Prof. Dr. Dongxing Song | Machine Learning | Best Researcher Award-3904

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Prof. Dr. Dongxing Song | Machine Learning | Best Researcher Award

Prof. Dr. Dongxing Song, Zhengzhou University, China

Prof. Dr. Dongxing Song is an innovative researcher in power engineering and thermophysics, currently serving as a Research Fellow at Zhengzhou University’s School of Mechanics and Safety Engineering. He earned his doctoral degree from Tsinghua University and previously studied at Xi’an Jiaotong University and Central South University. His expertise lies in nanofluid dynamics, ionic thermoelectric conversion, and energy system optimization. Dr. Song’s research integrates machine learning with thermodynamics, pushing boundaries in sustainable energy technologies. His work has been published in top-tier journals such as Joule and Cell Reports Physical Science, gaining recognition for both originality and technical depth. Driven by scientific rigor and curiosity, Dr. Song continues to shape future solutions for clean energy and advanced material systems. ⚛️🔬🌱

🌍 Professional Profile 

Orcid

Google Scholar

🏆 Suitability for Best Researcher Award 

Prof. Dr. Dongxing Song is a standout candidate for the Best Researcher Award due to his cutting-edge work in ionic thermoelectric energy conversion and nanoscale heat transfer. His publications in high-impact journals, including Joule and Cell Reports Physical Science, demonstrate his role in shaping the future of clean and efficient energy generation. Dr. Song has independently led national-level research projects supported by the NSFC and China Postdoctoral Science Foundation, focusing on ion-electron coupling mechanisms and dynamic heat-mass transport. His interdisciplinary approach—blending thermophysics, machine learning, and materials science—makes him a trailblazer in green energy innovation. His research not only advances scientific understanding but also offers scalable solutions for low-grade waste heat recovery. 🔋🏅🌍

🎓 Education

Prof. Dr. Dongxing Song holds a robust academic background in power engineering and thermophysics. He completed his Ph.D. at Tsinghua University (2018–2022) under Prof. Weigang Ma, following his Master’s studies at Xi’an Jiaotong University (2015–2018) under Prof. Dengwei Jing. His foundational education in Thermal Energy and Power Engineering was completed at Central South University (2011–2015), where he was mentored by Dengwei Jing and Jianzhi Zhang. Throughout his academic journey, Dr. Song developed deep expertise in energy conversion, ionic transport, and thermodynamic modeling. His cross-institutional training at China’s most prestigious engineering schools laid the groundwork for his innovative and interdisciplinary research in the clean energy domain. 🎓📘⚙️

💼 Experience

Since February 2022, Dr. Dongxing Song has served as a Research Fellow at the School of Mechanics and Safety Engineering, Zhengzhou University, contributing significantly to ionic thermoelectric research. He previously pursued advanced research at Tsinghua University, one of China’s top engineering institutions, from 2018 to 2022. His earlier academic appointments include graduate research at Xi’an Jiaotong University and Central South University, where he gained hands-on experience in power engineering, energy optimization, and thermophysical modeling. In every role, Dr. Song has demonstrated scientific leadership, managing national-level projects and publishing influential research. His experience reflects a well-rounded career rooted in high-impact research and technological innovation in sustainable energy. 🧑‍🔬🔋📈

🏅 Awards and Honors

Prof. Dr. Dongxing Song has received prestigious grants and recognition from leading national institutions. He is the Principal Investigator of a National Natural Science Foundation of China (NSFC) Original Exploration Program Project, as well as multiple China Postdoctoral Science Foundation awards, including the Innovative Talents Grant (BX20220275). His work on ion thermoelectric conversion received a high recommendation from Joule Preview, marking him as a rising star in energy systems innovation. Dr. Song’s publications in top-impact journals and his ability to secure competitive funding reflect his academic excellence and research potential. These accolades highlight his position as a thought leader in the next generation of thermophysical science and energy innovation. 🥇🏛️📚

🔬 Research Focus

Dr. Dongxing Song’s research centers on the optimization of power generation systems for low-grade waste heat recovery, specifically using ion thermoelectric conversion and salt gradient power. He investigates the fundamental coupling between heat and ion transport and has derived a new expression for the ionic Seebeck coefficient, setting the stage for thermoelectric optimization. His studies also integrate nanofluidic heat transfer, solid-state ion battery transport, and machine learning to enhance the performance of sustainable energy devices. His broader focus includes nanoscale heat and mass transfer, where he explores transport mechanisms across interfaces using simulation and experimental validation. Dr. Song’s pioneering models are helping redefine energy recovery systems with enhanced efficiency and low environmental impact. 🔬♻️🧪

📊 Publication Top Notes

  • Design of Microchannel Heat Sink with Wavy Channel and Its Time-Efficient Optimization with Combined RSM and FVM Methods

    • Citations: 209

    • Year: 2016

  • Optimization of a Circular-Wavy Cavity Filled by Nanofluid under Natural Convection Heat Transfer

    • Citations: 194

    • Year: 2016

  • Optimization of a Lid-Driven T-Shaped Porous Cavity to Improve the Nanofluids Mixed Convection Heat Transfer

    • Citations: 138

    • Year: 2017

  • Prediction of Hydrodynamic and Optical Properties of TiO₂/Water Suspension Considering Particle Size Distribution

    • Citations: 87

    • Year: 2016

  • A Nitrogenous Pre-Intercalation Strategy for the Synthesis of Nitrogen-Doped Ti₃C₂Tₓ MXene with Enhanced Electrochemical Capacitance

    • Citations: 71

    • Year: 2021

 

Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

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Prof. Dr. Jingguo Lv | Network Security | Best Researcher Award

Prof. Dr. Jingguo Lv, Beijing University Of Civil Engineering And Architecture, China

Jingguo Lv is a distinguished professor at the Beijing University of Civil Engineering and Architecture. With a Ph.D. in charting and geographic information science from Beijing Normal University, he has dedicated his career to advancing the fields of remote sensing, digital image processing, and visual tracking. Over the years, he has made significant contributions to research and technology, authoring numerous publications and securing multiple patents. His commitment to education and innovation has established him as a leader in his field.

Professional Profile

orcid

Suitability for Best Researcher Award

Professor Jingguo Lv has demonstrated remarkable achievements in the field of remote sensing, digital image processing, and visual tracking, positioning him as a strong contender for the Best Researcher Award. With over 40 academic articles, four monographs, seven authorized patents, and multiple software copyrights, he has consistently contributed to the academic and industrial advancement of these fields. His ongoing research on multi-source data sharing for power grid engineering and various patented technologies highlights his ability to address complex, real-world challenges using innovative approaches. Furthermore, his leadership in mastering core photogrammetry and remote sensing technologies adds to his contributions in urban remote sensing and disaster monitoring.

 🎓 Education 

Jingguo Lv earned his Ph.D. in charting and geographic information science from Beijing Normal University in 2009. His rigorous academic training equipped him with the knowledge and skills essential for his subsequent career in academia and research. At the Beijing University of Civil Engineering and Architecture, he has not only taught but also inspired countless students. His educational background underpins his research focus, driving innovations in remote sensing and image processing.

💼 Experience 

Since 2009, Jingguo Lv has served as a professor at Beijing University of Civil Engineering and Architecture. His extensive experience includes leading research projects and collaborating with industry partners. He has successfully published over 40 articles and authored four academic monographs, contributing significantly to the field of remote sensing. Additionally, his involvement in consultancy projects and industry collaborations highlights his practical application of academic research, bridging the gap between theory and practice.

 🏅Awards and Honors 

Jingguo Lv’s contributions to science and technology have been recognized through various awards. He holds nine software copyrights and has received several technological awards for his innovations in remote sensing and digital image processing. His work has not only advanced academic knowledge but has also had a tangible impact on industry practices. These honors reflect his commitment to excellence in research and education, marking him as a noteworthy figure in his field.

🌍 Research Focus 

Jingguo Lv’s research centers on remote sensing information extraction, digital image processing, and visual tracking. He is dedicated to developing advanced technologies for data sharing in power grid engineering, utilizing multi-source collaborative data. His ongoing projects aim to enhance the efficiency of data utilization in disaster monitoring and urban studies. By focusing on these areas, he contributes to solving real-world problems through innovative scientific approaches, making significant strides in both academia and industry.

 📖 Publication Top Notes

  • Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration
  • Visual Relationship-Based Identification of Key Construction Scenes on Highway Bridges

Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

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Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

Dr. Roseline Ogundokun, Landmark University Omu-Aran, Nigeria

Roseline Oluwaseun Ogundokun is a distinguished academic and researcher in computer science, born in Zaria, Nigeria. Currently serving as a lecturer and researcher at Landmark University, she specializes in machine learning, artificial intelligence, and computer vision. With a strong commitment to education and innovative research, Roseline has made significant contributions to advancing sustainable development goals through technology. She is also involved in mentoring students in STEM fields and has a passion for fostering future generations of scientists.

Professional Profile

Google Scholar

Researcher Suitability Summary for the Best Researcher Award: Roseline Oluwaseun Ogundokun

Based on her extensive research output, significant contributions to academia, and commitment to mentoring and inclusive practices, Dr. Roseline Oluwaseun Ogundokun is an exemplary candidate for the Best Researcher Award. Her work not only advances the field of Computer Science but also positively impacts society through innovative solutions. Recognizing her achievements with this award would honor her contributions and inspire further excellence in research and education.

🎓 Education

Roseline’s academic journey began with a Bachelor’s degree in Management Information Systems from Covenant University, followed by a Master’s in Computer Science from the University of Ilorin. She is currently pursuing dual PhDs in Computer Science and Multimedia Engineering, expected to be completed in 2022 and 2025, respectively. Her diverse educational background has equipped her with a strong foundation in both theoretical and practical aspects of technology, enabling her to contribute effectively to her field.

 💼 Experience

Roseline has extensive experience in academia, having worked at Landmark University since 2015 as a researcher, lecturer, and administrator. She has taught various courses, including Computer Programming and Software Engineering, while also supervising numerous undergraduate and postgraduate students in innovative research projects. Additionally, she has served as a visiting lecturer at Thomas Adewumi University and the Nigerian Army College of Education, contributing to the development of future tech leaders through her teaching and mentorship.

🏅 Awards and Honors

Roseline’s commitment to research and education has earned her multiple accolades. She has been recognized for her contributions to machine learning and sustainable development, receiving awards from various educational institutions. Her research publications have garnered significant attention, leading to an impressive citation record, reflecting her influence in the academic community. She is also actively involved in mentorship programs, advocating for women’s participation in STEM fields.

🌍 Research Focus

Roseline’s research interests are centered on artificial intelligence, computer vision, and deep learning. She is particularly focused on employing machine learning models to solve real-world problems across various sectors, including healthcare and telecommunications. Her work aims to advance the integration of technology in achieving sustainable development goals, particularly those related to industry, innovation, and infrastructure.

 📖 Publication Tob Notes

Predictive modelling of COVID-19 confirmed cases in Nigeria
Citation Count: 132
IoMT-based wearable body sensors network healthcare monitoring system
Citation Count: 99
Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
Citation Count: 84
Application of big data with fintech in financial services
Citation Count: 78
An enhanced intrusion detection system using particle swarm optimization feature extraction technique
Citation Count: 62

Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

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Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

Prof Dr. Ahmed Ghezal, Department of Mathematics, Abdelhafid Boussouf University Center of Mila, Algeria

Ahmed Ghezal, born on September 21, 1987, in Ain M’lila, Algeria, is a Teaching Researcher holding a University Habilitation in Applied Statistics (May 2018) from USTHB and a Ph.D. in Mathematics specializing in Applied Statistics (May 2015) from UMC. He also earned a Master’s Degree in Mathematics in Probability and Statistics (January 2012) and a Bachelor’s Degree in Mathematics with a focus on Probability and Statistics (June 2009) from UMC. Ahmed has been an Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since May 2018, focusing on studying the probabilistic and statistical properties of linear and nonlinear time series models. His research interests encompass causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators in time series models. 📊

Professional Profile:

Google Scholar

🎓 Education:

Completed his University Habilitation in Applied Statistics from USTHB (May 2018), focusing on Markovian and periodic regime change time series models. Prior to this, he earned a Ph.D. in Mathematics with a specialization in Applied Statistics from UMC (May 2015), where his research delved into asymptotic statistics in Markov-switching bilinear regime change models. He also holds a Master’s Degree in Probability and Statistics (2012) and a Bachelor’s Degree in Mathematics from UMC.

👨‍🏫 Professional Experience:

Currently serving as Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since 2018, and previously as Associate Professor Class B from 2015. He started his academic career as an Assistant Professor at the same university in 2012. Ahmed’s secondary education took place at Chihani Bachir High School in Teleghma, Mila.

📚 Teaching:

Ahmed has taught a variety of courses including Introduction to Random Processes, Ordinary Differential Equations, Inferential Statistics, Analytical Mathematics, Descriptive Statistics, and Complex Analysis.

🔍 Research Area:

His research focuses on the probabilistic and statistical properties of linear and nonlinear time series models. He explores topics such as causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators.

Publication Top Notes:

 

Mr. Saed Turq | Integral Transforms | Best Researcher Award

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Mr. Saed Turq | Integral Transforms | Best Researcher Award

Mr. Saed Turq, Ministry of education, Palestine

Mr. Saed Turq is a dedicated scholar and educator with a robust background in Applied Mathematics 📚. His academic journey includes an MSc. in Applied Mathematics from Palestine Polytechnic University, where he specialized in homotopy type methods for non-linear differential equations. Known for his academic excellence, Mr. Turq’s thesis demonstrated advanced mathematical proficiency, earning him high accolades and a strong GPA. In addition to his scholarly pursuits, he serves as a High School Mathematics Teacher, fostering a passion for mathematics among students since 2017. With skills in SPSS, R, MATLAB, and more, he excels in data analysis and programming, underscoring his commitment to educational excellence and technical prowess.

🌐 Professional Profile:

Google Scholar

Scopus

📚 Education:

Mr. Saed Turq is a dedicated scholar with a strong academic background in Applied Mathematics. He completed his MSc. at Palestine Polytechnic University in Hebron, focusing on homotopy type methods for non-linear differential equations under the supervision of Dr. Ali Zain. His thesis showcased his proficiency in advanced mathematical techniques and earned him a GPA of 87. Previously, he excelled in his BSc. in Applied Mathematics at the same institution, graduating with an outstanding GPA of 87.9. Mr. Turq’s academic journey reflects his commitment to exploring complex mathematical models and their applications.

👨‍🏫 Work Experience:

Mr. Saed Turq is a dedicated educator with a passion for mathematics and teaching. Currently serving as a High School Mathematics Teacher with the Ministry of Education in Hebron since August 2017, he brings enthusiasm and expertise to the classroom. Previously, Mr. Turq has also contributed as a Teaching Assistant at Palestine Polytechnic University, where he supported students in their mathematical studies from January 2017 to January 2018. His commitment to educational excellence and his role in shaping young minds make him a valued member of the academic community in Hebron.

🔧 Skills:

Mr. Saed Turq is a skilled professional proficient in a diverse array of technical and analytical tools. Fluent in Arabic and proficient in English, he brings a strong language base to his work. His computer skills include mastery of SPSS, R, Minitab, C++, and Oracle Database, enabling him to handle complex data analysis and programming tasks with ease. Additionally, he is adept in LaTeX for document preparation, MATLAB for mathematical computing, and HTML for web development. With his comprehensive skill set, Mr. Turq combines analytical rigor with technical proficiency to excel in academic and professional environments alike.

Publication Top Notes:

 

 

 

 

Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

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Mr. Andrew Stewart | Resource Discovery Award | Best Researcher Award

Mr. Andrew Stewart, Museum of New Zealand Te Papa Tongarewa, New Zealand

Mr. Andrew Stewart, a distinguished alumnus of Victoria University of Wellington 🎓, is a prominent figure at the Museum of New Zealand Te Papa Tongarewa. With a robust career spanning from Assistant Curator to his current role as Curator NE (Fishes), Andrew has made remarkable contributions to the museum’s Vertebrates collection, particularly in Fishes. His leadership has seen the expansion of collections, including a pioneering DNA tissue repository and a cutting-edge alcohol storage facility. Andrew’s taxonomic expertise shines through his extensive publications and contributions to “The Fishes of New Zealand,” solidifying his legacy in fish biology and taxonomy. His dedication has earned him prestigious awards, reflecting his profound impact on the field and his effective science communication efforts 🐟.

🌐 Professional Profile:

Orcid

Education and qualifications

Mr. Andrew Stewart is an alumnus of Victoria University of Wellington in Wellington, NZ, where he earned his Bachelor of Science degree 🎓. His educational journey at this esteemed institution equipped him with the foundational knowledge and skills essential for his career path and ongoing professional development.

Employment Summary

  • 2023–present: Curator NE (Fishes), Museum of New Zealand Te Papa Tongarewa
  • 2018–2023: Assistant Curator: Vertebrates (Fishes), Museum of New Zealand Te Papa Tongarewa

Achievements

Andrew has significantly expanded the Fishes collection, developed a large DNA tissue collection, and led the construction of a state-of-the-art alcohol storage facility. He has been a pivotal figure in media interactions related to fish biology and taxonomy, authored substantial sections of “The Fishes of New Zealand,” and published numerous peer-reviewed papers. His taxonomic expertise is widely recognized, and several fish species bear his name in recognition of his contributions.

Awards and Recognition

Andrew has received accolades such as the best oral presentation at the International Biosafety 8th Annual ABSANZ Conference in 2018 and the Royal Zoological Society of N.S.W. Whitley Medal for his book on the Natural History of Australasian Animals. He was also honored with the New Zealand Association of Scientists’ Science Communicator Award in 1996.

Publication Top Notes:

1.  Upside‐down swimming: in situ observations of inverted orientation in Gigantactis, with a new depth record for the Ceratioidei
Year: 2024-03
2.  Dichichthyidae, a New Family of Deepwater Sharks (Carcharhiniformes) from the Indo–West Pacific, with Description of a New Species
Year: 2024-03-28
3.  The first record of Australian flatback mangrove goby Mugilogobius platynotus (Günther 1861) (Gobiidae; Tridentigerinae) from New Zealand
Year: 2022-05-19
4.  A new species of deep-water triplefin (Pisces: Tripterygiidae) in the genus Ruanoho from coastal New Zealand waters
Year: 2021-06-03
5.  First record of male freshwater eels (Anguilla dieffenbachii) caught at sea
Year: 2019-04-03

 

 

 

Academic Leadership in Network Protocols Award

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Academic Leadership in Network Protocols Award

Introduction: Welcome to the Academic Leadership in Network Protocols Award, an esteemed recognition that celebrates individuals who have demonstrated outstanding leadership and scholarly contributions in the dynamic field of network protocols.

Award Eligibility: This award is open to individuals of all ages who have displayed exceptional academic leadership in the realm of network protocols. Nominees should be actively engaged in academic or research institutions.

Qualifications and Publications: Nominees must possess a distinguished academic background with a focus on network protocols. The selection committee will consider the nominee's publications, emphasizing the quality and impact of their contributions to the field.

Requirements for Submission: Nominees are required to submit a comprehensive biography, an abstract highlighting their key academic achievements, and supporting files that showcase their contributions to network protocols.

Evaluation Criteria: Submissions will be evaluated based on the nominee's academic leadership, the impact of their research, and their contributions to the advancement of network protocols. The committee will also consider the nominee's influence on the academic community.

Submission Guidelines:

  • Submit a detailed biography outlining academic achievements.
  • Include an abstract summarizing key contributions to network protocols.
  • Attach supporting files, such as research papers and publications.
  • Ensure all materials are submitted by the specified deadline.

Recognition and Community Impact: The Academic Leadership in Network Protocols Award provides recipients with widespread recognition within the academic and technology communities. The award aims to foster community impact by inspiring future generations of academics in the field of network protocols.

Biography: Nominees are encouraged to submit a detailed biography that outlines their academic journey, notable achievements, and contributions to network protocols.

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Academic Leadership in Network Protocols Award
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Industry Impact Award for Network Innovations
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Business Trailblazer in Network Protocols Award
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Research and Innovation Achievement Award in Networking
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Network Excellence Achievement Award
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Innovation in Networking Award
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Protocol Pioneer Achievement Award
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Academic Excellence in Network Protocol Studies Award
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Innovative Solutions in Network Industries Award
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