Zbigniew Pędzich | Best Researcher Award | statistical methods

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Zbigniew Pędzich | Best Researcher Award - Award Winner 2023

Prof Zbigniew Pędzich : statistical methods

Congratulations to Prof. Zbigniew Pędzich for receiving the prestigious Best Researcher Award at the International Research Data Analysis Excellence Awards! Prof. Pędzich's exceptional work in statistical methods has not only earned him this esteemed recognition but also highlights his commitment to advancing research and data analysis in the international academic community. His innovative contributions have undoubtedly left a lasting impact on the field, showcasing excellence in research data analysis. Well-deserved accolades for a distinguished researcher!

Professional Profiles:

Early Academic Pursuits:

Zbigniew Pędzich was born in Krakow in 1963 and began his academic journey at the AGH University of Science and Technology. He pursued studies at the Faculty of Electronic, Automatic and Electrotechnic from 1982 to 1985. Subsequently, he continued his education at the Faculty of Materials Science and Ceramics, earning his M.Sc. in 1989.

Professional Endeavors:

Since 1995, Pędzich has been an integral part of AGH University, initially as an assistant and later as an assistant professor. His commitment to advancing knowledge in his field led him to achieve a Ph.D. in 1996, focusing on "Particulate composites in the system: tetragonal zirconia polycrystals – tungsten carbide," which earned him distinction. Over the years, he steadily progressed in his academic career, culminating in the title of Titular Professor in March 2020.

Contributions and Research Focus:

Zbigniew Pędzich has made significant contributions to the field of materials science and ceramics. His research has primarily centered on ceramic matrix composites for structural applications, refractories, and ceramifiable composites with polymer matrices. His Ph.D. thesis reflects his early dedication to advancing knowledge in the synthesis and properties of particulate composites.

Throughout his academic career, Pędzich has authored more than 200 publications, with 120 indexed on the Journal Citation Reports (JCR) list. Additionally, he holds over 20 patents related to the manufacturing and properties of structural ceramic materials and composites.

Accolades and Recognition:

Pędzich's outstanding contributions to the field have earned him numerous accolades and recognition. In 2013, he was honored as an ECerS Fellow by the European Ceramic Society (ECerS), highlighting his exemplary contributions to the ceramic community. In 2016, the Polish Ministry for Science and Higher Education awarded him the Medal of the National Commission for Education.

His dedication to the advancement of ceramics is further underscored by his role as the President of the Polish Ceramic Society since 2009. Additionally, he serves as a Polish Officer in the Council of the International Ceramic Federation (ICF) and is a member of the Permanent Executive Committee of the European Ceramic Society (ECerS) Council.

Impact and Influence:

Zbigniew Pędzich's influence extends beyond national borders, as evidenced by his involvement in international ceramic organizations. His leadership roles in ECerS and ICF demonstrate his commitment to fostering collaboration and advancing the field globally.

Legacy and Future Contributions:

As an Academician of the World Academy of Ceramic since 2023, Pędzich's legacy is firmly established in the global ceramics community. Looking ahead, his role as the Head of the Scientific Discipline of Chemical Engineering and the Department of Ceramics and Refractory Materials at AGH University positions him to continue shaping the future of materials science and ceramics. His ongoing research endeavors and leadership roles suggest a sustained commitment to advancing knowledge and fostering innovation in the field.

Notable Publications:

Citations:

A total of  1,022 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Citations by : 1,022

h-index         : 19

 

Shital Saha | Best Researcher Award | Statistical Methods

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Shital Saha | Best Researcher Award Winner 2023  🏆

Mr Shital Saha : Statistical Methods

Congratulations to Mr. Shital Saha, recipient of the Statistical Methods Best Researcher Award at the International Research Data Analysis Excellence Awards! Your dedication to advancing statistical methods is truly commendable, and this recognition is a testament to your outstanding contributions. Well done!

Professional profile:

Early Academic Pursuits:

I embarked on my academic journey in Patiram High School, West Bengal, excelling in subjects like Bengali, English, Mathematics, Physics, Chemistry, History, and Geography. This laid the foundation for my future educational endeavors.

In 2013, I pursued a Bachelor's degree from Balurghat College, specializing in Mathematics (Hons.), Physics, and Chemistry. Subsequently, I obtained a Master's degree in Mathematics from the University of Gour Banga in 2015, showcasing my commitment to the field.

Professional Endeavors:

Driven by a passion for education, I earned a B.Ed. degree in 2017 from the University of Gour Banga, specializing in Mathematics. This equipped me with the skills needed to contribute meaningfully to the field of education.

Currently, I am pursuing a Ph.D. in Statistics with a focus on Statistical Information Theory at the National Institute of Technology Rourkela, under the guidance of Prof. Suchandan Kayal.

Contributions and Research Focus:

My research, centered on Statistical Information Theory, explores diverse aspects. Notable publications include works on extended fractional cumulative past, paired φ-entropy measures, and weighted varentropy. Furthermore, my ongoing studies delve into informational characteristics of cubic transmuted distributions and general weighted information generating functions.

As a referee for Contemporary Mathematics, I actively engage in the scholarly community, contributing to the peer-review process.

Accolades and Recognition:

My academic achievements include qualifying JAM-2013 (AIR-658), CSIR-UGC NET (JRF) Dec. 2019 (AIR-221), and WBSET-2020. Additionally, I successfully cleared CTET (Paper I & II) in December 2019.

Impact and Influence:

My research, as evidenced by published and under-review papers, contributes valuable insights to the fields of physics and applied mathematics. Attendance at workshops and seminars underscores my commitment to staying abreast of emerging trends in statistical research.

Legacy and Future Contributions:

I am dedicated to leaving a lasting impact through my contributions to academia. My ongoing Ph.D. research and engagement as a referee indicate a commitment to the advancement of statistical knowledge.

In the future, I aspire to further enrich the field through continued research, teaching, and collaboration with peers and scholars globally. My legacy aims to inspire future generations in the pursuit of knowledge and excellence.

Notable publication :

Citations:

A total of  83 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Zhi Liu | Best Researcher Award | Machine Learning Applications

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 Zhi Liu | Best Researcher Award  Winner 2023  🏆

Dr Zhi Liu : Machine Learning Applications

🏆 Congratulations to Dr. Zhi Liu!

 International Research Data Analysis Excellence Awards Best Researcher Award Winner Recognizing Dr. Liu's outstanding contributions in Machine Learning Applications. Your dedication to research excellence has set a benchmark for the global scientific community. Well-deserved honor!

Professional profile:

Early Academic Pursuits

Liu Z started his academic journey with a focus on computer software and theory at Northeast Normal University, where he pursued a master's degree in Computer Software and Theory from September 2014 to January 2017. During this period, his research interests included recommendation systems, artificial intelligence, machine learning, and natural language processing.

Professional Endeavors

Subsequently, he advanced his academic pursuits by obtaining a Ph.D. in Mechanical Manufacturing and Automation from the University of the Chinese Academy of Sciences (2017-2022). His doctoral research concentrated on artificial intelligence, machine teaching, knowledge graphs, natural language processing (NLP), natural language understanding (NLU), machine reading comprehension (MRC), and knowledge modeling.

Research Focus

The core of Liu Z's doctoral research was the development of machine teaching methods for human-machine collaboration. His dissertation focused on leveraging natural language processing (NLP) techniques in the medical domain to explore how AI models could be taught through interactive human-machine methods. The goal was to enhance learning efficiency by incorporating existing knowledge systems and incorporating correction mechanisms into the learning process.

Contributions and Research Output

Liu Z has made significant contributions to the field, as evidenced by his research outcomes and publications. Notably, he co-authored a paper titled "AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation" and secured a patent for a method analyzing symptom-drug relationships using new artificial intelligence technology.

His work extended to Chinese traditional medicine, with a paper on "TCMNER and PubMed: A Novel Chinese Character-Level-Based Model and a Dataset for TCM Named Entity Recognition." In addition, Liu Z contributed to the field of event extraction with a paper on structural dependency self-attention-based hierarchical event models.

Recognition and Impact

Liu Z's contributions have not gone unnoticed, as he received funding from the 71st batch of the China Postdoctoral Science Foundation. His work in the medical domain, specifically on the generation of traditional herbal medicine prescriptions, was acknowledged in a transfer learning model published in the journal "Artificial Intelligence in Medicine."

Future Contributions and Legacy

Transitioning to a postdoctoral role at Zhejiang Lab, Liu Z continued his research in natural language processing, understanding, and knowledge graphs. His accomplishments include the development of large models tailored to specific vertical domains, such as finance and traditional Chinese medicine. His work in numerical reasoning and a transfer learning-based dual-augmentation strategy for rare disease syndrome differentiation in traditional Chinese medicine showcases his commitment to advancing the field.

Liu Z's legacy extends beyond academic achievements, with patents, conference papers, and impactful research contributing to the broader landscape of artificial intelligence, natural language processing, and medical applications. His efforts are likely to leave a lasting mark on the integration of AI into medical practices and knowledge systems.

Notable publication :

Dragana Rakasevic | Data Analysis | Women Researcher Award

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Dragana Rakasevic | Women Researcher  Award Winner 2023  🏆

Dr Dragana Rakasevic : Data Analysis

Congratulations to Dr. Dragana Rakasevic on winning the Women Researcher Award at the International Research Data Analysis Excellence Awards! Your exceptional contributions to the field shine brightly, and this recognition is well-deserved. Wishing you continued success in your impactful research journey!

Professional profile:

Early Academic Pursuits:

Dr. Dragana Rakasevic embarked on her academic journey by graduating from the Faculty of Dentistry at the University of Belgrade, Serbia, in 2011. Her commitment to continuous learning is evident in her high school education at "Gymnasium Ivo Lola Ribar" and her attendance at the High Music School "Petar Krancevic," both in Sremska Mitrovica.

Professional Endeavors:

With a specialization in Periodontology, Implantology, and Oral Medicine from the Faculty of Dental Medicine, University of Belgrade (2015-2018), Dr. Rakasevic has since been actively engaged in research, education, and clinical practice. Her roles include Research Associate at the Faculty of Dental Medicine, University of Belgrade, Serbia, and Visiting Researcher at the Faculty of Dentistry in Santiago de Compostela, Spain. She also served as a Research Assistant in a significant project on periodontal and periimplantitis mechanisms funded by the Ministry of Education, Science, and Technological Development, Government of the Republic of Serbia.

Contributions and Research Focus:

Dr. Rakasevic has made substantial contributions to her field, culminating in her defended Ph.D. thesis titled "Evaluation of Photodynamic Therapy in the Treatment of Peri-Implantitis" in September 2017. Her research primarily revolves around understanding and addressing contemporary systemic diseases related to periodontal and periimplantitis.

Accolades and Recognition:

Acknowledging her expertise, Dr. Rakasevic was awarded the prestigious ITI Scholarship, allowing her to further her research and specialization in Madrid and Santiago de Compostela, Spain, in 2022-2023.

Impact and Influence:

With a diverse skill set ranging from clinical expertise to research proficiency, Dr. Rakasevic's influence extends to her roles as a Consulting Doctor in private dental offices, contributing to patient care and education. Her active involvement in international research collaborations, such as the ITI Scholarship, showcases her commitment to advancing dentistry globally.

Legacy and Future Contributions:

Dr. Dragana Rakasevic's legacy is characterized by her dedication to improving dental care through research, education, and clinical practice. Her future contributions are likely to encompass continued advancements in periodontology, implantology, and oral medicine, further solidifying her position as a respected professional in the field.

Notable Publication:

Reliability of conventional shade guides in teeth color determination
Association of Functional Polymorphisms in Matrix Metalloproteinase-9 and Glutathione S-Transferase T1 Genes with Temporomandibular Disorders
Staining and aging-dependent changes in color of CAD-CAM materials
Comparison of the Accuracy of Optical Impression Systems in Three Different Clinical Situations
Technical complication of a zirconia multiple-unit FDP supported by titanium base abutments - case report on a bonding failure and treatment alternative