Ho Soo Lim | Biotechnology | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Ho Soo Lim
Korea Ministry of Food and Drug Safety, South Korea

Ho Soo Lim
Affiliation Korea Ministry of Food and Drug Safety
Country South Korea
Scopus ID 55462874300
Documents 40
Citations 849
h-index 16
Subject Area Biotechnology
Event International Forensic Scientist Awards
ORCID 0000-0002-8549-4016

Ho Soo Lim is a South Korean researcher whose published work includes analytical methods, food-safety assessment, method validation, and measurement of chemical constituents in food matrices. Publicly indexed publications associate Lim with the Korea Ministry of Food and Drug Safety and its food-safety research activities. [1] [2]

Abstract

Ho Soo Lim’s documented research activity is centered on analytical science and food-safety research, with publications addressing analytical method development, method validation, measurement uncertainty, exposure assessment, and determination of food-related chemical constituents. Studies involving Lim have applied techniques including chromatography and mass spectrometry to characterize substances in food products and support reliable analytical measurements. [1] [2] [3]

Keywords

Ho Soo Lim, biotechnology, analytical science, food safety, analytical chemistry, method validation, measurement uncertainty, chromatography, mass spectrometry, food analysis, chemical contaminants, exposure assessment, forensic analytical science.

Introduction

Analytical measurement is an important component of food-safety and regulatory science because reliable identification and quantification of chemical constituents can support surveillance, standards development, exposure assessment, and regulatory decision-making. Lim’s published work reflects this research environment through studies of food additives, naturally occurring substances, and analytical procedures used for their determination. [1] [4]

Research Profile

The supplied bibliometric profile records 40 documents, 849 citations, and an h-index of 16 for Scopus Author ID 55462874300. These values describe the supplied research-profile snapshot and may change as databases update their records.Publicly available publications identify Lim with the Ministry of Food and Drug Safety in South Korea. Research affiliations in indexed articles include the Food Additives and Packaging Division and, in a later publication, the New Hazardous Substances Division of the National Institute of Food and Drug Safety Evaluation. [1] [7]

Research Contributions

One documented contribution concerns the comparison of four analytical approaches for determining sulfites in foods marketed in South Korea. The study evaluated optimized Monier-Williams, modified Rankine, high-performance liquid chromatography, and ion-exchange chromatography approaches, illustrating the application of comparative analytical methodology to food-safety testing. [2]

Publications

Selected publications associated with Ho Soo Lim include the following works. The selection is intended to illustrate documented research themes rather than represent a complete bibliography.

  • Lim, H. S., et al. (2016). Validation and measurement uncertainty evaluation of the GC-MS method for the direct determination of hexamethylenetetramine from foods. Food Science and Biotechnology, 25, 1305–1311.
  • Lim, H.-S., et al. (2014). Comparison of four different methods for the determination of sulfites in foods marketed in South Korea. Food Additives & Contaminants: Part A, 31(2), 187–196.
  • Lim, H. S., et al. (2015). Assessment of caffeine intake in the Korean population. Food Additives & Contaminants: Part A, 32(11), 1786–1798.
  • Kim, D.-B., et al. (2018). Sorbic, benzoic and propionic acids in fishery products: a survey of the South Korean market. Food Additives & Contaminants: Part A, 35(6), 1071–1077.
  • Lim, H. S., et al. (2024). Ultrafast PCR assay for identification of three king crabs—Chionoecetes japonicus, Chionoecetes opilio, and Paralithodes camtschaticus. Food Science and Biotechnology, 34(4), 1055–1062.

Research Impact

The supplied bibliometric indicators of 849 citations and an h-index of 16 provide quantitative measures of the research record as represented in the supplied Scopus profile. Within the published literature, Lim’s work has addressed analytical procedures and food-safety questions that are relevant to chemical measurement and regulatory monitoring. [1] [2]

Award Suitability

For the Innovative Research Award under the International Forensic Scientist Awards, the documented research record provides several areas that can be considered in an academic recognition review. These include analytical method development, validation of measurement procedures, chemical determination in complex food matrices, and collaborative application of analytical technologies. [1] [2]

Conclusion

Ho Soo Lim’s documented scholarly record reflects sustained involvement in analytical and food-safety research associated with the Korea Ministry of Food and Drug Safety. Published studies demonstrate work involving analytical method comparison, method validation, measurement uncertainty, chemical determination, and exposure assessment. [1] [2] [4]

References

    1. Lim, Ho-Soo, et al. (2014). Comparison of four different methods for the determination of sulfites in foods marketed in South Korea. Food Additives & Contaminants: Part A, 31(2), 187–196.
      https://pubmed.ncbi.nlm.nih.gov/24428687/
    2. Kim, Jae-Min, et al. (2016). Method validation and measurement uncertainty for the simultaneous determination of synthetic phenolic antioxidants in edible oils commonly consumed in Korea. Food Chemistry, 213, 19–25.
      https://pubmed.ncbi.nlm.nih.gov/27451150/
    3. Kim, Jae-Min, et al. (2018). Identifying method validation and measurement uncertainty of brominated vegetable oil in soft drinks and carbonated waters commonly consumed in South Korea. Food Chemistry, 246, 323–327. DOI: 10.1016/j.foodchem.2017.11.047.
      https://pubmed.ncbi.nlm.nih.gov/29291856/
    4. Lee, Youngsun, et al. (2017). Simultaneous determination of sodium saccharin, aspartame, acesulfame-K and sucralose in food consumed in Korea using high-performance liquid chromatography and evaporative light-scattering detection. Food Additives & Contaminants: Part A, 34(5), 666–677.
      https://pubmed.ncbi.nlm.nih.gov/28277180/
    5. International Forensic Scientist Awards
      https://www.mfds.go.kr/english/index.do

 

Joonghyun Shim | Biochemistry, Genetics and Molecular Biology | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Joonghyun Shim
Seoul Women’s University, South Korea

Joonghyun Shim
Affiliation Seoul Women’s University
Country South Korea
Scopus ID 57030605400
Documents 34
Citations 636
h-index 14
Subject Area Biochemistry, Genetics and Molecular Biology
Event International Forensic Scientist Awards
ORCID 0000-0003-1025-2722

Joonghyun Shim is a researcher affiliated with Seoul Women’s University whose documented scholarly profile is situated within biochemistry, genetics and molecular biology. The research record includes investigations into cellular responses, natural-product-derived compounds and molecular mechanisms associated with skin biology and aging. Bibliographic information identifies 34 documents, 636 citations and an h-index of 14. [1]

Abstract

Joonghyun Shim’s research profile encompasses molecular and cellular investigations relevant to skin biology, pigmentation, photoaging and biochemical signaling. The documented publications examine mechanisms through which bioactive compounds and inflammatory or oxidative pathways influence dermal fibroblasts and melanogenesis. Recent work on Phycodris fimbriata extract evaluates UVA-associated photoaging through antioxidant enzymes and the ERK1/2 pathway, while earlier studies investigated cycloheterophyllin, gyrophoric acid and prostaglandin E2-related signaling. [2] [3] [4] [5]

Keywords

  • Biochemistry
  • Molecular Biology
  • Dermal Fibroblasts
  • Photoaging
  • Melanin Synthesis

Introduction

Research addressing molecular mechanisms of skin aging and pigmentation integrates biochemistry, cellular biology and natural-product research. Shim’s listed publications contribute to this area by examining cellular signaling, antioxidant responses and biochemical pathways in human dermal fibroblasts and melanogenesis models. The work provides a research context connecting molecular mechanisms with experimentally investigated bioactive substances. [3] [4]

Research Profile

The research profile is characterized by experimental investigation of molecular pathways associated with cellular aging, pigmentation and responses to environmental stress. The 2026 publication on UVA-induced photoaging examines antioxidant enzymes and ERK1/2 signaling in dermal fibroblasts, representing a recent extension of this research direction. [2]

Research Contributions

The documented studies address complementary mechanisms: inhibition of melanin synthesis, cellular responses to UVA exposure, anti-aging activity of gyrophoric acid, and prostaglandin E2 signaling through the E-prostanoid 1 receptor. [3] [4] [5] Collectively, these publications demonstrate a consistent interest in molecular mechanisms that can be investigated through biochemical and cellular approaches.

Publications

  • Phycodris Fimbriata Extract Attenuates UVA-Induced Photoaging in Dermal Fibroblasts by Modulating Antioxidant Enzymes and ERK1/2 Pathway. Current Issues in Molecular Biology, 2026. [2]
  • Inhibitory Effects of Cycloheterophyllin on Melanin Synthesis. Molecules, 2021. [3]
  • Anti-Aging Effects of Gyrophoric Acid on UVA-Irradiated Normal Human Dermal Fibroblasts. Natural Product Communications, 2020. [4]
  • Prostaglandin E2 Induces Skin Aging via E-Prostanoid 1 in Normal Human Dermal Fibroblasts. International Journal of Molecular Sciences, 2019. [5]

Research Impact

The available bibliometric record reports 34 documents, 636 citations and an h-index of 14, providing quantitative indicators of the visibility of the research output. [1] These indicators should be interpreted alongside publication quality, methodological contribution, reproducibility and relevance to the field rather than as standalone measures of research significance.

Award Suitability

The documented publication record aligns with an Innovative Research Award profile through its focus on experimentally investigated molecular mechanisms and bioactive compounds. The research spans pigmentation, oxidative stress, photoaging and signaling pathways, offering a coherent subject-area connection to biochemistry and molecular biology. Award consideration can be informed by the documented publications, research metrics and independent assessment of originality and contribution.

Conclusion

Joonghyun Shim’s academic profile combines measurable bibliometric activity with a focused body of molecular and cellular research. The cited studies provide evidence of sustained investigation into skin-related biochemical mechanisms, while the reported Scopus indicators offer a quantitative overview of research visibility. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Joonghyun Shim, Author ID 57030605400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57030605400
  2. Shim, J. (2026). Phycodris Fimbriata Extract Attenuates UVA-Induced Photoaging in Dermal Fibroblasts by Modulating Antioxidant Enzymes and ERK1/2 Pathway. Current Issues in Molecular Biology.
    https://doi.org/10.3390/cimb48100971
  3. Shim, J. (2021). Inhibitory Effects of Cycloheterophyllin on Melanin Synthesis. Molecules.
    https://doi.org/10.3390/molecules26092526
  4. Shim, J. (2020). Anti-Aging Effects of Gyrophoric Acid on UVA-Irradiated Normal Human Dermal Fibroblasts. Natural Product Communications.
    https://doi.org/10.1177/1934578X20919545
  5. Shim, J. (2019). Prostaglandin E2 Induces Skin Aging via E-Prostanoid 1 in Normal Human Dermal Fibroblasts. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms20225555

Okopi Johnson Odumu | Earth and Planetary Sciences | Innovative Research Award

Published on by Forensic Scientist Awards

Innovative Research Award

Okopi Johnson Odumu
University of Jos, Nigeria

Okopi Johnson Odumu
Affiliation University of Jos
Country Nigeria
Scopus ID 60151792300
Documents 1
Citations 1
h-index 1
Subject Area Earth and Planetary Sciences
Event International Forensic Scientist Awards
ORCID 0009-0003-4894-9653

Okopi Johnson Odumu is a researcher affiliated with the University of Jos, Nigeria, whose documented research activity falls within Earth and Planetary Sciences. His listed scholarly record includes research addressing radiometric and geochemical indicators associated with anthills and their potential application to mineral exploration in the Bashar area of the Upper Benue Trough, North Central Nigeria. The research was published in Discover Minerals on 16 September 2026. [1]

Abstract

The documented research focuses on the use of radiometric and geochemical indicators in anthills as guides for mineral exploration within the Bashar sector of the Upper Benue Trough in North Central Nigeria. The study connects surface materials associated with anthills to geological investigation, presenting an approach relevant to mineral exploration and Earth science research. The publication appeared in Discover Minerals in September 2026. [1]

Keywords

  • Mineral exploration
  • Radiometric indicators
  • Geochemical indicators
  • Anthills
  • Upper Benue Trough

Introduction

Mineral exploration commonly integrates geological, geochemical and geophysical evidence to identify areas that may warrant further investigation. Within this context, the study by Okopi Johnson Odumu examines anthill-associated materials as potential indicators for mineral exploration in a defined geological setting in Nigeria. The work is specifically associated with the Bashar area of the Upper Benue Trough, providing a regional focus for its Earth science contribution. [1]

Research Profile

Odumu’s documented scholarly profile is presently represented by one Scopus-indexed document, one citation and an h-index of 1. His research classification is within Earth and Planetary Sciences, while his identified publication addresses the intersection of geochemical and radiometric observations with mineral exploration. These records provide a concise bibliometric snapshot of the researcher’s indexed scholarly activity. [2]

Research Contributions

The principal contribution documented in the available publication is the investigation of anthills as guides for mineral exploration. By considering radiometric and geochemical indicators in relation to anthill materials, the research addresses a field-based pathway for interpreting geological information in the Bashar region. Its significance is therefore connected to methodological application within mineral exploration rather than to a broad claim of universal applicability. [1]

Publications

The identified publication is Radiometric and geochemical indicators in anthills as guides for mineral exploration in Bashar Upper Benue Trough North Central Nigeria, published in Discover Minerals on 16 September 2026. It is recorded as a journal article and is associated. [1]

Research Impact

The current indexed metrics document one Scopus citation and an h-index of 1. Because the publication is dated September 2026, these bibliometric indicators represent an early stage of indexed impact and should be interpreted in relation to publication age and future citation development. [2]

Award Suitability

For an Innovative Research Award, the documented work provides a clearly identifiable research theme involving radiometric and geochemical indicators, anthill materials and mineral exploration. Its relevance can be considered in relation to the award’s emphasis on research innovation, while the available bibliometric record provides supporting documentation of indexed scholarly activity. [1] [2]

Conclusion

Okopi Johnson Odumu’s documented research profile is centered on Earth and Planetary Sciences, with a published study examining radiometric and geochemical indicators in anthills for mineral exploration in the Upper Benue Trough. The publication establishes a specific research contribution, while the available Scopus record provides an initial bibliometric basis for documenting its scholarly presence.

References

  1. Odumu, O. J. (2026). Radiometric and geochemical indicators in anthills as guides for mineral exploration in Bashar Upper Benue Trough North Central Nigeria. Discover Minerals. DOI: 10.1007/s44346-026-00020-z.
    https://doi.org/10.1007/s44346-026-00020-z
  2. Elsevier. (n.d.). Scopus author details: Okopi Johnson Odumu, Author ID 60151792300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60151792300
  3. ORCID. (n.d.). Okopi Johnson Odumu, ORCID iD 0009-0003-4894-9653.
    https://orcid.org/0009-0003-4894-9653
  4. Springer Nature. (2026). Discover Minerals. Publication record associated with DOI 10.1007/s44346-026-00020-z.
  5. International Forensic Scientist Awards. (n.d.). Official Award Website.
    forensicscientist.org

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