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

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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:

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ORCID

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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

Lisandro von Mühlen | Environmental | Best Researcher Award

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Dr. Lisandro von Mühlen | Environmental | Best Researcher Award

Dr. Lisandro von Mühlen, Federal University of Rio Grande do Sul, Brazil

Dr. Lisandro von Mühlen is a dedicated chemist specializing in analytical chemistry. He currently serves as a Laboratory Technician at the Federal University of Rio Grande do Sul, contributing to the Laboratory of Inspection and Technology of Milk and Dairy Products, Eggs, and Honey within the Veterinary School. Dr. von Mühlen’s professional journey encompasses significant roles in both academia and industry, reflecting his commitment to advancing chemical sciences.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Lisandro von Mühlen

Dr. Lisandro von Mühlen exhibits a strong foundation in analytical chemistry, with meaningful research contributions and international experience. To strengthen his candidacy for the Best Researcher Award, focusing on expanding his publication record and assuming research leadership roles would be beneficial.

Education 🎓

Dr. von Mühlen’s academic path is marked by a strong foundation in chemistry. He earned his Bachelor’s degree in Industrial Chemistry from the Federal University of Santa Maria (UFSM) in 2013, during which he completed a pivotal internship at Petrobras’s CENPES in the Hydrorefining and Special Processes department. He furthered his studies with a Master’s degree in Chemistry from UFSM, focusing on analytical chemistry. His doctoral research at UFSM, completed in 2023, centered on the determination of pharmaceuticals in hospital effluents using advanced UHPLC-MS/MS techniques, under the guidance of Dr. Osmar Damian Prestes.

Experience 🧪

Dr. von Mühlen’s professional experience bridges both industrial and academic settings. From 2013 to 2014, he contributed to Petrobras, focusing on the development and evaluation of catalysts for hydrotreatment processes. He then advanced to roles at Philip Morris Brazil between 2016 and 2019, where he was instrumental in quality control laboratories, ensuring product compliance and safety. Since 2019, he has been a Laboratory Technician at the Federal University of Rio Grande do Sul, where he applies his expertise to the analysis and quality assessment of dairy products, eggs, and honey.

Research Interests 🔬

Dr. von Mühlen’s research interests are deeply rooted in analytical chemistry, with a particular emphasis on environmental applications. He has focused on the detection and quantification of pharmaceutical contaminants in water systems, employing advanced techniques such as UHPLC-MS/MS. His work aims to assess environmental risk quotients and develop miniaturized methods for chemical oxygen demand determination, contributing to more sustainable and efficient analytical practices. Additionally, he has explored the adsorption behaviors of polycyclic aromatic hydrocarbons, enhancing the understanding of pollutant interactions in various matrices.

Awards 🏆

Throughout his career, Dr. von Mühlen has been recognized for his academic excellence and research contributions. He was awarded scholarships from the National Council for Scientific and Technological Development (CNPq) during his undergraduate and master’s studies, acknowledging his potential in scientific research. His doctoral studies were supported by a scholarship from the Coordination for the Improvement of Higher Education Personnel (CAPES), reflecting his commitment to advancing knowledge in analytical chemistry.

Top Noted Publications 📄

Dr. von Mühlen has contributed to several scientific publications that underscore his research endeavors:

  • “Combining Analytical Strategies to Provide Qualitative and Quantitative Analysis and Risk Assessment on Pharmaceuticals and Metabolites in Hospital Wastewaters” (2025) – Processes

    • Focus: Integrated analytical approaches to assess pharmaceutical contaminants in hospital wastewater.
    • Key Contribution: Provides both qualitative and quantitative analysis for effective risk assessment.
    • Application: Environmental pollution control and regulatory compliance.

  • “Miniaturized Method for Chemical Oxygen Demand Determination Using PhotoMetrix PRO Application” (2022) – Molecules

    • Focus: A miniaturized approach to COD analysis.
    • Key Contribution: Enhances efficiency and sustainability in environmental monitoring.
    • Application: Water quality assessment and pollution monitoring.

  • “Determination of the Titratable Acidity and the pH of Wine Based on Potentiometric Flow Injection Analysis” (2013) – Talanta

    • Focus: Potentiometric flow injection analysis for wine acidity and pH measurement.
    • Key Contribution: Contributes to quality control in the beverage industry.
    • Application: Winemaking and food quality assurance.

  • “Efficient Synthesis of 3-Selanyl- and 3-Sulfanylindoles Employing Trichloroisocyanuric Acid and Dichalcogenides” (2012) – Tetrahedron

    • Focus: Synthetic methodologies for indole derivatives.
    • Key Contribution: Advances pharmaceutical chemistry by developing novel compounds.
    • Application: Drug discovery and organic synthesis.

Mrs.Huilan Liu | Defect identification | Best Researcher Award

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Mrs.Huilan Liu | Defect identification | Best Researcher Award

Mrs.Huilan Liu, North China Electric Power University, China

Huilan Liu is a senior engineer at the Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, affiliated with North China Electric Power University (NCEPU), where she began her career as an assistant engineer in 2014. She earned her M.S. in Power System and Automation from NCEPU, Hebei, in 2014 and is currently pursuing a Ph.D. in Electrical Engineering at NCEPU in Beijing. With a strong focus on the monitoring, diagnosis, and signal processing of electrical equipment, Huilan has contributed to multiple advanced research projects, developing innovative methods for identifying faults in high-voltage circuit breakers. Huilan Liu is the corresponding author for numerous peer-reviewed papers and maintains an active role in shaping the future of electrical engineering diagnostics.

Professional Profile

scopus

Summary of Suitability for the Award

Based on the profile and accomplishments of Huilan Liu, she appears to be a highly suitable candidate for the Best Researcher Award. Here’s a summary of her qualifications and contributions, along with a conclusion regarding her candidacy for the award.

🎓Education 

Huilan Liu received her Master of Science degree in Power System and Automation from North China Electric Power University, Hebei, China, in 2014. Currently, she is pursuing her Ph.D. degree in Electrical Engineering from the same prestigious institution, located in Beijing. Her academic journey has been focused on power systems, with an emphasis on condition monitoring, diagnostics, and automation for electrical equipment. During her graduate studies, she honed her expertise in signal processing and analysis, particularly in the context of high-voltage systems. Her Ph.D. research involves advanced methods of fault detection for power transmission equipment, employing cutting-edge algorithms and innovative monitoring techniques. Huilan’s academic achievements have been consistently accompanied by rigorous research, which has significantly impacted the understanding of electrical equipment fault diagnostics and condition monitoring in the field of electrical engineering.

 💼  Experience 

Huilan Liu started her professional career in 2014 as an assistant engineer at the Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense at North China Electric Power University (NCEPU). After two years in this role, she advanced to the position of senior engineer, where she currently leads research initiatives focused on the fault diagnosis and monitoring of high-voltage circuit breakers. Her extensive experience includes the development of diagnostic algorithms and methods for analyzing electrical signals, with a particular focus on vibration and current signals in circuit breakers. In her senior engineering role, Huilan has also been instrumental in integrating advanced signal processing techniques into practical applications for condition monitoring. Her work contributes to the safety and reliability of power transmission systems and supports the broader field of electrical power engineering.

 🏅 Awards and Honors 

Huilan Liu has received numerous recognitions for her groundbreaking research and contributions to the field of electrical engineering. As a senior engineer at North China Electric Power University, she has been honored with several institutional awards for her research on condition monitoring and fault diagnostics of high-voltage circuit breakers. Her work on innovative methods for diagnosing mechanical and electrical faults has also earned her accolades in various technical conferences and journals, solidifying her reputation as a leading researcher in her field. In addition, Huilan has received commendations for her academic contributions, including the development of advanced diagnostic techniques for power transmission equipment. Her publications in high-impact journals and participation in international conferences have further cemented her standing as an expert in electrical power systems and automation.

 🌍   Research Focus 

Huilan Liu’s research focuses on condition monitoring and diagnosis for electrical equipment, particularly high-voltage circuit breakers. She specializes in signal processing and analysis, developing innovative methods to detect and classify mechanical and electrical faults in circuit breakers. Her work integrates vibration signals, current signals, and advanced algorithms to monitor the health of critical power transmission equipment. Through techniques like time-reference-distance analysis, shape entropy algorithms, and recurrence quantitative analysis, Huilan contributes to improving the reliability and safety of power systems. Her research aims to develop fault identification methods that can be implemented in real-world power systems, helping prevent equipment failure and improve the efficiency of power transmission networks. Huilan’s work has a significant impact on the electrical engineering field, particularly in the areas of power system diagnostics and automation.

📖 Publication Top Notes

Circuit Breaker Operating State Identification Method Based on Optimized Vibration Signal Chaotic Attractor Characteristics by Action Sequence
Circuit Breaker State Identification Method Based on Tracing Spring Deformation Process and Recurrence Quantitative Analysis of Vibration Signals
Review of Research on Contact Ablation and Electrical Life Assessment of High-voltage Circuit Breakers
Design and Analysis of a New Feature Optimization Method for Circuit Breakers Defect Identification
Energy Storage State Identification Method of High-voltage Circuit Breaker Based on Multi-domain Feature Combination of Vibration and Current Signals

Prof.Ling-Bao Xing | Gas Sensors | Best Researcher Award

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Prof. Ling-Bao Xing | Gas Sensors | Best Researcher Award

Prof Ling-Bao Xing, Shandong University of Technology, China

Ling-Bao Xing, Ph.D., is an esteemed professor at the School of Chemistry and Chemical Engineering, Shandong University of Technology, China. With extensive expertise in supramolecular photochemistry and organic frameworks, Dr. Xing has contributed significantly to research in light-harvesting, self-assembly, and energy transfer systems. He has established himself as a leading figure in the field of photocatalysis, focusing on supramolecular polymers and their applications. As a prolific researcher, Dr. Xing has published numerous papers in prestigious journals, reflecting his deep commitment to advancing renewable energy integration through cutting-edge chemistry.

Profesional Profile

scopus

Summary of Suitability for Best Researcher Award: Ling-Bao Xing

Dr. Ling-Bao Xing, a Ph.D. in Organic Chemistry from Shandong University of Technology, is a highly qualified candidate for the Best Researcher Award based on his significant research contributions. His work primarily focuses on supramolecular photochemistry, self-assembly, polymers, organic frameworks, photocatalysis, and energy transfer all advanced and impactful areas in chemical research.

🎓 Education 

Ling-Bao Xing earned his Ph.D. in Organic Chemistry from Shandong University of Technology, China. His academic journey is marked by a strong foundation in chemistry and chemical engineering, focusing on supramolecular systems and their applications in energy transfer and photocatalysis. Dr. Xing’s educational background also includes an extensive study of self-assembling materials and supramolecular polymers. His thesis explored innovative methodologies in light-harvesting and organic frameworks, positioning him at the forefront of renewable energy research. This academic excellence laid the groundwork for his later accomplishments in the fields of chemistry and energy sciences.

💼 Experience 

Dr. Ling-Bao Xing has built a remarkable career as a researcher and professor at Shandong University of Technology. He has accumulated extensive experience in supramolecular photochemistry, self-assembly, and photocatalysis. His pioneering work on supramolecular organic frameworks and light-harvesting materials has earned him accolades in the academic community. Over the years, Dr. Xing has led multiple national-level research projects and has contributed as the principal investigator in high-impact journals. In addition to his research roles, he is an active mentor to young scholars, fostering innovation in renewable energy integration through supramolecular chemistry.

🏅Awards and Honors 

Dr. Ling-Bao Xing has received numerous awards for his outstanding contributions to supramolecular chemistry and renewable energy integration. Among his many accolades are prestigious national research grants from the Ministry of Science and Technology, China. He has been recognized for his work in photocatalysis, earning international acclaim in journals like ACS Catalysis and ChemSusChem. His impactful research on light-harvesting and energy transfer has also led to several innovation awards. Additionally, Dr. Xing has been invited to present at renowned conferences, reflecting his growing influence in the field of sustainable energy solutions.

 🌍 Research Focus

Dr. Ling-Bao Xing’s research focuses on supramolecular photochemistry, self-assembly, and renewable energy integration. His primary interest lies in developing supramolecular polymers and organic frameworks to enhance energy transfer and light-harvesting processes. By employing cutting-edge photocatalysis techniques, Dr. Xing aims to create sustainable solutions for energy generation and storage. His work on supramolecular systems provides innovative insights into how light energy can be efficiently harnessed and converted into renewable power sources, positioning him as a leader in the global effort toward greener energy technologies.

📖 Publications Top Notes

Tunable multicolor supramolecular assemblies based on phosphorescence cascade energy transfer for photocatalytic organic conversion and anti-counterfeiting
Construction of pyrene-based hydrogen-bonded organic frameworks as photocatalysts for photooxidation of styrene in water
Perylene-Diimide-Based Supramolecular Radical Anion as a Platform for Highly Effective Photoreduction of Inert Sulfoxide to Sulfide
A Highly Efficient Supramolecular Polymer-Based Singlet Oxygen Generator for Photocatalytic Minisci Alkylation
A Hydrogen-Bonded Organic Framework Based on Triphenylamine for Photocatalytic Silane Hydroxylation