Khalid Subhi Ibrahim | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Assist. Prof. Dr. Khalid Subhi Ibrahim | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Followship at University of Zakho, United Kingdom

Dr. Khalid Subhi Ibrahim, an Assistant Professor at the University of Zakho, is a distinguished researcher in biomedical sciences, specializing in diagnostic and molecular microbiology, clinical biochemistry, and microbiome analysis. With a Ph.D. from Glasgow Caledonian University, his work focuses on understanding gut bacterial communities in obesity, Type 2 diabetes, and other health conditions using cutting-edge techniques like next-generation sequencing and bioinformatics tools such as QIIME2 and PICRUSt2. He has led significant collaborations, including projects with the Massachusetts Institute of Technology (MIT) and Kiel University, Germany, and has contributed to global microbiome conservancy efforts. An Editor-in-Chief of SJUOZ and a committee member of MVIF, Dr. Ibrahim’s expertise extends to training scientists, publishing research, and presenting at international conferences. His diverse contributions reflect his commitment to advancing microbiome research and its applications in health and environmental sciences.

Professional Profile

Education

Dr. Khalid Subhi Ibrahim holds a Ph.D. in Life Sciences from Glasgow Caledonian University, UK (2013-2017), where his research focused on “Biochemical Interactions Between the Gut Microbiome and Host in Obesity/Type 2 Diabetes.” He also completed an MSc in Veterinary Pathology specializing in fish diseases at the University of Duhok, Kurdistan Region, Iraq (2006-2008), presenting a thesis on pathological studies in common carp infected with Aeromonas hydrophila. Dr. Khalid earned his Bachelor of Veterinary Medicine (Medicine and Surgery) from the same institution in 2004. Additionally, he attended a Pre-sessional English Language program at Glasgow University in 2012. Throughout his education, Dr. Khalid developed extensive expertise in microbiology, molecular diagnostics, and bioinformatics. His academic foundation reflects a robust combination of veterinary science, microbiological research, and advanced molecular techniques, forming the basis of his prolific career in microbiome studies and biomedical sciences.

Professional Experience

Dr. Khalid Subhi Ibrahim is an accomplished Assistant Professor with extensive experience in biomedical sciences, specializing in diagnostic and molecular microbiology, clinical biochemistry, and gut microbiome research. He has a strong background in utilizing advanced molecular techniques such as next-generation sequencing, bioinformatics, and 16S rRNA analysis to explore microbiota in various contexts, including obesity, Type 2 diabetes, pollution, and animal health. Dr. Ibrahim has collaborated with prestigious institutions such as Glasgow Caledonian University, Monash University, MIT, and Universitätsklinikum Schleswig-Holstein on numerous international projects. His expertise extends to training scientists, supervising research students, and contributing to impactful research. Additionally, he has served as Editor-in-Chief of the SJUOZ journal and actively participated in global microbiome conservancy initiatives. With a proven track record of research, teaching, and collaboration, Dr. Ibrahim is dedicated to advancing microbiome science and fostering academic excellence.

Research Interest

Dr. Khalid Subhi Ibrahim’s research interests focus on biomedical sciences, with expertise in diagnostic and molecular microbiology, clinical biochemistry, and bioinformatics. His work centers on understanding the role of gut microbiome changes in health and disease, particularly in obesity, Type 2 diabetes mellitus (T2DM), and pollution. Employing advanced molecular techniques and next-generation sequencing, he investigates microbiota in humans, animals, soils, and wastewater, emphasizing 16S rRNA analysis using tools like QIIME2 and PICRUSt2. Dr. Ibrahim’s research extends to metagenomics and functional analysis of microbiomes in various contexts, including colorectal cancer, nosocomial infections in children, and zoonotic diseases in livestock. His collaborations span globally, engaging with institutions such as MIT, Universitätsklinikum Schleswig-Holstein, and the University of Tartu. Driven by a passion for microbiome research, he aims to advance in silico analysis techniques, enriching the understanding of microbial ecosystems and their impacts on human and environmental health.

Award and Honor

Dr. Khalid Subhi Ibrahim, a distinguished microbiologist and academic, has earned recognition for his remarkable contributions to biomedical sciences, particularly in microbiome research. Serving as Assistant Professor at the University of Zakho, Dr. Ibrahim leads the Global Microbiome Conservancy in Iraq and holds the prestigious position of Editor-in-Chief for the Scientific Journal of University of Zakho (SJUOZ). His collaborative endeavors span globally, involving partnerships with renowned institutions such as MIT, Universitätsklinikum Schleswig-Holstein, and Monash University. Dr. Ibrahim’s accolades include delivering impactful presentations at international conferences and publishing high-impact research on gut microbiota’s role in obesity, Type 2 diabetes, and pollution. His expertise in bioinformatics and next-generation sequencing has advanced the understanding of microbial communities in diverse ecosystems. Committed to mentorship and innovation, Dr. Ibrahim’s career reflects a dedication to advancing scientific knowledge and fostering international collaboration in microbiome science.

Conclusion

Dr. Khalid Subhi Ibrahim is a distinguished researcher with expertise in diagnostic and molecular microbiology, clinical biochemistry, and microbiome analysis. His extensive academic and professional journey reflects a strong commitment to advancing biomedical sciences, with a particular focus on gut microbiome research in relation to obesity, Type 2 diabetes, pollution, and colorectal cancer. Dr. Ibrahim’s collaborative projects with esteemed institutions, including MIT and the University of Tartu, underscore his global impact and research network. His proficiency in cutting-edge techniques such as next-generation sequencing, bioinformatics, and microbiota analysis highlights his technical expertise. Additionally, his dedication to knowledge dissemination through teaching, supervising, and publishing further solidifies his contributions to science. While Dr. Ibrahim’s focus on microbiome studies is commendable, expanding his publication record in high-impact journals would further strengthen his academic influence. Overall, Dr. Khalid Subhi Ibrahim demonstrates exceptional merit as a candidate for the Best Researcher Award.

Publications Top Noted

  1. Title: Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
    Authors: Naghavi, M., Ong, K.L., Aali, A., Wool, E.E., Murray, C.J.L.
    Year: 2024
    Citations: 259
  2. Title: Retrospective analysis of pediatric sepsis and the burden of antimicrobial resistance in Duhok, Kurdistan Region of Iraq
    Authors: Ibrahim, D.R., Saadi, A.T., Yahya, N.B., Alarsalani, B.K., Ibrahim, K.S.
    Year: 2024
    Citations: 0
  3. Title: Global Burden of Cardiovascular Diseases and Risks, 1990-2022
    Authors: Mensah, G.A., Habtegiorgis Abate, Y., Abbasian, M., Murray, C.J.L., Roth, G.A.
    Year: 2023
    Citations: 295
  4. Title: Chinese medicine, Qijudihuang pill, mediates cholesterol metabolism and regulates gut microbiota in high-fat diet-fed mice, implications for age-related macular degeneration
    Authors: Cao, Y., Ibrahim, K.S., Li, X., Craft, J.A., Shu, X.
    Year: 2023
    Citations: 0
  5. Title: Molecular Characterization of Extended Spectrum β-Lactamase (ESBL) and Virulence Gene-Factors in Uropathogenic Escherichia coli (UPEC) in Children in Duhok City, Kurdistan Region, Iraq
    Authors: Hasan, S.M., Ibrahim, K.S.
    Year: 2022
    Citations: 5
  6. Title: In silico analysis of bacterial metabolism of glutamate and GABA in the gut in a rat model of obesity and type 2 diabetes
    Authors: Ibrahim, K.S., Bourwis, N., Dolan, S., Craft, J.A.
    Year: 2022
    Citations: 2
  7. Title: Effect of a TSPO ligand on retinal pigment epithelial cholesterol homeostasis in high-fat fed mice, implication for age-related macular degeneration
    Authors: Biswas, L., Ibrahim, K.S., Li, X., Craft, J., Shu, X.
    Year: 2021
    Citations: 16
  8. Title: Transcriptome-wide changes associated with the reproductive behaviour of male guppies exposed to 17α-ethinyl estradiol
    Authors: Saaristo, M., Craft, J.A., Tyagi, S., Ibrahim, K.S., Wong, B.B.M.
    Year: 2021
    Citations: 8
  9. Title: Prevalence and Hemato-biochemical Studies on Theileriosis in Naturally Infected Cattle in Erbil Province
    Authors: Aziz, K., Qader, N., Ibrahim, K.
    Year: 2021
    Citations: 3
  10. Title: Etifoxine reverses weight gain and alters the colonic bacterial community in a mouse model of obesity
    Authors: Ibrahim, K.S., Craft, J.A., Biswas, L., Spencer, J., Shu, X.
    Year: 2020
    Citations: 15

 

 

Mingsheng Wang | Biological Sciences | Best Researcher Award

Dr. Mingsheng Wang | Biological Sciences | Best Researcher Award

Lecturer at Tarim University, China

Mingsheng Wang is a Lecturer at the College of Mechanical Electrification Engineering, Tarim University, China. His research primarily focuses on motor fault diagnosis, with expertise in vibration noise analysis, finite element modeling, and deep learning applications. He holds a Ph.D. in Mechanical Engineering from the prestigious Beijing Institute of Technology, where he developed innovative methodologies for fault diagnosis in permanent magnet synchronous motors (PMSMs). Mingsheng has contributed to national engineering projects and authored impactful publications in journals like IEEE Transactions on Power Electronics and Sensors. With advanced technical skills in tools like Matlab/Simulink, Maxwell, and LabView, he has been instrumental in building motor test benches and implementing fault diagnosis algorithms. His work aligns with advancing the reliability of electric motors, making significant contributions to the development of fault detection technologies in electric vehicles.

Professional Profile

Education

Mingsheng Wang completed his Ph.D. in Mechanical Engineering from Beijing Institute of Technology in 2024. His doctoral studies emphasized motor fault diagnostics and the application of deep learning in fault detection. He earned his Master’s degree in Agricultural Mechanization Engineering from Hebei Agricultural University in 2015, where he developed foundational expertise in agricultural mechanical systems. Additionally, he holds a Bachelor’s degree in Measurement and Control Technology and Instrument from the same institution, awarded in 2012. Throughout his academic journey, Mingsheng honed his technical and research skills, building a solid foundation in diagnostics, multi-physics field co-simulations, and reliability engineering.

Professional Experience

Mingsheng Wang has recently joined Tarim University as a Lecturer in the College of Mechanical Electrification Engineering. His role involves teaching and research in advanced motor fault diagnosis and electrification technologies. He has extensive research experience from his Ph.D. program, contributing to nationally significant projects such as the development of motor fault diagnosis systems and vibration noise analysis for silicon carbide systems. His prior work also includes evaluating reliability technologies for integrated controllers and studying the thermal performance of motor controllers. Mingsheng’s expertise spans practical and theoretical domains, where he has contributed to designing motor test benches, implementing data acquisition systems, and validating algorithms for intelligent fault diagnosis.

Research Interests

Mingsheng Wang’s research focuses on motor fault diagnosis, particularly in permanent magnet synchronous motors (PMSMs). His interests include vibration noise analysis, multi-physics field co-simulations, and the application of deep learning techniques in diagnostics. He has worked extensively on fault detection in electric motors, including bearing fault diagnosis and inter-turn short circuit faults, with applications in electric vehicles and advanced mechanical systems. His research aligns with enhancing motor reliability and optimizing system performance, addressing critical challenges in energy efficiency and system reliability. His recent projects delve into coupling fault information with motor vibration and current signals to develop intelligent diagnostic solutions.

Research Skills

Mingsheng Wang is skilled in designing and debugging motor fault test benches and building robust data acquisition systems. He has advanced expertise in finite element modeling, multi-physics field co-simulations, and deep learning applications in fault diagnostics. Proficient in tools like Matlab/Simulink, Maxwell, and LabView, he excels in analyzing co-simulation models and applying advanced algorithms such as convolutional neural networks and transfer learning for fault detection. His skills extend to vibration and noise signal processing, system pre-processing, and experimental setup, making him adept at bridging the gap between theoretical research and practical implementation.

Awards and Honors

While Mingsheng Wang’s CV does not explicitly mention awards, his achievements include significant contributions to national research projects and publishing in high-impact journals. His work in motor fault diagnosis, particularly his innovative approaches using deep learning and multi-physics analysis, has been well-recognized within academic circles. Publications in journals like Sensors and IEEE Transactions on Power Electronics highlight his research excellence and innovative contributions to the field of mechanical engineering and diagnostics. These accomplishments underline his standing as an emerging researcher poised for recognition in his field.

Conclusion

Mingsheng Wang is a strong candidate for the Best Researcher Award, particularly in the category of emerging researchers with significant contributions to motor fault diagnosis and reliability engineering. His technical skills, impactful research projects, and publications in high-ranking journals establish his excellence in the field. However, to further solidify his claim to this award, he could work on gaining more professional experience, building a broader research profile, and enhancing his international collaborations and outreach efforts. In conclusion, he is highly suitable for recognition in his research niche and could be an excellent recipient of this award, especially as an early-career researcher poised to make significant future contributions.

Publication Top Notes

  1. Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization
    Authors: Mingsheng Wang, Wuxuan Lai, Hong Zhang, 扬 刘 (Yang Liu), Qiang Song
    Year: 2024