Dr. XInbo MA | Machine Learning | Best Researcher Award

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Dr. XInbo MA | Machine Learning | Best Researcher Award

Dr. XInbo MA, Northeastern University, China

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Ma Xinbo is a prominent figure in the field of geotechnical engineering, currently serving as an Associate Professor at the College of Resources and Civil Engineering, Northeastern University, Shenyang, China. His scholarly pursuits focus on the intelligent detection of internal fractures in mine rock masses, utilizing advanced imaging techniques to enhance the safety and efficiency of mining operations.

Profile:

Scopus​

Education:

Professor Ma earned his Ph.D. in Geotechnical Engineering from Northeastern University, Shenyang, China, in 2010. His doctoral research laid the foundation for his ongoing commitment to advancing mining safety through technological innovation.​

Experience:

Throughout his career, Professor Ma has held several academic and research positions. Prior to his current role, he served as a Lecturer and then as an Associate Professor at the same institution. His professional journey reflects a steadfast dedication to both teaching and research in geotechnical engineering.​

Research Interests:

Professor Ma’s research interests are centered around the application of intelligent detection methods in mining engineering. A notable area of his work includes the development of techniques for identifying internal fractures in mine rock masses using borehole camera images. This research aims to improve the understanding of rock mass integrity, which is crucial for the safety and sustainability of mining operations.​

Publications:

Professor Ma Xinbo has contributed to several scholarly publications, including:​

  1. “Abcb1 is Involved in the Efflux of Trivalent Inorganic Arsenic from Brain Microvascular Endothelial Cells” by Man Lv, Ziqiao Guan, Jia Cui, Xinbo Ma, Kunyu Zhang, Xinhua Shao, Meichen Zhang, Yanhui Gao, Yanmei Yang, Xiaona Liu. This study explores the role of Abcb1 in mediating arsenic efflux in brain microvascular endothelial cells. Published in 2024. ​
  2. “Liberal Arts in China’s Modern Universities: Lessons from the Great Catholic Educator and Statesman, Ma Xiangbo” by You Guo Jiang. This article discusses the contributions of Ma Xiangbo to liberal arts education in modern China. Published in Frontiers of Education in China, Volume 7, Issue 3, in 2012. ​
  3. “Catholic Intellectuals in Modern China and Their Bible Translation: Li Wenyu and Ma Xiangbo” by Xiaochun Hong. This paper examines the roles of Li Wenyu and Ma Xiangbo in Bible translation efforts in modern China. Published in the Journal of the Royal Asiatic Society, Volume 33, Issue 2, in 2023.

Awards and Recognitions:

Professor Ma’s excellence in research and academia has been acknowledged through various awards and honors. In 2016, he was honored as an Outstanding Graduate of Dalian Maritime University, reflecting his early commitment to academic excellence. He also received the National Scholarship, awarded to the top 0.2% of students by China’s Ministry of Education, in both 2013 and 2016. These accolades highlight his dedication to his field and his institution.​

Conclusion:

Professor Ma Xinbo’s academic journey and research endeavors underscore his pivotal role in advancing geotechnical engineering, particularly in the realm of mining safety. His innovative approaches to fracture detection and his commitment to scholarly excellence make him a valuable asset to the academic community and a strong candidate for the “Best Researcher Award.”

Prof. Pinghui Wu | Technology | Best Researcher Award

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Prof. Pinghui Wu | Technology | Best Researcher Award

Prof. Pinghui Wu | Technology – Division Chief of Scientific Research at Quanzhou Normal University, China

Prof. Wu Pinghui, a distinguished academic from Quanzhou Normal University, has made remarkable contributions to the fields of advanced optics, materials science, and thermal engineering. With a robust portfolio of research, Wu’s work reflects a passion for innovation and scientific exploration, particularly in areas like metamaterials and solar energy technologies. Known for a collaborative approach, Wu has worked with numerous international researchers, driving forward impactful studies that influence both theoretical and applied sciences.

Profile:

Orcid | Scopus | Google Scholar

Education:

Prof. Wu Pinghui pursued advanced studies in materials science and optical engineering, laying a strong foundation for a career marked by academic excellence and groundbreaking research. The educational journey involved rigorous training in both theoretical principles and practical applications, fostering expertise in cutting-edge technologies. This academic background has been pivotal in shaping Wu’s approach to complex scientific challenges and interdisciplinary collaborations. 🎓

Experience:

With years of dedicated academic service, Wu has held prominent research and teaching positions at Quanzhou Normal University. This experience includes mentoring graduate students, leading research projects, and contributing to curriculum development in scientific disciplines. Wu’s role extends beyond academia, with active participation in international conferences and collaborative research initiatives that span across institutions and countries. 🌍

Research Interests:

Wu’s research interests are diverse, encompassing optical materials, thermal energy systems, and metamaterial-based devices. Key areas include the development of ultra-broadband solar absorbers, terahertz smart devices, and advanced optical reinforcement materials. Wu’s work is characterized by a focus on sustainability, energy efficiency, and the application of novel materials to solve real-world technological problems. 🔬

Awards:

While specific awards are not detailed, Wu’s academic achievements, high citation count, and influential publications underscore a career recognized for excellence. The impact of Wu’s research is reflected in the widespread adoption of scientific findings and contributions to the academic community. 🏆

Selected Publications:

  1. “Highly Localized Linear Array of Optical Rings with Multiple Tunable Degrees of Freedom” (2025) – Optics Communications ✨
  2. “Highly Efficient Color Tuning of Lithium Niobate Nanostructures on Flexible Substrate” (2025) – Materials 🌈
  3. “Ultra-Broadband Solar Absorber and Near-Perfect Thermal Emitter Based on Columnar Titanium Micro-Structure” (2025) – Applied Thermal Engineering ☀️
  4. “Bi-Directional Metamaterial Perfect Absorber Based on Gold Grating and TiO₂-InAs Normal Hexagonal Pattern Film” (2025) – Solar Energy Materials and Solar Cells ⚡
  5. “Thermal Radiation Analysis of a Broadband Solar Energy-Capturing Absorber Using Ti and GaAs” (2025) – Dalton Transactions 🌞
  6. “Ultra-Broadband Absorber and Near-Perfect Thermal Emitter Based on Multi-Layered Grating Structure Design” (2025) – Energy 🔥
  7. “Terahertz Smart Devices Based on Phase Change Material VO₂ and Metamaterial Graphene” (2025) – Optics and Laser Technology 🌐

Cited By: Over 6,610 citations, reflecting the widespread influence and recognition of these works. 📚

Conclusion:

Prof. Wu Pinghui’s academic journey exemplifies a commitment to scientific excellence and innovation. The combination of extensive research output, impactful publications, and interdisciplinary collaborations highlights a career dedicated to advancing knowledge and technology. Wu’s contributions not only enrich the academic community but also inspire future generations of researchers. This nomination for the Best Researcher Award is a testament to the profound impact Wu has made in the scientific world. 🌟

Dr. Naveen Mishra | 6G Networks | Young Scientist Award

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Dr. Naveen Mishra | 6G Networks | Young Scientist Award

Dr. Naveen Mishra, Vellore Institute of Technology, India

Dr. Naveen Mishra is an accomplished Assistant Professor in Communication Engineering at Vellore Institute of Technology University, Tamil Nadu, India. With a solid foundation in Electronics and Communication Engineering, he earned his Bachelor of Technology from College of Engineering and Rural Technology, Meerut. He is currently pursuing a Ph.D. in Electronics Engineering at Indian School of Mines, Dhanbad. Dr. Mishra has extensive experience in antenna measurement, metamaterial structures, and the next-generation communications sector, including 5G/6G technologies. He has contributed significantly to research in microwave and photonics technologies. As an active reviewer for top journals like IEEE Access and International Journal of RF and Microwave Computer-Aided Engineering, Dr. Mishra’s scholarly achievements are recognized internationally. His role in organizing faculty development programs and his engagement in cutting-edge research make him a prominent figure in his field.

🌍 Professional Profile

Orcid

Scopus

Google Scholar

🏆 Suitability for Young Scientist Award

Dr. Naveen Mishra is highly deserving of the Young Scientist Award due to his significant contributions in the field of communication engineering and metamaterials. His research on 5G/6G communications and next-gen communication systems holds great promise for advancing modern technologies. Dr. Mishra has demonstrated exemplary leadership by organizing faculty development programs in microwave and photonics technology. His active role as a reviewer for top-tier journals such as IEEE Access and International Journal of RF and Microwave Computer-Aided Engineering shows his active engagement in the research community. Dr. Mishra’s work on antenna fabrication and measurement in renowned laboratories has added value to the academic and technological advancements in communication systems. His passion for emerging technologies and innovative applications positions him as an ideal candidate for the Young Scientist Award.

🎓 Education 

Dr. Naveen Mishra holds a Bachelor of Technology in Electronics and Communication Engineering from the College of Engineering and Rural Technology, Meerut, completed in 2010. He then pursued a Ph.D. in Electronics Engineering at the Indian School of Mines, Dhanbad, where he is currently a research scholar. His doctoral research focuses on metamaterial structures and their applications in advanced communication systems. During his academic journey, Dr. Mishra has worked on various lab-based projects, including antenna measurement and fabrication at IIT Kanpur and IIT(ISM) Dhanbad, which have enriched his technical skills. His educational background, combined with his active role in research, has prepared him to contribute significantly to next-generation communications and innovative antenna technologies.

💼 Experience 

Dr. Naveen Mishra has valuable teaching and research experience in the field of communication engineering. Since 2019, he has been serving as an Assistant Professor at the Vellore Institute of Technology University, Tamil Nadu, where he teaches subjects related to communication systems, microwave technologies, and electromagnetics. Prior to this, he worked as a Lecturer/Assistant Professor at ABSS Institute of Technology, Meerut (2011–2014), where he taught electronics engineering. Dr. Mishra has also contributed to research at top institutions like IIT Kanpur and IIT(ISM) Dhanbad, focusing on antenna measurement and fabrication. His extensive academic and practical experience has solidified his expertise in metamaterial structures, next-gen communications, and advanced antenna technologies. Additionally, Dr. Mishra actively organizes faculty development programs to keep faculty members updated on the latest trends in microwave and photonics technologies.

🏅 Awards and Honors 

Dr. Naveen Mishra has earned multiple awards and recognition for his exceptional academic and research accomplishments. He qualified the Graduate Aptitude Test in Engineering (GATE) 2013, which paved the way for his research career. During his Ph.D., he received a prestigious fellowship from the Ministry of Human Resource Development (MHRD), Government of India, from January 2014 to August 2018. His contributions to communication engineering have led to an invitation to serve as an active reviewer for prominent journals, including IEEE Access, Progress in Electromagnetic Research, and the International Journal of RF and Microwave Computer-Aided Engineering. Dr. Mishra’s dedication to advancing next-generation communications and photonics technologies has earned him respect in the academic community, along with the responsibility of being a review editor on the editorial board of the System and Test-Bed Design Specialty Section of Frontiers in Communications and Networks.

🔬 Research Focus 

Dr. Naveen Mishra’s primary research focus lies in metamaterial structures and their applications in advanced communication systems. He is particularly interested in the development and optimization of next-generation communication technologies, including 5G/6G systems. Dr. Mishra’s work on microwave technology and photonics is integral to shaping the future of telecommunication networks. His research into metamaterials explores how these materials can be used to enhance the performance of antennas, waveguides, and communication systems, addressing the demands of next-gen communications. Dr. Mishra also investigates the integration of metamaterials in communication networks, focusing on signal transmission efficiency and improved antenna design. His interdisciplinary approach combines electromagnetics, communication theory, and innovative material science, contributing to the evolution of future telecommunication infrastructures.

📚 Publication Top Notes:

  1. Title: An investigation on compact ultra-thin triple band polarization independent metamaterial absorber for microwave frequency applications
    • Cited by: 107
    • Year: 2017
  2. Title: Design and analysis of an ultrathin triple-band polarization independent metamaterial absorber
    • Cited by: 60
    • Year: 2017
  3. Title: A Miniaturized ZOR antenna with enhanced bandwidth for WiMAX applications
    • Cited by: 53
    • Year: 2016
  4. Title: Analysis of a Wideband Circularly Polarized Cylindrical Dielectric Resonator Antenna With Broadside Radiation Coupled With Simple Microstrip Feeding
    • Cited by: 52
    • Year: 2017
  5. Title: Machine Learning Approach for Unmanned Aerial Vehicle’s Path Scheduling and Precise Circle Detection
    • Cited by: 30
    • Year: 2024

 

Dr. Chinenye Azuka | Technology | Best Researcher Award

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Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeria 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

Orcid
Google Scholar

🏆 Suitability for Best Researcher Award 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azuka’s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

🎓 Education 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelor’s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

📚 Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azuka’s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

🏅 Awards and Honors 

Dr. Chinenye Azuka’s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

🔬 Research Focus

Dr. Chinenye Azuka’s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azuka’s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Dr. Xue Zhong | Emerging Trends | Best Scholar Award

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Dr. Xue Zhong | Emerging Trends | Best Scholar Award

Dr. Xue Zhong, South China University of Technology, China

Xue Zhong stands out as a pioneering scholar in landscape architecture and urban climate research. His work integrates multidisciplinary approaches, combining human geography, remote sensing, and AI technologies to address pressing issues in urban thermal environments. His innovative use of UAV-derived multimodal images and high-resolution satellite products marks a significant contribution to the field.

Professional Profile:

Google Scholar

Suitability for the Research for Best Researcher Award

Xue Zhong exemplifies excellence in research with his innovative contributions to landscape architecture and urban climate studies. His groundbreaking work integrates advanced remote sensing technologies and artificial intelligence to address urban thermal environments, showcasing a commitment to both academic rigor and practical impact. His research is not only multidisciplinary but also highly relevant to current environmental challenges.

Academic Background 📚

Xue Zhong’s educational journey is marked by a strong foundation in various fields. As a Ph.D. candidate at South China University of Technology, he has achieved significant recognition for his work on urban micro-scale thermal environments. His studies include advanced coursework at Western University and a dual undergraduate background in Human Geography & Urban-Rural Planning and English Language and Literature. This diverse academic background underpins his innovative approach to research.

Professional Experience 💼

Currently, Xue Zhong is a Ph.D. candidate actively involved in several high-impact research projects. His role in projects funded by prestigious organizations, such as the National Natural Science Foundation of China, highlights his ability to lead and contribute to complex research initiatives. His work as a core member in various research teams underscores his leadership and collaborative skills in advancing knowledge in his field.

Research Interests and Contributions 🔬

Xue Zhong’s research interests are centered on leveraging UAV-derived multimodal images and AI technologies to study urban thermal environments. His work explores the integration of remote sensing and artificial intelligence to enhance the understanding and management of urban climates. This innovative approach positions him at the forefront of research in landscape architecture and urban planning, demonstrating his commitment to advancing both theoretical and practical knowledge.

Awards and Recognitions 🏆

Xue Zhong has garnered notable awards and recognitions for his exceptional research and academic contributions. His work, which bridges multiple disciplines including landscape architecture, urban planning, and remote sensing, has earned him prestigious accolades from academic and research institutions.

Innovations and Impact 🚀

Xue Zhong has made significant strides in integrating advanced technologies with urban climate research, showcasing a blend of innovation and practical application. His work, particularly in utilizing UAV-derived multimodal images for urban thermal environment evaluation, represents a pioneering approach in the field. By leveraging cutting-edge remote sensing technology and AI-driven analysis, Zhong has developed novel methodologies that offer deeper insights into urban heat islands and micro-scale thermal variations.

Publication Top Notes:

  1. “A thermal performance detection method for building envelope based on 3D model generated by UAV thermal imagery”
    Year: 2020
    Journal: Energies
  2. “Empirical models on urban surface emissivity retrieval based on different spectral response functions: A field study”
    Year: 2021
    Journal: Building and Environment
  3. “Investigating the micro-scale thermal effects of natural underlying surfaces on adjacent spaces in a subtropical zone with an optimized method”
    Year: 2022
    Journal: Building and Environment
  4. “Monitoring and diagnostics of buildings’ heat loss based on 3D IR model of multiple buildings”
    Year: 2022
    Journal: Energy and Buildings
  5. “Investigating the effects of surface moisture content on thermal infrared emissivity of urban underlying surfaces”
    Year: 2022
    Journal: Construction and Building Materials
  6. “A retrieval method for land surface temperatures based on UAV broadband thermal infrared images via the three-dimensional look-up table”
    Year: 2022
    Journal: Building and Environment
  7. “An improved model for emissivity retrieval of complex urban surfaces based on spectral indices from UAV”
    Year: 2022
    Journal: Sustainable Cities and Society

 

 

 

 

Prof. Rui Araújo | Fog Computing Award | Best Researcher Award

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Prof. Rui Araújo | Fog Computing Award | Best Researcher Award

Prof. Rui Araújo, University of Coimbra, Portugal

🎓 Prof. Rui Araújo, a distinguished scholar 📚 with a Doctorate and Master’s degree in Electrical Engineering from the University of Coimbra 🇵🇹, is a leading figure in the realm of Automation and Control Systems ⚙️. From his early days as a Tutor to his current role as an Associate Professor, Rui’s commitment to education shines through his unwavering dedication to teaching and mentoring 🎓. In the realm of research 🔬, his expertise spans across Electrotechnical Engineering, Robotics 🤖, and Artificial Intelligence, leading groundbreaking projects in smart manufacturing and industrial automation 🏭. Rui’s illustrious career has been adorned with prestigious awards 🏆, a testament to his profound impact on the field of Electrical Engineering and Automation.

🌐 Professional Profile:

Orcid

Google Scholar

🎓 Education

Rui Alexandre de Matos Araújo is a distinguished scholar with a Doctorate and Master’s degree in Electrical Engineering from the University of Coimbra, Portugal, specializing in Automation and Control Systems. His academic journey began with a Bachelor’s in Electrical Engineering with a focus on Informatics.

💼 Affiliation & Teaching

With a career spanning over two decades, Rui has been an integral part of the University of Coimbra’s Department of Electrical and Computer Engineering. Starting as a Tutor, he advanced to Trainee Assistant, then Assistant Professor, and currently serves as an Associate Professor. His dedication to education is evident in his consistent contributions to teaching and mentoring.

🔬 Research & Projects

Rui’s expertise lies in Electrotechnical Engineering, Electronics, and Informatics, particularly in Automation, Control Systems, Robotics, and Artificial Intelligence. He has led numerous research projects funded by prestigious organizations, focusing on areas such as control design methodologies, artificial intelligence, smart manufacturing, and industrial automation.

🏆 Recognition & Awards

Throughout his career, Rui has been honored with prestigious awards, fellowships, and grants, acknowledging his outstanding contributions to research and education in the field of Electrical Engineering and Automation.

Publication Top Notes:

 

 

 

 

Prof. Minseok Choi | Wireless Caching | Best Researcher Award

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Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi, Kyung Hee University, South Korea

Prof. Minseok Choi is an esteemed Assistant Professor at Kyung Hee University, South Korea, specializing in Wireless Caching Networks 📡, Stochastic Network Optimization 📊, Federated Learning 🤖, Reinforcement Learning 🧠, and Non-Orthogonal Multiple Access (NOMA) 📶. He earned his Ph.D. and M.S. in Electrical Engineering from KAIST, under the mentorship of Prof. Jaekyun Moon. Prof. Choi leads the Wireless Intelligent Network (WIN) Lab, contributing significantly to advancements in wireless communications. His teaching portfolio includes courses on future communication convergence, AI, and wireless networks.

🌐 Professional Profile:

Scopus

Education

  • Ph.D., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Queue-Based Performance Optimization under Latency Constraint in Multi-User Cellular Environments
    Advisor: Prof. Jaekyun Moon
    Aug. 2018
  • M.S., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Soft Information Correlation in Iterative Decoding of LDPC Codes
    Advisor: Prof. Jaekyun Moon
    Feb. 2013

Research Interests

  • Wireless Caching Network
  • Stochastic Network Optimization
  • Federated Learning
  • Reinforcement Learning
  • Non-Orthogonal Multiple Access (NOMA)

Research Experience

  • Assistant Professor, Kyung Hee University
    Department of Electronic Engineering, Wireless Intelligent Network (WIN) Lab.
    Mar. 2022 – Present
  • Assistant Professor, Jeju National University
    Department of Telecommunication Engineering, Wireless Communications and Distributed Systems Lab.
    Mar. 2020 – Feb. 2022

Teaching Experience

  • Kyung Hee University
    • Future Communication Convergence (Spring 2023)
    • Communication Mathematics (Spring 2023)
    • Software Laboratory (Spring 2023)
    • Wireless Network Convergence (Fall 2022)
    • Artificial Intelligence (Fall 2022)
    • Reinforcement Learning (Spring 2022)
    • Adventure Design (Spring 2022, Fall 2022, Spring 2023)

Publication Top Notes:

  1. Title: SWIPT-Enabled NOMA in Distributed Antenna System with Imperfect CSI for Max-Sum-Rate and Max-Min Fairness
    • Journal: IEEE Systems Journal
    • Year: 2023
  2. Title: Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes
    • Journal: ETRI Journal
    • Year: 2023
  3. Title: Energy-Efficient Power Control for Simultaneous Wireless Information and Power Transfer – Nonorthogonal Multiple Access in Distributed Antenna Systems
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2023
  4. Title: Quantum distributed deep learning architectures: Models, discussions, and applications
    • Journal: ICT Express
    • Year: 2023
  5. Title: Optimal Power Allocation and Power Splitting Ratio Assignments for SWIPT-Enabled Orthogonal Multiple Access with Distributed Antenna Systems
    • Journal: Electronics (Switzerland)
    • Year: 2023

 

 

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

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Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Mr. Liu Weicheng | Technology | Best Researcher Award

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Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng, Shandong University of Science and Technology, China

Mr. Liu Weicheng is an accomplished Web Front-end Development Engineer, currently pursuing a Master’s Degree in Ship and Ocean Engineering at Shandong University of Science and Technology. With a Bachelor’s Degree in Automation from the same institution, he brings a wealth of experience in web development, having worked at both Shandong University of Science and Technology. In addition to his professional endeavors, Liu is dedicated to advancing research in areas such as multi-sensor information fusion and communication rate control. His academic excellence, reflected in his impressive GPAs and receipt of the National First-Class Scholarship, underscores his commitment to excellence in both academia and industry. 🌐🚀

Professional Profile:

Orcid

🎓 Educational Background:

  • Master’s Degree: Ship and Ocean Engineering, Shandong University of Science and Technology (2022 – Present)
  • Bachelor’s Degree: Automation, School of Electrical and Automation Engineering, Shandong University of Science and Technology (2018 – 2022)

🏢 Work Experience:

  • Web Front-end Development Engineer, Hangzhou XX Technology Co., Ltd. (2018.12 – Present)
    • Designed, developed, and maintained web and HTML5 products.
    • Developed mobile platform web front-end pages using HTML5 technologies.
    • Created reusable components based on HTML5.0 standards.
  • Web Front-end Development Engineer, Shanghai XX Technology Co., Ltd. (2016.08 – 2018.11)
    • Constructed front-end interfaces for apps and mini-programs.
    • Utilized React Native for front-end development, writing clean, efficient, and testable code.
    • Contributed to the design and technical discussions of core systems to enhance user experience and product usability.

📚 Research Direction:

  • Multi-sensor information fusion
  • Communication rate control based on event-triggered mechanisms
  • Deception and Control of Cyber Deception Attacks
  • Consensus filtering methods for distributed sensor networks

🎓 Academic Achievements:

  • Master’s GPA: 3.8/4
  • Bachelor’s GPA: 4.6/5
  • Coursework includes Signals and Systems, Integrated Navigation, Modern Signal Processing, Data Structure, Matrix Analysis and Applications, Automatic Control Theory, Digital Signals, Analog Signal, Fundamentals of Sensors, Probability and Statistics, Differential Game.

🏅 Honors and Awards:

  • Received National First-Class Scholarship for outstanding academic performance during the second year of undergraduate study (2013.09 – 2014.06).
  • Consistently ranked in the top 10 of the class based on academic performance.

Publication Top Notes:

  • Title: Event-triggered sequential fusion filter for nonlinear multi-sensor system with random packet dropout and composite correlated noise
  • Journal: Digital Signal Processing
  • Publication Date: July 2024

 

 

 

 

 

Prof. Vedat Toğan | Application of AI in Construction Management | Excellence in Innovation

Published on by Network Awards

Prof. Vedat Toğan : Application of AI in Construction Management

Prof. Vedat Toğan, Karadeniz Technical University, Turkey

🌟 Dr. Vedat Togan studied at Karadeniz Technical University (KTU) Civil Engineering Department between 1996-2000. In 2004, he completed his master’s thesis in the building science department of the same university, and received the title of “Master of Civil Engineering”, and in 2009, he completed his doctoral study and received the title of “Doctor” in Civil Engineering. During his doctorate, he took courses related to his doctoral studies at Ruhr University of Bochum, Germany between 2004-2005, and Delft University of Technology, Netherlands, with a TUBITAK scholarship between 2007-2008, respectively. 📚

🔬 After his doctorate; Assistant Professor at Karadeniz Technical University between 2011-2013. In January 2014, he was appointed as “Associate Professor” to the Department of Civil Engineering at KTU. He was appointed as a Professor at the same University in January 2019. Continuing his research at the Department of Civil Engineering at KTU, Dr. Togan has many articles, papers, and book chapters published in national and international conferences, journals, and books related to optimization, multi-objective optimization, optimization techniques, construction management, and artificial intelligence applications.🌐

🎓 Education : 

☀️ Prof. Vedat Toğan has an impressive academic journey that spans across various levels of education in the field of Civil Engineering. His educational odyssey commenced with an undergraduate program at Karadeniz Technical University, where he delved into the intricacies of Civil Engineering from 1997 to 2000. 🏗️ Subsequently, he pursued postgraduate studies at the same institution, further honing his expertise in construction engineering from 2001 to 2004. 📚 His scholarly pursuits reached their pinnacle with a doctorate at the Karadeniz Technical University’s Institute of Science in the realm of Civil Engineering, which he successfully completed from 2004 to 2009. 🏆 Prof. Vedat Toğan’s academic journey is a testament to his commitment to knowledge and excellence in the field of construction engineering. 🌐

Professional Profiles : 🌐

Scopus

Google Scholar

ORCID

Linkedin

🧠 Research Interests 🔬🌐 :

🌍 Prof. Vedat Toğan’s intellectual curiosity extends across a diverse spectrum of research interests, reflecting his multifaceted engagement with the realm of Civil Engineering and related fields. 🌐 His scholarly pursuits encompass the intricate domain of Structural Engineering, where he explores the principles governing the stability and design of structures. 🏗️ With a keen focus on Building Management, he delves into the efficient coordination and administration of construction projects, ensuring optimal functionality and sustainability. 🔬 Moreover, Prof. Toğan navigates the intersection of technology and construction through his exploration of Informatics in Construction Management, leveraging innovative solutions to enhance efficiency and precision in the industry.

🏢 His expertise in Construction Management extends beyond traditional boundaries, encompassing a holistic approach to project oversight and implementation. 🛠️ Lastly, his involvement in Engineering and Technology underscores a commitment to pushing the boundaries of innovation within the field. 🌱 Prof. Vedat Toğan’s expansive research interests underscore his dedication to advancing knowledge and driving progress in the dynamic landscape of Civil Engineering. 🚀

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 22 documents indexed in Scopus.
  • 📊 Citations: A total of 1,149 citations for his publications, reflecting the widespread impact and recognition of Prof. Vedat Toğan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1864 📖
    • h-index: 19 📊
    • i10-index: 29 🔍
  • Since 2018:
    • Citations: 1167 📖
    • h-index: 17 📊
    • i10-index: 24 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1.  Design of Planar Steel Frames using Teaching–Learning Based Optimization

Published in Engineering Structures, 2012; Cited by 320.

2.  An Improved Genetic Algorithm with Initial Population Strategy and Self-Adaptive Member Grouping 

Published in Computers & Structures, 2008; Cited by 308.

3.  Optimization of 3D Trusses with Adaptive Approach in Genetic Algorithms 

Published in Engineering Structures, 2006; Cited by 181.

4.  Simultaneous Size, Shape, and Topology Optimization of Truss Structures using Integrated Particle Swarm Optimizer

Published in Structural and Multidisciplinary Optimization, 2016; Cited by 89.

5.  Interactive Search Algorithm: A New Hybrid Metaheuristic Optimization Algorithm

Published in Engineering Applications of Artificial Intelligence, 2018; Cited by 82.

6.  Sizing and Layout Design of Truss Structures under Dynamic and Static Constraints with an Integrated Particle Swarm Optimization Algorithm

Published in Applied Soft Computing, 2017; Cited by 65.

7.  Time-Cost Trade-Off Optimization of Construction Projects using Teaching Learning Based Optimization

Published in KSCE Journal of Civil Engineering, 2019; Cited by 57.

8.  Stochastic Analysis of Offshore Steel Structures: An Analytical Appraisal

Published in Springer Science & Business Media, 2012; Cited by 50.

9.  An Integrated Reliability-Based Design Optimization of Offshore Towers 

Published in Reliability Engineering & System Safety, 2009; Cited by 49.

10.  Solution of Structural and Mathematical Optimization Problems using a New Hybrid Swarm Intelligence Optimization Algorithm

Published in Advances in Engineering Software, 2019; Cited by 42.