Dandan Zhu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Dandan Zhu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Dandan Zhu,China University of Petroleum, Beijing,China

Dr. Dandan Zhu, Associate Professor at China University of Petroleum, Beijing, is a leading researcher in integrating artificial intelligence with petroleum engineering. Her work on intelligent drilling technologies and real-time trajectory control has advanced automation in complex subsurface environments. With over 40 research projects, 39 journal publications, and multiple patents, she bridges theory and field application. Her innovative learning frameworks and strong industry collaborations have significantly contributed to the development of smart drilling systems, reinforcing her candidacy for the Best Researcher Award.

Author Profile

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🎓 Early Academic Pursuits

Dr. Dandan Zhu’s academic journey reflects a deep-rooted passion for engineering and innovation. Her pursuit of excellence began at Beihang University, one of China’s leading institutions in aerospace and engineering, where she earned her Master’s degree in Aircraft Design. This foundational training laid the groundwork for her precision-oriented approach and problem-solving mindset. Driven by a keen interest in cutting-edge technologies and global research exposure, she went on to pursue a Ph.D. in Precision Engineering at the University of Tokyo, Japan. Her doctoral research refined her expertise in high-accuracy systems and complex mechanical processes—skills that would later fuel her contributions in artificial intelligence (AI) and petroleum engineering.

🧑‍💼 Professional Endeavors

Since 2015, Dr. Zhu has served as an Associate Professor at the College of Artificial Intelligence, China University of Petroleum, Beijing (CUPB). In this role, she has emerged as a thought leader and mentor in the field of intelligent energy systems. Her work involves teaching, supervising postgraduate students, and leading several high-impact research initiatives. Dr. Zhu has also built a bridge between academia and industry by actively participating in national-level science and technology programs, NSFC–enterprise joint funding projects, and technical consultations with leading energy companies. Her professional portfolio boasts 40 completed and ongoing research projects and 27 consultancy or industry-driven assignments. These efforts are deeply rooted in real-world challenges, ensuring that her research not only advances academic knowledge but also meets the evolving demands of energy exploration and production sectors.

🧠 Contributions and Research Focus

Dr. Zhu’s core research area lies at the intersection of artificial intelligence and petroleum engineering. Her pioneering work focuses on intelligent drilling systems, real-time wellbore trajectory control, reinforcement learning, and geological modeling. She has developed a robust learning framework that combines offline training, real-time geosteering decision-making, and post-drilling strategy optimization. By leveraging reinforcement learning algorithms and generative simulation environments, Dr. Zhu’s research enhances the adaptability and robustness of drilling operations in geologically uncertain environments. Her research contributions extend beyond theory. Integrated software platforms developed under her leadership have been field-tested in collaboration with major Chinese oil and gas companies, such as CNPC, Sinopec, and CNOOC. These platforms facilitate intelligent automation in subsurface operations, ensuring improved safety, efficiency, and cost-effectiveness.

🏅 Accolades and Recognition

Although Dr. Zhu maintains a modest public profile, her work has earned substantial recognition within academic and professional circles. She has authored 39 papers in reputed journals indexed by SCI and Scopus, and her publications have collectively received over 60 citations since 2020—a testament to their relevance and influence. Her book, published under ISBN: 978-7-3025-3524-9, further underscores her authority in the domain of intelligent drilling technologies. She holds five patents, reflecting her commitment to innovation and practical impact. While she has not yet served on editorial boards, her active participation in international conferences and professional associations such as IEEE, ACM, and SPE demonstrates her ongoing contribution to the global scientific community through peer review and scholarly discourse.

🌍 Impact and Influence

Dr. Zhu’s interdisciplinary collaborations have significantly influenced both academia and industry. Her work has helped develop more intelligent, data-driven petroleum engineering systems, contributing to the broader push for digital transformation in energy exploration. Through partnerships with research institutions and enterprises, she has been instrumental in advancing the application of AI in areas such as hydraulic fracturing, electromagnetic exploration, and 3D geological visualization. Beyond technical outcomes, her projects have delivered impactful results such as enhanced resource recovery, reduced environmental impact, and optimized operational costs—outcomes highly valued by industrial stakeholders. Furthermore, her mentorship of students and young researchers ensures the continuity of innovation and excellence in the field.

🔮 Legacy and Future Contributions

Looking forward, Dr. Zhu is poised to further advance the integration of AI with traditional engineering practices. Her vision includes the development of autonomous drilling systems that can self-optimize and self-correct in real time, even in highly unpredictable geological conditions. She also plans to expand research into simulation-based control frameworks and digital twins, providing a virtual testing ground for future subsurface technologies. With her continued dedication, Dr. Zhu is expected to leave a lasting legacy as a trailblazer in intelligent energy systems. She not only represents the new era of AI-driven engineering but also serves as an inspiration for the next generation of researchers aiming to solve the world’s most pressing energy challenges.

✍️Publication Top Notes

📘End-to-end multiplayer violence detection based on deep 3D CNN

Author: C Li, L Zhu, D Zhu, J Chen, Z Pan, X Li, B Wang

Journal: international conference on network …

Year: 2018

📘PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning

Author: K Zhang, DD Zhu, Q Xu, H Zhou, C Zheng

Journal: international conference on network …arXiv preprint arXiv:2403.02635

Year:  2024

📘An intelligent drilling guide algorithm design framework based on high interactive learning mechanism

Author: Y Zhao, DD Zhu, F Wang, XP Dai, HS Jiao, ZJ Zhou

Journal: Petroleum Science

Year:  2025

Huiqin jia | Engineering | Women Researcher Award | 13437

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Prof. Huiqin jia | Engineering | Women Researcher Award

Prof. Huiqin jia, xi’an shiyou university, China

Prof. Huiqin Jia, a distinguished faculty member at Xi’an Shiyou University, China, is a leading expert in multiphase flow detection methods and related signal processing algorithms. With a Ph.D. earned in 2003 and rich experience across academia and industry, she has spearheaded over 20 high-impact scientific research projects and collaborated with major enterprises such as CNOOC, Sinopec, and PetroChina. Her prolific contributions include 70+ published papers, 20+ patents, and numerous software copyrights. Her innovative work in ultrasound, radio frequency, and optical detection techniques has significantly advanced measurement technologies in the oil and gas sector.

Profile

Scopus

🎓 Early Academic Pursuits

Prof. Huiqin Jia embarked on her academic journey with a solid foundation in engineering and applied sciences. She earned her Ph.D. in 2003, demonstrating early excellence in scientific inquiry and dedication to solving real-world engineering problems. Her passion for technological innovation and multidisciplinary research guided her path toward applied instrumentation and process control — especially in fields closely tied to energy systems and industrial measurement technologies.

During her early academic years, Prof. Jia laid the groundwork for what would become a prolific research career. Her graduate and doctoral work shaped her interest in multiphase flow systems, a complex and essential area for oil, gas, and petrochemical industries.

🏢 Professional Endeavors

Following her doctoral studies, Prof. Jia gained extensive experience in industry, which significantly enriched her practical understanding of engineering challenges. Her transition to academia marked a new chapter, where she blended theoretical insight with field-based application.

As a professor at Xi’an Shiyou University, she has led more than 20 national, provincial, and ministerial research projects, including strategic collaborations with industrial leaders such as CNOOC Oilfield Services, Sinopec, and PetroChina. This strong academia-industry synergy has allowed her to translate scientific theories into commercially viable and technologically advanced products.

Her leadership roles also extend to academic peer review, currently serving as a reviewer for the Journal of Measurement and Control Technology, a testament to her respected authority in the field.

🔬 Contributions and Research Focus

Prof. Jia’s research primarily focuses on multiphase flow detection methods, a challenging area critical to process control in petroleum and chemical industries. She has developed groundbreaking technologies, including:

  • An ultrasound-based detection system for measuring flow characteristics in oil and gas extraction.

  • A radio frequency method for water content measurement.

  • An optical detection system for foam content analysis.

These innovations are not just academic; they are the basis for several instruments now used in industry to improve operational safety, accuracy, and efficiency.

Her contributions have resulted in:

  • Over 70 published research papers, many in high-impact SCI and Scopus-indexed journals.

  • More than 20 authorized invention patents.

  • Over 30 software copyrights.

  • 10 consultancy/industry projects, demonstrating applied impact.

  • One published book with ISBN.

  • 13 citation index entries, marking the influence of her work across scholarly networks.

🏅 Accolades and Recognition

Prof. Jia is widely recognized for her contributions to both science and society. She is a respected member of:

  • The China Petroleum Society

  • The China Instrument and Control Society

Her selection as a nominee for the Women Research Award is a reflection of her role as a trailblazer among women in engineering and instrumentation. Her continued contributions, especially in male-dominated technical fields, highlight her as a role model for aspiring women researchers.

🌍 Impact and Influence

The impact of Prof. Jia’s work goes beyond academic citations. Her innovative measurement tools have real-world utility, enabling better monitoring and control in energy production processes. Her close collaborations with China’s major oil enterprises demonstrate her role in bridging the gap between research and industry, influencing both technological advancement and economic development.

Her consultancy projects not only solve industry-specific problems but also foster long-term research alliances that enable sustainable innovation in the field of process measurement and automation.

🔗 Legacy and Future Contributions

Prof. Huiqin Jia’s legacy is already marked by a blend of academic excellence, industrial collaboration, and technological innovation. Looking forward, she is well-positioned to:

  • Expand research into AI-enhanced signal processing for multiphase systems.

  • Mentor the next generation of female scientists and engineers.

  • Further strengthen the link between academic research and practical industrial solutions.

Her work is setting a high standard for applied instrumentation research in China and internationally, offering innovative solutions to long-standing engineering challenges.

📄 Publication Top Notes

Artificial neural network model based on improved VMD algorithm to monitor sand mass flow rate in natural gas pipeline

Author: H., Jia, , , F., Li, FeHuiqini, … J., Zhao, Jiaxuan, Z., Sun, Zhimeng
Journal: Measurement
Year: 2025

Design and simulation of small-sized antenna in microwave transmission method for water content measurement instrument

Author: H., Jia, Huiqin, D., Wan, Dandan, J., Zhou, Jiacheng, Y., Wei, Yi
Journal: Measurement and
Year: 2024

Yong Li | Engineering | Best Researcher Award | 13407

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Assoc Prof Dr Yong Li | Engineering | Best Researcher Award 

Assoc Prof Dr Yong Li, Fujian Police College, China

Dr. Yong Li is an Associate Professor in the Department of Public Security at Fujian Police College, China, with a strong academic background in Traffic Information Engineering and Control, holding both a Ph.D. and Master’s degree from Beijing Jiaotong University. His research focuses on intelligent transportation systems, electromagnetic tomography, and traffic accident imaging. He has led and participated in several nationally funded projects and published extensively in top-tier journals such as IEEE Transactions and Ultrasonics. Dr. Li also holds multiple patents related to traffic monitoring and sensing technologies, and serves as a thesis supervisor at Fuzhou University, contributing actively to academic mentorship and innovation in traffic safety and public security.

Profile

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🎓 Early Academic Pursuits

Dr. Yong Li’s academic journey showcases a strong foundation in engineering and traffic systems. He began his higher education at Beijing Union University, earning a Bachelor’s degree in Electrical Engineering and Automation between 2011 and 2015. This foundational training set the stage for his specialized focus in traffic and control systems.

Continuing on an ambitious academic path, he pursued both his Master’s (2015–2017) and Ph.D. (2017–2021) degrees in Traffic Information Engineering and Control at Beijing Jiaotong University, one of China’s top institutions in transportation sciences. His graduate studies equipped him with in-depth knowledge in traffic monitoring, signal processing, and system optimization—areas that would become central to his later research.

👨‍🏫 Professional Endeavors

After completing his doctorate, Dr. Li immediately immersed himself in both academic and applied research environments. He initially served as a Researcher at the Human-like Perception Research Center, Zhejiang Laboratory from June to September 2021, contributing to cutting-edge studies in perception technologies.

In November 2021, Dr. Li joined the Department of Public Security at Fujian Police College as a Lecturer, and was later promoted to Associate Professor. His role encompasses teaching, guiding student research, and leading scientific inquiries into intelligent transportation and traffic safety systems. He is also an External Master’s Thesis Supervisor at the College of Big Data and Computer Science, Fuzhou University since December 2021, further reflecting his academic mentorship roles.

🔬 Contributions and Research Focus

Dr. Li has an impressive record of participation in high-level scientific research. His primary focus lies in electromagnetic tomography, traffic accident imaging, and intelligent transportation systems. He has been a Principal Investigator for multiple projects, including:

  • “Large-scale Electromagnetic Tomography for Road Traffic Monitoring” (NSFC Project No. 62301159)

  • “Dual-plane Linear Array Electromagnetic Tomography for Traffic Accident Imaging”

  • “Urban Road Traffic Situation Assessment System” funded by Fujian’s Department of Finance

He is also a core participant in a significant ongoing NSFC project titled “Optimization of Delay Operation in Integrated Subway-Bus Networks in Metropolises”.

His work spans both theoretical modeling and applied systems, focusing on real-time data acquisition, traffic state estimation, and sensor technology for safety enhancement.

🏅 Accolades and Recognition

While explicit awards or honors are not detailed in the provided profile, Dr. Li’s consistent leadership in nationally funded research projects—particularly as a Principal Investigator on NSFC and provincial-level grants—is a strong indicator of peer recognition and institutional trust. His appointment as an Associate Professor within just a few years of completing his Ph.D. further underscores his rising prominence in the field.

🌍 Impact and Influence

Dr. Li’s work has direct societal implications, especially in improving urban traffic safety, accident response efficiency, and transportation infrastructure monitoring. His research contributes to China’s broader smart city initiatives and public security advancements, particularly in densely populated urban areas.

By bridging electrical engineering, traffic systems, and intelligent sensing, Dr. Li plays a pivotal role in making city transportation safer, more responsive, and more technologically advanced.

🚀 Legacy and Future Contributions

Looking forward, Dr. Li is poised to continue expanding the intersection of AI, electromagnetic sensing, and traffic control systems. His current NSFC and provincial projects are likely to yield further innovations in how we understand and manage traffic flow, detect anomalies, and respond to emergencies in real time.

With his expanding role as an educator and mentor, his influence will also be felt through the next generation of public safety and traffic engineering professionals in China. Dr. Li’s combination of academic rigor, inventive spirit, and societal relevance makes him a key figure in the evolution of smart transportation technologies.

📚Publications Top Notes

A Kalman Filtering Method on Time–Frequency Discrimination Analysis

Contributors: Li, Y.; Xiao, F.

Journal: ircuits, Systems, and Signal Processing

Year:  2025

Simulation and analysis on dual-plane linear array electromagnetic tomography

A Fault Diagnosis Method for Turnout Switch Machines Based on Sound Signals

Contributors: Li, Y.; Tao, X.; Sun, Y.
Journal: Electronics (Switzerland)
Year: 2024

zeyad A. H. Qasem | Engineering | Best Researcher Award | 13382

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Dr. zeyad A. H. Qasem | Engineering | Best Researcher Award

Dr. zeyad A. H. Qasem, Donghai Laboratory, Zhejiang University, China

Dr. Zeyad Abdulaziz Hazaea Qasem is a dedicated postdoctoral researcher at Donghai Laboratory, Zhejiang University, China, with a strong background in communication and information engineering. Born in Taiz, Yemen, he holds a Ph.D. from Xiamen University and has conducted advanced research at top Chinese institutions like Peking University and Tsinghua University. With extensive academic and industrial experience—including work with Huawei and several universities—Dr. Qasem’s research spans nano-devices, telecommunications, and digital systems. He is a recipient of the Best Overseas Research Award from Xiamen University and is widely recognized for his innovative contributions to engineering and communication technologies.

Profile

Google Scholar

🌱 Early Academic Pursuits

Dr. Zeyad Abdulaziz Hazaea Qasem’s academic journey began in Taiz, Yemen, where he completed his high secondary education at Al Hurria High School in 2005. From a young age, Dr. Qasem exhibited a strong passion for science and technology, particularly in the field of telecommunications and networking. This passion led him to pursue a Bachelor’s degree in Communication Networking from Djillali Liabés University in Sidi Bel Abbès, Algeria, which he completed in 2010.

Not resting on his laurels, he immediately advanced his education by enrolling in a Master’s program at the same university, specializing in Digital Systems of Telecommunications. He completed his Master’s degree in 2012, further honing his skills in the increasingly vital field of communication engineering.

Driven by a desire for research excellence, Dr. Qasem moved to China in 2017, where he embarked on a Ph.D. in Communication and Information Engineering at Xiamen University. His academic perseverance culminated in a doctoral degree in 2021, during which he laid the foundation for impactful scientific research in communication technologies.

🧑‍💼 Professional Endeavors

Dr. Qasem’s career reflects a rare blend of academic knowledge and practical industry experience. Before his postdoctoral research positions, he held multiple key roles in the telecommunications sector, notably with Huawei Company in Yemen from 2014 to 2017, where he worked as a Core Network Engineer for GSM, CDMA, and LTE technologies. His tenure at Huawei equipped him with invaluable practical insights and earned him the Outstanding Technical Engineer Award in 2016.

Dr. Qasem also contributed to academia as a part-time lecturer at several Yemeni universities, including International Emirate University and LIMKOKWING University of Creative Technology. These roles showcased his commitment to mentoring the next generation of engineers even while pursuing a parallel career in industry.

Since 2022, he has served as a Postdoctoral Research Fellow at Peking University and a Visiting Scholar at the Tsinghua-Berkeley Shenzhen Institute—two of China’s most prestigious institutions. In 2023, he joined the Donghai Laboratory at Zhejiang University, where he currently works on cutting-edge research in nano-devices and communication systems.

🔬 Contributions and Research Focus

Dr. Qasem’s research lies at the intersection of nanotechnology, digital communication systems, and network engineering. His contributions include exploring novel solutions for efficient data transmission, next-generation wireless communication, and nano-device integration.

His doctoral and postdoctoral research focuses on enhancing communication infrastructure and developing futuristic nano-scale technologies for more resilient and efficient systems. His work supports the global demand for faster, more secure, and more intelligent communication systems, making a significant contribution to the digital transformation age.

🏆 Accolades and Recognition

Over the years, Dr. Qasem has been widely recognized for his contributions in both academia and industry. Among his most notable achievements are:

  • 🥇 Best Overseas Research Award (2021) from Xiamen University

  • 🏅 Outstanding Technical Engineer from Huawei (2016)

  • 🎓 Multiple professional certifications, including:

    • Cisco Certified Network Associate (CCNA)

    • Computer Maintenance Diploma (EMICOM Institute, Algeria)

    • Huawei “Train the Trainer” Certification

    • Training in FLUKE NETWORKS (USA)

These accolades not only validate his academic and technical excellence but also highlight his global exposure and adaptability.

🌍 Impact and Influence

Dr. Qasem’s work has left a noticeable footprint on both national and international research platforms. His Google Scholar profile showcases a growing list of publications and citations, reflecting the relevance and application of his research across global scientific communities.

His teaching roles have influenced students in Yemen and China, bridging cultural and academic gaps and promoting the advancement of science and technology in developing nations. As a researcher, he is building technological solutions that promise to revolutionize communication infrastructure, particularly in areas with growing data demands.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Qasem is well-positioned to become a leading global voice in communication and nano-device research. His interdisciplinary approach, combining engineering principles with real-world applications, makes him a valuable asset to the international scientific community.

He aims to expand collaborative research, enhance telecommunication infrastructure for underdeveloped regions, and contribute to the green transition of digital technologies. His current role at Donghai Laboratory opens the door to transformative innovations that could define the next decade of smart connectivity.

Dr. Qasem’s legacy is still in the making, but his vision, determination, and accomplishments already make him a suitable candidate for prestigious research honors, including the Best Researcher Award.

Underwater image transmission using spatial modulation unequal error protection for internet of underwater things

Author: H Esmaiel, ZAH Qasem, H Sun, J Wang, NU Rehman Junejo
Journal: Sensors
Year: 2019

Multi-stage feature extraction and classification for ship-radiated noise

Author: H Esmaiel, D Xie, ZAH Qasem, H Sun, J Qi, J Wang
Journal: Sensors
Year: 2021

Oluwole John Famoriji | Communication Engineering | Best Researcher Award | 13301

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Assoc. Prof. Dr. Oluwole John Famoriji | Communication Engineering | Best Researcher Award 

Assoc. Prof. Dr. Oluwole John Famoriji, Achievers University, Nigeria

Dr. Oluwole John Famoriji is an accomplished academic and professional in the field of Communication Engineering, currently serving as an Associate Professor at Achievers University, Nigeria. With a Ph.D. in Electronic Science and Technology from the University of Science and Technology of China, he has a wealth of expertise in antenna array signal processing, wireless communications, and artificial intelligence. Dr. Famoriji has received numerous accolades, including the 2017 Outstanding Research Assistant award and the 2015 CAS-TWAS PhD President Fellowship. He is a member of various professional bodies, including the Nigerian Society of Engineers (NSE) and the Institute of Electrical and Electronic Engineering (IEEE), and has actively contributed to academic communities through his leadership and review work for prestigious journals.

Profile

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Early Academic Pursuits 🎓

Dr. Oluwole John Famoriji’s academic journey began in Igbajo, Osun State, Nigeria, where he attended Baptist Day School from 1989 to 1995. He laid the foundation of his education in a community that values learning and development. After completing his primary education, he progressed to Kiriji Memorial College, Igbajo, between 1995 and 2001, where his passion for learning and technology continued to grow. Later, he attended Community High School, Igbajo, in 2001–2002, before moving forward with his tertiary education.

Dr. Famoriji’s higher education trajectory was remarkable. He first earned a Bachelor of Engineering (B.Eng.) in Electrical/Electronics Engineering from Ladoke Akintola University of Technology, Ogbomoso, in 2009. His thirst for knowledge didn’t stop there. He pursued a Master of Engineering (M.Eng.) in Communications Engineering from the Federal University of Technology, Akure, in 2014, and went on to earn a Ph.D. in Electronic Science and Technology from the University of Science and Technology of China in 2019. His early academic endeavors reflected his deep commitment to understanding the world of electronics, communication systems, and their applications in modern society. This academic foundation laid the groundwork for his future career as a leading scholar in communication engineering.

Professional Endeavors ⚙️

Dr. Famoriji’s professional journey has been both distinguished and impactful. As a professor at Achievers University, Owo, in Nigeria, Dr. Famoriji is at the forefront of educating the next generation of engineers in the field of Electrical and Information Engineering. His expertise spans areas such as Communication Engineering, Antenna Array Signal Processing, Applied Electromagnetics, Wireless Communications, Soft Computing, and Artificial Intelligence.

Over the years, Dr. Famoriji has made significant strides in both teaching and research. He has worked on several high-level research projects, particularly in the area of antenna systems, wireless communication technologies, and artificial intelligence. These research projects have not only advanced knowledge in his field but also enhanced the technological capabilities of his academic and professional community.

Dr. Famoriji’s professional involvement extends beyond the classroom. He is an active member of the Nigerian Society of Engineers (NSE), the Council of Registered Engineers of Nigeria (COREN), and the Institute of Electrical and Electronic Engineers (IEEE). His involvement with these organizations has facilitated the exchange of ideas, professional growth, and innovation in the field of engineering.

Contributions and Research Focus 📡

Dr. Famoriji’s research is centered around various cutting-edge fields, including antenna array signal processing, wireless communications, applied electromagnetics, and artificial intelligence. His work on antenna array systems, for example, has opened new avenues for the development of more efficient and effective communication systems, which are crucial in today’s fast-evolving technological landscape.

One of his major contributions is his research in RF Propagation and its application in wireless communication systems. This area is critical to ensuring reliable, high-speed communication, especially in remote and urban environments. Additionally, Dr. Famoriji has delved into soft computing and intelligent systems, which are essential for creating smarter, more efficient technologies.

His academic expertise has led to his review and publication of research in several prestigious academic journals, including IEEE Access, IEEE Sensor, Optical Electronics Journal, and Journal of Information Engineering and Applications. These contributions have shaped the discourse within his field, influencing the direction of future research in communication engineering.

Accolades and Recognition 🏅

Dr. Famoriji’s dedication to academic excellence and research has not gone unnoticed. He has received several prestigious awards, including the 2017 Outstanding Research Assistant award from the Micro-/Nano Electronic System Integration R&D Centre (MESIC), University of Science and Technology of China. He also received the Innovation Spirit Award in 2016 for his exemplary contributions to research and innovation.

One of his most notable recognitions came in 2015 when he was awarded the CAS-TWAS PhD President Fellowship by the Chinese Academy of Science (CAS) and The World Academy of Science (TWAS). This fellowship is awarded to a select group of scholars, recognizing their potential for future contributions to scientific knowledge and technological advancements.

Publication Top Notes

A Multiclass Support Vector Machine Based Direction-of-Arrival Estimation Technique using Spherical Antenna Array with Undefined Mutual Coupling

Contributors: Famoriji, O.J.; Shongwe, T.
Journal: Indonesian Journal of Electrical Engineering and Informatics
Year: 2024