Hatem Abuelizz | Quantitative Research | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Hatem Abuelizz — King Saud University, Saudi Arabia

Hatem Abuelizz
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 56667652300
Documents 149
Citations 2,037
h-index 24
Subject Area Quantitative Research
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-7092-7544

Hatem Abuelizz is a researcher affiliated with King Saud University whose indexed scholarly record comprises 149 documents, 2,037 citations, and an h-index of 24. These bibliometric indicators provide a quantitative basis for considering research productivity, scholarly visibility, and citation influence within the context of the International Research Data Analysis Excellence & Awards.[1]

Abstract

This academic recognition profile presents Hatem Abuelizz in relation to the Best Researcher Award within the International Research Data Analysis Excellence & Awards. The assessment emphasizes quantitative indicators, including publication volume, citation count, and h-index, while positioning these measures within a broader framework of research productivity, scholarly visibility, and data-oriented research evaluation.[1]

Keywords

  • Quantitative Research
  • Research Data Analysis
  • Bibliometric Evaluation
  • Research Productivity
  • Citation Impact
  • h-index
  • Scholarly Research
  • Research Excellence

Introduction

Quantitative research applies numerical measurement, statistical methods, and structured datasets to investigate research questions objectively. Within research data analysis, quantitative indicators can support systematic assessment of productivity and scholarly influence. Hatem Abuelizz’s indexed record provides measurable evidence that can be considered when evaluating research performance for an international recognition program.[1]

Research Profile

Hatem Abuelizz is affiliated with King Saud University in Saudi Arabia. The supplied Scopus information identifies 149 documents, 2,037 citations, and an h-index of 24. His ORCID record provides a persistent researcher identifier, while Scopus supplies an indexed bibliometric profile useful for structured quantitative research evaluation and scholarly record verification.[1][2]

Research Contributions

The documented research record indicates sustained scholarly activity measured through indexed publications and citation accumulation. A portfolio of 149 documents represents substantial publication activity, while 2,037 citations and an h-index of 24 provide complementary quantitative indicators. These measures can assist reviewers in examining research productivity, influence, continuity, and visibility across scholarly outputs.[1]

Publications

The supplied Scopus profile records 149 documents associated with Hatem Abuelizz. This publication count provides a quantitative measure of documented scholarly output, although publication totals alone do not establish research quality. Detailed assessment should additionally consider article relevance, methodological rigor, venue quality, collaboration, citation distribution, and individual contribution to published research.[1]

Research Impact

Research impact can be examined through multiple complementary indicators. The reported 2,037 citations reflect accumulated scholarly attention, while an h-index of 24 indicates repeated citation performance across a substantial portion of the publication record. Together, these measures provide quantitative evidence of visibility and influence that can inform comparative research assessment.[1]

Award Suitability

For the International Research Data Analysis Excellence & Awards, the documented publication and citation indicators provide relevant quantitative evidence for evaluating research achievement. The combination of 149 documents, 2,037 citations, and an h-index of 24 demonstrates a substantial indexed scholarly record. Final award suitability should also incorporate qualitative review and field-specific evidence.[1][3]

Conclusion

Hatem Abuelizz presents a measurable scholarly profile relevant to quantitative research evaluation. The reported publication count, citation total, and h-index establish a substantial bibliometric record for consideration in the Best Researcher Award. These indicators support structured assessment while recognizing that comprehensive evaluation should combine quantitative evidence with research quality, relevance, originality, and contribution.[1][2]

References

  1. Synthesis and anticancer activity of new quinazoline derivatives.
    https://www.researchgate.net/publication/316360785_Synthesis_and_anticancer_activity_of_new_quinazoline_derivatives
  2. Experimental and theoretical evaluation of eco-friendly of pyrhazole-amide conjugates on the corrosion inhibition performance for mild steel in 1 M HCl solution.
    https://www.researchgate.net/publication/395361917_Experimental_and_theoretical_evaluation_of_eco-friendly_of_pyrhazole-amide_conjugates_on_the_corrosion_inhibition_performance_for_mild_steel_in_1_M_HCl_solution
  3. An in-depth study of indolone derivatives as potential lung cancer treatment
    https://www.researchgate.net/publication/388072633_An_in-depth_study_of_indolone_derivatives_as_potential_lung_cancer_treatment

Juanjuan Zhang | Descriptive Analytics | Women Researcher Award

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Women Researcher Award

Juanjuan Zhang  – Wenzhou Medical Uni

Researcher Information
Affiliation Wenzhou Medical Uni
Country China
Scopus ID 23993184100
Documents 47
Citations 1140
h-index 22
Subject Area Descriptive Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0006-2308-8078

Juanjuan Zhang is a researcher affiliated with Wenzhou Medical Uni, China. Her scholarly work demonstrates consistent contributions to descriptive analytics and interdisciplinary health-related research. With a substantial publication record, citation impact, and recognized academic profile, her research reflects sustained engagement with evidence-based scientific investigation and international scholarly collaboration.[1]

1. Abstract

Juanjuan Zhang has established an active academic profile through research emphasizing descriptive analytics, scientific evidence, and interdisciplinary collaboration. Her publication record, citation performance, and scholarly visibility demonstrate meaningful contributions to research advancement, making her achievements suitable for academic recognition within international research award programs.[1]

2. Keywords

  • Women Researcher Award
  • Descriptive Analytics
  • Research Excellence
  • Scientific Publications
  • Academic Recognition

3. Introduction

Juanjuan Zhang has contributed to descriptive analytics through research that integrates analytical methodologies with healthcare and scientific investigations. Her academic activities emphasize data-driven evidence, methodological rigor, and collaborative scholarship, supporting the advancement of knowledge across multidisciplinary research environments while maintaining consistent publication quality and scholarly visibility.[1]

4. Research Profile

Affiliated with Wenzhou Medical Uni, Juanjuan Zhang has developed a research portfolio comprising forty-seven indexed publications with notable citation performance and an h-index of twenty-two. Her scholarly profile reflects continuous engagement in evidence-based research, international dissemination, and measurable academic influence across relevant scientific disciplines.[2]

5. Research Contributions

Her research contributions focus on applying descriptive analytics to interpret complex datasets, improve scientific understanding, and support informed decision-making. Through collaborative publications and rigorous analytical approaches, she has contributed to knowledge generation, methodological refinement, and practical applications benefiting contemporary academic and healthcare research communities.[2]

6. Publications

Juanjuan Zhang’s publication record includes peer-reviewed articles indexed in internationally recognized databases. These publications demonstrate consistent scholarly productivity, interdisciplinary collaboration, and research quality. Her documented output reflects sustained contributions that continue to enhance scientific communication, evidence synthesis, and academic development across specialized research domains.[2]

7. Research Impact

With more than one thousand citations and a strong h-index, her research has achieved measurable scholarly impact. Citation performance indicates that her publications have influenced subsequent investigations, supporting knowledge dissemination, academic collaboration, and continued development within descriptive analytics and related scientific research fields.[3]

8. Award Suitability

Juanjuan Zhang demonstrates qualifications consistent with recognition through the Women Researcher Award. Her publication achievements, citation metrics, research quality, interdisciplinary collaborations, and sustained academic contributions collectively illustrate a strong record of scholarly excellence aligned with the objectives of international research recognition programs.[3]

9. Conclusion

The academic accomplishments of Juanjuan Zhang reflect sustained dedication to scientific inquiry, descriptive analytics, and evidence-based research. Her scholarly productivity, measurable research influence, and commitment to advancing knowledge support her recognition as a distinguished contributor deserving consideration for prestigious international research awards.[3]

10. External Links

11. References

  1. Leber’s hereditary optic neuropathy–associated ND1 3733G>C mutation ameliorates the mitochondrial quality control and cellular homeostasis
    https://www.sciencedirect.com/science/article/pii/S0021925825023142
  2. Mechanism of BNIP3-mediated mitophagy in m.3635G>A related Leber hereditary optic neuropathy.
    https://www.researchgate.net/publication/391667678_Mechanism_of_BNIP3-mediated_mitophagy_in_m3635GA_related_Leber_hereditary_optic_neuropathy
  3. Defective post-transcriptional modification of tRNA disrupts mitochondrial homeostasis in Leber’s hereditary optic neuropathy.
    https://www.sciencedirect.com/science/article/pii/S0021925824022294

Büşra Buran | Quantitative Research | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Büşra Buran
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57264867400
Documents 7
Citations 97
h-index 3
Subject Area Quantitative Research
Event Research Data Analysis Awards
ORCID 0000-0003-4086-8560
Büşra Buran
Istanbul Technical University, Turkey

Büşra Buran is a researcher affiliated with Istanbul Technical University whose scholarly activities focus on quantitative research and analytical methodologies. Her publication record, citation profile, and growing academic visibility demonstrate an active contribution to research supported by internationally recognized indexing services.[1]

Abstract

This article summarizes the academic profile of Büşra Buran in recognition of scholarly achievements relevant to the Best Researcher Award. The overview reflects publication activity, citation indicators, and contributions documented through internationally indexed academic databases.[1]

Keywords

Quantitative Research, Data Analysis, Scientific Publications, Citation Analysis, Research Performance, Academic Excellence, Scholarly Impact.

Introduction

Academic recognition is commonly supported by measurable research indicators together with evidence of sustained scientific contribution. Indexed publications, citation performance, and collaboration records provide objective references for evaluating research excellence.[2]

Research Profile

Büşra Buran has authored seven indexed documents with ninety-seven citations and an h-index of three according to available Scopus records. Her work demonstrates continued engagement with quantitative research supported by international scholarly communication standards.[1]

Research Contributions

Her research contributes to the advancement of quantitative methodologies through analytical investigation and evidence-based interpretation. These studies strengthen the understanding of data-driven approaches while encouraging reproducible and methodologically rigorous scientific practice.[3]

Publications

The publication portfolio includes peer-reviewed journal articles indexed in international databases. The documented research output demonstrates steady academic productivity and contributes to the visibility of institutional research within the broader scientific community.[4]

Research Impact

Citation metrics indicate that the published work has received recognition from subsequent studies. Such indicators, although not the sole measure of quality, provide useful evidence of scholarly influence and continuing relevance within the research community.[2]

Award Suitability

Based on documented publication metrics, citation performance, and research continuity, Büşra Buran demonstrates qualifications consistent with the evaluation criteria commonly applied for academic recognition programs such as the Research Data Analysis Awards.[5]

Conclusion

The available scholarly indicators present a concise profile of an active researcher contributing to quantitative research. Continued publication, collaboration, and citation growth may further enhance academic visibility and strengthen future research recognition opportunities.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Büşra Buran, Author ID 57264867400. Scopus.
    https://www.scopus.com/pages/authors/57264867400
  2. Gökaşar, I., Buran, B., & Dündar, S. (2018). Modelling the quality of bus services by using factor analysis on urban bus satisfaction survey data: Case of IETT.
  3. Buran, B. (2025). Passenger satisfaction modeling in public bus transportation based on business model approach: Ten city case studies. Case Studies on Transport Policy, 21, 101472.
  4. ORCID. (n.d.). Researcher Identifier Registry.
    https://orcid.org/0000-0003-4086-8560
  5. Buran, B. (2025). Evaluation of service quality in public transportation using a fuzzy hybrid method based on SERVQUAL approach: Istanbul case study. Journal of Intelligent Systems in Current Computer Engineering, 3(1).
    https://doi.org/10.2174/0130505070348805250219132412

Ludivine Beaud-Henry | Descriptive Analytics | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Ludivine Beaud-Henry
Affiliation CHU de Clermont-Ferrand
Country France
Documents 3
Citations 11
Subject Area Descriptive Analytics
Event Research Data Analysis Awards
ORCID 0009-0001-6270-1289

Ludivine Beaud-Henry
CHU de Clermont-Ferrand , France

Ludivine Beaud-Henry is affiliated with CHU de Clermont-Ferrand, France, where her scholarly activities contribute to healthcare research and descriptive analytics. Her published work reflects an evidence-based approach to clinical investigation, emphasizing systematic data interpretation and meaningful healthcare outcomes. The academic profile demonstrates an emerging research record supported by peer-reviewed publications and measurable citation impact.[1]

Abstract

This article summarizes the academic profile of Ludivine Beaud-Henry, highlighting contributions to descriptive analytics within healthcare research. The available publication record demonstrates involvement in clinical investigations supported by systematic data analysis, scientific reporting, and interdisciplinary collaboration. Citation performance and scholarly dissemination indicate a developing research portfolio aligned with evidence-based medical practice and responsible scientific communication.[2]

Keywords

Descriptive Analytics, Clinical Research, Healthcare Data, Medical Science, Evidence-Based Medicine, Scientific Publications, Data Interpretation, Hospital Research.

Introduction

Modern healthcare research increasingly relies on descriptive analytics to organize clinical observations into meaningful evidence for patient care and medical decision-making. Researchers contribute by interpreting data accurately, publishing validated findings, and supporting collaborative scientific advancement across healthcare institutions.[3]

Research Profile

The research profile reflects participation in peer-reviewed clinical studies with measurable scholarly visibility. Published articles and citation records demonstrate commitment to scientific quality, responsible research practices, and continuous academic development within descriptive healthcare analytics.[1]

Research Contributions

Research activities emphasize systematic evaluation of clinical information to improve evidence interpretation, strengthen diagnostic understanding, and support reliable healthcare decision-making through structured descriptive analytics. Collaborative investigations with healthcare professionals encourage interdisciplinary knowledge exchange, improve research quality, and promote comprehensive analysis of complex clinical datasets within hospital-based studies.

Publications

The available publication record includes three indexed research documents addressing clinical and healthcare-related topics. These publications demonstrate consistent participation in scientific dissemination while contributing measurable citation performance within the academic community.[4]

Research Impact

Current bibliometric indicators include three scholarly documents and eleven citations, reflecting emerging academic recognition. These metrics illustrate continuing visibility while supporting future opportunities for broader scientific influence and interdisciplinary collaboration.[2]

Award Suitability

The research profile aligns with evaluation principles commonly associated with research excellence awards, including scientific integrity, publication quality, collaboration, and contribution to healthcare knowledge through descriptive analytics. These characteristics support consideration for academic recognition programs.[5]

Conclusion

Ludivine Beaud-Henry has established an emerging academic profile through clinical research, peer-reviewed publications, and measurable citation performance. Continued scholarly activity and interdisciplinary collaboration are expected to strengthen future research impact and scientific contributions.

External Links

References

  1. ORCID. (n.d.). Ludivine Beaud-Henry ORCID record.
    https://orcid.org/0009-0001-6270-1289
  2. Beaud-Henry, L., Mulliez, A., Renault, A., Bouton, K., Avan, P., & Giraudet, F. (2026). Exploring electrode montages to optimize the non-invasive clinical recording of auditory evoked AP/Wave I. Clinical Neurophysiology Practice. Advance online publication.
    https://www.researchgate.net/profile/Ludivine-Beaud-Henry
  3. Giraudet, F., Beaud-Henry, L., Ismail, S., Marx, M., & Legois, Q. (2026). Electrocochleography: Techniques and practical considerations. Neurophysiologie Clinique. Advance online publication.
    https://www.researchgate.net/profile/Ludivine-Beaud-Henry
  4. Giraudet, F., Mulliez, A., de Resende, L. M., Beaud, L., Benichou, T., Brusseau, V., Tauveron, I., & Avan, P. (2022). Impaired auditory neural performance, another dimension of hearing loss in type-2 diabetes mellitus. Diabetes & Metabolism, 48(6), Article 101360.

Rifumo Chauke | Quantitative Research | Research Excellence Award

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Mr. Rifumo Chauke | Quantitative Research | Research Excellence Award

University of Pretoria | South Africa

Mr. Rifumo Chauke is a PhD candidate in Physics at the University of Pretoria, specializing in nuclear materials science and advanced data analysis. With a strong academic foundation in astrophysics, his research focuses on defect modeling, multi-technique data synthesis, and the characterization of silicon carbide under irradiation. He possesses hands-on expertise in laboratory techniques such as AFM, Raman spectroscopy, RBS, TEM, and SEM, alongside proficiency in Python, data visualization, and statistical analysis. Rifumo has demonstrated leadership through tutoring and research roles, contributing to academic mentorship and collaborative projects, and is actively transitioning into data science applications within mining and industrial sectors.

Citation Metrics (Scopus)

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Featured Publications

Xueye Chen | Regression analysis | Research Excellence Award

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Prof. Xueye Chen | Regression analysis | Research Excellence Award

Ludong University | China

Professor Xueye Chen is a distinguished academic at Ludong University, serving as a permanent Professor in the College of Transportation since March. With a doctoral degree and over 11 years of professional experience, his expertise lies in MEMS, with a strong research focus on microfluidics and flexible intelligent sensing systems. He has authored 174 high-impact journal publications in leading outlets such as Physics of Fluids, Chemical Engineering Journal, and ACS Applied Materials & Interfaces. His research spans wearable technologies, healthcare, and modern agriculture, emphasizing micro-nano manufacturing and advanced sensing applications. Recognized for his excellence, he has led multiple funded projects and holds several patents, contributing significantly to innovation in intelligent systems and health monitoring.

Citation Metrics (Scopus)

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Featured Publications

Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

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Mr. Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

Clinic for Urology, University Medicine Essen | Germany

Mr.Christopher Darr is a German board-certified urologist and Privatdozent at the Clinic and Polyclinic for Urology, Pediatric Urology and Uro-Oncology at University Hospital Essen. After completing his medical studies at the University of Duisburg-Essen and obtaining his medical license, he pursued specialist training and an academic career in urology, becoming a consultant urologist and later senior consultant. He earned his doctorate with distinction (cum laude) and completed his habilitation, receiving the venia legendi in urology, with a research focus on molecular intraoperative diagnostics in high-risk prostate cancer. Dr. Darr holds key leadership roles in certified prostate and kidney cancer centers, contributes to national clinical guidelines, and serves as a reviewer for leading international oncology and urology journals.

Citation Metrics (Scopus)

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Featured Publications

Valentin Menoury | Agriculture science | Young Scientist Award

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Mr. Valentin Menoury | Agriculture science | Young Scientist Award

National Research Institute for Agriculture, Food and Environment (INRAE) | France

PUBLICATION PROFILE

Orcid

🎓 EARLY ACADEMIC PURSUITS

Mr. Valentin Laurent Sylvain Menoury embarked on his academic journey with a strong foundation in agricultural sciences. He graduated as an Agricultural Engineer from ESA (École Supérieure d’Agricultures) in Angers, France. Building on this foundation, he pursued a Master of Science in Animal Nutrition and Metabolism at Wageningen University and Research (WUR), The Netherlands, where he graduated with cum laude distinction. His early academic focus demonstrated a deep interest in sustainable animal nutrition and the intersection between feed processing and animal health.

👨‍🔬 PROFESSIONAL ENDEAVORS

Currently, Mr. Menoury is a PhD student at UMR Herbivores, INRAE – the French National Research Institute for Agriculture, Food and Environment. His research tackles a crucial challenge in feed sustainability: replacing hexane, a toxic and petroleum-based solvent used in oilseed processing, with 2-methyloxolane, a more sustainable, biobased alternative. This aligns with global goals for greener and safer food systems. In parallel, he has engaged in one industry consultancy project and has co-authored one journal article indexed in SCI/Scopus.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Valentin’s primary research assesses the nutritional value of 2-methyloxolane-defatted oilseed meals in dairy cow diets and evaluates their impact on milk quality. His work is pioneering in that it is the first study to report n-hexane residues in milk from cows fed with hexane-defatted soybean meal. Additionally, his application of equivalence testing in livestock feeding trials marks a methodological breakthrough. Until now, most studies relied on non-significant results from traditional difference testing. His collaboration with statisticians from WUR underlines his interdisciplinary approach and dedication to improving research standards in animal science.

🌍 IMPACT AND INFLUENCE

By addressing both environmental and food safety concerns, Mr. Menoury’s work contributes significantly to the modernization of feed processing practices. His research paves the way for broader adoption of biobased solvents and more statistically robust evaluation techniques. The implications of his study stretch beyond dairy science, influencing policy, feed manufacturing, and consumer health. His findings are already encouraging other researchers and institutions to reconsider solvent safety in feed production.

📚 ACADEMIC CITES AND RECOGNITION

Although early in his academic career, Valentin has published one peer-reviewed article and is active on platforms like ORCID and HAL, where his research contributions are accessible. While his citation index is currently not available (NA), his innovative methods and collaborative spirit have begun earning recognition in the research community. He has also participated in data analysis challenges, receiving commendation from the Research Data Analysis platform.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Mr. Menoury aims to continue transforming animal nutrition practices by advancing biobased alternatives in feed production and advocating for rigorous statistical methods in agricultural science. His legacy will likely include driving the transition toward safer, more sustainable livestock feeding systems and inspiring future scientists to integrate sustainability, innovation, and methodological integrity in their work.

 📚 TOP NOTES PUBLICATIONS

Replacing hexane with 2-methyloxolane for defatting soybean meal fed to dairy cows: Effects on dairy performance and nitrogen partitioning

  • Authors: V. Menoury, A. Ferlay, C. Ginane, G. Cantalapiedra-Hijar, S. Lemosquet, D. Andueza, G.G.R. Leday, J. Engel, P. Nozière

  • Journal: Journal of Dairy Science

  • Year: 2025

  • DOI: 10.3168/jds.2024-25860

 Productive performance of dairy cows fed with 2-methyloxolane defatted soybean, rapeseed, and sunflower meals

  • Authors: Valentin Menoury, Anne Ferlay, Pierre Nozière

  • Year: 2024

  • DOI: 10.5281/zenodo.13921344

 Des parcours variés vers le doctorat (bac+8), à toi de créer le tien !

  • Authors: Blandine Mora, Lucie Auzance, Laurianne Voland, Clément Brosse, Valentin Menoury

  • Year: 2024

  • DOI: 10.5281/zenodo.13906958

2-methyloxolane can replace hexane for defatting soybean meal fed to cows without affecting dairy performance, rumen volatile fatty acid proportions and major fatty acid secretion in milk

  • Authors: Valentin Menoury, Pierre Noziere, G. Leday, J. Engel, Anne Ferlay

  • Year: 2024

  • DOI: hal-04743844

 Replacing hexane by 2-methyloxolane for defatting soybean meal does not impair fattening performance of beef cattle supplemented with methionine

  • Authors: Carlos Garcia-Vazquez, Valentin Menoury, Pascal Faure, Lorène Salis, Anne Ferlay, Pierre Noziere, Gonzalo Cantalapiedra-Hijar

  • Year: 2024

Gadissa Tokuma Gindaba | Statistical Methods | Best Researcher Award

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Mr. Gadissa Tokuma Gindaba | Statistical Methods | Best Researcher Award

Haramaya University | Ethiopia

PUBLICATION PROFILE

Orcid

Mr. Gadissa Tokuma Gindaba

🎓 Chemical Engineering Lecturer & Researcher | Haramaya University

Professional Summary

A dynamic, motivated, and highly productive chemical engineering graduate with advanced research expertise and analytical skills. Mr. Gadissa is passionate about advancing research in various fields, including water and wastewater treatment, green chemistry, alternative energy sources, carbon capture, and biopesticides. With a drive to solve critical societal challenges, he aims to make a positive impact through innovative engineering solutions. His goal is to contribute as a researcher and academician in addressing complex engineering problems.

Education

🎓 M.Sc. in Chemical Engineering (Process Engineering)
Jimma University | Awarded: February 2021
CGPA: 3.89/4
Thesis: Green Synthesis, Characterization, and Application of Metal Oxide Nanoparticles for Mercury Removal from Aqueous Solution
Supervisor: Dr. Eng. Hundessa Dessalegn Demsash

🎓 B.Sc. in Chemical Engineering

Jimma University | Awarded: July 2017
CGPA: 3.65/4
Thesis: Extraction and Characterization of Natural Protein (Keratin) From Waste Chicken Feather
Supervisor: Mr. Samuel Gesesse Filate

Research Interests

💧 Water & Wastewater Treatment
🔬 Emerging Contaminants
⚗️ Advanced Oxidation Processes
🌱 Development of Alternative Energy Sources
🌍 Sustainable Packaging & Construction
🧪 Green Chemistry & Nanotechnology
💡 Catalysis & Reactions
🔬 Process Development for Bio-based Materials
🌱 Carbon Capture & Utilization

Research Experience

🧪 Synthesis & Characterization of Nanomaterials: Developed and characterized metal oxide nanoparticles via green protocols for mercury removal.
🧑‍🔬 Water Treatment Studies: Investigated Fenton-oxidation reactions for pesticide residue removal.
🔬 Material Analysis: Analyzed synthesized nanomaterials using FTIR, SEM, XRD, and TGA techniques.
📊 Statistical Analysis: Optimized parameters for heavy metal removal using Design Expert software (RSM with CCD).
🌱 Alternative Energy: Produced and optimized bioethanol from waste potato and explored renewable energy production from waste biomasses.
🌿 Biopesticides: Developed bioinsecticides from plant extracts like Vernonia amygdalina and Ricinus communis for crop protection.
💉 Chemical Analysis: Used HPLC to investigate and quantify organophosphate pesticide residues.
📝 Grant Writing & Publication: Contributed to grant writing and publishing research in peer-reviewed journals.
♻️ Waste Material Utilization: Extracted and characterized keratin from waste chicken feathers.

Work Experience

👨‍🏫 Chemical Engineering Lecturer
Haramaya University | March 2021 – Present & October 2017 – September 2018

  • Taught and presented courses including Process Dynamics, Control, Reaction Engineering, Thermodynamics, Energy Audit, and more.

  • Supervised and mentored undergraduate and graduate students on thesis projects.

  • Delivered tutorials and practical sessions for Chemical Engineering students.

  • Prepared course materials, graded exams, and evaluated student performance.

Mr. Gadissa’s expertise and passion for research in sustainable technologies and chemical engineering drive his dedication to making meaningful contributions to science and society.

📚 TOP NOTES PUBLICATIONS 

Statistical analysis and optimization of mercury removal from aqueous solution onto green synthesized magnetite nanoparticle using central composite design

Biomass Conversion and Biorefinery
2025-02 | Journal article
DOI: 10.1007/s13399-024-05610-5
Contributors: Gadissa Tokuma Gindaba; Hundessa Dessalegn Demsash

Source:check_circle

Crossref

Optimization of fermentation condition in bioethanol production from waste potato and product characterization

Biomass Conversion and Biorefinery
2024-02 | Journal article
DOI: 10.1007/s13399-022-02974-4
Contributors: Getachew Alemu Tenkolu; Kumsa Delessa Kuffi; Gadissa Tokuma Gindaba

Source:check_circle

Crossref

RSM‐, ANN‐, and GA‐Based Process Optimization for Acid Centrifugation Treatment of Cane Molasses Toward Mitigating Calcium Oxide Fouling in Ethanol Plant Heat Exchanger

International Journal of Chemical Engineering
2024-01 | Journal article
DOI: 10.1155/2024/2744213
Contributors: Lata Deso Abo; Sintayehu Mekuria Hailegiorgis; Mani Jayakumar; Sundramurthy Venkatesa Prabhu; Gadissa Tokuma Gindaba; Abas Siraj Hamda; B. S. Naveen Prasad; Maksim Mezhericher

Source:check_circle

Crossref

Bioethanol production from agricultural residues as lignocellulosic biomass feedstock’s waste valorization approach: A comprehensive review

Science of The Total Environment
2023-06-25 | Review
DOI: 10.1016/j.scitotenv.2023.163158
Part of ISSN: 0048-9697
Contributors: Mani Jayakumar; Gadissa Tokuma Gindaba; Kaleab Bizuneh Gebeyehu; Selvakumar Periyasamy; Abdisa Jabesa; Gurunathan Baskar; Beula Isabel John; Arivalagan Pugazhendhi

Source:Self-asserted source

Gadissa Tokuma Gindaba

Green synthesis, characterization, and application of metal oxide nanoparticles for mercury removal from aqueous solution

Environmental Monitoring and Assessment
2023-01 | Journal article
DOI: 10.1007/s10661-022-10586-8
Contributors: Gadissa Tokuma Gindaba; Hundessa Dessalegn Demsash; Mani Jayakumar

Niansheng Tang | Statistical Methods | Best Researcher Award

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Prof Dr. Niansheng Tang | Statistical Methods | Best Researcher Award

Yunan University | China

Publication Profile

Scopus

Orcid

👨‍🏫 Early Academic Pursuits

Prof. Dr. Niansheng Tang is a distinguished scholar affiliated with Yunnan University, China. His academic journey started with a series of significant achievements and certifications, culminating in his specialization in statistical and nonlinear models. His academic foundation includes attending key international training sessions and engaging with vital academic societies that contributed to his development as a respected academic in his field.

💼 Professional Endeavors and Career

Dr. Tang’s career has been characterized by a series of high-level academic positions. From 2000 to 2020, he held various teaching and research roles, including significant appointments at Yunnan University. He has been deeply involved in statistical research, with a focus on nonlinear models, reproductive dispersion, and statistical inference for incomplete data. His roles have also included administrative and leadership positions within academic organizations and societies.

🔬 Research Focus and Contributions

Dr. Tang’s primary research focuses on statistical modeling, particularly in areas like nonlinear regression, incomplete data inference, and applications in social, economic, and biomedical studies. He has been the principal investigator for multiple funded projects from the Natural Science Foundation of China, Yunnan Province, and the National Social Science Foundation of China. His work has contributed to the understanding of complex data analysis and its application in various fields.

🌍 Impact and Influence

Dr. Tang has made significant contributions to the field of statistics, with his work influencing various sectors including social sciences, economics, and biomedical research. He has been involved with several prominent academic journals and has contributed to the dissemination of knowledge in his field. His research has impacted both theoretical and applied aspects of statistical modeling, and his efforts have been acknowledged globally.

📚 Academic Cites and Recognition

Dr. Tang’s research is widely cited, with his work featured in leading international journals. He has received multiple awards for his contributions to statistical theory and its application in diverse fields. His impact in the statistical community is reflected through various accolades, including recognition as a member of several esteemed academic bodies such as the ISI and the IMS.

💻 Technical Skills and Expertise

With expertise in statistical theory and computational methods, Dr. Tang has advanced the understanding of complex data structures through his work on generalized nonlinear models. His technical proficiency extends to research in incomplete data models and the development of inference methods applicable to small sample sizes, particularly in biomedical studies.

🎓 Teaching Experience

Throughout his career, Dr. Tang has played an important role in mentoring and educating the next generation of statisticians. He has taught various courses at Yunnan University and has supervised numerous graduate students. His teaching style combines theoretical knowledge with practical application, making him a highly regarded educator.

🏛️ Legacy and Future Contributions

Dr. Tang’s legacy in the field of statistics is built on his groundbreaking research, dedication to education, and service to academic societies. Moving forward, he aims to continue influencing the development of statistical methodologies and applying them to emerging areas such as big data analysis and artificial intelligence. His future contributions will likely continue to shape both academic and practical advancements in his field.

🔍 Ongoing Research and Projects

Dr. Tang’s recent and ongoing projects focus on the statistical analysis of reproductive dispersion models, social sciences, and biomedical research. His work continues to garner support from national funding bodies and academic institutions, ensuring the continued impact of his research.

Publication Top Notes

Federated Learning based on Kernel Local Differential Privacy and Low Gradient Sampling
    • Authors: Yi Chen, Dan Chen, Niansheng Tang
    • Journal: IEEE Access 📡
    • Year: 2025 🗓️
The impact of green digital economy on carbon emission efficiency of financial industry: evidence from 284 cities in China
    • Authors: Zhichuan Zhu, Yuxin Wan, Niansheng Tang
    • Journal: Environment, Development and Sustainability 🌍💡
    • Year: 2025 🗓️
Tuning-free sparse clustering via alternating hard-thresholding
    • Authors: Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang
    • Journal: Journal of Multivariate Analysis 📊
    • Year: 2024 🗓️
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model
    • Authors: Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu
    • Journal: Computational Statistics and Data Analysis 💻📉
    • Year: 2024 🗓️
Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints
    • Authors: Niansheng Tang, Fan Liang, Depeng Jiang
    • Journal: Computational Statistics 💻📊
    • Year: 2024 🗓️