse Chair in Electronics and leads the ASIC² research group and the Architectures and Circuits Research Centre (ACRC), both focused on next-generation circuits and architectures that tightly couple memory and compute. Professor Kvatinsky is a pioneer of memristor-based logic families such as MAGIC and IMPLY, and of compute-in-memory circuits that perform operations directly inside memory arrays to remove the latency and energy bottlenecks inherent to traditional CPU-to-memory architectures. Previously, he was a Visiting Professor at the University of Toronto and a Postdoctoral Fellow at Stanford University, with foundational experience in analog circuit design at Intel.
Professor Kvatinsky will provide guidance on the architecture of the Company's neuromorphic Reflex Engine and PIM blocks, focusing on co-optimisation of RRAM devices, peripheral circuits and neuromorphic algorithms so the memory fabric is tuned for real-world sensing and edge-AI acceleration. Professor Wen Siang Lew was appointed as Advanced Memory Strategic Adviser. Professor Lew is an internationally recognised authority in resistive random-access memory (RRAM), memristive devices, and nanoelectronic materials.
He brings over 25 years of experience from world-renowned research institutions, including the University of Cambridge and Nanyang Technological University (NTU). He has authored more than 300 peer-reviewed publications with over 4,500 citations and approximately 60,000 research reads, reflecting sustained leadership in RRAM switching physics, device reliability and emerging non-volatile memory technologies. His work is fundamental to understanding resistive switching mechanisms, thin-film materials, device variability, endurance and scaling behaviour that are critical to advanced-node and in-memory computing architectures.
Professor Lew will support the advancement of the Company?s 22 nm RRAM program, developed with tier-one semiconductor partners and built on the Company?s acquired RRAM technology, helping guide its progression from research-grade validation into full-scale device, system and platform development. System Alignment: He will inform material and device choices to ensure they align with downstream system-level and integration requirements across robotics, medical devices and industrial sensing, and remain compatible with mainstream CMOS manufacturing flows.
