Md Shahwaz | Superalloys | Innovative Research Award

Published on by Metallurgical Engineering

Innovative Research Award

Md Shahwaz
Indian Institute of Technology Kharagpur, India
Md Shahwaz
Affiliation Indian Institute of Technology Kharagpur
Country India
Scopus ID 57204051254
Documents 5
Citations 309
h-index 3
Subject Area Superalloys
Event Metallurgical Engineering Awards
ORCID 0009-0005-9510-9512

Md Shahwaz is a researcher affiliated with the Indian Institute of Technology Kharagpur, India, whose documented research profile includes work in the field of superalloys. His academic record comprises five Scopus-indexed documents and 309 citations, with a reported h-index of 3. The profile provides a bibliometric basis for considering his research activity in the context of the Innovative Research Award associated with the Metallurgical Engineering Awards.

Abstract

This academic recognition profile presents the research record of Md Shahwaz, affiliated with the Indian Institute of Technology Kharagpur, India, with a stated subject specialization in superalloys. According to the supplied Scopus profile information, his research output includes five indexed documents, 309 citations, and an h-index of 3. These indicators provide a quantitative overview of the visibility and citation activity associated with his indexed scholarly work. [1]

Superalloy research is relevant to metallurgical and materials engineering because these alloys are designed to retain useful mechanical and chemical properties under demanding service conditions, including elevated temperatures and corrosive environments.[2]

Keywords

Md Shahwaz; Innovative Research Award; superalloys; metallurgical engineering; materials science; high-temperature materials; alloy development; microstructure; mechanical properties; Indian Institute of Technology Kharagpur.

Introduction

Superalloys constitute an important class of advanced engineering materials developed for applications in which high-temperature strength, structural stability, oxidation resistance, and environmental durability are required. Their development involves the relationship between alloy chemistry, processing conditions, microstructure, phase constitution, and service performance. [2]

Within this research landscape, academic investigations may address topics such as precipitation strengthening, phase transformations, grain structure, deformation mechanisms, oxidation, corrosion, manufacturing routes, and the optimization of alloy properties. The study of such relationships supports the broader objective of designing materials capable of maintaining performance under demanding operating conditions. [3]

Research Profile

The supplied Scopus record identifies Md Shahwaz with Author ID 57204051254. The profile contains five documents and 309 citations, with an h-index of 3. [1] These values represent bibliometric indicators associated with the indexed author record and should be interpreted in the context of publication date, field-specific citation practices, database coverage, and author-profile accuracy. [4]

Research Contributions

Based on the supplied subject classification, Md Shahwaz’s research profile is associated with superalloys. The broader contribution of research in this field lies in understanding and controlling the relationships between alloy chemistry, processing, microstructure, and performance. Such work is relevant to the development and assessment of materials intended for high-temperature and demanding engineering environments. [2]

Publications

The supplied profile reports five Scopus-indexed documents associated with Md Shahwaz. [1] The individual publication titles, journal information, publication years, authorship order, and DOI identifiers should be verified against the original bibliographic records before being reproduced as a complete publication list. [1] [5]

Research Impact

The reported 309 citations indicate that the documents associated with the supplied Scopus author record have received citations within the indexed scholarly literature. [1] Citation counts are quantitative indicators rather than direct measures of research quality, and their interpretation should account for disciplinary norms, publication age, database coverage, and the context in which citations are made. [3]

Award Suitability

The Innovative Research Award is presented here as an academic recognition category within the Metallurgical Engineering Awards. On the basis of the supplied information, Md Shahwaz’s stated specialization in superalloys and documented indexed research activity provide a subject-matter connection with metallurgical engineering and advanced metallic materials.

Conclusion

Md Shahwaz is identified in the supplied information as a researcher affiliated with the Indian Institute of Technology Kharagpur and working in the subject area of superalloys. His reported Scopus profile comprises five documents, 309 citations, and an h-index of 3. [1] These indicators establish a documented level of indexed research activity, while the stated specialization connects the profile with an important area of metallurgical and materials engineering.

References

  1. Elsevier. (n.d.). Scopus author details: Md Shahwaz, Author ID 57204051254. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204051254
  2. M Shahwaz, P Nath, I Sen. (2022). A critical review on the microstructure and mechanical properties correlation of additively manufactured nickel-based superalloys.
    https://www.sciencedirect.com/science/article/abs/pii/S0925838822009215
  3. M Shahwaz, P Nath, I Sen. (2025). Recent advances in additive manufacturing technologies for Ni-Based Inconel superalloys–A comprehensive review.
    https://www.sciencedirect.com/science/article/pii/S0925838824042427
  4. M Shahwaz, MN Dogu, et al. (2026). Microstructural evolution and mechanical behavior of additively manufactured IN939 superalloy at room and elevated temperatures.
    https://www.sciencedirect.com/science/article/pii/S0925838826000174
  5. MK Yadav, TK Bandyopadhyay, M Shahwaz. (2021). FRICTION STIR WELDING OF SIMILAR AND DISSIMILAR METALS: A REVIEW.
    https://books.aijr.org/index.php/press/catalog/book/108/chapter/803

 

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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Suleyman Sukuroglu | Corrosion Resistance Alloy | Best Academic Researcher Award

Published on by Metallurgical Engineering

Mr. Suleyman Sukuroglu | Corrosion Resistance Alloy | Best Academic Researcher Award

Assistant Professor at Gumushane University | Turkey

Mr. Suleyman Sukuroglu is a materials and surface engineering researcher whose work centers on advanced coating technologies, particularly micro-arc oxidation (MAO) and plasma electrolytic oxidation (PEO), applied to lightweight structural alloys such as magnesium, aluminum, titanium, and NiTi. With 149 citations, 12 Scopus-indexed publications, and an h-index of 7, he has contributed substantially to understanding and improving the mechanical, corrosion, wear, adhesion, tribocorrosion, and biocompatibility properties of ceramic and nanocomposite coatings. His studies involve the incorporation of functional nanoparticles-including TiB₂, ZnO, h-BN, graphene oxide, Ag, MoS₂, and sodium pentaborate-into oxide layers to enhance structural stability and multifunctional performance. He has published high-quality research demonstrating improvements in coating morphology, oxide layer integrity, and interfacial adhesion, contributing to the advancement of durable and corrosion-resistant surfaces for both industrial and biomedical applications. His work on NiTi shape-memory alloys and WE43 magnesium alloys has expanded knowledge on biocompatible coatings, corrosion control, and surface modification strategies for engineering systems. His research output appears in respected international journals such as Materials Today Communications, Journal of Adhesion Science and Technology, Applied Physics A, Arabian Journal for Science and Engineering, and multiple materials science conference proceedings. He has also contributed to national research projects involving tribological optimization, nanoparticle-reinforced oxide layers, and coating performance evaluation under challenging environments. Through sustained scientific output, a clear thematic research focus, and contributions to materials characterization and surface technologies, he has established a recognized academic profile within the fields of metallurgical engineering and surface modification science.

Profiles : Scopus | ORCID

Featured Publications

Belet, A. K., Şüküroğlu, S., & Şüküroğlu, E. E. (2025). Investigation of structural and adhesion properties of ZnO and h-BN doped TiO₂ coatings on Cp–Ti alloy. Journal of Adhesion Science and Technology.

Şüküroğlu, S. (2025). Characterization, corrosion, adhesion and wear properties of Al₂O₃ and Al₂O₃:TiB₂ composite coating on Al 7075 aluminum alloy by one-step micro-arc oxidation method. Materials Today Communications.

Şüküroğlu, S., Şüküroğlu, E. E., Totik, Y., Gülten, G., Efeoğlu, İ., & Avcı, S. (2024). Corrosion and adhesion properties of MAO-coated LA91 magnesium alloy. Materials Science and Technology.

Şüküroğlu, S., Totik, Y., Şüküroğlu, E. E., & Avcı, S. (2024). Investigation of corrosion properties of LA-91 alloy coated with MAO method. Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C.

Şüküroğlu, S. (2023). Al 2024 alaşımı üzerine mikro ark oksidasyon yöntemiyle B4C ilaveli kompozit kaplamaların büyütülmesi. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi.