EXPERTISE INFORMATION
Research Group
- Process Metallurgy , Computational Metallurgy
Areas of Interest
- Process Metallurgy
- Artificial Intelligence
- Process Modelling
- Welding Metallurgy
SOUMITRA KUMAR DINDA Assistant Professor Grade-II
Metallurgical and Materials Engineering
dindask@nitrkl.ac.in
28
PUBLICATIONS1
DOCTORAL STUDENTS2
CONTINUING EDUCATIONPERSONAL INFORMATION
SOUMITRA KUMAR DINDA
Assistant Professor Grade-II
Metallurgical and Materials Engineering
Room Number: MS-201
Department of Metallurgical and Materials Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008
2019
Ph.D.
Metallurgical and Materials EngineeringIndian Institute of Technology Kharagpur
2013
M.Tech
Metallurgical and Materials EngineeringIndian Institute of Technology Kharagpur
2010
B.E
Metallurgical and Materials EngineeringJadavpur University
Teaching Experience
- Manufacturing Processes, National Institute of Technology, Rourkela, 02 Jan 2024 - Continue
- Mineral Dressing Laboratory, National Institute of Technology, Rourkela, 03 Jul 2023 - 08 Dec 2023
- Transport Phenomena, National Institute of Technology, Rourkela, 01 May 2023 - 08 Dec 2023
Post Doctoral Research Experience
- Continuous Casting (Water Model Experiments, Image Analysis, Artificial Intelligence Prediction, CFD), Materials Science and Engineering, University of Toronto, Canada, 03 Feb 2020 - 24 Apr 2023
Total Publications: 28
S. K. Dinda, D. Li, F. Guerra, C. Cathcart, and M. Barati,"Bubble size determination in a half scaled curved water model mold for various casting conditions using imaging and machine learning", AIST Transactions, Iron and steel technology, February 2024, 10.33313/TR/0224 Article
A. Mohan, Q. Hayat, S. K. Dinda, V. V. Pamarthi, P. Franciosa, D. Ceglarek, and M. Auinger,"A sequential modelling approach to determine process capability space during laser welding of high-strength aluminium alloys", Journal of Advanced Joining Processes, vol.9, pp.100218, Elsevier 2024, https://doi.org/10.1016/j.jajp.2024.100218 Article
S. K. Dinda,"Continuous Casting Tundish Quality Study by Mathematical & Physical Simulations, Economics with Plant Result Justifications", Journal of Alloys and Metallurgical Systems, Elsevier 2024, https://doi.org/10.1016/j.jalmes.2024.100079 Article
J. Leung, S. K. Dinda, D. Li, J. Sengupta, and M. Bussmann,"Sensor instrumentation and advanced imaging of the full-scale physical twin mold for digital data generation during continuous casting", in AISTech 2023 Conference Proceedings, Association for Iron and Steel Technology 2023, 10.33313/387/131 Inproceedings
S. K. Dinda, R. Wang, I. Mohanty, P. Gupta, and T. K. Roy,"Implementing Dimensionality Reduction for Fundamental Assisted Analytics for End of Blow Chemistry Prediction in an LD Converter (FAA4LD)", in AISTech 2023 Conference Proceedings, Association for Iron and Steel Technology 2023, 10.33313/387/092 Inproceedings
Roadmap for Green Steel Production : Industry 4.0 Metallurgical and Materials Engineering (Short-term Course)
- Coordinator
- 01 Jul 2024 - 05 Jul 2024
- Brochure
Artificial Intelligence in Materials Engineering: Theory and Hands-on Practice Metallurgical and Materials Engineering (Workshop)
- Coordinator
- 21 Sep 2023 - 25 Sep 2023
- Brochure
- MM2302 : Transport Phenomena {Theory}
- MM3203 : Manufacturing Processes {Theory}
- MM4301 : Secondary Steel Making {Theory}
- MM2323 : Mineral Dressing Laboratory {Practical}
Ph.D. Students [1]
Parameterization of interatomic potentials for metallic systems
Sankhasubhra MukhopadhyayEnrolled: Jul 2022ContinuingSupervisor
Awards And Honours
- Best Presentation in Contributory Talk 14 of 5th International Conference on Processing and Characterization of Materials (ICPCM 2023), 2023
- MITACS (Mathematics of Information Technology and Complex Systems) Postdoctoral Fellowship-2020, 2020
Memberships / Fellowships
- The Indian Institute of Metals (IIM)-Metallurgy Materials Engineering: Life Member, 2024