Tatiana Tchemisova Cordeiro | Graph Theory | Women Researcher Award

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Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro | Graph Theory | Women Researcher Award

Associate Professor | University of Aveiro | Portugal 

Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro is a distinguished mathematician and academic leader at the University of Aveiro, Portugal, renowned for her expertise in applied mathematics, optimization, and operational research. She earned her Ph.D. in Physical and Mathematical Sciences from the National Academy of Sciences of Belarus, with degree equivalency recognized by the University of Aveiro, and also holds graduate and master’s degrees in mathematics from Belarusian State University. Fluent in multiple languages, she has built an international academic career through teaching, research, and coordination of numerous Erasmus+ educational innovation projects.Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro has served in key academic roles, including vice-director of the master’s program in mathematics and applications and Erasmus departmental coordinator, while actively promoting interdisciplinary collaboration across Europe and Asia. A senior researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), she has contributed extensively to projects in optimization, control theory, and applied mathematics. Her scholarly influence is reflected in 45 scientific publications, 191 citations across 111 documents, and an h-index of 8, underscoring the academic impact of her research. She is a member of several scientific societies, including the Portuguese Mathematical Society, APDIO, EUROPT, and the EURO WISDOM Forum, where she has held leadership and editorial positions. Through her commitment to research excellence, academic mentorship, and international collaboration, Professor Tchemisova continues to make significant contributions to advancing mathematics and its applications worldwide.

Profile : Scopus | Orcid

Featured Publication 

Dias, D. A., Pita, M., Tchemisova, T., Martins, N., & Cação, I. (Eds.). New approaches to entrepreneurship education: Best practices from European Universities. UA Editora.

Tchemisova, T. V., Torres, D. F., & Plakhov, A. Yu. Dynamic control and optimization, DCO 2021, Aveiro, Portugal, February 3-5, 2021. Selected, revised contributions.

Bykadorov, I., Strsuevich, V. A., & Tchemisova, T. Mathematical optimization theory and operations research: Revised selected papers of the 18th International Conference, MOTOR 2019, Ekaterinburg, Russia. Springer series of Communications in Computer and Information Science (CCIS), 1090.

Plakhov, A., Tchemisova, T., & Freitas, A. Optimization in the natural sciences: Revised selected papers of 30th Euro Mini-Conference EmC-ONS, Aveiro, Portugal, February 5-9, 2014. Springer series of Communications in Computer and Information Science (CCIS), 499.

Tchemisova Cordeiro, T. V., Kharlamova, V. I., Freitas, A., & Plakhov, A. Yu. Equações diferenciais ordinárias: Resumos teóricos, exercícios resolvidos e propostos. UA Editora, Universidade de Aveiro.

Mr. Ning Tian | Systems in Networks | Best Researcher Award

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Mr. Ning Tian | Systems in Networks | Best Researcher Award

Mr. Ning Tian, Northeast Forestry University, China

Mr. Ning Tian is an undergraduate student at the College of Science, Northeast Forestry University, where he specializes in performance analysis and the dynamical properties of systems in networks. Under the guidance of Dr. Gao Shang, he recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. His research focuses on the stability of random systems with feedback control, particularly in the context of coupled oscillators. By employing techniques from graph theory and Lyapunov methods, he investigates the Noise-to-State Stability in Probability (NSSP) for Random Coupled Kuramoto Oscillators with Input Control (RCKOIC). His work contributes to the understanding of stability in random systems, validated through numerical simulations and tests. 📚💡

Publication Profile:

Orcid

Suitability for the Award:

While Mr. Ning Tian’s achievements are remarkable for his academic stage, the Research for Best Researcher Award typically recognizes seasoned researchers with extensive contributions to their fields. However, Mr. Tian’s work stands out due to:

  • The originality and depth of his research.
  • His ability to address complex problems in networked systems as an undergraduate, which is highly commendable.
  • His contribution to developing methodologies that can impact broader applications in performance analysis and dynamical systems.

Academic Background:

Mr. Ning Tian is currently an undergraduate student at the College of Science, Northeast Forestry University. He is under the supervision of Dr. Gao Shang and specializes in the analysis of dynamical properties of systems in networks. 🎓

Research & Achievements:

He has recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. This work explores the stability of random systems with feedback control, specifically in coupled oscillators, using advanced techniques from graph theory and the Lyapunov method. 📚🧑‍🔬

Contributions to Research & Development:

Through his research, Mr. Tian has made significant contributions to the understanding of stability in random coupled systems. His work, which is validated through numerical simulations, enhances the study of noise-to-state stability in complex networks. ⚙️🔬

Publication Top Note:

Title: Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control
Published: November 27, 2024

 

 

Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

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Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

Dr. Abdellah El-Maaroufi, University Mohammed V in Rabat faculty of sciences, Morocco

Dr. Abdellah El-Maaroufi is a researcher at the University Mohammed V in Rabat, Faculty of Sciences, Morocco. He earned a Master’s degree in Renewable Energies and Storage and a Bachelor’s in Physics, Mechanical Energy from the same institution. His Master’s thesis centered on simulating air flow around aerodynamic profiles, while his Bachelor’s project focused on photovoltaic systems. Dr. El-Maaroufi is skilled in various technical tools including SCAPS and ANSYS Fluent. Outside of research, he enjoys sports like football and basketball, as well as reading, drawing, and scientific exploration.

🌐 Professional Profile:

Scopus

🎓 Education:

Dr. Abdellah El-Maaroufi holds a Master’s degree in Renewable Energies and Storage from Université Mohammed V, Faculty of Sciences, Rabat (October 2021). He earned his Bachelor’s in Physics, Mechanical Energy from the same institution (2018-2019), and completed his Baccalauréat in Physics-Chemistry in June 2016.

🔬 Research and Projects:

His Master’s thesis focused on the “Simulation of Air Flow Around an Aerodynamic Profile (NA CA0012)” 🌬️. For his Bachelor’s project, he explored “Photovoltaic Systems: Principles, Materials, and Advanced Technologies” ☀️.

🛠️ Technical Skills:

Dr. El-Maaroufi is proficient in various technical tools including SCAPS, Office Suite, DesignBuilder, AutoCAD, DAMMWERK, WINDOW6, and ANSYS Fluent.

🌟 Interests:

He enjoys regular sports activities such as football and basketball ⚽🏀, and his hobbies include reading, drawing, and scientific research 📚✍️.

Publication Top Notes:

Techno-economic Analysis of a PV/WT/Biomass Off-Grid Hybrid Power System for Rural Electrification in Northern Morocco Using HOMER
  • Publication Year: 2024

 

 

Dr. Meiling He | Network Design Award | Best Researcher Award

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Dr. Meiling He | Network Design Award | Best Researcher Award

Dr. Meiling He, Jiangsu University, China

Meiling He received the Ph.D. degree in logistics engineering from Southwest Jiaotong University, Chengdu, China, in 2010. She is currently an Associate Professor at the School of Automotive and Traffic Engineering, Jiangsu University. She has published over 30 technical papers in international journals and conferences. Her current research interests include logistics system planning, transportation system optimization, and reverse logistics.

🌐 Professional Profile:

Orcid

🎓 Education & Academic Journey

Dr. Meiling He earned her Ph.D. in logistics engineering from Southwest Jiaotong University in 2010, focusing on advancing transportation and logistics systems. Her academic journey has laid a robust foundation in optimizing complex logistical frameworks.

🏢 Current Role & Affiliation

Currently serving as an Associate Professor at Jiangsu University’s School of Automotive and Traffic Engineering, Dr. He brings extensive expertise to her teaching and research endeavors. Her academic home fosters innovation in automotive and traffic engineering disciplines.

📄 Research Contributions

Dr. He has made significant contributions to the field, publishing over 30 papers in esteemed international journals and conferences. Her research spans logistics system planning, transportation system optimization, and the intricacies of reverse logistics, addressing critical challenges in modern supply chain management.

🔍 Research Interests & Focus

Her current research interests encompass the strategic planning and optimization of logistics systems, aiming to enhance efficiency and sustainability in transportation networks. Dr. He’s work is instrumental in shaping future advancements in logistics engineering.

Publication Top Notes:

  • A novel multi-level reverse logistics network design optimization model for waste batteries considering facility technology types
    • Year: 2024
  • Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment
    • Year: 2024
  • Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China’s Major Urban Agglomerations under Carbon Constraints
    • Year: 2024
  • Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows
    • Year: 2024
  • An Adaptive Variable Neighborhood Search Ant Colony Algorithm for Vehicle Routing Problem With Soft Time Windows
    • Year: 2021