Ayyanar C | Composite Materials Science | Young Researcher Award

Young Researcher Award

Ayyanar C — Assistant Professor, PSN Institute of Technology and Science, India

Ayyanar C
Affiliation PSN Institute of Technology and Science
Country India
Scopus 60108313500
Documents 12
Citations 38
h-index 4
Subject Area Composite Materials Science
Event International Research Awards on Fiberreinforced Polymer
ORCID 0000-0001-6158-4159

Ayyanar C is an Indian mechanical engineer and materials researcher affiliated with the PSN Institute of Technology and Science, whose work centres on polymer composites, self-healing materials, and simulation-based analysis. This article presents his academic profile in connection with the Young Researcher Award at the International Research Awards on Fiberreinforced Polymer. [1]

Abstract

Ayyanar C is a mechanical engineering researcher and educator with more than six years of teaching experience and over two years of research experience in polymer and composite materials. He holds a doctorate in mechanical engineering from the SRM Institute of Science and Technology, where his work examined the self-healing efficiency of encapsulated polydimethylsiloxane (PDMS) composites. His interests include material synthesis, mechanical and structural characterization, molecular dynamics simulation, and numerical analysis of composite structures. Bibliographic data indicate 12 indexed documents and 38 citations [1].

Keywords

Composite materials; polymer composites; self-healing materials; polydimethylsiloxane; hydroxyapatite; molecular dynamics simulation; creep behaviour; nano coating; mechanical characterization; fiber-reinforced polymers.

Introduction

Fiber-reinforced and polymer-matrix composites are widely studied for their favourable balance of strength, weight, and durability across structural, energy, and biomedical applications. Within this field, Ayyanar C has contributed experimental and simulation-based studies on the mechanical behaviour, damage recovery, and surface modification of engineered materials. His published record spans creep analysis of aluminium alloys [2], nano coating of cast aluminium alloys [3], and graphene-modified self-healing composites [4].

Research Profile

Ayyanar C is an Assistant Professor at the PSN Institute of Technology and Science, Tirunelveli, with roles at CSIR-SERC, Ondezx Groups, and SRM Institute of Science and Technology. His Scopus profile lists 12 documents, 38 citations, and an h-index of 4 in composite materials science, alongside simulation and CAD skills [1].

Research Contributions

His doctoral research examined self-healing in encapsulated polymer composites, combining material synthesis, experimental characterization, fracture analysis, and molecular dynamics simulation [4]. His contributions include graphene and hydroxyapatite studies on PDMS composites [4], creep modelling of aluminium alloy 6061-T6 [2], and SiC and Ni-P nano coatings on LM25 alloy [3].

Publications

Ayyanar C’s publications include creep strain analysis of aluminium alloy 6061-T6 [2], electroless SiC and Ni-P nano coating of LM25 alloy [3], and the effect of graphene on self-healing hydroxyapatite/PDMS composites [4]. His Scopus profile lists twelve documents in total [1].

Research Impact

According to Scopus, his work has received 38 citations with an h-index of 4 across 12 documents [1]. His paper on graphene-modified self-healing composites appeared in Materials and Manufacturing Processes [4], and his creep and coating studies appeared in Materials Today: Proceedings [2][3]. He has also served as a reviewer for Elsevier and Springer journals.

Award Suitability

The Young Researcher Award at the International Research Awards on Fiberreinforced Polymer recognizes emerging composite materials research. Ayyanar C’s profile includes self-healing polymer composite studies [4], 12 documents, 38 citations, and an h-index of 4 [1], plus peer-reviewed work on creep and coatings [2][3].

References

  1. Elsevier. (n.d.). Scopus author details: Ayyanar, C., Author ID 60108313500. Scopus. https://www.scopus.com/authid/detail.uri?authorId=60108313500
  2. Ayyanar, C., Suresh, M., ArunRaj, P. V., & Rajmadhan, M. (2018). Modeling and creep strain analysis of aluminum alloy 6061-T6 by creep tensile test. Materials Today: Proceedings, 5(6), 14345–14354. https://doi.org/10.1016/j.matpr.2018.03.018
  3. Vetrivezhan, P., Ayyanar, C., Arunraj, P. V., Vasanthkumar, P., & Ganesan, D. (2021). Electroless deposition of aluminium alloy LM25 by SiC and Ni-P nano coating. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.11.280
  4. Ayyanar, C., & Pramanik, S. (2023). Effect of graphene on self-healing performance of hydroxyapatite/polydimethysiloxane composites. Materials and Manufacturing Processes, 38(9), 1068–1080. https://doi.org/10.1080/10426914.2022.2146714

Narges Raeisi | FRP for Water Management | Best Academic Researcher Award

Best Academic Researcher Award

Narges Raeisi — São Paulo State University, Brazil

Narges Raeisi
Affiliation São Paulo State University
Country Brazil
Google Scholar ID HCj5dMIAAAAJ
Documents 16
Citations 106
h-index 6
Subject Area FRP for Water Management
Event Fiber-Reinforced Polymer
Scopus 56826018900

Narges Raeisi is a hydraulic engineering researcher at São Paulo State University, Brazil, nominated for the Best Academic Researcher Award. Her work addresses experimental hydraulics, sediment transport, local scour and water resources assessment.[1]

Abstract

This article summarises the academic profile of Narges Raeisi, whose research combines laboratory hydraulics, sediment dynamics and environmental water assessment. Her studies examine flow structures around bridge piers, scour countermeasures and basin-scale water quality planning.[2][3] Her recent work extends to computational modelling of flocculation and sedimentation in water treatment.

Keywords

Experimental hydraulics; bridge pier scour; sediment transport; local scour countermeasures; flow–structure interaction; hydraulic modelling; water quality planning; water resources management; water and wastewater treatment; applied hydraulic engineering research.

Introduction

Narges Raeisi received her B.Sc. and M.Sc. in Agricultural Engineering and her Ph.D. in Water Structures Engineering from Shahid Chamran University of Ahvaz, Iran. She later held a visiting scholar position at the Technical University of Vienna, where she studied bluff-body flows and flow-induced erosion. From 2022 to 2023 she was a research fellow at São Paulo State University, focusing on water and wastewater treatment.[1]

Research Profile

Her profile lists 16 documents, 106 citations and an h-index of 6.[1] Her expertise includes velocity measurement with acoustic Doppler instruments, controlled flume experiments and numerical simulation with HEC-RAS, Flow-3D and ANSYS Fluent. She also has professional experience in irrigation network design and project control for water infrastructure.

Research Contributions

Narges Raeisi’s research contributions span local scour mitigation, environmental assessment of scour processes, basin-scale water quality planning and data-driven scour prediction. She developed and evaluated asymmetric-lattice and netted collars as countermeasures against local scour around bridge piers.[3] She also examined the influence of pier diameter on maximum scour depth and its environmental implications.[4] In the field of water resources, she applied the QUAL2Kw model to assess surface water resources in the Maroon and Jarahi Basin, Iran.[2] In addition, she compared artificial neural network and ANFIS methods for predicting scour depth in sand beds.[5]

Publications

Narges Raeisi has published peer-reviewed journal articles in Water, Water Supply, SN Applied Sciences and the Iranian Journal of Science and Technology. Her work addresses bridge pier scour, scour countermeasures and surface water quality planning. She has also presented at several national conferences on scour and irrigation project performance.[2][3]

Research Impact

Narges Raeisi’s scour research contributes to safer bridge foundation design by evaluating practical countermeasures under controlled hydraulic conditions. Her water quality modelling supports informed basin-level planning and resource management. With 106 citations and an h-index of 6, her record reflects steady scholarly engagement within hydraulic and environmental engineering.[1]

Award Suitability

Narges Raeisi’s nomination for the Best Academic Researcher Award is supported by several aspects of her academic record. She has maintained a consistent record of peer-reviewed publications in hydraulic and environmental engineering.[1] Her international research experience in Austria and Brazil reflects active engagement with the global research community. She combines experimental and numerical expertise in water engineering, as shown in her work on scour and water quality modelling.[2][3] Her academic distinctions include a national scholarship awarded in 2019 to support her visiting research in Vienna.

Conclusion

Narges Raeisi’s work links laboratory experimentation, numerical modelling and applied water management across hydraulic and environmental engineering. Her research on bridge pier scour, scour countermeasures and surface water quality planning reflects sustained scholarly engagement. Her academic record is relevant to the award’s focus on water-related engineering research.[1]

References

  1. Narges Raeisi, Google Scholar profile. https://scholar.google.com/citations?hl=en&user=HCj5dMIAAAAJ
  2. Raeisi, N., Moradi, S., & Scholz, M. (2022). Surface water resources assessment and planning with the QUAL2Kw model: A case study of the Maroon and Jarahi Basin (Iran). Water, 14(5), 705. https://doi.org/10.3390/w14050705
  3. Raeisi, N., & Ghomeshi, M. (2022). A laboratory study of the effect of asymmetric-lattice collar shape and placement on scour depth and flow pattern around a bridge pier. Water Supply, 22(1), 734–748. https://doi.org/10.2166/ws.2021.239
  4. Raeisi, N., & Ghomeshi, M. (2020). Effect of bridge pier diameter on maximum depth of scour impacts on the environment. SN Applied Sciences, 2(11), 1794. https://link.springer.com/article/10.1007/s42452-020-03565-6
  5. Raeisi, N., Mahdavi Meymand, A., & Akbarizadeh, G. (2015). Scour depth prediction in sand beds using artificial neural networks and ANFIS methods. Indian Journal of Science and Technology. https://www.academia.edu/download/97556018/59896.pdf