Chattopadhyay, Kinnor


Kinnor Chattopadhyay | BEng (Jadavpur), MEng (McGill), PhD (McGill), PEng
Associate Professor & Dean’s Catalyst Professor
AIST Foundation Steel Professor

Office: EA 201
T: 416.978.6267

Research Group: Process Metallurgy Research Labs


Research Areas

The Process Metallurgy and Modelling Group focuses on simulation and analytics of metallurgical process for designing new processes, better understanding of existing process, operational improvements, and to perform ‘what if’ and ‘root cause’ analyses of problems. Fundamentals of metallurgical theories, and principles of data science are applied to design and optimize real industrial processes. Topics of interest include:

  • Process Simulation & Optimization
  • Fundamental Assisted Analytics (FAA)
  • Recycling Waste to Value
  • Lithium-Ion Battery Recycling and Cathode Restoration

Research Clusters

Link to Google Scholar

Select Publications: 

Book Chapters

  • Contributor of four subchapters in Volume 2., Chapter 4, Metallurgical Process Technology- Treatise in Process Metallurgy, Elsevier Publications, Editor in chief, Prof Seshadri Seetharaman, KTH, Sweden, 2012
  • Contributor of chapter “ Mn emissions from Steelmaking” in Dangerous Emissions in Iron and Steelmaking Plants, Springer Publications, Editor in chief, Prof Pasquale Cavaliere , University of Salento, Italy, 2015


  • Makuza, B., Tian, Q., Guo, X., Chattopadhyay, K., Yu, D “Pyrometallurgical options for recycling spent lithium-ion batteries: A comprehensive review”, Journal of Power Sources, 2021, 491, 229622
  • S Mukherjee, L Kavalsky, K Chattopadhyay, CV Singh, “Dramatic improvement in the performance of graphene as Li/Na battery anodes with suitable electrolytic solvents” Carbon 161, 570-576
  • Anway Naskar Arkajit Ghosh Avinava Roy, Manojit Ghosh, Kinnor Chattopadhyay “Polymer-Ceramic Composite Electrolyte for Li-Ion Batteries”
  • A Asgarian, R Morales, M Bussmann, K Chattopadhyay, Water atomisation of molten metals: a mathematical model for a water spray Powder Metallurgy 65 (1), 70-88,
  • N Li, Y Jiang, X Lv, L Gao, K Chattopadhyay “Vacuum distillation-treated spent potlining as an alternative fuel for metallurgical furnaces” JOM 71 (9), 2978-2985
  • N Li, Y Jiang, Y He, L Gao, Z Yi, F Zhai, K Chattopadhyay ”Sustainable synthesis of multiple-metal-doped Fe2O3 nanoparticles with enhanced photocatalytic performance from Fe-bearing dust”  Journal of Materials Research and Technology 15, 810-820
  • Ruibin Wang, Itishree Mohanty, Amiy Srivastava, Tapas Kumar Roy, Prakash Gupta, Kinnor Chattopadhyay” Hybrid Method for Endpoint Prediction in a Basic Oxygen Furnace” Metals 12 (5), 801
  • Alvin Ma, Sina Mostaghel, Kinnor Chattopadhyay” Development of an Artificial Neural Network to Predict Sulphide Capacities of CaO–SiO2–Al2O3–MgO Slag System” ISIJ International 57 (1), 114-122

Conference & Featured Publications

  • Sankha Mukherjee, Donghui Li, Xintong Liu, Nishit Patel, Kinnor Chattopadhyay “How a coal-based DRI process inspired the development of a battery recycling technology”, MPT International, 6, 2019, pp 46
  • Kinnor Chattopadhyay,Sankha Mukherjee, Donghui Li, Xintong Liu, Nishit Patel “Battery Recycling: A novel recycling process for EV LIBs”, Recycling Magazine International Edition (February 2020)
  • Asgarian, A., Heinrich, M., Chattopadhyay, K. and Bussmann, M., “Computational modelling of water sprays in molten metal atomization process”, In: Proceedings of EUROPM 2018, 14 – 18 October 2018, Bilbao, Spain.
  • Asgarian, A., Alicandri, R., Chattopadhyay, K. and Bussmann, M., “Initial development of an industrial tool to model water atomization of metals”, In: Proceedings of WORLDPM2018, Sep. 16-20, 2018, Beijing, China.
  • Li, N., Gao, L. and Chattopadhyay, K., “Migration behavior of fluorides in spent potlining during vacuum distillation method”, In: Proceedings of Light Metals 2019: Aluminum Reduction Technology in 2019 TMS Annual Meeting & Exhibition, San Antonio, TX, USA
  • MSE 238- Statistics and Numerical Methods
  • MSE 455- Process Simulation and Computer Design
  • MSE 1063 – Application of Artificial Intelligence in Process Metallurgy
  •  AIST Metallurgy Technology Division, Richard J. Fruehan Award, 2022
  • TMS Light Meals Division, Aluminum Reduction Technology Best Paper Subject Award, 2018.
  • METSOC, Pyrometallurgy Section Best Paper Award, 2017
  • AIST Kent D. Peaslee Junior Faculty Award, 2016
  • CIM METSOC Brimacombe Award, 2016

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