Mr. Said Roubyou | Network Economies | Best Researcher Award

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Mr. Said Roubyou | Network Economies | Best Researcher Award

Mr. Said Roubyou, Ibn Tofail University, Morocco

Mr. Said Roubyou is a Ph.D. candidate at the Faculty of Economics and Management, Ibn Tofail University, Kénitra. With a strong academic background in applied and quantitative economics, his journey began with a Bachelor’s in Mathematical Sciences and led to higher studies in Economics and Management. His research delves into macro-monetary policy, fiscal dynamics, and the effects of climate change on economic systems using econometric tools like SVAR and BVAR models. Mr. Roubyou has actively presented at conferences focused on public policy and sustainable development, contributing fresh perspectives on economic resilience. His work bridges theory and policy, making him an emerging voice in network economics and monetary analysis. 📚📊🌍

🌍 Professional Profile 

Google Scholar

🏆 Suitability for Best Researcher Award

Mr. Roubyou’s research demonstrates academic rigor and real-world relevance, aligning perfectly with the goals of the Best Researcher Award. His innovative use of econometric modeling (BVAR, SVAR) to explore Morocco’s fiscal and monetary policy challenges under climate stress showcases both analytical expertise and policy insight. His participation in major academic events and co-authored studies on inflation targeting and fiscal effectiveness reflect a growing impact in the research community. With a sharp focus on network economies and macro-monetary policy, he’s addressing global economic concerns through a regional lens. His trajectory signals thought leadership, and his commitment to evidence-based policymaking positions him as an outstanding nominee for this recognition. 🧠📈💼

🎓 Education

🎓 Ph.D. Candidate (2020–Present)
Faculty of Economics and Management, Ibn Tofail University, Kénitra, Morocco
📘 Master’s in Applied Economics (2014–2017)
Ibn Zohr University, Agadir
📘 Bachelor’s in Economics and Management – Business Management Focus (2013–2014)

His academic path has consistently focused on economic analysis and quantitative tools, culminating in doctoral research that combines monetary policy with macroeconomic resilience. 📖📊🧮

💼 Experience

Mr. Roubyou is an emerging researcher with hands-on experience in economic modeling, conference presentations, and policy-relevant analysis. As a Ph.D. candidate, he is affiliated with Laboratoire des Sciences Économiques et Politiques Publiques (LSEPP), contributing to scholarly debates on fiscal policy and sustainability. His research collaborations with faculty and peers have led to conference presentations and co-authored papers that examine Morocco’s economic policy responses. In addition, his engagement in thematic webinars on water resources and climate impact reflects his interdisciplinary outreach. His skillset includes econometrics, macroeconomic diagnostics, and the use of analytical tools for impact evaluation, strengthening his profile as a young economist ready for regional and global dialogue. 📉🧠📢

🏅 Awards and Honors 

While Mr. Roubyou is in the early stages of his career, he has gained peer recognition through his selection to present at esteemed academic events:

  • 📆 International Conference on Public Policies and Scientific Evidence (Kenitra, Nov 2023)

  • 🌊 Webinar on Water and Desalination in Morocco (Casablanca, Feb 2025)

These invitations are testaments to the value and relevance of his work. His contributions have been acknowledged by senior economists and policy researchers, positioning him for future academic awards and grants. As he continues to publish and contribute to public discourse, he is expected to earn further institutional and international accolades in the domains of economics, sustainability, and policy modeling. 🏆📘🌍

🔬 Research Focus

Mr. Roubyou’s research focuses on the intersection of macroeconomics, monetary policy, and network economies, with an emphasis on quantitative modeling. His work evaluates the efficiency of fiscal tools, the resilience of inflation-targeting frameworks, and the impact of climate variability on macroeconomic indicators, especially in Morocco. Employing SVAR and BVAR econometric methods, he develops models to simulate policy responses and study economic interdependencies. His interests also include policy impact evaluation, monetary transmission mechanisms, and environmental macroeconomics. By bridging economic theory with pressing sustainability issues, Mr. Roubyou aims to inform policymakers and researchers on how to design resilient and inclusive economic systems. 📊💹🌱📈

📊 Publication Top Notes

House Prices and the Effectiveness of Monetary Policy in an Estimated DSGE Model of Morocco

 

 

Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

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Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

Assoc. Prof. Dr. Junguo Shi, Jiangsu University, China

Assoc. Prof. Dr. Junguo Shi is a leading scholar in Industrial Economics and Innovation Studies, specializing in technological advancement, industrial dynamics, and latecomer economic development. He earned his Ph.D. in Economics from Northeastern University, China, and Eindhoven University of Technology, the Netherlands. Currently, he serves as an Associate Professor and Ph.D. Supervisor at Jiangsu University. His research explores disruptive innovation, technological networks, and patent analysis, significantly contributing to the field of economic development and industry transformation. With an extensive academic and research background, Dr. Shi has made substantial contributions to emerging economies and industrial evolution.

Professional Profile:

Google Scholar

🏆 Suitability for Best Researcher Award

Assoc. Prof. Dr. Junguo Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to industrial economics and innovation research. His work on disruptive innovation and industrial evolution has significantly shaped the understanding of technological advancement and latecomer economies. His strong publication record, interdisciplinary expertise, and international collaborations with scholars from China, the Netherlands, and Korea highlight his research excellence. With experience in economic modeling, patent analysis, and industrial transformation, Dr. Shi has developed influential theories that impact both academia and industry, making him highly deserving of this prestigious recognition.

🎓 Education 

Dr. Junguo Shi’s academic journey spans multiple prestigious institutions. He earned his Ph.D. in Economics (2013-2017) from Northeastern University, China, and Eindhoven University of Technology, the Netherlands, specializing in Disruptive Innovation and Industrial Evolution. His dissertation, supervised by Prof. Peili Yu, Guangsheng Sun, Bert Sadowski, and Önder Nomaler, focused on endogenous preference in industrial transformation. Prior to his Ph.D., he obtained a Master’s in Economics (2011-2013) from Northeastern University, where he explored entrepreneurial behavior in pyramid-distributed markets. His academic background combines economic theory, industrial analysis, and technological innovation, positioning him as a leader in his field.

🏢 Work Experience 

Dr. Junguo Shi has an extensive academic career in industrial economics and technological innovation. He is currently an Associate Professor and Ph.D. Supervisor at Jiangsu University, China (2022–present), where he mentors doctoral students and conducts groundbreaking research. Previously, he served as an Assistant Professor (2017–2022) at the same institution. From 2019 to 2021, he was a Postdoctoral Researcher at Seoul National University, Korea, under the supervision of Prof. Keun Lee, focusing on emerging economies and innovation systems. His professional experience integrates theoretical economics, agent-based simulations, and policy-oriented research in global industrial transformation.

🏅 Awards and Honors 

Dr. Junguo Shi has received multiple accolades for his exceptional contributions to industrial economics and innovation research. His research has been recognized at top international conferences and journals, earning him Best Paper Awards and invitations to prestigious research collaborations. He has been a recipient of competitive research grants supporting his work in technological innovation and economic development. His contributions to policy analysis and industrial transformation have also earned recognition from academic institutions and government bodies. With a strong track record of academic excellence and impactful research, Dr. Shi continues to be a leading figure in innovation economics.

🔬 Research Focus 

Dr. Junguo Shi’s research primarily revolves around disruptive innovation, industrial dynamics, and latecomer economic development. His work follows the Neo-Schumpeterian tradition, exploring how emerging economies catch up with technological leaders. He employs agent-based simulations, patent analysis, and technological network modeling to study innovation diffusion and industrial transformation. His research has provided valuable insights into China’s economic growth, examining the role of government policies, firm behavior, and technological trajectories in shaping industrial evolution. Additionally, he investigates entrepreneurial incentives in markets with hierarchical structures, contributing to a deeper understanding of how firms adapt to disruptive technologies. His interdisciplinary approach combines economics, computational modeling, and empirical analysis, making significant contributions to policy-making and industrial strategy. By bridging theoretical frameworks with practical applications, Dr. Shi’s research enhances global discussions on technology-driven economic development.

📚 Publication Top Notes:

  • Title: The Determinant Factors of Business to Business (B2B) E-Commerce Adoption in Small and Medium-Sized Manufacturing Enterprises
    • Year: 2020
    • Citations: 124
  • Title: Exploring the Optical Impact of Information Communication Technology and Economic Growth on CO₂ Emission in BRICS Countries
    • Year: 2023
    • Citations: 44
  • Title: Joint Effects of Ownership and Competition on the Relationship between Innovation and Productivity: Application of the CDM Model to the Chinese Manufacturing Sector
    • Year: 2020
    • Citations: 38
  • Title: Investigating the Impact of Export Product Diversification on Environmental Degradation: Evidence from Chinese Provinces
    • Year: 2023
    • Citations: 31
  • Title: The Role of Economic Growth and Governance on Mineral Rents in Main Critical Minerals Countries
    • Year: 2023
    • Citations: 30

 

Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

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Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

Mr. Sergei Volvenko | The Great St. Petersburg Polytechnical University | Russia

Sergei Volvenko 🎓🔬 is a Senior Researcher at Peter the Great St. Petersburg Polytechnic University, specializing in telecommunication systems, meteor burst communications, and network information technology. With a career spanning over two decades, he has contributed significantly to research, teaching, and international collaborations in space technology 🚀. His expertise extends to digital signal processing, nonorthogonal multifrequency signals, and SEFDM waveform optimization. Volvenko has played a key role in managing R&D projects, fostering academic partnerships, and enhancing telecommunication education 📡. His research has been published in leading journals, making him a prominent figure in the field.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Sergei Volvenko is an exceptional candidate for the Best Researcher Award, given his extensive contributions to the field of telecommunication systems and meteor burst communications. With over two decades of research and academic experience, he has demonstrated a profound impact on both theoretical advancements and practical applications. His expertise in digital signal processing, SEFDM waveform optimization, and nonorthogonal multifrequency signals makes him a leading innovator in network information technology.

Education & Experience

  • 🎓 Tomsk State University – Graduated in Radiophysics and Electronics (1988–1995)
  • 🎓 St. Petersburg State Technical University – Master’s in Digital Signal Processing (1992–1994)
  • 🎓 St. Petersburg State Technical University – Research Student (1995–1997)
  • 🎓 St. Petersburg State Technical University – Ph.D. in Meteor Burst Communication Systems (1997–2000)
  • 📡 Telecommunications Engineer – Karaganda Metallurgical Plant, Kazakhstan (1995)
  • 🔬 Electronics Engineer – St. Petersburg State Technical University (2000–2001)
  • 💻 Computer Programmer – St. Petersburg State Technical University (2001–2002)
  • 🎤 Assistant Lecturer – St. Petersburg State Polytechnic University (2002–2007)
  • 👨‍🏫 Associate Professor – Peter the Great St. Petersburg Polytechnic University (2007–2020)
  • 🚀 Senior Researcher – Peter the Great St. Petersburg Polytechnic University (2020–Present)

Professional Development

Sergei Volvenko has been instrumental in advancing telecommunication technologies 📶, with a focus on research, education, and industry collaboration. As a university professor and researcher, he has designed and taught key courses on network information technology, electric communication networks, and telecommunication fundamentals 📖. His expertise in meteor burst communication systems and spectral efficiency has led to impactful research publications 📑. Volvenko is also engaged in international cooperation in space technology, working with global institutions to develop cutting-edge solutions 🚀. His technical proficiency extends to signal processing, software engineering, and project management, making him a key contributor in the field.

Research Focus

Sergei Volvenko specializes in telecommunication networks, digital signal processing, and meteor burst communication systems 📡. His research explores nonorthogonal multifrequency signals, SEFDM waveform optimization, and coherent detection algorithms 🔬. He has developed simulation models for efficient data transmission and contributed to the advancement of frequency division multiplexing systems 📊. His work is particularly relevant in improving spectral efficiency and network performance, making significant contributions to radio communication, information security, and space technology applications 🌍. Through his research, Volvenko has influenced the development of advanced modulation techniques, low-latency communication protocols, and high-efficiency transmission systems.

Awards & Honors

🏆 Research Excellence Award – Recognized for contributions to meteor burst communication research
🏅 Best Paper Award – Presented at an international telecommunication conference
📜 Distinguished Teaching Award – Honored for excellence in engineering education
🎖️ Innovation Grant – Received funding for advancements in spectral-efficient communication
🌍 International Collaboration Award – Recognized for fostering global research partnerships

Publication Top Notes:

📚 “Quantized Kernel Recursive q-Rényi-like Algorithm” (2025) – 1️⃣ citation 📊
📡 “Application of Convolutional Neural Networks Trained on Optical Images for Object Detection in Radar Images” (2024) – 3️⃣ citations 🎯
📶 “Prototype Filter Design for Effectively Suppressing Out-of-Band Radiation in GFDM Systems” (2023) – 9️⃣ citations 📡
📡 “Evaluation of the Transmission Efficiency of Multi-Frequency Signals with an Unknown Initial Phase in the Meteor Burst Communication System” (Year N/A) – 3️⃣ citations 🔄

 

Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

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Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Southeast University | China

🌟 Sahar Salaheldeen Abdelgader Abbas holds an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, Istanbul, Turkey 🎓. Her research focuses on wireless networks 📡, IoT 🌐, machine learning 🤖, and wireless communications 📶. Passionate about continuous learning 📚, she thrives on challenges and embraces new skills with enthusiasm. 🚀 Sahar’s academic journey includes impactful research on energy efficiency in wireless sensor networks and LTE-A technologies, contributing to esteemed publications. ✍️ Self-motivated, communicative, and driven, she aims to expand her expertise while pursuing innovative solutions in modern communication systems. 💡

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Sahar Salaheldeen Abdelgader Abbas is highly suitable for the Best Researcher Award due to her impactful contributions in the fields of wireless networks, IoT, machine learning, and wireless communications. With an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, her academic foundation is solid, and her research work focuses on energy efficiency in wireless sensor networks and LTE-A technologies. These areas are crucial for advancing the capabilities and sustainability of modern communication systems.

Education 📖 & Experience 👩‍💼 

  • 📜 MSc (Honours) in Electronics & Communications Engineering, Yildiz Technical University, Turkey (2018–2021) – CGPA: 3.57/4.00
    • Thesis: “Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations”
    • Supervisor: Assoc. Prof. Tansal GUCLUOGLU
  • 🎯 BSc (Honours) in Electronics Engineering Technology, University of Gezira, Sudan (2013–2018) – CGPA: 3.85/4.00
    • Thesis: “Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10”
    • Supervisor: Assoc. Prof. Abdallah A. Osman
  • 🏫 Secondary School, Alandalus Private School, Sudan (2011–2013) – Grade: 85.3%
  • 📝 Published research articles in applied sciences and international conferences
  • 🔍 Conducted advanced research on wireless sensor networks and LTE-A technologies

Professional Development 

🚀 Sahar is committed to continuous professional growth through academic research and active participation in scientific conferences 🌍. She has co-authored papers on wireless sensor networks and LTE-A technologies, contributing to global discussions on energy efficiency 📡 and optimization techniques. Her dedication to lifelong learning 📚 drives her to explore emerging trends in IoT 🌐, machine learning 🤖, and wireless communications 📶. With strong analytical skills and a passion for innovation 💡, Sahar embraces every challenge as an opportunity to enhance her knowledge and make a meaningful impact in the tech industry. ✨

Research Focus 

🔬 Sahar’s research focuses on wireless networks 📡, IoT 🌐, and machine learning 🤖, with a special interest in optimizing energy efficiency for wireless sensor networks (WSNs) ⚡. Her work explores advanced techniques to enhance network performance through mobile base station placement optimization 🚀. Additionally, she investigates LTE-A technologies 📶, focusing on downlink throughput analysis for next-generation networks. Sahar’s research contributes to the development of sustainable communication systems 🌱, bridging theoretical models with real-world applications. Her innovative mindset fosters continuous exploration of emerging technologies and their impact on future wireless communication infrastructures. 🌍

Awards & Honors 🏆

  • 🏅 Honours Degree in MSc & BSc with outstanding CGPA
  • 📜 Published in peer-reviewed journals and international conferences
  • 🌟 Recognized for contributions to energy-efficient wireless communication research

Publication Top Notes:

⚡ Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations  📑 Cited by 2
📡 Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications
📶 Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10