Minzhao Lin | DNA nanomachines, smart hydrogels, ultrasound-responsive systems, tumor diagnostics | Best Researcher Award

Dr. Minzhao Lin | DNA nanomachines, smart hydrogels, ultrasound-responsive systems, tumor diagnostics | Best Researcher Award

Dezhou University, China

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Early Academic Pursuits

Dr. Minzhao Lin embarked on his academic journey with a robust foundation in Biology and Medicine, earning his Ph.D. from the prestigious Sun Yat-sen University. His early interest in nanomedicine and molecular systems set the stage for a research trajectory deeply rooted in interdisciplinary innovation. During his doctoral years, he delved into biosensors and DNA nanotechnology, gaining the technical acumen and experimental rigor that would later define his contributions to biomedical engineering and diagnostics.

Professional Endeavors

Currently serving as a Lecturer at Dezhou University’s Institute of Rural Revitalization, Dr. Lin leads a dynamic research group focused on fusing DNA nanotechnology with smart drug delivery and biosensing platforms. His position allows him to mentor young scientists while pushing forward impactful projects that address real-world healthcare and environmental challenges. Despite a primarily academic focus, Dr. Lin maintains strong collaborative ties with institutions like the University of Pittsburgh and Sun Yat-sen University, reflecting his global academic presence.

Contributions and Research Focus

Dr. Lin's research revolves around DNA nanomachines, smart hydrogels, and ultrasound-responsive platforms, with applications in tumor diagnostics and pathogen detection. A hallmark of his work is the development of a sustainable, regenerating DNA motor system that combines magnetic separation for multi-use diagnostics. This innovation drastically reduces assay costs while enabling ultrasensitive detection of viral RNA and pesticide residues—achieving detection at the femtomolar level. His ability to integrate nanotechnology into applicable diagnostic systems places him at the forefront of translational biomedical innovation.

Impact and Influence

With over 525 citations and an h-index of 13 on Google Scholar, Dr. Lin’s publications have reached an international audience and inspired parallel research in biosensor development and molecular diagnostics. His work has been featured in high-impact journals and is frequently cited by researchers working on next-generation biosensors, indicating both academic excellence and societal relevance. His research is also particularly timely given global concerns about infectious diseases, food safety, and environmental toxins.

Academic Citations & Publications

Dr. Lin has authored numerous SCI and Scopus-indexed journal articles, establishing a strong academic footprint in the field of nanobiotechnology. Though he has not published any books, his scientific articles and patents (8 total, with 5 published and 3 under review) showcase a prolific output of peer-reviewed and innovation-based work. His ORCID profile 0000-0001-9697-3656 offers comprehensive access to his academic contributions.

Technical Skills

Dr. Lin is proficient in a suite of modern molecular tools, including DNA origami, hydrogel synthesis, nanomaterial fabrication, molecular diagnostics, and magnetic nanoparticle systems. His interdisciplinary training enables him to lead projects from conceptual design to prototype validation. This skill set is crucial in developing multifunctional biosensors for field and clinical use.

Teaching Experience

As a lecturer, Dr. Lin not only conducts high-impact research but also actively mentors undergraduate and postgraduate students in biomedical and molecular engineering. He integrates research insights into his teaching, cultivating a new generation of researchers equipped to tackle complex problems in diagnostics and therapeutics.

Legacy and Future Contributions

Dr. Minzhao Lin’s innovative spirit is reflected in his vision to make smart, sustainable diagnostics accessible across healthcare and environmental sectors. His pioneering DNA motor technology represents a shift toward affordable, reusable biosensors, which could dramatically improve diagnostic access in rural and underdeveloped regions. Looking forward, Dr. Lin aims to expand his research into clinical applications of nanomaterials and AI-integrated biosensing platforms, positioning himself as a long-term contributor to global health innovation.

Selected Publications

  • **Lin M**, Rui Wang, et al.
    Magnetic Multipedal DNA Walking Nanomachine Driven by Catalytic Hairpin Assembly
    Analytical Chemistry, 2023.
    Describes a magnetic DNA‑walking nanomachine enabling enhanced signal amplification and easy magnetic separation for rapid miRNA analysis site.convention.co.jp+4pubs.acs.org+4researchgate.net+4researchgate.net.

  • **Lin M**, Rui Wang, et al.
    Self‑Feedback DNAzyme Motor for Cascade‑Amplified Imaging of mRNA in Live Cells and In Vivo
    (Journal), 2024 (approx.).
    Focuses on multi‑component DNA nanomachines with catalytic activity for fluorescent imaging of mRNA in live cell and in vivo contexts researchgate.net.

  • Chengyu Yan, Yulin Hua, Jiarong Guo, Peng Miao, Lin M, Rui Wang, et al.
    Programmable DNA Hydrogels Construction with Functional Regulations for Biosensing Applications
    Trends in Analytical Chemistry, Feb 2024.
    Introduces programmable DNA hydrogels regulated for biosensing purposes, showcasing innovative DNA‑based responsive materials researchgate.net+1pmc.ncbi.nlm.nih.gov+1.

  • (Haohao Chen, Min Yuan, Fengqin Yin, Fei Xu; Lin M listed co-author on related research)
    Freezing‑Driven Assembly of DNA Walking Machine Facilitates G₄ Nanowires Growth for Electrochemical Detection of Kanamycin
    (Journal), Mar 2025.
    Demonstrates a DNA walking system creating G₄ nanowires for electrochemical pesticide detection

 

 

 

Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

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Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.


 Dr. Yi -Feng  Ren | Oral Microbiology | Best Researcher Award

 Dr. Yi -Feng  Ren | Oral Microbiology | Best Researcher Award

Hospital of Chengdu University of Traditional Chinese Medicine,China

Yi-Feng Ren is a dedicated medical professional specializing in oncology and clinical medicine. With a robust educational background, including a Master’s degree from Henan University and academic exchange experience at Tokyo University, he is passionate about advancing cancer research and treatment methodologies.

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Scopus 

Education 🎓

Yi-Feng Ren completed his Bachelor’s degree in Clinical Medicine at Chongqing Medical University in June 2017. He then pursued a Master’s degree in Clinical Medicine at Henan University, graduating in June 2020. He further enriched his academic experience with an exchange program at the Department of Medicine, Tokyo University, Japan, from July to September 2019. Currently, he is advancing his studies at Chengdu University of TCM in Oncology.

Experience 🏥

Ren has extensive experience in clinical and translational research, focusing on lung cancer and microbiota interactions. His contributions to the field include roles as a medical practitioner and researcher, alongside active participation in editorial boards of esteemed medical journals.

Research Interests 🔬

Role of Oral Microbiota: Investigating its impact on lung cancer prediction.

Tumor Metastasis Mechanisms: Understanding the biological processes involved in tumor spread.

Patient-Derived Organoids: Exploring clinical applications of organoids for personalized cancer treatment.

Innovative Diagnostics: Developing new approaches for cancer diagnostics.

Therapeutics Development: Advancing treatment methodologies in oncology.

Awards 🏆

Yi-Feng Ren has received various accolades for his contributions to medical research and practice, recognizing his commitment to improving patient care and advancing medical knowledge.

Selected Publications 📚

CXCL9+TAMs and TREM2+TAMs are involved in the invasion and metastasis of ground-glass and part-solid nodules in lung adenocarcinoma. Mol Cancer, 2024.

Oral microbiota as a biomarker for predicting the risk of malignancy in indeterminate pulmonary nodules: a prospective multicenter study. Int J Surg, 2025.

Mechanisms underlying the effects, and clinical applications, of oral microbiota in lung cancer: current challenges and prospects. Crit Rev Microbiol, 2023.

Patient-derived organoids of lung cancer based on organoids-on-a-chip: enhancing clinical and translational applications. Front Bioeng Biotechnol, 2023.

Saliva-microbiome-derived signatures: Expected to become a potential biomarker for pulmonary nodules (MCEPN-1). BMC Microbiol, 2024

 

Prof. Dan Meng | Engineering | Best Researcher Award

Prof. Dan Meng | Engineering | Best Researcher Award

Qingdao Agricultural University, China.

Dan Meng is a Professor at Qingdao Agricultural University, specializing in cement-based composite materials. As a Master's supervisor and a council member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, his research focuses on the multi-scale performance of cement and geopolymer-based materials and their functionalized applications. With over 60 academic publications, 30+ patents, and several awards, he has made significant contributions to civil engineering and material science.

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🎓 Education

Prof. Dan Meng is currently a Visiting Scholar at Western Sydney University. With a strong academic and professional background in civil engineering, he has made significant contributions to the field, particularly in structural engineering and construction materials. As a dedicated member of the Chinese Society for Civil Engineering, Prof. Meng actively participates in research collaborations, technical discussions, and knowledge exchange initiatives aimed at advancing the discipline. His expertise and commitment to innovation continue to influence both academia and industry, fostering sustainable and resilient infrastructure development.

💼 Experience

Professor Dan Meng is a distinguished faculty member at Qingdao Agricultural University, where he plays a pivotal role in advancing civil engineering education and research. As a Council Member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, he actively contributes to the development of engineering standards and best practices. With a strong research portfolio, he has successfully led 17 completed and ongoing research projects, addressing critical challenges in civil engineering. Additionally, his expertise extends to industry and consultancy, where he has been involved in 12 impactful projects, bridging the gap between academia and practical engineering solutions.

🔬 Research Interests

Cement-Based Composite Materials 🏗️

Geopolymer-Based Materials 🔬

Multi-Scale Performance of Construction Materials 📏

Functionalized Applications of Cementitious Materials

🏆 Awards & Achievements

🏅 Second Prize – Science & Technology Progress (Department & Bureau Level)

🏅 Second Prize – Humanities & Social Sciences (Shandong Provincial University Level)

🏅 Second Prize – Social Sciences (Qingdao Level)

📚 Publications

Experimental and Molecular Dynamics Simulation Study on Sulfate Corrosion Resistance of Cellulose-Nanocrystal-Modified ECC

Authors: L. Yu, X. Xu, S. Ni, X. Meng, B. Xu

Journal: Applied Sciences (Switzerland), 2025

Focus: Investigates sulfate corrosion resistance in engineered cementitious composites (ECC) modified with cellulose nanocrystals using experimental and molecular dynamics simulations.

Citations: 0

Study on Improving the Performance of Engineered Cement-Based Composites by Modifying Binder System and Polyethylene Fiber/Matrix Interface

Authors: Q. Fan, Y. Zheng, D. Meng, Y. Liu, H. Wu

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2025

Focus: Enhances ECC performance through binder system modification and fiber/matrix interface improvements.

Citations: 1

 

 

Dr. Riccardo Narducci | Energy | Best Researcher Award

Dr. Riccardo Narducci | Energy | Best Researcher Award

Tor vergata university, Italy.

Riccardo Narducci is an Italian researcher currently holding a fixed-term research position (RTDb) at the Department of Industrial Engineering, University of Rome Tor Vergata. He obtained his National Scientific Qualification as Associate Professor in Chemical Foundations of Technologies (CHEM-06/A) on January 13, 2020. His research focuses on advanced materials for energy applications, particularly ion-conducting membranes for fuel cells.

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🎓 Education:

Dr. Riccardo Narducci holds a Ph.D. in Chemical Sciences and Sciences des Matériaux, earned in 2014 through a double degree program between the University of Rome Tor Vergata and Aix-Marseille Université. His dissertation, titled "Ion Conducting Membranes for Fuel Cells," was awarded Cum Laude under the supervision of Prof. M.L. Di Vona and Prof. Philippe Knauth. Prior to his doctorate, he completed a Master’s degree in Chemistry at the University of Perugia in 2004, specializing in Inorganic and Material Chemistry, with a final grade of 108/110. His thesis focused on the "Effect of Acceptor-Donor Pair Adsorption on Surface Conductivity of Non-Stoichiometric Oxides." Dr. Narducci's academic journey began with a Technical Diploma in Industrial Chemistry from I.T.I.S. "L. Allievi" in Terni, where he graduated with the highest distinction (60/60) in 1998.

💼 Professional Experience:

Dr. Riccardo Narducci is currently a Researcher (RTDb) (2022-2025) at the University of Rome Tor Vergata, Department of Industrial Engineering, where he is an active member of several research grant selection committees and a participant in the 2024 PACE project.

Previously, he served as a Research Fellow (2017-2022) at the same university, contributing to the HORIZON 2020 CREATE project focused on energy and hydrogen production. From 2016 to 2017, he was a Postdoctoral Fellow under the VINCI Grant, working on functionalized polymers for next-generation redox flow batteries.

Between 2010 and 2017, Dr. Narducci held the position of Research Associate, collaborating on various European and industrial projects, including LoLiPEM, MAESTRO, and HVAC systems research. In addition to his research activities, he has also served as a Contract Professor at the University of Rome Tor Vergata, Faculty of Engineering.

🔬 Research Interests:

Energy Materials: Ion-conducting membranes for fuel cells and hydrogen production.

Polymeric and Composite Materials: Functionalized polymers and nanostructured materials.

Electrochemical Devices: Redox flow batteries and electrochemical energy conversion.

Environmental Technologies: Sustainable heating, ventilation, and air conditioning (HVAC) systems.

🏆 Awards & Grants:

National Scientific Qualification for Associate Professor (2020).

VINCI Grant (2016) – Université Franco Italienne for postdoctoral research.

Several European Research Grants (FP7, HORIZON 2020).

Research funding from the University of Rome Tor Vergata.

📚 Selected Publications:

One-Component Catalytic Electrodes from Metal–Organic Frameworks Covalently Linked to an Anion Exchange Ionomer
Molecules (2025-03-10) 
DOI: 10.3390/molecules30061230
Contributors: Riccardo Narducci, Emanuela Sgreccia, Alessio Vincenzo Montella, Gianfranco Ercolani, Saulius Kaciulis, Suanto Syahputra, Emily Bloch, Luca Pasquini, Philippe Knauth, Maria Luisa Di Vona

Composite Membranes Based on Polyvinyl Alcohol and Lamellar Solids for Water Decontamination
New Journal of Chemistry (2024) 
DOI: 10.1039/D3NJ04942F
Contributors: Maria Bastianini, Michele Sisani, Eziz Naryyev, Annarita Petracci, Irene Di Guida, Riccardo Narducci

Composite Anion Exchange Membranes Containing a Long-Side Chain Ionomer and Exfoliated Lamellar Double Hydroxides
Membranes (2024-12-20)
DOI: 10.3390/membranes14120275
Contributors: Riccardo Narducci, Suanto Syahputra, Maria Luisa Di Vona, Philippe Knauth, Luca Pasquini

Porous Polymers Based on PSU and PSU-TMA with Grafted Zirconium-Organic Moieties: Synthesis and Application for Removal of Arsenite and Arsenate Water Pollutants
Preprint (2024-11-20)
DOI: 10.20944/preprints202411.1539.v1
Contributors: Alessio Vincenzo Montella, Maria Bastianini, Michele Sisani, Emanuela Sgreccia, Maria Luisa Di Vona, Riccardo Narducci

Polyvinyl Alcohol Coatings Containing Lamellar Solids with Antimicrobial Activity
Physchem (2024-08-01) 
DOI: 10.3390/physchem4030019
Contributors: Maria Bastianini, Michele Sisani, Raúl Escudero García, Irene Di Guida, Carla Russo, Donatella Pietrella, Riccardo Narducci

 

 

Ms. Claudia Elijas-Parra | Structural Geology | Best Researcher Award

Ms. Claudia Elijas-Parra | Structural Geology | Best Researcher Award

University of Edinburgh, United Kingdom.

Claudia Elijas-Parra is a PhD student in Geophysics at the University of Edinburgh, specializing in the rheology of dense unsteady granular flows with shear gradients. Her research focuses on understanding granular temperature and the contact network in complex flows, particularly in pyroclastic density currents, to refine large-scale volcanic hazard models. With expertise in high-performance computing and numerical modeling, she contributes to advancing our knowledge of volcanic processes and geophysical flows.

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🎓 Education

Claudia Elijas-Parra is a PhD candidate in Geophysics at the University of Edinburgh, researching pyroclastic density currents using numerical modeling and high-performance computing. She holds a First-Class Honours MEarthPhys from the same university, with work on geomechanical risk and geophysical flow modeling. She completed her secondary education at Institut Pons D’Icart, Spain, with a 9.7/10 grade and spent an exchange year in London.

💼 Experience

Claudia Elijas-Parra is a PhD candidate in Geophysics at the University of Edinburgh, specializing in numerical modeling of pyroclastic density currents. She holds a First-Class Honours MEarthPhys and has experience as a Tutor & Demonstrator in mathematics, programming, volcanology, and seismology. Previously, she worked as a Research Assistant on catastrophic rock failure and interned to improve hybrid learning strategies. She completed her secondary education in Spain with a 9.7/10 grade and spent an exchange year in London.

🔬 Research Interests

🌋 Granular Flow Rheology – Understanding the dynamics of unsteady shear flows in pyroclastic density currents
💻 High-Performance ComputingNumerical simulations using MFIX-DEM, ParaView, COMSOL Multiphysics
🌍 Volcanic Hazard Assessment – Improving the boundary conditions of large-scale volcanic models
🧱 Rock Mechanics & Failure – Investigating microcrack evolution in deforming porous rocks

🏆 Awards & Grants

🏅 Overseas Research Visit & Conference Fund – E4DTP (2023) (Cities on Volcanoes 12, Guatemala)
🏅 12th SAGES Small Grant – SAGES (2023) (Cities on Volcanoes 12, Guatemala)
🏅 Small EPS Grant – University of Edinburgh (2023) (Cities on Volcanoes 12, Guatemala)
🏅 Certificate of Achievement – University of Edinburgh (2023) (Top Student in Earth Science Masters)
🏅 Small EPS Grant – University of Edinburgh (2022) (Summer Research Internship)

📚 Publication & Conferences

📄 Elijas-Parra et al. (2025). Controls on shear band orientation in deforming porous rocks: insights from improved microcrack segmentation method. 🔗 DOI: 10.1016/j.jsg.2025.105404

🎤 Tectonic Studies Group (TSG) Annual Meeting (Burlington House, London, 2022)

Quantifying crack network evolution during failure of a porous rock

🎤 Cities on Volcanoes 12 (CoV12) (Antigua, Guatemala, 2022)

Basal flow rheology of pyroclastic density currents: Implications for large-scale modeling in volcanic hazard assessment

 

 

 

Assist. Prof. Dr. Sílvia Faria | Marketing | Best Researcher Award

Assist. Prof. Dr. Sílvia Faria | Marketing | Best Researcher Award

Universidade Portucalense, Portugal.

Sílvia Maria Pereira da Silva Faria is a distinguished Portuguese academic and researcher specializing in Marketing and Business Sciences. With extensive experience in higher education and research, she has contributed significantly to consumer behavior, digital marketing, and brand loyalty. She is currently a Professor at Universidade Portucalense (UPT) and an Adjunct Professor at ISCAP – Instituto Superior de Contabilidade e Administração do Porto. Her research and publications have had a substantial impact on marketing strategies and consumer decision-making processes.

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🎓 Education

Sílvia Faria holds a Ph.D. in Economic Sciences (2012) from Universidad Rey Juan Carlos (URJC), Spain, where she focused on consumer behavior in retail selection, analyzing key determinants influencing purchasing decisions in the Portuguese market. She earned a Master’s in Business Management (Marketing Specialization) (2002) from Universidade do Minho, Portugal, with research on brand loyalty among young consumers in the telecommunications sector. She also holds a Bachelor’s in Business Sciences (1999) from ISCET – Instituto Superior de Ciências Empresariais e do Turismo, which provided a strong foundation in business administration, finance, and marketing. In 2015, she obtained the Specialist Title in Marketing and Communication from ISCAP/ISCAC/IPAM, a professional recognition awarded in Portugal for expertise and significant contributions in the field of marketing and strategic communication.

👩‍🏫 Experience

Sílvia Faria has over 20 years of academic and research experience in Marketing and Business Sciences, specializing in consumer behavior, brand loyalty, and strategic marketing. Since 2018, she has been a Professor at Universidade Portucalense (UPT) and an Adjunct Professor at ISCAP – Instituto Superior de Contabilidade e Administração do Porto, where she teaches courses in marketing, business strategy, and market analysis. Her extensive teaching career includes previous roles at Universidade Lusíada, Universidade de Aveiro, Universidade Lusófona, Instituto Superior de Administração e Marketing (IPAM), and Instituto Superior da Maia (ISMAI). Throughout her career, she has contributed significantly to academic research, curriculum development, and mentorship, helping shape future professionals in marketing and business.

🔬 Research Interests

Consumer Behavior & Decision-Making

Brand Loyalty & Customer Experience

Digital Marketing & Artificial Intelligence in Marketing

Retail Management & Marketing Strategy

Innovation & Creativity in Business

🏆 Awards & Recognitions

Recognized Specialist in Marketing and Communication (2015) by ISCAP, ISCAC & IPAM

Awarded Laude by Unanimity for Ph.D. at URJC, Madrid

📚 Selected Publications

📖 Book Chapters & Journal Articles

Tavares, V., Pereira, M.S. & Faria, S. (2024). The Relevance and Pertinence of Creativity and Innovation in the Design of Creative Processes. Springer Series in Design and Innovation, 49, 50-64. 🔗 DOI: 10.1007/978-3-031-73705-3_4

Batista, B., Vale, V. & Faria, S. (2024). Covid-19 Pandemic, Digital Transformation, and Consumer Experience: Factors Influencing Satisfaction and Loyalty in Food Retail – The Portuguese Market. IGI Global. 🔗 DOI: 10.4018/978-1-6684-9146-1.ch001

Sousa Pereira, M., Faria, S., Cardoso, A. & Cairrão, A. (2023). Personal Leadership and Communication Abilities: Impacts on Organizational Performance. IntechOpen. 🔗 DOI: 10.5772/intechopen.1002647

Sousa Pereira, M., Faria, S., Cardoso, A., Sabino, E., Fonseca, J. & Soler, R. (2023). The Influence of Instagram on Consumer Behavior and Home Décor Purchases in Brazil. Springer, Smart Innovation, Systems, and Technologies, 337. 🔗 DOI: 10.1007/978-981-19-9099-1_49

Carvalho, J., Faria, S. & Oliveira, D. (2023). Artificial Intelligence Effectiveness in Customer Experience. IGI Global. 🔗 DOI: 10.4018/978-1-6684-8574-3.ch009

 

 

 

Dr. Leonardo Di Giustino | Quantum Chromodynamics  | Best Researcher Award

Dr. Leonardo Di Giustino | Quantum Chromodynamics  | Best Researcher Award

University of Insubria, Italy.

Leonardo Di Giustino is an Italian theoretical physicist specializing in Quantum Chromodynamics (QCD) and condensed matter physics. With two Ph.D. degrees in physics, his research spans from renormalization scale-setting in QCD to electron states in metal interfaces. He has held research positions at institutions such as the University of Insubria, Max Planck Institute, and SLAC National Accelerator Laboratory. In addition to his academic career, he has extensive experience as a high school teacher in mathematics and physics.

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Education🎓

Dr. Leonardo Di Giustino holds two Ph.D. degrees in physics, demonstrating his deep expertise in both theoretical and computational physics. He earned his Ph.D. in Physics (2022, cum laude) from the University of Insubria, Italy, with a thesis titled "The Renormalization Scale-Setting Problem in QCD," focusing on fundamental issues in quantum chromodynamics. Earlier, he completed his first Ph.D. in Physics (2005) at the University of Modena and Reggio Emilia, Italy, where his research, "Ab initio study of NiO-Fe interfaces: electron states and magnetic configurations," explored the electronic and magnetic properties of materials at the atomic level. His academic journey began with an M.Sc. in Physics (2001) from the University of Rome "La Sapienza," where he investigated "Semileptonic Inclusive Decays of Heavy Flavors." In addition to his research credentials, he holds High School Teaching Qualifications from the University of Modena and the University of Parma, equipping him with the expertise to educate and inspire future generations in mathematics and physics.

Experience🏢

Dr. Leonardo Di Giustino is a dedicated researcher with extensive experience in theoretical physics, particularly in quantum chromodynamics (QCD) and renormalization scale-setting methods. From 2022 to 2024, he served as a Postdoctoral Researcher at the University of Insubria, Italy, where he contributed to advancements in high-energy physics. His research journey includes international collaborations, such as his role as a Visiting Scientist at SLAC National Accelerator Laboratory, USA (2011, 2018–2019), where he worked alongside leading physicists on cutting-edge particle physics projects. Additionally, he was a Fellowship Researcher at the Max Planck Institute for Physics, Germany (2012–2013), further strengthening his expertise in theoretical physics. Earlier in his career, he was a Research Fellow at the University of Parma, Italy (2006–2007), contributing to fundamental studies in physics. Alongside his research activities, Dr. Di Giustino has been committed to education, serving as a Mathematics and Physics teacher since 2007, inspiring and mentoring students in scientific disciplines. His diverse experience highlights his dedication to both academic research and science education.

Research Interests🔬

Quantum Chromodynamics (QCD)

Renormalization and Regularization Methods in QCD

Collider Physics and Precision Calculations

Condensed Matter Physics & Magnetic Interfaces

Awards & Fellowships🏆

Angelo Della Riccia Foundation Fellowship (2011)

Max Planck Institute Fellowship (2012-2013)

Postdoctoral Fellowship, University of Insubria (2022-2024)

Selected Publications📚

1.Detailed Comparison of Renormalization Scale-Setting Procedures Based on the Principle of Maximum Conformality

Journal: Nuclear Physics B

Publication Date: April 2023

Contributors: Xu-Dong Huang, Jiang Yan, Hong-Hao Ma, Leonardo Di Giustino, Jian-Ming Shen, Xing-Gang Wu, Stanley J. Brodsky

Key Insights:

Compares various renormalization scale-setting methods.

Demonstrates the advantages of the Principle of Maximum Conformality (PMC) in eliminating scheme and scale ambiguities in QCD calculations.

2. Elimination of QCD Renormalization Scale and Scheme Ambiguities

Journal: Universe

Publication Date: April 2023

Contributors: Sheng-Quan Wang, Stanley Brodsky, Xing-Gang Wu, Jian-Ming Shen, Leonardo Di Giustino

Key Insights:

Focuses on how PMC removes renormalization ambiguities and improves QCD predictions.

Discusses applications of PMC in high-energy physics.

3. Elimination of QCD Renormalization Scale and Scheme Ambiguities (Preprint)

Publication Date: February 16, 2023

Contributors: Leonardo Di Giustino

Key Insights:

Early version of the Universe journal article.

Highlights the challenges in conventional renormalization procedures and how PMC provides a systematic solution.

4. The Renormalization Scale-Setting Problem in QCD (Ph.D. Thesis)

Publication Date: May 25, 2022

Contributors: Leonardo Di Giustino

Key Insights:

A comprehensive analysis of renormalization scale-setting methods in QCD.

Discusses theoretical foundations and applications of PMC.

5. Thrust Distribution for 3-Jet Production from e⁺e⁻ Annihilation within the QCD Conformal Window and in QED

Journal: Physics Letters B

Publication Date: December 2021

Contributors: Leonardo Di Giustino, Francesco Sannino, Sheng-Quan Wang, Xing-Gang Wu

Key Insights:

Applies PMC to 3-jet production in QCD and QED.

Examines the thrust distribution and its implications for high-energy physics.

 

 

 

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

University of Padua, Italy.

Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova, Italy. She earned her PhD in History from Cambridge University (2005) and has held prestigious research fellowships, including the Wiener-Anspach and Francqui Postdoctoral Fellowship at the Université Libre de Bruxelles and the Lise Meitner Senior Postdoc at the Medical University of Vienna. She has been a Senior Visiting Research Associate at Oxford University and a Guest Professor in Rome, among other international appointments. Feola's research explores intelligence, martyrdom, and religious networks in early modern Europe, particularly in the context of Anglo-Spanish relations and Elizabethan England.

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🎓 Education

Assoc. Prof. Dr. Vittoria Feola holds a PhD in History from Cambridge University (2005) and has been recognized for her academic excellence through the Cambridge European Trust Award (2000-2003). Her research has been supported by prestigious institutions, including the British Federation of Women Graduates and the Cambridge European Trust, reflecting her significant contributions to historical scholarship.

🏛 Experience

Assoc. Prof. Dr. Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova (2015–Present). She has also held prestigious academic positions, including Senior Visiting Research Associate at Oxford University (2014–2017) and Lektorin in Early Modern History of Medicine at the Medical University of Vienna. Additionally, she has served as a Guest Professor at the Pontifical University St. Thomas in Rome and has been a Visiting Fellow at leading institutions such as Yale, Stanford, Toronto, and Cambridge, underscoring her extensive international research collaborations and expertise in early modern history.

🔬 Research Interests

Religious Intelligence and Martyrdom in Anglo-Spanish Relations (1550-1598)

Early Modern Universities and Scientific Networks

Alchemy, Medicine, and Religion in Early Modern England and Europe

Circulation of Knowledge and Printing Networks in the 16th-18th centuries

🏆 Awards & Honors

2023 Erasmus+ Grant, Teaching Stay at the University of Granada

2023 Book Publication Grant for Martyrdom, Intelligence, and National Identity in Anglo-Spanish Relations, 1550-1598

2022 MINI SID Seed Funding for “Spies or Heretics?” Project

2015 Gerda Henkel Co-Funding Grant for the Bartolomeo Gamba Project

2014 Vienna City Council Prize for organizing Scientiae Vienna 2014

2002 British Federation of Women Graduates Research Award

📚 Notable Publications

📄 Feola, V. (2025). The uses of martyrdom works in Philip II's Spain and among Elizabethan English Catholics. Religion and Politics (forthcoming).


📄 Feola, V. (2025). Jesuit intelligence about Elizabethan England. Society and Politics (forthcoming).


📄 Feola, V. (2024). Autobiografia, cattolicesimo e sovranità: il caso di Elias Ashmole (1617-1692). Civiltà e Religioni, 10, 73-101.


📄 Feola, V. (2021). Alchemy, medicine, and religion in Elias Ashmole’s Theatrum Chemicum Britannicum. Civiltà e Religioni, VII, 87-122.


📄 Feola, V. (2019). Talismans as automata: Jacques Gaffarel’s Curiositez and the mechanisation of nature in 17th-century France. Society and Politics, 13(2), 61-86.


📄 Feola, V. (2019). Early Modern Violence and Religion. The Sixteenth Century Journal, 50.

Ms. Danai Tsakiri | Extractive Metallurgy | Best Researcher Award

Ms. Danai Tsakiri | Extractive Metallurgy | Best Researcher Award

National Technical University of Athens, Greece.

Danai Tsakiri is a dedicated researcher specializing in Metallurgy and Materials Science, with a strong academic background and extensive experience in raw materials research. She has made significant contributions to the study of acid-activated clays, lithium extraction, and sustainable industrial materials. Currently, she serves as a Research Assistant at the National Technical University of Athens (NTUA), actively participating in multiple European and national research projects.

Profile

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🎓 Education

Ms. Danai Tsakiri is a Ph.D. candidate in Metallurgy and Materials Science at the National Technical University of Athens (NTUA), Greece. She holds an M.Sc. in Science and Technology of Materials from NTUA (2010–2012), where she graduated with honors, achieving a grade of 8.69/10.0. Additionally, she earned a Diploma in Mining and Metallurgical Engineering from NTUA (2005–2010) with an outstanding grade of 9.08/10.0. Throughout her academic journey, Ms. Tsakiri has demonstrated excellence in her field, contributing to research and advancements in metallurgy and materials science.

🛠️ Professional Experience

Ms. Danai Tsakiri has extensive experience in metallurgy and materials science research. Since 2014, she has been a Research Assistant at the Laboratory of Metallurgy at NTUA, where she conducts laboratory experiments, analyzes research data, and contributes to scientific publications. She has been actively involved in multiple European-funded projects, including LEEMA, NANO-HVAC, ECO-BINDER, DIANA, and BATTERFLAI. Prior to this, she worked as a Junior Industrial Rocks & Minerals Researcher at S&B Group (2013–2014), focusing on the investigation of industrial mineral properties. Her experience also includes an internship at the Hellenic Research Centre for Metals S.A. (ELKEME) in 2009, where she conducted laboratory analyses on metallurgical samples.

🔬 Research Interests

Metallurgy & Materials Science – Acid activation, structure-property relationships.

Raw Materials & Circular Economy – Sustainable mineral processing.

Battery Materials & Lithium Extraction – Alternative methods for Li recovery.

Nanotechnology in Insulation & Construction – Low-carbon material development.

🏆 Awards & Honors

Technical Chamber of Greece Award for academic excellence.

NTUA High Performance Recognition during studies.

📚 Notable Publications

Li Extraction from a-Spodumene Concentrate via Carbonizing Calcination
Materials Proceedings (December 2023) 
Contributors: Katerina Maliachova, Nikolaos Doukas, Danai Tsakiri, Michail Samouhos, Lefkothea Sakellariou, Iliana Douni, Maria Taxiarchou, Ioannis Paspaliaris
Source: Multidisciplinary Digital Publishing Institute

Structural and Surface Modification of Oxalic-Acid-Activated Bentonites in Various Acid Concentrations for Bleaching Earth Synthesis—A Comparative Study
Minerals (June 2022)
Contributors: Danai Tsakiri, Iliana Douni, Maria Taxiarchou