Swati Mahato | Machine Learning in Alloy Development | Innovative Research Award

Published on by Metallurgical Engineering

Innovative Research Award

Swati Mahato
Erich Schmid Institute for Materials Science, Austria
Swati Mahato
Affiliation Erich Schmid Institute for Materials Science
Country Austria
Scopus ID 58339690800
Documents 7
Citations 30
h-index 3
Subject Area Machine Learning in Alloy Development
Event Metallurgical Engineering Awards
ORCID 0009-0004-5463-2414

Swati Mahato is a researcher affiliated with the Erich Schmid Institute for Materials Science, Austria. Her research interests include the application of machine learning methods in alloy development, computational materials science, and data-driven materials engineering. Her scholarly work contributes to the integration of artificial intelligence techniques into metallurgical research, supporting accelerated materials discovery, optimization, and predictive modelling. The available publication metrics indicate an emerging research profile with growing academic visibility.[1]

Abstract

Machine learning has become an important tool for accelerating alloy design, predicting material properties, and supporting data-driven decision making in metallurgical engineering. Swati Mahato’s research explores the integration of computational intelligence with materials science to improve the efficiency of alloy development and materials characterization. Her publications demonstrate interdisciplinary collaboration between metallurgy, computational modelling, and artificial intelligence while contributing to emerging digital approaches within materials research.[2]

Keywords

Machine Learning; Alloy Development; Materials Informatics; Metallurgy; Artificial Intelligence; Materials Engineering

Introduction

The application of artificial intelligence within metallurgy has significantly expanded opportunities for faster alloy optimization, prediction of microstructural evolution, and efficient experimental planning. Data-driven methodologies increasingly complement traditional experimental approaches by reducing development time while improving predictive accuracy. Researchers working in this interdisciplinary area contribute to the advancement of sustainable and intelligent materials engineering practices.[3]

Research Profile

Swati Mahato’s scholarly profile reflects active participation in machine learning applications for alloy development. According to publicly available research metrics, the profile includes seven indexed publications, approximately thirty citations, and an h-index of three. These indicators suggest a developing research trajectory supported by interdisciplinary collaborations and contributions to computational materials science.[1]

Research Contributions

  • Application of machine learning algorithms for alloy property prediction.
  • Support for computational materials design using data-driven methodologies.
  • Research involving advanced materials characterization and modelling.
  • Contribution to interdisciplinary materials informatics research.
  • Promotion of digital technologies within metallurgical engineering.

Publications

The researcher has authored peer-reviewed publications indexed within international scientific databases. These publications focus on computational materials science, alloy development, and machine learning methodologies for engineering applications. Representative scholarly literature in this field includes studies published with Digital Object Identifiers (DOIs), demonstrating adherence to internationally recognized scientific publishing standards.[4]

Research Impact

The integration of machine learning into alloy development represents an important direction for modern metallurgical engineering. Research within this domain supports predictive modelling, optimization of processing parameters, and accelerated discovery of advanced materials. Citation metrics and indexed publications provide measurable evidence of academic dissemination and engagement within the scientific community.[5]

Award Suitability

Swati Mahato’s work aligns with the objectives of the Innovative Research Award by demonstrating interdisciplinary research at the intersection of metallurgy, artificial intelligence, and computational materials science. The research contributes to emerging technologies that enhance alloy design methodologies and supports innovation within metallurgical engineering through evidence-based scientific investigation.[4]

Conclusion

The academic profile presented here illustrates an emerging researcher engaged in machine learning-driven alloy development and computational materials engineering. Through indexed publications, measurable citation impact, and interdisciplinary research activities, Swati Mahato contributes to ongoing developments in digital metallurgy and materials informatics. Continued scholarly activity is expected to further strengthen contributions within this rapidly evolving research area.[5][2]

References

  1. Elsevier. (n.d.). Scopus author details: Swati Mahato, Author ID 58339690800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58339690800
  2. S Mahato, S Chandrakar, & et al. (2024). An experimental and crystal plasticity simulation study on kink band-assisted grain fragmentation during high-pressure torsion of (CrFeNi)99Si1 medium-entropy alloy.
    https://link.springer.com/article/10.1007/s10853-023-09224-6
  3. S Mahato, SR Jha, & et al. (2024). Effect of the deformation temperature and strain on the strain rate sensitivity of fcc medium-entropy alloys.
    https://pubs.aip.org/aip/jap/article/136/2/025103/3302669
  4. S Mahato, NP Gurao, K Biswas. (2025). The role of temperature and strain on the deformation behaviour and microstructural evolution of FCC (CrFeNi) 99Si1 medium-entropy alloy.
    https://www.sciencedirect.com/science/article/abs/pii/S0921509324015314
  5. S Chandrakar, S Mahato, & et al. (2025). Elucidating the influence of alloying elements on hydrogen embrittlement in steels through machine learning-aided property prediction.
    https://iopscience.iop.org/article/10.1088/1361-651X/adf242/

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Suverna Trivedi | Materials Science | Innovative Research Award

Published on by Metallurgical Engineering

Innovative Research Award

Suverna Trivedi
Indian Institute of Technology Kharagpur, India

Suverna Trivedi
Affiliation Indian Institute of Technology Kharagpur
Country India
Scopus ID 57208153318
Documents 34
Citations 1,119
h-index 18
Subject Area Materials Science
Event Metallurgical Engineering Awards
ORCID 0000-0003-4697-7338

Suverna Trivedi is an Indian chemical engineer and academic specializing in heterogeneous catalysis, nanostructured materials, environmental catalysis, perovskite solar cells, photocatalysis, carbon dioxide utilization, and sustainable energy technologies. She currently serves as Assistant Professor in the Department of Chemical Engineering at the Indian Institute of Technology Kharagpur. Her research integrates catalytic materials development, emission control technologies, advanced functional materials, and renewable energy systems while emphasizing environmentally sustainable engineering solutions.[1]

Abstract

Suverna Trivedi has established a multidisciplinary research portfolio spanning catalytic materials, nanotechnology, environmental remediation, renewable energy, and advanced materials engineering. Her investigations include catalytic oxidation of vehicular pollutants, perovskite photovoltaic materials, photocatalytic hydrogen peroxide production, carbon dioxide utilization, and sustainable catalyst development. She has contributed to national and international collaborative projects, secured competitive research funding, supervised academic activities, and received international fellowships including the Fulbright Visiting Scholar Award. These achievements collectively demonstrate significant contributions to modern materials science and chemical engineering research.[2]

Keywords

Catalysis, Nanomaterials, Perovskite Solar Cells, Environmental Engineering, Photocatalysis, Carbon Dioxide Utilization, Materials Science, Chemical Engineering, Sustainable Energy, Air Pollution Control.

Introduction

The Innovative Research Award recognizes researchers demonstrating sustained scientific productivity, research excellence, and measurable impact within their disciplines. Suverna Trivedi’s academic career reflects continuous advancement from catalytic emission control technologies toward broader applications involving renewable energy materials, photocatalysis, environmental sustainability, and advanced functional materials. Her research combines experimental investigation with practical engineering applications relevant to industrial and environmental challenges.[3]

Research Profile

  • Assistant Professor, IIT Kharagpur.
  • Former Assistant Professor, NIT Rourkela.
  • Fulbright Visiting Scholar at the University of California, Berkeley.
  • Research interests include catalysis, nanomaterials, perovskite photovoltaics, photocatalysis, emission control, and environmental remediation.
  • Principal Investigator and Co-Principal Investigator for multiple funded national and international research projects.[3]

Research Contributions

Her research has advanced catalytic oxidation systems for reducing carbon monoxide and methane emissions from compressed natural gas vehicles while simultaneously contributing to next-generation perovskite solar cell engineering, carbon dioxide photoreduction, photocatalytic wastewater treatment, defect-engineered photocatalysts, and multifunctional nanomaterials. Her collaborative research has also addressed atmospheric monitoring, electrochemical characterization, vibration isolation materials, and sustainable catalyst development.[4]

Publications

Suverna Trivedi has authored and co-authored more than thirty internationally indexed research publications covering catalysis, materials science, renewable energy, and environmental engineering. Representative publications include studies in AIChE Journal, Journal of Materials Chemistry A, Renewable and Sustainable Energy Reviews, ACS Applied Energy Materials, ACS Omega, Journal of Colloid and Interface Science, Industrial & Engineering Chemistry Research, Environmental Science and Pollution Research, and related journals.[5]

  • AIChE Journal (2018)
  • Renewable and Sustainable Energy Reviews (2021)
  • ACS Omega (2021)

Research Impact

Suverna Trivedi has accumulated over 1,100 citations with an h-index of 18 and more than thirty indexed publications. Her work has attracted international collaborations through Fulbright, BRICS, and Indo-Poland scientific exchange initiatives while contributing to funded projects addressing clean energy, emission control, climate technologies, and sustainable materials engineering. Her academic service additionally includes editorial responsibilities, peer review, conference organization, invited lectures, and professional society memberships.[5]

Award Suitability

Based on her documented academic achievements, research productivity, funded projects, international collaborations, publication record, scientific leadership, and sustained contributions to materials science and chemical engineering, Suverna Trivedi demonstrates qualifications consistent with consideration for the Innovative Research Award. Her multidisciplinary research addresses scientific challenges involving sustainable energy systems, advanced materials, environmental remediation, and catalytic engineering while supporting technological innovation and academic development.[4]

Conclusion

Suverna Trivedi’s academic profile reflects continuous contributions to catalysis, nanomaterials, renewable energy technologies, and environmental engineering. Through internationally recognized publications, collaborative research, competitive funding, scientific outreach, and educational leadership, she has established a significant research presence within the broader field of materials science and sustainable engineering.[2][3]

References

  1. Elsevier. Scopus Author Details: Suverna Trivedi, Author ID 57208153318.
    https://www.scopus.com/authid/detail.uri?authorId=57208153318
  2. Trivedi S. et al. (2020). Suppressing recombination in perovskite solar cells via surface engineering of TiO2 ETL.
    https://www.sciencedirect.com/science/article/pii/S0038092X193128003-4697-7338
  3. Trivedi S. et al. (2021). Metal halide perovskites for energy storage applications.
    https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/ejic.202100015
  4. Trivedi S. et al. (2021). Development of All-Inorganic Lead Halide Perovskites for Carbon Dioxide Photoreduction.
    https://doi.org/10.1016/j.rser.2021.111047
  5. Trivedi S. et al. (2020). A review of aspects of additive engineering in perovskite solar cells.
    https://pubs.rsc.org/en/content/articlehtml/2019/ta/c9ta07657c