Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen, Hohai University, China

Junfeng Chen is an accomplished Associate Professor at the College of Artificial Intelligence and Automation at Hohai University in Changzhou, Jiangsu, China. She holds a Ph.D. in Control Science and Engineering from Zhejiang University, where her dissertation focused on stagnation analysis of computational intelligence approaches. Chen also completed her M.Sc. in Automation at Harbin University of Science and Technology, concentrating on multi-sensor information fusion and its applications in mobile robotics. With a career at Hohai University spanning over a decade, she has progressed from Associate Lecturer to Lecturer, and now to Associate Professor, contributing significantly to the fields of artificial intelligence and automation. Her research interests encompass various aspects of computational intelligence, and she has published several papers in reputable journals, reflecting her commitment to advancing knowledge in her field.

Professional Profile:

ORCID

Suitability of Junfeng Chen for the Best Researcher Award

Based on the provided Curriculum Vitae, Junfeng Chen (陈俊风) demonstrates strong qualifications and achievements that make her a suitable candidate for the Best Researcher Award. Here are the key points supporting this opinion.

Education 🎓

  • Ph.D. in Control Science and Engineering
    Zhejiang University (ZJU), Hangzhou, Zhejiang, P. R. China
    Sep. 2007 – Sep. 2011
    Dissertation Topic: Stagnation Analysis of a Class of Computational Intelligence Approaches
    Supervisor: Prof. Tiejun Wu
  • M.Sc. by Research in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 2001 – Apr. 2004
    Dissertation Topic: Multi-sensor Information Fusion and Its Application in Mobile Robots
    Supervisor: Prof. Hua Sun
  • B.Sc. in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 1997 – Jul. 2001

Work Experience 💼

  • Associate Professor
    College of Artificial Intelligence and Automation, Hohai University (HHU), Changzhou, China
    Jan. 2015 – Present
  • Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Aug. 2007 – Dec. 2014
  • Associate Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Apr. 2004 – Jun. 2007

Achievements & Awards 🏆

  • Best Paper Award
    Awarded for outstanding research publication at the International Conference on Artificial Intelligence and Automation (ICAA).
  • Research Grant Recipient
    Received funding for research on multi-sensor information fusion from the National Natural Science Foundation of China.
  • Excellent Teacher Award
    Recognized for excellence in teaching at Hohai University, awarded by the College of Artificial Intelligence and Automation.
  • Outstanding Contribution Award
    Honored for significant contributions to the field of computational intelligence and automation at national conferences.

Publication Top Notes:

 

Dr. George Tzougas | Statistics Awards | Best Researcher Award

Dr. George Tzougas | Statistics Awards | Best Researcher Award 

Dr. George Tzougas, Heriot Watt University, United Kingdom

George Tzougas is an accomplished academic in the field of statistics and actuarial science, currently serving as an Associate Professor at Heriot-Watt University since 2021. He holds a Doctor of Philosophy Degree and a Master of Science Degree in Statistics and Actuarial Science, both from the Athens University of Economics and Business, as well as a Bachelor of Science in Mathematics from the same institution. Tzougas’s career includes notable positions such as Assistant Professor and Fellow in Statistics at the London School of Economics and Political Science, where he received multiple Excellence in Education Awards, recognizing his exceptional teaching and communication skills.

 

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the “Best Researcher Award” – George Tzougas

Dr. George Tzougas holds a Ph.D. in Statistics and Actuarial Science from the Athens University of Economics and Business. His extensive academic qualifications, including an M.Sc. in Statistics and Actuarial Science and a B.Sc. in Mathematics, provide a strong foundation for his advanced research in actuarial mathematics, computational statistics, and data science.

🎓 Education

  • Doctor of Philosophy in Statistics and Actuarial Science (2014)
    Department of Statistics, Athens University of Economics and Business.
  • Master of Science in Statistics and Actuarial Science (2008)
    Department of Statistics, Athens University of Economics and Business.
  • Bachelor of Science in Mathematics (2006)
    Department of Mathematics, Athens University.

💼 Work Experience

  • Associate Professor
    Heriot-Watt University (2021 – Present)
  • Assistant Professor
    London School of Economics and Political Science (2018 – 2021)
  • Fellow in Statistics
    London School of Economics and Political Science (2016 – 2018)
  • Lecturer in Statistics
    School of Mathematical Sciences, University College Cork (2015 – 2016)
  • Post-doctoral Research Fellow
    Department of Statistics, Athens University of Economics and Business (2014 – 2015)

🏆 Awards and Honors

  1. Highly Commended Award
    IFoA Best Paper Prizes 2021
    For the paper “Insurance ratemaking using the Exponential-Lognormal regression model” (co-authored with students) 🌟
  2. Excellence in Education Award
    London School of Economics and Political Science (2019-2020) 🎓
  3. Excellence in Education Award
    London School of Economics and Political Science (2018-2019) 🎓
  4. LSESU Teaching Excellence Award
    For Excellent Feedback and Communication (2018-2019) 🗣️
  5. Excellence in Education Award
    London School of Economics and Political Science (2017-2018) 🎓
  6. Best Class Teacher Award
    London School of Economics and Political Science (2016-2017) 🥇

💡 Research Grants

  1. Primary Investigator
    Research Project: “Carbon Dioxide Price Forecasting and Investigation of Spillover Effects Between Different Carbon Markets” (2022-2024) 🌍
  2. Co-Investigator
    Research on Risk in Decarbonisation Finance (2021-Present) 📊

Publication Top Notes:

Optimal bonus-malus systems using finite mixture models

CITED:55

EM estimation for the Poisson-inverse gamma regression model with varying dispersion: an application to insurance ratemaking

CITED:21

An EM algorithm for fitting a new class of mixed exponential regression models with varying dispersion

CITED:21

Mixture composite regression models with multi-type feature selection

CITED:20

Bonus-malus systems with two-component mixture models arising from different parametric families

CITED:20

 

 

Vasyl Martsenyuk | Data Science | Best Researcher Award

Vasyl Martsenyuk | Data Science | Best Researcher Award

Prof. Vasyl Martsenyuk, University of Bielsko-Biala, Poland.

Prof. Vasyl Martsenyuk is a prominent academic in the field of Computer Science and Automation, currently serving as a Full Professor and Head of the Department at the University of Bielsko-Biała, Poland. With a strong background in data science, machine learning, and cybernetics, he has significantly contributed to educational reforms and various research projects in Europe. An active member of international academic communities, Prof. Martsenyuk has published extensively and engaged in numerous collaborations, fostering advancements in digital pedagogy and applied artificial intelligence. His dedication to education and research continues to inspire students and colleagues alike. 🎓🌍💻

Publication Profile

Scopus
Orcid

Education and Experience

Education:
  • Ph.D. in Technical Sciences (2005)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 📚
  • Diploma of Full Professor in Medical Informatics with Biophysics (2005)
    Ministry of Education and Sciences of Ukraine 🇺🇦
  • Candidate of Physical and Mathematical Sciences (Ph.D.) (1996)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 🎓
  • Diploma in Applied Mathematics (1993)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics, Ukraine 🧮
  • Diploma in Pharmacy (2010)
    Kharkiv National Pharmaceutical University, Ukraine 💊
Experience:
  • Full Professor & Head of Department (2020-Present)
    University of Bielsko-Biała, Department of Computer Science and Automation 🏫
  • Associate Professor (2015-2020)
    University of Bielsko-Biała, Department of Computer Science and Automation 👨‍🏫
  • Scientific Supervisor (2014-2016)
    Institute of Information Technologies and Learning Tools, National Academy of Pedagogical Sciences of Ukraine 🔬
  • Full Professor & Head of Medical Informatics Department (2005-2016)
    Ternopil Medical University, Ukraine 🏥
  • Vice-Rector (2005-2015)
    Ternopil Medical University, Ukraine 🎖️

Suitability For The Award

Prof. Vasyl Martsenyuk is a distinguished academic with a strong educational foundation, extensive professional experience, and significant contributions to computer science, medical informatics, and cybernetics. He has excelled in research areas such as data science, artificial intelligence, and system analysis, alongside leadership roles in academia and international projects. With numerous awards, publications, and innovative initiatives, he has demonstrated exceptional expertise and dedication. His impactful work and commitment to advancing knowledge make him highly deserving of the Best Researcher Award.

Professional Development

Prof. Martsenyuk has engaged in numerous international traineeships, focusing on advancements in digital pedagogy, applied artificial intelligence, and big data innovations. Notably, he participated in the Erasmus+ program and collaborated with institutions such as the University of Montenegro and Charles University in Prague. His efforts have emphasized fostering digital learning environments and enhancing educational methodologies in the fields of medicine and technology. These experiences reflect his commitment to continuous professional growth and adaptation to emerging technological trends in education. 🌐📚✨

Research Focus

Prof. Martsenyuk’s research centers on data science, encompassing machine learning, artificial intelligence, and big data analysis. He explores the application of reinforcement learning within cybernetics, focusing on control theory and system analysis. His mathematical investigations include functional-differential equations, population dynamics, and stability analysis. By integrating these disciplines, he aims to develop innovative solutions that advance scientific computing and enhance decision-making processes in complex systems. Prof. Martsenyuk’s work significantly contributes to the advancement of knowledge in computer science and its practical applications. 🔍📊🤖

Awards and Honors

  • Award of the Supreme Council of Ukraine (2007) 🏅
  • Award of the Prime Minister of Ukraine (2009) 🎖️

Publication Top Notes

  • A Method to Improve the Accuracy of Bridge Cranes Overload Protection Using the Signal Graph (2024) 📖
  • Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges (2024)
  • On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research (2024)
  • The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane (2024) 📖
  • Amperometric Biosensor Based on Glutamate Oxidase to Determine Ast Activity (2024) 📰
  • Аналітичний огляд підходів до проектування виробничих мереж (2024)
  • Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements (2024)

Prof Dr. Camelia Cerbu | Computational Analysis Award | Best Researcher Award

Prof Dr. Camelia Cerbu | Computational Analysis Award | Best Researcher Award 

Prof Dr. Camelia Cerbu, Transilvania University of Brasov, Romania

Camelia Cerbu is a distinguished professor at Transilvania University of Brașov, Romania, specializing in Mechanical Engineering. With a robust academic background, she earned her Ph.D. in Engineering Sciences in 2005, focusing on the structural optimization of composite materials under challenging environmental conditions. Over her career, she has advanced through various academic ranks, from University Assistant to Professor, while also serving as a PhD supervisor in Mechanical Engineering. Her research expertise encompasses the strength of materials, mechanics of composite materials, and the analysis of stress and strain fields in mechanical structures. In addition to her academic pursuits, Dr. Cerbu has contributed to industry through her engineering roles in research and design for manufacturing technologies. Her commitment to education is reflected in her involvement in developing modern educational technologies and mentoring numerous graduate and doctoral students.

Professional Profile:

Summary of Suitability for the Best Researcher Award: Camelia Cerbu

Overview: Camelia Cerbu is a highly qualified candidate for the Best Researcher Award, demonstrating extensive experience and significant contributions in the field of Mechanical Engineering, particularly in materials science and composite materials. Her academic credentials, professional experience, and impactful research align with the criteria for this prestigious award.

🏫 Education:

  • PhD in Engineering Sciences (Mechanical Engineering)
    Transilvania University of Brașov, 2005
    Thesis: Research on structural optimization of composite materials under aggressive environmental conditions.
  • Master’s in Computer Assisted Technological Engineering
    Transilvania University of Brașov, 1997
  • Engineer in Mechanics (Machine Building Technology, CAD)
    Transilvania University of Brașov, 1996

💼 Work Experience:

  • Professor (2016 – Present)
    Transilvania University of Brașov

    • Teaching courses in Strength of Materials, Mechanics of Composite Materials, and Dynamics of Mechanical Structures.
    • Supervising PhD theses and research activities.
  • Associate Professor (2007 – 2016)
    Transilvania University of Brașov
  • University Lecturer (2002 – 2007)
    Transilvania University of Brașov
  • University Assistant (2000 – 2002)
    Transilvania University of Brașov
  • Engineer (1997 – 2000)
    S.C. I.U.S. S.A. Brașov

    • Designed manufacturing technology for hand tools.
  • Engineer (1996 – 1997)
    Automotive Institute of Brașov

    • Worked on Computer Aided Design for inspection tools.

🔍 Research Expertise:

Camelia’s research interests include:

  • Strength of materials and mechanics of isotropic and anisotropic materials.
  • Finite element analysis and stress-strain field analysis in mechanical structures.
  • Experimental determination of mechanical properties of materials.
  • Investigating environmental impacts on composite materials.

🏆 Professional Development:

  • PhD Supervisor at the Doctoral School of Transilvania University of Brașov (2015 – Present)
  • Habilitation in Mechanical Engineering (2015)

💡 Skills and Competencies:

Camelia is adept in:

  • Strength and mechanics of materials
  • Finite Element Method (FEM)
  • Computer Aided Design (CAD)
  • Research supervision and scientific coordination

Publication top Notes:

Effects of Rubber Core on the Mechanical Behaviour of the Carbon–Aramid Composite Materials Subjected to Low-Velocity Impact Loading Considering Water Absorption

Characteristics of Carbon and Kevlar Fibres, Their Composites and Structural Applications in Civil Engineering—A Review

Investigation on Phoenix dactylifera/Calotropis procera Fibre-Reinforced Epoxy Hybrid Composites

Evaluation of Wave Velocity in Orthotropic Media Based on Intrinsic Transfer Matrix

Design Solutions for Slender Bars with Variable Cross-Sections to Increase the Critical Buckling Force

Effect of the Looseness of the Beam End Connection Used for the Pallet Racking Storage Systems, on the Mechanical Behavior of the Bearing Beams