Ondra Sracek | Isotopes | Excellence Award

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Prof. Ondra Sracek | Isotopes | Excellence Award

Prof. Ondra Sracek, Palacky University, Czech Republic

prof. ondra šráček is a distinguished researcher in hydrogeology and environmental geochemistry at Palacky University in the Czech Republic. His work focuses on the behavior and impacts of contaminants from mining activities, especially in sub-Saharan Africa. He has authored multiple influential texts in geochemical and hydrogeological modeling, such as Applications of Geochemical and Reactive Transport Modeling in Hydrogeology (2013) and Introduction to Environmental Hydrogeochemistry (2004). With an h-index of 40 on Web of Science and 43 on Scopus, he has over 5,000 citations, indicating the high impact of his research. He serves as an associate editor for the Journal of Geochemical Exploration and Geofluids.

PROFILE

Scopus Profile

Professional Experience

prof. šráček has conducted extensive research on contaminants in mining areas, particularly copper, lead, zinc, and cobalt ores. His expertise includes hydrogeological modeling, isotopic analysis, and mine drainage. He collaborates with renowned institutions worldwide, including the Royal Institute of Technology in Stockholm, the University of Sao Paulo, and the Universidad Nacional Autónoma de México. His role as an associate editor in high-impact journals emphasizes his commitment to advancing environmental geochemistry and hydrogeology.

Research and Innovations

Exploitation and Treatment of Cu, Pb, Zn, and Co Ores in Sub-Saharan Africa: A natural laboratory for contaminant behavior analysis, funded by the Czech Republic’s Grant Agency (GAČR) (2016-2018). Collaborators: M. Mihajlevič, B. Kříbek, and A. Vaněk.

Metals and Their Isotopes in Mining Areas of Sub-Saharan Africa: Focuses on understanding contaminant geochemistry and environmental impacts (2023-2025), funded by GAČR, with M. Mihajlevič, B. Kříbek, and A. Vaněk.

Consultancy and Industry Projects

prof. šráček has contributed to numerous consultancy projects, leveraging his expertise to solve environmental geochemistry and hydrogeological challenges.

Editorial and Professional Engagement

Associate Editor, Journal of Geochemical Exploration and Geofluids

Member, International Association of GeoChemistry (IAGC)

Research Interest

prof. šráček’s research spans hydrogeology, geochemical and reactive transport modeling, and environmental geochemistry, with a focus on contaminant flow systems, arsenic, isotopes, and mining impact analysis. His interdisciplinary collaborations extend globally, reinforcing his leadership in environmental geosciences.

Top Notable Publications

Sracek, O., Ettler, V., Kříbek, B., Zádorová, T., Vaněk, A. (2024). Characterization and stable isotopic fingerprinting of mine seepage in hyperarid environments: An example of the Namib Lead & Zinc mine, Namibia. Journal of Geochemical Exploration, 265, 107554.

Citations: 0 (Open access)

Sracek, O., Ettler, V., Mihaljevič, M., Zádorová, T., Vaněk, A. (2024). Identification of processes in Cu-ore heap leaching using Cu isotopes and leachate chemistry at Tschudi mine, northern Namibia. Hydrometallurgy, 228, 106356.

Citations: 0

Rafenoarisoa, O.E.M., Sracek, O., Rahobisoa, J.-J., Jačková, I., Brouyère, S. (2024). The origin of high salinity and hydrogeochemical characteristics of groundwater in semi-arid area of the Linta Basin, Southwestern Madagascar. Journal of African Earth Sciences, 213, 105215.

Citations: 1

Cień, D., d’Obyrn, K., Starczewska, M., Motyka, J., Sracek, O. (2024). Coal Mine Drainage as a Source of Drinking and Industrial Water—The Upper Silesian Coal Basin, Poland. Energies, 17(5), 1175.

Citations: 2 (Open access)

Saghravani, S.R., Yusoff, I., Vadiati, M., Sracek, O., Bhattacharya, P. (2024). Multi-isotopic and hydrochemical evidence of water resources evolution and recharge estimation in the tropical coastal aquifer. Groundwater for Sustainable Development, 24, 101065.

Citations: 5

Hršelová, P., Sracek, O., Filip, J., Hrazdil, V., Malý, K. (2024). The role of jarosite minerals in the attenuation of metals and arsenic in mine drainage system (example from the Pekelská Adit, Czech Republic). Journal of Geosciences (Czech Republic), 69(2), pp. 99–111.

Citations: 0

Ettler, V., Raus, K., Mihaljevič, M., Koubová, M., Mapani, B. (2023). Bioaccessible metals in dust materials from non-sulfide Zn deposit and related hydrometallurgical operation. Chemosphere, 345, 140498.

Citations: 3

Conclusion

Prof. Ondra Sracek is exceptionally well-qualified for the Research for Excellence Award. His work in isotopic geochemistry, environmental contamination, and hydrological systems aligns closely with the award’s objectives, making him a deserving candidate whose research continues to shape environmental geochemistry.

 

 

 

 

 

 

Solmaz Kahourzade | Electrical | Excellence in Research

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Dr. Solmaz Kahourzade | Electrical | Excellence in Research

Dr. Solmaz Kahourzade, University of south australia, Australia

Dr. Solmaz Kahourzade is a prominent scholar and researcher in the field of electrical engineering, specializing in electrical machines, power systems, and electromobility. With over 30 years of experience in academia and industry, Dr. Kahourzade has made significant contributions to the design, modeling, and analysis of electrical machines and systems. Currently an Associate Professor at the University of South Australia, he also serves as the Head of the Department of Electrodynamics and Electrical Machine Systems at Rzeszow University of Technology in Poland. He has authored over 100 technical papers and co-authored four books, marking him as a key thought leader in his field.

PROFILE

Orcid Profile

Educational Details

Dr. Kahourzade’s academic journey began with a Bachelor’s degree in Electrical Engineering from Rzeszow University of Technology, followed by a Ph.D. in Electrical Engineering from the Silesian University of Technology in 2003. He was later awarded a DSc (Doctor of Sciences) from Rzeszow University of Technology in 2014, solidifying his expertise and scholarly contributions to electrical engineering.

Professional Experience

Dr. Kahourzade has held multiple esteemed roles in academia and industry, including serving as Assistant Professor, Associate Professor, and now as the Head of the Department of Electrodynamics and Electrical Machine Systems at Rzeszow University of Technology. He was also the Dean of the Faculty of Electrical and Computer Engineering from 2019 to 2020. In addition to his academic career, Dr. Kahourzade worked as a Consultant at YASA Motors Poland (2017-2018), where he focused on electrical machines, particularly for automotive applications. His extensive teaching and leadership roles have earned him a reputation as an expert in his field.

Research Interests

Dr. Kahourzade’s research interests encompass a wide range of topics related to electrical machines and power systems. His work primarily focuses on the design, modeling (2D/3D), and analysis of switched reluctance and brushless permanent magnet motors for automotive, domestic, and hybrid drive systems. He has a particular interest in fault-tolerant and multi-winding, multi-channel drives, as well as their diagnostics. His research also explores electromobility, fuel cells, power engineering, and automation systems, with applications in electric and hybrid vehicles and aircraft hybrid drive systems.

Skills

Dr. Kahourzade is proficient in several CAD programs such as AutoCAD, Inventor, and 3DS Max, along with specialized software tools including Matlab, Ansys, Ansys Electronics, Motor-CAD, and Flux. These tools support his research and design efforts, making him well-versed in both theoretical and practical aspects of electrical engineering and electromobility systems.

Top Notable Publications

FEA-Based Design Procedure for IPMSM and IM for a Hybrid Electric Vehicle

Authors: Not listed in the provided information

Year: 2024

Journal: Applied Sciences

DOI: 10.3390/app142210743

Source: Multidisciplinary Digital Publishing Institute

Bond graph model of line-start permanent-magnet synchronous motors

Authors: Not listed in the provided information

Year: 2024

Journal: Electrical Engineering

DOI: 10.1007/s00202-022-01654-w

HANDLE: 11541.2/31165

ISSN: 0948-7921

Source: The University of South Australia

WOS UID: 000857897300004

Effects of energy sharing and electricity tariffs on optimal sizing of PV-battery systems for grid-connected houses

Authors: Not listed in the provided information

Year: 2024

Journal: Computers and Electrical Engineering

DOI: 10.1016/j.compeleceng.2024.109457

HANDLE: 11541.2/39574

ISSN: 0045-7906

Source: The University of South Australia

WOS UID: 001270734400001

PM-free axial-flux motors for transport electrification

Authors: Not listed in the provided information

Year: 2024

Conference Paper: INTERMAG Short Papers

DOI: 10.1109/INTERMAGShortPapers61879.2024.10576887

ISBN: 9798350362220

HANDLE: 11541.2/39589

Source: The University of South Australia

A study on dual and single stator axial-flux induction machines

Authors: Not listed in the provided information

Year: 2023

Conference Paper: AUPEC 2022

DOI: 10.1109/AUPEC58309.2022.10216007

ISBN: 9798350339567

HANDLE: 11541.2/35874

WOS UID: 001058521300026

Source: The University of South Australia

Conclusion

Dr. Solmaz Kahourzade’s combination of leadership roles in academia, extensive research contributions, and expertise in cutting-edge technologies makes him a highly deserving candidate for the Research for Excellence in Research award. His research not only advances theoretical knowledge but also has significant practical implications in the fields of electromobility, electrical engineering, and power systems. His ongoing contributions to the development of sustainable and efficient electrical systems demonstrate his commitment to addressing global challenges through innovation.

 

 

 

 

 

 

Zhan-Long Wang | Engineering | Best Scholar Award

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Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Mehmet Yilmaz | Artificial Neural Networks | Best Researcher Award

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Mr. Mehmet Yilmaz | Artificial Neural Networks | Best Researcher Award

Mr, Mehmet Yilmaz, Kayseri University, Turkey

Mehmet Yilmaz is a lecturer in the Department of Architecture and Urban Planning at Kayseri University, Turkey. With an academic background in Geomatic Engineering from Erciyes University, he brings expertise in geotechnical engineering, real estate valuation, and geographic information systems (GIS) to his role. Currently pursuing his doctorate, Mr. Yilmaz’s teaching and research contributions focus on engineering applications in urban environments, including courses on land measurement, urban information systems, and property law. His work is dedicated to exploring innovative solutions in GIS and urban planning, addressing practical challenges in real estate valuation and geotechnical engineering.

PROFILE

Orcid Profile

Educational Details

Mr. Mehmet Yilmaz is a faculty member at Kayseri University, Turkey, where he specializes in engineering and urban planning. He is currently pursuing his Doctorate in Geomatic Engineering at Erciyes University’s Institute of Science (Fen Bilimleri Enstitüsü), continuing his journey in the same field in which he obtained both his postgraduate degree (2019-2021) and undergraduate degree (2007-2012). This solid academic foundation has equipped him with specialized skills in geographic information systems, geotechnical engineering, and real estate valuation.

Professional Experience

Since 2018, Mr. Yilmaz has served as a lecturer at Kayseri University in the Tomarza Mustafa Akıncıoğlu Vocational School of Architecture and Urban Planning. He previously taught at Erciyes University in the same department (2017-2018). Throughout his career, he has taught a wide array of courses, including Land Measurement, Expropriation Techniques, Real Estate Law, Urban Information Systems, and Real Estate Valuation Techniques, as well as foundational courses such as Mathematics and Basic Law. His commitment to teaching and hands-on field knowledge has contributed to his expertise in applied engineering and planning education.

Research Interests

Mr. Yilmaz’s research interests span several critical areas within engineering and urban planning, including geotechnical engineering, real estate valuation, geographic information systems (GIS), and image processing. His research has previously focused on topics such as property tax loss in mass valuation, as exemplified by his postgraduate thesis, which investigated the impacts of mass valuation on tax losses in the Kayseri region. This study highlights his interest in the integration of GIS and valuation techniques to address real-world urban planning challenges.

Top Notable Publications

Mehmet Yilmaz (2024)
Title: Hiperspektral görüntülerde Relief-F algoritması ile band seçimi
Source: Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
Publication Date: 2024-04-02
DOI: 10.28948/ngumuh.1408200

Mehmet Yilmaz (2023)
Title: Investigation of Real Estate Tax Leakage Loss Rates with ANNs
Source: Buildings
Publication Date: 2023-09-28
DOI: 10.3390/buildings13102464
ISSN: 2075-5309

Mehmet Yilmaz (2021)
Title: Determination of Housing Prices with Mass Appraisal in Turkey
Source: Ankara V. International Scientific Research Congress
Publication Date: 2021-10-18
(Conference abstract, no DOI provided)

Conclusion

Mr. Mehmet Yilmaz’s academic background, teaching experience, research interests, certifications, and publication record collectively establish him as a dedicated researcher in the fields of geomatics, urban planning, and real estate valuation. His interdisciplinary approach, integrating advanced technologies like GIS, hyperspectral imaging, and neural networks, is noteworthy for solving real-world challenges in property valuation and urban information systems. Given these qualifications, Mr. Yilmaz is a strong candidate for the Research for Best Researcher Award, with demonstrated potential for further contributions to his field.

 

 

 

 

 

 

 

Farooq ahmad | Forecasting | Best Researcher Award

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Mr. Farooq ahmad | Forecasting | Best Researcher Award

Mr. Farooq ahmad, Department Statistical Science, Pakistan

Farooq Ahmad is a doctoral candidate in Statistical Sciences at the University of Padova, Italy, with a focus on forecasting hydropower using innovation diffusion models. His academic journey began at the University of Peshawar, where he earned his Bachelor’s and Master’s degrees in Statistics. With a strong background in teaching and applied statistics, Farooq has held lecturer positions at the University of Peshawar and the University of Malakand. He is particularly interested in innovation diffusion modeling, sports statistics, and machine learning, driven by a commitment to advancing statistical research and its applications.

PROFILE

Orcid Profile

Educational Details

Farooq Ahmad is a PhD student in Statistical Sciences at the University of Padova, Italy, where he has been studying since March 2022 under the supervision of Prof. Livio Finos and co-supervisor Prof. Mariangela Guidolin. His doctoral research focuses on “Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis,” aiming for expected completion in March 2025. Farooq earned his Master’s degree in Sports Statistics from the University of Peshawar, Pakistan, in 2017, with a dissertation titled “Structural Equation Modeling for Evaluating the Performance of Test Match Winning Teams” and a final mark of 3.4/4.0. He completed his Bachelor’s degree in Statistics at the same university in 2013, presenting research on the effects of bowling combinations in test cricket.

Professional Experience

Farooq Ahmad began his teaching career as a Visiting Lecturer in the Department of Statistics at the University of Peshawar from 2014 to 2017. Subsequently, he joined the University of Malakand, Pakistan, as a Lecturer in the Department of Statistics, where he worked from September 2018 to January 2022. During his academic career, he has taught various courses in basic statistics, data processing, statistical computing, probability, and applied statistics, including practical skills in software like SPSS, Minitab, C++, and FORTRAN.

Research Interests

Farooq’s research spans multiple areas within applied and theoretical statistics, with a particular focus on innovation diffusion modeling, sports statistics, machine learning, time series modeling, and applied statistics. His current research investigates the potential of innovation diffusion models for hydropower forecasting, reflecting his interest in applying statistical methods to address real-world challenges.

Top Notable Publications

Forecasting Saudi Arabia’s Refined Petroleum Products: An In-depth Analysis of Time Series vs Machine Learning Models
Authors: Not provided
Year: 2024
Publication Date: November 21, 2024
Type: Preprint
DOI: 10.20944/preprints202411.1557.v1
Source: Crossref

Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis
Authors: Not provided
Year: 2024
Publication Date: November 16, 2024
Type: Journal Article
Journal: Forecasting
DOI: 10.3390/forecast6040052
Source: Crossref

Modeling the Future of Hydroelectric Power: A Cross-Country Study
Authors: Not provided
Year: 2024
Publication Date: July 19, 2024
Type: Conference Paper
DOI: 10.3390/engproc2024068056
Source: Crossref

Conclusion

In summary, Mr. Farooq Ahmad is a highly suitable candidate for the Best Researcher Award. His impactful work on forecasting hydropower through innovative diffusion models, combined with his extensive academic background, teaching experience, technical skills, and a record of recognition, make him a promising researcher with the potential to contribute significantly to forecasting science. His research aligns well with global needs, particularly in renewable energy forecasting, making him an exceptional choice for this award.

 

 

 

 

 

 

 

Xiao-Yong Zhang | AI-Driven | Best Researcher Award

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Prof. Xiao-Yong Zhang | AI-Driven | Best Researcher Award

Prof. Xiao-Yong Zhang, Shanghai Jiao Tong University School of Medicine, China

Dr. Xiao-Yong Zhang is a leading expert in medical imaging, with a special focus on using MRI and AI to advance diagnostic technology for brain health. He has held esteemed positions across top institutions in China and the U.S., contributing to neuroimaging through his roles as an editor, committee member, and principal investigator of high-impact research projects. Dr. Zhang’s innovative work in the quantitative detection of neuroinflammation and Alzheimer’s biomarkers underscores his commitment to advancing neurological diagnostics and personalized medicine.

PROFILE

Orcid  Profile

Educational Details

Ph.D. in Medical Imaging (2007), Fourth Military Medical University, Xi’an, China

Master of Medicine (M.Med.) in Radiological Sciences (2004), Fourth Military Medical University, Xi’an, China

Bachelor of Science (B.S.) in Biomedical Engineering (1998), Fourth Military Medical University, Xi’an, China

Professional Experience

Professor (2024–Present), Shanghai Jiao Tong University School of Medicine

Associate Professor (2017–2024), Fudan University

Research Associate (2014–2016), Vanderbilt University, under Dr. John C. Gore

Postdoctoral Fellow (2009–2014), Georgia Institute of Technology and Emory University, under Dr. Xiaoping P. Hu

Engineer/Lecturer (2007–2009), Fourth Military Medical University

Research Interests

Magnetic Resonance Imaging (MRI): Developing visualization techniques for brain microenvironments.

Deep Learning Algorithms: Creating AI-driven diagnostic tools to improve the detection and understanding of neurological diseases.

Grants

Quantitative Detection of Neuroinflammation using Hydroxyl Proton Transfer MRI
(2022–2025) | National Natural Science Foundation of China (NSFC) | Principal Investigator

Imaging Biomarkers for Alzheimer’s Disease
(2020–2021) | Fudan-Cambridge collaboration | Principal Investigator

Glioma Genotyping using CEST-NOE MRI
(2020–2023) | Shanghai Science and Technology Committee (STCSM) | Principal Investigator

Label-Free NOE MR Imaging of Choline Phospholipids
(2019–2022) | National Natural Science Foundation of China (NSFC) | Principal Investigator

Global Analysis of Brain Functional and Metabolic Networks
(2018–2022) | Subproject of Shanghai Municipal Science and Technology Major Project | Principal Investigator

Memberships

Organization for Human Brain Mapping (OHBM) (since 2022)

Institute of Electrical and Electronics Engineers (IEEE) (since 2021)

American Association for the Advancement of Science (AAAS) (since 2016)

International Society for Magnetic Resonance (ISMRM) (since 2010)

Top Notable Publications

Zhang, Xiao-Yong et al. “HiFi-Syn: Hierarchical granularity discrimination for high-fidelity synthesis of MR images with structure preservation.” Medical Image Analysis, November 2024. DOI: 10.1016/j.media.2024.103390

Zhang, Xiao-Yong et al. “Resting State Brain Networks under Inverse Agonist versus Complete Knockout of the Cannabinoid Receptor 1.” ACS Chemical Neuroscience, April 17, 2024. DOI: 10.1021/acschemneuro.3c00804

Authors. “Benchmarking spatial clustering methods with spatially resolved transcriptomics data.” Nature Methods, April 2024. DOI: 10.1038/s41592-024-02215-8

Authors. “A neural signature for the subjective experience of threat anticipation under uncertainty.” Nature Communications, February 20, 2024. DOI: 10.1038/s41467-024-45433-6

Authors. “A Convolutional Neural Network Model for Distinguishing Hemangioblastomas From Other Cerebellar-and-Brainstem Tumors Using Contrast-Enhanced MRI.” Journal of Magnetic Resonance Imaging, 2024. DOI: 10.1002/jmri.29230

Zhang, Xiao-Yong et al. “CQformer: Learning Dynamics Across Slices in Medical Image Segmentation.” IEEE Transactions on Medical Imaging, 2024. DOI: 10.1109/TMI.2024.3477555

Authors. “A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders.” Medical Image Analysis, December 2023. DOI: 10.1016/j.media.2023.102932

Authors. “Downregulation of mGluR1-mediated signaling underlying autistic-like core symptoms in Shank1 P1812L-knock-in mice.” Translational Psychiatry, October 25, 2023. DOI: 10.1038/s41398-023-02626-9

Authors. “A neural signature for the subjective experience of threat anticipation under uncertainty.” Preprint, September 22, 2023. DOI: 10.1101/2023.09.20.558716

Conclusion

Professor Xiao-Yong Zhang’s extensive research in MRI, deep learning diagnostics, and successful collaborations place him as an exemplary candidate for the Research for Best Researcher Award. His contributions to medical imaging innovation, demonstrated research leadership, and commitment to interdisciplinary collaborations reflect the award’s values and criteria.

 

 

 

 

 

Lubomir Traikov | Weak Interactions | Best Researcher Award

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Assoc. Prof. Dr. Lubomir Traikov | Weak Interactions | Best Researcher Award

Assoc. Prof. Dr Lubomir Traikov, Dept. Medical Physics and Biophysics, Faculty of Medicine, Medical University-Sofia, Bulgaria

Assoc. Prof. Dr. lubomir traikov is a faculty member in the Department of Medical Physics and Biophysics at the Medical University of Sofia, Bulgaria. His academic journey began at the University of Sofia “St. Kliment Ohridski,” where he earned his Ph.D. in Biophysics, focusing on the luminescent properties of biological membranes. Following his doctoral studies, he pursued postdoctoral research at Japan’s National Institute of Public Health, where he specialized in the microcirculation of the blood-brain barrier. His research interests encompass the biophysical impacts of magnetic fields, luminescent properties of biological systems, and dynamic system modeling in biomedical applications.

PROFILE

Google Scholar Profile

Educational Details

Ph.D. in Biophysics
University of Sofia “St. Kliment Ohridski” (2001)
Thesis: Analysis of the changes in luminescent characteristics of the thylakoid membrane by Pisum sativum L. under physical and chemical factors impact – independent and in combination.

M.Sc. in Biophysics
University of Sofia “St. Kliment Ohridski” (1995)
Thesis: Magnetic field effects on structure and function of erythrocyte membranes.
Average Grade: Very Good (5.20), State Exam: Excellent (6.00)

B.Sc. in Biophysics
University of Sofia “St. Kliment Ohridski” (1993)

Secondary Education
College of Industrial Chemistry and Biotechnology “Prof. A. Zlatarov” (1990)
Average Grade: Excellent (5.53)
Qualification: Laboratory Assistant

Professional Experience

Associate Professor
Department of Medical Physics and Biophysics, Faculty of Medicine, Medical University of Sofia, Bulgaria

Postdoctoral Training
National Institute of Public Health (NIPH), Tokyo, Japan (2002-2004)
Specialized in Blood-Brain Barrier (BBB) microcirculation research

Research Interests

Luminescent properties of biological membranes and their response to environmental stress factors

Magnetic field effects on membrane structures and biophysical processes

Signal processing, database analysis, and mathematical modeling of dynamic biological systems

Blood-brain barrier and microcirculation studies

Skills

Software Proficiency: MATLAB, OriginPro, SigmaPlot, SigmaStat, SPSS, Statistica, MS Office (Word, Access, Excel, PowerPoint, Publisher), and various internet applications.

Programming Languages: C++, MATLAB, Python

Graphic and Molecular Design: CorelDRAW, Adobe Suite, CS-ChemOffice, and molecular visualization tools (MS-Viewer, Raswin)

Top Notable Publications

“Low-temperature exothermic transitions in brain proteome of mice, effect of scopolamine”
Authors: B. Tenchov, S. Abarova, R. Koynova, L. Traikov, L. Tancheva
Journal: Thermochimica Acta, Volume 650, Pages 26-32, Year: 2017
Citations: 25

“A new approach for investigating neurodegenerative disorders in mice based on DSC”
Authors: B. Tenchov, S. Abarova, R. Koynova, L. Traikov, S. Dragomanova, et al.
Journal: Journal of Thermal Analysis and Calorimetry, Volume 127, Pages 483-486, Year: 2017
Citations: 25

“Antioxidant effect of alpha-lipoic acid in 6-hydroxydopamine unilateral intrastriatal injected rats”
Authors: P. Andreeva-Gateva, L. Traikov, Z. Sabit, D. Bakalov, et al.
Journal: Antioxidants, Volume 9, Issue 2, Article 122, Year: 2020
Citations: 21

“Effect of Tyr-MIF-1 peptides on blood ACTH and corticosterone concentration induced by three experimental models of stress”
Authors: A. Bocheva, E. Dzambazova, R. Hadjiolova, L. Traikov, R. Mincheva, et al.
Journal: Autonomic and Autacoid Pharmacology, Volume 28, Issue 4, Pages 117-123, Year: 2008
Citations: 17

“Characteristics of 2.45 GHz Surface-Wave-Sustained Argon Discharge for Bio-Medical Applications”
Authors: E. Benova, P. Marinova, R. Tafradjiiska-Hadjiolova, Z. Sabit, D. Bakalov, et al.
Journal: Applied Sciences, Volume 12, Issue 3, Article 969, Year: 2022
Citations: 14

“Subcutaneous Arteriolar Vasomotion Changes During and After ELF-EMF Exposure in Mice in Vivo”
Authors: L. Traikov, A. Ushiyama, G. Lawlor, R. Sasaki, C. Ohkubo
Journal: Environmentalist, Volume 25, Pages 93-101, Year: 2005
Citations: 10

“Static magnetic field action on some markers of inflammation in animal model system—in vivo”
Authors: L. Traikov, K. Georgiev, A. Bocheva, E. Dzambazova, M. Markov
Journal: The Environmentalist, Volume 29, Pages 225-231, Year: 2009
Citations: 9

 Conclusion

Based on his academic achievements, technical skills, research expertise, and impactful contributions to biophysics and cellular biology, Assoc. Prof. Dr. Lubomir Traikov is a suitable candidate for the Research for Best Researcher Award. His dedication to advancing knowledge in biophysics, particularly concerning membrane dynamics and environmental impacts on cellular health, positions him as an innovator and leader in his field.

 

 

 

 

 

Tawfik Chaabeni | Physics | Best Researcher Award

Published on by Physicist Particle

Mr. Tawfik Chaabeni | Physics | Best Researcher Award

Mr. Alessandro Di, Nola Università Federico II Napoli, Italy

tawfik chaabeni is a doctoral researcher and secondary school teacher with a background in materials physics and energy. Based at the Faculty of Sciences of Sfax, University of Sfax, Tunisia, he combines academic research with practical teaching experience across various educational levels. He aims to contribute to innovative solutions in energy materials while inspiring future generations through physics education.

PROFILE

Orcid Profile

Educational Details

Mr. tawfik chaabeni is currently a doctoral candidate at the Faculty of Sciences of Sfax, University of Sfax, Tunisia. He began his Ph.D. program in physics at the Faculty of Sciences of Sfax in September 2020, focusing on materials physics and energy. He holds a Master’s degree in Materials Physics and Energy from the Higher School of Science and Technology of Hammam Sousse, University of Sousse (2015). He also completed a Bachelor’s degree in General Physics from the same institution in 2013, following a high school diploma (Baccalauréat) in Mathematics from Lycée Ali Zouaoui, Kairouan, Tunisia (2010).

Professional Experience

Since 2021, Mr. chaabeni has been a secondary school teacher at Lycée La Persévérance, building on previous teaching roles at Lycée Ibn Khaldoun, Pascal School, and the Mon Excellence tutoring center. His teaching experience spans secondary education and post-secondary levels, including roles as a part-time assistant at the Higher School of Science and Technology of Hammam Sousse (2017–2019). His diverse teaching background covers core physics subjects, aimed at fostering students’ understanding and interest in the field.

Research Interests

Mr. chaabeni’s research interests are centered on materials physics and energy, with a particular focus on the development and application of new materials for energy solutions. His doctoral research explores advanced materials with potential applications in renewable energy technologies, contributing to sustainable energy development.

Top Notable Publications

Authors: Tawfik Chaabeni, et al.

Year: 2024

Title: Tunable Optical Properties and Relaxor Behavior in Ni/Ba Co-Doped NaNbO3 Ceramics: Pathways Toward Multifunctional Applications

Journal: Ceramics

Volume: 7

Issue: 4

DOI: 10.3390/ceramics7040107

ISSN: 2571-6131

Conclusion

Mr. Chaabeni demonstrates commendable achievements in education and a promising start in research. While he may not yet meet the highest qualifications of seasoned researchers for this award, his recent contributions and evolving research focus position him as an emerging researcher with potential for future awards.

 

 

 

 

Alessandro Di Nola | Neutrino Experiments | Best Researcher Award

Published on by Physicist Particle

Mr. Alessandro Di Nola | Neutrino Experiments | Best Researcher Award

Mr. Alessandro Di, Nola Università Federico II Napoli, Italy

Alessandro Di Nola, a physicist and Ph.D. candidate at Università di Napoli Federico II, specializes in front-end electronics and detector systems for high-energy physics experiments. With a Master’s degree cum laude and active involvement in international collaborations, he has contributed to the Hyper-Kamiokande and JEM-EUSO programs, with multiple publications and conference presentations to his name. His work bridges digital electronics, cosmic ray physics, and advanced detector optimization, contributing to the future of experimental physics.

PROFILE

Google Scholar Profile

Educational Details

Alessandro Di Nola is a Ph.D. candidate in Physics at Università di Napoli Federico II, Italy, with a strong background in experimental physics, particularly in detector technology and front-end electronics. His academic journey began with a Bachelor’s degree in Physics (2017-2020), followed by a Master’s degree in Physics, both from Università di Napoli Federico II. Graduating with cum laude honors, his Master’s thesis focused on characterizing the front-end electronics and detectors of the Hyper-Kamiokande experiment.

Professional Experience

Alessandro is deeply involved in high-energy particle physics experiments, collaborating with international research teams. His work emphasizes the development and quality assurance of advanced electronic components for detectors used in large-scale neutrino and cosmic ray studies. Since 2023, he has contributed to key components of the Hyper-Kamiokande experiment, handling responsibilities in the FD mPMT electronics for CERN’s WCTE experiment and serving as a key contributor for the Jennifer 3 working group.

His recent publications, including several journal articles and conference proceedings, cover advancements in cosmic ray detection and front-end electronics. Alessandro has presented his research widely, sharing his work through oral and poster presentations at international conferences, such as the IEEE Real Time Conference and the Società Italiana di Fisica.

Research Interests

Alessandro’s research interests include high-energy particle detection, cosmic ray physics, and the development of hybrid electronics systems for experimental physics. His work integrates digital filters, electronics characterization, and detector optimization, with a keen focus on the application of these technologies in large-scale experiments.

Awards and Achievements

Best Communication Award: 110° Congresso della Società Italiana di Fisica, Bologna, Italy, 2024.

Presentations: Delivered oral and poster presentations at renowned conferences, including the IEEE Real Time Conference, the Pisa Meeting on Advanced Detectors, and the Next Generation Nucleon Decay and Neutrino Experiments conference.

Working Groups

MEMPHYS (MEMristive-CMOS hybrid electronics for experimental PHYSics) experiment (2024-present)

Hyper-Kamiokande Collaboration (2023-present): Contributing to the FD mPMT electronics for Jennifer 3.

T2K International Collaboration (2024-present)

JEM-EUSO International Collaboration (2022-2023)

Skills

Languages: Fluent in English and Italian (native).

Coding: Proficient in Python, MATLAB, VHDL, Tcl, LATEX, C/C++, LabVIEW, Git, PSpice.

Web Development: Knowledgeable in HTML, CSS, JavaScript.

Miscellaneous: Skilled in academic research, training, consultation, and LATEX typesetting and publishing.

Top Notable Publications

S Abe, JH Adams Jr, D Allard, P Alldredge, L Anchordoqui, A Anzalone, …
“Developments and results in the context of the JEM-EUSO program obtained with the ESAF simulation and analysis framework,” The European Physical Journal C, 83(11), 1028, 2023.
Citation count: 10

S Abe, JH Adams, D Allard, P Alldredge, R Aloisio, L Anchordoqui, …
“EUSO-Offline: A comprehensive simulation and analysis framework,” Journal of Instrumentation, 19(01), P01007, 2024.
Citation count: 4

JH Adams Jr, D Allard, P Alldredge, L Anchordoqui, A Anzalone, M Battisti, …
“The EUSO-SPB2 fluorescence telescope for the detection of Ultra-High Energy Cosmic Rays,” Astroparticle Physics, 165, 103046, 2025.
Citation count: 1

S Abe, JH Adams Jr, D Allard, P Alldredge, R Aloisio, L Anchordoqui, …
“JEM-EUSO Collaboration contributions to the 38th International Cosmic Ray Conference,” arXiv preprint arXiv:2312.08204, 2023.

H Wistrand, T Heibges, J Posligua, C Guépin, MH Reno, TM Venters
“The Targets of Opportunity Source Catalog for the EUSO-SPB2 Mission,” arXiv preprint arXiv:2312.00920, 2023.

M Zotov, S Abe, JH Adams, D Allard, P Alldredge, R Aloisio, …
“Machine Learning for the EUSO-SPB2 Fluorescence Telescope Data Analysis,” POS Proceedings of Science, 2023.

S Abe, JH Adams, D Allard, P Alldredge, R Aloisio, L Anchordoqui, …
“The EUSO-TA ground-based detector: results and perspectives,” POS Proceedings of Science, 2023.

G Sammartino, G Pretto, S Abe, JH Adams, D Allard, P Alldredge, …
“Analysis of EAS-like events detected by the Mini-EUSO telescope,” POS Proceedings of Science, 2023.

Conclusion

In conclusion, Mr. Alessandro Di Nola is a highly qualified and deserving candidate for the Best Researcher Award. His academic credentials, innovative research, technical expertise, and contributions to international collaborations make him an ideal recipient of this prestigious award. His ongoing work with experiments like Hyper-Kamiokande and JEM-EUSO positions him as a key player in the field of particle physics, and his future contributions are anticipated to continue advancing our understanding of fundamental physics.

 

 

 

 

Swastika Chakraborty | Lunar Exosphere | Women Researcher Award

Published on by Physicist Particle

Dr. Swastika Chakraborty | Lunar Exosphere | Women Researcher Award  

Dr. Swastika Chakraborty, Narula Institute of Technology, Heard and McDonald Islands

Dr. Swastika Chakraborty is a seasoned researcher and professor specializing in atmospheric remote sensing and satellite communication. With 25 years in academia, she has made significant contributions to the study of tropical atmospheric propagation, remote hazard monitoring, and machine learning applications in climate science. Through her leadership in numerous high-impact research projects and active involvement in professional communities, Dr. Chakraborty continues to advance innovation and knowledge in remote sensing and communication sciences.

PROFILE

Google Scholar Profile

Educational Details

Dr. Swastika Chakraborty holds a Ph.D. in Atmospheric Remote Sensing, awarded by the University of Calcutta in 2015. Her doctoral research focused on tropical atmospheric phenomena, laying the groundwork for her future contributions to atmospheric and satellite communication sciences.

Professional Experience

Dr. Chakraborty is a Professor at the Narula Institute of Technology (2022–Present), where she brings 25 years of experience in Electronics and Communication Engineering. Her prior roles include Associate Professor at Sikkim Manipal Institute of Technology (2016–2022) and Assistant Professor at JIS College of Engineering (2000–2016). In these roles, she has not only advanced her teaching and research but also developed new methodologies in electronics, satellite communication, and remote sensing.

Research Interests

Dr. Chakraborty’s research spans a range of topics within atmospheric and planetary remote sensing, satellite communication, and data science. Her work includes spectrometric analysis for planetary research, remote sensing of tropical atmospheric conditions, Doppler radar analysis for climate hazard nowcasting, satellite communication propagation in tropical atmospheres, UAV-based hazard monitoring, and the use of machine learning for climate event prediction using big data.

Honors and Awards

Her expertise and contributions have been widely recognized through awards such as the JIS SAMMAN (2024), NIT Jewel (2024), and JIS INNOVATION AWARD (2024) from Narula Institute of Technology. Dr. Chakraborty has also received the Best Teacher Award (2019) from Sikkim Manipal Institute of Technology and the JIS Samman (2015) from JIS Group.

Research Projects

Deep Learning-Based Study of Iono Scintillation Using GNSS Data (2025) – investigating its effects on position accuracy over low-latitude regions.

Short-Term Forecasting of Orographic Rain for Landslide Prediction (2023) – involving Doppler radar data analysis for real-time hazard warning systems.

Sunlit Lunar Exosphere Analysis from the Chandrayaan-2 orbiter data (2022).

Study on Tropospheric Scintillation and Rain Attenuation for SATCOM links over North Eastern India, Ku/Ka Band (2019).

Glacial Lake Dynamics Monitoring in the Eastern Himalayas (2018).

Committee Memberships

Dr. Chakraborty is actively engaged in professional committees. She serves as Program Committee Member for ICCIDA 2024, Travel Committee Chair for MIGARS 2023, and has held roles as YP Chair for INGARSS in both 2021 and 2020.

Professional Memberships

She is a Senior Member of IEEE GRSS (Geoscience and Remote Sensing Society) since 2017, reflecting her commitment to staying connected with the latest advancements in her fields of expertise.

Top Notable Publications

On the association of lightning activity and projected change in climate over the Indian sub-continent
Authors: U. Saha, D. Siingh, A.K. Kamra, E. Galanaki, A. Maitra, R.P. Singh, A.K. Singh, et al.
Journal: Atmospheric Research
Volume: 183, Pages: 173-190
Year: 2017
Citations: 66

Cloud liquid water content and cloud attenuation studies with radiosonde data at a tropical location
Authors: A. Maitra, S. Chakraborty
Journal: Journal of Infrared, Millimeter, and Terahertz Waves
Volume: 30, Pages: 367-373
Year: 2009
Citations: 32

Relationship of convective precipitation with atmospheric heat flux—a regression approach over an Indian tropical location
Authors: S. Chakraborty, U. Saha, A. Maitra
Journal: Atmospheric Research
Volume: 161, Pages: 116-124
Year: 2015
Citations: 27

A comparative study of cloud liquid water content from radiosonde data at a tropical location
Authors: S. Chakraborty, A. Maitra
Journal: International Journal of Geosciences
Volume: 3 (1), Pages: 44-49
Year: 2012
Citations: 23

Radiometric measurements of cloud attenuation at a tropical location in India
Authors: S. Das, S. Chakraborty, A. Maitra
Journal: Journal of Atmospheric and Solar-Terrestrial Physics
Volume: 105, Pages: 97-100
Year: 2013
Citations: 11

Interrelation between microphysical and optical properties of cloud and rainfall in the Indian region
Authors: S. Chakraborty, A. Maitra
Fields: 92.60.jf; 92.60.nc
Year: 2013
Citations: 11

Validation of Synthetic Storm Technique for Attenuation Prediction over High Rainfall Tropical Region
Authors: S.D. Swastika Chakraborty, Pooja Verma, Bishal Paudel
Journal: IEEE Geoscience and Remote Sensing Letters
Pages: 1-4
Year: 2021
Citations: 10

Experimental studies of Ka band rain fade slope at a tropical location of India
Authors: S. Das, M. Chakraborty, S. Chakraborty, A. Shukla, R. Acharya
Journal: Advances in Space Research
Volume: 66 (7), Pages: 1551-1557
Year: 2020
Citations: 10

Conclusion