Darioush Keivan
Applied Scientist @Cognichip
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WORK HISTORY
Applied Scientist @Cognichip
US
EDUCATION
Purdue University
Master of Science - MS, Mechanical Engineering
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Mechanical Engineering
Sharif University of Technology
Bachelor of Science (B.Sc.), Mechanical Engineering
Sharif University of Technology
Bachelor of Science (B.Sc.), Aerospace, Aeronautical and Astronautical Engineering
ABOUT DARIOUSH KEIVAN
As a passionate engineer specializing in algorithm design and system development, I focus on solving complex engineering challenges using AI and machine learning techniques. I recently co-developed ControlAgent, a novel framework that automates control system design through the integration of multiple Large Language Model (LLM) agents and control-oriented domain expertise. ControlAgent leverages collaborative LLM agents, including a central agent for task distribution and specialized agents for controller design across diverse systems. I am also collaborating with Amazon to advance methods for evaluating LLM responses in engineering contexts, enhancing their technical accuracy and relevance for real-world applications. Additionally, in my role at Seagate, I am co-oping to develop an intelligent discovery loop database, utilizing AI and machine learning tools to accelerate controller design and analysis.My background is anchored in computer science, control theory, and optimization, strengthened by over 7 years of experience in Python (including PyTorch, Pandas, Sklearn) and MATLAB.
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