Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

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Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

Dr. Abiala Alatise Abiala, University Lecturer, Tai Solarin University of Education, Ijagun, Ogun State, Nigeria.

Dr. ABIALA, Abiala Alatise is a Nigerian academic and agricultural extension expert with over two decades of experience in teaching, research, and community development. Born in Ogun State, he has dedicated his professional life to advancing agricultural science and rural development through education and innovation. He currently serves as a Lecturer II at Tai Solarin University of Education, Ogun State. A multi-talented individual, Dr. Abiala has also made significant impacts in religious, civic, and youth empowerment circles. His commitment to integrating artificial intelligence in agricultural education marks a significant stride in enhancing food security and sustainability in West Africa.

Publication Profile

ORCID

🎓 Education Background

Dr. Abiala holds a Ph.D. in Agricultural Extension from Tai Solarin University of Education (2024), an M.Sc. in Agricultural Extension and Rural Development from the University of Ibadan (2009), and a B.Ed. in Agricultural Science Education from the same university (2004). His academic journey began at African Primary School and Owode Secondary School in Ogun State. He has continuously advanced his professional capacity through specialized certificates in AI integration, copywriting, STEM pedagogy, and theology, reflecting his interdisciplinary approach to education, technology, and spiritual leadership in the evolving academic and development landscape of Nigeria.

👨‍🏫 Professional Experience

Dr. Abiala has held various educational and administrative roles, including Lecturer II at Tai Solarin University of Education since 2025. He previously served as a Science Teacher at Idomila Comprehensive High School (2017–2024), Assistant Lecturer at Ekiti State University (2011–2017), and Subject Teacher at Obanta Comprehensive High School (2007–2017). His early career included administrative duties at TASUED and NYSC service in Anambra State. Through these roles, he has mentored students, facilitated curriculum development, and promoted agricultural practices, earning a reputation for academic diligence and passion for rural development.

🏅 Awards and Honors

Dr. Abiala’s scholarly excellence has been recognized globally. He received the prestigious CORAF Travel Grant (Togo, 2023) and three Society for Conservation Biology Travel Grants for academic activities in Canada, China, and New Zealand between 2009 and 2011. These awards underscore his contributions to agricultural sustainability and biodiversity conservation. His certification as a Microsoft Innovative Educator Expert and participation in World Bank’s ToT in STEM reflect his leadership in educational innovation. These accolades not only celebrate his academic achievements but also support his mission to bridge the gap between research, community empowerment, and technological integration.

🔬 Research Focus

Dr. Abiala’s research focuses on agricultural extension, food security, youth empowerment, and sustainable farming systems in Nigeria. His Ph.D. work examined the impact of the Anchor Borrowers’ Programme on rice farmers’ poverty levels. His studies also investigate agricultural technology use, snail farming, charcoal utilization, and the socio-economic dimensions of agri-business. With interdisciplinary outputs spanning newspapers, environmental conservation, and rural livelihoods, he contributes to both academic literature and policy discourse. He integrates AI and modern pedagogies into agriculture, positioning his research at the intersection of education, technology, and sustainable development in West Africa.

🧾 Conclusion

Dr. ABIALA, Abiala Alatise exemplifies a well-rounded scholar, educator, and community leader committed to agricultural transformation and educational excellence in Nigeria. With a strong foundation in extension services and educational innovation, he actively supports the application of modern technology for sustainable rural development. His publications, global exposure, and community involvement reflect a visionary academic whose contributions continue to inspire change across multiple sectors. Whether in the classroom, research arena, or religious setting, Dr. Abiala brings purpose, leadership, and transformative impact.

📚 Top Publications with Notes

  1. Assessment of Local Processing, Packaging and Storage Among Rice Processors in Southwestern Nigeria
    Banjo, S. et al., MDPI Proceedings, 2025
    Cited by: 12 articles
    ➤ A detailed analysis of value-chain improvements in rice processing for food security and trade.

  2. Effects of Agricultural and Technology Usage on the Genetic Selection and Climate Resilience of Fish Farming in Oyo State
    Sanni, M.A. et al., Journal of Theoretical and Empirical Studies in Education, 2025
    Cited by: 8 articles
    ➤ Investigates tech integration in aquaculture for sustainable fishery practices.

  3. Socio-economic Impact of Snail Production and Youth Engagement
    Asamu, Y.I. et al., Journal of Molluscan Research, 2025
    Cited by: 9 articles
    ➤ Highlights the economic potential of snail farming for youth job creation.

  4. Snail Farming as a Means of Wealth Creation in Ogun State
    Jolayemi, J.O. et al., Journal of Molluscan Research, 2025
    Cited by: 5 articles
    ➤ Focuses on value-added practices and entrepreneurship in molluscan farming.

  5. Impact of Anchor Borrowers’ Programme on Smallholder Rice Farmers’ Income
    Banjo, O.S. et al., CYIAP Journal, 2023
    Cited by: 13 articles
    ➤ Examines policy impact on rural rice farmers’ financial stability.

  6. Contribution of NIRSAL to Rice Farmers’ Productivity
    Abiala, A.A. et al., Journal of Agricultural Education Teachers, 2023
    Cited by: 11 articles
    ➤ Links institutional support to yield increase and food security outcomes.

  7. Medicinal Uses of Snail Meat for Boosting Agribusiness
    Oladele, M.N. et al., NMS Conference Proceedings, 2024
    Cited by: 6 articles
    ➤ Presents ethnobotanical insights into snail meat for health-focused agribusiness.

  8. The Impact of Palm Kernel Cake in Resolving Herdsmen-Farmers Conflicts
    Abiala, A.A., IGI Global Journal, 2019
    Cited by: 15 articles
    ➤ Proposes agribusiness solutions to mitigate agricultural land conflicts.

  9. Plant Conservation: Political Harmony for Nature and Society
    Abiala, A.A., Society for Conservation Biology Journal, 2009
    Cited by: 10 articles
    ➤ Connects environmental policy with biodiversity conservation strategies.

  10. Religious Tolerance and Environmental Conservation
    Abiala, A.A., Obeche Journal, 2008
    Cited by: 7 articles
    ➤ Discusses how religious cooperation enhances ecological preservation efforts.

 

Wenwei Luo | Automation | Best Researcher Award

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Mr. Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo at Institute of Logistics Science and Engineering, Shanghai Maritime University, China

Wenwei Luo is a passionate robotics researcher pursuing his Master’s degree at Shanghai Maritime University, specializing in control science and engineering. With a strong foundation in robotics engineering from Zhejiang Normal University, he has demonstrated academic excellence, technical proficiency, and innovative thinking in reinforcement learning and evolutionary robotics. Wenwei has published impactful research, led interdisciplinary projects, and earned recognition in national competitions. He possesses a unique combination of embedded systems expertise and AI-based control strategies, positioning him as a rising talent in intelligent robotics. His vision is to bridge adaptive learning and real-world robotics for autonomous systems. 🤖📚🔍

Publication Profile

Orcid

Academic Background

Wenwei Luo is currently pursuing a Master’s degree in Control Science and Engineering at Shanghai Maritime University under Associate Professor Bo Li, with a GPA of 3.84/4.0 and double First Academic Scholarships. His research interests span reinforcement learning, adaptive control, and evolutionary robotics. Previously, he earned his Bachelor’s degree in Robotics Engineering from Zhejiang Normal University under Associate Professor Hu Lan, graduating with a GPA of 3.40/4.0 and receiving a Third Academic Scholarship. Wenwei’s academic background blends strong theoretical knowledge with hands-on experience in intelligent systems and control engineering. 🧠🎓📈

Professional Experience

Wenwei has led and contributed to various high-impact robotics projects. As Principal Investigator, he developed a novel inner-outer loop framework for modular robots using reinforcement learning and evolutionary optimization. As Co-Investigator, he worked on intelligent drone navigation and pursuit-evasion for port defense. He also led a RoboMaster project, designing embedded software for a wheeled robot with Mecanum wheels and a shooting mechanism. His work integrates control algorithms, real-time systems, and AI-based decision-making, validated through both simulations and real-world experiments. His diverse project roles highlight both leadership and deep technical acumen. 🤖🧪🧑‍🔬

Awards and Honors

Wenwei has received several prestigious awards and honors throughout his academic career. At Shanghai Maritime University, he won the Third Prize in the 2022 “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling. During his undergraduate years, he received the National Third Prize in the 2021 National College Students Robotics Competition (RoboMaster Event). He has also been awarded the First Academic Scholarship twice during his master’s program and the Third Academic Scholarship during his bachelor’s. These recognitions reflect his commitment to excellence and contributions to engineering and robotics research. 🥇🎖️📜

Research Focus

Wenwei’s research centers on intelligent control and adaptive robotics, specifically focusing on reinforcement learning-based control, evolutionary robotics, and adaptive dynamic programming. He has pioneered a hierarchical framework integrating genetic algorithms and deep RL (PPO) for optimizing morphology and control of modular robots. His work extends to autonomous UAV path planning and pursuit-evasion strategies using fuzzy logic, neural networks, and Lyapunov-based verification. His research leverages advanced tools such as JAX and GPU parallelism for real-time learning and optimization. Wenwei aims to develop scalable, autonomous systems capable of intelligent behavior in complex environments. 🧠📡🚀

Publication Top Notes

📄  Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot

 📅Year: 2025 | 📚 Journal: Actuators, Volume 14

Conclusion

Wenwei Luo is a highly promising early-career researcher whose academic excellence, innovative research, and practical contributions make him a strong contender for a Best Researcher Award. With a Master’s GPA of 3.84/4.0 and a strong undergraduate foundation, he has demonstrated consistent academic achievement. His research focuses on cutting-edge areas such as modular robotics, reinforcement learning, and evolutionary optimization, exemplified by his novel inner–outer loop architecture combining genetic algorithms and PPO for pursuit–evasion tasks. He has authored peer-reviewed publications, including a journal article in Actuators, and holds a patent alongside software copyrights, reflecting both theoretical and applied innovation. His technical skill set spans AI frameworks, embedded systems, and robotics platforms, and his leadership roles in multiple projects showcase his capability for independent and collaborative research. Combined with national competition awards and scholarships, Luo’s profile embodies the qualities celebrated by the Best Researcher Award.

 

Prof. Yunxia Chen | Intelligent Manufacturing | Best Researcher Award

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Prof. Yunxia Chen | Intelligent Manufacturing | Best Researcher Award

School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, China

Dr. Yunxia Chen is a distinguished professor at Shanghai Polytechnic University, specializing in Materials Science and Engineering. With a Ph.D. from Shanghai Jiaotong University, Dr. Chen has an extensive academic and professional background in advanced welding technologies and materials science. Throughout his career, he has contributed to the field with research focused on the weldability of dissimilar metals, microstructure and mechanical properties of welded joints, and cutting-edge welding technologies. Dr. Chen has worked as a professor, associate professor, and postdoctoral researcher, and has extensive industrial experience as a welding engineer. His academic journey is complemented by his roles in organizing significant international conferences and publishing numerous impactful research papers.

Publication Profile

Scopus

Education:

Dr. Yunxia Chen earned his Ph.D. in Materials Science and Engineering from Shanghai Jiaotong University in 2010, under the supervision of Prof. Shun Yao. His thesis titled “Research of Rapid Prototyping System Based On 3D Scanning Electron Beam” reflects his focus on advanced manufacturing technologies. He completed his M.Sc. in the same field from Dalian Jiaotong University in 2005, where he worked under Prof. Xiongming Zhang on the “Electric Control Study of Conform Production Line Drawing and Rolling Machine.” He received his B.Eng. in Materials Science and Engineering from Dalian Jiaotong University in 1999.

Experience:

Dr. Yunxia Chen has held several prominent academic and professional positions. Since 2024, he has been serving as a professor at Shanghai Polytechnic University. Prior to that, he was an Associate Professor and Professor at Shanghai Dianji University from 2015 to 2023. Dr. Chen also held a postdoctoral position at Shanghai Jiaotong University from 2013 to 2015. Early in his career, he worked as a Welding Engineer at Changchun Railway Vehicles Co., Ltd., from 1999 to 2002. Dr. Chen has also contributed to the academic community by interviewing for significant international conferences, including the 4th International Conference on Robotic Welding, Intelligence, and Automation, in 2014.

Awards and Honors:

Dr. Yunxia Chen’s work has earned him several accolades, reflecting his excellence in research and teaching. He has received awards for his contributions to the field of welding and materials science, including recognition at international conferences and accolades for his innovative research in welding technologies. His research excellence has made a significant impact in both academic and industrial sectors.

Research Focus:

Dr. Chen’s primary research interests lie in the weldability of metals, particularly dissimilar metal welding, and the microstructural and mechanical properties of welded joints. He has extensively explored advanced welding technologies and the effects of welding processes on material properties. His work is pivotal in understanding the behavior of metals during welding and the challenges associated with improving the quality and strength of welded joints. Dr. Chen also investigates the role of microstructure in determining the mechanical properties and performance of materials used in welding.

Conclusion:

Dr. Yunxia Chen’s career stands as a testament to his dedication to advancing materials science and welding technology. His innovative research has paved the way for improvements in the welding industry, addressing both practical and theoretical challenges. Through his academic roles, industrial experience, and research endeavors, Dr. Chen continues to make significant contributions to the field, impacting both the scientific community and industrial practices.

Publications:

Detection of Welding Defects Tracked by YOLOv4 Algorithm
Published: 2025, Applied Sciences
Link: DOI: 10.3390/app15042026

NiFe2O4/Polypyrrole Metacomposites with Tunable Negative Permittivity for Enhanced Electromagnetic Wave Adsorption
Published: 2022, Journal of Materials Science & Technology
Link: Journal of Materials Science & Technology, 108:64-72

Hot Compression Bonding Behavior and Constitutive Model of Spray Deposited 2195 Al-Cu-Li Alloy
Published: 2023, Vacuum
Link: DOI: 10.1016/j.vacuum.2023.111896

A Comparative Study on Microstructural Characterization of Thick High Strength Low Alloy Steel Weld by Arc Welding and Laser Welding
Published: 2023, Materials
Link: Materials 2023, 16, 2212

Microstructure Characterization and Wear Performance of WC-10Co/Ti-6Al-4V Coating Fabricated via Electron Beam Cladding
Published: 2021, Surface and Coatings Technology
Link: DOI: 10.1016/j.surfcoat.2021.127493

Effect of Temperature and Hold Time of Induction Brazing on Microstructure and Shear Strength of Martensitic Stainless Steel Joints
Published: 2018, Materials
Link: DOI: 10.3390/ma1111586

Role of Reversed Austenite Behavior in Determining Microstructure and Toughness of Advanced Medium Mn Steel by Welding Thermal Cycle
Published: 2018, Materials
Link: DOI: 10.3390/ma112127

Metallurgical and Mechanical Properties of Fibrous Laser Welded Thick Q890 High Strength Low Alloy Steel with Varying Weld Geometries
Published: 2022, Journal of Materials Engineering and Performance
Link: DOI: 10.1007/s11665-021-06516-3

Ms. Zhengrong Xiang | Control Science | Young Scientist Award

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Ms. Zhengrong Xiang | Control Science | Young Scientist Award

Teaching assistant, School of Physics and Information Engineering, Guangxi Science and Technology Normal University, China

Xiang Zhengrong is a dedicated researcher and educator in Control Science and Engineering with expertise in Unmanned Aerial Vehicle (UAV) Systems 🚀. She holds a Master of Engineering degree and currently serves as a full-time teacher at the School of Physics and Information Engineering, Guangxi Science and Technology Normal University 🏫. With a strong background in control theory, automation, and UAV research, she actively contributes to cutting-edge technological advancements. As a member of the Guangxi Automation Society, she is committed to fostering innovation in aerospace control systems and automation technologies.

Publication Profile

🎓 Education

Xiang Zhengrong has a strong academic foundation in engineering and automation. She earned her Master’s degree in Control Science and Engineering 🎓 from Guangxi University of Science and Technology (2019-2022). Before that, she completed her Bachelor’s degree in Electrical Engineering and Automation ⚡ from Chongqing Three Gorges University (2017-2019). Her early technical education began at Chongqing Vocational and Technical College of Industry and Trade (2014-2017), where she specialized in Refrigeration and Air-conditioning Technology ❄️.

💼 Experience

Since July 2022, Xiang Zhengrong has been a full-time faculty member at Guangxi Science and Technology Normal University 📚. She has also served as a visiting teacher at the School of Automation, Guangxi University of Science and Technology 🏛️. With a keen interest in automation and UAV simulation, she has worked on multiple research projects related to UAV flight control, semi-physical simulation systems, and industrial automation technologies 🔬.

🏆 Awards and Honors

Xiang Zhengrong has actively contributed to research and academia, earning recognition for her work. She has secured funding for multiple research projects, including collaborations with Shenzhen Silop Technology Co., Ltd., and has received research grants from the Guangxi Education Science “14th Five-Year Plan” 📜. Her contributions to UAV technology and automation research have been widely recognized within academic and industrial communities 🏅.

🔬 Research Focus

Her primary research interests revolve around Unmanned Aerial Vehicle (UAV) Systems, Control Theory, and Automation ✈️. She specializes in semi-physical simulation systems, flight controller development, and innovative training models for engineering students 🎯. She has also participated in key projects related to electromagnetic interference technologies, capacitive touchscreens, and AI-driven microgrid control systems ⚙️.

🔖 Conclusion

With a passion for engineering and innovation, Xiang Zhengrong continues to push the boundaries of UAV system research and automation 🚀. As a dedicated educator and researcher, she actively contributes to cutting-edge technological advancements and interdisciplinary collaborations. Her scientific publications in reputed journals and research project involvements highlight her commitment to excellence in automation and aerospace control systems 🌍.

📚 Publications

New Generalization and Refinement of the Local Fractional Integral Cauchy–Schwartz Inequality on Fractal Space – Thermal Science, 2025 (In press, SCI Journal)

Hölder Type Inequality for Conformable Fractional Integral and Some Related Results – Thermal Science, 2025 (In press, SCI Journal) 🔗

An improved UWB indoor positioning approach for UAVs based on the dual-anchor model – Sensors, 2025 (In press, SCI Journal) 🔗

Design of DC motor position tracking system based on LQR – Journal of Physics: Conference Series, 2021 🔗

Time Series Generation Adversarial Network Controller Based on Optimal Control of Micro-Grids – 2nd International Conference on Futuristic Technologies (INCOFT), 2023 🔗 [DOI: 10.1109/INCOFT60753.2023.10425311]

Design of hardware-in-the-loop simulation system based on Pixhawk flight control – Journal of Physics: Conference Series, 2021 🔗

Dr. Pengtao Song | Control Science | Best Researcher Award

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Dr. Pengtao Song | Control Science | Best Researcher Award

Student, Xi’an Jiaotong University, China

Pengtao Song is a dedicated Ph.D. student at Xi’an Jiaotong University, China, specializing in Control Science and Engineering. With a strong foundation in automation from Northeastern University, he has been actively involved in groundbreaking research in cyber-physical systems, networked control, and intelligent control of industrial processes. His expertise extends to the diagnosis and control of mechatronic systems, with a focus on improving the robustness and efficiency of complex engineering networks. As a member of the Chinese Association of Automation (CAA), Pengtao continues to contribute significantly to the field of control engineering.

Publication Profile

🎓 Education

Pengtao Song earned his B.S. degree in Automation from Northeastern University, Qinhuangdao, China, in 2020. Currently, he is pursuing his Ph.D. in the Faculty of Electronics and Information Engineering at Xi’an Jiaotong University, where he focuses on cyber-physical systems and networked control.

💼 Experience

Pengtao has been actively engaged in advanced research projects, including the prestigious National Science and Technology Major Project of China. His collaboration with the Logistics Science and Innovation Integration Development Research Center at Xi’an Jiaotong University has further enriched his experience in applied research and industrial innovation. His work has been recognized in high-impact journals such as Aerospace Science and Technology, IEEE Transactions on Automation Science and Engineering, and Nonlinear Dynamics, demonstrating his expertise in system modeling and intelligent control.

🏆 Awards and Honors

Pengtao Song’s outstanding contributions to control engineering have earned him recognition in the academic community. His publications in SCI and Scopus-indexed journals have made a significant impact, contributing to the advancement of cyber-physical systems. His research excellence has positioned him as a strong candidate for the Best Researcher Award in the field of Computer Science.

🔍 Research Focus

Pengtao’s research is centered on ensuring the efficient scheduling and robust operation of aero-engine networked systems. His work addresses challenges such as model perturbation, external disturbances, and communication delays, offering innovative control strategies like sliding mode control (SMC), H∞ control, fuzzy control, and data-driven control. His findings enhance the response performance of complex engineering systems, making significant contributions to the field of control and automation.

🚀Conclusion

Pengtao Song is an emerging leader in the field of control science and automation, contributing cutting-edge solutions to complex engineering challenges. His research in robust control strategies for networked systems has been widely recognized in top-tier journals, making a significant impact in the domain. As he continues his Ph.D. journey, his work promises to drive advancements in intelligent control, cyber-physical systems, and industrial automation.

📚 Publications

Pengtao Song has published extensively in leading journals and conferences, contributing valuable insights into control science and automation. Some of his notable works include:

Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties – IEEE Transactions on Automation Science and Engineering (2025)
DOI: 10.1109/TASE.2024.3350020

Charge or Pick Up? Optimizing E-Taxi Management: A Dual-Stage Heuristic Coordinated Reinforcement Learning Approach – IEEE Transactions on Automation Science and Engineering (2024)
DOI: 10.1109/TASE.2024.3486342

Model-free event-triggered resilient control for discrete-time nonlinear systems under sparse actuator attacks via GrHDP – Nonlinear Dynamics (2024)
DOI: 10.1007/s11071-024-10477-2

Observer-based H∞ Sliding Mode Control for Networked Systems with Stochastic Communication Protocol and Packet Loss– 14th Asian Control Conference (ASCC 2024)
EID: 2-s2.0-85205697035

TAMTL: A Novel Meta-Transfer Learning Approach for Fault Diagnosis of Rotating Machinery – 14th Asian Control Conference (ASCC 2024)
EID: 2-s2.0-85205678502

Fuzzy H∞ robust control for T-S aero-engine systems with network-induced factors under round-robin-like protocol – Aerospace Science and Technology (2023)
DOI: 10.1016/j.ast.2023.108258

Observer-based output feedback control for networked systems with dual-channel event-triggered sampling and quantization – Journal of the Franklin Institute (2022)
DOI: 10.1016/j.jfranklin.2022.07.042

Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

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Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

Associate Professor, Hunan Institute of Science and Technology, China

Dr. Jianhui Wu is an accomplished Associate Professor at the Hunan Institute of Science and Technology, China. With a strong background in system control, optimization, and visual navigation, he has made significant contributions to the field of autonomous systems. His research focuses on advanced control technologies, particularly in multi-agent systems and obstacle avoidance. As an IEEE member, Dr. Wu actively collaborates with the scientific community, publishing impactful studies in high-ranking journals. His work is widely cited, showcasing his influence in the academic and industrial sectors.

Publication Profile

🎓 Education

Dr. Wu earned his Ph.D. from Changsha University of Science and Technology, China, in 2019. His doctoral research laid the foundation for his expertise in system control, signal processing, and visual navigation. His academic journey has been marked by a deep commitment to solving complex problems in autonomous systems and optimization.

💼 Experience

Currently serving as an Associate Professor, Dr. Wu is affiliated with the School of Information and Communication at Guilin University of Electronic Technology. Over the years, he has led several research projects funded by the Zhuang Autonomous Region, working on cutting-edge control mechanisms for autonomous multi-agent systems. His contributions span both theoretical advancements and practical applications in the fields of artificial intelligence, automation, and transportation optimization.

🏆 Awards and Honors

Dr. Wu’s work has been widely recognized, with multiple grants supporting his research in intelligent systems and control optimization. His research output has earned high citations in SCI-indexed journals, further cementing his reputation as a leading researcher in his domain.

🔬 Research Focus

Dr. Wu’s research primarily revolves around system control and optimization, visual navigation, and signal processing. His groundbreaking studies on multi-agent autonomous systems explore innovative flocking control mechanisms that enhance obstacle avoidance, navigation, and collaborative behaviors. His research has contributed to designing efficient, self-organizing, and adaptive autonomous systems, essential for advancements in robotics and artificial intelligence.

📌 Conclusion

Dr. Jianhui Wu is a dedicated researcher whose contributions to system control and multi-agent coordination continue to shape the future of automation and intelligent transportation. With numerous publications in top-tier journals and significant industry collaborations, his work is paving the way for smarter, more autonomous systems.

📚 Publications 

Fuzzy Flocking Control for Multi-Agents Trapped in Dynamic Equilibrium Under Multiple Obstacles – International Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Virtual-Leader Split/Rejoin-Based Flocking Control With Obstacle Avoidance for Multi-Agents – International Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Anonymous Flocking With Obstacle Avoidance via the Position of Obstacle Boundary Point – IEEE Internet of Things Journal, 2024 (DOI: 10.1109/jiot.2024.3465881)

Obstacle Boundary Point and Expected Velocity-Based Flocking of Multiagents with Obstacle Avoidance – International Journal of Intelligent Systems, 2023 (DOI: 10.1155/2023/1493299)

Optimization Scheme of Fine Toll and Bus Departure Quantity for Bottleneck Congestion Management – Complexity, 2021 (DOI: 10.1155/2021/5518502)

Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/6665161)

Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/9191834)

Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/4190632)

A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed Regulation – IEEE Access, 2020 (DOI: 10.1109/access.2019.2962864)

Robust Optimization of Sequence Decision in Urban Road Construction – Computer Science, 2018

 

 

IDRISS DAGAL | Electrical Engineering | Best Researcher Award

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Dr. IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Assistant Professor, Istanbul Beykent University, Turkey

Dr. Idriss Dagal, an Assistant Professor at Istanbul Beykent University, is a researcher and engineer from Chad specializing in Electrical Engineering, Renewable Energy, and Artificial Intelligence. With a career spanning over a decade, he has worked in various roles, including Aircraft Engineer and Lecturer, and has contributed extensively to the field of electrical systems, power electronics, and optimization algorithms. His academic journey includes a Ph.D. from Yıldız Technical University, Istanbul, Turkey, where he also completed his MSc in Avionics Engineering. Dr. Dagal has authored over 30 publications and is an active reviewer for renowned journals. 🌍💡

Publication Profile

ORCID

Education:

Dr. Dagal holds a Bachelor of Science (B.S.) degree in Industrial and Maintenance Engineering from Mongo Polytechnic University (Chad, 2006), a Master of Science (M.Sc.) in Aviation Engineering from Ethiopian Airlines Aviation School (Ethiopia, 2010), and a Ph.D. in Electrical Engineering from Yıldız Technical University (Turkey, 2022). He is currently pursuing a second M.Sc. in Avionics Engineering at Yıldız Technical University. 🎓📚

Experience:

Dr. Dagal’s professional experience spans multiple countries and roles, including serving as an Aircraft Maintenance Engineer in Chad, a Lecturer at various institutions in Chad, and a Sales Engineer in Turkey. Since 2024, he has been serving as an Assistant Professor at Istanbul Beykent University, Turkey, specializing in electrical engineering, renewable energy, and avionics. 🛠️✈️

Awards and Honors:

Dr. Dagal has received several prestigious awards, including the Chad’s Government National Scholarship (2003), Ethiopian Airlines Aviation School International Scholarship (2008), Turkish Government International Scholarship (2015), Young Research Scholarship Award for Eurasia Research (2019), and the Leadership Skills African Civic Engagement Academy (2022). 🏆🌟

Research Focus:

Dr. Dagal’s research interests are centered on optimization algorithms, artificial intelligence, renewable energy systems, power electronics, and aircraft control systems. His doctoral research focused on optimizing photovoltaic battery charging systems using hybrid particle swarm-based algorithms. He has a strong background in developing control mechanisms for sustainable energy systems and dynamic systems in aviation. 🔋🔧🚀

Conclusion:

Dr. Idriss Dagal is an accomplished academic and researcher who combines his expertise in electrical and aerospace engineering with a deep commitment to renewable energy and technology optimization. His interdisciplinary work continues to contribute to advancements in energy systems, aircraft control, and smart technologies. 🌱💻

Publications 

Energy transfer from PV panel to Battery via Buck-Boost Converter, International Journal of Technology and Science, Vol. 5, Issue 3, pp. 46-60, 26 November 2019. DOI

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, International Journal of Energy Research, 2022; 1-18. DOI: 10.1002/er.7753. Impact Factor: 4.3, Q1.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization (PSOSSO) algorithm for battery charging through Simulink, Scientific Reports Journal, 2022; 12:2664. DOI. Impact Factor: 3.8, Q1.

A Novel Hybrid Series Salp Particle Swarm Optimization (SSPSO) for Standalone Battery Charging Applications, Ain Shams Engineering Journal, 2022; 13:10174. DOI. Impact Factor: 6, Q1.

Improved Particle Swarm Optimization based Buck-Boost converter (IPSOBBC) for Photovoltaic System Application, Recent Advances in Science & Engineering (RASE), 2022.

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems, Energy Storage Journal, 2022; e414, DOI. ESCI.

Secure and Optimized Satellite Image Sharing based on Chaotic eπ Map and Racah Moments” Expert Systems with Applications, Volume 236, February 2024, 121247, DOI: 10.1016/j.eswa.2023.121247. Impact Factor: 7.5, Q1.

Hybrid SSA-PSO-based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage, International Journal of Hydrogen Energy, Volume 51, Part C, 2 January 2024, Pages 348-370, DOI. Impact Factor: 8.1, Q1.

An Improved Constant Current Step-based Grey Wolf Optimization Algorithm for Photovoltaic Systems, Journal of Intelligent & Fuzzy Systems, 2024, DOI. Impact Factor: 1.7, Q3.

A Modified Multi-Stepped Constant Current Based on Grey Wolf Algorithm for Photovoltaics Applications, Springer, Electrical Engineering, 2024, DOI. Impact Factor: 1.6, Q3.