Mr. Amin Hosseini | Energy Awards | Innovative Research Award

Posted on by Global Sensor Awards

Mr. Amin Hosseini | Energy Awards | Innovative Research Award

Mr. Amin Hosseini, University of Isfahan, Iran

Amin Hosseini is a dedicated industrial engineer and researcher specializing in supply chain logistics, data science, and the Internet of Things (IoT), with a strong focus on renewable energy systems. Currently pursuing his M.Sc. in Industrial Engineering at the University of Isfahan, Iran, he has distinguished himself as a top graduate student and is conducting advanced research on designing energy-aware dual-channel renewable fuel supply chain networks under uncertainty. He earned his B.Sc. from Shiraz University of Technology and has since contributed to high-impact journals with publications on agricultural supply chains, Industry 4.0 integration, and supply chain coordination. Beyond his academic achievements, Amin has taken leadership roles as the founder and chair of scientific associations and served as a reviewer for scholarly journals. His technical expertise spans optimization, uncertainty modeling, and simulation tools like Python, GAMS, and AnyLogic. Amin is also active in digital marketing and e-commerce consulting within the education sector and is passionate about sustainable development, strategic thinking, and chess.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Innovative Research Award: Amin Hosseini

Amin Hosseini stands out as a promising and highly suitable candidate for the Research for Innovative Research Award, based on his exceptional contributions to sustainable logistics, data-driven supply chain design, and integration of Industry 4.0 technologies. Despite currently being a master’s student at the University of Isfahan, his research track record, leadership, and vision exemplify the essence of innovation and forward-thinking necessary for this distinction.

🎓 Education

  • M.Sc. in Industrial Engineering (Logistics & Supply Chain)
    University of Isfahan, Iran (2021–2024)

    • 🏆 Thesis: Design of energy-aware dual-channel renewable bioethanol fuel supply chain network under uncertainty

    • 🥇 Distinguished Graduate Student (Top of Class)

  • B.Sc. in Industrial Engineering
    Shiraz University of Technology, Iran (2016–2021)

💼 Work Experience

  • Digital Marketing Specialist & E-commerce Consultant
    Industrial Engineering Department, Higher Education Institute, Iran

  • 🧠 Researcher in Supply Chain & IoT
    University of Isfahan – Focus on sustainable logistics and renewable energy integration

📚 Academic Achievements & Publications

  • 📖 Published multiple articles in high-impact journals like Supply Chain Management, Computers & Industrial Engineering, and International Journal of Applied Optimization Studies

  • 🧾 Research areas:

    • Industry 4.0 in agriculture

    • Renewable fuel logistics

    • Competitive supply chain coordination

    • Pharmaceutical delivery systems

🏅 Awards & Honors

  • 🥈 2nd Place (Team) & 🥉 3rd Place (Individual) in Regional University Chess Tournament (Iran)

  • 🏅 Distinguished M.Sc. Student in Industrial Engineering, University of Isfahan

  • 🧩 Founder & Chair, Scientific Association – University of Isfahan

  • 🎓 Chair, Scientific Association – Shiraz University of Technology

Publication Top Notes:

Agricultural supply chain planning considering the role of Industry 4.0: Technology assessment approach

CITED:1

Energy-Aware Dual-Channel agricultural supply chain network design under uncertainty

CITED:0

Coordinating Supply Chains in Competitive Environments through Wholesale Price Contracts under Uncertainty

CITED:0

Designing a flexible supply chain network in the pharmaceutical industry with different delivery modes

CITED:0

 

 

 

Assoc. Prof. Dr. Ekaterina Gospodinova | Photovoltaic Systems Awards | Best Researcher Award

Posted on by Global Sensor Awards

Assoc. Prof. Dr. Ekaterina Gospodinova | Photovoltaic Systems Awards | Best Researcher Award 

Assoc. Prof. Dr. Ekaterina Gospodinova, Technical University of Sofia, Bulgaria

Dr. Ekaterina Gospodinova Zaharieva is an Associate Professor of Engineering at the Technical University of Sofia, Bulgaria, with extensive experience in both academia and research. With a Ph.D. in Software Engineering, she has specialized in Artificial Intelligence, Software Engineering, and Neural Networks. Over her career, she has excelled in designing engaging lectures, developing online courses, and enhancing student engagement through innovative teaching methods. Dr. Zaharieva is known for her expertise in integrating technology into the classroom, using tools like PowerPoint and Google Classroom to foster interactive learning experiences. Her research spans topics such as neural networks for predicting viral infections and energy efficiency algorithms. In addition to her academic roles, she has a strong background in software development and has contributed to numerous research projects and publications. Dr. Zaharieva is passionate about mentoring students and doctoral candidates, working on scientific papers, textbooks, and providing training. She is a member of various professional organizations including Rotary International and the Institute of Electrical and Electronics Engineers (IEEE), and is committed to advancing the field of computer technology through her teaching and research endeavors.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Ekaterina Gospodinova Zaharieva is a distinguished lecturer and researcher at the Technical University of Sofia, Bulgaria, with over 30 years of experience in computer technology and artificial intelligence. Her dedication to creating engaging educational content, combined with her research expertise, positions her as a leading candidate for the Best Researcher Award.

🎓 Education:

  • 🧠 Ph.D. in Software Engineering (2020)
    University “Prof. Dr. Assen Zlatarov” – Burgas, Bulgaria

    • Specialized in Artificial Intelligence, Neural Networks, Software Assurance, and Communication Technology

    • Dissertation: Concepts for building distributed special-purpose information systems

    • Research Projects:

      • Mathematical modeling & prediction of viral infections using neural networks

      • Energy efficiency improvement using artificial neural networks

  • 💻 M.Sc. in Informatics (2006)
    Technical University of Sofia – Sofia, Bulgaria

    • Courses: Mathematical Modeling, Programming Languages, Mathematical Linguistics, Automated Information Systems

  • 🛠️ M.Sc. in Engineering (1995)
    Technical University of Sofia – Sofia, Bulgaria

    • Dissertation: System Modeling of Real Systems and Software Assurance

    • Achievements during study:

      • 🏆 Marie Curie Award recipient (1995)

      • 🎓 High Achievement Scholarship (1992, 1993)

      • 🤝 President, Student Council

      • 🎾 Tennis Team Captain

      • 💡 Member of Mathematical Linguistics, Programming, Computer Graphics clubs

💼 Work Experience:

  • 👩‍🏫 Associate Professor / Lecturer (2012–present)
    Technical University of Sofia, Sliven, Bulgaria

    • Lecture development, remote teaching, academic publishing

    • Designed engaging online and in-person coursework using AI and neural networks

  • 📐 High School Mathematics Teacher (2004–2018)
    Sliven, Bulgaria

    • Enhanced classroom engagement and collaborated in school-wide academic initiatives

  • 💻 Developer, Proteus Solutions GBR, Germany (2003–2013)

    • Process optimization, task delegation, and interdepartmental coordination

  • ⚡ Teacher, Electrical Engineering High School (1995–2004)

    • Led extracurricular activities and mentored students

  • 🔧 Developer, R&ES, Germany (1998–2003)

    • Focus on analytical problem-solving and collaborative development

🏅 Awards & Honors:

  • 🏅 Marie Curie Award (1995)

  • 🎓 Multiple academic scholarships for excellence

  • 🏆 Professional Engineering (PE) License – National Council of Examiners for Engineering and Surveying

  • 🧠 Member of IEEE, Rotary International, and Association of Information Technology Professionals

Publication Top Notes:

Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers

Mathematical Modeling based on Neural Network Learning for Object Recognition in Automated Systems

Urban Information Infrastructure Modal Interface Construction Algorithm

Optimizing the Energy Efficiency of a Lighting Network using Graph Theory

Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks

Practical stability with respect to h-manifolds for impulsive control functional differential equations with variable impulsive perturbations

Technologies for the introduction of digitalized cultural heritage to visually impaired people