Jihong Wang | Data Science and Deep Learning | Best Academic Researcher Award

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Ms. Jihong Wang | Data Science and Deep Learning | Best Academic Researcher Award 

Ms. Jihong Wang, at The University of Hong Kong, China.

Jihong Wang is a robotics and autonomous systems engineer pursuing an MSE in Innovative Design and Technology at The University of Hong Kong (expected July 2025). With a robust foundation from a B. Eng in Robot Engineering at Beijing University of Technology (2020–2024; CGPA 3.49/4.0), Jihong combines theoretical excellence with real-world innovation. Their passion lies in intelligent transportation, UAV/robotic control systems, and federated learning. Through multiple competitive academic projects—ranging from autonomous intersection navigation to solar-tracking innovations—they demonstrate skill in MATLAB, STM32, and AI algorithms. Recipient of Huawei Future Star Scholarship (2023), national contest wins, and multiple patents, Jihong brings creativity, technical depth, and academic rigor. Their goal: to develop cutting-edge, robust control strategies that improve safety and efficiency in next-gen autonomous systems.

Professional Profile

Google Scholar

🎓 Education

Jihong’s academic journey began at Beijing University of Technology (Sep 2020–Jul 2024), where they earned a B. Eng in Robot Engineering with a CGPA of 3.49/4.0; a stellar junior-year CGPA of 3.85/4.0 reflected exceptional performance across modules. Key coursework included Data Structures & Algorithms (95), Modern Control Theory (89), Machine Vision (89), Multi‑Robot Modeling (96), Electric Machines & Motion Control (93), and High‑Level Programming (92), laying a strong theoretical and applied foundation. Building on this, Jihong began MSE studies in Innovative Design & Technology at The University of Hong Kong in September 2024, with expected graduation in July 2025. Here, advanced design methodologies, emerging technology applications, and multidisciplinary collaboration foster deeper expertise in autonomous system design and research innovation.

💼 Experience

Jihong’s practical experience encompasses academic, research, and professional roles. In academia, they’ve led projects such as autonomous intersection control, solar‑tracking STM32 systems, and robot‑car Bluetooth control, applying embedded systems and AI. Their professional engagements include roles at China Aerospace Standardization Institute (intern, Jun–Jul 2023), where they earned high marks (94/100) in standards integration and technical documentation; Bamba Technology Co. (editorial intern, Jul–Sep 2022), overseeing content revision and meeting summaries; and Orang International Translation Center (translation assistant, Sep–Oct 2020), converting multimedia content into accurate manuscripts. Each role showcases attention to technical detail, communication, and cross-functional teamwork. In graduate research ongoing since mid‑2024, Jihong is designing fault‑tolerant control systems for tiltrotor UAVs and federated‑learning algorithms. Their combined work experience supports their ambition to merge robotics, machine learning, and control theory into real‑world systems.

🔬 Research Interest

Jihong’s research focuses on advanced control, robotics, and distributed AI systems. Key interests include:

  • Model Predictive Control (MPC): Designing algorithms for UAVs and autonomous vehicles that account for disturbances and system uncertainties.

  • Fault‑tolerant control: Developing robust frameworks for tiltrotor UAVs experiencing partial power loss or mechanical failures.

  • Federated learning & fuzzy clustering: Creating privacy‑aware, distributed unsupervised learning models (e.g., ECM algorithm) for decentralized sensor networks.

  • Collaborative autonomy: Integrating real‑time traffic signal data with autonomous vehicle control to optimize safety and efficiency at intersections.

  • Embedded and aerial robotics: Deploying STM32‑based systems for solar tracking and robot arms and exploring innovations in aerial‑target detection and SLAM in dynamic environments.

Jihong combines control theory, machine vision, federated AI, and embedded systems to push the boundaries of intelligent, resilient, and cooperative robotic systems.

🏅 Awards

Jihong’s achievements include:

  • Winner, National Academic English Vocabulary Contest for College Students (2023)

  • Huawei Future Star Scholarship (2023)

  • Four utility‑model patents & two software copyrights (2022–2023)

  • School‑level Innovation & Entrepreneurship Awards (2022, 2023)

  • First Prize, School‑level Writing Contest Preliminaries (2022)

  • “S Award,” American University Mathematical Modeling Competition (2021)

  • Third Prize, School‑level Poetry Conference (2021)

  • Third Prize, University‑level Knowledge Contest (2020)

These honors reflect Jihong’s academic strength, innovativeness, and interdisciplinary excellence in technical writing, modeling, and creativity.

📄Top Noted Publications

Here are Jihong’s key publications (each listed with hyperlink, year, journal, and one-line citation count if available):

1. “Research on Autonomous Vehicle Control based on Model Predictive Control Algorithm”

  • Conference: IEEE ICDSCA 2024

  • Publisher: IEEE

  • Citations: 5

2. Feng et al., “Research on Move‑to‑Escape Enhanced Dung Beetle Optimization and Its Applications”

  • Journal: Biomimetics, 2024

  • Citations: 8

3. Wei et al., “AFO‑SLAM: an improved visual SLAM in dynamic scenes…”

  • Journal: Measurement Science and Technology, 2024

  • Citations: 6

4. Jia & Wang, “A Control Strategy and Simulation for Precision Control of Robot Arms”

  • Conference: ICIR 2024

  • Publisher: ACM

  • Citations: 3

5. Wang & Jia, “Research on UAV Trajectory Tracking Control Based on Model Predictive Control”

  • Conference: IEEE ICETCI 2024

  • Publisher: IEEE

  • Citations: 4

6. Xiong et al., “A Sinh Cosh Enhanced DBO Algorithm Applied to Global Optimization Problems”

  • Journal: Biomimetics, 2024

  • Citations: 7

7. Wang et al., “Research on the External Structure and Control System Design of Biomimetic Robots”

  • Conference: ICISCAE 2023

  • Publisher: IEEE

  • Citations: 2

📝 Under Review

8. “FAS‑YOLO: Enhanced Aerial Target Detection…”

  • Journal: Remote Sensing

  • Status: Under Review

9. Xu et al., “MASNet: Mixed Artificial Sample Network for Pointer Instrument Detection”

  • Journal: IEEE Transactions on Instrumentation and Measurement

  • Status: Under Review

Conclusion

Jihong Wang is a highly promising candidate for the Best Academic Researcher Award, especially in the student or early-career researcher category. The profile reflects a mature understanding of advanced robotics, intelligent systems, and real-world engineering problems, backed by publications, practical projects, and international experiences.

Dai Xiaomin | Data Science and Deep Learning | Best Researcher Award

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Prof. Dai Xiaomin | Data Science and Deep Learning | Best Researcher Award 

Professor, at Xinjiang University, China.

Professor Dai Xiaomin is a professor -level senior engineer at the School of Transportation Engineering of Xinjiang University . She has long been committed to the research of intelligent transportation, regional transportation economy and infrastructure . With a consistent education background in the field of transportation from undergraduate to doctoral level, she combines scientific research and engineering practice to promote the optimization of the transportation system and green and sustainable development in Xinjiang . She once worked at General Electric Company, engaged in engineering research and development, and accumulated rich practical experience. In recent years , she has presided over and participated in many national and autonomous region- level scientific research projects , and published many high-level papers in core journals at home and abroad . She focuses on the cross- integration research of transportation and regional development , and has achieved remarkable results in the fields of economic effects of transportation infrastructure , prediction of intelligent equipment , and optimization of spatial layout . 📊📈She actively participates in the integration of industry , academia and research , such as standard setting, software writing, and patent research and development , and continues to contribute wisdom and strength to the modernization of western transportation .

Professional Profile

Scopus

ORCID

🎓Education

Professor Dai ‘s educational journey spans multiple dimensions of transportation and regional economy, and her academic background is solid and extensive . She completed her undergraduate studies in transportation engineering at Beijing Jiaotong University from 2001 to 2005 , and then continued to pursue a master’s degree at the same university , with a research direction of intelligent transportation engineering, and graduated successfully in 2008. From 2019 to 2022 , she studied for a doctorate in regional economics at Xinjiang University of Finance and Economics , integrating macroeconomic perspectives into transportation system research and forming a comprehensive and cross-disciplinary research style . 📘📐The multi – level disciplinary background enables her to flexibly move between basic engineering and regional strategy , propose more strategic and practical research plans, and promote the deep integration and development of regional transportation and economy .

💼Experience

Professor Dai Xiaomin has rich and diverse work experience . From 2008 to 2011 , she worked as a research and development engineer at General Electric ( GE) , accumulating international vision and experience in corporate technological innovation . From 2011 to 2021 , she worked as a professor-level senior engineer in the Science and Technology Information Department of the Xinjiang Transportation Department , mainly engaged in transportation policies, scientific and technological projects and standard formulation , with a solid practical foundation . Since 2021 , she has joined the School of Transportation Engineering of Xinjiang University as a professor – level senior engineer , actively engaged in scientific research and talent training. 💻🔬Her career path runs through multiple levels of scientific research, industry and education , and has formed a systematic capability system in transportation engineering , project management and scientific research organization .

🔍Research Interests

Professor Dai ‘s research interests focus on transportation system optimization , regional economic development, intelligent transportation and sustainable transportation technology . She focuses on the impact mechanism of transportation infrastructure on regional economic differences , and is good at using big data and machine learning methods to predict and optimize transportation equipment parameters . In recent years , her research covers highway slope hazard identification, steel slag resource utilization , PPP transportation project risk management , etc., fully reflecting the ” air- space- ground” collaborative concept. 🌏🚗 She has also made important progress in cross-border transportation corridors, optimization of tourist camp spatial layout and other fields , reflecting her interdisciplinary and problem – oriented research characteristics. She is committed to promoting the green and efficient development of transportation infrastructure and promoting the integration of Xinjiang and the Silk Road Economic Belt .

🏆Awards

Professor Dai Xiaomin won the Xinjiang Uygur Autonomous Region Outstanding Doctoral Dissertation Award in recognition of her outstanding contribution to the study of the economic impact of transportation infrastructure. In addition, as a key member, she participated in the “Research and Application of Key Technologies for Highway Construction in Arid Desert Areas ” project and won the first prize of provincial and ministerial scientific and technological progress . She also participated in the drafting of a number of local technical standards in Xinjiang , such as the “ Technical Specifications for Off – site Supervision System for Overloaded Freight Vehicles ” and the ” Technical Regulations for Maintenance of Bridge Expansion Devices on Xinjiang Expressways ” , etc. , playing a key role in the construction of industry standardization . 📜📌She was selected for the China Scholarship Council Western Talent Special Project, and represented the country to conduct cooperative research overseas. She also owns a number of software copyrights and invention patents, covering innovative achievements such as transportation geographic big data and road network gradient optimization , fully demonstrating her scientific research transformation and engineering contributions.

📚Top Noted Publications

Professor Dai has published a number of academic papers with international influence in the past five years :

1. Study on the Evolution of Transportation Network and Accessibility in Desert Oasis Areas: A Case Study of the Urban Agglomeration on the Northern Slope of Tianshan Mountains

  • Authors: Dai Xiaomin, Gao Zhigang, Sun Yongqiang, Lin Qiang, Chen Jie

  • Journal: Journal of Arid Land Resources and Environment, 35(09), 66-74

  • Year: 2021

  • DOI: Not provided in the available sources

  • Summary: This study examines the evolution of transportation networks and accessibility in desert oasis areas, focusing on the urban agglomeration on the northern slope of the Tianshan Mountains. The research analyzes the development patterns and challenges of transportation infrastructure in arid regions.

2. The Impact of Transportation Infrastructure on Regional Economic Disparity from a Life Cycle Perspective: Transmission Mechanism and Empirical Test

  • Authors: Gao Zhigang, Dai Xiaomin, Ke Wei

  • Journal: Journal of Shandong University (Philosophy and Social Sciences), 2021(06), 94-106

  • Year: 2021

  • DOI: Not provided in the available sources

  • Summary: This paper investigates the impact of transportation infrastructure on regional economic disparity, employing a life cycle perspective. It explores the transmission mechanisms and provides empirical tests to understand how transportation development influences economic inequalities.

3. Elucidating Price Variability Drivers in Highway Electromechanical Equipment Using CV Predictions with PSO-XGBoost

  • Authors: Dai Xiaomin, Liu Linxuan, Cheng Zhihe

  • Journal: Alexandria Engineering Journal, 109, 754-767

  • Year: 2024

  • DOI: Not provided in the available sources

  • Summary: This research identifies the drivers of price variability in highway electromechanical equipment. It utilizes CV predictions combined with Particle Swarm Optimization (PSO) and Extreme Gradient Boosting (XGBoost) to model and analyze price fluctuations in the sector.

4. Optimizing Spatial Layout of Campsites for Self-Driving Tours in Xinjiang: A Study Based on Online Travel Blog Data

  • Authors: Dai Xiaomin, Zhang Qihang

  • Journal: Sustainability, 16(10), 4176

  • Year: 2024

  • DOI: 10.3390/su16104176

  • Summary: This study aims to enhance the attractiveness of tourism in Xinjiang by constructing an evaluation system for the layout of self-driving camps based on online travel blog data. It employs methods such as literature review, surveys, ArcGIS spatial analysis, and web text analysis to identify spatial imbalances and propose sustainable development strategies. MDPI+3MDPI+3OUCI+3

5. Research on Optimization Strategies of Regional Cross-Border Transportation Networks—Implications for the Construction of Cross-Border Transport Corridors in Xinjiang

  • Authors: Dai Xiaomin, Liu Menghan, Lin Qiang

  • Journal: Sustainability, 16(13), 5337

  • Year: 2024

  • DOI: 10.3390/su16135337

  • Summary: This paper explores optimization strategies for regional cross-border transportation networks, focusing on the construction of cross-border transport corridors in Xinjiang. It provides insights into enhancing connectivity and facilitating economic integration through improved transportation infrastructure. MDPI

Conclusion 

代晓敏 exhibits a strong and well-rounded research profile with clear leadership in project execution, recognized academic output, policy and technical standard contributions, and significant real-world impact, particularly in western China. His consistent role as a first author, project leader, and technical innovator underscores his intellectual independence, innovation capacity, and contribution to public infrastructure development.