Aleksey Tashkinov | Educational Data Analysis | Best Researcher Award

Mr. Aleksey Tashkinov l Educational Data Analysis | Best Researcher Award

Perm National Research Polytechnic University, Russia

Author Profile

Google Scholar

Early Academic Pursuits 🎓

Mr. Tashkinov Aleksey began his academic journey with a strong foundation in economic sciences, ultimately earning his designation as a Candidate of Economic Sciences. His early academic pursuits focused on developing theoretical models and conceptual approaches to economic systems, particularly in production management and organizational change in the digital era. This initial exploration laid the groundwork for his ongoing contributions to the academic field, with a focus on integrating traditional economic concepts with emerging technological advancements like digital transformation and lean manufacturing.

Professional Endeavors 💼

As an Associate Professor at Perm National Research Polytechnic University, Mr. Tashkinov has demonstrated his professional expertise through teaching and research. His role extends beyond just academia, having been directly involved in consultancy and industry projects that bridge the gap between theoretical knowledge and real-world application. His experience in the implementation of lean methodologies, digital production systems, and project management techniques has been pivotal in shaping the strategies of numerous enterprises in the industrial sector, particularly in the context of digital transformation.

Contributions and Research Focus 🔍

Mr. Tashkinov’s research focus is centered around enterprise management, lean manufacturing, and the economics of digital transformation. He explores how industries can adapt to modern challenges through the implementation of Industry 4.0 principles and digital tools. His work on digital transformation strategies, quality systems, and active manufacturing systems is of particular significance in understanding how enterprises can thrive in a rapidly changing technological landscape. Through his collaborative efforts with students, faculty, and industry leaders, he continues to make notable contributions to the academic community and beyond.

Impact and Influence 🌍

Mr. Tashkinov’s contributions have a wide-reaching impact on both academic theory and industrial practice. His research on lean manufacturing and digital production has influenced the strategies adopted by many enterprises, helping them transition to more efficient, innovative, and sustainable business models. By providing actionable insights into the integration of digital tools and manufacturing technologies, he has positively affected the operational efficiency and management practices within a variety of industries.

Academic Cites 📚

With a Hirsch index of 7, Mr. Tashkinov’s work has been cited extensively in academic journals and industry publications. His notable papers on the role of artificial intelligence in lean manufacturing, the development of digital strategies for industrial enterprises, and the transformation of production management systems highlight his academic impact. His published works in leading journals like Discover Artificial Intelligence and International Journal of Management Trends underscore the significance of his research in the evolving field of industrial economics and management.

Technical Skills ⚙️

Mr. Tashkinov has honed an impressive array of technical skills that complement his academic expertise. He is proficient in digital manufacturing, lean technologies, and project management tools that are vital in guiding enterprises through digital transformation. His knowledge extends to cutting-edge technologies such as artificial intelligence and virtual reality, which he integrates into real-world management solutions. These technical skills are essential for his work in academia, consultancy, and industry projects, where he leads initiatives aimed at enhancing operational efficiency through digital means.

Teaching Experience 👨‍🏫

With years of teaching experience, Mr. Tashkinov has become a key educator at Perm National Research Polytechnic University. He plays an integral role in mentoring students, helping them develop the skills and critical thinking necessary for success in the field of economics and industrial management. His pedagogical approach is rooted in practical experience, often involving students in real-world projects and case studies to provide them with a comprehensive understanding of the challenges and opportunities in digital transformation and enterprise management.

Legacy and Future Contributions 🌱

As an academic and researcher, Mr. Tashkinov is committed to leaving a lasting legacy in the fields of economics and industrial production management. His future contributions will likely focus on the further integration of digital tools in enterprise management, especially as industries continue to evolve in response to digital transformation. He envisions a future where his work continues to inspire the next generation of researchers, practitioners, and industry leaders to explore new ways to enhance productivity, innovation, and sustainability in industrial settings.

Collaboration and Industry Engagement 🤝

Mr. Tashkinov is dedicated to fostering collaborations with both academic peers and industry leaders. His research is highly collaborative, with numerous joint projects involving students, faculty, and professionals from diverse sectors. These collaborations are critical to ensuring that his research addresses real-world challenges and remains relevant to current industry needs. His active engagement with the industrial sector also provides valuable opportunities for knowledge transfer, ensuring that the latest research findings are effectively applied to improve operational performance.

Professional Memberships and Recognition 🏅

Mr. Tashkinov’s professional standing is further bolstered by his membership in several prestigious academic and professional organizations related to economics, industrial production, and digital transformation. These memberships provide him with access to a global network of experts and a platform to share his research with an international audience. His contributions have been recognized by various academic and industry bodies, affirming his reputation as a leader in his field.

Top Noted Publications 📖

Theoretical and methodological foundations of the process approach to management in an industrial enterprise
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2014
Strategically Oriented Budgeting in an Industrial Enterprise: A Methodological Approach
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2013
The Impact of Integrated Lean Manufacturing Implementation on the Efficiency of Enterprise Production System Development
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2022
Change management mechanism in the development of production systems
    • Authors: VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2015
Development of a methodology for assessing the effectiveness of projects for developing an enterprise production system within the framework of an integrated management technology
    • Authors: NB Akatov, VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2016
Improving the mechanism of industrial enterprise management
    • Authors: VL Popov, AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2016

Kai Liu | Data Analysis | Best Researcher Award

Prof Dr. Kai Liu | Data Analysis | Best Researcher Award

Shenzhen Institute of Advanced Technology, China

Author Profile

👨‍🎓 Summary

Prof. Dr. Kai Liu is a renowned professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, in Shenzhen, China (2023-present). His research focuses on the bottom-up construction of life-like self-assembly systems, exploring their applications in biology, materials science, and catalysis.

🎓 Education

Prof. Dr. Liu earned his Ph.D. in Biochemical Engineering from the Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China (2014-2017). He also completed his M.Sc. in Biochemical Engineering at the same institute (2012-2014), following his B.Sc. in Bioengineering from Yanshan University, Qinhuangdao, China (2008-2012).

💼 Professional Experience

Prof. Dr. Liu is currently a Professor at the Shenzhen Institute of Advanced Technology (2023-present). Before this, he was a Postdoctoral Fellow at the University of Groningen, The Netherlands (2018-2023), where he contributed to advanced research in biochemical and soft materials engineering.

🔬 Research Interests On Data Analysis

His research spans several key areas: biomolecular self-assembly, functional soft materials, non-equilibrium self-assembly, and active matter systems. He is particularly interested in the regulation of self-assembly at biological interfaces and its potential applications in catalysis and materials science.

🛠️ Technical Skills

Prof. Dr. Liu specializes in self-assembly techniques, soft materials design, biomolecular engineering, and non-equilibrium systems. His technical expertise also extends to catalysis and active matter systems.

👩‍🏫 Teaching Experience

He has significant teaching experience in biochemical engineering, self-assembly systems, and materials science. Prof. Dr. Liu is also dedicated to mentoring graduate students and postdoctoral researchers, providing them with valuable insights and guidance in their academic and professional growth.

📚 Academic Citations

Prof. Dr. Liu has made notable contributions to the field through numerous publications in high-impact journals. His work on self-assembly and active materials has received widespread recognition and is frequently cited within the academic community.

 

📖 Top Noted Publications

Peptide self-assembly: thermodynamics and kinetics
    • Authors: J Wang, K Liu, R Xing, X Yan
    • Journal: Chemical Society Reviews
    • Year: 2016
An Injectable Self-Assembling Collagen-Gold Hybrid Hydrogel for Combinatorial Antitumor Photothermal/Photodynamic Therapy
    • Authors: R Xing, K Liu, T Jiao, N Zhang, K Ma, R Zhang, Q Zou, G Ma, X Yan
    • Journal: Advanced Materials (Deerfield Beach, Fla.)
    • Year: 2016
Simple peptide-tuned self-assembly of photosensitizers towards anticancer photodynamic therapy
    • Authors: K Liu, R Xing, Q Zou, G Ma, H Möhwald, X Yan
    • Journal: Angewandte Chemie
    • Year: 2016
Peptide-modulated self-assembly of chromophores toward biomimetic light-harvesting nanoarchitectonics
    • Authors: Q Zou, K Liu, M Abbas, X Yan
    • Journal: Advanced Materials
    • Year: 2016
Peptide-induced hierarchical long-range order and photocatalytic activity of porphyrin assemblies
    • Authors: K Liu, R Xing, C Chen, G Shen, L Yan, Q Zou, G Ma, H Möhwald, X Yan
    • Journal: Angewandte Chemie International Edition
    • Year: 2015

Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.