Francesk Mulita | Surgery | Best Researcher Award

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Assist. Prof. Dr. Francesk Mulita | Surgery | Best Researcher Award

University of Patras | Greece

Dr. Francesk Mulita, MD, M.Sc., Ph.D., is a distinguished General Surgeon and medical researcher at the University of Patras and the General University Hospital of Patras, recognized for his significant contributions to surgery, thyroid surgery, and colorectal cancer research. Since earning his medical degree and completing his Master’s thesis, Dr. Mulita has developed an extensive academic and research portfolio with remarkable global impact. He has authored 256 scientific documents, cited 15,887 times across 13,045 scholarly works, reflecting a strong h-index of 38 that highlights both the productivity and influence of his research. With over 402 journal publications in leading SCI and Scopus-indexed platforms, 48 completed and ongoing research projects, 11 published books with ISBNs, and 346 patents either published or in process, his contributions extend across innovation, academic advancement, and clinical practice. His work includes 14 consultancy or industry collaborations, 16 editorial appointments, and an impressive 58 research collaborations worldwide, underscoring his leadership in fostering scientific networks. Furthermore, he has participated in more than 50 multicentric studies, serving as national lead in 19, and has accumulated over 270 PubMed-indexed publications, with more than 200 where he was the corresponding author, demonstrating his sustained excellence in surgical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

COVID-19 infection is a significant risk factor for death in patients presenting with acute cholecystitis: a secondary analysis of the ChoCO-W cohort study

Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

Moderate- to High-grade Blunt Liver and Spleen Injuries Warrant Repeat Imaging to Identify Treatable Complications Results of the Radiographic Evaluation of Delayed Solid Organ Complications EAST Multicenter Trial

Damage control thoracotomy trends, techniques, and outcomes: An EAST multicenter trial

Pain intensity and prognosis of acute pancreatitis in an international, prospective study

 

Denise Cristiana Faro | Cardiology | Best Researcher Award

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Dr. Denise Cristiana Faro | Cardiology | Best Researcher Award

University of Catania | Italy

Dr. Denise Cristiana Faro is a dedicated Medical Doctor, Cardiovascular Specialist, and PhD candidate at the University of Catania, whose academic and clinical career centers on advancing the understanding and management of rare cardiomyopathies, with a primary focus on Anderson-Fabry disease and transthyretin cardiac amyloidosis. She has established herself as an emerging leader in translational cardiology by integrating advanced echocardiographic imaging, genetics, and sex-specific approaches into her research, aiming to enhance early diagnosis, risk stratification, and tailored therapeutic strategies. With 22 published documents, 366 citations across 310 documents, and an h-index of 11, her scholarly contributions reflect both depth and growing international recognition. As co-investigator and sub-investigator in numerous multicenter clinical studies and registries, she has collaborated on cutting-edge projects addressing arrhythmic risk, disease biomarkers, wearable device applications, and therapeutic outcomes in Fabry disease and cardiac amyloidosis. Beyond research, Dr. Faro contributes to academic growth through teaching, peer review for high-impact cardiovascular journals, and authorship of book chapters, including Cardioncologia by the Italian Society of Cardiology. Her active memberships in multiple working groups of the European Society of Cardiology and the Italian Society of Cardiology further highlight her role in shaping multidisciplinary and personalized approaches in cardiovascular medicine.

Profiles: Scopus | Orcid

Featured Publications

Outcome and Disease Progression in NYHA Functional Class I and II Patients With Wild-Type Transthyretin Cardiomyopathy Treated With Tafamidis

Myosin-ATPase inhibitor in real-world patients with obstructive HCM: A report by the Cardiomyopathies and Pericardial Diseases WG of the Italian Society of Cardiology

Comparison of personality and psychopathology in patients with Fabry disease and patients with end-stage renal disease: a preliminary study

Lipoprotein(a) as a Pharmacological Target: Premises, Promises, and Prospects

Assessment of Noninferiority Margins in Cardiovascular Medicine Trials

 

Ying Liu | Electronic Engineering | Best Researcher Award

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Dr. Ying Liu | Electronic Engineering | Best Researcher Award

Zhejiang University | China

Dr. Ying Liu, PhD, is an Associate Professor at the College of Information Science and Electronic Engineering, Zhejiang University, with expertise spanning statistical signal processing, artificial intelligence, and data mining. She earned her PhD in Electronic Engineering from the City University of Hong Kong, following earlier degrees from Shantou University and Dalian Maritime University. Her research career includes visiting appointments at the University of Calgary and the City University of Hong Kong, enriching her international academic collaborations. Dr. Liu has led numerous research projects supported by the National Natural Science Foundation of China and provincial funds, with a strong focus on distributed learning, graph-based signal processing, and big data analysis for complex systems such as power grids. Recognized for her contributions, she received the prestigious Natural Science Prize from the Ministry of Education of China (Second Prize) and was named a Qiushi Youth Scholar of Zhejiang University the same year. Her scholarly output includes 7 indexed publications that have collectively attracted 51 citations from 46 documents, reflecting an h-index of 4, showcasing the relevance and impact of her research in advancing intelligent information processing and distributed systems. Her ongoing projects continue to address critical challenges in privacy, security, and adaptive learning for future intelligent networks..

Profile: Scopus

Featured Publication

Adaptive synchronization of chaotic systems and its uses in cryptanalysis

Heterogeneity-Aware Personalized Federated Neural Architecture Search

Frequency-Domain Distributed Multitask Learning Over Networks

Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data

Deeply Supervised Block-Wise Neural Architecture Search

 

Yanfei Yang | Educational Psychology | Best Researcher Award

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Dr. Yanfei Yang | Educational Psychology | Best Researcher Award

Xinyang Normal University | China

Dr. Yanfei Yang, Lecturer at Xinyang Normal University, holds a Doctorate in Educational Psychology with a research focus on teacher support and student engagement among primary and secondary school students. She has completed five significant research projects and contributed six publications indexed in SSCI, reflecting her growing influence in the academic community. Her work primarily addresses the psychological and pedagogical dimensions of student engagement, offering valuable insights into how teacher support can enhance learning outcomes. With an h-index of 4, supported by 6 documents and more than 63 citations, Dr. Yang has demonstrated a consistent impact on the field of educational psychology. Her research findings not only expand the theoretical understanding of factors influencing student engagement but also provide evidence-based recommendations for effective education policies and classroom practices. While she has not yet pursued consultancy projects, patents, or book publications, her focused research trajectory positions her as a promising scholar whose contributions bridge theory and practice. By exploring the mechanisms that drive student motivation and participation, Dr. Yang’s work continues to inform educational reforms and offers practical strategies for fostering supportive teacher-student interactions that promote holistic development and academic success.

Profile: Scopus

Featured Publication

How is social and emotional competencies linked to student engagement? The mediating role of teacher-student relations, teacher-student relations, and school identification

Correction to: How is school climate linked to student engagement? The mediating role of life satisfaction, epistemic curiosity, and school identification

 

Minghe Zhang | Mobile Communication | Best Researcher Award

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Mr. Minghe Zhang | Mobile Communication | Best Researcher Award

Harbin Engineering University | China

Minghe Zhang, a master’s degree candidate and IEEE Senior Member, is actively engaged in advancing research on low-complexity signal detection algorithms for OTFS modulation in fast time-varying channels. His academic journey centers on addressing the challenges in both linear and nonlinear detection algorithms at the receiver end, with notable contributions such as the Memory Approximate Message Passing Detector for OTFS Modulation. He has published research articles in reputed journals, including one indexed in SCI and another in EI, and maintains a growing citation record with 2 completed citations and 1 in progress. His h-index currently stands at 1, reflecting his emerging impact in the research community, with 2 documents published and 3 total citations. In addition to academic outputs, Zhang has actively engaged in 3 consultancy and industry projects, showcasing his ability to apply theoretical innovations to practical applications. He also fosters collaborations, particularly with the Shanghai Institute of Satellite Engineering, where his expertise in orthogonal time frequency space, turbo detection, fast time-varying channels, and message passing algorithms contributes to both academic and industry advancements. Through innovative algorithmic design—such as utilizing conjugate gradient methods and residual-based sparse approximation—he has significantly reduced computational complexity, strengthening the performance and efficiency of OTFS systems.

Profiles: Scopus | Orcid

Featured Publication

Low complexity iterative MMSE detector for OTFS modulation

 

Shashank Singh Pawar | Marketing | Best Researcher Award

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Mr. Shashank Singh Pawar | Marketing | Best Researcher Award

Goa Institute of Management | India

Shashank Singh Pawar is a PhD candidate (FPM) in Marketing at the Goa Institute of Management, with education in Mechanical Engineering (B.E.) and Industrial Engineering & Management (M.E.). His current research focuses on Human-Computer Interaction, Anthropomorphism, and Consumer Behavior. According to Scopus profile, he has 5 in h-index, 2 in i10-index, 1 total citations, and 1 documents listed.  He has published in reputed outlets, including Computers in Human Behavior, and multiple conference proceedings addressing avatar interactions, generational differences, and the psychology of consumer-AI interactions. Also, he serves as a reviewer for the International Journal of Consumer Studies (Wiley) and for INDAM, and has attended workshops in experimental design, teaching pedagogy, and research methods. His working papers explore the role of appeals in gifting behavior and the effects of avatar realism in consumer interactions. Prior to his doctoral work, he was Assistant Professor at Chameli Devi Group of Institutions, Indore . His academic achievements include a Best Paper Runner-up award at the 9th Indian Academy of Management (INDAM) Conference, among other recognitions

Profiles: Scopus | Orcid

Featured Publications

From efficiency to immersion: understanding generational differences in avatar interactions

 

Maryam Niazi | Engineering | Best Researcher Award

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Ms. Maryam Niazi | Engineering | Best Researcher Award

Porto University | Portugal

Dr. Maryam Niazi is a Ph.D. researcher in Aerospace Engineering at the University of Porto, Portugal, specializing in hybrid composite structural batteries and multifunctional materials for aerospace, automotive, and energy storage systems. With over a decade of multidisciplinary R&D experience, she has contributed extensively to structural and materials engineering, combining experimental, analytical, and numerical approaches. Her professional background spans aerospace structures, automotive component design, and advanced composite analysis. Dr. Niazi has authored multiple high-impact publications, including articles in Composite Structures, Advances in Materials Science and Engineering, and several under review in Composites: Part A and Advanced Energy and Sustainability Research. She is also the author of the book ADAMS for Engineers (Arshadan Publisher, 2021). Her research achievements are reflected in a Scopus h-index of 2, with 7 citations across 3 indexed documents.

Profiles: Scopus | Orcid

Featured Publications

Thermo-Electro-Mechanical Characterization of Thermoset and Thermoplastic Blends for Composite Polymer Electrolytes

Multifunctionality testing of hybrid structural batteries using quasi-static indentation and charge–discharge analysis

The effect of compressive transverse stress on the mode II fracture toughness of composite joints used in structural batteries

Glass fiber-reinforced PVA/epoxy/LiTFSI/Al$_2$O$_3$ matrix as a structural electrolyte for load-bearing energy storage

Design, optimization, and characterization of hybrid composite structural batteries.

 

Abdullah Ammar Karcioglu| Computer Science | Best Review Paper Award

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Assist. Prof. Dr. Abdullah Ammar Karcioglu | Computer Science | Best Review Paper Award

Ataturk University | Turkey

Asst. Prof. Abdullah Ammar Karcıoğlu is a faculty member at Atatürk University, Erzurum, Turkey, specializing in software engineering, algorithms, bioinformatics, artificial intelligence, and natural language processing. He earned his Ph.D. in Computer Engineering from Ege University , with a dissertation focused on string matching algorithms for bioinformatics sequences. With academic experience spanning Atatürk, Ege, and Recep Tayyip Erdoğan Universities, he has contributed to research in machine learning, pattern recognition, and image processing. His publications in high-impact journals, including Computers in Biology and Medicine, Concurrency and Computation: Practice & Experience, and Lasers in Medical Science, reflect his commitment to advancing computational methods for biological data and medical applications. With over 50 citations and an h-index of 4, he has also supervised graduate theses on AI-driven sentiment analysis, disease outbreak mapping, and biomedical imaging. He actively serves as a peer reviewer for leading SCI journals and TÜBİTAK projects, further strengthening his academic impact.

Profiles: Scopus | Google Scholar

Featured Publications

Sentiment analysis of Turkish and english twitter feeds using Word2Vec model

ML-based tooth shade assessment to prevent metamerism in different clinic lights

Machine Learning-Based Tooth Color Assessment Using Color Moments to Prevent Metamerism in Different Clinical Lights

Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis

Performance evaluation of classification algorithms using hyperparameter optimization

 

Nebiye Pelin Türker | Metastasis | Best Researcher Award

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Dr. Nebiye Pelin Türker | Metastasis | Best Researcher Award

Trakya University | Turkey

Lect. Dr. Nebiye Pelin TÜRKER has demonstrated outstanding research excellence in biotechnology and cancer biology, with a strong focus on proteomics, glyco-gene expression, and anticancer therapeutics. She has contributed significantly to the scientific community through 8 SCI/SSCI publications, 8 citations, an h-index of 2 and 2 book chapters, alongside numerous national articles and conference presentations. Her work on molecular mechanisms of cancer, therapeutic potentials of natural compounds, and biomarker discovery reflects high scientific rigor and innovation. Additionally, her active role as a referee for top journals such as Cell Biochemistry and Biophysics and Discover Oncology, coupled with advanced certifications including Nature Masterclasses, underscores her leadership, expertise, and impact in her field.

Profiles: Scopus | Google Scholar

Featured Publications

In vitro hepatotoxicity evaluation of methotrexate-loaded niosome formulation: fabrication, characterization and cell culture studies

In vitro hepatotoxicity evaluation of methotrexate-loaded niosome formulation: fabrication, characterization and cell culture studies

Effect of L-Dopa on Carboplatin Induced Hepatotoxicity

Effect of quinoa plant on metastasis and ion channels of rat brain cancer glioma cell lines

Determination of biomarker candidates with proteomics approach in small cell lung cancer: NCI-H209 cell line

Li Jun-Xia | Supermolecular Cocrystal | Best Researcher Award

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Dr. LiJun-Xia | Supermolecular Cocrystal | Best Researcher Award 

Luoyang Normal University | China

Dr. Jun-Xia Li received her M.Sc. degree in Inorganic Chemistry from the College of Chemistry and Chemical Engineering, Guangxi Normal University, in 2007, followed by a Ph.D. in Inorganic Chemistry from the Department of Chemistry, Nankai University, in 2010. She subsequently joined the College of Chemistry and Chemical Engineering at Luoyang Normal University, where she serves as a faculty member. Her research primarily focuses on the design and development of optical and magnetic materials based on metal complexes and supramolecular compounds. With 75 publications, over 1,400 citations, and an h-index of 19, Dr. Li has made significant contributions to coordination chemistry, crystal engineering, and functional material design. Her recent works explore novel cobalt, copper, and zinc complexes, emphasizing structural analyses, non-covalent interactions, and material performance enhancement for applications in energy storage and advanced functional devices.

Profiles: Scopus| Orcid

Featured Publications

Synthesis, structure and fluorescence of a novel zinc(II) polymer based on N-[(3-pyridine)-3-sulfonyl]-threonine

Unveiling morphology evolution and performance enhancement of tin-doped Co3O4 porous nanoarrays anchored on stainless-steel mesh for advanced lithium-ion battery anodes

One-pot cocrystallization of mononuclear and 1D cobalt(II) complexes based on flexible triclopyr and 2,2′-bipyridine coligands: Structural analyses, conformation comparison, non-covalent interactions and magnetic properties

A new copper(II) complex containing triclopyr: One-pot crystallization, structure, conformation and Hirshfeld surface analyses

One-pot cocrystallization of 1D linear and zigzag cobalt(II) polymers assembled by triclopyr and 4,4′-bipyridine: Structural comparison, conformational analysis, non-covalent interactions as well as the magnetic property of the latter