Dr. Thendo Mafuna | Genomics | Young Scientist Award

Dr. Thendo Mafuna | Genomics | Young Scientist Award

Dr. Thendo Mafuna | Genomics | University of Johannesburg | South Africa

Dr. Thendo Mafuna is a South African scientist and academic currently serving as a Lecturer in the Department of Biochemistry at the University of Johannesburg, where he contributes to the advancement of molecular biology and bioinformatics education. He holds a Ph.D. in Bioinformatics from the University of Pretoria, an M.Sc. in Zoology (Bioinformatics and Genomics, Cum Laude) from North-West University, a B.Sc. Honours in Microbiology, and a B.Sc. in Microbiology and Biochemistry from the University of Venda. Dr. Thendo Mafuna’s professional career reflects a strong trajectory of interdisciplinary research and academic leadership. Before joining the University of Johannesburg, he worked with the Agricultural Research Council-Biotechnology Platform, where he contributed to national and international projects on whole genome analysis, RNA sequencing, metagenomics, and antimicrobial resistance (AMR) surveillance. His role at the National Zoological Gardens of South Africa further refined his microbiological and genomic analysis skills through projects focused on wildlife disease diagnostics and microbial community studies. His research interests encompass Bioinformatics, AMR surveillance, Pathogen Genomics, and Transcriptomics, with a focus on integrating omics-based approaches to understand microbial resistance and evolution. Dr. Thendo Mafuna has demonstrated expertise in bioinformatics pipeline development, next-generation sequencing (NGS) data analysis, statistical modeling, and genome annotation, employing advanced computational tools for multi-omics integration. His scientific achievements include 14 peer-reviewed Scopus-indexed publications with over 135 citations, an h-index of 7, and contributions to high-impact journals such as Frontiers in Microbiology and Current Genomics. He actively participates in scholarly peer review, postgraduate mentoring, and departmental academic committees, promoting research excellence and inclusion in science. Dr. Thendo Mafuna has received recognition for his commitment to scientific innovation and mentorship in computational biology, reflecting his growing reputation as a thought leader in African bioinformatics.

Professional Profiles: ORCID | Google Scholar | Scopus 

Featured Publications 

  1. Mafuna, T., et al. (2023). Exploring the intricacies of plant growth promoting rhizobacteria interactions: An omics review. 14 citations.

  2. Mafuna, T., et al. (2022). Comparative genomics of antimicrobial resistance in environmental bacterial isolates. 18 citations.

  3. Mafuna, T., et al. (2022). Metagenomic insights into soil microbial communities under agricultural stress conditions. 20 citations.

  4. Mafuna, T., et al. (2021). Genomic characterization of multidrug-resistant pathogens using next-generation sequencing. 16 citations.

  5. Mafuna, T., et al. (2021). Bioinformatics analysis of transcriptomic responses to antibiotic exposure. 12 citations.

  6. Mafuna, T., et al. (2020). Molecular mechanisms of antimicrobial resistance in pathogenic bacteria: A systems biology approach. 30 citations.

  7. Mafuna, T., et al. (2020). Application of omics tools in antimicrobial resistance monitoring and surveillance. 25 citations.

Prof. Sadegh Alijani | Genetics | Best Researcher Award

Prof. Sadegh Alijani | Genetics | Best Researcher Award 

Prof. Sadegh Alijani, University of Tabriz, Iran

Sadegh Alijani is an Iranian professor specializing in animal breeding, genetics, and statistical methods in livestock science. He earned his B.Sc. in Animal Science from the University of Shahid Chamran, followed by an M.Sc. in Animal Breeding and Genetics from the University of Tabriz, and a Ph.D. from the University of Tehran, consistently ranking first in his academic programs. Dr. Alijani has extensive teaching experience at the University of Tabriz, where he has lectured on subjects ranging from genetics and statistics to experimental design and advanced statistical methods across undergraduate, master’s, and doctoral levels. His research focuses on the application of Bayesian statistics, genetic markers, and molecular genetics in animal breeding. He has served in administrative roles, including Deputy of the Khalat Poushan Research Station and Head of the Central Laboratory at the Faculty of Agriculture. With a strong publication record in peer-reviewed journals and a history of supervising numerous M.Sc. theses, Dr. Alijani continues to contribute significantly to the fields of animal genetics and statistical modeling.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

🏆 Summary of Suitability for the Best Researcher Award 

Prof. Sadegh Alijani is an exemplary candidate for the Best Researcher Award based on his exceptional academic achievements, sustained research output, and impactful teaching and leadership roles over more than two decades in the field of animal breeding, molecular genetics, and statistical methods.

🎓 Educational Background

  • B.Sc. in Animal Science
    📍 University of Shahid Chamran – 1992
    🏅 Rank: 1st

  • M.Sc. in Animal Breeding and Genetics
    📍 University of Tabriz – 1997
    🏅 Rank: 1st
    📘 Thesis: “Efficiency of advanced statistical methods in animal breeding and genetics and their application in breeding of native Turkey of Azarbaijan”

  • Ph.D. in Animal Breeding and Genetics
    📍 University of Tehran – 2009
    🏅 Rank: 1st
    📘 Thesis: “Major genes detection in farm animals using Bayesian statistical methods and genetic markers”

👨‍🏫 Teaching Experience

  • 🧮 Application of statistics in animal breeding (M.Sc.) — 2003–Present

  • 📊 Advanced statistical methods (SAS) (M.Sc.) — 1999–Present

  • 🧬 Genetics (B.Sc.) — 2000–Present

  • 🎲 Statistics and probability (B.Sc.) — 1999–Present

  • 🧪 Experimental design in animal science (B.Sc.) — 2004–Present

  • 🐔 Poultry breeding (B.Sc.) — 1999–Present

  • 📉 Estimation of variance–covariance (Ph.D.) — 2012–Present

  • 📈 Linear model in animal breeding (Ph.D.) — 2012–Present

🏢 Academic and Administrative Positions

  • Lecturer (1999–2003)

  • Assistant Professor (2003–2013)

  • Associate Professor (2013–2021)

  • Professor (2021–Present)
    📍 University of Tabriz

  • 🧪 Deputy of Research Station, Faculty of Agriculture – 1999–2000

  • 🧫 Head of Central Laboratory, Faculty of Agriculture – 2011–2014

🧑‍🎓 Graduate Supervision 

  1. 🐮 Genetic parameters in Sarabi cattle

  2. 🧬 Kappa casein polymorphism in Holstein & native cattle

  3. 🌡️ Heat stress impact on broilers

  4. 🐑 Growth traits in Lori sheep

  5. 🍗 Broiler performance with different fat sources

  6. 🐥 Cottonseed meal in broiler diet

  7. 🧵 Fleece characteristics in hybrid sheep

  8. 🩸 Vitamin supplementation effects in calves

  9. 🐄 Genetic potential via test-day records (Zanjan Univ.)

  10. 🍼 Lactation curve studies (Zanjan Univ.)

🏆 Achievements & Honors

  • 📚 Ranked 1st in B.Sc., M.Sc., and Ph.D. studies

  • 🧠 Expertise in Bayesian statistical methods, molecular genetics & genomics

  • ✍️ Published over 15+ research papers in international journals

  • 💻 Specialized in SAS software and advanced modeling

  • 📈 Pioneer in applying random regression models and genotype-environment interaction studies in Iranian livestock

  • 🎓 Active mentor for M.Sc. and Ph.D. students in animal breeding

Publication Top Notes:

Application of a random forest algorithm to estimate marker effects and identify candidate genes for reproductive traits in Iranian Holstein dairy cattle

Effect of Dietary Amaranth (Amaranthus hybridus chlorostachys) Supplemented with Enzyme Blend on Egg Quality, Serum Biochemistry and Antioxidant Status in Laying Hens

Searching for Possible Association between Six Microsatellite Markers and Suppression of Mite Reproduction (SMR) Trait in Honey Bees

Genomic Selection Signatures in Two French and Swedish Holstein Cattle Breeds Provide Evidence for Several Potential Candidate Genes Linked to Economic Traits

Molecular Screening of Varroa-Resistant Trait of Honey Bee Colonies based on NorpA2 Candidate Gene Polymorphism: A Genetic Case-Control Study

Supplementation of broiler chicken diets with bovine lactoferrin improves growth performance, histological parameters of jejunum and immune-related gene expression