Rajesh Kumar Samala | Engineering | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Rajesh Kumar Samala
Visvesvaraya College of Engineering and Technology, India

Rajesh Kumar Samala
Affiliation Visvesvaraya College of Engineering and Technology
Country India
Scopus ID 57204032308
Documents 20
Citations 109
h-index 5
Subject Area Engineering
Event International Forensic Scientist Awards
ORCID 0000-0002-0324-4436

Rajesh Kumar Samala is an engineering researcher whose indexed scholarly work spans nanotechnology, additive manufacturing, machine learning, Internet of Things applications, and technology-assisted analysis. His Scopus record comprises 20 documents, 109 citations, and an h-index of 5. [1] The research profile demonstrates an interdisciplinary orientation in which computational methods and engineering systems are applied to contemporary technical and applied research questions.

Abstract

Rajesh Kumar Samala’s research record reflects work across engineering technologies with particular emphasis on computational intelligence, advanced manufacturing, nanotechnology, and connected systems. His recent publications address nanoparticle toxicology, deep-learning-based tool wear prediction, healthcare-related statistical assessment, and machine-learning-driven energy optimization in wireless sensor networks. [2] [3] These studies illustrate the application of quantitative and computational approaches to engineering and technology-oriented problems.

Keywords

  • Engineering research
  • Nanoparticle toxicology
  • Deep learning
  • Additive manufacturing
  • Internet of Things

Introduction

Contemporary engineering research increasingly combines experimental investigation with machine learning, networked technologies, and data-driven modelling. Samala’s indexed publications reflect this broader development through studies addressing both emerging materials and computational engineering applications. The documented research covers publications from 2024 and 2025, indicating recent engagement with interdisciplinary engineering topics. [1]

Research Profile

The research profile is characterized by the integration of engineering analysis and computational techniques. Work on additive manufacturing applies deep learning to tool wear prediction, while another study examines crossbreed clustering for energy optimization in wireless sensor networks. [3] Research concerning nanoparticle properties and toxicological effects extends the profile toward materials-related engineering and technology assessment. [2]

Research Contributions

  • Investigates relationships between nanoparticle characteristics and toxicological effects.
  • Applies deep learning to tool wear prediction in additive manufacturing.
  • Explores machine learning and IoT methods for energy optimization.
  • Contributes to interdisciplinary engineering research involving data-driven methodologies.

Publications

Selected indexed publications include research on nanoparticle toxicology, additive manufacturing, healthcare analysis, and wireless sensor networks. The 2025 article on nanoparticle properties and toxicological effects was published in Proceedings on Engineering Sciences. [2] The 2025 study on deep learning and tool wear prediction appeared in Progress in Additive Manufacturing. [3]

Research Impact

The available Scopus metrics record 20 documents, 109 citations, and an h-index of 5. [1] These bibliometric indicators provide a quantitative view of indexed research visibility and should be interpreted in relation to publication age, field-specific citation practices, and database coverage.

Award Suitability

The documented research themes correspond to an Innovative Research Award context through their emphasis on emerging technologies, computational approaches, and interdisciplinary engineering applications. The publication record provides identifiable evidence of research activity in areas including nanotechnology, additive manufacturing, machine learning, and IoT-enabled systems. [2] [3]

Conclusion

Rajesh Kumar Samala’s indexed research profile presents a multidisciplinary engineering portfolio combining computational intelligence, advanced manufacturing, nanotechnology, and connected systems. The documented publications and Scopus metrics provide a concise evidence base for recognizing his continuing contribution to contemporary engineering research.

References

  1. Elsevier. (n.d.). Scopus author details: Rajesh Kumar Samala, Author ID 57204032308. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204032308
  2. Samala, R. K., et al. (2025). Exploring the Interrelationship Between Nanoparticle Properties and Their Toxicological Effects. Proceedings on Engineering Sciences.
    https://doi.org/10.24874/PES07.03A.009
  3. Samala, R. K., et al. (2025). Enhancing Tool Wear Prediction with Deep Learning Models in Additive Manufacturing Processes. Progress in Additive Manufacturing.
    https://doi.org/10.1007/s40964-025-01372-2
  4. Samala, R. K., et al. (2024). Assessment of Primary Lung Cancer Survival Rates in Relation to the Number of Thoracoscopic Lobectomies Performed in Hospitals. Onkologia I Radioterapia.
  5. Samala, R. K., et al. (2024). Machine Learning and Internet of Things Driven Energy Optimization in Wireless Sensor Networks through Crossbreed Clustering. Journal of Intelligent Systems and Internet of Things.
    https://doi.org/10.54216/JISIoT.130204
  6. Elsevier. (n.d.). Scopus indexed publication records associated with Author ID 57204032308. Scopus.

Elijah Gbenga Osunkentan | Engineering | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Elijah Gbenga Osunkentan
Federal University of ABC

Elijah Gbenga Osunkentan
Affiliation Federal University of ABC
Country Brazil
Scopus ID 60381839900
Documents 1
Subject Area Engineering
Event International Forensic Scientist Awards
Google Scholar ID 8mrS_zkAAAAJ

Elijah Gbenga Osunkentan is associated with engineering research focused on electrical power systems, microgrids, fault detection, transmission-line analysis, and intelligent computational methods. The supplied publication record indicates work involving statistical voltage-based islanding detection and machine-learning approaches for identifying electrical faults. These themes connect conventional power-system analysis with data-driven techniques for improving the monitoring and diagnosis of modern electrical networks. [1]

Abstract

The research profile of Elijah Gbenga Osunkentan centers on engineering applications in electrical power systems. Documented work includes passive islanding detection in microgrids, transmission-line fault detection using Support Vector Machines (SVM) and Artificial Neural Networks (ANN), and fault-location methods using Long Short-Term Memory (LSTM) neural networks. These studies represent complementary approaches to system monitoring, classification, and intelligent fault diagnosis. [1] [2] [3]

Keywords

Microgrids; islanding detection; power systems; fault detection; transmission lines; SVM; ANN; LSTM; intelligent fault location; electrical engineering.

Introduction

Modern electrical networks require dependable methods for detecting abnormal operating conditions and locating faults. Microgrids introduce additional operational considerations because distributed generation can alter system behavior during islanded and grid-connected states. Machine-learning techniques can complement established analytical approaches by supporting classification and pattern recognition. The supplied research record addresses these engineering challenges through statistical and intelligent computational methods. [1] [2]

Research Profile

Osunkentan’s documented research combines statistical signal interpretation with machine-learning models for electrical-system diagnosis. The reported areas include passive islanding detection, transmission-line fault classification, and intelligent fault-location techniques. This combination reflects an interdisciplinary engineering approach in which computational models are applied to practical power-system monitoring problems. [1] [2] [3]

Research Contributions

  • Development of a statistical voltage-based approach for passive islanding detection in microgrids. [1]
  • Comparative investigation of SVM and ANN techniques for transmission-line fault detection. [2]
  • Application of LSTM neural networks to intelligent transmission-line fault-location analysis. [3]

Publications

The supplied publication information identifies three relevant research outputs. The 2026 article, “An efficient and cost-effective statistical voltage-based method for passive islanding detection in microgrids,” appears in Discover Electronics 3(1), article 132. A 2025 conference contribution examines SVM and ANN for transmission-line fault detection, while another work addresses transmission-line fault location using LSTM neural networks. [1] [2] [3]

Research Impact

The available record documents research activity across journal, conference, and preprint-oriented channels. The stated Scopus record contains one document; citation and h-index values were not supplied and are therefore not inferred here. The research themes have practical relevance to power-system monitoring because islanding detection and fault diagnosis address operational reliability and system protection requirements. [1]

Award Suitability

The documented research aligns with an Innovative Research Award category through its focus on statistical analysis, machine-learning methods, microgrid operation, and intelligent fault diagnosis. The supplied record provides identifiable research outputs and methods that can be considered in an academic recognition assessment. Final award decisions remain subject to the applicable evaluation criteria and review process of the International Forensic Scientist Awards. [4]

Conclusion

Elijah Gbenga Osunkentan’s supplied research record demonstrates a focused engineering interest in electrical-system diagnostics, microgrid islanding detection, transmission-line fault identification, and neural-network-based fault location. The combination of statistical and intelligent methods provides a coherent basis for documenting his research profile within an innovation-oriented academic recognition context.

References

  1. Osunkentan, E. G. (2026). An efficient and cost-effective statistical voltage-based method for passive islanding detection in microgrids. Discover Electronics, 3(1), 132.
  2. Osunkentan, E. G., dos Santos, R. C., & Da Silva, A. M. (2025). Comparative Analysis of SVM and ANN for Fault Detection in Transmission Lines. 2025 16th IEEE International Conference on Industry Applications (INDUSCON).
  3. Silva, A. M. (n.d.). An Effective Intelligent Method for Fault Location in Transmission Lines Using LSTM Neural Networks. SSRN 5928668.
  4. International Forensic Scientist Awards. (n.d.). International Forensic Scientist Awards.
    forensicscientist.org
  5. Elsevier. (n.d.). Scopus author details: Elijah Gbenga Osunkentan, Author ID 60381839900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60381839900
  6. Google Scholar. (n.d.). Elijah Gbenga Osunkentan publication and citation record.
    Google Scholar Profile

Gebretsadik Berhe | Nursing and Health Professions | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Gebretsadik Berhe
Mekelle University, Ethiopia

Gebretsadik Berhe
Affiliation Mekelle University
Country Ethiopia
Scopus ID 18933263600
Documents 31
Citations 496
h-index 12
Subject Area Nursing and Health Professions
Event International Forensic Scientist Awards
ORCID 0000-0002-5610-1383

Gebretsadik Berhe, affiliated with Mekelle University, Ethiopia, is a researcher working in nursing and health professions. His documented research record includes studies addressing infectious diseases, maternal and child health, reproductive health, and healthcare utilization. The available bibliometric record lists 31 documents, 496 citations, and an h-index of 12. These indicators provide a quantitative overview of his scholarly output and visibility. [1]

Abstract

This academic profile presents the research activities and selected publications of Gebretsadik Berhe in nursing and health professions. His work encompasses public health investigations, infectious disease epidemiology, maternal and child healthcare, and health-service utilization. Recent publications address HIV infection in post-conflict Tigray, the effects of in-service training on healthcare utilization, sexually transmitted infections, and male partner involvement in antenatal care. Collectively, these studies reflect an emphasis on population health, healthcare delivery, and evidence-informed practice. [2]

Keywords

Nursing; public health; maternal health; child health; infectious diseases; HIV epidemiology; healthcare utilization; Tigray; health services research.

Introduction

Health-professions research contributes to understanding disease patterns, strengthening health systems, and improving access to essential services. Within this context, Berhe’s reported research addresses public health questions relevant to communities in Ethiopia and other developing-country settings. The studies identified in this profile combine epidemiological investigation, assessment of healthcare practices, and synthesis of evidence from existing research. [3]

Research Profile

Berhe’s research profile is centered on nursing and health professions, with a particular emphasis on population-based health assessment and healthcare delivery. His reported studies investigate HIV and other infections, maternal and child health services, reproductive-age populations, and antenatal-care practices. The range of topics connects clinical and community health perspectives, while the use of cross-sectional research and systematic review methods supports the examination of health outcomes and service-related factors. [4]

Research Contributions

The documented research addresses several public health priorities:

  • Assessment of HIV prevalence and recent infection among adults in post-conflict Tigray.
  • Evaluation of in-service training and its relationship with maternal and child health-service utilization.
  • Investigation of hepatitis B, hepatitis C, and syphilis among reproductive-age adults.
  • Synthesis of evidence concerning male partner involvement in antenatal care, institutional delivery, and postnatal care.

Publications

Selected publications associated with the supplied research record include the following:

  1. Prevalence of HIV and recent infection among people aged 15 to 54 years in post conflict Tigray Ethiopia. Discover Public Health, published September 20, 2026.
  2. Effect of in service training on maternal and child health services utilization. Discover Public Health, published September 1, 2026.
  3. Prevalence and risk factors of hepatitis B, hepatitis C, and syphilis among reproductive-age adults in the Tigray region, Northern Ethiopia: a community-based cross-sectional study. Scientific Reports, published April 9, 2026.
  4. Male partner involvement in ANC to increase institutional delivery and postnatal care utilization in developing countries: a systematic review and meta-analysis. BMC Health Services Research, published March 2, 2026.

Research Impact

The supplied Scopus metrics record 31 documents, 496 citations, and an h-index of 12. These figures indicate a measurable body of indexed scholarly work and citation activity. The subject coverage of the selected publications also demonstrates engagement with health challenges involving infectious diseases, maternal and child health, and healthcare access. Citation counts and publication records should be interpreted according to database coverage and the date of retrieval. [1]

Award Suitability

The supplied research record provides a documented basis for considering Gebretsadik Berhe in relation to an Innovative Research Award within the International Forensic Scientist Awards framework. His selected studies address current public health concerns and apply established research approaches to health-service and epidemiological questions. Final award assessment would require review of the complete research portfolio, methodological quality, originality, contribution, and the applicable evaluation criteria.

Conclusion

Gebretsadik Berhe’s documented academic profile reflects research activity in nursing and health professions, particularly in public health, infectious disease epidemiology, and healthcare utilization. His selected publications address relevant health challenges in Ethiopia and wider developing-country contexts. The available bibliometric indicators and research topics provide a concise foundation for academic recognition, subject to independent verification and formal evaluation.

References

  1. Elsevier. (n.d.). Scopus author details: Gebretsadik Berhe, Author ID 18933263600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=18933263600
  2. Berhe, G., et al. (2026). Prevalence of HIV and recent infection among people aged 15 to 54 years in post conflict Tigray Ethiopia. Discover Public Health.
    https://doi.org/10.1186/s12982-026-03016-4
  3. Berhe, G., et al. (2026). Effect of in service training on maternal and child health services utilization. Discover Public Health.
    https://doi.org/10.1186/s12982-026-02875-1
  4. Berhe, G., et al. (2026). Prevalence and risk factors of hepatitis B, hepatitis C, and syphilis among reproductive-age adults in the Tigray region, Northern Ethiopia: a community-based cross-sectional study. Scientific Reports.
    https://doi.org/10.1038/s41598-026-47701-5
  5. Berhe, G., et al. (2026). Male partner involvement in ANC to increase institutional delivery and postnatal care utilization in developing countries: a systematic review and meta-analysis. BMC Health Services Research.
    https://doi.org/10.1186/s12913-026-14294-8
  6. ORCID. (n.d.). Gebretsadik Berhe: ORCID record.
    https://orcid.org/0000-0002-5610-1383

Muhammad Ovais Akhter | Environmental and Sustainable Materials | Best Researcher Award

Published on by Forensic Scientist Awards

Best Researcher Award

Muhammad Ovais Akhter
Bahria University, Pakistan

Muhammad Ovais Akhter
Affiliation Bahria University
Country Pakistan
Scopus ID 57192312169
Documents 7
Citations 21
h-index 3
Subject Area Environmental and Sustainable Materials
Event International Forensic Scientist Awards
ORCID 0000-0002-8928-4489

Muhammad Ovais Akhter is a researcher affiliated with Bahria University, Pakistan, whose documented scholarly output includes work spanning artificial intelligence, privacy-preserving computing, sustainable food management, and power-system control. His Scopus record lists 7 documents, 21 citations, and an h-index of 3. [1] His publication record provides evidence of interdisciplinary engagement with computational methods and sustainability-oriented applications.

Abstract

Muhammad Ovais Akhter’s research profile reflects interdisciplinary work involving artificial intelligence, sustainable systems, privacy-preserving computing, and electrical-energy applications. His recent publications address AI-based recommendation, federated learning for sustainable food management, privacy-preserving social clustering, and islanding detection in low-voltage networks. [2] [3] [4] [5]

Keywords

Artificial intelligence; federated learning; sustainable food management; privacy-preserving computing; clustering; power-system control; islanding detection; sustainable systems; environmental applications.

Introduction

The research record associated with Muhammad Ovais Akhter demonstrates a multidisciplinary orientation in which computational approaches are applied to practical technological and sustainability-related problems. The documented publications range from an AI-based makeup recommendation system to federated deep learning for virtual refrigeration and sustainable food management. [2] [3]

Research Profile

Akhter’s documented research profile combines machine learning and data-driven methods with applications requiring privacy, sustainability, recommendation, and system-level control. The listed publications indicate engagement with both emerging computational techniques and engineering applications. His Scopus-indexed record comprises 7 documents with 21 citations and an h-index of 3. [1] The available publication evidence supports a research trajectory that crosses conventional disciplinary boundaries.

Research Contributions

  • Development of an AI-based recommendation approach addressing personalized makeup selection. [2]
  • Application of federated deep learning to triple-bottom-line optimization and sustainable food-management scenarios. [3]
  • Investigation of privacy-preserving clustering for social connection systems. [4]
  • Research into islanding detection and control for voltage-source converters in a CIGRE low-voltage network. [5]

Publications

Selected recent publications illustrate the breadth of Akhter’s research activity. These include AI Based Makeup Recommendation System: A Suitable AI Solution for Women, published in VAWKUM Transactions on Computer Sciences in 2026; Federated deep learning for triple bottom line optimization in virtual refrigeration through simulation-based sustainable food management in Sustainable Food Technology; Buddy Finder: A Privacy-Preserving Clustering Approach for Like-Minded Social Connections; and An islanding detection and control algorithm based on CVFR for Voltage Source Converter in CIGRE LV Network. [2] [3] [4] [5]

Research Impact

The available bibliometric record reports 21 citations across 7 Scopus documents and an h-index of 3. [1] These indicators provide a quantitative snapshot of documented scholarly visibility, while the publication topics demonstrate application-oriented research across artificial intelligence, sustainable systems, privacy, and power engineering. Citation indicators should be interpreted in relation to publication age, field, database coverage, and the evolving nature of the research record.

Award Suitability

For consideration under a Best Researcher Award framework, the documented profile provides identifiable evidence of scholarly output, indexed publications, citations, and interdisciplinary research activity. The publication portfolio includes studies addressing sustainability and computational innovation, while the bibliometric record offers measurable indicators for academic assessment. [1] Final recognition should be determined according to the applicable award criteria and evaluation process.

Conclusion

Muhammad Ovais Akhter’s documented research encompasses AI, federated learning, privacy-preserving systems, sustainable management, and electrical-network control. His indexed publication and citation record, together with the range of recent research topics, provides a concise basis for academic recognition and further scholarly evaluation.

References

  1. Elsevier. (n.d.). Scopus author details: Muhammad Ovais Akhter, Author ID 57192312169. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192312169
  2. Akhter, M. O. (2026). AI Based Makeup Recommendation System: A Suitable AI Solution for Women. VAWKUM Transactions on Computer Sciences. DOI: 10.21015/vtcs.v14i1.2314.
    https://doi.org/10.21015/vtcs.v14i1.2314
  3. Akhter, M. O. (2026). Federated deep learning for triple bottom line optimization in virtual refrigeration through simulation-based sustainable food management. Sustainable Food Technology. DOI: 10.1039/D5FB00739A.
    https://doi.org/10.1039/D5FB00739A
  4. Akhter, M. O. (2025). Buddy Finder: A Privacy-Preserving Clustering Approach for Like-Minded Social Connections. VAWKUM Transactions on Computer Sciences. DOI: 10.21015/vtcs.v13i2.2289.
    https://doi.org/10.21015/vtcs.v13i2.2289
  5. Akhter, M. O. (2025). An islanding detection and control algorithm based on CVFR for Voltage Source Converter in CIGRE LV Network. Pakistan Journal of Engineering, Technology and Science. DOI: 10.22555/pjets.v13i2.1457.
    https://doi.org/10.22555/pjets.v13i2.1457
  6. ORCID. (n.d.). Muhammad Ovais Akhter — ORCID record.
    https://orcid.org/0000-0002-8928-4489
  7. International Forensic Scientist Awards. (n.d.). Official Award Website.
    forensicscientist.org

Mamoni Banerjee | Agricultural and Biological Sciences | Best Researcher Award

Published on by Forensic Scientist Awards

Best Researcher Award

Mamoni Banerjee
Indian Institute of Technology, Kharagpur, India

Mamoni Banerjee
Affiliation Indian Institute of Technology, Kharagpur
Country India
Scopus ID 57211580670
Documents 41
Citations 323
h-index 11
Subject Area Agricultural and Biological Sciences
Event International Forensic Scientist Awards
ORCID 0000-0002-3315-2567

Mamoni Banerjee is a researcher associated with agricultural and biological sciences at the Indian Institute of Technology, Kharagpur. Her research profile encompasses sustainable food systems, agricultural decision-making, organic food consumption, biopesticide adoption, food supply chains, and functional food research. Her indexed record comprises 41 documents, 323 citations, and an h-index of 11. [1]

Abstract

Mamoni Banerjee’s research portfolio reflects an interdisciplinary focus on sustainable agriculture, food systems, farmer behavior, consumer behavior, and functional food applications. Recent publications address life-cycle carbon accounting and waste valorisation in litchi supply chains, organic food consumption in India, biopesticide adoption, and the bioactivity and functional applications of Costus pictus. [2] [3] [4] [5]

Keywords

  • Sustainable food systems
  • Agricultural sustainability
  • Organic food consumption
  • Biopesticide adoption
  • Food supply chains

Introduction

Research addressing agricultural sustainability increasingly connects production practices with consumer behavior, environmental accounting, resource recovery, and food functionality. Banerjee’s recent work fits within this broad research landscape by examining agricultural and food-system questions through empirical studies, reviews, and sustainability-oriented approaches. Her publication record provides evidence of engagement with both behavioral and environmental dimensions of food and agriculture.

Research Profile

The research profile combines agricultural sustainability with studies of human behavior and food-related decision-making. The 2025 study on organic food consumption investigates factors influencing consumer behavior in India, while research on biopesticide adoption considers behavioral theories alongside government initiatives. [3] [4] This combination indicates a research agenda spanning production, adoption, consumption, and sustainable food-system transitions.

Research Contributions

Recent contributions include life-cycle carbon accounting and waste valorisation within litchi supply chains, providing a sustainability-oriented perspective on food production and resource use. [2] Other work examines behavioral drivers of organic food consumption and biopesticide adoption in India. [3] [4] A review of medicinal insulin plant bioactivities further extends the portfolio toward functional food research. [5]

Publications

  • Life cycle carbon accounting and waste valorisation in litchi supply chains for climate-resilient food systems — Sustainable Food Technology, 2026. [2]
  • Identifying the factors influencing consumption behavior toward organic food: an empirical study in India — Cogent Food & Agriculture, 2025. [3]
  • Bridging behavioral theories and government initiatives: understanding the drivers of biopesticide adoption among farmers in India — Renewable Agriculture and Food Systems, 2025. [4]
  • Synergies of bioactivities, mechanisms, dietary factors and functional food applications of medicinal insulin plant (Costus pictus D.): a review — International Journal of Food Science and Technology, 2024. [5]

Research Impact

The indexed profile records 41 documents, 323 citations, and an h-index of 11. [1] The publication themes also connect agricultural research with climate resilience, sustainable consumption, biological crop protection, and functional foods. These areas are relevant to ongoing efforts to improve resource efficiency and sustainability across food and agricultural systems.

Award Suitability

The documented research profile provides evidence relevant to consideration for a Best Researcher Award within the International Forensic Scientist Awards framework, particularly through its publication activity, citation record, and multidisciplinary agricultural and food-system research. The assessment should be considered alongside the award’s formal eligibility criteria and any independent review procedures.

Conclusion

Mamoni Banerjee’s documented scholarly record demonstrates sustained research activity in agricultural and biological sciences, with recent work addressing sustainable food systems, farmer and consumer behavior, biopesticides, supply-chain sustainability, and functional foods. The combination of indexed research output and interdisciplinary subject coverage provides a substantive basis for academic recognition and further scholarly evaluation.

References

  1. Elsevier. (n.d.). Scopus author details: Mamoni Banerjee, Author ID 57211580670. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57211580670
  2. Royal Society of Chemistry. (2026). Life cycle carbon accounting and waste valorisation in litchi supply chains for climate-resilient food systems. Sustainable Food Technology.
    https://doi.org/10.1039/D5FB00519A
  3. Taylor & Francis. (2025). Identifying the factors influencing consumption behavior toward organic food: an empirical study in India. Cogent Food & Agriculture.
    https://doi.org/10.1080/23311932.2025.2565381
  4. Cambridge University Press. (2025). Bridging behavioral theories and government initiatives: understanding the drivers of biopesticide adoption among farmers in India. Renewable Agriculture and Food Systems.
    https://doi.org/10.1017/S1742170525100070
  5. Wiley. (2024). Synergies of bioactivities, mechanisms, dietary factors and functional food applications of medicinal insulin plant (Costus pictus D.): a review. International Journal of Food Science and Technology.
    https://doi.org/10.1111/ijfs.17588

Guangyao Li | Engineering | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Guangyao Li
Harbin Institute of Technology, China

Guangyao Li
Affiliation Harbin Institute of Technology
Country China
Scopus ID 58371333200
Documents 38
Citations 244
h-index 9
Subject Area Engineering
Event International Forensic Scientist Awards
ORCID 0000-0003-3343-1889

Guangyao Li is an engineering researcher affiliated with Harbin Institute of Technology whose documented research record includes work on wireless power transfer (WPT), inductive power transfer, compensation networks, power electronics, and wireless charging systems. The available bibliographic record lists 38 documents, 244 citations, and an h-index of 9. His recent publications address practical challenges including frequency switching, compensation topology, circulating-current suppression, output regulation, misalignment tolerance, and wireless charging for unmanned aerial vehicles.

Abstract

Guangyao Li’s research profile is centered on engineering problems associated with wireless and inductive power transfer. Recent publications demonstrate attention to compensation topology design, controllable power delivery, system stability, and operating conditions encountered in practical WPT applications. His 2026 work includes a dual-frequency three-coil topology with constant-current and constant-voltage outputs and zero-voltage switching, as well as an inductive power transfer system designed for misalignment-tolerant UAV charging. Additional research examines circulating currents in segmented dynamic wireless power transfer systems and bidirectional inductive power transfer control.

Keywords

  • Wireless power transfer
  • Inductive power transfer
  • Power electronics
  • Compensation networks
  • Wireless charging

Introduction

Wireless power transfer research seeks to improve the efficiency, controllability, reliability, and application range of contactless energy-transfer systems. Within this field, compensation networks and control strategies strongly influence operating frequency, power regulation, switching conditions, and tolerance to changes in coupling. Li’s recent publications address these engineering considerations through circuit topologies and control approaches reported in peer-reviewed journals.

Research Profile

The documented profile comprises 38 Scopus-indexed documents, 244 citations, and an h-index of 9. These bibliometric indicators provide a quantitative description of the indexed publication record and should be interpreted in relation to field, publication age, database coverage, and citation practices. [1] His research activity is particularly associated with power-transfer systems and engineering methods for regulating electrical energy delivered through inductive coupling.

Research Contributions

Recent work describes a dual-frequency switchable LCC-S-S and S-S-S compensated three-coil topology supporting constant-current and constant-voltage outputs with zero-voltage switching. [2] Another study proposes an L-S/N inductive power-transfer system using a lightweight receiver, primary-side tuning, and constant-current control for UAV wireless charging under misalignment conditions. [3] Further research investigates induced circulating currents in segmented dynamic WPT systems and output regulation in bidirectional inductive power transfer. [4] [5]

Publications

  • A Dual-Frequency Switchable LCC-S-S and S-S-S Compensated Three-Coil Topology with CC/CV Outputs and ZVS Operation for WPT Applications. Electronics, 2026. [2]
  • An L-S/N IPT System with a Lightweight Receiver and Primary-Side Tuning and Constant-Current Control for Misalignment-Tolerant UAV Wireless Charging. Electronics, 2026. [3]
  • Analysis and Suppression of Induced Circulating Currents in Segmented DWPT Systems With a Primary-Side LCC Compensation Network. IEEE Transactions on Power Electronics, 2026. [4]
  • Enhancing Output Stability in Bidirectional Inductive Power Transfer Using Switching Controlled Capacitors and Dual-Phase-Shift Control. IEEE Transactions on Industry Applications, 2026. [5]

Research Impact

The available citation record indicates measurable scholarly visibility, with 244 citations and an h-index of 9 in the supplied Scopus profile data. [1] The publication themes also show continuity around practical WPT engineering, including power regulation, switching operation, misalignment tolerance, dynamic charging, and bidirectional energy transfer. The significance of individual contributions should be assessed through their technical results, independent citations, and subsequent adoption rather than bibliometric indicators alone.

Award Suitability

For the Innovative Research Award, the documented research record provides evidence of recent work addressing technically specific challenges in wireless and inductive power-transfer systems. The publications cover circuit topology development, control methods, switching behavior, output stability, and application-oriented wireless charging. These documented areas can be considered in an award evaluation alongside the complete research record, independent scholarly impact, and the stated criteria of the International Forensic Scientist Awards.

Conclusion

Guangyao Li’s documented research profile combines indexed scholarly output with recent publications focused on wireless power-transfer technologies and associated power-electronic control challenges. His 2026 publications provide identifiable examples of work on compensation structures, switching control, system stability, and misalignment-tolerant charging, establishing a clear research focus within engineering.

References

  1. Elsevier. (n.d.). Scopus author details: Guangyao Li, Author ID 58371333200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58371333200
  2. Li, Guangyao, et al. (2026). A Dual-Frequency Switchable LCC-S-S and S-S-S Compensated Three-Coil Topology with CC/CV Outputs and ZVS Operation for WPT Applications. Electronics.
    https://doi.org/10.3390/electronics15184285
  3. Li, Guangyao, et al. (2026). An L-S/N IPT System with a Lightweight Receiver and Primary-Side Tuning and Constant-Current Control for Misalignment-Tolerant UAV Wireless Charging. Electronics.
    https://doi.org/10.3390/electronics15184245
  4. Li, Guangyao, et al. (2026). Analysis and Suppression of Induced Circulating Currents in Segmented DWPT Systems With a Primary-Side LCC Compensation Network. IEEE Transactions on Power Electronics.
    https://doi.org/10.1109/TPEL.2025.3650608
  5. Li, Guangyao, et al. (2026). Enhancing Output Stability in Bidirectional Inductive Power Transfer Using Switching Controlled Capacitors and Dual-Phase-Shift Control. IEEE Transactions on Industry Applications.
    https://doi.org/10.1109/TIA.2025.3603528

Mulatu Kassie Birhanu | Chemical Engineering | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award


Mulatu Kassie Birhanu
University of Stuttgart, Germany

Mulatu Kassie Birhanu
Affiliation University of Stuttgart
Country Germany
Scopus ID 57204063748
Documents 10
Citations 461
h-index 6
Subject Area Chemical Engineering
Event International Forensic Scientist Awards
ORCID 0000-0001-5287-6862

Mulatu Kassie Birhanu is a researcher affiliated with the University of Stuttgart whose documented research output is situated within Chemical Engineering. The available publication record includes work addressing electrochemical carbon dioxide conversion, integrated carbon capture and electrolysis, and agricultural resource utilization. Scopus records supplied for this profile report 10 documents, 461 citations, and an h-index of 6.

Abstract

Mulatu Kassie Birhanu’s research profile reflects activity in Chemical Engineering with a focus represented by recent publications on electrochemical CO2 reduction, carbon capture and electrolysis, and integrated approaches to agricultural resource management. His reported Scopus record comprises 10 documents, 461 citations, and an h-index of 6. These indicators provide a quantitative view of the visibility of the documented research output.

Keywords

  • Chemical Engineering
  • Carbon Capture
  • Gas Diffusion Electrodes
  • Sustainable Resource Utilization

Introduction

The research record supplied for Birhanu indicates an interdisciplinary connection between chemical engineering, electrochemical technologies, carbon management, and resource-efficient applications. Recent publications further indicate engagement with both fundamental electrode-performance questions and broader implementation considerations. The documented work therefore provides a basis for examining research activity through publications and bibliometric indicators.

Research Profile

A notable theme is electrochemical conversion of CO2. The 2026 ChemElectroChem article examines the role of binders in SnO2-based gas diffusion electrodes for electrochemical CO2 reduction to formic acid.[2] Another publication considers integrated CO2 capture and electrolysis in the context of industrial implementation.[3]

Research Contributions

The listed studies demonstrate research spanning electrode materials and processing variables, integrated carbon-management systems, and agricultural applications. The gas-diffusion-electrode study addresses a specific performance factor in CO2 electroreduction, while the review-oriented work addresses integration of capture and electrolysis. A separate PLOS ONE publication examines combined organic and chemical fertilizer application in sugarcane cultivation.[4]

Publications

  • Role of Binders on the Performance of SnO2-Based Gas Diffusion Electrodes for Electrochemical CO2 Reduction to Formic Acid. ChemElectroChem, 2026.
  • Integrated application of meat waste-derived organic fertilizer and chemical fertilizer in sugarcane cultivation. PLOS ONE, 2026.
  • Integrated CO2 capture and electrolysis: advancing industrial implementation. Current Opinion in Chemical Engineering, 2026.

Research Impact

The supplied Scopus indicators record 461 citations across 10 documents and an h-index of 6.[1] These measures describe citation visibility within the indexed record and should be interpreted in relation to publication age, field-specific citation patterns, and database coverage.

Award Suitability

The documented publication themes provide a research basis relevant to an Innovative Research Award, particularly through work connecting electrochemical CO2 conversion with electrode engineering and integrated carbon-capture technologies. The publication record also demonstrates application-oriented research extending into sustainable agricultural resource use. These documented areas can be considered alongside the researcher’s broader record during formal award evaluation.

Conclusion

Mulatu Kassie Birhanu’s documented profile combines Chemical Engineering research with recent work on electrochemical CO2 conversion, carbon capture and electrolysis, and resource-oriented agricultural applications. The supplied bibliometric record and publications provide measurable evidence of research activity and citation visibility, while the listed studies illustrate several application contexts within sustainable engineering.

References

  1. Elsevier. (n.d.). Scopus author details: Mulatu Kassie Birhanu, Author ID 57204063748. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204063748
  2. ChemElectroChem. (2026). Role of Binders on the Performance of SnO2-Based Gas Diffusion Electrodes for Electrochemical CO2 Reduction to Formic Acid.
    https://doi.org/10.1002/celc.70303
  3. Current Opinion in Chemical Engineering. (2026). Integrated CO2 capture and electrolysis: advancing industrial implementation.
    https://doi.org/10.1016/j.coche.2025.101222
  4. PLOS ONE. (2026). Integrated application of meat waste-derived organic fertilizer and chemical fertilizer in sugarcane cultivation.
    https://doi.org/10.1371/journal.pone.0352193
  5. ORCID. (n.d.). ORCID record: Mulatu Kassie Birhanu.
    https://orcid.org/0000-0001-5287-6862
  6. International Forensic Scientist Awards. (n.d.). Award information and official website.
    forensicscientist.org

Latha Radhadevi | Environmental Science | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Latha Radhadevi
Indian Institute of Tropical Meteorology, India

Latha Radhadevi
Affiliation Indian Institute of Tropical Meteorology
Country India
Scopus ID 55880952000
Documents 43
Citations 610
h-index 14
Subject Area Environmental Science
Event International Forensic Scientist Awards
ORCID 0000-0002-1822-565X

Latha Radhadevi is a researcher affiliated with the Indian Institute of Tropical Meteorology whose documented research profile is situated within Environmental Science. The supplied bibliographic record identifies 43 documents, 610 citations, and an h-index of 14. Her recent publication record addresses environmental monitoring, atmospheric pollution, land-use and land-cover change, evapotranspiration, forest-fire impacts, and air-quality assessment, providing a research portfolio connected to environmental observation and analysis.

Abstract

The research profile of Latha Radhadevi encompasses environmental monitoring and assessment with particular relevance to air quality, particulate matter, forest-fire effects, and environmental controls on hydrological processes. Recent work includes a 2026 study examining heavy-metal exposure and source profiling through leaf-deposited particulate matter in Pune city [1]. Other documented studies examine evapotranspiration under changing land-use and weather conditions, forest-fire effects on air quality, and observed changes in Delhi air quality [2] [3] [4].

Keywords

Environmental Science; air quality; particulate matter; heavy metals; atmospheric pollution; forest fires; land-use and land-cover change; evapotranspiration; environmental monitoring.

Introduction

Environmental research increasingly integrates atmospheric observations, land-surface information, and indicators of pollution exposure to understand changes across urban and regional environments. Radhadevi’s supplied publication record reflects this interdisciplinary setting. The studies cover both direct environmental measurements and analytical approaches for identifying environmental drivers, including particulate deposition, forest fires, weather parameters, and land-use change.

Research Profile

The profile combines environmental observation with assessment of pollution sources and environmental variability. The 2026 article on leaf-deposited particulate matter considers heavy-metal exposure and source profiling in Pune, while the 2025 work on the Chota Nagpur Plateau examines sustained agriculture indicators and relationships involving land-use and land-cover and weather parameters [1] [2]. These themes place the research within applied environmental monitoring and climate-sensitive environmental assessment.

Research Contributions

  • Assessment of heavy-metal exposure and particulate sources using leaf-deposited material in an urban environment [1].
  • Analysis of land-use, weather parameters, evapotranspiration, and agricultural sustainability indicators [2].
  • Investigation of forest-fire effects on air quality in Northeast India [3].

Publications

Selected recent publications include Heavy metal exposure and source profiling based on leaf-deposited particulate matter in Pune city, published in Environmental Monitoring and Assessment on 16 September 2026 [1]; Indicators of sustained agriculture, impacts of LULC and weather parameters on ET: Case study in Chota Nagpur Plateau, published in Environmental and Sustainability Indicators in September 2025 [2]; and Assessing the impact of forest fires on air quality in Northeast India, published in Environmental Science: Atmospheres in 2025 [3]. A 2024 preprint addressed changes in Delhi air quality during 2011–2021 and the impact of mitigation measures [4].

Research Impact

The supplied Scopus metrics indicate 43 indexed documents, 610 citations, and an h-index of 14. These bibliometric indicators provide a quantitative view of documented scholarly visibility and should be interpreted in relation to publication year, disciplinary citation practices, and database coverage. The recent publications demonstrate continuing engagement with environmental monitoring questions involving air pollution, particulate matter, land-surface processes, and fire-related atmospheric effects.

Award Suitability

For an Innovative Research Award within the International Forensic Scientist Awards framework, the documented research can be considered in relation to its environmental monitoring focus, application of analytical approaches, and relevance to contemporary environmental assessment. The supplied publication record provides identifiable evidence of research activity in heavy-metal exposure, air quality, forest fires, and land-surface processes [1] [2] [3].

Conclusion

Latha Radhadevi’s documented research profile is centered on Environmental Science, with recent work spanning particulate pollution, heavy-metal exposure, forest-fire impacts, air-quality assessment, and land-surface processes. The supplied bibliometric record and recent DOI-indexed publications provide measurable and traceable indicators of ongoing scholarly activity.

References

  1. Environmental Monitoring and Assessment. (2026). Heavy metal exposure and source profiling based on leaf-deposited particulate matter in Pune city.
    https://doi.org/10.1007/s10661-026-15906-w
  2. Environmental and Sustainability Indicators. (2025). Indicators of sustained agriculture, impacts of LULC and weather parameters on ET: Case study in Chota Nagpur Plateau.
    https://doi.org/10.1016/j.indic.2025.100836
  3. Environmental Science: Atmospheres. (2025). Assessing the impact of forest fires on air quality in Northeast India.
    https://doi.org/10.1039/D4EA00107A
  4. EGUsphere. (2024). Observed improvement in air quality in Delhi during 2011–2021: Impact of mitigation measures.
    https://doi.org/10.5194/egusphere-2024-803
  5. Elsevier. (n.d.). Scopus author details: Latha Radhadevi, Author ID 55880952000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55880952000
  6. ORCID. (n.d.). Latha Radhadevi ORCID profile.
    https://orcid.org/0000-0002-1822-565X

Guangzhen Si | Engineering | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Guangzhen Si
Affiliation Zhejiang University of Technology
Country China
Scopus ID 57192688905
Documents 17
Citations 359
h-index 6
Subject Area Engineering
Event International Forensic Scientist Awards

Guangzhen Si
Zhejiang University of Technology, China

Guangzhen Si is a researcher affiliated with Zhejiang University of Technology, China, whose documented scholarly profile is associated with engineering research. The available bibliographic record lists 17 documents, 359 citations, and an h-index of 6 in Scopus. [1] These indicators provide a quantitative view of the researcher’s indexed publication and citation activity.

Abstract

This academic recognition profile presents the documented research record of Guangzhen Si in engineering. The available Scopus information identifies 17 indexed documents, 359 citations, and an h-index of 6. [1] A 2026 conference paper further records Si as a co-author of research on multi-scale dynamic adaptive attention mechanisms for cross-domain specific emitter identification, indicating engagement with computational and signal-processing research themes. [2]

Keywords

Engineering; adaptive attention mechanisms; specific emitter identification; cross-domain learning; computational research; research impact; bibliometrics.

Introduction

Guangzhen Si is affiliated with Zhejiang University of Technology and is represented in the Scopus database under author ID 57192688905. [1] The available record places the research profile within Engineering and provides bibliometric indicators that can be used to describe indexed scholarly activity.

Research Profile

The documented research profile combines engineering-oriented scholarly output with work involving computational methods. The reported Scopus indicators of 17 documents and 359 citations, together with an h-index of 6, provide measurable evidence of indexed research activity. [1]

Research Contributions

A recorded 2026 conference contribution titled MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification lists Guangzhen Si among its authors. The work addresses adaptive attention mechanisms in the context of cross-domain specific emitter identification, illustrating an application of machine-learning approaches to an engineering research problem. [2]

Publications

The documented publication record includes the following 2026 conference paper:

  • MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification. H. Zou, M. Wang, J. Wang, G. Si. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST), 2026. [2]

Research Impact

The Scopus record reports 359 citations across 17 documents, with an h-index of 6. [1] These figures describe citation activity within the indexed database and should be interpreted in relation to publication year, field-specific citation practices, and database coverage.

Award Suitability

For the International Forensic Scientist Awards, the available record provides identifiable evidence of engineering research activity, indexed publications, citation impact, and a recent contribution involving adaptive computational methods. [1] [2] Final award assessment should consider the complete nomination materials, verified publication record, originality, and the criteria established by the award organizers.

Conclusion

Guangzhen Si’s documented scholarly profile reflects engineering research activity supported by indexed publication and citation indicators. The 2026 conference contribution on adaptive attention mechanisms provides a specific example of current research involvement, while the reported Scopus metrics offer a quantitative description of the broader indexed record. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Guangzhen Si, Author ID 57192688905. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192688905
  2. Zou, H., Wang, M., Wang, J., & Si, G. (2026). MAAB: Multi-scale Dynamic Adaptive Attention Mechanisms for Cross-Domain Specific Emitter Identification. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (LNICST).
  3. Zhejiang University of Technology. Institutional research and academic information concerning engineering research activities.
  4. International Forensic Scientist Awards. Award information and nomination resources.
    forensicscientist.org

Mohammed Alqahtani | Renewable Energy Technologies | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Mohammed Alqahtani
Cranfield University, Saudi Arabia

Mohammed Alqahtani
Affiliation Cranfield University
Country Saudi Arabia
Scopus ID 60075877100
Documents 3
Citations 14
h-index 1
Subject Area Renewable Energy Technologies
Event International Forensic Scientist Awards

Mohammed Alqahtani is a researcher associated with Cranfield University whose documented research profile includes work in renewable energy technologies, manufacturing sustainability, and circular economy integration. His recent research examines how renewable energy sources can be combined with circular economy practices within industrial settings in Saudi Arabia. [1]

Abstract

Alqahtani’s recent research addresses the integration of circular economy practices and renewable energy sources in manufacturing environments. A 2026 open-access article in Sustainable Environment investigated industrial implementation patterns in Saudi Arabia using two focus groups involving ten participants. The study identified four broad integration patterns involving biogas and remanufacturing, solar power and recycling, wind power and reduction practices, and combined solar and wind applications with multiple circular economy practices. [1]

Keywords

  • Renewable energy
  • Circular economy
  • Sustainable manufacturing
  • Industrial sustainability
  • Saudi Arabia

Introduction

The transition toward resource-efficient manufacturing increasingly involves the interaction of circular economy strategies with renewable energy technologies. Alqahtani’s research contributes to this area by examining these interactions within the Saudi manufacturing context. The published study was received in April 2025, accepted in March 2026, and published online on 18 March 2026. [1]

Research Profile

The available research record places Alqahtani’s work at the intersection of renewable energy, sustainable manufacturing, and circular economy implementation. His documented study uses a qualitative research design and focus-group methodology to examine how manufacturers and other stakeholders understand practical integration pathways. The work considers both implementation opportunities and barriers, providing a context-specific perspective on industrial sustainability. [1]

Research Contributions

The study documents eight circular economy practices alongside three renewable energy sources and organizes their implementation into four observed integration patterns. It also identifies human development, infrastructure, economic considerations, and regulatory consistency as reported barriers, while institutional support, stakeholder engagement, technology investment, and financial assistance are reported as facilitators. [1]

Publications

A documented open-access publication is Manufacturers’ implementation of circular economy practices and renewable energy sources in Saudi Arabia’s industrial plants, co-authored with Mohamed Afy-Shararah and Konstantinos Salonitis and published in Sustainable Environment, volume 12, issue 1, article 2644791. [1]

The article is available under a Creative Commons open-access licence. [1]

Research Impact

The supplied Scopus record lists 3 documents, 14 citations, and an h-index of 1 for Scopus Author ID 60075877100. These indicators provide a quantitative snapshot of the indexed research record and should be interpreted in relation to career stage, publication date, subject area, and database coverage. The 2026 publication further provides a documented contribution to the study of renewable energy and circular economy integration in industrial plants. [1]

Award Suitability

The research profile corresponds thematically with an Innovative Research Award because the documented publication investigates the integration of two sustainability-oriented domains—circular economy practices and renewable energy sources—within manufacturing systems. Its focus on Saudi industrial settings, qualitative stakeholder evidence, identified integration patterns, and implementation barriers provides a specific research context for considering innovation in sustainable manufacturing. [1]

Conclusion

Mohammed Alqahtani’s documented research connects renewable energy technologies with circular economy practices in the manufacturing sector. His 2026 publication provides empirical evidence on integration patterns, barriers, and enabling conditions in Saudi Arabia. Together with the supplied bibliometric record, these materials establish a research profile centered on sustainable industrial transformation and renewable energy integration. [1]

References

  1. Alqahtani, M. F., Afy-Shararah, M., & Salonitis, K. (2026). Manufacturers’ implementation of circular economy practices and renewable energy sources in Saudi Arabia’s industrial plants. Sustainable Environment, 12(1), 2644791.
    https://doi.org/10.1080/27658511.2026.2644791
  2. Taylor & Francis. (2026). Sustainable Environment, Volume 12, Issue 1: Manufacturers’ implementation of circular economy practices and renewable energy sources in Saudi Arabia’s industrial plants.
    https://www.tandfonline.com/doi/10.1080/27658511.2026.2644791
  3. Elsevier. (n.d.). Scopus author details: Mohammed Alqahtani, Author ID 60075877100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60075877100
  4. Alqahtani, M. F., Afy-Shararah, M., & Salonitis, K. (2026). Manufacturers’ implementation of circular economy practices and renewable energy sources in Saudi Arabia’s industrial plants. Open-access article record, Sustainable Environment.
    https://www.tandfonline.com/doi/abs/10.1080/27658511.2026.2644791
  5. Taylor & Francis. (2026). Sustainable Environment: Volume 12, Issue 1. Article 2644791, published online 18 March 2026.
    https://www.tandfonline.com/toc/oaes21/12/1