Author: usudeeparya

Education Background🎓

Dr. Panić obtained his Bachelor’s and Master’s degrees in Electrical and Computer Engineering from the University of Novi Sad in 2009 and 2010, respectively. He earned his Ph.D. in Computer Science Engineering in 2020 under a joint program between the University of Novi Sad and Ghent University.

Professional Experience🌱

Dr. Panić has actively participated in numerous international projects, including HORIZON2020 initiatives such as ANTARES, agROBOfood, FLEXIGROBOTS, CYBELE, and DRAGON. He has also led and contributed to multiple domestic projects funded by the Serbian government and innovation agencies. As the leader of the Computer Vision research group at BioSense Institute, he supervises five Ph.D. students and has successfully collaborated on industry-focused AI-driven solutions. His team has achieved recognition in competitions like the Syngenta Crop Challenge and OpenCV challenges.

Research Interests🔬

Dr. Panić’s research focuses on computer vision, machine learning, hyperspectral imaging, medical imaging, and AI applications in agriculture, biology, and environmental science. His expertise includes Markov random field modeling, MRI reconstruction, and probabilistic graphical models.

Author Metrics

Scopus: 420 citations, h-index: 12
Google Scholar: 606 citations, h-index: 13

Awards & Honors

Awarded as a Distinguished Scientist (Top 10% in the category of scientific associates) in Technical and Technological Sciences.
Led the AITool4WYP project funded by the Innovation Fund.
Task leader on the BREATH project funded by the Science Fund.
Recognized for achievements in Syngenta Crop Challenge and OpenCV Challenges, securing finalist positions and top awards.

Publications Top Notes 📄

1. Automatic pollen recognition with the Rapid-E particle counter: The first-level procedure, experience, and next steps

Authors: I. Šaulienė, L. Šukienė, G. Daunys, G. Valiulis, L. Vaitkevičius, P. Matavulj, M. Panić, et al.
Journal: Atmospheric Measurement Techniques
Volume/Issue: 12(6)
Pages: 3435-3452
Year: 2019
Citations: 113
DOI: Link

2. A new low-cost portable multispectral optical device for precise plant status assessment

Authors: G. Kitić, A. Tagarakis, N. Cselyuszka, M. Panić, S. Birgermajer, D. Sakulski, et al.
Journal: Computers and Electronics in Agriculture
Volume: 162
Pages: 300-308
Year: 2019
Citations: 58
DOI: Link

3. Soybean varieties portfolio optimization based on yield prediction

Authors: O. Marko, S. Brdar, M. Panić, P. Lugonja, V. Crnojević
Journal: Computers and Electronics in Agriculture
Volume: 127
Pages: 467-474
Year: 2016
Citations: 47
DOI: Link

4. RealForAll: Real-time system for automatic detection of airborne pollen

Authors: D. Tešendić, D. Boberić Krstićev, P. Matavulj, S. Brdar, M. Panić, V. Minić, et al.
Journal: Enterprise Information Systems
Volume/Issue: 16(5)
Article ID: 1793391
Year: 2022
Citations: 38
DOI: Link

5. High temporal resolution of airborne Ambrosia pollen measurements above the source reveals emission characteristics

Authors: B. Šikoparija, G. Mimić, M. Panić, O. Marko, P. Radišić, T. Pejak-Šikoparija, et al.
Journal: Atmospheric Environment
Volume: 192
Pages: 13-23
Year: 2018
Citations: 37
DOI: Link

Conclusion

Dr. Marko Panić is a highly accomplished researcher with a strong background in Inverse Imaging Problems, computational vision, and AI applications in environmental science and agriculture. His leadership, publication impact, and project contributions make him an excellent candidate for the Best Researcher Award. Expanding his research into commercial AI applications and interdisciplinary collaborations could further solidify his standing as a global leader in computational imaging.

Hytham Ali Elwardany | Earthquake Engineering Sciences | Best Researcher Award

Posted on 20/02/202520/02/2025 by usudeeparyaLeave a Comment

Assoc. Prof. Dr. Hytham Ali Elwardany | Earthquake Engineering Sciences | Best Researcher Award

Associate Professor at Delta University of Science and Technology, Egypt📖

Assoc. Prof. Hytham Ali Elwardany is an accomplished structural engineer with over 25 years of experience in design, management, and academia. He specializes in reinforced concrete and steel structures, seismic analysis, and structural dynamics. Currently, he serves as an Associate Professor of Structural Engineering at Delta University, Egypt, while also leading Power Building for Engineering and Design Services.

Profile

Education Background🎓

Ph.D. in Structural Engineering, Tanta University, 2015
M.Sc. in Structural Engineering, Tanta University, 2007
B.Sc. in Civil Engineering, Tanta University, 2000 (Graduated with “Very Good,” Project Grade: Excellent, Ranked 8th in the Department)

Professional Experience🌱

Assoc. Prof. Elwardany has extensive expertise in the design and management of structural projects, including industrial facilities, power plants, desalination plants, pumping stations, substations, and residential and educational buildings. Since 2019, he has been the General Manager of Power Building for Engineering and Design Services. He has been an Associate Professor at Delta University since 2016 and previously served as a Senior Engineer at Consulting Engineering Co. (CEC). Additionally, he worked as an Expert Engineer for the Egyptian Ministry of Justice (2005–2016) and contributed to the General Authority for Educational Buildings (2001–2005).

Research Interests🔬

His research focuses on earthquake engineering, seismic-induced pounding, structural dynamics, modeling of seismic waves, experimental methods, and reinforced concrete and steel structures.

Author Metrics

Assoc. Prof. Elwardany has contributed to numerous research papers in structural engineering, particularly in seismic analysis and reinforced concrete structures. His work has been cited in various academic and engineering publications.

Awards & Honors

Honorary recognition from the Egyptian Engineers Syndicate (2001)
Presidential Congratulation from President Hosni Mubarak (2001)

Publications Top Notes 📄

1. Seismic Pounding Behavior of Multi-Story Buildings in Series Considering the Effect of Infill Panels

Authors: H. Elwardany, A. Seleemah, R. Jankowski
Journal: Engineering Structures, Vol. 144, pp. 139-150
Citations: 77
Year: 2017

2. Influence of Soil–Structure Interaction on Seismic Pounding Between Steel Frame Buildings Considering the Effect of Infill Panels

Authors: H. Elwardany, A. Seleemah, R. Jankowski, S. El-Khoriby
Journal: Bulletin of Earthquake Engineering, Vol. 17, pp. 6165-6202
Citations: 72
Year: 2019

3. Experimental Study on Pounding Between Structures During Damaging Earthquakes

Authors: R. Jankowski, A. Seleemah, S. El-Khoriby, H. Elwardany
Journal: Key Engineering Materials, Vol. 627, pp. 249-252
Citations: 41
Year: 2015

4. Mitigating the Seismic Pounding of Multi-Story Buildings in Series Using Linear and Nonlinear Fluid Viscous Dampers

Authors: H. Elwardany, R. Jankowski, A. Seleemah
Journal: Archives of Civil and Mechanical Engineering, Vol. 21 (4), Article 137
Citations: 28
Year: 2021

5. Experimental and Numerical Study on Pounding of Structures in Series

Authors: S. El-Khoriby, A. Seleemah, H. Elwardany, R. Jankowski
Book Chapter: Advances in Structural Engineering: Dynamics, Volume Two, pp. 1073-1089
Citations: 13
Year: 2015

Conclusion

Assoc. Prof. Dr. Hytham Ali Elwardany is a strong candidate for the Best Researcher Award in Earthquake Engineering Sciences. His extensive research, high-impact publications, and real-world contributions to seismic safety make him a leading figure in structural engineering. By further expanding global collaborations, focusing on innovative seismic technologies, and engaging in public policy development, he can enhance his already impressive contributions. His dedication to earthquake resilience and structural safety makes him highly deserving of this prestigious recognition. 🚀

Zhang Zhang | Algorithms | Best Researcher Award

Posted on 20/02/202520/02/2025 by usudeeparyaLeave a Comment

Mr. Zhang Zhang | Algorithms | Best Researcher Award

Phd Student at Beijing Normal University, China📖

Zhang Zhang is a Ph.D. candidate in Complex Systems Analysis at Beijing Normal University, with visiting research experience at the University of California, San Diego, and the University of Padua. His research focuses on AI by Complexity, Machine Learning for Complex Systems, and Complex Networks. He has authored multiple high-impact papers and has received several prestigious awards for his academic excellence and contributions to network science.

Profile

Education Background🎓

Ph.D. in Complex Systems Analysis, Beijing Normal University (2019–Present)
Visiting Ph.D. Student, University of California, San Diego (2023–2024)
Visiting Ph.D. Student, University of Padua (2022–2023)
B.A. in Information Security, Hangzhou Dianzi University (2013–2017)

Professional Experience🌱

Research Assistant, Beijing Normal University (2018–2019)
Teaching Experience: Taught Python Programming, Machine Learning, and Deep Learning Principles; developed online courses on deep learning with significant engagement.
Reviewer for Information Science and Neural Computing and Applications.

Research Interests🔬

AI by Complexity
Machine Learning for Complex Systems
Complex Networks

Author Metrics

Total Citations: 252
h-index: 7
Publications: Featured in Nature Communications, Applied Network Science, Physical Review E, and top AI/complex networks conferences.

Awards & Honors

First-Class Scholarship (2020, 2022, 2023) – Beijing Normal University
China Scholarship Council (CSC) Scholarship – National High-Level Joint Doctoral Training Program (2022)
Best Team Award – Mediterranean School of Complex Networks (2022)

Publications Top Notes 📄

1. The Cinderella Complex: Word embeddings reveal gender stereotypes in movies and books

Authors: H. Xu, Z. Zhang, L. Wu, C.J. Wang
Journal: PLOS One
Volume/Issue: 14(11)
DOI: 10.1371/journal.pone.0225385
Year: 2019
Citations: 89
Abstract: This study investigates how word embeddings reveal gender stereotypes in movies and literature, highlighting biases in linguistic representations over time.

2. A General Deep Learning Framework for Network Reconstruction and Dynamics Learning

Authors: Z. Zhang, Y. Zhao, J. Liu, S. Wang, R. Tao, R. Xin, J. Zhang
Journal: Applied Network Science
Volume/Issue: 4, 1-17
DOI: 10.1007/s41109-019-0184-x
Year: 2019
Citations: 64
Abstract: This paper presents a deep learning-based framework for reconstructing networks and learning their dynamics from time-series data, with applications in neuroscience and finance.

3. An Interpretable Deep-Learning Architecture of Capsule Networks for Identifying Cell-Type Gene Expression Programs from Single-Cell RNA-Sequencing Data

Authors: L. Wang, R. Nie, Z. Yu, R. Xin, C. Zheng, Z. Zhang, J. Zhang, J. Cai
Journal: Nature Machine Intelligence
Volume/Issue: 2(11), 693-703
DOI: 10.1038/s42256-020-00233-8
Year: 2020
Citations: 53
Abstract: This study introduces an interpretable deep-learning model using capsule networks to analyze gene expression patterns, improving accuracy in single-cell sequencing studies.

4. Universal Framework for Reconstructing Complex Networks and Node Dynamics from Discrete or Continuous Dynamics Data

Authors: Y. Zhang, Y. Guo, Z. Zhang, M. Chen, S. Wang, J. Zhang
Journal: Physical Review E
Volume/Issue: 106(3), 034315
DOI: 10.1103/PhysRevE.106.034315
Year: 2022
Citations: 20
Abstract: A theoretical framework to reconstruct network structures and node dynamics from both discrete and continuous data, providing insights into complex system behavior.

5. Inferring Network Structure with Unobservable Nodes from Time Series Data

Authors: M. Chen, Y. Zhang, Z. Zhang, L. Du, S. Wang, J. Zhang
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Volume/Issue: 32(1)
DOI: 10.1063/5.0071531
Year: 2022
Citations: 14
Abstract: A novel approach to infer hidden structures in dynamic networks where some nodes remain unobservable, with applications in neuroscience and social networks.

Conclusion

Zhang Zhang is an excellent candidate for the Best Researcher Award based on his strong academic contributions, international exposure, and impactful research in Complex Networks and AI by Complexity. His publication record, citations, and involvement in high-quality research collaborations position him as a highly deserving researcher. Strengthening his industry impact, increasing citations, and taking on more leadership roles in research projects would further solidify his case for this prestigious award.

Alexander Kruglov | Biological Networks | Best Researcher Award

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

Assist. Prof. Dr. Alexander Kruglov | Biological Networks | Best Researcher Award

Head of Clinical Microbiology at Moscow Department of Health MMCC”Kommunarka”, Russia📖

Dr. Alexander N. Kruglov is a distinguished microbiologist with over 40 years of experience in clinical microbiology and infectious diseases. He has dedicated his career to advancing microbiological research, laboratory management, and the study of antimicrobial resistance. Dr. Kruglov has held key leadership roles in various prestigious medical institutions, contributing significantly to the understanding and management of infectious diseases. His expertise spans microbiological diagnostics, antimicrobial resistance surveillance, and clinical bacteriology.

Profile

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 usudeeparyaLeave 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 usudeeparyaLeave 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 usudeeparyaLeave 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 usudeeparyaLeave 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 usudeeparyaLeave 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 usudeeparyaLeave 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