Hi all,

I’m happy to inform you that Shahzeb Tariq (Ph.D student​) got a best paper award from ChemEEE2024​ conference. Congratulation Shahzeb for your great award (Top 1^st paper). 

A special issue from SCI journal will be submitted soon.

연구실에서 처음으로 레독스 흐름 배터리 (VRFB) Battery 연구를 수행한결과로 플로 배터리 모델링과 AI 기반 SOC 예측 적용 에 관한 연구로 best paper award 수상을 축하하고 SCI Special Issue에 full paper 논문 제출 예정입니다.

연구주제 : 산화환원 배터리 시스템 모델링 & SOC 예측 &  AI 제어​

축하합니다. 

-  1st research output on Flow Battery from EMSEL​ : Dynamics and proactive control usign multi-step DL prediction model

 - Topic : Attention-based recurrent neural networks for multistep forecasting and proactive temperature control in vanadium redox flow battery system​

- Shahzeb Tariq​ (Ph.D student​)​: ChemEEE2024​ best paper award

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[ChemEEE2024] Best paper award (Top 1^st)

Shahzeb Tariq, ChangKyoo Yoo^*​, Seshagiri Rao Ambat*, Attention-based recurrent neural networks for multistep forecasting and proactive temperature control in vanadium redox flow battery systems, International Conference on Trends in Chemical, Energy, and Environmental Engineering (ChemEEE2024), pp140., Oral presentation, Indian Institute of Petroleum and Energy, pp. 141, Oral Presentation, Visakhapatnam, India (2024.2.19-21) (Best paper award)​

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Seshagiri​