Junjie Shi has been an active researcher as associate professor at Northeastern University (Shenyang, China). He received his PhD (2017) and BSc degree (2011) in metallurgy from Northeastern University. Following his PhD, Junjie Shi worked as a postdoctoral researcher at Aalto University (2018-2020, Espoo, Finland), prior to his appointment as an associate professor at the School of Metallurgy at Northeastern University in July 2020. His research over the past 12 years focused on developing a metallurgical understanding of thermodynamics and kinetics by combining experimental studies with computer modelling. His research activities cover metals processing from low-grade and complex ore-based resources and recycled metal-bearing scrap or waste. Experimental research focuses on the equilibrium phase relations of oxide/metal system relating to metallurgical processes, as well as the high value-added critical metals recovery from urban mineral resources including spent lithium-ion batteries, WEEP, FGD gypsum, metallurgical slag, etc. Computer simulation focus on heat transfer phenomena and chemical kinetics of high temperature metallurgical processes. His current research activities focus on fundamentals physiochemical properties of metallurgical operations, slags, mattes, refractory and other high-temperature materials, directly related to modern extractive and refining processes for ferrous and non-ferrous metals, casting and solidification as well as materials synthesis and behavior at high temperatures. His researches were financial supports from National Natural Science Foundation of China, China Postdoctoral Science Foundation. The Natural Science Foundation of Liaoning Province, etc. His research is conducted through research partnerships from Aalto University, Carnegie Mellon University, The University of Queensland, Central South University, etc. He has co-authored over 60 journal and conference papers, 1 book chapters, and is a co-inventor on 12 patent applications. He was awarded the Rong Cheng Xiang Youth Scientific Innovation Award (2022).