Esra Cengiz-Yanardag | CAD-CAM materials | Best Researcher Award

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 Prof. Esra Cengiz-Yanardag| CAD-CAM materials |Best Researcher Award

 Prof.  Esra Cengiz-YanardagMersin University,Turkey.

Prof. Dr. Esra Cengiz-Yanardağ is a distinguished academic at Mersin University in Turkey, specializing in Restorative Dentistry. She holds a DDS and PhD, and currently serves as a professor in the Department of Restorative Dentistry at Mersin University’s Faculty of Dentistry.Her research interests encompass dental materials, composite resins, restorative and aesthetic dentistry, clinical dentistry, dental caries, veneers, teeth whitening, dental education, and adhesion.Prof. Cengiz-Yanardağ has an extensive publication record, with 40 publications and 814 citations, reflecting her significant contributions to the field.

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Education :

Professor Esra Cengiz Yanardağ completed her Bachelor’s degree in Dentistry from Ankara University, Faculty of Dentistry in 2006. She then pursued her Doctoral studies in Restorative Dentistry at Near East University, where she defended her thesis in 2012, focusing on the effects of saliva contamination on micro-shear bond strength in composite resins applied with different adhesive systems.

Experience :

With a strong background in restorative dentistry, Prof. Yanardağ has held various academic positions. She began as a Research Assistant at Near East University in 2007 and later became a Lecturer (PhD) in 2012. She was promoted to Assistant Professor in 2013 and continued in that role until 2016. In the same year, she joined Mersin University, Faculty of Dentistry, as an Assistant Professor, where she was later promoted to Associate Professor in 2017 and ultimately to Professor in 2022 in the Department of Restorative Dentistry.

In addition to her academic contributions, she has also taken on administrative roles, serving as Vice Dean of the Faculty of Dentistry at Mersin University (2016, 2019), a Faculty Board Member (2017), and the Bologna Coordinator for the faculty (2017).

Research Focus :

Prof. Yanardağ’s research primarily revolves around adhesive dentistry, composite resin materials, bleaching agents, and restorative techniques. Her studies explore the effects of different materials and treatment techniques on dental restorations, as well as the development of advanced restorative materials. She has been actively involved in research projects on bulk-fill composites, CAD/CAM materials, self-healing hybrid dental fillings, and diagnostic methods for early-stage caries detection.

Awards:

Young Researcher Award, Near East University, 2016 NEU Research Award, Near East University, 2010

Publication :

Clinical evaluation of Er, Cr: YSGG and GaAlAs laser therapy for treating dentine hypersensitivity: A randomized controlled clinical trial

Long-term effect of diode laser irradiation compared to sodium fluoride varnish in the treatment of dentine hypersensitivity in periodontal maintenance patients: a randomized …

Effectiveness of Er, Cr: YSGG laser on dentine hypersensitivity: a controlled clinical trial

The effect of surface treatments on the mechanical and optical behaviors of CAD/CAM restorative materials

Use of mineral trioxide aggregate in the treatment of invasive cervical resorption: a case report

The effect of home-bleaching application on the color and translucency of five resin composites

Efficacy of erbium, chromium-doped: yttrium, scandium, gallium, and garnet laser irradiation combined with resin-based tricalcium silicate and calcium hydroxide on direct pulp 

 Conclusion

Prof. Esra Cengiz Yanardağ is an exceptional researcher in restorative dentistry, with a strong academic background, impactful research, and leadership in funded projects. Her contributions to dental material innovation, adhesive bonding research, and mentorship make her a highly suitable candidate for the Best Researcher Award.

With further emphasis on international research collaborations, industry partnerships, and high-impact publications, she can further solidify her standing as a leading researcher in the field.

 

Haruto Nishida | Medicine| Best Researcher Award

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Assoc. Prof. Dr.Haruto Nishida| Medicine |Best Researcher Award

Assoc. Prof. Dr. Haruto Nishida  Faculty of MedicineOita University,Japan.

Dr. Haruto Nishida is an Associate Professor in the Department of Diagnostic Pathology at the Faculty of Medicine, Oita University, Japan. He earned his medical degree from Oita University School of Medicine and subsequently obtained a Ph.D. in Diagnostic Pathology from Oita University Graduate School of Medicine.Dr. Nishida began his academic career at Oita University as an Assistant Professor in 2012 and was promoted to Lecturer in 2019.As a general pathologist, he specializes in diagnosing a wide range of organs, including the skin, stomach, lungs, uterine cervix, and brain. He has a particular interest in dermatopathology and regularly presents his research at international conferences such as the American Society of Dermatopathology (ASDP) and the United States and Canadian Academy of Pathology (USCAP)

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Education :

Dr. Haruto Nishida obtained his Medical Degree from the Faculty of Medicine, Oita University, Japan, in 2009. He later pursued a Doctor of Philosophy (PhD) at the Graduate School of Medicine, Oita University, completing his doctoral studies in 2015.

Experience :

Dr. Nishida has an extensive background in diagnostic pathology and has held various academic and clinical positions:Resident in General Medicine, Oita Medical Hospital, Yufu, Japan (2009–2011)Fellow in Diagnostic Pathology, Oita University, Japan (2011–2012)Assistant Professor, Department of Diagnostic Pathology, Oita University (2012–2019)Lecturer, Department of Diagnostic Pathology, Oita University (2019–2020)Associate Professor, Department of Diagnostic Pathology, Oita University (2020–Present)Clinical Fellow, various international institutions including Centre Léon Bérard, France; St John’s Institute of Dermatology, UK; Universitätsklinikum Münster, Germany; and Medical University of South Carolina, USA (2024–Present)

Research Focus :

Dr. Nishida’s research interests include:Dermatopathology and Molecular PathologySoft Tissue and Bone TumorsCytopathology and Autopsy PathologyMolecular Mechanisms in Skin and Gynecologic PathologiesDiagnostic and Digital Pathology InnovationsHis research has contributed significantly to understanding various pathological conditions, including rare tumors and molecular alterations in dermatological diseases.

 

Awards:

Dr. Nishida has been recognized for his contributions to pathology, including:Outstanding Researcher Award by the Japanese Society of PathologyBest Paper Award for his contributions to dermatopathology researchAcademic Excellence Award from Oita UniversityYoung Investigator Award in Molecular Pathology

Publication :

A multicenter study on TROP2 as a potential targeted therapy for extramammary Paget disease in Japan

The relationship between tumor immunity and the cGAS–STING pathway in breast cancer: An immunohistochemical study

 Conclusion

Dr. Nishida is highly suitable for the award, particularly in the field of diagnostic pathology and molecular pathology. If the award criteria prioritize international recognition, impact factor, and leadership, he stands as a strong contender but could further improve his research influence globally

 

Maddalena Dozzo | Volcanology| Best Researcher Award

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Dr.Maddalena Dozzo | Volcanology|Best Researcher Award

Dr Maddalena Dozzo Istituto Nazionale di Geofisica e Vulcanologia – Osservatorio Etneo,Italy.

Dr. Maddalena Dozzo is a researcher at the Istituto Nazionale di Geofisica e Vulcanologia – Osservatorio Etneo (INGV-OE), Italy, specializing in satellite analysis of volcanic plumes through Artificial Intelligence. She is currently pursuing her PhD at Università degli Studi di Palermo, focusing on volcanic deposit mapping and remote sensing techniques. Her research integrates machine learning, geospatial analysis, and satellite imagery to enhance volcanic monitoring and hazard assessment. Dr. Dozzo has contributed to multiple scientific publications and international conferences, advancing the field of computational volcanology and Earth observation.

Publication Profile

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Education :

PhD in Satellite Analysis of Volcanic Plumes through Artificial IntelligenceIstituto Nazionale di Geofisica e Vulcanologia – Osservatorio Etneo (Catania, Italy)Università degli Studi di Palermo – Dipartimento di Scienze della Terra e del Mare (DiSTeM) (Palermo, Italy)Tutors: Gaetana Ganci (INGV-OE), Alessandro Aiuppa (DiSTeM, Palermo)(2023 – Present)Master’s Degree in Geological Sciences and TechnologiesAlma Mater Studiorum – Università di Bologna, School of ScienceThesis: Mapping of Etna’s volcanic deposits through the use of satellite techniquesSupervisors: Federico Lucchi, Gaetana Ganci, Simona ScolloFinal Grade: 110/110 Cum LaudeBachelor’s Degree in Geological SciencesAlma Mater Studiorum – Università di Bologna, School of ScienceThesis: Lithological and sedimentological characteristics of the Brown Tuffs pyroclastic deposits (Aeolian Islands)Supervisors: Federico Lucchi, Roberto Sulpizio

Experience :

PhD Student (November 2023 – Present)Research on volcanic plume analysis using AI and satellite imagery at INGV-OE and Università di Palermo.Internship – SO2 Fluxes Measurements from S5P-TROPOMI Imagery (October 2024 – January 2025)Max Planck Institute for Chemistry (Mainz, Germany).Occasional Professional Services – Volcanic Tephra Mapping (September 2023 – December 2023)Project at INGV-OE involving multispectral satellite data processing.Cartographer – Network Planning on QGIS (April 2023 – October 2023)Laboratori Guglielmo Marconi, Bologna, Italy.Internship – Mapping of Etna’s Volcanic Deposits (September 2022 – October 2022)INGV-OE, Catania, Italy.Internship – Mapping of Marine Sediments through Geophysical Analysis (May 2022 – May 2022)Consiglio Nazionale delle Ricerche, Bologna, Italy.Internship – Laboratory Analysis of Marine Sediments (October 2019 – December 2019)Consiglio Nazionale delle Ricerche, Bologna, Italy.

Research Focus :

Application of Artificial Intelligence in satellite-based volcanic plume monitoring.Remote sensing techniques for mapping volcanic deposits.Volcanic SO2 flux quantification using Sentinel-5P TROPOMI and Google Earth Engine.Computational volcanology and geophysical analysis of marine and terrestrial environments.

 

Awards:

Final Grade of 110/110 Cum Laude in Master’s Degree.Recognition for contributions to volcanic deposit mapping using PlanetScope imagery.Multiple oral presentations at international conferences such as EGU, IEEE IGARSS, and GNGTS.

Language Proficiency:

English: B2 (Listening, Reading, Writing, Speaking) – Cambridge University Europe Level B2 Certification (2020).French: B1 (Listening, Reading, Writing, Speaking).

 

Publication :

A New Algorithm for the Global-Scale Quantification of Volcanic SO2 Exploiting the Sentinel-5P TROPOMI and Google Earth Engine

Exploiting satellite techniques for volcanic deposits mapping: the case of 2021 Mt. Etna eruptions

Volcanic activity classification trough Self-Supervised Learning applied to satellite radiance time series

Exploiting PlanetScope Imagery for Volcanic Deposits Mapping
 Conclusion

Given her innovative research contributions, publication impact, and technical expertise, Maddalena Dozzo is highly suitable for the Best Researcher Award in Volcanology. Strengthening her leadership in research projects and increasing field-based studies could further solidify her position as a leading volcanologist.

 

Yueqi Sun | Economy| Best Researcher Award

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Dr.Yueqi Sun | economy|Best Researcher Award

Dr Yueqi Sun Macau University of Science and Technology,Macau.

Dr. Yueqi Sun is affiliated with the Faculty of Management and Administration at the Macau University of Science and Technology (MUST). His research interests include renewable energy, innovation, and management. In August 2024, he co-authored a publication titled “The impacts of ESG policy on clean technology innovation: a gateway to promote renewable energy transition,” which examines the relationship between corporate Environmental, Social, and Governance (ESG) practices and advancements in clean technology

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Education :

PhD in Management, Applied Economics
Macau University of Science and Technology, Macau (Sept. 2023 – Present)M. Ec. (Master in World Economics)
Xiamen University, Fujian, China (Sept. 2016 – Jun. 2019)GPA: 3.75/4.0 (Ranked 1st among 19 students)Research Focus: Macroeconomics, Labor Economics, Ocean Economics of East AsiaHonors: State Scholarship, Excellent Graduate, Literature and Art AwardBachelor of Accounting
Lanzhou University, China (Sept. 2012 – Jun. 2016)GPA: 4.44/5.0Honors: Outstanding Student Scholarship, National Social Science Competition PrizeStudent Exchange Program in Accounting
Soochow University, Taiwan (Sept. 2014 – Feb. 2015)Courses: Financial Marketing, Investment, Auditing, International Trade and Finance

Experience :

Teaching Affairs & Foreign Secretary (July 2019 – July 2023)
College of Energy, Xiamen University, China

Managed national first-class professional applications for energy-related disciplinesOrganized academic programs, thesis management, and teaching evaluationsFacilitated international collaboration between universities

Research Focus :

Green Sustainable Transformation & Industrial IntelligenceESG Policy & Clean Technology InnovationOcean Economy & ASEAN Labor MobilityIndustrial Robot Penetration & Energy Transition

 

Awards:

State Scholarship for Academic ExcellenceExcellent Graduate Award – Xiamen UniversityLiterature and Art Award – Xiamen UniversityNational Social Science Competition Prize

Skills:

Data Analysis & Economic ResearchFinancial Risk AssessmentAcademic & Administrative ManagementInternational Collaboration & Policy Analysis.

Publication :

Blessing or Curse? The Impact of the Penetration of Industrial Robots on Green Sustainable Transformation in Chinese High-Energy-Consuming Industries (Energies, 2025)

The Impacts of ESG Policy on Clean Technology Innovation: A Gateway to Promote Renewable Energy Transition (Clean Technologies and Environmental Policy, 2024)

Labor Mobility and Its Impact in the ASEAN Region (Southeast Asia Regional Development Report, 2020)

The Current Situation, Policy Measures, and Enlightenment of Marine Economy Development in South Korea (Asia-Pacific Economics, 2018)

Conclusion

Yueqi Sun has an exceptional research profile in economics, sustainability, and industrial transformation. His work on industrial intelligence, green transformation, and economic risk assessment makes him a strong contender for the Best Researcher Award.

To further solidify his position, he could focus on expanding international collaborations, publishing in higher-impact journals, and engaging in applied research projects. Given his strong academic and research achievements, he is highly suitable for the award.

Saba Inam | machine learning | Women Researcher Award

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Dr.Saba Inam |machine learning| Women Researcher Award

Dr Saba InamFatima Jinnah women university, The Mall, Rawalpindi, Pakistan.

Dr. Saba Inam is a lecturer in the Department of Mathematical Sciences at Fatima Jinnah Women University in Rawalpindi, Pakistan. She earned her PhD in Algebraic Cryptography from the Capital University of Science and Technology, completing her studies between February 2014 and January 2019. Her research interests include Algebraic Number Theory, Algebraic Cryptography, Applied Cryptography, image encryption, Cloud Computing, Machine Learning, and Deep Learning. Dr. Inam has contributed to over 20 publications, accumulating 247 citations, and her work has garnered more than 3,367 reads. Notably, she co-authored the article “An efficient image encryption algorithm using 3D-cyclic Chebyshev map and elliptic curve,” published in November 2024.

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Education :

Dr. Saba Inam holds a PhD in Mathematics from Capital University of Science and Technology (CUST), Islamabad (2019). She completed her MS in Mathematics from COMSATS Institute of Information Technology, Islamabad, in 2007 with a CGPA of 3.6/4, achieving 1st Division. She earned her M.Sc. in Mathematics from Quaid-i-Azam University, Islamabad (2005), and her B.Sc. in Mathematics (Maths A, Maths B, Stats) from the University of the Punjab (2003), both with 1st Division.

Experience :

Dr. Inam has extensive academic and research experience. Since September 2007, she has been serving as a Lecturer in Mathematics at Fatima Jinnah Women University, Rawalpindi. She also held the position of Incharge, Department of Mathematical Sciences from August 2016 to January 2018. Before that, she worked as a Research Associate at COMSATS Institute of Information Technology, Islamabad, from March to August 2007.

Research Focus :

Dr. Inam’s research interests span across multiple domains, including:

Cryptography & Security: Algebraic Cryptography, Cryptology, CryptanalysisAI & Data Security: Image Encryption, Blockchain, IoT, Deep Learning, Machine LearningMathematical Sciences: Fluid Mechanics, Geometric Function Theory.

 

Awards:

Dr. Inam’s academic excellence has been recognized through various awards and honors:

Scholarship – Capital University of Science and Technology (CUST), Islamabad (2013-2018)Dean’s Roll of Honor – Received twice during PhD courseworkDiploma in Academic Excellence in Discrete Mathematics – Abdul Salam School of Mathematical Sciences, GC University, Lahore (2012)Scholarship – COMSATS Institute of Information Technology, Islamabad (2005-2007)

Skills:

Dr. Inam possesses expertise in:Programming & Computational Tools: Matlab, Python, Mathematica, APCoCoA, Scientific Workplace, LaTeXOffice & Documentation: Proficient in Microsoft Office Suite,Dr. Saba Inam continues to contribute significantly to the fields of cryptography, image encryption, and mathematical security frameworks, with a strong focus on deep learning and blockchain applications.

Publication :

 

Three dimensional boundary layer flow of a viscoelastic nanofluid with Soret and Dufour effects

Numerical simulation of Darcy–Forchheimer 3D unsteady nanofluid flow comprising carbon nanotubes with Cattaneo–Christov heat flux and velocity and thermal slip conditions

An effective color image encryption based on Henon map, tent chaotic map, and orthogonal matrices

A new ElGamal-like cryptosystem based on matrices over groupring

Analytic study of a novel color image encryption method based on the chaos system and color codes

Blockchain based medical image encryption using Arnold’s cat map in a cloud environment

A numerical study of rotating Bödewadt flow of micropolar fluid over porous disk

A Novel Public Key Cryptosystem and Digital Signatures

A new method of image encryption using advanced encryption Standard (AES) for network security

Research on color image encryption approach based on chaotic Duffing map

Conclusion

Dr. Inam’s strengths, including her academic excellence, research impact, and leadership in academia, position her as a strong candidate for the “Research for Women Researcher Award.” While there are areas to enhance collaboration and public outreach, her work is already shaping critical developments in data security and encryption. Recognizing her would not only celebrate her achievements but also inspire more women to pursue careers in research and technology, contributing significantly to both academic and societal progress.

Vyacheslav Klyukhin | Magnetostatics| Best Researcher Award

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Dr.VyacheslavKlyukhin|Magnetostatis| Best Researcher Award

Dr Vyacheslav Klyukhin CERN, Switzerland.

Dr. Vyacheslav Klyukhin is a Senior Scientific Researcher at the Skobeltsyn Institute for Nuclear Physics, Moscow State University, and a key member of the CMS experiment at CERN, Switzerland. With over 50 years of experience in experimental physics, he has made significant contributions to the modeling and measurement of magnetic fields, particularly for the world’s largest superconducting solenoid used in the CMS detector. His expertise in 3D modeling and field measurements has been integral to the precise simulation and reconstruction of particle physics events. Dr. Klyukhin has published over 1300 scientific papers and is renowned for his work in magnetic systems for high-energy physics experiments.

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Education :

Dr. Vyacheslav Klyukhin has over 50 years of experience in experimental physics and computing. He has made significant contributions to numerous scientific endeavors, especially within the realm of particle physics and magnetic field measurement. His work has largely been within the CERN, Dubna (Russia), and Moscow State University systems, but has also extended to international collaborations such as Fermilab, CEA/Saclay, and several other prestigious institutions.

Experience :

Senior Scientific Researcher at Skobeltsyn Institute for Nuclear Physics (Moscow State University, Russia) (since August 10, 2002): Dr. Klyukhin has worked extensively on the CMS experiment at CERN, specifically focusing on modeling and measuring magnetic fields for the CMS magnet and the world’s largest superconducting solenoid.Project Associate, CERN (from November 1, 2002 to October 31, 2007): He was part of the CMS experiment, contributing to the development of the TOSCA 3D model of the CMS magnet and performing field measurements within the superconducting coil.Guest Scientist at Fermilab (1999-2002): He contributed to the design and R&D for the CMS magnetic system, providing important software tools for field simulations and measurements.Senior Scientific Researcher at the Institute for High Energy Physics (IHEP), Protvino, Moscow, Russia (1974-2000): Dr. Klyukhin began his career here, working on particle physics experiments and the design of magnetic systems.

Research Focus :

Dr. Klyukhin’s primary research focus is on the development and refinement of magnetic field models for particle detectors, particularly in the context of large-scale superconducting solenoids. His work on the CMS experiment has led to the creation of highly accurate models for the magnetic field, used to support event reconstruction and precision measurements in high-energy particle physics. His contributions are pivotal to understanding and monitoring the magnetic field behavior in particle detectors, essential for experiments like those conducted at CERN.

CMS Magnet Modeling and Simulation: Dr. Klyukhin developed the CMS magnet TOSCA model, which matches measured magnetic field data with precision, ensuring the reliability of particle momentum measurements for Higgs boson decays.Magnetic Field Measurement: He has conducted extensive magnetic field mapping, including 33,840 measurement points within the CMS magnet, using cutting-edge technologies such as 3D Hall probes.Development of Field Mapping Systems: Dr. Klyukhin was instrumental in creating the CMS fieldmapping machine and the flux loop measurement systems used in monitoring the CMS magnet.

Awards:

Dr. Vyacheslav Klyukhin has been recognized for his outstanding contributions to experimental physics, particularly in the area of particle detector technology and magnetic field measurements. His work has earned him a Hirsch index of 100 in the Web of Science system, underscoring his substantial impact on the field through his publications.

Additionally, his participation in groundbreaking experiments such as the CMS and D0 projects, and his leadership in magnetic field modeling and measurement at CERN, has made him a key figure in the scientific community.

Skills:

3D Modeling & Simulation: Dr. Klyukhin has extensive experience using TOSCA to model complex magnetic systems, specifically for CMS at CERN, and has also created simulation tools for other particle detectors such as D0.Magnetic Field Measurement: He has developed and used systems to measure magnetic flux density using Hall probes, NMR probes, and flux loops with an impressive precision.Superconducting Magnet Systems: Dr. Klyukhin’s work involves a deep understanding of superconducting solenoids and their application in experimental setups such as the CMS experiment.Scientific Computing: Extensive background in computational physics, especially in the field of particle detector simulations and event reconstruction.

Publication :

Dr. Klyukhin has published more than 1325 scientific papers in refereed journals, reflecting his longstanding commitment to advancing the field of experimental particle physics. His research spans various topics within detector systems, magnetic field modeling, and event reconstruction, with significant contributions to the understanding of the CMS magnetic system and its applications in high-energy physics experiments.

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

The CMS experiment at the CERN LHC

Conclusion

Dr. Vyacheslav Klyukhin is a distinguished researcher and scientist with a career spanning over five decades in experimental physics. His work in the field of magnetic systems for particle detectors, particularly in relation to the CMS experiment at CERN, has made substantial contributions to the understanding of magnetic fields in high-energy physics. His expertise in computational modeling, field measurement systems, and his leadership in international research projects have established him as a key figure in his field.