Peng Yingsheng | Edge Computing | Best Researcher Award

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Dr. Peng Yingsheng | Edge Computing | Best Researcher Award

Dr. Peng Yingsheng | Sun Yat-sen University | China

Dr. Peng Yingsheng is an emerging researcher specializing in cutting-edge wireless communication technologies, with a strong focus on mobile edge computing, reinforcement learning, and intelligent reflection surfaces. His work explores the integration of artificial intelligence and advanced signal processing to enhance network efficiency, adaptability, and resource allocation in next-generation communication systems. Through his research, Dr. Peng Yingsheng contributes to optimizing network architectures that support low-latency, high-reliability, and energy-efficient communications, crucial for the development of 6G and intelligent Internet of Things (IoT) networks. He has been actively involved in projects and collaborations aimed at addressing computational challenges in edge networks by leveraging learning-based strategies for dynamic resource management and environment-aware communication optimization. His studies on intelligent reflection surfaces advance the understanding of how reconfigurable wireless environments can improve communication reliability and spectral efficiency. Dr. Peng Yingsheng ’s interdisciplinary expertise bridges theory and application, fostering innovations that enhance the intelligence, flexibility, and sustainability of wireless systems. His research outcomes are relevant to both academic and industrial domains, contributing to the evolution of intelligent communication infrastructures that underpin future smart cities, autonomous systems, and pervasive computing environments.

Profiles: Google Scholar

Featured Publication 

Peng, Y., Liu, Y., & Zhang, H. (2021). Deep reinforcement learning based path planning for UAV-assisted edge computing networks. IEEE Wireless Communications and Networking Conference (WCNC), 1–6.

Peng, Y., Liu, Y., Li, D., & Zhang, H. (2022). Deep reinforcement learning based freshness-aware path planning for UAV-assisted edge computing networks with device mobility.Remote Sensing, 14(16), 4016.

He, T., Peng, Y., Liu, Y., & Song, H. (2024). AoI-oriented resource allocation for NOMA-based wireless powered cognitive radio networks based on multi-agent deep reinforcement learning. IEEE Access, 12, 69738–69752.

Peng, Y., Duan, J., Zhang, J., Li, W., Liu, Y., & Jiang, F. (2024). Stochastic long-term energy optimization in digital twin-assisted heterogeneous edge networks. IEEE Journal on Selected Areas in Communications.

Qi, H., Peng, Y., & Zhang, H. (2022). Performance analysis for wireless-powered IoT networks with hybrid non-orthogonal multiple access. Journal of Smart Environments and Green Computing, 2(3), 105–125.

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.

Maurizio D’Arienzo | Computer Network | Best Researcher Award

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Assoc. Prof. Dr. Maurizio D’Arienzo | Computer Network | Best Researcher Award

Assoc. Prof. Dr. Maurizio D’Arienzo, University of Campania “L. Vanvitelli”, Italy

Dr. Maurizio D’Arienzo is an accomplished academic and researcher currently serving as an Associate Professor at the Università della Campania “L. Vanvitelli” in Italy. His career spans over two decades, marked by significant contributions to the field of computer networks, particularly in Quality of Service (QoS), software-defined networks, and collaborative diagnosis frameworks. With a distinguished record of research, teaching, and international collaborations, Dr. D’Arienzo has emerged as a prominent figure in the intersection of information engineering and digital transformation. He holds a reputable position in both academia and applied research through his extensive involvement in European and national research projects and his influential presence in international scientific communities.

🌍 Professional Profile

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Dr. Maurizio D’Arienzo exemplifies academic excellence, interdisciplinary research innovation, and international collaboration. With a strong publication record, impactful teaching, and extensive involvement in pioneering research projects—particularly in the fields of computer networks, quality of service, and emerging technologies like AI and blockchain—Dr. D’Arienzo has significantly advanced the frontiers of information and communication technologies. His contributions have not only garnered academic recognition but have also demonstrated practical relevance in real-world systems. For these reasons, Dr. D’Arienzo is highly deserving of the Best Researcher Award, and his nomination stands as a testament to his sustained commitment to excellence in research, education, and service to the scientific community.

🎓 Education

Dr. D’Arienzo earned his Ph.D. in Information Technology Engineering from the University “Federico II” of Naples in February 2003. His doctoral thesis focused on the “Deployment of Flexible Services over Programmable Networks,” reflecting his early engagement with adaptive network infrastructure. Prior to this, he obtained his Laurea Degree in Electronic Engineering from the same university in June 1999, where he developed an API for Quality of Service control in video-streaming applications. These foundational academic pursuits laid the groundwork for a research career rooted in real-world applicability and future-oriented network architectures.

💼 Experience

Dr. D’Arienzo’s professional journey began with research collaborations under European framework projects and expanded into prominent fellowships in Italy and the UK. He served as a Research Fellow at Imperial College London from 2005 to 2006, engaging in EPSRC-funded research on self-aware networks. From 2006 to 2023, he held a permanent position as Assistant Professor at the Department of Political Science, Università della Campania. He has contributed to diverse projects like Smarthealth 2.0, PRIN, and PATTERN AI, where his work centered around network security, digital experience testing in 5G environments, and blockchain-integrated privacy models. His leadership in digital transformation projects with institutions like Banco Napoli Foundation underscores his ability to bridge academic innovation with institutional application.

🔬 Research Focus

Dr. D’Arienzo’s research is deeply embedded in computer networks, with a core focus on Quality of Service (QoS) mechanisms, scalable architectures, and adaptive protocol design. He has significantly contributed to the theoretical and experimental validation of communication models supporting multi-service integration. His more recent research explores game-theoretical approaches in sensor network coordination, algorithmic resilience in software-defined networking (SDN), and the security of digital infrastructures. His global academic collaborations further enriched his approach, enhancing innovation in network protocol research and experimentation.

🏅 Awards and Honors

Dr. D’Arienzo has been recognized multiple times for his scholarly contributions. He received the Best Paper Award at AFIN 2010 for the work titled “Smoothing selfishness by isolating non-cooperative nodes in wireless ad hoc networks”, and again at IEEE Symposium 2010 for the development of UANM, a unified architecture for network measurement. His continued excellence was acknowledged in 2017 at AFIN for a framework facilitating dynamic deployment in wireless sensor networks. Furthermore, his certification as a reviewer and active participation in over two dozen international conference committees highlight his esteemed role in the peer review ecosystem.

📚 Publication Top Notes

An Experimental Comparison of Basic Device Localization Systems in Wireless Sensor Networks
Journal: Network
Date: April 14, 2025
DOI: 10.3390/network5020011
Contributors: Maurizio D’Arienzo
Summary: This article explores the performance of several basic device localization systems in the context of wireless sensor networks (WSNs). It experimentally compares key techniques based on metrics such as energy efficiency, accuracy, and deployment complexity. The study provides insights into choosing suitable localization methods for various WSN deployment scenarios, emphasizing trade-offs between precision and resource usage.

A Cost Effective Solution for the Deployment of Wireless Sensor Networks
Journal: International Journal of Mobile Network Design and Innovation, 2019
DOI: 10.1504/ijmndi.2019.10027010
ISSN: 1744-2869
Contributors: M. D’Arienzo, S.P. Romano
Summary: This study proposes a low-cost strategy for deploying wireless sensor networks with minimal overhead. It introduces a deployment framework that balances energy consumption, network coverage, and fault tolerance. The methodology integrates hardware constraints and energy-aware protocols to optimize node placement and connectivity, making it suitable for environmental and structural monitoring applications.

GOSPF: An Energy Efficient Implementation of the OSPF Routing Protocol
Journal: Journal of Network and Computer Applications, 2016
DOI: 10.1016/j.jnca.2016.07.011
EID: 2-s2.0-84985990205
Contributors: D’Arienzo, M.; Romano, S.P.
Summary: The paper presents GOSPF, a green-oriented enhancement of the OSPF (Open Shortest Path First) routing protocol, tailored for energy efficiency in IP-based sensor networks. Through simulations and practical analysis, it demonstrates substantial energy savings while maintaining high routing performance, offering a viable solution for green network design in dynamic environments.

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications
Conference: 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2013)
DOI: 10.1109/WAINA.2013.33
EID: 2-s2.0-84881435314
Contributors: Darienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: This conference paper evaluates energy usage patterns in mobile sensor nodes within environmental WSNs. By proposing a simulation model and real-world testing scenarios, the authors quantify how mobility affects power consumption and propose strategies for optimizing operational lifespans in long-term monitoring setups.

Petri Net Based Evaluation of Energy Consumption in Wireless Sensor Nodes
Journal: Journal of High Speed Networks, 2013
DOI: 10.3233/JHS-130482
EID: 2-s2.0-84892702986
Contributors: D’Arienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: Utilizing Petri nets, this paper models the energy consumption behaviors of sensor nodes within WSNs. The approach allows for detailed representation of node states and transitions, providing designers with a tool for simulating and analyzing energy dynamics under different protocol and application conditions.

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 Note

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