Narayanan Ramakrishnan
Director (R & d) and Senior Key Expert at Siemens Healthineers
Based in New York, United States
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Seniority
Other
Department
Other
Location
New York
Industry
Hospitals and Health Care
Company size
49K
Contact information
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n•••••••@siemens-healthineers.com
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Background
About Narayanan Ramakrishnan
Experienced technology development professional with strong background of success in leading cross-functional teams to execute multiple complex and multi-disciplinary projects; with proven innovation in creating new product architectures and breakthrough solutions to enable novel designs and technologies. BACKGROUND: • Experienced in Advanced Technology & Product Development in the Information Technology and Medical Devices Industries. • R&D Manager with experience in managing teams of specialists in the areas of Mechatronics and Computer Aided Engineering (CAE) • Established track record of building and managing teams of R&D Engineers with strategic vision of creating long-term technical assets. • Planned and executed initiatives to build state-of-the-art simulation capabilities and scalable Computer-Aided Engineering (CAE) resource capacity that affords efficient and cost-effective Product Development using the Digital Twin design paradigm. • Key focus areas: Automation and Advanced Control Systems, Micro-electromechanical systems (MEMS), Machine Learning, Algorithm development, Mathematical modeling of complex and multi-physics systems, CAE • 35+ issued and pending patents; 25+ peer-reviewed publications • 20 years of experience in multi-disciplinary research and cross-functional project management TECHNICAL EXPERTISE: • Advanced technology development and product architecture • Automation, Advanced Control, Robotics • Micro electro-mechanical systems (MEMS) • Mathematical modeling and simulation-driven set-based design • Mechanics and multi-physics modeling of systems at micro- and nano-scales • Data modeling and Machine Learning Applications to Sensing, Detection, Condition Monitoring, Error/fault-prediction, and Control • Computational methods; Computer-Aided Engineering (CAE); Multi-objective design optimization
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