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博士生職位及項目負責(zé)人簡介： 用于牽引電機油冷卻優(yōu)化的機器學(xué)習(xí)模型開發(fā) https://www.sems.qmul.ac.uk/rese ... for-traction-motors 項目負責(zé)人：Amin Paykani（a.paykani@qmul.ac.uk）是倫敦瑪麗女王大學(xué)工程與材料科學(xué)學(xué)院（SEMS）可持續(xù)推進系統(tǒng)高級講師。他隸屬于智能交通中心，并擔任該中心的研究負責(zé)人，負責(zé)中心的研究活動。Amin的研究重點是推進能量轉(zhuǎn)換系統(tǒng)的建模和優(yōu)化，將機器學(xué)習(xí)（ML）與基礎(chǔ)物理學(xué)相結(jié)合，以應(yīng)對減排和可持續(xù)發(fā)展方面的關(guān)鍵挑戰(zhàn)。這種跨學(xué)科方法涵蓋了燃燒建模和電動推進熱管理等多個領(lǐng)域，具有重要的社會、工業(yè)和環(huán)境影響。他在倫敦瑪麗女王大學(xué) (QMUL) 創(chuàng)建了電機熱管理實驗室 (EMTML)，該實驗室專門從事電動推進冷卻技術(shù)的實驗和計算研究。他曾作為首席研究員獲得英國工程與物理科學(xué)研究委員會 (EPSRC)、英國皇家學(xué)會和利弗休姆信托基金的多項研究資助。他已發(fā)表60余篇同行評審期刊論文。 PhD position and PI description: Machine learning model development for oil cooling optimisation for traction motors https://www.sems.qmul.ac.uk/rese ... for-traction-motors PI: Amin Paykani （a.paykani@qmul.ac.uk）is a Senior Lecturer in Sustainable Propulsion Systems in School of Engineering and Material Sciences (SEMS) at QMUL. He is affiliated with the Centre for Intelligent Transport, where he also acts as the Research Lead, overseeing the Centre’s research activities. Amin’s research focuses on advancing modelling and optimisation of energy conversion systems, integrating machine learning (ML) with fundamental physics to address critical challenges in emissions reduction and sustainability. This interdisciplinary approach spans diverse areas such as combustion modelling and thermal management of electrified propulsion, creating meaningful societal, industrial, and environmental impact. He has founded the Electric Machines Thermal Management Lab (EMTML) at QMUL, a dedicated facility for experimental and computational research on cooling technologies for electrified propulsion. He has secured several research grants as PI from EPSRC, Royal Society and Leverhulme Trust. He has authored >60 peer-reviewed journal papers. |
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