Georgi Kadikyanov | Engineering | Best Researcher Award

Posted on by sciencefather

Assoc Prof Dr. Georgi Kadikyanov | Engineering | Best Researcher Award

Associate professor, University of Ruse, Bulgaria

🌟 Georgi Kadikyanov is a dedicated researcher and academic in the field of mechanization and electrification of crop-growing. With a strong background in transport machinery and technologies, he has made significant contributions to the development and enhancement of agricultural and transport machinery. Georgi has actively participated in various high-profile projects and has published numerous research papers, earning recognition in the scientific community.

Publication Profile

Strengths for the Award:

  1. Educational Background:
    • Georgi Kadikyanov has a strong educational foundation in mechanization and electrification of crop-growing, transport machinery, and technologies, holding degrees from “Angel Kanchev” University of Ruse. His educational background is highly relevant to his field of research.
  2. Research Contributions:
    • Kadikyanov has published 27 peer-reviewed articles with 98 citations, demonstrating a solid impact in his area of research. His work on increasing the durability of aluminum parts in agricultural and transport machinery is significant.
  3. Project Involvement:
    • He has been actively involved in multiple research projects, both as a participant and in leadership roles. Notable projects include:
      • “Boosting Innovation in Education and Research of Precision Agriculture in Palestine”
      • National Scientific Program “Intelligent Plant Farming”
      • Projects focusing on high-duty vehicle efficiency and support for carrier development in engineering research.
    • These contributions indicate a strong capability in collaborative and applied research.
  4. Patent Contributions:
    • Kadikyanov holds 1 patent and has 2 utility models, showcasing his ability to translate research into practical, intellectual property that benefits industry and technology.
  5. Industry Collaboration:
    • His involvement in contracts with industry partners, such as Transport Electronics – 91 Ltd., highlights his commitment to bridging academic research with practical applications.

Areas for Improvement:

  1. Broader Publication Impact:
    • While he has a respectable number of publications, increasing the impact factor and visibility of these publications in higher-tier journals could further strengthen his research profile.
  2. Patent Portfolio Expansion:
    • Expanding his portfolio of patents and patent applications could enhance his standing as a leading researcher and innovator in his field.
  3. Increased Citations:
    • Working on increasing citations by fostering collaborations and ensuring his research is widely disseminated could enhance the recognition of his work.
  4. International Recognition:
    • Gaining more international recognition through participation in global conferences and collaborations could provide a broader platform for his research achievements.

Education

🎓 PhD Student in Mechanization and Electrification of Crop-Growing Institution: “Angel Kanchev” University of Ruse
PhD Thesis: Increasing Durability of Aluminum Parts of the Agricultural and Transport Machinery. Master in Transport Machinery and Technologies, Institution: “Angel Kanchev” University of Ruse. Bachelor in Transport Machinery and Technologies
Institution: “Angel Kanchev” University of Ruse.

Experience

Georgi has extensive experience in managing and participating in competitive research projects, including the prestigious EU-funded initiatives and national scientific programs. His work has significantly contributed to innovations in precision agriculture and transport machinery.

Research Focus

Georgi’s research primarily focuses on improving the durability and efficiency of agricultural and transport machinery, with a particular emphasis on aluminum parts. His work in this area aims to advance agricultural technologies and enhance the performance of transport vehicles.

Awards and Honours

Georgi Kadikyanov has been recognized for his contributions to the field with several awards and honors, although specific awards are not listed in the provided details. 🏆

Publications

Experimental Determination of Bicycles and Electric Bicycle Stopping Distance

A study of the fuel consumption of hybrid car Toyota YarisTransport Problems

Energy characteristics of citroen berlingo converted to electric vehicleTransport Problems

Life cycle assessment of electric and conventional cars energy consumption and CO<inf>2</inf> emissionsMATEC Web of Conferences

A study of the influence of some exploitation factors on the atv stabilityTransport Problems

Conclusion:

Georgi Kadikyanov is a strong candidate for the Best Researcher Award due to his extensive educational background, impactful research publications, significant project involvement, and contributions to patents and industry contracts. Addressing the areas for improvement, such as expanding his publication impact and patent portfolio, could further bolster his candidacy. Overall, his achievements and contributions reflect a high level of research excellence and innovation.

 

Ruslan Asfandiyarov | Engineering | Best Researcher Award

Posted on by sciencefather

Mr. Ruslan Asfandiyarov | Engineering | Best Researcher Award

Researcher, Independent, Switzerland

Ruslan Asfandiyarov is a seasoned professional with a 19-year career that spans theoretical physics, data science, and AI. He has made significant strides in digital transformation across various sectors, including medical devices and renewable energy. Ruslan’s expertise blends fundamental science, engineering, and advanced data analysis, leading to patents in microelectronics and sensor design. His leadership, combined with extensive multi-cultural experience, has positioned him as a visionary in navigating complex interdisciplinary landscapes. 🌟🔬

Profile

 

Strengths for the Award

  1. Innovative Contributions: Ruslan Asfandiyarov has a strong record of pioneering advancements in data science, AI, and digital transformation. His work in medical devices, renewable energy, and next-gen technology solutions aligns well with the award’s focus on community impact.
  2. Global Experience and Leadership: His leadership roles across multiple sectors and international experience demonstrate his capability to drive impactful research and development. This global perspective is beneficial for understanding and addressing diverse community needs.
  3. Significant Achievements:
    • MedTech Innovations: Co-founding Spiden and developing new diagnostic medical devices shows a direct impact on healthcare.
    • Renewable Energy: His work in geothermal and solar power projects contributes to sustainable development and environmental protection.
    • AI and Digital Transformation: His involvement in digital transformation and AI research, including applications in labor market analysis, showcases his commitment to leveraging technology for societal benefits.
  4. Academic and Industry Accomplishments:
    • Contribution to Nobel Prize-winning research and substantial patents in various fields underscore his research excellence.
    • His high citation impact and recognition in Swiss media highlight his influence in the scientific and entrepreneurial communities.
  5. Strategic Vision and Execution: His ability to secure funding, scale startups, and build cross-functional teams reflects his strategic planning and execution skills.

Areas for Improvement

  1. Direct Community Engagement: While his innovations have broad impacts, the profile could benefit from more explicit examples of how his work has directly engaged and benefited specific communities or underserved populations.
  2. Documentation of Community Impact: Providing more detailed case studies or data on how his projects have improved community health, economic conditions, or environmental sustainability would strengthen his application.
  3. Integration of Community Feedback: Demonstrating how community feedback has shaped his projects or led to adaptations that better serve community needs would be valuable.

Education

Ruslan earned his PhD in Physics from the University of Geneva and Rutherford Laboratory, Oxford, UK (2010–2014). He also holds a degree in Engineering & Physics from National Research Nuclear University, Moscow, Russia (2001–2007), where he specialized in experiments in natural sciences and engineering. 🎓📚

Experience

Ruslan has held influential roles including Adviser on Digital Transformation and AI at the Ministry of Labor in Qatar, AI Researcher, and Founder & CEO of Deepeex. He has also founded and co-founded several ventures, including startups and consulting firms, raising over CHF 20 million and creating numerous high-paid jobs. His career highlights include contributing to a Nobel Prize-winning discovery and managing significant projects in space science and medical technology. 🚀💼

Research Interests

Ruslan’s research interests encompass AI and data science, particularly in the intersection of Large Language Models (LLMs) with scientific discovery and creativity. He explores how AI can augment scientific inference and has a strong focus on Natural Language Processing (NLP), machine learning, and high-performance computing. 🤖🔍

Awards

Ruslan’s accolades include being featured by Bilan magazine as a top entrepreneur in Swiss Romand and his startup, Spiden, being named the No.1 MedTech venture in 2021 by Top 100 Swiss Startups. His h-index of 103 underscores his impactful contributions to the field. 🏆🌍

Publications

  1. The ATLAS Simulation Infrastructure
    ATLAS Collaboration. The European Physical Journal C, 2010.Link
  2. Improved Luminosity Determination in pp Collisions Using the ATLAS Detector at the LHC
    ATLAS Collaboration. The European Physical Journal C, 2013.Link
  3. Performance of Missing Transverse Momentum Reconstruction in Proton-Proton Collisions at √s = 7 TeV with ATLAS
    ATLAS Collaboration. The European Physical Journal C, 2012.Link
  4. Measurement of the Inclusive Isolated Prompt Photon Cross Section in pp Collisions at √s = 7 TeV with the ATLAS Detector
    ATLAS Collaboration. arXiv preprint arXiv:1012.4389, 2010.Link
  5. Observation of a Centrality-Dependent Dijet Asymmetry in Lead-Lead Collisions at √sNN = 2.76 TeV with the ATLAS Detector at the LHC