likui qiao | Engineering | Best Researcher Award

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Dr . likui qiao | Engineering | Best Researcher Award

PhD student at shenyang university of technology , China

Qiao Likui is a highly capable and promising early-career researcher specializing in fault diagnosis and intelligent monitoring of complex electromechanical systems. With a strong academic record, he has published multiple first-author papers in top-tier journals such as Mechanical Systems and Signal Processing and Expert Systems With Applications, showcasing expertise in deep learning, meta-learning, and multi-task learning. His research demonstrates both theoretical depth and practical relevance, particularly in the field of wind energy. He has received prestigious honors including the National Scholarship and President’s Scholarship, and actively contributes to the academic community as a reviewer for leading journals. Additionally, his involvement in patents and book chapters reflects a commitment to knowledge application and dissemination. While further international exposure and independent research leadership could enhance his profile, Qiao’s outstanding achievements, technical skills, and dedication to advancing the field make him a strong and deserving candidate for the Best Researcher Award.

Professional Profile 

Education🎓

Qiao Likui has pursued his entire higher education at Shenyang University of Technology, demonstrating consistent academic excellence. He earned his Bachelor’s degree in Automation from the School of Electrical Engineering in 2019, where he built a strong foundation in electrical and control systems. Immediately after, he entered a direct Ph.D. program in Electrical Engineering (rated B+), continuing at the same institution. His doctoral studies, expected to be completed by June 2025, have focused on advanced topics including fault diagnosis, machine learning, and intelligent energy systems. During his academic journey, he has undertaken rigorous coursework in subjects such as circuits, power electronics, digital and analog electronics, automatic control principles, artificial intelligence, and specialized studies in wind power generation. This educational background, combining theoretical knowledge with practical application, has prepared him well for high-impact research and innovation in intelligent fault monitoring and predictive maintenance of electromechanical systems.

Professional Experience📝

Qiao Likui has developed a robust professional research profile through his doctoral studies and collaborative projects at Shenyang University of Technology. Although primarily engaged in academia, he has amassed significant experience in applied research related to intelligent fault diagnosis, condition monitoring, and predictive maintenance of complex electromechanical systems. He has actively contributed to multiple high-impact research projects, co-authoring journal papers and conference proceedings that involve cutting-edge techniques such as meta-learning, deep learning, and multi-task learning. His work often bridges theoretical innovation with engineering application, particularly in wind turbine systems. Qiao also played a key role in drafting a national patent and contributed a chapter to a professional textbook on virtual power plant management. His software proficiency in MATLAB, SolidWorks, PyCharm, and LaTeX has supported his research execution and publication. In addition, his role as a peer reviewer for leading IEEE and international journals reflects his growing influence and credibility in the research community.

Research Interest🔎

Qiao Likui’s research interests lie at the intersection of intelligent systems and advanced diagnostics for complex electromechanical equipment. His primary focus is on fault diagnosis, fault prediction, and condition monitoring, with an emphasis on improving the reliability and efficiency of systems such as wind turbines and integrated energy networks. He is particularly interested in leveraging cutting-edge machine learning techniques, including deep learning, meta-learning, and multi-task learning, to develop intelligent models capable of accurate detection and prediction under limited data conditions. His work aims to enhance the operational performance and predictive maintenance of energy systems by enabling smarter, data-driven decision-making. Qiao is also passionate about exploring the integration of artificial intelligence with renewable energy applications, contributing to sustainable and intelligent energy management. His research not only addresses academic challenges but also targets real-world engineering problems, positioning him to make meaningful advancements in the field of intelligent monitoring and energy system optimization.

Award and Honor🏆

Qiao Likui has received numerous prestigious awards and honors in recognition of his outstanding academic and research performance. He was awarded the National Scholarship in 2023, one of the highest honors for graduate students in China, reflecting his excellence in both academic achievement and research contributions. He has also been the recipient of the President’s Scholarship and multiple First-Class Scholarships from Shenyang University of Technology between 2022 and 2025. His consistent dedication earned him titles such as Outstanding Graduate Student and Excellent League Member. In addition to academic honors, he has demonstrated innovation and problem-solving skills through national competitions, securing prizes such as the Third Prize in the 7th “Internet+” Innovation and Entrepreneurship Competition, and Second Prize in the National College Students’ Electrical Mathematics Modeling Competition. These accolades highlight his academic rigor, innovative thinking, and strong potential as a leading young researcher in the field of intelligent energy systems.

Research Skill🔬

Qiao Likui possesses a strong set of research skills that underpin his success as an emerging scholar in intelligent electromechanical systems. He is proficient in applying advanced machine learning techniques—such as deep learning, meta-learning, and multi-task learning—to complex problems in fault diagnosis and predictive maintenance. His ability to design, train, and optimize data-driven models enables him to extract meaningful insights from limited or noisy data, making his research both robust and applicable to real-world energy systems. Qiao is highly skilled in using industry-standard engineering and analysis software, including MATLAB, SolidWorks, Origin, and PyCharm, which supports both simulation and experimental validation of his research. He is also adept in academic writing and LaTeX typesetting, ensuring clarity and professionalism in his publications. His experience as a peer reviewer for top-tier journals further reflects his critical thinking, technical judgment, and deep understanding of the research landscape in artificial intelligence and energy systems.

Conclusion💡

Qiao Likui is a highly promising early-career researcher with significant achievements in AI-driven fault detection for energy systems, excellent publication record, strong academic awards, and active peer-review roles. His work demonstrates both technical depth and research impact, particularly in the fields of wind energy systems and machine learning applications.

Verdict:
He is a strong candidate for the Best Researcher Award in the Ph.D. or Early Career Researcher category. While a few areas—like international visibility and leadership independence—could be enhanced, his current trajectory clearly reflects excellence, innovation, and commitment to solving critical real-world problems.

Publications Top Noted✍

  • Title: Fault detection in wind turbine generators using a meta-learning-based convolutional neural network
    Authors: L. Qiao, Y. Zhang, Q. Wang
    Year: 2023
    Citations: 32

  • Title: Fault diagnosis for wind turbine generators using normal behavior model based on multi-task learning
    Authors: Y. Zhang, L. Qiao, M. Zhao
    Year: 2023
    Citations: 11

  • Title: Fault diagnosis of permanent magnet synchronous motor based on improved probabilistic neural network
    Authors: X. Dai, Y. Zhang, L. Qiao, D. Sun
    Year: 2021
    Citations: 9

  • Title: Deep reinforcement learning based approach for real-time dispatch of integrated energy system with hydrogen energy utilization
    Authors: Y. Han, Y. Zhang, L. Qiao
    Year: 2022
    Citations: 6

  • Title: Cathode sheath parameters and their influences on arc root behavior after liquid metal bridge rupture in atmospheric air
    Authors: S. Peng, J. Li, J. Yang, L. Yu, Y. Cao, S. Liu, L. Qiao
    Year: 2023
    Citations: 5

  • Title: Fault diagnosis for wind turbine generators based on Model-Agnostic Meta-Learning: A few-shot learning method
    Authors: L. Qiao, Y. Zhang, Q. Wang, D. Li, S. Peng
    Year: 2024
    Citations: 3

  • Title: Joint forest fire rescue strategy based on multi-agent proximal policy optimization
    Authors: J. Zhang, Y. Zhang, L. Qiao
    Year: 2022
    Citations: 3

  • Title: A deep neural networks based on multi-task learning and its application
    Authors: M. Zhao, Y. Zhang, L. Qiao, D. Sun
    Year: 2021
    Citations: 3

  • Title: Few-shot fault diagnosis for pitch system of wind turbines based on prototypical network with Mahalanobis distance
    Authors: J.J. Yao, Y. Zhang, L. Qiao
    Year: Not listed (assumed 2023/2024)
    Citations: Not listed

 

Najeem Olawale Adelakun | Electrical Engineering | Best Researcher Award

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Dr. Najeem Olawale Adelakun | Electrical Engineering | Best Researcher Award

Senior Engineer/Researcher at Federal College of Education Iwo, Osun State, Nigeria

Engr. (Dr.) Najeem Olawale Adelakun is a distinguished Senior Engineer and researcher at the Federal College of Education, Iwo, Nigeria, with over 18 years of experience in both field and academic settings. He holds multiple advanced degrees, including an MSc in Information Technology, an MBA, and an Executive Master in Project Management. His research contributions span engineering, artificial intelligence, education, and energy systems, with over 20 peer-reviewed publications in reputable international journals. Dr. Adelakun’s work demonstrates a strong commitment to integrating cutting-edge technologies like AI and IoT into educational and engineering practices, addressing both local and global challenges. His interdisciplinary approach enhances engineering education, promotes renewable energy solutions, and supports digital transformation in academia. His strengths include prolific research output, practical innovation, and leadership in academia. To further strengthen his profile, deeper focus on high-impact journal publications and international collaborations would be beneficial. Overall, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile

Education

Engr. (Dr.) Najeem Olawale Adelakun possesses a robust and multidisciplinary educational background that underpins his expertise in engineering, information technology, and project management. He earned his Master of Science (MSc) in Information Technology from the National Open University of Nigeria, which provided him with strong foundations in digital systems, data management, and IT applications. He also holds a Master of Business Administration (MBA), equipping him with strategic leadership and management skills critical for both academic and industrial success. Further enhancing his professional competencies, Dr. Adelakun completed an Executive Master in Project Management, allowing him to effectively lead and execute complex engineering and academic projects. His diverse academic achievements reflect a commitment to lifelong learning and a holistic approach to problem-solving across technical and managerial domains. This strong educational foundation has enabled him to contribute meaningfully to interdisciplinary research and innovation, particularly in the fields of education technology, renewable energy, and artificial intelligence.

Professional Experience

Engr. (Dr.) Najeem Olawale Adelakun has garnered extensive professional experience across academia, research, and industry. As a seasoned educator and scholar, he has served in various academic roles, including lecturer and researcher, where he has guided students and conducted impactful research in engineering, information technology, and education. His industrial engagements span project management, where he has successfully led and implemented several technology-driven projects, particularly in renewable energy, smart systems, and digital innovation. Dr. Adelakun is well-versed in integrating artificial intelligence and IoT solutions into sustainable development frameworks, which has positioned him as a thought leader in contemporary engineering applications. His commitment to excellence is evident in his numerous scholarly publications and active participation in international conferences. Through his multifaceted experience, he has continuously bridged the gap between theoretical knowledge and practical implementation, contributing to societal advancement through innovative, interdisciplinary solutions and mentoring the next generation of professionals in science and technology.

Research Interest

Engr. (Dr.) Najeem Olawale Adelakun’s research interests span a multidisciplinary range, with a strong focus on sustainable development through technological innovation. He is particularly passionate about integrating renewable energy systems, smart grid technologies, and the Internet of Things (IoT) to address contemporary energy challenges. His work delves into the development and application of artificial intelligence (AI) in optimizing energy efficiency, predictive maintenance, and smart city solutions. Additionally, Dr. Adelakun explores the intersection of engineering education and digital learning technologies, seeking to enhance student engagement and academic outcomes through e-learning platforms and virtual labs. His research also touches on cybersecurity in smart infrastructures and data analytics for decision-making in engineering systems. Committed to impactful innovation, he actively collaborates on projects aimed at promoting energy access in underdeveloped regions, supporting sustainable urbanization, and advancing technological inclusion. His diverse interests reflect a vision for leveraging science and engineering to create meaningful, real-world solutions.

Award and Honor

Engr. (Dr.) Najeem Olawale Adelakun has received numerous awards and honors in recognition of his academic excellence, innovative research, and leadership in engineering and technology. He was honored with the prestigious TETFund Scholarship for Academic Staff Development, which supported his doctoral studies in Electrical and Electronics Engineering. Throughout his career, Dr. Adelakun has received commendations from various academic and professional bodies for his outstanding contributions to renewable energy research and engineering education. His innovative projects have earned him accolades at international conferences and competitions, particularly for his work in smart energy systems and digital learning technologies. In addition to academic achievements, he has been recognized for his service to the community through engineering outreach initiatives and capacity-building programs. These awards not only underscore his technical expertise and dedication but also highlight his commitment to applying science and technology for societal advancement and sustainable development on both local and global scales.

Research skill

Engr. (Dr.) Najeem Olawale Adelakun possesses a robust set of research skills that span across electrical engineering, renewable energy systems, and digital innovation. He is highly proficient in designing and implementing experimental research, data analysis, simulation modeling, and technical documentation. His expertise in MATLAB/Simulink, AutoCAD, and other engineering software tools enables him to conduct detailed simulations and evaluate the performance of various energy systems. Dr. Adelakun has a strong foundation in research methodology, including both qualitative and quantitative techniques, allowing him to undertake interdisciplinary studies and evaluate complex engineering problems. He excels in literature review, hypothesis formulation, data interpretation, and the publication of findings in reputable journals. Furthermore, his ability to lead research teams, write compelling research proposals, and secure funding demonstrates his strategic thinking and organizational capabilities. His collaborative spirit and problem-solving mindset make him an asset in any research-driven environment focused on innovation and sustainable development.

Conclusion

Engr. (Dr.) Najeem Olawale Adelakun is highly suitable for the Best Researcher Award due to:

  • A rich blend of academic qualifications, field expertise, and multidisciplinary publications.

  • A demonstrated commitment to solving real-world problems using innovative engineering and IT approaches.

  • A strong publication record showing consistent research productivity and societal relevance.

Publications Top Noted 

  • Title: A Review Of Solar Energy
    Authors: NO Adelakun, BA Olanipekun
    Year: 2019
    Citations: 37

  • Title: Assessment of Renewable Energy in Nigeria: Challenges and Benefits
    Authors: BA Olanipekun, NO Adelakun
    Year: 2020
    Citations: 35

  • Title: Design and Evaluation of Electrical Services for an Energy Efficient Home
    Authors: CU Okoye, NO Adelakun
    Year: 2019
    Citations: 16

  • Title: A Pragmatic Study on E-Learning System for Higher Education in Developing Countries
    Authors: N Adelakun, S Omolola
    Year: 2020
    Citations: 15

  • Title: Impact of Digital Technology and the Need for Periodical Review of Educational Curriculum in Nigeria Tertiary Institutions
    Authors: NO Adelakun
    Year: 2022
    Citations: 14

  • Title: Outage Analysis and System Disturbances on 330 kV and 132 kV Transmission System in Nigeria
    Authors: NO Adelakun, BA Olanipekun
    Year: 2020
    Citations: 10

  • Title: Electrical Service Design of a Proposed Multipurpose Building Complex
    Authors: NO Adelakun
    Year: 2018
    Citations: 9

  • Title: Exploring the Use of Electronic Resources for Undergraduate Learning at the National Open University of Nigeria in Kwara State
    Authors: MA Shomoye, NO Adelakun, KL Adebisi
    Year: 2023
    Citations: 7

  • Title: Future Trends in Artificial Intelligence for Energy Management
    Authors: NO Adelakun
    Year: 2024
    Citations: 6

  • Title: Development and Testing of Arduino Timer Socket
    Authors: NO Adelakun, SA Omolola
    Year: 2023
    Citations: 6

  • Title: Design of an Electrical Installation of a Storey Building
    Authors: NO Adelakun, BA Olanipekun, SO Asogba
    Year: 2020
    Citations: 6

  • Title: The Significance of Social Media in Shaping Students’ Academic Performance: Challenges, Benefits, and Quality Assurance Outlook
    Authors: NO Adelakun, MB Olajide, MA Shomoye, KL Adebisi
    Year: 2023
    Citations: 5

Jawad Ali | Engineering | Best Researcher Award

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Mr. Jawad Ali | Engineering | Best Researcher Award

Ph.D. Researcher at High Frequency Systems Laboratory, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

Mr. Jawad Ali is a dedicated researcher specializing in electrical engineering, IoT, and antenna design, with a strong academic background and extensive international exposure. He holds a Ph.D. in Electrical and Software Systems Engineering from King Mongkut’s University of Technology North Bangkok, along with a Master’s in Electrical Engineering (CPA 4.00/4.00) from UTHM Malaysia. His research focuses on IoT-based localization, RF and microwave systems, and biomedical applications, with collaborations at Trinity College Dublin, UTHM, and COMSATS University. Recognized with multiple awards, including the IEEE AP-S Fellowship Grant and Malaysia Technology Expo medals, he has contributed to academia through teaching and mentoring roles. His technical expertise spans antenna fabrication, MATLAB, and RF measurements. As an IEEE and Pakistan Engineering Council member, he continues to advance research through international collaborations and industrial projects. With a strong research portfolio and global impact, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile 

Education

Mr. Jawad Ali has a strong academic background in electrical engineering, specializing in RF, microwave, and IoT-based systems. He is currently completing his Ph.D. in Electrical and Software Systems Engineering at King Mongkut’s University of Technology North Bangkok, where he defended his dissertation with a Grade A. His doctoral research focuses on IoT-based localization of people and objects for the MICE industry. He earned his Master’s degree in Electrical Engineering from Universiti Tun Hussein Onn Malaysia (UTHM) with a perfect CPA of 4.00/4.00, researching ultra-wideband antenna arrays for human scanning under debris. His undergraduate studies were completed through a collaborative program between COMSATS University Islamabad and Lancaster University, UK, where he obtained a Bachelor’s degree in Electrical (Telecommunication) Engineering with First-Class Honours. His academic journey is marked by excellence, international exposure, and contributions to cutting-edge research, making him a distinguished scholar in his field.

Professional Experience

Mr. Jawad Ali has a diverse professional background spanning academia, research, and industry. He currently serves as a Visiting Lecturer at Khwaja Fareed University of Engineering and Information Technology, Pakistan. Previously, he was a Ph.D. Researcher at Trinity College Dublin, contributing to IoT-based localization research. As a Teaching Assistant at King Mongkut’s University of Technology North Bangkok, he worked on RF and microwave engineering projects for MuSpace and PTT Thailand. His tenure at COMSATS University Islamabad as a Laboratory Engineer involved research, academic coordination, and industrial collaborations. Additionally, he worked as a Graduate Research Assistant at UTHM Malaysia, assisting with student research and thesis projects. His early career included a role as a Junior System Support Engineer at HB Media (PVT) Capital TV, handling broadcast engineering operations. With expertise in RF measurements, IoT, and antenna design, he has significantly contributed to both academia and industry.

Research Interest

Mr. Jawad Ali’s research interests lie at the intersection of electrical engineering, RF and microwave systems, IoT, and antenna design. His work focuses on developing advanced localization techniques using multi-standard IoT for applications in the Meetings, Incentives, Conventions, and Exhibitions (MICE) industry. He has a strong background in ultra-wideband (UWB) antenna design, biomedical applications, and radar-based human scanning under debris. His research extends to environmentally friendly antenna materials, ground-penetrating radar for soil scanning, and microstrip line designs using cellulose-based substrates. Collaborating with institutions like Trinity College Dublin, UTHM Malaysia, and COMSATS University Islamabad, he actively contributes to cutting-edge innovations in wireless communications and electromagnetic applications. His expertise in RF measurements, simulation tools like CST Studio Suite and HFSS, and his commitment to advancing antenna technology position him as a leading researcher in the field, with significant contributions to both academia and industry-driven projects.

Award and Honor

Mr. Jawad Ali has received numerous awards and honors in recognition of his outstanding research contributions and academic excellence. He was awarded the Bronze Medal at the Malaysia Technology Expo MARS (2018) and the Research and Innovation Festival (2017) for his innovative work in electrical engineering. His exceptional performance during his Master’s studies earned him the Graduate on Time (GoT) Award and a Publication Award from Universiti Tun Hussein Onn Malaysia (UTHM). He was also a recipient of the prestigious UTHM Scholarship Award. His research productivity was acknowledged by COMSATS University Islamabad, where he received the Research Productivity Award. Additionally, he was selected for a fully funded study visit to the University of Lancaster, UK. His work has been further supported by major grants, including the IEEE Antennas and Propagation Society Fellowship, IDS Ingegneria Dei Sistemi Grant, and NSTDA-KMUTNB Thailand Gold Medal Scholarship, highlighting his dedication to scientific advancement.

Research Skill

Mr. Jawad Ali possesses strong research skills in the fields of electrical engineering, RF and microwave systems, and IoT-based localization technologies. He is highly proficient in antenna design, microwave circuit fabrication, and RF measurements, enabling him to develop innovative solutions for communication and sensing applications. His expertise extends to advanced simulation and design tools such as CST Studio Suite, HFSS, and Microwave Office, which he utilizes for optimizing antenna and radar system performance. He is skilled in programming with MATLAB and C/C++ for signal processing and data analysis. His research methodology is strengthened by hands-on experience in industrial projects, including RF far-field measurements and liquid resonance studies. His ability to collaborate with international research groups, secure funding, and publish in high-impact journals demonstrates his analytical thinking, problem-solving capabilities, and commitment to advancing technological innovations in wireless communication and electromagnetic applications.

Conclusion

Jawad Ali has a strong academic, research, and professional profile, making him a highly suitable candidate for the Best Researcher Award. His contributions in antenna design, IoT-based localization, and RF engineering are significant. To further strengthen his candidacy, he should focus on publishing in high-impact journals, securing major research leadership roles, and expanding global collaborations. With his technical expertise, international exposure, and innovative contributions, he stands out as a competitive nominee for this award.

Publications Top Noted

  1. Metasurface-Loaded Biodegradable Mobile Phone Back Cover for Enhanced Radiation Performance

    • Authors: Juin Acharjee, Jawad Ali, Muhammad Uzair, Thipamas Phakaew, Prayoot Akkaraekthalin, Yaowaret Maiket, Rungsima Yeetsorn, Suramate Chalermwisutkul
    • Year: 2025
    • DOI: 10.3390/ma18040730

  2. Low-Cost Indoor Localization Using Dual-Chip RFID Tag

    • Authors: Jawad Ali, Kamol Kaemarungsi, Thipamas Phakaew, Muhammad Uzair, Adam Narbudowicz, Suramate Chalermwisutkul
    • Year: 2024
    • DOI: 10.1109/OJAP.2024.3372030

  3. Enhancement of Radio Frequency Identification Coverage for Various Indoor Scenarios Using Diversified Radiation Patterns of Tag and Reader Antennas

  4. Dual-Chip RFID Tag for Enhanced Indoor Localization of IoT Assets

  5. Optimization of Planar Capacitive Sensors Embedded Between Two 6mm Thick Glass Sheets

  6. Post-Design Modifications for Impedance Matching of UHF RFID Tag Antenna

  7. Dual-Chip UHF RFID Tag Antenna for Distinction of Movement Directions

  8. Modeling and Design of Enhanced All Optical Signal Regeneration Technique

  9. Antenna Design Using UWB Configuration for GPR Scanning Applications

  10. Design a Compact Square Ring Patch Antenna with AMC for SAR Reduction in WBAN Applications

Yibo Ding | Engineering | Best Researcher Award

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Assoc.Prof.Dr.Yibo Ding | Engineering | Best Researcher Award

Associate professor atNorthwestern Polytechnical University, China

Dr. Yibo Ding is an Associate Professor at Northwestern Polytechnical University, specializing in aerospace guidance and control. With a Ph.D. in aeronautical and astronautical science from Harbin Institute of Technology, he has dedicated his research to cooperative game guidance and multi-constraint adaptive control of hypersonic vehicles. He has led over 20 research projects, including national-level initiatives, and collaborated with key aerospace institutions in China. His contributions include innovative guidance algorithms, high-precision self-learning control technologies, and the development of national standards. Dr. Ding has published over 30 academic papers, authored two books, and holds 12 patents. His research has been recognized by esteemed academicians and has had significant applications in aerospace engineering and defense technology. With multiple awards, editorial appointments, and international presentations, he stands out as a leading researcher in his field, making him a strong candidate for the Best Researcher Award.

Professional Profile

Education

Dr. Yibo Ding earned his B.S. degree in Aircraft Design and Engineering and his Ph.D. in Aeronautical and Astronautical Science and Technology from Harbin Institute of Technology, China, in 2015 and 2020, respectively. His academic training provided a strong foundation in aerospace engineering, with a focus on advanced guidance and control systems for hypersonic vehicles. His doctoral research emphasized intelligent cooperative game guidance and adaptive control, addressing key challenges in aerospace flight dynamics. With his rigorous education and specialized expertise, Dr. Ding has emerged as a leading researcher in aerospace engineering, contributing significantly to flight safety, optimal flight performance, and national defense technology.

Professional Experience

Since 2020, Dr. Yibo Ding has been serving as an Associate Professor at Northwestern Polytechnical University, Xi’an, China, where he is affiliated with the National Key Laboratory of Aerospace Flight Dynamics Technology. He is a core member of the “Innovation Team of Sanqin Special Support Program for Talents” and actively contributes to aerospace research and development. He holds various prestigious roles, including Director of the Shaanxi Vibration Engineering Society and an expert for the Xi’an Science and Technology Bureau. Recognized as a Young Top Talent under the Shaanxi Special Support Program, he has also been selected for the China Association for Science and Technology Young Talent Lift Project and the Northwest Polytechnical University Soaring Star Program. His research focuses on cooperative game guidance and multi-constraint adaptive control for hypersonic vehicles, aiming to enhance flight safety and optimize performance. Additionally, he collaborates closely with key aerospace research institutes, contributing to national defense projects and cutting-edge aerospace technology.

Research Interest

Dr. Yibo Ding’s research interests primarily focus on aerospace guidance and control, with a particular emphasis on cooperative game guidance and multi-constraint adaptive control for hypersonic vehicles. His work aims to enhance flight safety, optimize flight performance, and support the future development of aerospace aircraft technology. He specializes in intelligent cooperative game guidance under threat assessment, designing advanced algorithms that improve aircraft maneuverability in high-threat environments. Additionally, his research addresses critical challenges such as intake constraints, flight transient constraints, aerodynamic-propulsion coupling, and strong system uncertainties in hypersonic vehicles. By developing high-precision self-learning control technologies, including fixed-time anti-saturation compensation algorithms and adaptive parameter tuning methods, he contributes to ensuring stable and efficient aerospace flight dynamics. His research findings have significant applications in national defense and future aerospace missions, advancing the capabilities of next-generation aerospace vehicles.

Award and Honor

Dr. Yibo Ding has received several prestigious awards and honors in recognition of his outstanding contributions to aerospace research and innovation. He was selected as a Young Top Talent under the Shaanxi Special Support Program and was also recognized by the China Association for Science and Technology’s Young Talent Lift Project. Additionally, he was honored as a Soaring Star at Northwestern Polytechnical University. His research excellence has been acknowledged through the Excellent Paper Award at the China Commercial Space Summit Forum in 2023. He has also played a significant role in national defense projects, where his contributions were recognized at the national level for ensuring the successful execution of key aerospace missions. His work has received high praise from leading academicians and scholars, further solidifying his reputation as a distinguished researcher in aerospace guidance and control.

Conclusion

Given his strong research output, industry collaborations, patents, and contributions to aerospace engineering, Yibo Ding is a strong candidate for the Best Researcher Award. While he has areas for growth, particularly in international visibility and industry application, his achievements make him highly deserving of recognition in his field.

Publications Top Noted

  • Title: Prospective cohort studies underscore the association of abnormal glycemic measures with all-cause and cause-specific mortalities
    Authors: Juzhong Ke, Xiaonan Ruan, Wenbin Liu, Zhitao Li, Guangwen Cao
    Year: 2024
    Citations: 0
  • Title: Trends in disease burden and risk factors of asthma from 1990 to 2019 in Belt and Road Initiative countries: evidence from the Global Burden of Disease Study 2019
    Authors: Wenjing Ye, Xue Xu, Yibo Ding, Xiaopan Li, Wen Gu
    Year: 2024
    Citations: 0
  • Title: Smoke and Spike: Benzo[a]pyrene Enhances SARS-CoV-2 Infection by Boosting NR4A2-Induced ACE2 and TMPRSS2 Expression
    Authors: Wenbin Liu, Yue Zhao, Junyan Fan, Xiaojie Tan, Guangwen Cao
    Year: 2023
    Citations: 1
  • Title: Remote detection device for bioaerosol: research progress
    Authors: Letian Fang, Wenbin Liu, Yibo Ding, Guangwen Cao
    Year: 2023
    Citations: 0

Janani Priyanka Perumpally Rajakumar | Engineering | Best Researcher Award

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Ms. Janani Priyanka Perumpally Rajakumar | Engineering | Best Researcher Award

Student at Dong-A University, India

Janani Priyanka P.R. is a dedicated researcher specializing in civil and environmental engineering, with a strong academic background and expertise in air quality monitoring, data analysis, and smart city engineering. She has a passion for tackling environmental challenges using advanced technologies such as big data and IoT-based monitoring systems. With multiple Q1 journal publications and international conference presentations, she has demonstrated her ability to contribute impactful research. Her technical proficiency in Python, AutoCAD, C++, and Microsoft tools further enhances her analytical capabilities. She has received notable recognition, including an Editor’s Choice selection for one of her research papers and a Second Paper Award at ICTSCE 2023. She aspires to further her research in sustainable construction and urban planning, aiming to integrate technology and environmental solutions for smarter, safer cities.

Professional Profile

Education

Janani holds a Master’s degree in ICT Integrated Oceanfront Smart City Engineering from Dong-A University, Busan, South Korea, with an impressive GPA of 4.19/5. Her interdisciplinary education integrates architecture, civil, and electronic engineering, providing a comprehensive understanding of sustainable urban development. She previously earned a Bachelor of Technology in Civil Engineering from Adi Shankara Institute of Engineering and Technology, Kerala, India, graduating with an outstanding CGPA of 9.11/10. She ranked second in her department during her undergraduate studies, reflecting her academic excellence. Throughout her academic journey, she actively participated in research projects, technical conferences, and internships, which helped her develop expertise in environmental sustainability, air pollution control, and smart construction methodologies.

Professional Experience

Janani has gained valuable research and industry experience through various internships and projects. She interned at SFS Homes, Kakkanad, where she worked on an ongoing construction project, gaining hands-on experience in structural design and project management. Additionally, she completed an internship at the civil department of FACT Ltd., Eloor, where she explored industrial construction techniques and environmental safety protocols. She has actively participated in international conferences, including ICTSCE 2021 & 2023 and IEEE Big Data 2021, where she presented her research on particulate matter control and toxic gas monitoring. Her research on air pollution control in construction activities, toxic gas detection systems, and sustainable building practices has been widely recognized. With her technical skills in data analysis, programming, and engineering design, she is well-equipped to contribute to innovative solutions in urban development and environmental sustainability.

Research Interest

Janani Priyanka P.R.’s research focuses on air quality monitoring, environmental sustainability, and smart city engineering. She is particularly interested in developing data-driven solutions to address pollution control challenges in urban environments. Her studies explore big data analytics, IoT-based toxic gas monitoring, and particulate matter control measures in construction activities. She has conducted extensive research on real-time gas detection systems for worker safety and efficient air pollution mitigation strategies using advanced technologies. Her interdisciplinary approach integrates civil engineering, environmental science, and data analytics, making her work highly relevant to sustainable urban development. She aspires to further explore machine learning applications in air quality forecasting, climate-resilient infrastructure, and smart urban planning. By leveraging her technical skills in Python, C++, AutoCAD, and MS Project, she aims to contribute to innovative solutions that enhance environmental sustainability and public health in rapidly urbanizing regions.

Awards and Honors

Janani has received several prestigious awards and honors for her academic excellence and research contributions. She was awarded the Second Paper Award at ICTSCE 2023 in Busan, South Korea, recognizing her work in air pollution control and sustainable construction practices. Her research paper published in the Sensors Journal was selected as an Editor’s Choice Article, highlighting its significance in the field of toxic gas detection and worker safety. She has published three Q1 journal articles, a testament to the impact and quality of her research. Additionally, she ranked second in her undergraduate civil engineering department, showcasing her consistent academic excellence. Her Master’s thesis on toxic gas exposure detection received a remarkable score of 94 out of 100, further reinforcing her expertise in environmental monitoring systems. With multiple international conference presentations and impactful research publications, she continues to make significant contributions to sustainable urban engineering and environmental science.

Conclusion

Janani Priyanka P.R. is a strong contender for the Best Researcher Award, given her exceptional academic performance, Q1 publications, technical skills, and international recognition. However, further strengthening through a Ph.D., leadership in research, and interdisciplinary collaborations would enhance her profile further. If she continues on this trajectory, she has high potential to be an outstanding researcher in her field.

Publications Top Noted

  • Ham, Y.-B., Cheriyan, D., Kim, H.-U., Janani Priyanka, P.R., Choi, J.-H. (2024). “Particulate matter reduction efficiency analysis of sprinkler system as targeted control measures for construction activity.” Heliyon, 10(7), e27765.
    • Year: 2024
    • Citations: 0
  • Janani Priyanka, P.R., Cheriyan, D., Choi, J.-H. (2022). “A proactive approach to execute targeted particulate matter control measures for construction works.” Journal of Cleaner Production, 368, 133168.
    • Year: 2022
    • Citations: 5
  • Priyanka, J., Cheriyan, D., Choi, J.-H. (2021). “Issues with Current PM Monitoring Techniques and Control Measures and the Way Forward Using Big Data.” Proceedings – 2021 IEEE International Conference on Big Data (Big Data 2021), pp. 5997.
    • Year: 2021
    • Citations: 1