Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

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Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

Dr. Abdulrahman Alnaim | Technology – Associate Professor at King Faisal University, Saudi Arabia

Dr. Abdulrahman Khalid Alnaim is an accomplished academic and researcher specializing in computer science and information security. With a strong foundation in computer information systems and management information systems, he has dedicated his career to advancing research in emerging technologies such as cybersecurity, cloud computing, and network architecture. His work is characterized by innovative approaches to securing next-generation networks and optimizing system performance, reflecting a commitment to both academic excellence and practical applications in the tech industry.

Profile:

Google Scholar

Education:

Dr. Alnaim earned his Ph.D. in Computer Science from Florida Atlantic University, USA, where he focused on developing secure and efficient computing models. He also holds a Master’s in Management Information Systems from Nova Southeastern University, USA, which enriched his understanding of integrating technology with business strategies. His academic journey began at King Faisal University, Saudi Arabia, where he completed his Bachelor’s degree in Computer Information Systems, laying the groundwork for his passion for research and technology. This diverse educational background has enabled him to approach complex problems with a multidisciplinary perspective.

Experience:

Dr. Alnaim has served at King Faisal University, Saudi Arabia, in various academic roles. Starting as a Teacher Assistant in 2012, he quickly advanced to become a Lecturer and later an Assistant Professor in the Management Information Systems Department within the School of Business. Throughout his tenure, he has contributed significantly to curriculum development, academic research, and student mentorship. His professional journey reflects a consistent commitment to fostering an environment of academic growth, research innovation, and knowledge dissemination.

Research Interests:

Dr. Alnaim’s research interests lie in the domains of cloud technologies, cybersecurity, and network architecture, with a particular focus on emerging trends like 5G/6G networks, network function virtualization (NFV), and edge computing. His work explores the development of robust security frameworks, optimized resource management strategies, and innovative architectures for next-generation networks. His research not only addresses theoretical challenges but also provides practical solutions for enhancing cybersecurity, system efficiency, and data integrity in complex digital environments.

Awards:

While Dr. Alnaim’s distinguished academic career is marked by numerous achievements, his contributions to research have earned him recognition within the academic community. His work has been cited extensively, reflecting its influence on contemporary studies in cybersecurity and network technologies. His dedication to research excellence is evident through his continuous pursuit of knowledge, innovative problem-solving, and commitment to advancing the field of computer science.

Publications 📚:

  1. “Zero Trust Strategies for Cyber-Physical Systems in 6G Networks” (2025) – Mathematics
    This paper discusses advanced security models tailored for cyber-physical systems in 6G environments. 🚀

  2. “Securing 5G Virtual Networks: A Critical Analysis of SDN, NFV, and Network Slicing Security” (2024) – International Journal of Information Security
    The article provides an in-depth analysis of security vulnerabilities and countermeasures in 5G networks. 🔐

  3. “Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard Framework” (2024) – Sensors
    This research introduces the CyberGuard framework for enhancing trust management in edge and fog computing environments. 🌐

  4. “Network Slicing in 6G: A Strategic Framework for IoT in Smart Cities” (2024) – Sensors
    A strategic approach to optimizing network slicing for IoT applications in smart cities. 🏙️

  5. “Classification of Alzheimer’s Disease Using MRI Data Based on Deep Learning Techniques” (2024) – Journal of King Saud University – Computer and Information Sciences
    This study leverages deep learning models to improve the early detection of Alzheimer’s disease using MRI data. 🧠

  6. “Machine-Learning-Based IoT–Edge Computing Healthcare Solutions” (2023) – Electronics
    Focuses on integrating machine learning with IoT and edge computing to enhance healthcare services. 💡

  7. “A Misuse Pattern for Modifying Non-Control Threats in NFV” (2022) – Future Internet
    Proposes a model to identify and mitigate non-control threats in network function virtualization environments. 🖥️

These publications have collectively garnered significant citations, underscoring their impact on academic research and industry practices. 📈

Conclusion:

Dr. Abdulrahman Khalid Alnaim exemplifies the qualities of an outstanding researcher, with a robust academic background, extensive research contributions, and a commitment to advancing the field of computer science and information security. His work in cybersecurity, cloud technologies, and network architecture has not only enriched academic discourse but also provided practical solutions to real-world challenges.

His innovative approach, combined with a strong publication record and active involvement in academic and research communities, makes him a deserving candidate for the Excellence in Research Award. Dr. Alnaim’s contributions reflect the values of academic rigor, intellectual curiosity, and a relentless pursuit of knowledge that this prestigious award seeks to honor.

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

 

Yency Carolina Vargas Henao | Digital Transformation | Best Researcher Award

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Yency Carolina Vargas Henao | Digital Transformation | Best Researcher Award

Mrs. Yency Carolina Vargas Henao, Université du Québec à Trois-Rivières, Canada.

Yency Carolina Vargas Henao, a master’s student in Industrial Engineering at Université du Québec à Trois-Rivières, specializes in digital transformation in greenhouse agriculture. With a bachelor’s degree in Agro-industrial Engineering from Universidad de Los Llanos, she is dedicated to advancing sustainable agricultural practices through Industry 4.0 technologies. Her research focuses on cost-benefit analysis frameworks for optimizing greenhouse operations. Yency has co-authored a scientific article on cost mapping of digital technologies in controlled agricultural environments, showcasing her expertise in CAPEX and OPEX analysis. Her innovative work contributes to smarter, more efficient, and sustainable agricultural systems. 🌐

Publication Profile

Orcid
Googlescholar

Education & Experience:

📘 Bachelor’s Degree in Agro-industrial Engineering – Universidad de Los Llanos, Colombia
📘 Master’s Degree in Industrial Engineering (In Progress) – Université du Québec à Trois-Rivières
📊 Research Focus – Cost-benefit analysis of Industry 4.0 technologies in greenhouse horticulture
💼 Professional Experience – 3 years in sustainable agricultural development and digital transformation

Suitability for the Award

Mrs. Yency Carolina Vargas Henao, a Master’s student in Industrial Engineering at Université du Québec à Trois-Rivières, excels in digital transformation research for greenhouse agriculture. With a background in Agro-Industrial Engineering, she specializes in cost analysis and the economic optimization of Industry 4.0 technologies. Her co-authored work, “Cost Mapping of Digital Technologies in Greenhouses,” highlights her contributions to mapping CAPEX and OPEX, aiding strategic adoption of IoT, AI, and big data solutions. Yency’s research offers practical frameworks for enhancing efficiency, sustainability, and profitability in agriculture, positioning her as a deserving candidate for the Best Researcher Award.

Professional Development

🔍 Yency’s professional development centers on leveraging advanced technologies to improve agricultural systems. She has mapped cost structures for Industry 4.0 technologies, highlighting CAPEX and OPEX elements, and developed strategies to integrate IoT, AI, and big data for sustainable greenhouse operations. Her work emphasizes optimizing year-round agricultural productivity, especially during high-energy consumption periods, promoting environmentally responsible practices. Yency’s co-authored research on digital cost mapping in agriculture aids stakeholders in strategic decision-making, ensuring technological adoption is both economically viable and sustainable. 🌿💡

Research Focus

🌐 Yency’s research focuses on the digital transformation of greenhouse agriculture through Industry 4.0 technologies. Her work examines integrating IoT, AI, and big data to enhance efficiency and sustainability. She explores the economic implications of adopting smart agricultural technologies, providing a cost-benefit analysis framework. Her research addresses key challenges, offering strategic solutions for optimizing operations during high-energy consumption periods, ensuring both productivity and environmental sustainability. Yency’s insights contribute to the evolution of precision agriculture, aiming to make advanced technology more accessible and impactful in agricultural systems. 🌱📊

Publication Highlights

  • A Comprehensive Cost Mapping of Digital Technologies in Greenhouses (2023)

Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award | 3089

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Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award 

Ms. Zeba Shamsi, National Institute of Technology silchar, India

Dr. Zeba Shamsi is a dedicated researcher and academic currently pursuing her Ph.D. in Computer Science & Engineering at the National Institute of Technology (NIT) Silchar. With a solid foundation in cryptography, network security, and data encryption, she combines her extensive knowledge in computer science with practical research to advance the field. Zeba is fluent in English, Hindi, and Urdu, and her professional journey reflects a strong commitment to both teaching and research.

Professional Profile:

Scopus

Education 🎓

  • Ph.D. (Pursuing) in Computer Science & Engineering from National Institute of Technology, Silchar (2019–Present). Her research areas include cryptography, cryptanalysis, steganography, watermarking, network security, image processing, audio signal processing, and data encryption.
  • M. Tech in Computer Science & Engineering from Al-Falah University, Faridabad, Haryana (2015–2016). Her dissertation focused on cost estimation approaches.
  • B. Tech in Computer Science & Engineering from Assam Don Bosco University, Guwahati, Assam (2010–2014). Her project involved implementing energy efficiency in wireless sensor networks.

Work Experience 💼

  • Research Scholar at National Institute of Technology, Silchar (March 2019–Present), contributing to various research projects in computer science and engineering.
  • Guest Faculty at Maulana Azad National Urdu University (November 2017–March 2019), where she taught courses related to computer science and engineering.

Skills 💻

Zeba possesses expertise in several critical areas including:

  • Cryptography: Advanced techniques for securing communication and data.
  • Network Security: Protecting networks from unauthorized access and attacks.
  • Image and Audio Processing: Techniques for analyzing and modifying images and audio signals.
  • Data Encryption: Methods for encoding data to ensure its privacy and security.
  • Steganography and Watermarking: Techniques for embedding information within other media for secure communication.

Awards and Honors 🏆

  • Recognized for her research contributions in various national and international conferences and journals.
  • Her paper “An Encryption Scheme for Securing Multiple Medical Images” was published in the Journal of Information Security and Applications, and she has received accolades for her innovative approaches in cryptography and security.

Memberships 🌐

  • International Computer Science and Engineering Society (ICSES)
  • PriMera Scientific Publication

Teaching Experience 📚

  • Teaching Assistant at National Institute of Technology Silchar, involved in assisting with coursework and research supervision.
  • Paper Setter and Examiner for various institutions, including MANUU Polytechnic and Al-Falah University, reflecting her role in academic assessment and curriculum development.

Research Focus 🔬

Dr. Zeba Shamsi’s research predominantly focuses on:

  • Cryptography and Cryptanalysis: Developing advanced encryption methods to secure digital communications.
  • Steganography and Watermarking: Techniques for hiding information within other data to ensure secure and covert communication.
  • Network Security: Strategies to protect networks from cyber threats and attacks.
  • Image and Audio Signal Processing: Enhancing and analyzing multimedia data for various applications.
  • Data Encryption: Methods for securing data to prevent unauthorized access and breaches.

Publication Top Notes:

    1. Visually meaningful cipher data concealment
      • Year: 2024
      • Journal: Digital Signal Processing: A Review Journal
    2. Securing encrypted image information in audio data
      • Year: 2023
      • Journal: Multimedia Tools and Applications
    3. Steganalysis on Dual-Layer Security of Messages Using Steganography and Cryptography
      • Year: 2023
      • Journal: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023)
    4. An encryption scheme for securing multiple medical images
      • Year: 2019
      • Journal: Journal of Information Security and Applications
    5. A method for the selection of agile methods using AHP
      • Year: 2017
      • Journal: Advances in Intelligent Systems and Computing

 

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 Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

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Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

Prof Dr. Zhong Su, Beijing Information Science & Technology University, China

Prof. Dr. Zhong Su is a distinguished professor and the Dean of the Academic Committee at Beijing Information Science & Technology University, where he also directs the Beijing Key Laboratory of High Dynamic Navigation Technology. With a robust academic foundation from Beijing Institute of Technology, including a Bachelor’s in Automatic Control, a Master’s in Computer Control, and a Ph.D. in Physical Electronics and Photoelectronics, Prof. Su specializes in autonomous positioning and control for intelligent autonomous systems and robotics. His prolific career includes leading over 40 projects, securing 58 invention patents, and publishing over 110 high-level papers. Recognized with accolades such as National Excellent Teacher and Beijing Scholar, Prof. Su’s work has significantly advanced the fields of image recognition and deep learning, impacting both national and international research landscapes.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Prof. Dr. Zhong Su is a highly suitable candidate for the Research for Best Researcher Award due to his extensive contributions and leadership in the field of Intelligent Autonomous Systems and Robotics. His distinguished career is marked by substantial research achievements, influential academic roles, and significant contributions to national and international projects.

Dean and Professor, Beijing Information Science & Technology University 🎓

Prof. Dr. Zhong Su is a distinguished professor at Beijing Information Science & Technology University and the Dean of the Academic Committee. He also serves as the Director of the Beijing Key Laboratory of High Dynamic Navigation Technology.

Academic Background and Qualifications 📚

Prof. Su completed his Bachelor’s in Automatic Control, Master’s in Computer Control, and Ph.D. in Physical Electronics and Photoelectronics, all from Beijing Institute of Technology. His extensive education underpins his expertise in intelligent autonomous systems and robotics.

Professional Experience 💼

Dr. Su has held significant roles throughout his career, including positions at The State-Owned 5027 Factory, Qinghai Normal University, and Beijing Institute of Information Engineering. Since 2019, he has been a key figure at Beijing Information Science & Technology University.

Research Interests and Contributions 🔬

Prof. Su’s research focuses on autonomous positioning and control within intelligent autonomous systems and robotics. He has led over 40 projects, including national key R&D plans and international cooperation projects. His work has resulted in 58 authorized invention patents, numerous high-level publications, and substantial economic benefits exceeding 3 billion RMB.

Professional Affiliations and Honors 🏆

He is a Vice Chairman of the China Inertial Technology Metrology Technical Committee and has served as an executive director for the China Simulation Federation. Prof. Su has received several accolades, including National Excellent Teacher and Beijing Scholar, and has been recognized for his contributions with multiple prestigious awards.

Innovations and Impact 🚀

Dr. Su has published over 110 high-level papers and 5 monographs, contributing significantly to advancements in image recognition and deep learning for complex environments. His leadership and groundbreaking research continue to impact the fields of autonomous systems and robotics.

 

Publication Top Notes:

  • Title: Structural Optimization and Excitation Method of Metal-Shell Resonator Gyroscope Driven by Composite Electrodes
    • Year: 2023
  • Title: Robust Multi-Constraint Map Matching Algorithm for Personal Inertial Positioning
    • Year: 2023
  • Title: Image Recognition Method for Micropores Inside Small Gas Pipelines
    • Year: 2023
  • Title: Deep Learning-Based Laser and Infrared Composite Imaging for Armor Target Identification and Segmentation in Complex Battlefield Environments
    • Citations: 4
    • Year: 2023
  • Title: Research on Channel Characteristics and Electrode Electrical Performance of Earth Current Field Information Transmission Technology
    • Year: 2023