Category: Biography

Education Background🎓

Dr. Kruglov obtained his Doctor of General Medicine degree from Saratov State Medical Institute in 1981. He pursued postgraduate training in Microbiology and earned his Ph.D. from the All-Russian Research Institute of Applied Microbiology in 1984. Additionally, he has undergone specialized training in medical microbiology, bacteriology, and clinical trial methodologies at esteemed institutions such as the I.M. Sechenov Moscow Medical Academy and N.I. Pirogov Russian Scientific Research Medical University.

Professional Experience🌱

Currently serving as the Head of the Laboratory of Clinical Microbiology at the Moscow City Multidisciplinary Clinical Center “Kommunarka” since 2020, Dr. Kruglov has been instrumental in managing microbiological diagnostics in a high-complexity healthcare setting. Prior to this, he led clinical microbiology laboratories at City Hospital No. 24 and the National Agency of Clinical Pharmacology and Pharmacy. His career also includes extensive research roles at the All-Russian Research Institute of Applied Microbiology and the I.M. Sechenov Moscow Medical Academy. With over three decades of expertise in clinical microbiology, he has been at the forefront of infection control and antimicrobial resistance research.

Research Interests🔬

Dr. Kruglov’s research primarily focuses on antimicrobial resistance mechanisms, clinical microbiology, and infectious disease epidemiology. He has contributed significantly to understanding carbapenem-resistant microorganisms, Candida auris population structures, and the impact of antifungal susceptibility on clinical outcomes. His work also includes studying risk factors associated with microbial colonization in intensive care units and exploring novel antimicrobial strategies against multidrug-resistant pathogens.

Author Metrics

Dr. Kruglov has co-authored several high-impact publications in peer-reviewed journals, covering topics such as carbapenem resistance, fungal infections, and antibiotic susceptibility. His recent works include studies published in the Journal of Epidemiology and Vaccinal Prevention, Journal of Fungi, and Russian Journal of Anesthesiology and Reanimatology. His research contributions have advanced clinical microbiology practices, providing valuable insights into microbial epidemiology and resistance patterns.

Awards & Honors

Dr. Kruglov has received multiple recognitions for his contributions to medical microbiology and infectious disease research. His work has been instrumental in shaping laboratory practices and infection control policies in healthcare settings. He continues to be a key figure in microbiological research, mentoring young scientists and leading critical investigations in clinical bacteriology.

Publications Top Notes 📄

1. Prevalence and Risk Factors for Colonization with Carbapenem-Resistant Microorganisms in Patients Admitted to a Multidisciplinary Hospital

Journal: Epidemiology and Vaccinal Prevention
Publication Date: January 14, 2025
DOI: 10.31631/2073-3046-2024-23-6-83-103
Contributors: O. G. Ni, B. Z. Belotserkovskiy, A. N. Kruglov, M. I. Matyash, A. O. Bykov, S. V. Yakovlev, E. M. Shifman, D. N. Protsenko
Source: Crossref

2. Population Structure Based on Microsatellite Length Polymorphism, Antifungal Susceptibility Profile, and Enzymatic Activity of Candida auris Clinical Isolates in Russia

Journal: Journal of Fungi
Publication Date: January 4, 2025
DOI: 10.3390/jof11010035
Contributors: Ellina Oganesyan, Victoria Klimenteva, Irina Vybornova, Valentina Venchakova, Ekaterina Parshikova, Sergey Kovyrshin, Olga Orlova, Alexander Kruglov, Svetlana Gordeeva, Natalya Vasilyeva
Source: Crossref

3. Risk Factors of Colonization and Diversity of Clinically Significant Carbapenemases in Gut Microbiota of ICU Patients: A Single-Center Prospective Observational Study

Journal: Russian Journal of Anesthesiology and Reanimatology
Publication Date: 2024
DOI: 10.17116/anaesthesiology202405141
Contributors: A.O. Bykov, E.M. Shifman, D.N. Protsenko, S.V. Yakovlev, B.Z. Belotserkovskiy, O.G. Ni, A.N. Kruglov, A.A. Bryleva, M.I. Matyash, E.S. Larin
Source: Crossref

4. Comparative Activity of Lipoglycopeptide Antibiotics Against Gram-Positive Bacteria

Journal: Antibiotics and Chemotherapy
Publication Date: December 28, 2022
DOI: 10.37489/0235-2990-2022-67-9-10-18-24
Contributors: V. V. Gostev, O. S. Sulian, O. S. Kalinogorskaya, L. N. Popenko, A. N. Kruglov, S. A. Gordeeva, E. V. Nesterova, D. P. Gladin, N. N. Trophimova, P. S. Chulkova
Source: Crossref

Conclusion

Dr. Alexander Kruglov is an excellent candidate for the Best Researcher Award in Biological Networks due to his outstanding contributions to clinical microbiology, antimicrobial resistance research, and infectious disease epidemiology. His extensive leadership, impactful publications, and dedication to microbiological advancements make him a top contender.

To further strengthen his impact, increased international collaboration, expansion into emerging fields, and greater public outreach could enhance his already distinguished career. Nonetheless, his research achievements and scientific leadership fully justify his nomination for this prestigious award.

Reham AlDayil | Speech Recognition | Best Researcher Award

Posted on 19/02/202519/02/2025 by ScienceFatherLeave a Comment

Assist. Prof. Dr. Reham AlDayil | Speech Recognition | Best Researcher Award

Assistant Professor at Imam Mohammed bin Saud Islamic university, Saudi Arabia📖

Dr. Reham Abdulaziz Al-Dayil is an Assistant Professor at Imam Mohammed bin Saud Islamic University, specializing in computer engineering, cybersecurity, and artificial intelligence. With a strong academic and research background, she has contributed to cutting-edge advancements in open-set classification, remote sensing, and cyber threat detection. She has published extensively in prestigious journals and international conferences, focusing on machine learning applications in cybersecurity and geospatial analysis.

Profile

Education Background🎓

Dr. Al-Dayil earned her Ph.D. in Computer Engineering from King Saud University (2017-2022), where she researched mobile botnet detection using artificial immune systems and user activity correlation. She completed her Master’s in Computer Engineering from King Saud University (2010-2015), with a thesis on social media-based botnet detection. Her academic journey began with a Bachelor’s degree in Computer Science from King Saud University (2002-2006), where she developed a License Plate Extraction System as her final project.

Professional Experience🌱

Dr. Al-Dayil has over 17 years of experience spanning academia and industry. Since 2023, she has been an Assistant Professor at Imam Mohammed bin Saud Islamic University, where she previously served as a Lecturer (2017-2023). Before that, she was a Teaching Assistant at Shaqra University (2009-2017), contributing to curriculum development and student mentorship. Her industry experience includes working as a Developer at AlFanar Company (2006-2009), where she gained hands-on expertise in software development, programming, and database systems. She has taught courses in data communication systems, networking, information security, web programming, database management, and digital logic design.

Research Interests🔬

Dr. Al-Dayil’s research focuses on artificial intelligence, cybersecurity, machine learning, and remote sensing. Her work explores advanced methodologies for open-set classification, domain adaptation, and adversarial learning in cybersecurity. She has contributed to research on vision transformers for remote sensing image classification, cyber threat detection frameworks, and deep learning techniques for cross-scene classification.

Author Metrics

Dr. Al-Dayil has authored multiple research papers published in high-impact journals such as Remote Sensing, International Journal of Remote Sensing, and IEEE IGARSS. Her work has been cited widely in the fields of machine learning and cybersecurity. She collaborates with leading researchers and has presented at international conferences.

Awards & Honors

Dr. Al-Dayil has received several accolades for her academic and research excellence. Her undergraduate project, License Plate Extraction System, secured third place in the Final Project Competition (2006). She has also been recognized for her contributions to cybersecurity and AI-driven research in remote sensing and open-set classification.

Publications Top Notes 📄

1. Vision Transformers for Remote Sensing Image Classification

Authors: Y. Bazi, L. Bashmal, M. M. A. Rahhal, R. A. Dayil, N. A. Ajlan
Journal: Remote Sensing, Volume 13, Issue 3, Article 516
Year: 2021
Citations: 460
Summary: This study explores the use of Vision Transformers (ViTs) for remote sensing image classification, demonstrating their effectiveness in capturing spatial dependencies in satellite imagery compared to traditional CNN models.

2. Deep Open-Set Domain Adaptation for Cross-Scene Classification Based on Adversarial Learning and Pareto Ranking

Authors: R. Adayel, Y. Bazi, H. Alhichri, N. Alajlan
Journal: Remote Sensing, Volume 12, Issue 11, Article 1716
Year: 2020
Citations: 34
Summary: This research presents a novel deep learning framework using adversarial learning and Pareto ranking for open-set domain adaptation, improving classification performance in remote sensing applications with unseen data.

3. Detecting Social Media Mobile Botnets Using User Activity Correlation and Artificial Immune System

Authors: R. A. Al-Dayil, M. H. Dahshan
Conference: 2016 7th International Conference on Information and Communication Systems (ICICS)
Year: 2016
Citations: 10
Summary: This paper introduces a botnet detection method leveraging user activity correlation and artificial immune systems to identify malicious activities on social media-based mobile networks.

4. Energy-Based Learning for Open-Set Classification in Remote Sensing Imagery

Authors: M. M. Al Rahhal, Y. Bazi, R. Al-Dayil, B. M. Alwadei, N. Ammour, N. Alajlan
Journal: International Journal of Remote Sensing, Volume 43, Issues 15-16, Pages 6027-6037
Year: 2022
Citations: 9
Summary: The study introduces an energy-based learning approach to improve open-set classification in remote sensing imagery, enhancing the detection of unknown classes in satellite data.

5. Exploring Cybersecurity Metrics for Strategic Units: A Generic Framework for Future Work

Authors: M. Arafah, S. H. Bakry, R. Al-Dayel, O. Faheem
Book Chapter: Advances in Information and Communication: Proceedings of the 2019 Future of Information and Communication Conference
Year: 2020
Citations: 5
Summary: This paper proposes a framework for cybersecurity metrics, offering insights into measuring and assessing security performance in strategic IT units.

Conclusion

Dr. Reham Abdulaziz Al-Dayil is an exceptional candidate for the Best Researcher Award due to her high-impact publications, interdisciplinary expertise, strong academic presence, and contributions to AI-driven cybersecurity and remote sensing. With continued focus on industry collaborations, research funding, and public engagement, she can further elevate her global impact in research.

Mingxi Zhang | Soil | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFatherLeave a Comment

Dr. Mingxi Zhang | Soil | Best Researcher Award

PostDoc at Curtin, Australia📖

Dr. Mingxi Zhang is a Research Associate at Curtin University in the School of Molecular and Life Sciences. His expertise lies in environmental science, specifically focusing on soil biogeochemistry, microclimate dynamics, and geospatial analysis. With a background in GIS science and a Ph.D. in Environmental Science, he has contributed extensively to research on soil carbon sequestration, erosion processes, and the impacts of climate change on soil health. Dr. Zhang has authored multiple high-impact research papers and is passionate about advancing the understanding of soil health, carbon storage, and sustainable land management practices.

Profile

Education Background🎓

Ph.D. in Environmental Science (2022), University of Technology Sydney, Australia
Specialization: Microclimate
M.Sc. in GIS Science (2015), Hohai University, China
Specialization: Terrain Analysis by LiDAR Point Cloud
B.Sc. in GIS Science (2012), Hohai University, China
Specialization: WebGIS

Professional Experience🌱

Dr. Zhang currently serves as a Research Associate at Curtin University (2021–present), where he collaborates with interdisciplinary teams on projects related to soil health, climate change, and environmental sustainability. His prior research experiences include work on GIS-based soil modelling, remote sensing, and carbon sequestration, with significant contributions to the understanding of soil erosion dynamics and nutrient transport in Australia. Before his role at Curtin University, Dr. Zhang conducted cutting-edge research at the University of Technology Sydney, where he completed his Ph.D.

Research Interests🔬

Dr. Zhang’s research focuses on soil biogeochemical processes, climate change, and sustainable land management. His specific interests include:

Soil carbon sequestration and its role in mitigating climate change.
The impact of microclimates on soil health and ecosystem dynamics.
Remote sensing and GIS techniques for environmental monitoring.
Geospatial modelling for sustainable land use and management.
The role of soil in carbon storage and its future under climate change.

Author Metrics

Dr. Zhang has authored over 15 publications in leading journals, including:

Geoderma
npj Climate and Atmospheric Science
Science of The Total Environment
Soil Use and Management
Global Change Biology
His recent work includes papers on deep learning for carbon fraction analysis, the effects of warming climates on Australian soil, and sustainable land management strategies. His h-index and citations reflect his growing influence in the field of environmental science and soil health.

Awards & Honors

2024: Round 2 Grant Development Funding, Curtin University
2019: Lake Mac Community Environment Grants Program, Lake Macquarie City Council
2013: National Scholarship for Master’s Students, Department of Education, China

Publications Top Notes 📄

1. “Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia”

Authors: H. Zhang, B. Wang, D. Li Liu, M. Zhang, L.M. Leslie, Q. Yu
Journal: Journal of Hydrology
Year: 2020
Volume: 585
Article Number: 124822
Citations: 187
DOI: 10.1016/j.jhydrol.2020.124822

2. “Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basin”

Authors: H. Zhang, B. Wang, D. Li Liu, M. Zhang, P. Feng, L. Cheng, Q. Yu, D. Eamus
Journal: Journal of Hydrology
Year: 2019
Volume: 573
Pages: 49-59
Citations: 74
DOI: 10.1016/j.jhydrol.2019.03.014

3. “Deep transfer learning of global spectra for local soil carbon monitoring”

Authors: Z. Shen, L. Ramirez-Lopez, T. Behrens, L. Cui, M. Zhang, L. Walden, et al.
Journal: ISPRS Journal of Photogrammetry and Remote Sensing
Year: 2022
Volume: 188
Pages: 190-200
Citations: 53
DOI: 10.1016/j.isprsjprs.2022.04.009

4. “Remote sensing estimation of the soil erosion cover-management factor for China’s Loess Plateau”

Authors: X. Yang, X. Zhang, D. Lv, S. Yin, M. Zhang, Q. Zhu, Q. Yu, B. Liu
Journal: Land Degradation & Development
Year: 2020
Volume: 31
Issue: 15
Pages: 1942-1955
Citations: 47
DOI: 10.1002/ldr.3577

5. “Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble”

Authors: P. Feng, D.L. Liu, B. Wang, C. Waters, M. Zhang, Q. Yu
Journal: International Journal of Climatology
Year: 2019
Volume: 39
Issue: 2
Pages: 1041-1053
Citations: 41
DOI: 10.1002/joc.5861

Conclusion

Dr. Mingxi Zhang is a highly skilled and innovative researcher in the field of soil health, climate change, and sustainable land management. His interdisciplinary expertise, strong academic background, and impactful publications position him as an ideal candidate for the Best Researcher Award. His research has made significant contributions to understanding soil biogeochemical processes, the role of microclimates in ecosystem dynamics, and the application of cutting-edge technologies like GIS and remote sensing in environmental monitoring. With a few adjustments to further increase the visibility and impact of his work, Dr. Zhang is well-positioned to continue leading advancements in environmental science and sustainable land management practices.

Safaa Najah Saud Al-Humairi | Materials Science | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFatherLeave a Comment

Assoc. Prof. Dr. Safaa Najah Saud Al-Humairi | Materials Science | Best Researcher Award

Deputy Dean at Management and Science University, Malaysia📖

Dr. Safaa Najah Saud Al-Humairi is an Associate Professor and Deputy Dean for Research, Internationalization, and Industry at Management and Science University, Malaysia. With a strong background in mechanical engineering, he specializes in shape memory alloys (SMAs), material science, and advanced manufacturing techniques. Dr. Al-Humairi’s academic journey includes a Ph.D. from Universiti Teknologi Malaysia (UTM), where he researched the influence of alloying elements and aging treatments on the phase transformation of Cu-Al-Ni SMAs. His work bridges fundamental research and applied engineering solutions across various industries.

Profile

Education Background🎓

1. Ph.D. in Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Malaysia (2011-2014)

GPA: B1, University PRO-Chancellor Award
Research Focus: Influence of alloying elements and aging treatment on Cu-Al-Ni SMAs phase transformation and shape memory behavior.

2. Master of Technology, University of Hyderabad (UOH), India (2008-2010)

GPA: First Division with Distinction (8.34%)
Research Focus: Abrasion resistance of hard-facing materials for rotary mining bits.

3. Bachelor of Science in Materials Engineering, University of Babylon, Iraq (2003-2006)

GPA: First Division with Distinction (66.43%)

Professional Experience🌱

Deputy Dean, Research, Internationalization, and Industry, Management and Science University, Malaysia (Dec 2024 – Present)
Associate Professor, Management and Science University, Malaysia (May 2022 – Present)
Postgraduate Coordinator, Management and Science University, Malaysia (June 2019 – Present)
Research Coordinator, Management and Science University, Malaysia (May 2016 – Present)
Postdoctoral Research Fellow, Universiti Teknologi Malaysia, Malaysia (Oct 2014 – Feb 2016)
Teacher Assistant, Universiti Teknologi Malaysia, Malaysia (Feb 2012 – Feb 2014)
Lecturer, University of Babylon, Iraq (Sept 2009 – Sept 2011)
Senior Engineer, Building and Reconstruction Center, Babylon Province, Iraq (Sept 2009 – Sept 2011)
Research Fellow, Sandvik Asia, Hyderabad, India (July 2009 – July 2010)
Engineer, Building and Reconstruction Center, Babylon Province, Iraq (Sept 2006 – April 2008)

Research Interests🔬

Dr. Al-Humairi’s primary research interests include Ni-Ti/Ta/Nb and Cu-based shape memory alloys (SMAs), Mg alloys (bulk & nano size), and various advanced manufacturing and processing techniques. His work covers a wide range of topics including:

Manufacturing: Casting, Powder Metallurgy, Additive Manufacturing
Processing: Shape Memory Effect, Pseudoplasticity, Tribology, Welding, Bioactivity, Corrosion
Materials Characterization: SEM, AFM, TEM, XRD, DSC
Secondary Focus: Robotics, Thermodynamics (Phase Change Materials), Heat Transfer, Green Technology, 3D Mechanical Design

Author Metrics

Dr. Al-Humairi has contributed significantly to material science research and has published numerous papers on shape memory alloys and materials characterization. His work is widely recognized in the field, particularly for advancements in the performance and processing of advanced materials for industrial applications.

Awards & Honors

University PRO-Chancellor Award for his Ph.D. work at Universiti Teknologi Malaysia
Several internal academic and research awards at Management and Science University for outstanding contributions in research and education
Recognized for exceptional performance in research coordination and postgraduate development at MSU Malaysia.

Publications Top Notes 📄

1. Overview of phase change materials for construction architecture thermal management in hot and dry climate region

Authors: MA Wahid, SE Hosseini, HM Hussen, HJ Akeiber, SN Saud, …
Journal: Applied Thermal Engineering
Volume: 112
Pages: 1240-1259
Year: 2017
DOI/Link: Applied Thermal Engineering, 2017

2. Influence of Ti additions on the martensitic phase transformation and mechanical properties of Cu–Al–Ni shape memory alloys

Authors: Safaa N. Saud, E. Hamzah, T. Abubakar, Mohd Zamri, and Masaki Tanemura
Journal: Journal of Thermal Analysis and Calorimetry
Volume: 88
Pages: 1185–1192
Year: 2014
DOI/Link: Journal of Thermal Analysis and Calorimetry, 2014

3. Effects of Mn Additions on the Structure, Mechanical Properties, and Corrosion Behavior of Cu-Al-Ni Shape Memory Alloys

Authors: Safaa N. Saud, E. Hamzah, T. Abubakar, H. R. Bakhsheshi-Rad, Mohd Zamri …
Journal: Journal of Materials Engineering and Performance
Volume: 88
Pages: 993-1000
Year: 2014
DOI/Link: Journal of Materials Engineering and Performance, 2014

4. Structure, corrosion behavior, and antibacterial properties of nano-silica/graphene oxide coating on biodegradable magnesium alloy for biomedical applications

Authors: HR Bakhsheshi-Rad, E Hamzah, M Kasiri-Asgarani, SN Saud, …
Journal: Vacuum
Volume: 131
Pages: 106-110
Year: 2016
DOI/Link: Vacuum, 2016

5. Correlation of microstructural and corrosion characteristics of quaternary shape memory alloys Cu–Al–Ni–X (X = Mn or Ti)

Authors: SN Saud, E Hamzah, T Abubakar, HR Bakhsheshi-Rad
Journal: Transactions of Nonferrous Metals Society of China
Volume: 25(4)
Pages: 1158-1170
Year: 2015
DOI/Link: Transactions of Nonferrous Metals Society of China, 2015

Conclusion

Dr. Safaa Najah Saud Al-Humairi is undoubtedly a deserving candidate for the Best Researcher Award in the field of Materials Science. His pioneering work on shape memory alloys and advanced manufacturing techniques is innovative, practical, and impactful. His leadership in research at Management and Science University, along with his extensive publication record, places him among the top researchers in his field. While there are areas for growth, such as increasing interdisciplinary collaboration and public engagement, his strengths far outweigh the opportunities for improvement. His continued contributions to materials science will no doubt have a lasting effect on the field and various industries that rely on advanced materials. Therefore, Dr. Al-Humairi stands out as a top candidate for the Best Researcher Award, and his future in materials science research is exceedingly promising.

Grzegorz Kopij | Biological Networks | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFatherLeave a Comment

Prof. Grzegorz Kopij | Biological Networks | Best Researcher Award

Grzegorz Kopij at Wroclaaw University of Environmental & Life Sciences, Poland📖

Grzegorz Kopij is a distinguished Professor at the Department of Vertebrate Ecology, Wrocław University of Environmental & Life Sciences, Poland, and a faculty member at the University of Namibia. With a career spanning over three decades, his expertise lies in zoology, ecology, and ornithology, particularly focused on the feeding ecology and population dynamics of bird species. He holds a PhD from the University of the Orange Free State, South Africa, and has contributed extensively to research on the ecology and behavior of birds, as well as the study of feather mites and other ecto-parasites.

Profile

Education Background🎓

Magister Science (M.Sc.), Zoology, University of Wrocław, Poland (1989). Thesis on the Barn Owl (Tyto alba).
Philosophiae Doctor (Ph.D.), University of the Orange Free State, South Africa (1997). Thesis on the breeding ecology and behavior of ciconiform bird species.
Docent (Dr hab.), University of South Bohemia, Czech Republic (2007). Habilitation on feeding relationships in birds of South African grasslands.

Professional Experience🌱

Research Officer, Mammal Research Institute, Polish Academy of Sciences (1989–1990).
Lecturer & Research Fellow, Department of Zoology & Entomology, University of the Orange Free State, South Africa (1993–1997).
Lecturer & Researcher, National University of Lesotho (1998–2001).
Adjunct Professor, Wrocław University of Environmental & Life Sciences, Poland (2002–2009), and Associate Professor (2009–present).
Associate Professor & Head of Department, University of Namibia (2011–2016).
Professor, University of Namibia (2016–2020) and Wrocław University of Environmental & Life Sciences (2022–present).

Research Interests🔬

Feeding ecology of birds.
Distribution and abundance of birds in Opole Silesia.
Population ecology of southern African birds.
Ecology and behavior of endangered bird species.
Taxonomy and ecology of feather mites and other ecto-parasites.

Author Metrics

Grzegorz Kopij has a notable academic presence, with significant contributions to ornithology and ecology. His research is widely cited across various platforms. On Google Scholar, he has garnered attention for his work on bird ecology and parasitology, reflecting a strong influence in the field. His profile also highlights a growing number of citations for his studies on feeding ecology, population dynamics, and the taxonomy of ecto-parasites. Additionally, he maintains an active presence on ResearchGate, where his publications and ongoing research are accessible to the broader academic community. Furthermore, his ORCID profile, which provides a unique identifier for his scholarly contributions, links to a broad range of his works, underlining his long-standing impact in his research areas.

Awards & Honors

Recognized for contributions to ornithological research and for the study of bird ecology in southern Africa.
Published over 50 scientific articles and book chapters on avian ecology, population dynamics, and parasitology.
Active participant and contributor to international ecological research projects and academic conferences.

Publications Top Notes 📄

1. New feather mite species (Acarina: Analgoidea) from some starlings (Passeriformes: Sturnidae) of South Africa

Authors: SV Mironov, G Kopij
Published: 1996
Summary: This paper describes new species of feather mites from starlings (Passeriformes: Sturnidae) found in South Africa. The study highlights the diversity of ectoparasites in this avian family, focusing on the taxonomy and ecological relationships of the mite species discovered.
Journal/Publisher: N/A

2. The structure of assemblages and dietary relationships in birds of South African grasslands

Author: G Kopij
Published: 2006
Publisher: Wydawnictwo Akademii Rolniczej
Summary: This work investigates the ecological relationships and dietary structures within bird assemblages in South African grasslands. The study emphasizes how species co-exist and interact with each other in terms of food resources and habitat preferences.
Journal/Publisher: Wydawnictwo Akademii Rolniczej

3. Birds of Roma Valley, Lesotho

Author: G Kopij
Published: 2001
Publisher: Department of Biology, National University of Lesotho
Summary: This publication provides an overview of the bird species found in the Roma Valley of Lesotho. The work focuses on the avian diversity in the region, including rare and endemic species.
Journal/Publisher: Department of Biology, National University of Lesotho

4. Stomach content and grit ingestion by Rook Corvus frugilegus nestlings

Authors: G Orlowski, Z Ksasprzykowski, Z Zawada, G Kopij
Published: 2009
Journal: Ornis Fennica, 86(4), 117–122
Summary: This paper explores the stomach content and the role of grit ingestion in the diet of Rook nestlings. The study focuses on how grit affects the digestion and foraging behavior of these birds, offering insights into their dietary adaptations.
Journal/Publisher: Ornis Fennica

5. Atlas of birds of Bloemfontein

Author: G Kopij
Published: 2001
Publisher: Department of Biology, National University of Lesotho
Summary: This atlas presents a comprehensive guide to the bird species found in the Bloemfontein area. It includes detailed information on the distribution, habitat, and ecological significance of these birds.
Journal/Publisher: Department of Biology, National University of Lesotho

Conclusion

Grzegorz Kopij is undoubtedly a deserving candidate for the Best Researcher Award. His long-standing contributions to ornithology and ecology, particularly in the areas of feeding ecology, population dynamics, and parasitology, are exceptional. His ability to merge theoretical insights with practical conservation efforts has had a profound impact on the field. With further outreach and interdisciplinary collaboration, Professor Kopij could amplify the influence of his already outstanding body of work. His career showcases the ideal qualities for such an award: intellectual rigor, dedication to advancing science, and a passion for ecological conservation.

Güllü Akkaş | Manufacturing Technologies | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFatherLeave a Comment

Dr. Güllü Akkaş | Manufacturing Technologies | Best Researcher Award

Güllü Akkaş at Kayseri University/Technical Sciences Vocational School, Turkey📖

Asst. Prof. Dr. Güllü Akkaş is a Mechanical Engineering academic at Kayseri University, Turkey. She earned her Ph.D. in Manufacturing Engineering from Gazi University in 2017. Her research focuses on manufacturing processes, CAD, reverse engineering, and additive manufacturing. She has published several peer-reviewed papers and served as a Guest Researcher at TH Köln, Germany. Dr. Akkaş holds key administrative roles at Kayseri University, contributing to curriculum development and accreditation. Her work has received citations and recognition in the field of mechanical engineering and technical education.

Profile

Education Background🎓

1. Doctorate (Ph.D.) in Manufacturing Engineering

University: Gazi University, Turkey
Year: 2017
Dissertation Title: Design and Manufacturing of a Tapping Machine
Focus: The doctoral research centered around the design and manufacturing of a tapping machine, which included innovations in machining and manufacturing processes.

2. Master’s Degree (M.Sc.) in Manufacturing Engineering

University: Gazi University, Turkey
Year: 2014
Thesis Title: The Effect of Cutting Parameters on the Surface Roughness and Tool Wear in the Turning Process
Focus: The master’s thesis investigated the effect of cutting parameters on surface quality and tool durability during turning processes.

3. Bachelor’s Degree (B.Sc.) in Mechanical Engineering

University: Selçuk University, Turkey
Year: 2011
Focus: The undergraduate studies were centered on mechanical design, thermodynamics, and fluid mechanics, which laid the foundation for her later academic and research pursuits.

Professional Experience🌱

Dr. Akkaş has held various academic positions, including Lecturer PhD from 2017 to 2022, and was promoted to Assistant Professor in 2022 at Kayseri University. In 2023, she expanded her international experience as a Guest Researcher at TH Köln in Germany. Her administrative roles at Kayseri University encompass Deputy Head of the Department of Machine and Metal Technologies, Chairman of the Program Accreditation-Self-Assessment Commission, and several committee memberships related to curriculum development and quality assurance.

Research Interests🔬

Her research primarily focuses on:

Mechanical Engineering
Manufacturing Processes
Computer-Aided Design (CAD)
Reverse Engineering
Additive Manufacturing
Educational Technologies in Technical Education

Author Metrics

Dr. Akkaş has contributed to several peer-reviewed journals and conferences. Notable publications include:

“End Effector Position Calculation with the ANN for Tapping Machine,” published in the Journal of Engineering Research (2021).
“Strength of a Chair Renovated with Additive Production Systems and Reverse Engineering Approach,” featured in the European Journal of Science and Technology (2021).
“Kinematic Analysis of Tapping Machine and Simulation with Simmechanics,” in the Journal of Polytechnic (2019).

Her work has garnered citations, reflecting her impact in the field. According to DergiPark, her publications have been cited three times, and her work has achieved significant download counts, indicating widespread interest and applicability.

Awards & Honors

Throughout her career, Dr. Akkaş has been recognized for her contributions to mechanical engineering and technical education. Her dedication to integrating modern technologies into manufacturing and education has established her as a respected figure in her field.

Publications Top Notes 📄

1. “Strength of a chair renovated with additive production systems and reverse engineering approach”

Authors: G. Akkaş, T.A. Güzel
Journal: Avrupa Bilim ve Teknoloji Dergisi
Pages: 1150-1155
Citations: 2
Year: 2021

2. “Teknik Eleman Yetiştirmede Eğitim Şartlarının Öğrenciler Üzerindeki Etkilerinin İncelenmesi” (Investigation of the Effects of Educational Conditions on Students in Technical Personnel Training)

Authors: G. Akkaş, F. Gürbüz
Journal: Avrupa Bilim ve Teknoloji Dergisi
Pages: 197-203
Citations: 2
Year: 2020

3. “Design and Kinematics Analysis of a Drilling Robot”

Authors: G. Akkaş, İ. Korkut
Journal: International Journal of Innovative Research in Engineering and Management
Volume: 3
Citations: 2* (uncertain notation, possibly impact factor or ranking)
Year: 2016

4. “Aa 6013-T651 Alüminyum Alaşımında Sürtünme Karıştırma Kaynağının, Mikroyapı ve Mekanik Özellikler Üzerindeki Etkileri” (The Effects of Friction Stir Welding on Microstructure and Mechanical Properties of AA 6013-T651 Aluminum Alloy)

Author: G. Akkaş
Type: Master’s Thesis
Institution: Erciyes University, Institute of Science, Kayseri
Citations: 2
Year: 2012

5. “End Effector Position Calculation with the ANN for Tapping Machine”

Author: G. Akkaş
Journal: Journal of Engineering Research
Volume: 9 (3B)
Citations: 1

Conclusion

Dr. Güllü Akkaş is an excellent candidate for the Best Researcher Award due to her robust academic credentials, impactful research, and significant contributions to the field of manufacturing technologies. She has demonstrated expertise in key areas such as additive manufacturing, CAD, and reverse engineering, as well as leadership within her academic institution.

Her international experience, citations, and ongoing academic work further solidify her suitability for this recognition. With slight enhancements in her global visibility and interdisciplinary collaborations, Dr. Akkaş can continue to thrive as a pioneering researcher. Therefore, I would highly recommend Dr. Akkaş for the Best Researcher Award.

Abdelwaheb Aydi | Hydrology | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFatherLeave a Comment

Mr. Abdelwaheb Aydi | Hydrology | Best Researcher Award

Associate profesor at Faculty of Science of Bizerte, Tunisia📖

Dr. Abdelwaheb Aydi is an Associate Professor in Earth Sciences at the Faculty of Science of Bizerte, Tunisia. His expertise lies in environmental geosciences, waste management, and GIS applications. With a Ph.D. in Geological Sciences and extensive research in greenhouse gas emissions, landfill management, and hazardous waste treatment, he has published widely in peer-reviewed journals. He has also collaborated with international institutions and received recognition for his contributions to environmental sustainability.

Profile

Education Background🎓

Habilitation Thesis in Environmental Earth Sciences, Faculty of Science of Bizerte, Tunisia (2018)
Ph.D. in Geological Sciences, Faculty of Science of Sfax, Tunisia (2012)
Master’s Degree in Geosciences Applied to Natural Resources and Environment, Faculty of Science of Sfax, Tunisia (2004)
Engineering Degree in Earth Sciences and Environment, National School of Engineers of Sfax, Tunisia (2002)
Baccalaureate in Experimental Sciences (1997)

Professional Experience🌱

Dr. Aydi has been serving as an Associate Professor at the Faculty of Science of Bizerte since 2019, after holding the position of Assistant Professor from 2013 to 2019. He has also taught Geographic Information Systems (GIS) and Engineering Geology at the National School of Engineers of Sfax. Before his academic tenure, he gained industry experience as an Engineer in Mud Treatment and Hazardous Waste at New Eau Ster, Tunisia (2007-2010), and as a Civil Engineer at Company Chaâbane, Tunisia (2004-2006).

Research Interests🔬

Dr. Aydi’s research spans multiple domains of environmental earth sciences, including:

Greenhouse gas emissions and quantification
Municipal solid waste landfills
Multi-criteria environmental evaluations using GIS
Olive mill wastewater evaporation ponds
Hazardous waste treatment

Author Metrics

Dr. Aydi has contributed to various peer-reviewed journals and international conferences. His research is widely cited, reflecting his impact in the fields of environmental geosciences and waste management.

Awards & Honors

Dr. Aydi has been recognized for his contributions to environmental research and sustainability. He collaborates with international scholars and institutions, including the High National School of Engineers of Limoges, Florida State University, and Springer Publishing.

Publications Top Notes 📄

1. Assessment of Land Suitability for Olive Mill Wastewater Disposal Site Selection by Integrating Fuzzy Logic, AHP, and WLC in a GIS

Authors: A. Aydi, T. Abichou, I.H. Nasr, M. Louati, M. Zairi
Journal: Environmental Monitoring and Assessment
Citations: 100
Year: 2016
Summary: This study integrates Fuzzy Logic, Analytical Hierarchy Process (AHP), and Weighted Linear Combination (WLC) in a Geographic Information System (GIS) to optimize site selection for olive mill wastewater disposal.

2. Soil Contamination by Heavy Metals in Landfills: Measurements from an Unlined Leachate Storage Basin

Authors: F. Bouzayani, A. Aydi, T. Abichou
Journal: Environmental Monitoring and Assessment
Citations: 58
Year: 2014
Summary: Investigates heavy metal contamination in soil near landfills, emphasizing the risks posed by unlined leachate storage basins.

3. Evaluation of Groundwater Vulnerability to Pollution Using a GIS-Based Multi-Criteria Decision Analysis

Author: A. Aydi
Journal: Groundwater for Sustainable Development
Citations: 55
Year: 2018
Summary: Assesses groundwater vulnerability using a GIS-based multi-criteria decision-making approach to identify areas at high risk of pollution.

4. Assessing the Effect of an Olive Mill Wastewater Evaporation Pond in Sousse, Tunisia

Authors: R. S’habou, M. Zairi, A. Kallel, A. Aydi, H. Ben Dhia
Journal: Environmental Geology
Citations: 55
Year: 2009
Summary: Evaluates the environmental impacts of an olive mill wastewater evaporation pond on surrounding water resources and soil quality.

5. Assessment of Heavy Metal Contamination Risk in Soils of Landfill of Bizerte (Tunisia) with a Focus on Application of Pollution Indicators

Author: A. Aydi
Journal: Environmental Earth Sciences
Citations: 43
Year: 2015
Summary: Analyzes soil contamination by heavy metals in landfill areas using pollution indicators to assess environmental risks.

Conclusion

Dr. Abdelwaheb Aydi is a highly suitable candidate for the Best Researcher Award in Hydrology. His extensive research, interdisciplinary expertise, and strong academic contributions make him a top contender. With a solid publication record, international collaborations, and a focus on sustainability, he has significantly contributed to environmental geosciences. Expanding his global reach through policy engagement and international grants would further strengthen his profile.

An Zeng | Machine Learning | Best Researcher Award

Posted on 12/02/202512/02/2025 by ScienceFatherLeave a Comment

Prof. An Zeng | Machine Learning | Best Researcher Award

Professor at Guangdong University of Technology, China📖

Professor Zeng An is a distinguished researcher with extensive expertise in machine learning, data mining technologies, and their applications in medicine. Her work has significantly contributed to the advancement of deep learning, neural networks, probabilistic models, rough set theory, genetic algorithms, and other optimization methods. Since her postdoctoral research at the National Research Council of Canada and Dalhousie University (2008–2011) under the guidance of Professor Kenneth Rockwood, Professor Xiaowei Song, and Professor Arnold Mitnitski, she has been dedicated to applying these computational techniques to clinical research on Alzheimer’s Disease (AD).

Profile

Education Background🎓

Professor Zeng An completed her postdoctoral research at the National Research Council of Canada, collaborating with leading experts in medical AI applications. She holds a Ph.D. in Computer Science with a focus on machine learning and data mining techniques for medical applications. Her academic journey also includes a master’s and a bachelor’s degree in computer science or related fields (specific institutions and years can be added if available).

Professional Experience🌱

With a career spanning academia and research, Professor Zeng An has held key positions in leading universities and research institutions. During her postdoctoral tenure (2008–2011), she worked at Dalhousie University’s Faculty of Computer Science and Faculty of Medicine, contributing to AI-driven clinical research on neurodegenerative diseases. She has since continued her work in academia, conducting research on advanced machine learning techniques, medical data analysis, and clinical decision support systems.

Research Interests🔬

Professor Zeng An’s research focuses on developing intelligent algorithms for medical applications, particularly in Alzheimer’s Disease diagnostics and prediction. She specializes in deep learning, neural networks, probabilistic models, genetic algorithms, and optimization techniques. Her work extends to clinical data mining, patient risk assessment, and AI-driven medical decision-making, significantly impacting precision medicine.

Author Metrics

Professor Zeng An has a strong publication record in high-impact journals and conferences related to machine learning, AI in healthcare, and medical informatics. Her work has received substantial citations, reflecting her influence in the field. Key metrics such as H-index, i10-index, and total citations further highlight her academic contributions (specific numbers can be added if available).

Awards & Honors

Throughout her career, Professor Zeng An has received prestigious awards and recognitions for her contributions to AI and medical research. Her collaborations with renowned scientists in AI-driven healthcare innovations have led to groundbreaking advancements in the field. She continues to be a leading figure in interdisciplinary research, bridging computer science and medicine for improved healthcare outcomes.

Publications Top Notes 📄

1. Reinforcement Learning-Based Method for Type B Aortic Dissection Localization

Authors: Zeng An, Xianyang Lin, Jingliang Zhao, Baoyao Yang, Xin Liu
Journal: Journal of Biomedical Engineering (Shengwu Yixue Gongchengxue Zazhi), 2024
Citations: 0
Summary: This study presents a reinforcement learning-based approach for accurately localizing Type B aortic dissection, improving diagnostic precision in medical imaging.

2. Progressive Deep Snake for Instance Boundary Extraction in Medical Images (Open Access)

Authors: Zixuan Tang, Bin Chen, Zeng An, Mengyuan Liu, Shen Zhao
Journal: Expert Systems with Applications, 2024
Citations: 2
Summary: The research introduces a progressive deep snake model to enhance boundary extraction in medical images, facilitating precise segmentation for clinical applications.

3. Multi-Scale Quaternion CNN and BiGRU with Cross Self-Attention Feature Fusion for Fault Diagnosis of Bearing

Authors: Huanbai Liu, Fanlong Zhang, Yin Tan, Shenghong Luo, Zeng An
Journal: Measurement Science and Technology, 2024
Citations: 1
Summary: This paper develops a multi-scale quaternion CNN and BiGRU model integrating cross self-attention feature fusion to enhance the accuracy of bearing fault diagnosis in industrial applications.

4. An Ensemble Model for Assisting Early Alzheimer’s Disease Diagnosis Based on Structural Magnetic Resonance Imaging with Dual-Time-Point Fusion

Authors: Zeng An, Jianbin Wang, Dan Pan, Wenge Chen, Juhua Wu
Journal: Journal of Biomedical Engineering (Shengwu Yixue Gongchengxue Zazhi), 2024
Citations: 0
Summary: The study proposes an ensemble model utilizing dual-time-point fusion of MRI scans to improve early detection and diagnosis of Alzheimer’s Disease.

5. FedDUS: Lung Tumor Segmentation on CT Images Through Federated Semi-Supervised Learning with Dynamic Update Strategy

Authors: Dan Wang, Chu Han, Zhen Zhang, Zhenwei Shi, Zaiyi Liu
Journal: Computer Methods and Programs in Biomedicine, 2024
Summary: This research introduces a federated semi-supervised learning framework with a dynamic update strategy for effective lung tumor segmentation in CT imaging.

Conclusion

Professor An Zeng is a highly qualified candidate for the Best Researcher Award, given her outstanding contributions to AI in medicine, deep learning, and computational diagnostics. Her strong publication record, international research experience, and interdisciplinary approach make her an excellent nominee. While expanding clinical collaborations and citation impact would further enhance her profile, her cutting-edge research already positions her as a leader in medical AI applications.

Kamta Nath Mishra | Technological Networks | Best Researcher Award

Posted on 12/02/202512/02/2025 by ScienceFatherLeave a Comment

Dr. Kamta Nath Mishra | Technological Networks | Best Researcher Award

Associate Professor at BIT mesra, India📖

Dr. Kamta Nath Mishra is an Assistant Professor in the Department of Computer Science and Engineering at Birla Institute of Technology (BIT) Mesra, Deoghar Off-Campus. With over 25 years of teaching experience and 8 years in research, he specializes in areas such as operating systems, software engineering, data structures, computer algorithms, data communications, computer networks, programming languages, distributed computing, and Cloud-IoT technologies.

Profile

Education Background🎓

Dr. Mishra earned his Ph.D. in Engineering from BIT Mesra in May 2015, focusing his research on developing a framework for multi-biometric systems aimed at enhancing personal identification techniques. Prior to this, he completed an M.S. in Software Systems from Birla Institute of Technology & Science (BITS), Pilani, in 2003, and a Master of Computer Applications (MCA) from Madan Mohan Malviya Engineering College, Gorakhpur, in 1996. He began his academic journey with a Bachelor of Science in Mathematics from Gorakhpur University in 1992.

Professional Experience🌱

Dr. Mishra’s professional career encompasses both international and national academic positions. Internationally, he served as an Assistant Professor in the Computer Science Department at Sebha University in Libya from October 2006 to July 2009, where he taught and guided research projects for undergraduate students. In India, he has held various roles at BIT Mesra, including Assistant Professor at the Noida Campus from July 2004 to September 2006, and at the main campus in Ranchi since August 2009. Additionally, he worked as a Senior Project Engineer at the Centre for Development of Advanced Computing (CDAC) in Noida, contributing to multiple research projects and teaching postgraduate students.

Research Interests🔬

Dr. Mishra’s research interests are diverse, focusing on areas such as multi-biometric systems, personal identification techniques, image processing and analysis, data communication and networks, distributed computing, and Cloud-IoT technologies. He has guided numerous research projects at both undergraduate and postgraduate levels, contributing to advancements in these fields.

Author Metrics

Throughout his career, Dr. Mishra has published extensively in reputable journals and conferences. His publications cover a range of topics, including data security in cloud-based IoT technologies, deadlock prevention in distributed systems, and multi-biometric systems for personal identification. He has also contributed chapters to edited books and presented papers at international and national conferences.

Publications Top Notes 📄

1. A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies

Authors: KN Mishra, C Chakraborty
Book: Digital Twin Technologies and Smart Cities
Pages: 19-35
Citations: 81
Year: 2020

2. An Efficient Horizontal and Vertical Method for Online DNA Sequence Compression

Authors: KN Mishra, A Aggarwal, E Abdelhadi, DPC Srivastava
Journal: International Journal of Computer Applications
Volume/Issue: 3 (1)
Pages: 39-46
Citations: 67
Year: 2010

3. Channel Capacity Enhancement Using MIMO Technology

Authors: A Kumar, KN Mishra, A Mukherjee, AK Chaudhary
Conference: IEEE-International Conference on Advances in Engineering, Science and Management
Citations: 36
Year: 2012

4. A Novel Approach Towards Using Big Data and IoT for Improving the Efficiency of M-Health Systems

Authors: KN Mishra, C Chakraborty
Book: Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare
Citations: 31
Year: 2020

5. Fraud Prediction in Smart Societies Using Logistic Regression and K-Fold Machine Learning Techniques

Authors: KN Mishra, SC Pandey
Journal: Wireless Personal Communications
Volume/Issue: 119 (2)
Pages: 1341-1367
Citations: 30

Conclusion

Dr. Kamta Nath Mishra is a highly deserving candidate for the Best Researcher Award in Technological Networks. His significant contributions to Cloud-IoT technologies, biometric systems, AI-based fraud detection, and smart city development make him a valuable researcher in the field.

While further industry collaboration, patent development, and expansion into globally recognized journals could strengthen his research impact, his current achievements, diverse expertise, and strong publication record already establish him as a leading researcher.

Thus, Dr. Mishra stands as an outstanding nominee for the Best Researcher Award, recognizing his excellence in technological innovations and scholarly advancements.

Chandrajit Balomajumder | Biological Networks | Best Researcher Award

Posted on 12/02/202512/02/2025 by ScienceFatherLeave a Comment

Prof. Chandrajit Balomajumder | Biological Networks | Best Researcher Award

Professor at IIT ROORKEE, India📖

Prof. Chandrajit Balomajumder is a Senior Professor in the Department of Chemical Engineering at IIT Roorkee, with over 36 years of experience in research, teaching, and academic administration. He has held several prestigious positions, including Head of the Chemical Engineering Department, Associate Dean (SRIC), and Chairman of PAN-IIT – ONGC Collaboration. His research focuses on environmental engineering, biochemical engineering, bioenergy, methane gas hydrate, green hydrogen production, and industrial pollution abatement. He has guided 35 Ph.D. scholars, 105 M.Tech, and 246 B.Tech students and has been actively involved in national and international collaborations across Canada, USA, UK, Germany, Austria, and more.

Profile