Sandhiyadevi P | Agricultural Robot Applications | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Sandhiyadevi P
Nandha Engineering College, India

Sandhiyadevi P
Affiliation Nandha Engineering College
Country India
Scopus ID 57216789347
Documents 13
Citations 119
h-index 4
Subject Area Agricultural Robot Applications
Event International Robotics and Automation Awards
ORCID 0009-0005-3298-4002

Sandhiyadevi P is presented in this academic recognition profile as a researcher affiliated with Nandha Engineering College, India, whose stated subject area is agricultural robot applications. The profile brings together the supplied researcher identifiers, bibliometric indicators, and research interests in the context of the International Robotics and Automation Awards. Author-specific publication details and individual research findings should be confirmed against the linked scholarly records before publication.
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Abstract

This article presents an academic recognition profile for Sandhiyadevi P of Nandha Engineering College, India, in the subject area of agricultural robot applications. The supplied profile records a Scopus author identifier, an ORCID identifier, and bibliometric figures of 13 documents, 119 citations, and an h-index of 4. These indicators provide a preliminary overview of scholarly output and citation activity but do not independently establish research quality. Assessment of research contributions requires examination of verified publications, methodological rigor, originality, reproducibility, and practical relevance to agricultural automation.
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Keywords

Innovative Research; Sandhiyadevi P; Agricultural Robotics; Agricultural Automation; Robotics Applications; Intelligent Farming; Research Impact; Scholarly Publications; Citation Analysis; International Robotics and Automation Awards.

Introduction

Agricultural robotics integrates engineering, automation, sensing, and intelligent control to address challenges in modern farming. Research in this area can support precision operations, improve resource management, and reduce repetitive manual work. This profile introduces Sandhiyadevi P and the stated research area of agricultural robot applications, with scholarly identity and publication indicators serving as starting points for further evaluation.
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Research Profile

Sandhiyadevi P is affiliated with Nandha Engineering College in India, according to the supplied information. The stated subject area, agricultural robot applications, connects engineering research with technology-assisted agricultural practices. The provided Scopus and ORCID identifiers offer routes for checking author identity, publication records, and research outputs. Individual research specializations should be established from verified publications.
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Research Contributions

Agricultural robot applications offer opportunities to investigate automated crop monitoring, field navigation, targeted operations, and agricultural task assistance. These areas require reliable sensing, control systems, environmental adaptability, and practical validation. Sandhiyadevi P’s specific contributions should be described using verified publications and documented project outcomes. Without those records, these topics represent relevant disciplinary contexts rather than confirmed individual achievements.
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Publications

The supplied Scopus profile information reports 13 documents associated with the researcher. This figure should be checked against the current author record because database coverage and author attribution can change. A complete publication list should include verified titles, co-authors, publication years, journal or conference names, and DOI links where available. Individual publications are not listed here because their bibliographic details have not been independently established.
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Research Impact

The supplied bibliometric figures indicate 119 citations and an h-index of 4. These measures can help describe citation visibility and publication influence, but they vary with discipline, career stage, database coverage, and publication age. A balanced impact assessment should also examine research originality, methodological reliability, collaboration, practical adoption, and documented benefits for agricultural technology and its users.
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Award Suitability

The International Robotics and Automation Awards provides the stated recognition context for this profile. Agricultural robot applications may be relevant to an innovation-focused award when supported by evidence of originality, technical merit, research quality, and practical significance. Sandhiyadevi P’s eligibility and suitability should be assessed using verified publications, documented contributions, and the event’s official evaluation criteria. This profile does not constitute confirmation of selection or an award decision.
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Conclusion

This profile summarizes the supplied academic identifiers, institutional affiliation, research area, and bibliometric indicators for Sandhiyadevi P. Agricultural robotics is a relevant field for studying engineering-led improvements in farming systems. A reliable assessment of individual achievement should combine verified scholarly records with evidence of originality, research quality, and practical outcomes. Further validation will strengthen the profile’s accuracy and usefulness for academic recognition.
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References

  1. Strategic blending of agricultural residues for high-performance biomass fuels: multi-parameter evaluation of energy efficiency and emission characteristics.
    https://link.springer.com/article/10.1007/s13399-026-07222-7

  2. IoT-enabled AI-driven smart agriculture system for cost-optimized controlled environment mushroom farming.
    https://link.springer.com/article/10.1007/s10751-026-02739-9

  3. Sustainable turmeric drying: balancing moisture removal, energy efficiency, and bioactive compound retention.
    https://link.springer.com/article/10.1007/s10751-026-02743-z

Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

Published on by Robotics and Automation

Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

Harbin Institute of Technology | China

Dr. Maria Muzamil Memon is a dedicated researcher and postdoctoral fellow at the Harbin Institute of Technology, China, specializing in micro-electro-mechanical systems , microfluidics, and flexible sensor technologies. she earned her Phd in electronic engineering from the university of electronic science and technology of China, where she focused on aln-based surface acoustic wave sensors and significantly improved pressure sensitivity through innovative structural design, validated via comsol-based finite element analysis. Her academic journey includes a master’s degree in mechanical engineering from Harbin institute of technology and a bachelor’s degree in electronics engineering from Mehran University of engineering and technology. Throughout her career, she has worked extensively on microfluidic chip fabrication, biomedical device development, and multiphysics simulations, Robotics while also supervising undergraduate and postgraduate students. Dr. Memon has received multiple prestigious awards, including several academic achievement and excellent performance awards from UESTC, and she is a two-time recipient of the Chinese government scholarship. her research impact is reflected in 141 citations, an h-index of 7, and 6 documented publications, i10-index, demonstrating her growing influence in the fields of mems sensors, sensing materials, and microfluidic systems.

Profile: Google Scholar

Featured Publications

Memon, M. M., Liu, Q., Manthar, A., Wang, T., & Zhang, W. (2023). Surface acoustic wave humidity sensor. Micromachines, 14(5), 945.

Memon, M. M., Hongyuan, Y., Pan, S., Wang, T., & Zhang, W. (2022). Surface acoustic wave humidity sensor based on hydrophobic polymer film. Journal of Electronic Materials, 51(10), 5627–5634.

Memon, M. M., Pan, S., Wan, J., Wang, T., & Zhang, W. (2021). Highly sensitive thick diaphragm-based surface acoustic wave pressure sensor. Sensors and Actuators A: Physical, 331, 112935.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

Published on by Robotics and Automation

Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

Mugla Sitki Kocman University | Turkey

Dr. Gokhan Guven is a Ph.D. Candidate in the department of curriculum and instruction at Mugla Sitki Kocman University, turkey, specializing in science education under the supervision of dr. yusuf sulun. he earned his bachelor’s degree in elementary science education from pamukkale university and completed his master’s in science education at mugla sitki kocman university, where his thesis focused on preservice elementary teachers’ reflection journal writing and epistemological beliefs in science and technology laboratory applications. Currently pursuing his doctoral studies in science education, dr. guven’s research interests include energy education, science teacher education, and science laboratory applications. throughout his academic career, he has served as a teaching assistant in various laboratory-based courses, including general biology, general physics, Robotics and general chemistry, contributing significantly to hands-on science instruction and pedagogy. his scholarly contributions have garnered 179 citations across 12 documents, with an h-index of 7, reflecting the impact and recognition of his research within the scientific and educational community. fluent in both english and turkish, Dr. guven continues to advance his research and academic pursuits, focusing on enhancing the quality and effectiveness of science education at both theoretical and practical levels.

Profiles: Scopus | Orcid

Featured Publications

Güven, G., Orhan Özen, S., & Şarlakkaya, K. (2025). Virtual reality applications integrated into the 5E learning model in environmental topics in science education. Research in Science & Technological Education. Advance online publication.

Kozcu Cakir, N., & Guven, G. (2025). Enhancing engineering design, scientific creativity, and decision-making skills in prospective science teachers through engineering design-based robotics coding applications. Research in Science & Technological Education. Advance online publication.

Güven, G., & ÖzüneL, Y. (2023). Arduino destekli robotik kodlama etkinlikleri ile ilkokul 2. sınıf doğal afetler konusunun öğretimi. Ege Bilimsel Araştırmalar Dergisi.

Güven, G., & Göçen Kabaran, G. (2023). Yenilenebilir enerji eğitimine yönelik bir öğretim tasarımı geliştirme ve değerlendirme. Eğitim Teknolojisi Kuram ve Uygulama.

Guven, G., Kozcu Cakir, N., Sulun, Y., Cetin, G., & Guven, E. (2022). Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching. Journal of Research on Technology in Education, 54(1), 1–20.