Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

🎓 Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

💼 Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

🏆 Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

🌟 Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publication Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile 

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Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

 🎓 Education 

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

 💼 Experience 

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

 🏅 Awards and Honors 

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

 🌍 Research Focus 

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.

Publication Top Notes

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network
Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network

 

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C, SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, DEEMED UNIVERSITY, India

Dr. C. Karthikeyan is a distinguished Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, specializing in Artificial Intelligence and Data Science. With over 21 years of teaching experience and 2 years in industry, he has significantly contributed to the academic community. Dr. Karthikeyan holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. He is a prolific researcher, having published 61 papers in reputable journals and secured multiple patents. His commitment to education extends beyond the classroom, as he has taken on leadership roles, including Dean at ISBAT University, Uganda. Passionate about empowering students and enhancing educational quality, Dr. Karthikeyan is dedicated to advancing research and innovation in computer science.

Professional Profile

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Evaluation of Dr. C. Karthikeyan for the Research for Best Researcher Award

Summary of Suitability

Dr. C. Karthikeyan stands out as a highly qualified candidate for the Research for Best Researcher Award due to his extensive academic background and impressive research output. With a Ph.D. in Computer Science and Engineering, he has accumulated over 61 publications in reputed journals, including 15 in SCI and 20 in WoS. His contributions span various areas, particularly in Artificial Intelligence and Data Science, which align with contemporary research trends.

  🎓  Education 

Dr. C. Karthikeyan’s academic journey reflects his commitment to excellence in the field of computer science. He earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Prior to this, he completed his M.E. in Computer Science and Engineering from Vinayaka Missions Research Foundation, Salem, in 2008. His foundational education includes an M.C.A. from the University of Madras, Chennai (2002), and a double major in Physics, earning both an M.Sc. (1997) and a B.Sc. (1995) from the same institution. Dr. Karthikeyan’s diverse educational background equips him with a robust understanding of both theoretical and practical aspects of technology, allowing him to contribute effectively to teaching and research in artificial intelligence and data science.

   🏢  Experience 

Dr. C. Karthikeyan has accumulated over 21 years of teaching experience and 2 years in the industry, making him a seasoned educator and professional. Currently, he serves as a Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, since July 2024. Prior to this, he was a Professor at K.L. University, Vijayawada, from May 2018 to July 2024. His administrative capabilities were showcased during his tenure as Dean at ISBAT University in Uganda, where he led strategic planning and curriculum development. He also held the position of Associate Professor and Head of the Department at Aarupadai Veedu Institute of Technology for 16 years, where he was instrumental in elevating the department’s status and coordinating various academic activities. Additionally, he served as Academics Head at APTECH Computer Education, further enhancing his experience in educational management.

 🏅 Awards and Honors 

Dr. C. Karthikeyan has received numerous awards and recognitions throughout his illustrious career. His research excellence is highlighted by 61 publications in prominent journals, including 15 indexed in SCI and 20 in WoS, showcasing his contributions to artificial intelligence and data science. He has authored two books and contributed chapters to several academic texts, further solidifying his reputation in the field. Dr. Karthikeyan’s innovative spirit is evidenced by his four patents, one of which has been granted, reflecting his commitment to practical applications of research. He is also recognized as a life member of several prestigious professional societies, including IEEE and IACSIT. His proactive involvement in academic committees and continuous professional development exemplifies his dedication to both his field and his students, earning him respect and admiration within the academic community.

Research Focus 

Dr. C. Karthikeyan’s research focus lies primarily in the domains of Artificial Intelligence and Data Science, with a strong emphasis on innovative solutions to real-world problems. His work spans various areas, including machine learning, cognitive computing, and data mining techniques, aimed at enhancing computational efficiency and decision-making processes. He has actively contributed to advancements in automated systems, particularly in healthcare and assistive technologies for visually impaired individuals. Dr. Karthikeyan’s research also investigates the integration of Internet of Things (IoT) with AI to develop smart applications that improve user experiences. His interdisciplinary approach allows him to collaborate with experts in different fields, fostering an environment of innovation and knowledge exchange. Through his research endeavors, he aims to contribute to sustainable development, particularly in renewable energy and smart technology applications, aligning with global efforts towards a more sustainable future.

Publications Top Notes 

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
  • Citations: 154
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
  • Citations: 56
Active vibration control of a full scale aircraft wing using a reconfigurable controller
  • Citations: 41
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
  • Citations: 39
Low rate DDoS mitigation using real-time multi threshold traffic monitoring system
  • Citations: 37