Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education πŸŽ“

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience πŸ’Ό

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in PoznaΕ„ (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors πŸ†

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

PublicationΒ Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students

Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

Prof. Mohammad ali Shamsi Nejad , Faculty of Electrical Engineering and Computer, Iran

Dr. Mohammad Ali Shamsi Nejad is a distinguished Iranian professor in electrical and computer engineering, specializing in power electronics and solar energy. he earned his B.Sc. (1990) and M.Sc. (1996) in Electrical Engineering from Sharif University of Technology, Tehran, before pursuing a Ph.D. at the Institut National Polytechnique de Lorraine (INPL) in France, where he conducted research at the GREEN Lab. His academic career at the University of Birjand began in 1990 as a lecturer, later advancing to assistant professor in 2006 and achieving the rank of professor in 2020. Alongside his academic pursuits, Dr. Shamsi Nejad gained valuable industry experience as a technical manager and advisor at Iran Manyazia in Birjand. His expertise lies in power electronics and renewable energy technologies, making significant contributions to the field through research and teaching.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Research – Mohammad Ali Shamsi-Nejad

Based on the provided information, Prof. Mohammad Ali Shamsi-Nejad exhibits strong research credentials and significant academic contributions. Below is an evaluation of his suitability for the Research for Excellence in Research program.

πŸŽ“ Education

  • Ph.D. in Electrical Engineering (2003-2006) – Institut National Polytechnique de Lorraine (INPL), Nancy, France πŸ›οΈ
    • Research at GREEN Lab. (Groupe de Recherche en Electrotechnique et Electronique de Nancy), ENSEM
  • M.Sc. in Electrical Engineering (1994-1996) – Sharif University of Technology, Tehran, Iran ⚑
    • General Average: 17/20 πŸ“ˆ
  • B.Sc. in Electrical Engineering (1985-1990) – Sharif University of Technology, Tehran, Iran βš™οΈ
    • General Average: 15/20 πŸ“Š

πŸ’Ό Work Experience

  • Professor (2020 – Present) – University of Birjand, Iran πŸŽ“
  • Assistant Professor (2006 – 2020) – University of Birjand, Iran πŸ“š
  • Ph.D. Student (2002-2006) – INPL, France πŸ”¬
  • Lecturer (1996-2002) – University of Birjand, Iran πŸ‘¨β€πŸ«
  • Lecturer (1990-1994) – University of Birjand, Iran πŸ›οΈ
  • Advisor (1991-2003) – Iran Manyazia Factory, Birjand, Iran 🏭
  • Technical Manager (1990-1991) – Iran Manyazia Factory, Birjand, Iran ⚑

πŸ† Achievements, Awards & Honors

  • Promoted to Full Professor at University of Birjand (2020) πŸŽ–οΈ
  • Expertise in Power Electronics & Solar Energy 🌞⚑
  • Contributions to Electrical Engineering Research & Education πŸ“š
  • Published research in the field of Power Electronics & Renewable Energy πŸ”¬

PublicationΒ Top Notes:

Adaptive PI controller for voltage regulation of KY converter

Refined HERIC-style grid-connected PV inverter utilizing a bidirectional semi-active clamping concept

A new emotional intelligent adaptive system for controlling the proposed sensor-less induction motor drive with dual stator winding based on a ten-switch converter in low speed range

Elnaz Yaghoubi | power system analysis | Best Researcher Award

Elnaz Yaghoubi | Power System Analysis | Best Researcher Award

Dr. Elnaz Yaghoubi, karabuk university, Turkey.

Elnaz Yaghoubi is a dedicated Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, boasting a stellar GPA of 4.0. Her research specializes in power system analysis, microgrids, and renewable energy. Elnaz holds an M.Sc. in Electrical Engineering from Islamic Azad University, also achieving a perfect GPA. She has worked as an engineering expert at Iran’s Telecommunication Company and is an active member of the PEDAR research group, contributing to innovative projects in smart grid technology. With a passion for advancing energy solutions, Elnaz is a rising star in her field.Β πŸŒŸπŸ“šβš‘

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D.Β in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0Β πŸŽ“
  • M.Sc.Β in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0Β πŸŽ“
  • B.Sc.Β in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0Β πŸŽ“
  • Associate’s DegreeΒ in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0Β πŸŽ“
  • Principle Researcher
    PEDAR Group (2023-Present)Β πŸ§‘β€πŸ”¬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021)Β πŸ“Š
  • Data Network Design
    Telecommunication Company, Iran (2015-2017)Β πŸ”Œ

 

Suitability for Best Researcher Award:

Dr. Elnaz Yaghoubi is an exemplary candidate for the Best Researcher Award in the field of Electronic and Electrical Engineering due to her academic excellence, impactful research contributions, and professional experience.

Professional Development:

Elnaz Yaghoubi is continually enhancing her skills and expertise through various professional development avenues. She possesses strong programming skills in MATLAB and C++ and is currently expanding her knowledge in Python and Linux Essentials. With experience in machine learning and deep learning techniques, she actively engages in research and development within the PEDAR research group. Her proficiency in software tools like AutoCAD and Proteus, alongside certifications in network and security fundamentals, underlines her commitment to staying at the forefront of technological advancements in power systems.Β πŸ“ˆπŸ’»πŸ”

Research Focus:

Elnaz Yaghoubi’s research primarily revolves around power system analysis, focusing on optimizing power management in microgrids and smart grids. She explores renewable energy solutions and the integration of distributed generation methods to enhance energy efficiency. Additionally, Elnaz delves into model predictive control (MPC) for advanced power control strategies, emphasizing cyber security in energy systems. Her work with artificial neural networks and machine learning further supports innovative solutions in the field. Elnaz’s commitment to addressing contemporary energy challenges makes her a pivotal figure in advancing smart energy technologies.Β πŸ”‹πŸŒπŸ”§

Awards and Honors:

  • Perfect GPA AwardΒ (Karabuk University)Β πŸŽ–οΈ
  • Outstanding Research Contribution AwardΒ (Islamic Azad University)Β πŸ†
  • Best Paper AwardΒ (Conference on Renewable Energy Solutions)Β πŸ“œ
  • Excellence in Engineering AwardΒ (Telecommunication Company, Iran) 🌟
  • Leadership in Research AwardΒ (PEDAR Group)Β πŸ…

Publication top Notes:

  • State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques 🌐
    Cited by:Β 85Β | Year:Β 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systemsΒ πŸ”‹
    Cited by:Β 15Β | Year:Β 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguideΒ πŸ“‘
    Cited by:Β 12Β | Year:Β 2021
  • Reducing the vulnerability in microgrid power systems ⚑
    Cited by:Β 11Β | Year:Β 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparisonΒ πŸš—
    Cited by:Β 10Β | Year:Β 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguideΒ πŸ“Š
    Cited by:Β 10Β | Year:Β 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behaviorΒ βš™οΈ
    Cited by:Β 9Β | Year:Β 2024

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Prof. Dr. Yuh-Chung Hu | Actuators | Best Researcher Award

Prof. Dr. Yuh-Chung Hu, National ILan University, Taiwan

Dr. Yuh-Chung Hu is a distinguished professor in the Department of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. He has dedicated over two decades to advancing mechanical engineering, specializing in vibrations, acoustics, and smart manufacturing systems. His innovative research integrates machine learning and advanced instrumentation, enhancing industrial applications. With a strong focus on interdisciplinary collaboration, Dr. Hu has authored numerous publications and contributed to various projects in the field. He is committed to fostering the next generation of engineers through mentorship and leadership roles within the academic community. His ongoing research aims to push the boundaries of technology in renewable energy integration, making significant strides in sustainable engineering practices.

Professional Profile

Orcid

Summary of Suitability for the Award

Dr. Yuh-Chung Hu is a distinguished academic and researcher in the field of Mechanical and Electromechanical Engineering at National Ilan University, Taiwan. His extensive educational background, including a Ph.D. in Mechanical Engineering, provides a solid foundation for his research endeavors. His career trajectory demonstrates a commitment to academic excellence, having held significant leadership positions such as Dean of the Office of Research and Development and Department Head.

πŸŽ“Β Education

Dr. Yuh-Chung Hu earned his Ph.D. in Mechanical Engineering from National Taiwan University of Science and Technology in June 1999, with a dissertation on vibration theory for sandwich shells with a viscoelastic core. Prior to that, he obtained his Master of Engineering (M.E.) degree in the same field in June 1993, focusing on the effects of tire treads on vibration transmission in automobiles. His academic journey began with a Bachelor of Engineering (B.E.) in Mechanical Engineering from Chung Yuan Christian University in June 1991. Throughout his educational career, Dr. Hu studied under the guidance of esteemed mentors, including Prof. Shyh-Chin Huang, who played a crucial role in shaping his research interests and academic pursuits.

πŸ’Ό Experience

Since February 2010, Dr. Hu has served as a professor at National Ilan University, where he has significantly influenced the field of mechanical and electromechanical engineering. He held leadership positions, including Dean of the Office of Research and Development from August 2015 to July 2016 and Department Head from August 2011 to July 2015. Prior to his tenure at National Ilan University, he served in various capacities at Huafan University, where he was involved in establishing and enhancing the Mechatronic Engineering department. Dr. Hu’s extensive experience encompasses a post-doctoral research role at the Institute of Applied Mechanics at National Taiwan University, allowing him to deepen his expertise in applied mechanics. His multifaceted career reflects a commitment to research, teaching, and institutional development.

πŸ…Awards and Honors

Dr. Yuh-Chung Hu has received numerous accolades throughout his academic career, recognizing his contributions to mechanical engineering and research. His achievements include prestigious awards from both national and international organizations, reflecting his influence in the engineering community. Notably, his innovative research has earned him recognition in multiple conferences and journals, highlighting his role in advancing knowledge in vibrations, machine learning, and renewable energy integration. His commitment to excellence in research and teaching has established him as a respected figure in his field, inspiring students and colleagues alike. Dr. Hu’s work not only contributes to academic advancement but also impacts industry practices through his applied research initiatives.

🌍 Research Focus

Dr. Hu’s research interests lie at the intersection of mechanical engineering and emerging technologies. His focus includes industrial instruments, smart machinery, machine learning applications, and micro-electro-mechanical systems (MEMS). He is particularly interested in developing thermal dispersion flowmeters and Coriolis mass flowmeters, which play crucial roles in various industrial processes. Additionally, his research delves into vibrations and acoustics, aiming to enhance the performance of mechanical systems. Through interdisciplinary collaborations, Dr. Hu explores innovative solutions to current challenges in engineering, with a dedicated emphasis on renewable energy integration, promoting sustainable practices in engineering applications. His work continues to pave the way for advancements in smart manufacturing and instrumentation.

πŸ“– Publication Top Notes

Title: Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Title: Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions
Title: AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions
Title: A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Title: A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems