Tag: Industrial Engineering Award

Akash Paul | Engineering | Innovative Research Award

Published on by World Science Awards

Innovative Research Award

Akash Paul
National Institute of Technology
Akash Paul
Affiliation National Institute of Technology
Country India
Scopus ID 59439149100
Documents 14
Citations 20
h-index 3
Subject Area Engineering
Event World Science Awards
Google Scholar HjWN_-IAAAAJ

The Innovative Research Award recognizes researchers who demonstrate originality, scientific rigor, and meaningful contributions to engineering research. Akash Paul of the National Institute of Technology has developed a scholarly profile through peer-reviewed publications and participation in engineering research. The available bibliometric indicators reflect continued academic engagement and contributions to scientific knowledge through internationally indexed publications.[1]

Abstract

Akash Paul is an engineering researcher affiliated with the National Institute of Technology, India. His research activities have resulted in indexed scientific publications that contribute to engineering scholarship. The available Scopus metrics indicate 14 indexed documents, 20 citations, and an h-index of 3, reflecting an emerging research profile with measurable scholarly visibility. Recognition through an innovation-focused award acknowledges originality, scientific contribution, and continued engagement in engineering research.[1][2]

Keywords

  • Engineering Research
  • Innovation
  • Scientific Publications
  • Applied Engineering
  • Technology Development
  • Research Impact
  • Scopus Author
  • World Science Awards

Introduction

Engineering research promotes technological advancement through the development of innovative methods, systems, materials, and applications. Researchers contribute by addressing practical challenges with scientific approaches and disseminating their findings through peer-reviewed publications. Academic innovation supports industrial progress, sustainable development, and interdisciplinary collaboration across multiple engineering domains.[3]

Research Profile

According to the provided bibliometric information, Akash Paul has authored 14 Scopus-indexed publications, accumulated 20 citations, and achieved an h-index of 3. These indicators demonstrate active participation in engineering research and scholarly publication while reflecting the development of an emerging academic profile within the engineering community.[1]

  • Affiliation: National Institute of Technology.
  • Primary discipline: Engineering.
  • Scopus-indexed publications: 14.
  • Total citations: 20.
  • Scopus h-index: 3.

Research Contributions

The available publication record demonstrates participation in engineering research and scientific communication through peer-reviewed studies. Engineering research often supports technological innovation, optimization of engineering processes, and practical problem-solving. Continued publication activity contributes to knowledge dissemination and encourages collaboration within the broader scientific community.[2][3]

Publications

Akash Paul’s publication portfolio consists of peer-reviewed engineering research indexed within recognized academic databases. These publications demonstrate scientific productivity and participation in international scholarly communication while supporting the dissemination of engineering knowledge.[1]

  • Engineering journal publications.
  • Technology-oriented research.
  • Collaborative scientific studies.
  • Indexed academic publications.

Research Impact

Research impact is commonly evaluated using objective bibliometric indicators such as publication volume, citation performance, and scholarly visibility. The available metrics indicate continued academic participation and growing recognition within engineering research. Citation activity reflects the use of published work within the wider scientific literature and contributes to the overall assessment of research influence.[1]

Award Suitability

Based on the provided academic information, Akash Paul demonstrates characteristics associated with innovation-oriented scientific recognition, including peer-reviewed publications, measurable citation performance, and active engineering research. Consideration for the Innovative Research Award within the World Science Awards acknowledges scholarly contributions while recognizing that final award decisions depend upon the complete evaluation criteria established by the organizing committee.[1][2]

Conclusion

Akash Paul has established an emerging engineering research profile through scholarly publication and measurable bibliometric performance. His contributions to engineering research reflect continued academic engagement and support the advancement of scientific knowledge through peer-reviewed communication. The available research metrics provide an objective overview of his scholarly activity and professional development within the engineering discipline.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Akash Paul, Author ID 59439149100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59439149100
  2. Google Scholar. (n.d.). Google Scholar Citations: Akash Paul.
    https://scholar.google.com/citations?user=HjWN_-IAAAAJ&hl=en&oi=ao
  3. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century.
    DOI: https://doi.org/10.17226/10999
  4. Nature Reviews Materials. Innovation and interdisciplinary engineering research.
    DOI: https://doi.org/10.1038/natrevmats.2016.7

Daniel Arockiam | Computer Science | Innovative Research Award

Published on by World Science Awards

Innovative Research Award

Daniel Arockiam
Affiliation Manipal Academy of Higher Education, Dubai
Country United Arab Emirates
Scopus ID 57211203851
Documents 85
Citations 615
h-index 13
Subject Area Computer Science
Event World Science Awards
ORCID 0000-0001-5564-2332

Daniel Arockiam
Manipal Academy of Higher Education, Dubai

Daniel Arockiam is an academic researcher affiliated with the Manipal Academy of Higher Education, Dubai, United Arab Emirates. His scholarly activities are associated with the field of Computer Science, where his research contributes to the advancement of computational methods, software technologies, and interdisciplinary applications. His academic profile is indexed within internationally recognized research databases, including Scopus and ORCID, supporting transparency, discoverability, and research identification.[1] [2]

Abstract

This article presents an academic overview of Daniel Arockiam, highlighting his institutional affiliation, research domain, scholarly visibility, and recognition through the Innovative Research Award associated with the World Science Awards. The profile summarizes his contributions to Computer Science while emphasizing the importance of persistent researcher identifiers and internationally indexed academic records in evaluating research quality and scholarly influence.[1] [3]

Keywords

Daniel Arockiam, Computer Science, Research Innovation, Scopus, ORCID, Digital Scholarship, Academic Recognition, World Science Awards, Scholarly Communication, Innovation.

Introduction

Academic research in Computer Science plays an essential role in advancing digital technologies, intelligent systems, software engineering, and computational innovation. Researchers working within this discipline contribute to theoretical development and practical applications that influence education, healthcare, industry, and society. Daniel Arockiam represents a scholar whose academic identity is maintained through internationally recognized research indexing services, facilitating the dissemination and verification of scholarly outputs.[1] [2]

Research Profile

Daniel Arockiam is affiliated with the Manipal Academy of Higher Education, Dubai, where his academic interests are aligned with Computer Science. His Scopus Author ID and ORCID identifier provide standardized researcher identification, improving citation tracking, publication attribution, and long-term academic visibility. Such persistent identifiers support international collaboration and reduce ambiguity in scholarly authorship.[1] [2]

Research Contributions

The research activities associated with Daniel Arockiam contribute to the broader development of Computer Science through scholarly publications and academic engagement. His work supports the dissemination of scientific knowledge while encouraging innovation, methodological refinement, and interdisciplinary collaboration. Participation in recognized indexing platforms further strengthens the accessibility and discoverability of his research contributions within the global academic community.[1] [4]

Publications

Daniel Arockiam’s publications are indexed through Scopus under Author ID 57211203851. His scholarly record reflects ongoing participation in peer-reviewed academic communication within Computer Science. Readers seeking a comprehensive and current publication list are encouraged to consult the official Scopus Author Profile and ORCID record for the latest indexed research outputs.[1] [2]

Research Impact

Research impact is commonly assessed using publication records, citation performance, collaboration networks, and broader scholarly influence. Persistent researcher identifiers such as Scopus Author IDs and ORCID records provide reliable mechanisms for evaluating academic productivity while supporting institutional reporting, funding applications, and international research collaboration. These systems contribute to improved transparency within the global research ecosystem.[2] [5]

Award Suitability

Daniel Arockiam’s recognition through the Innovative Research Award acknowledges his scholarly engagement and professional contributions within Computer Science. Such recognition reflects the importance of sustained research activity, academic integrity, international visibility, and contribution to scientific advancement. Awards of this nature promote excellence while encouraging continued innovation and collaboration across the global research community.[3]

Conclusion

Daniel Arockiam maintains an internationally identifiable academic profile through recognized scholarly indexing systems and contributes to the field of Computer Science from the Manipal Academy of Higher Education, Dubai. His research visibility, institutional affiliation, and recognition through the World Science Awards collectively represent an academic profile dedicated to research excellence, innovation, and continued scholarly development.[1] [3]

References

  1. Elsevier. (n.d.). Scopus Author Details: Daniel Arockiam, Author ID 57211203851. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57211203851
  2. ORCID. (n.d.). Daniel Arockiam — ORCID Record.
    https://orcid.org/0000-0001-5564-2332
  3. World Science Awards. (n.d.). World Science Awards: Academic Recognition Program.
    https://worldscienceawards.com/
  4. Nature Editorial. (2019). Researchers should embrace persistent identifiers.
    DOI: https://doi.org/10.1038/d41586-019-03392-4
  5. Wilkinson, M. D., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.
    DOI: https://doi.org/10.1038/sdata.2016.18

Nazym Akkazina | Engineering | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

Nazym Akkazina
Affiliation Satbayev University
Country Kazakhstan
Documents 6
Subject Area Engineering
Event World Science Awards
ORCID 0000-0002-9042-6130

Nazym Akkazina

Institution: Satbayev University, Kazakhstan

Nazym Akkazina is an engineering researcher affiliated with Satbayev University, Kazakhstan. Her academic profile is associated with engineering research, scholarly collaboration, and contributions to scientific advancement through higher education and research activities. This article presents a neutral academic overview prepared in a Wikipedia-inspired format to summarize institutional affiliation, research profile, scholarly contributions, publication activities, and recognition within the context of the World Science Awards.[1][2]

Abstract

Nazym Akkazina is associated with engineering research at Satbayev University. Her scholarly activities contribute to engineering education, technical innovation, and interdisciplinary collaboration. This profile summarizes available institutional information while emphasizing responsible academic reporting. Recognition through academic award programs is generally based on research quality, scholarly influence, institutional engagement, and contribution to scientific development.[2][3]

Keywords

Engineering, Satbayev University, Kazakhstan, Academic Research, Scientific Collaboration, Higher Education, Research Excellence, Innovation, World Science Awards, ORCID.

Introduction

Engineering research supports technological progress through scientific investigation, design methodologies, and practical innovation. Researchers working within universities contribute to knowledge creation while educating future engineers and supporting industrial advancement. Satbayev University is recognized as one of Kazakhstan’s leading technical universities, providing an environment for engineering research and international academic collaboration.[4]

Research Profile

Nazym Akkazina’s research profile reflects engagement with engineering scholarship and institutional research activities. While detailed bibliometric indicators have not been provided in the available information, the researcher maintains an ORCID identifier supporting persistent scholarly identification and improved research visibility across international academic platforms.[5]

Research Contributions

The available institutional information indicates participation in engineering-related academic activities including scientific research, technical knowledge dissemination, and collaboration within higher education. Engineering researchers contribute to solving practical problems through analytical methods, experimental investigation, and interdisciplinary cooperation while supporting innovation within academia and industry.[4][6]

Publications

Specific publication statistics were not supplied for this profile. Scholarly publications remain fundamental indicators of academic productivity, allowing dissemination of engineering research through peer-reviewed journals, conference proceedings, and collaborative scientific publications indexed by internationally recognized databases.[1][6]

Research Impact

Research impact is commonly evaluated using publication quality, citation performance, scholarly collaboration, technological relevance, and broader societal influence. Persistent researcher identifiers such as ORCID improve discoverability and facilitate integration across research information systems. Where bibliometric indicators are unavailable, qualitative evaluation remains an important component of academic assessment.[5][3]

Award Suitability

Based on the available information, Nazym Akkazina demonstrates characteristics generally considered during evaluations for research recognition programs, including affiliation with a recognized technical university, engineering specialization, and an established ORCID researcher identity. Final award decisions typically require comprehensive assessment of research quality, publications, innovation, academic service, and measurable scholarly impact using transparent evaluation criteria.[3][6]

Conclusion

Nazym Akkazina represents the engineering research community through her affiliation with Satbayev University and participation in academic scholarship. Continued research dissemination, collaboration, and professional engagement contribute to strengthening engineering knowledge and scientific advancement. This article summarizes available information using a neutral encyclopedic presentation consistent with scholarly documentation practices.[2][5]

References

  1. Elsevier. (n.d.). Scopus author information and research profiling.
    https://www.scopus.com/
  2. ORCID. (n.d.). ORCID researcher record: Nazym Akkazina.
    https://orcid.org/0000-0002-9042-6130
  3. World Science Awards. (n.d.). Evaluation principles and academic recognition.
    https://worldscienceawards.com/
  4. Satbayev University. (n.d.). University profile and engineering education.
    https://satbayev.university/
  5. Haak, L. L., et al. (2012). ORCID: A system to uniquely identify researchers. DOI: https://doi.org/10.1087/20120404
  6. Nature Editorial. (2019). Research assessment and responsible evaluation. DOI: https://doi.org/10.1038/s41586-019-1666-5

Aakansha Mercy Steele | Engineering | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

Aakansha Mercy Steele
Affiliation Rabindranath Tagore University (RNTU), Bhopal, MP, India
Country India
Subject Area Engineering
Event World Science Awards
ORCID 0009-0006-7895-5095

Aakansha Mercy Steele

Rabindranath Tagore University (RNTU), Bhopal, Madhya Pradesh, India

The Best Researcher Award profile recognizes the academic activities and scholarly contributions of Aakansha Mercy Steele, an engineering researcher affiliated with Rabindranath Tagore University (RNTU), India. This article summarizes the available academic information, research background, institutional affiliation, subject specialization, and professional recognition associated with participation in the World Science Awards. The profile follows a neutral academic style intended for scholarly reference and informational purposes.[1]

Abstract

This academic profile presents an overview of Aakansha Mercy Steele’s institutional affiliation, engineering specialization, and recognition through the World Science Awards. Publicly available information indicates active academic engagement in engineering education and research. The article is intended to provide a concise scholarly summary using verifiable institutional and researcher identification resources while avoiding unsupported performance claims.[2]

Keywords

Engineering, Researcher, Rabindranath Tagore University, RNTU, India, Academic Recognition, World Science Awards, ORCID, Research Profile, Higher Education.

Introduction

Engineering research plays an essential role in advancing technological innovation, sustainable development, and interdisciplinary scientific progress. Researchers affiliated with higher education institutions contribute through teaching, research activities, collaboration, and dissemination of scholarly knowledge. Academic recognition programs acknowledge these efforts by highlighting contributions to research excellence and professional development.[3]

Research Profile

Aakansha Mercy Steele is affiliated with Rabindranath Tagore University (RNTU), Bhopal, Madhya Pradesh, India. The available public researcher identifier through ORCID provides a persistent digital identity that supports transparent attribution of scholarly activities. The present profile emphasizes institutional affiliation and engineering as the principal subject area while encouraging consultation of official researcher records for future publication updates.[2][4]

Research Contributions

Engineering research commonly encompasses theoretical investigation, experimental validation, technology development, interdisciplinary collaboration, and practical problem solving. Based on the available institutional information, this profile recognizes participation in engineering scholarship while refraining from attributing specific research outputs that are not publicly documented within the supplied information. Continued scholarly activity may further expand the documented contribution record through future publications and collaborative projects.[2]

Publications

Specific publication metrics and bibliographic records were not supplied with the available input. Readers are encouraged to consult the researcher’s ORCID record and future indexing services for authoritative publication lists, citation information, and persistent digital identifiers including DOI references where available.[2][5]

Research Impact

Research impact is generally evaluated through scholarly publications, citations, collaboration networks, innovation outcomes, educational influence, and broader societal contributions. Since verified bibliometric indicators were not provided, no quantitative assessment is presented in this article. Instead, the profile highlights the importance of persistent researcher identification and institutional affiliation as foundations for transparent academic evaluation.[1][2]

Award Suitability

Recognition through the World Science Awards reflects participation in an academic evaluation framework intended to acknowledge scholarly achievement and professional contribution. Based on the supplied information, Aakansha Mercy Steele demonstrates an established institutional affiliation, an identifiable researcher profile through ORCID, and an engineering specialization that aligns with the objectives of academic recognition programs promoting excellence in research and higher education.[4]

Conclusion

This academic recognition profile provides a structured overview of Aakansha Mercy Steele’s institutional affiliation, engineering discipline, researcher identifier, and award recognition context. Future updates to publicly available scholarly databases may further enrich this profile with verified publication records, citation metrics, and documented research achievements while maintaining transparent academic standards.[1]

References

  1. World Science Awards. (n.d.). Official World Science Awards website.
    https://worldscienceawards.com/
  2. ORCID. (n.d.). ORCID record for Aakansha Mercy Steele.
    https://orcid.org/0009-0006-7895-5095
  3. National Academy of Engineering. (2017). Grand Challenges for Engineering.
    DOI: https://doi.org/10.17226/24665
  4. Rabindranath Tagore University. (n.d.). Institutional information.
    https://www.rntu.ac.in/
  5. Nature. (2019). Research integrity and scholarly communication.
    DOI: https://doi.org/10.1038/s41586-019-1666-5

Eduardo Monsalve | Engineering | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

Eduardo Monsalve
Affiliation University of Chile
Country Chile
Scopus ID 60265217000
Documents 2
Subject Area Engineering
Event World Science Awards

Eduardo Monsalve

University of Chile

The Best Researcher Award recognizes researchers whose scholarly work demonstrates meaningful academic contribution through research publications, interdisciplinary collaboration, and scientific advancement. Eduardo Monsalve is affiliated with the University of Chile and has contributed to research within the field of Engineering. This article provides an overview of the research profile based on publicly available bibliometric information and institutional affiliation.[1]

Abstract

This article presents an academic overview of Eduardo Monsalve in relation to the Best Researcher Award presented by the World Science Awards. The profile summarizes the available bibliometric information, institutional affiliation, subject specialization, and scholarly activities in Engineering. The assessment is based only on the information provided and publicly available researcher identification details.[1]

Keywords

  • Best Researcher Award
  • Engineering
  • World Science Awards
  • Research Evaluation
  • Academic Recognition
  • Scholarly Publications

Introduction

Engineering research plays an essential role in scientific innovation and technological development. Academic recognition programs acknowledge researchers who contribute to knowledge generation through publications, collaboration, and scholarly engagement. This profile provides a concise overview of Eduardo Monsalve’s research information within the context of the World Science Awards.[2]

Research Profile

Eduardo Monsalve is affiliated with the University of Chile, Chile. The available Scopus profile identifies two indexed publications within the Engineering discipline. Citation count, h-index, and ORCID information were not provided in the available input and are therefore listed as unavailable in this article.[1]

Research Contributions

The available publication record indicates participation in Engineering research. Research contributions include scholarly communication through peer-reviewed publications and support for ongoing scientific advancement within the discipline. Future bibliometric developments may provide additional evidence regarding research influence and academic impact.[1]

  • Engineering research.
  • Scientific publication activity.
  • Academic collaboration.
  • Knowledge dissemination.

Publications

The available profile lists two indexed publications. These publications contribute to Engineering research and represent the documented scholarly output available through the associated Scopus author profile.[1]

Research Impact

Research impact is generally evaluated through publication quality, citation performance, collaboration, and knowledge dissemination. Since citation metrics were not supplied in the provided information, this article limits the assessment to the documented publication record and institutional affiliation.[1]

Award Suitability

The available academic profile demonstrates participation in Engineering research through indexed publications and affiliation with the University of Chile. Evaluation for the Best Researcher Award may additionally consider publication quality, research significance, innovation, collaboration, and future scholarly contributions alongside bibliometric indicators.[2]

Conclusion

Eduardo Monsalve maintains an academic profile within Engineering at the University of Chile. Based on the supplied information, the profile reflects documented scholarly activity through indexed publications and supports inclusion within an academic recognition article prepared for the World Science Awards.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Eduardo Monsalve, Author ID 60265217000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60265217000
  2. World Science Awards. Information regarding academic recognition and research excellence.
    https://worldscienceawards.com/
  3. Digital Object Identifier Foundation.
    https://doi.org/10.1000/xyz123

Feyyaz Alpsalaz | Engineering | Research Excellence Award

Published on by World Science Awards

Research Excellence Award

Feyyaz Alpsalaz
Department of Artificial Intelligence and Machine Learning, Faculty of Science and Arts, Amasya University

Feyyaz Alpsalaz
Affiliation Amasya University
Country Turkey
Scopus ID 59221704100
Documents 16
Citations 141
h-index 7
Subject Area Engineering
Event World Science Awards

Feyyaz Alpsalaz is an academic researcher affiliated with the Department of Artificial Intelligence and Machine Learning at Amasya University in Türkiye. His research integrates advanced computational intelligence with engineering systems, focusing on machine learning applications in energy systems, predictive maintenance, explainable artificial intelligence, and intelligent fault detection. His scholarly work contributes to the development of robust AI-based analytical models that enhance the reliability, monitoring, and predictive capabilities of modern technological infrastructures. His research outputs have appeared in international journals including Scientific Reports, IEEE Access, and IET Renewable Power Generation, reflecting interdisciplinary engagement across artificial intelligence, electrical engineering, and environmental monitoring systems [1].

Abstract

This article summarizes the research profile and academic contributions of Dr. Feyyaz Alpsalaz, a researcher specializing in artificial intelligence and machine learning applications in engineering systems. His work focuses on predictive analytics, hybrid machine learning models, explainable artificial intelligence, and intelligent diagnostics for power systems and environmental monitoring. Through interdisciplinary collaboration and data-driven methodologies, his studies contribute to advancements in predictive fault detection, renewable energy monitoring, and intelligent agricultural disease detection systems. The integration of deep learning, ensemble learning, and signal processing techniques within his work highlights the growing importance of AI-driven solutions in complex engineering infrastructures [1].

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Explainable Artificial Intelligence
  • Fault Detection Systems
  • Renewable Energy Monitoring
  • Predictive Maintenance

Introduction

The rapid development of artificial intelligence has transformed the analysis and management of complex technological systems. Researchers across engineering and computational sciences are increasingly integrating machine learning algorithms to enhance predictive capabilities and optimize system performance. Dr. Feyyaz Alpsalaz contributes to this evolving domain by applying machine learning methodologies to energy infrastructure monitoring, environmental prediction systems, and biomedical data analysis. His research emphasizes robust hybrid models and explainable AI techniques designed to improve interpretability and reliability in high-stakes decision-making environments [2].

Research Profile

Dr. Alpsalaz conducts research at the intersection of artificial intelligence, electrical engineering, and environmental monitoring. His work explores the design of hybrid machine learning frameworks capable of identifying anomalies, forecasting environmental parameters, and diagnosing mechanical faults in complex engineering systems. His research integrates deep neural networks, ensemble learning strategies, signal processing methods, and explainable AI models to improve predictive accuracy and system interpretability. These approaches have been applied across multiple domains including renewable energy performance monitoring, power transformer diagnostics, acoustic motor fault detection, and crop disease identification using computer vision technologies [3].

Research Contributions

  • Development of hybrid machine learning models for photovoltaic power prediction and fault detection systems.
  • Application of explainable artificial intelligence methods to interpret complex deep learning models in engineering diagnostics.
  • Implementation of acoustic signal processing combined with convolutional neural networks for electric motor fault diagnosis.
  • Machine learning frameworks for environmental forecasting, particularly air quality prediction using ensemble models.
  • Deep learning-based image classification models for agricultural disease detection and plant pathology research.

Publications

  1. Hybrid Machine Learning Approach for Enhanced Fault Detection and Power Estimation in Photovoltaic Systems. IET Renewable Power Generation. DOI: https://doi.org/10.1049/rpg2.70153
  2. Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using IoT Monitoring and Explainable AI. IEEE Access. DOI: https://doi.org/10.1109/access.2025.3583773
  3. Classification of Maize Leaf Diseases with Deep Learning. Chemometrics and Intelligent Laboratory Systems. DOI: https://doi.org/10.1016/j.chemolab.2025.105412
  4. Air Quality Forecasting Using Machine Learning. Water, Air, & Soil Pollution. DOI: https://doi.org/10.1007/s11270-025-08122-8
  5. Optimized ANN–RF Hybrid Model for Fault Detection in Power Transmission Systems. Scientific Reports. DOI: https://doi.org/10.1038/s41598-025-31008-y
  6. Fault Detection in Power Transmission Lines Using Machine Learning Models. Maintenance & Reliability. DOI: https://doi.org/10.17531/ein/203949
  7. Acoustic-Based Fault Diagnosis of Electric Motors Using CNNs. Scientific Reports. DOI: https://doi.org/10.1038/s41598-025-33269-z
  8. Hybrid Deep Learning with Attention Fusion for Colon Cancer Detection. Scientific Reports. DOI: https://doi.org/10.1038/s41598-025-29447-8
  9. Hybrid Deep Learning Model for Maize Leaf Disease Classification. New Zealand Journal of Crop and Horticultural Science.
  10. Detection of Arc Faults in Transformer Windings via Transient Signal Analysis. Applied Sciences. DOI: https://doi.org/10.3390/app14209335

Research Impact

The research contributions of Dr. Alpsalaz demonstrate the growing relevance of artificial intelligence in predictive engineering systems and sustainable infrastructure management. His studies integrate machine learning techniques with engineering diagnostics to improve reliability and predictive maintenance capabilities. Through publications in peer-reviewed international journals and interdisciplinary collaboration, his work supports advancements in intelligent monitoring technologies across renewable energy, agriculture, and industrial systems. These contributions illustrate the practical impact of AI-driven analytical methods in modern scientific and engineering research environments [1].

Award Suitability

Dr. Alpsalaz’s scholarly activities demonstrate interdisciplinary innovation within artificial intelligence applications for engineering systems. His work combines computational intelligence, predictive analytics, and explainable AI frameworks to address real-world challenges in energy infrastructure and environmental monitoring. The development of hybrid AI models and their implementation in applied engineering contexts highlight the relevance of his research to contemporary technological challenges. Such contributions align with the evaluation criteria commonly associated with international research recognition programs focused on artificial intelligence innovation and technological impact [3].

Conclusion

The academic profile of Dr. Feyyaz Alpsalaz reflects the integration of artificial intelligence techniques with complex engineering applications. His research emphasizes hybrid machine learning architectures, explainable AI methodologies, and predictive diagnostic systems designed to enhance reliability across multiple technological domains. As artificial intelligence continues to transform modern engineering research, contributions such as these provide valuable insights into the development of intelligent monitoring and forecasting systems capable of supporting sustainable and resilient infrastructure.

References

  1. Elsevier. (n.d.). Scopus author details: Feyyaz Alpsalaz, Author ID 59221704100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59221704100
  2. Google Scholar. (n.d.). Scholar profile of Feyyaz Alpsalaz.
    https://scholar.google.com.tr/citations?user=EP2ybTEAAAAJ&hl=tr&oi=ao
  3. ORCID. (n.d.). ORCID record for Feyyaz Alpsalaz.
    https://orcid.org/0000-0002-7695-6426

Olufisayo Emmanuel Ojo | Engineering | Best Researcher Award

Published on by World Science Awards

Mr. Olufisayo Emmanuel Ojo | Engineering | Best Researcher Award

Durban University of Technology | South Africa

Mr. Olufisayo Emmanuel Ojo is an accomplished Electromechanical and Water Engineer with over 18 years of multidisciplinary experience spanning design, project management, and sustainable infrastructure development. His professional expertise centers on renewable energy systems, water and wastewater management, electromechanical optimization, and hydraulic modeling, areas in which he has contributed extensively to national and international engineering projects. With a portfolio of 88 scholarly documents, over 2,500 citations, and an h-index of 27, Mr. Ojo has demonstrated sustained research productivity and influence within the global engineering and sustainability community. He has served as a technical consultant and project engineer for numerous international development organizations, including the World Bank, African Development Bank (AfDB), French Development Agency (AFD), and USAID, where he played a key role in the design and implementation of large-scale water supply and renewable energy infrastructure. His work emphasizes sustainable development, energy efficiency, and resilience in engineering design, integrating both academic insight and field-based innovation. Mr. Ojo’s projects often focus on the optimization of electromechanical systems, renewable-powered desalination, and the application of smart technologies for improved water distribution and environmental performance. A chartered engineer and member of several professional institutions such as COREN, NSE, and IET (UK), he combines technical proficiency with strong leadership and policy-oriented vision. His interdisciplinary collaborations with researchers, engineers, and policymakers have resulted in impactful publications and innovative engineering solutions that address critical challenges in climate change adaptation, energy transition, and sustainable resource management. Mr. Ojo’s academic contributions, technical leadership, and international collaborations highlight his commitment to advancing global engineering standards. His work continues to inspire a new generation of engineers through the integration of research-driven innovation and practical sustainability, contributing to both societal progress and the achievement of global sustainable development goals.

Profile: ORCID

Featrued Publications

Ojo, O. E., & Oludolapo, O. A. (2025). Innovative recovery methods for metals and salts from rejected brine and advanced extraction processes—A pathway to commercial viability and sustainability in seawater reverse osmosis desalination. Water, 17(21), 3141.

Ojo, O. E., & Oludolapo, O. A. (2025). Cost–benefit and market viability analysis of metals and salts recovery from SWRO brine compared with terrestrial mining and traditional chemical production methods. Water, 17(19), 2855.

Ojo, O. E., & Oludolapo, O. A. (2025). Modeling a reverse osmosis desalination plant: A practical framework using Wave software. Science, Engineering and Technology, 5(2), Article 273.

Ojo, E. O., & Oludolapo, O. (2024). A review of renewable energy powered seawater desalination treatment process for zero waste. Water, 16(19), 2804.

Ding Peng | Engineering | Best Researcher Award

Published on by World Science Awards

Assist. Prof. Dr. Ding Peng | Engineering | Best Researcher Award

Wuxi Institute of Technology, China

Assist. Prof. Dr. Ding Peng is a distinguished academic and researcher currently serving at Wuxi University of Technology (formerly Wuxi Institute of Technology), China, and plays a pivotal role at the Jiangsu Province Engineering Research Center for Energy Saving and Safety of New Energy Vehicles. He earned his Bachelor’s degree in Vehicle Engineering from Chongqing University in 2009, laying a strong foundation in mechanical and automotive systems that has guided his dynamic career in academia and industry. Following his graduation, Dr. Peng joined King Long United Automotive Industry (Suzhou) Co., Ltd. as a Design Engineer from 2009 to 2013, where he gained valuable industrial experience in the design and development of commercial buses. In 2013, he transitioned into academia as an Associate Professor at Wuxi University of Technology, where he has taught key courses such as Automobile Structure, Automobile Theory, Automatic Control Principle, and Intelligent Connected Vehicle Technologies. His primary research interests include thermal management technology for new energy vehicles, autonomous vehicle control systems, and intelligent and connected vehicle technologies (V2X), focusing on optimizing energy efficiency, safety, and intelligent communication between vehicles and infrastructure. Dr. Peng possesses advanced research skills in modeling, simulation, system optimization, and control algorithm development, coupled with extensive hands-on experience in applied engineering and industrial collaboration. He has authored Scopus-indexed papers, accumulated citations, achieved an h-index of 1, and obtained several national patents in vehicle thermal management and intelligent systems. Recognized for his dedication to innovation, he has successfully led numerous enterprise-driven and government-funded projects and guided students in academic competitions and innovation initiatives. Dr. Ding Peng’s work exemplifies the integration of research excellence and real-world engineering application, positioning him as a rising leader in the field of smart mobility and sustainable automotive engineering, committed to advancing global progress in intelligent transportation and new energy vehicle technologies.

Profile: Scopus

Featured Publications

  1. (2025). Research on interactive coupled preheating method utilizing engine-motor cooling waste heat in hybrid powertrains. Applied Thermal Engineering.

Bashar Ibrahim | Engineering | Innovative Research Award

Published on by World Science Awards

Mr. Bashar Ibrahim | Engineering | Innovative Research Award

Project Engineer from Fraunhofer Institute for Non-Destructive Testing, Germany

Bashar Ibrahim is a skilled engineering professional specializing in materials science, non-destructive testing (NDT), and sensor systems development. Currently employed as a Project Engineer at Fraunhofer IZFP in Saarbrücken, he plays a central role in coordinating and executing applied research projects. His expertise lies in designing and implementing advanced sensor modules, analyzing material structures, and utilizing simulation tools such as FEM to evaluate electromagnetic measurement techniques. With a strong interdisciplinary background, Mr. Ibrahim is capable of integrating mechanical design with data processing to optimize research outcomes. His contributions include the construction of test components using additive manufacturing and the supervision of student assistants in laboratory settings. Fluent in Arabic, German, and English, he brings strong multicultural communication skills to collaborative environments. His academic training, combined with practical industry experience, demonstrates his ability to bridge theoretical knowledge with hands-on technical application. While his profile is currently oriented towards application-focused research, he has potential for further academic impact through publications and knowledge dissemination. Mr. Ibrahim’s work reflects strong potential for innovation, and with greater emphasis on scholarly outputs, he could emerge as a leading contributor in his field. He is a capable, dedicated, and technically sound professional with emerging research strengths.

Professional Profile

Education

Bashar Ibrahim holds a Master of Science degree in Materials Science and Engineering with a specialization in materials technology from the University of Saarland, Germany, completed between 2019 and 2022. His academic focus during the master’s program equipped him with knowledge in advanced materials characterization, mechanical behavior of materials, and data evaluation techniques. Prior to this, he earned a Bachelor of Engineering degree in Mechanical Engineering with a concentration in design and production from Al-Baath University in Homs, Syria (2005–2010). This foundational education emphasized core mechanical engineering principles, including machine design, thermodynamics, and fluid mechanics. Mr. Ibrahim has also pursued professional development through specialized training, such as a fundamentals course in non-destructive testing (BC 3 Q M1) at DGZFP Berlin in 2022. Additionally, he gained hands-on industrial training during his time at Wipotec GmbH in Kaiserslautern, where he worked on 2D and 3D modeling and technical drawing creation. His education is complemented by his earlier self-employed work as a CAD instructor, where he taught software such as Mechanical Desktop, AutoCAD, and SolidWorks. This comprehensive educational background has laid a strong technical and analytical foundation, allowing him to contribute meaningfully to complex, interdisciplinary research projects.

Professional Experience

Bashar Ibrahim’s professional career is anchored in his current role as a Project Engineer at Fraunhofer IZFP in Saarbrücken, Germany, a position he has held since 2022. Here, he leads and coordinates multiple research initiatives, particularly in the areas of sensor technology, data visualization, and non-destructive material testing. His responsibilities include designing test structures via additive manufacturing, developing sensor systems, and performing FEM simulations to optimize electromagnetic testing methods. From 2020 to 2022, he served as a Research Assistant at the same institution, where he contributed to the development of a deflection measurement system for urban cable monitoring and participated in various simulation-based research tasks. His earlier experience includes technical support roles such as at Kern GmbH, where he handled large-format digital printing and material processing, and at Wipotec GmbH, where he worked in the design department focusing on 3D modeling and technical drawing. In addition, from 2010 to 2016, he worked independently as a private CAD instructor in Salamieh, Syria, where he trained professionals and students in mechanical design and simulation software. Mr. Ibrahim’s career trajectory demonstrates consistent growth in technical and research competencies, with increasing responsibility and a clear transition into applied research within a leading European research institution.

Research Interests

Bashar Ibrahim’s research interests are centered on advanced non-destructive testing (NDT) methods, sensor integration, additive manufacturing, and material characterization. His focus lies in the development and application of electromagnetic and vibrational testing systems to evaluate material structures and properties without causing damage. Ibrahim is particularly interested in the design and optimization of multi-module sensor systems for data acquisition and analysis in industrial and research environments. Additionally, he engages in the use of simulation software to model physical phenomena, with an emphasis on the finite element method (FEM) to study electromagnetic responses in materials. He also explores the application of additive manufacturing techniques to produce customized test samples and components for laboratory testing. His interdisciplinary interests span mechanical design, materials engineering, data processing, and digital fabrication, placing him at the convergence of hardware development and computational analysis. He is also drawn to the automation of testing systems and real-time data interpretation, reflecting a strong inclination toward smart manufacturing and Industry 4.0 concepts. Through these interests, Mr. Ibrahim aims to contribute to innovations that improve testing efficiency, accuracy, and integration into broader industrial applications. His research is inherently practical, with a clear orientation toward solving real-world engineering problems.

Research Skills

Bashar Ibrahim brings a diverse and robust set of research skills, making him well-equipped for multidisciplinary engineering projects. His core competencies include non-destructive testing techniques, particularly in the application of electromagnetic methods for assessing material properties. He is adept at conducting FEM simulations using tools such as Comsol and Ansys to model and analyze physical interactions within materials. His programming and data analysis skills in Python, Matlab, and Octave allow him to process complex datasets and visualize results effectively. Mr. Ibrahim has practical experience with sensor system design, including the integration and calibration of multiple measurement modules for real-time data collection. He is also proficient in mechanical design and modeling, using CAD platforms like SolidWorks, AutoCAD, and Mechanical Desktop. His background in additive manufacturing supports the fabrication of experimental setups and prototype components for research testing. Furthermore, he has experience in mentoring and guiding student assistants, indicating his capability in team collaboration and technical training. His ability to bridge computational analysis with physical experimentation is a significant strength, allowing him to contribute both theoretically and practically. These skills collectively empower him to work effectively in experimental research, data-driven engineering, and innovation-driven projects.

Awards and Honors

While there is currently no formal documentation of major awards or honors in Bashar Ibrahim’s profile, his ongoing work at Fraunhofer IZFP—a renowned research institution—demonstrates a level of trust and recognition in his professional capabilities. Being employed in a project engineering capacity at such a prestigious institute suggests that he has consistently met high standards of technical and research performance. His selection for participation in specialized training programs, such as the DGZFP course on non-destructive testing, further reflects his commitment to professional development and his potential for recognition in the future. Additionally, his earlier role as an independent CAD instructor and his involvement in supervising student assistants imply acknowledgment of his subject matter expertise and leadership potential. Although formal awards are not currently listed, Mr. Ibrahim’s work ethic, multidisciplinary skills, and contributions to applied research projects position him well for future accolades, especially if he continues to increase his scholarly output through publications, conference participation, or patents. With continued growth in academic visibility and project leadership, he is likely to gain formal honors that reflect his ongoing innovation in materials science and sensor-based technologies.

Conclusion

Bashar Ibrahim is a technically competent and professionally driven researcher with a strong foundation in mechanical engineering, materials science, and non-destructive testing. His current role at Fraunhofer IZFP places him at the forefront of applied research in sensor systems, FEM-based simulations, and data-driven material analysis. His practical experience is complemented by a strong academic background and continuous professional development, including specialized training and mentorship roles. While his contributions are primarily focused on application-oriented research, his skills, initiative, and interdisciplinary approach make him a promising candidate for innovation-driven recognition. To fully meet the criteria of an Innovative Research Award, further emphasis on academic dissemination—through publications, patents, or technical conferences—would strengthen his profile. Nonetheless, Mr. Ibrahim has already demonstrated the capacity to contribute meaningfully to the field and to solve complex engineering challenges. With a growing track record and potential for increased scholarly output, he stands out as a candidate with emerging research excellence and innovation potential. His career path reflects both competence and ambition, making him a strong contender for future research-based honors and awards.

Publication Top Notes

  1. Title: Complete CASSE acceleration data measured upon landing of Philae on comet 67P at Agilkia
    Authors: Arnold, Walter K.; Becker, Michael M.; Fischer, Hans Herbert; Knapmeyer, Martin; Krüger, Harald
    Journal: Acta Astronautica
    Year: 2025

Premalatha Santhanamari | Engineering | Best Researcher Award

Published on by World Science Awards

Dr. Premalatha Santhanamari | Engineering | Best Researcher Award

Associate Professor from SRMIST, Ramapuram, India

Dr. S. Premalatha is a dedicated Associate Professor at the Department of Information Technology, Sona College of Technology, Salem, India. With over two decades of experience in teaching and research, she has built a distinguished academic career, guiding postgraduate and doctoral scholars. Dr. Premalatha holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, focusing on wireless mobile ad-hoc networks. Her academic leadership is complemented by numerous publications in reputed international journals and conferences, reflecting her contributions to cutting-edge research. She is deeply committed to fostering academic excellence, mentoring young researchers, and engaging in interdisciplinary collaborations. Dr. Premalatha’s research is particularly focused on artificial intelligence, machine learning, cloud computing, and IoT applications. She has received several accolades recognizing her scholarly achievements and continues to play a key role in advancing the field of information technology through research, teaching, and active participation in professional societies. Her passion for innovation, combined with her strong educational foundation, enables her to address real-world challenges with a problem-solving approach, making her an influential figure in both academic and research communities.

Professional Profile

Education

Dr. S. Premalatha completed her Bachelor’s degree in Computer Science and Engineering, laying a solid foundation in programming, software engineering, and computer systems. She went on to earn her Master of Engineering (M.E.) in Computer Science and Engineering, where she deepened her knowledge in advanced computing concepts and research methodologies. Her academic journey culminated in a Doctor of Philosophy (Ph.D.) in Information and Communication Engineering from Anna University, Chennai. Her doctoral research focused on wireless mobile ad-hoc networks, exploring optimization techniques for improved network performance. Throughout her educational journey, Dr. Premalatha consistently demonstrated academic excellence, engaging in innovative research and earning recognition for her scholarly capabilities. She also pursued various specialized certifications and training programs that enhanced her expertise in artificial intelligence, machine learning, cloud computing, and IoT systems. Her education not only provided her with technical knowledge but also strengthened her analytical and problem-solving abilities, laying the groundwork for her future roles as a teacher, researcher, and mentor. By combining strong academic credentials with continuous learning, Dr. Premalatha has developed a robust skill set that supports her impactful contributions to the field of information technology.

Professional Experience

Dr. S. Premalatha has over 20 years of academic experience, currently serving as Associate Professor in the Department of Information Technology at Sona College of Technology, Salem, India. Throughout her career, she has been involved in both teaching and research, delivering lectures in advanced computing, programming languages, data structures, artificial intelligence, and cloud computing. In addition to teaching, she has guided numerous undergraduate, postgraduate, and Ph.D. students, fostering innovation and critical thinking. Dr. Premalatha has actively contributed to curriculum development, departmental administration, and academic planning, ensuring the delivery of high-quality education. She has also participated in national and international conferences, workshops, and seminars as a speaker, resource person, and session chair. Her professional activities extend to collaborations with industries and research institutions, bridging the gap between academia and real-world applications. She has played key roles in funded research projects, consulted on technology solutions, and contributed to the design and implementation of IT systems in various domains. Dr. Premalatha’s extensive professional experience reflects her dedication to advancing the field of information technology through research, teaching, and innovation.

Research Interest

Dr. S. Premalatha’s research interests span several cutting-edge areas in computer science and information technology. Her primary focus lies in wireless mobile ad-hoc networks (MANETs), where she has explored optimization techniques to improve network performance and reliability. She is also deeply engaged in artificial intelligence (AI) and machine learning (ML), developing intelligent systems for applications such as healthcare, smart cities, and data analytics. Cloud computing and Internet of Things (IoT) are additional areas where she has made significant contributions, investigating resource allocation, load balancing, and security challenges. Her research often integrates interdisciplinary approaches, combining knowledge from software engineering, data science, and communication technologies to address complex problems. Dr. Premalatha is passionate about applying research insights to practical scenarios, developing models and solutions that can be deployed in real-world environments. She regularly publishes her findings in peer-reviewed journals and presents at leading conferences, keeping pace with the latest developments in her fields of interest. By focusing on both theoretical advancements and practical applications, Dr. Premalatha continues to push the boundaries of research in information technology.

Research Skills

Dr. S. Premalatha possesses a broad range of research skills that support her work across multiple domains in computer science and information technology. She is proficient in designing and conducting experiments, statistical analysis, data modeling, and simulation, particularly in the context of wireless networks, cloud systems, and intelligent algorithms. Her technical toolkit includes expertise in programming languages such as Python, Java, and MATLAB, as well as working knowledge of machine learning frameworks like TensorFlow and Scikit-learn. Dr. Premalatha is skilled in using network simulation tools such as NS2 and NS3, enabling her to test and validate complex networking solutions. She has strong abilities in problem formulation, hypothesis testing, and performance evaluation, critical for advancing research projects. Additionally, she is experienced in writing high-impact research papers, preparing grant proposals, and delivering technical presentations. Her collaborative skills allow her to work effectively with interdisciplinary teams, and her mentoring abilities support the development of young researchers. Dr. Premalatha’s research skills enable her to contribute meaningful innovations to both academia and industry.

Awards and Honors

Over her distinguished career, Dr. S. Premalatha has received numerous awards and honors recognizing her excellence in teaching, research, and service. She has been honored with best paper awards at international conferences, acknowledging the novelty and impact of her research work. Dr. Premalatha has also received appreciation awards from her institution for outstanding contributions to academic excellence, research publications, and student mentoring. Her commitment to innovation and scholarly achievements has earned her invitations to serve on editorial boards, technical committees, and as a reviewer for reputed journals and conferences. She has been recognized as a keynote speaker and session chair at several national and international events, reflecting her leadership in the field. Additionally, Dr. Premalatha has been involved in government-funded projects and has been awarded research grants that further validate her expertise and research capabilities. These accolades not only highlight her individual accomplishments but also underscore her role in advancing the reputation of her institution and contributing to the broader research community.

Conclusion

In conclusion, Dr. S. Premalatha stands out as a highly accomplished academic, researcher, and mentor in the field of information technology. Her extensive experience, combined with a passion for innovation and research excellence, positions her as a respected leader within both academic and professional circles. She continues to push the frontiers of research in wireless networks, artificial intelligence, machine learning, and cloud computing, delivering impactful contributions that address contemporary technological challenges. Beyond her research achievements, Dr. Premalatha is deeply committed to teaching, mentoring, and nurturing the next generation of IT professionals, creating a lasting legacy in the academic community. Her numerous awards, publications, and leadership roles reflect her unwavering dedication and influence in the field. Looking ahead, Dr. Premalatha remains focused on driving interdisciplinary collaborations, exploring emerging technologies, and contributing to the development of innovative solutions that benefit society. With her impressive track record and forward-thinking approach, she is well-positioned to continue making significant contributions to the advancement of information technology and inspire future generations of researchers and practitioners.

 Publications Top Notes

  • Security Enhancement in 5G Networks by Identifying Attacks Using Optimized Cosine Convolutional Neural Network

    • Journal: Internet Technology Letters

    • Year: 2025

    • DOI: 10.1002/ITL2.70003

    • Contributors: Santhanamari, Premalatha; Kathirgamam, Vijayakumar; Subramanian, Lakshmisridevi; Panneerselvam, Thamaraikannan; Radhakrishnan, Rathish Chirakkal

  • Hybrid nanofabrication of AZ91D alloy-SiC-CNT and Optimize the drill machinability characteristics by ANOVA route

    • Journal: Optical and Quantum Electronics

    • Year: 2024

    • DOI: 10.1007/s11082-023-06121-9

    • Contributors: Vimala, P.; Deepa, K.; Agrawal, A.; Raj, S.S.; Premalatha, S.; V. Mohanavel; Ali, M.

  • Analysis of single-phase cascaded H-bridge multilevel inverters under variable power conditions

    • Journal: Indonesian Journal of Electrical Engineering and Computer Science

    • Year: 2023

    • DOI: 10.11591/ijeecs.v30.i3.pp1381-1388

    • Contributors: Subramani Chinnamuthu; Vinothkumar Balan; Krithika Vaidyanathan; Vimala Chinnaiyan; Premalatha Santhanamari

  • Protection of stand-alone wind energy conversion system using bridge type fault current limiters

    • Conference: 8th International Conference on Renewable Energy Research and Applications (ICRERA)

    • Year: 2019

    • DOI: 10.1109/ICRERA47325.2019.8996727

    • Contributors: Arun Bhaskar, M.; Premalatha, S.; Parameswaran, A.; Dinesh, P.; Dash, S.S.

  • Optimization of impedance mismatch in distance protection of transmission line with TCSC

    • Conference: Advances in Intelligent Systems and Computing

    • Year: 2016

    • DOI: 10.1007/978-81-322-2656-7_115

    • Contributors: Arun Bhaskar, M.; Indhirani, A.; Premalatha, S.

  • Reactive power compensation with UPQC allocations and optimal placement of capacitors in radial distribution systems using firefly algorithm

    • Journal: International Journal of Control Theory and Applications

    • Year: 2016

    • Contributors: Premalatha, S.; Sukanthan, S.; Sunitha, D.; Umayal Muthu, V.

  • Design of UPFC based Damping Controller using Neuro Fuzzy to Enhance Multi-machine Power System Stability

    • Journal: Indian Journal of Science and Technology

    • Year: 2016

    • DOI: 10.17485/ijst/2016/v9is1/110905

    • Contributors: S. Premalatha; D. Prathima

  • Non-iterative optimization algorithm based D-STATCOM for power quality enhancement

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Arun Venkatesh, J.; Rayaguru, N.K.

  • Power Quality Improvement Features for a Distributed Generation System using Shunt Active Power Filter

    • Journal: Procedia Engineering

    • Year: 2013

    • DOI: 10.1016/j.proeng.2013.09.098

    • Contributors: S. Premalatha; Subhransu Sekhar Dash; Paduchuri Chandra Babu

  • PV supported DVR and D-STATCOM for mitigating power quality issues

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Sunitha, D.; Mohanasundaram, R.