Kaan Koçali | Health Professions | Best Researcher Award

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Best Researcher Award

Kaan Koçali
Istanbul Gelisim University, Turkey
Kaan Koçali
Affiliation Istanbul Gelisim University
Country Turkey
Google Scholar ID MAgOT4kAAAAJ
Documents 80
Citations 197
h-index 6
Subject Area Health Professions
Event Global Innovation Technologist Awards
ORCID 0000-0002-1329-6176

The Best Researcher Award recognition highlights the scholarly activities and academic contributions of Kaan Koçali from Istanbul Gelisim University. His research portfolio primarily focuses on occupational health and safety management, workplace inspection systems, ergonomics, risk assessment methodologies, and public health policy analysis within industrial and institutional environments. His recent publications and conference presentations demonstrate a consistent engagement with emerging occupational safety frameworks, European Union harmonization policies, and digitalized risk management systems in health professions and industrial safety research.[1]

Abstract

Kaan Koçali has contributed to the interdisciplinary study of occupational health and safety through conference papers, journal publications, and analytical research concerning workplace risk management and institutional safety systems. His academic works examine labor inspection mechanisms, migration-related occupational challenges, industrial risk assessment models, and ergonomics applications. Several studies additionally address policy adaptation processes associated with European Union occupational standards and ISO 45001 management frameworks.[2]

Keywords

Occupational Health and Safety, Risk Assessment, Ergonomics, ISO 45001, Workplace Inspection, Labor Policy, Industrial Safety, Public Health Research

Introduction

Recent developments in occupational health research have emphasized the necessity of systematic safety governance and preventive risk analysis across multiple industries. Kaan Koçali’s studies contribute to this evolving field by addressing workplace inspections, occupational hazards, migration-related labor risks, and organizational safety adaptation processes. His academic activities reflect an interest in integrating international standards with local occupational health applications in Türkiye and surrounding regions.[3]

Research Profile

The researcher has published studies related to workplace inspections under International Labour Organization conventions, anthropometric evaluations for aviation personnel, and occupational risk assessments in mining and transportation sectors. His publication record also includes analyses of daylight saving time transitions and their influence on workplace accident frequencies. These works demonstrate methodological diversity combining policy analysis, ergonomics, statistical evaluation, and occupational management systems.[4]

Research Contributions

  • Examined occupational safety policies within the European Union harmonization framework.
  • Investigated occupational risks encountered by migrant workers and vulnerable labor groups.
  • Applied ISO 45001 approaches to air logistics and industrial safety management.
  • Developed analytical studies concerning workplace inspections and risk assessment systems.
  • Contributed to ergonomics and occupational safety applications in transportation and mining sectors.

Publications

  • OCCUPATIONAL HEALTH AND SAFETY RISK ASSESSMENT FOR ENTREPRENEURS, European Journal of Managerial Research, 2024.
  • WORKPLACE INSPECTIONS IN TURKEY CONDUCTED WITHIN THE SCOPE OF ILO LABOR INSPECTION CONVENTION, Asya Studies, 2024.
  • TOPSIS Method Application for Personal Protective Equipment Selection, Social Sciences Studies Journal, 2023.
  • The Effects of Daylight Saving Time Transition Cancelation on Work Accidents of Turkey, International Journal of Occupational Safety and Ergonomics, 2023.

Research Impact

The academic contributions of Kaan Koçali support ongoing discussions concerning occupational health governance, workplace safety culture, and institutional compliance with international standards. His work has relevance for policymakers, occupational safety practitioners, and industrial management researchers. Through conference participation and journal publications, his studies contribute to practical understanding of risk mitigation and safety optimization processes in diverse professional environments.[5]

Award Suitability

The Best Researcher Award recognizes scholarly consistency, publication activity, and subject-oriented academic engagement. Kaan Koçali’s documented research output, interdisciplinary occupational safety studies, and international conference participation align with the evaluation objectives commonly associated with global academic recognition initiatives. His work reflects sustained research productivity within occupational health and safety scholarship.[6]

Conclusion

Kaan Koçali has established a developing academic profile through research focused on occupational safety systems, industrial ergonomics, and policy-oriented workplace studies. His publications and conference papers indicate continuing engagement with occupational health management challenges and evolving international safety standards. The scope and thematic consistency of his research support his recognition within contemporary health professions scholarship.

References

  1. Elsevier. (n.d.). Scopus author details: Kaan Koçali, Author ID MAgOT4kAAAAJ. Scopus.
    https://scholar.google.com.tr/citations?user=MAgOT4kAAAAJ
  2. Koçali, K. (2024). Occupational Health and Safety Risk Assessment for Entrepreneurs. European Journal of Managerial Research.
    https://doi.org/10.62666/eujmr.1563551
  3. Koçali, K. (2024). Workplace Inspections in Turkey Conducted within the Scope of ILO Labor Inspection Convention. Asya Studies.
    https://doi.org/10.31455/asya.1419324
  4. Koçali, K. (2023). Anthropometric Analysis of Cabin Crew Selection Criteria Based on A380 Aircraft Model. Ergonomi.
    https://doi.org/10.33439/ergonomi.1296025
  5. Koçali, K. (2023). The Effects of Daylight Saving Time Transition Cancelation on Work Accidents of Turkey. International Journal of Occupational Safety and Ergonomics.
    https://doi.org/10.1080/10803548.2023.2221590
  6. Zenodo. (2024). Occupational Safety in Chemicals on the Road to European Union Membership: REACH Directive Review.
    https://doi.org/10.5281/ZENODO.13351752

Jessica De Paiva | Computer Science and Artificial Intelligence | Outstanding Contribution Award

Published on by Innovation Technologist

Outstanding Contribution Award

Jessica De Paiva
Known Systems, United Arab Emirates
Jessica De Paiva
Affiliation Known Systems
Country United Arab Emirates
Documents 30
Subject Area Computer Science and Artificial Intelligence
Event Global Innovation Technologist Awards
ORCID 0009-0006-2438-2236

Jessica De Paiva is a researcher and systems strategist associated with Known Systems in the United Arab Emirates. Her professional work integrates operational governance, artificial intelligence, organisational systems, and collaborative technology frameworks. Through interdisciplinary research activities, she has contributed to the development of governance-oriented AI architectures, operational accountability systems, and human-centred technology frameworks intended to improve decision transparency and institutional coordination.[1]

Abstract

This article documents the professional background, research direction, and technological contributions of Jessica De Paiva within the fields of computer science, operational systems, and artificial intelligence governance. Her work explores the integration of human-centred systems with structured AI governance models, focusing on accountability, collaborative infrastructure, and predictive organisational frameworks. The presented profile also evaluates her suitability for recognition through the Outstanding Contribution Award presented at the Global Innovation Technologist Awards.[2]

Keywords

Artificial Intelligence Governance, Human-Centred Systems, Organisational Strategy, Predictive Frameworks, Operational Accountability, AI Ethics, Collaborative Systems.

Introduction

Jessica De Paiva has developed a multidisciplinary profile combining operational management experience with emerging technology research. Her work investigates how organisational systems can be aligned with well-being, transparency, and measurable performance metrics. A recurring theme within her research is the concept of “systems failure,” which she identifies as a catalyst for advancing more adaptive and auditable technology infrastructures.[3]

Research Profile

Her professional experience includes positions in operational leadership, information technology, and research and development. At Known Systems, she serves as Founder and Developer with a focus on software research and governance structures. In parallel, she has participated in independent research initiatives and international professional communities related to data science and emerging technologies.[4]

  • Founder and Developer at Known Systems.
  • CTIO at JAR Management Services LLC.
  • Independent Research and Development contributor.
  • Participant in Women in Data Science Worldwide initiatives.

Research Contributions

De Paiva’s documented works include frameworks for runtime governance architectures, AI fairness pipelines, subgroup surveillance systems, and attestation-linked release governance. These contributions examine methods for increasing transparency and traceability in clinical, financial, and public administration AI systems.[5]

Her proposed methodologies emphasise predictive operational analysis, communication entropy reduction, and coordinated multi-department systems. Several works also investigate ethical auditing mechanisms and structured telemetry approaches intended for safety-critical environments.[6]

Publications

  • Real-Time Collaborative Policy Governance, Autonomous Agent Containment, and Advanced Mathematical Telemetry Framework.
  • A Runtime Governance Architecture for Clinical AI: Policy Gating, Auditability, and Release Attestation.
  • API-Led Integration of Legacy and Modern Clinical Data Systems.
  • Applying IUE to Financial Services AI: Fairness, Explainability, and Auditable Decision Pipelines.

Research Impact

The research profile demonstrates a focus on practical governance systems that may support accountability in AI-enabled environments. Her work contributes to discussions surrounding responsible AI implementation, interdisciplinary systems integration, and measurable operational transparency. These themes are increasingly relevant within international technology governance discourse and organisational transformation strategies.[2]

Award Suitability

Jessica De Paiva’s portfolio aligns with the objectives of the Outstanding Contribution Award due to her interdisciplinary engagement in AI governance, organisational systems, and collaborative technology development. Her documented inventions and governance-oriented methodologies indicate sustained participation in advancing accountable and human-centred technology systems.[5]

Conclusion

The academic and professional activities associated with Jessica De Paiva reflect a systems-oriented approach to artificial intelligence, governance modelling, and organisational infrastructure. Her work contributes to emerging discussions concerning ethical AI deployment, operational accountability, and integrated governance systems within modern digital environments.

References

  1. ORCID. (n.d.). Jessica De Paiva professional profile and research activities.
    orcid.org/0009-0006-2438-2236
  2. Global Innovation Technologist Awards. (n.d.). Award categories and recognition criteria.
    innovationtechnologist.com
  3. De Paiva, J. (2026). Systems governance and operational alignment frameworks.
  4. Known Systems. (2026). Research and development initiatives in operational intelligence.
  5. Elsevier. (n.d.). Scopus author details: Jessica De Paiva, Author ID INSERT. Scopus.
  6. International Journal of Artificial Intelligence Governance. (2025). Operational accountability and AI governance methodologies.

Devender Singh | Robotics and Automation | Young Innovator Award

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Mr. Devender Singh | Robotics and Automation | Young Innovator Award

Uttaranchal University | India

Mr. Devender Singh is an emerging researcher in Internet of Things (IoT), Artificial Intelligence (AI), and smart device engineering, with a strong focus on real-time monitoring systems and intelligent automation. His work integrates embedded systems, wireless communication, and cloud-based analytics to develop scalable, application-oriented solutions across domains such as smart agriculture, healthcare, surveillance, and environmental monitoring. He has contributed to multiple patents and interdisciplinary innovations, emphasizing practical deployment and societal impact. His research also extends to AI-driven diagnostics, edge computing, and blockchain-integrated IoT systems, demonstrating a commitment to advancing next-generation intelligent infrastructure and sustainable technological ecosystems.

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View Google Scholar Profile  View ORCID Profile

Featured Publications


Secure and smart healthcare system using IoT and deep learning models

– International Conference on Technological Advancements, 2022 | Cited by: 121

Mg-based metal matrix composite in biomedical applications: a review

– Materials Today: Proceedings, 2023 | Cited by: 19 

Hosu Lee | Intelligent Robotics | Best Researcher Award

Published on by Innovation Technologist

Prof. Dr. Hosu Lee | Intelligent Robotics | Best Researcher Award

Assistant Professor at Gyeongsang National University | South Korea

Dr. Hosu Lee is a robotics researcher specializing in dynamics, vibration, and intelligent rehabilitation systems, with a strong background in mechatronics, medical robotics, and human–robot interaction. His research focuses on the design, development, and evaluation of advanced robotic platforms that support physical rehabilitation, integrating haptic interfaces, AI-driven control algorithms, and biomechanical modeling. He has contributed to the creation of multiple rehabilitation robots, including omnidirectional treadmill systems, upper-body and trunk rehabilitation platforms, and lower-limb gait devices based on innovative mechanical architectures. His work bridges engineering and clinical neuroscience through extensive experimentation with both healthy users and rehabilitation patients in collaboration with leading medical and engineering institutes. Dr. Lee’s research portfolio includes the development of intelligent robotic systems capable of delivering personalized therapy through adaptive control, sensor fusion, and real-time kinematic and kinetic feedback. His ongoing work integrates artificial intelligence to enhance motion prediction, user intention estimation, and therapy outcome optimization within rehabilitation robotics. He has participated in several national and international research collaborations with multidisciplinary teams spanning rehabilitation engineering, clinical medicine, and robotic system design. His contributions have resulted in peer-reviewed journal and conference publications as well as registered patents in the field of medical robotics. Through his experience in designing novel robotic mechanisms, leading experimental validation studies, and contributing to collaborative innovation environments, Dr. Lee continues to advance next-generation rehabilitation robotics aimed at improving patient recovery and functional mobility.

Profile: Orcid

Featured Publications

1. Nam, K., Lee, J. Y., Park, S. H., Hwang, H. W., Lee, H.-S., Oh, K., Hong, H. S., Kim, K., Park, J. H., Hong, S. W., et al. (2025). Prevalence and risk factors of gallstone disease in Korean patients with ulcerative colitis. Intestinal Research.

2. Lee, H.-S., Lee, Y., Baek, J., Kim, Y., Park, S., Jung, S., Lee, J. G., Baek, I.-J., Kim, K., Hwang, S. W., et al. (2025). Nonlesional ileal transcriptome in Crohn’s disease reveals alterations in immune response and metabolic pathway. Journal of Gastroenterology and Hepatology.

3. Park, J. E., Oh, J. Y., Park, D. H., Lee, H.-S., Yoon, S., Kim, N., Park, S. Y., Song, S. W., Kim, Y.-H., Hong, C.-K., et al. (2025). Mapping tumor habitats in isocitrate dehydrogenase–wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project. Neuro-Oncology.

4. Khrom, M., Li, D., Naito, T., Lee, H.-S., Botwin, G. J., Potdar, A. A., Boucher, G., Yang, S., Mengesha, E., Dube, S., et al. (2023). Sex-dimorphic analyses identify novel and sex-specific genetic associations in inflammatory bowel disease. Inflammatory Bowel Diseases.

5. Kim, K., Hwang, S. W., Lee, J. L., Lee, H.-S., Ye, B. D., Yoon, Y. S., Park, S. H., Yang, S.-K., Baek, J., Kim, Y., et al. (2023). Transcriptomic profiling and cellular composition of creeping fat in Crohn’s disease. Journal of Crohn’s and Colitis.

Ruiming Xie | Robotics | Best Researcher Award

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Dr. Ruiming Xie | Robotics | Best Researcher Award

Student at Nanjing University of Science and Technology | China

Ruiming Xie is a dedicated researcher in the field of control theory, with a strong focus on stochastic nonlinear systems. She holds a master’s degree from Shandong University, China, and is currently pursuing her doctoral studies at Nanjing University of Science and Technology. Her academic journey reflects a deep commitment to advancing theoretical and applied aspects of control systems, particularly in the context of uncertainty and complex dynamical environments. Through rigorous research and innovative approaches, she has contributed valuable insights that enhance the understanding and development of stochastic control methodologies. Ruiming Xie has authored and co-authored multiple research papers, with 11 published documents that have collectively received 121 citations from 104 sources, demonstrating the impact and recognition of her work within the scientific community. Her research contributions have appeared in highly respected international journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, the International Journal of Systems Science, and SCIENCE CHINA Information Sciences. She currently holds an h-index of 6, reflecting both the quality and influence of her scholarly output. Her work demonstrates a high level of analytical skill, mathematical precision, and a passion for solving intricate problems in system dynamics and automation. With her continuous pursuit of academic excellence, Ruiming Xie aims to expand the frontiers of control theory and its applications in real-world systems, fostering advancements that bridge the gap between theoretical models and practical engineering solutions. Her growing scholarly record underscores her potential as an emerging leader in control systems research, with a strong commitment to innovation, collaboration, and scientific progress.

Profile: Scopus

Featured Publications

Automatica. (2024). Erratum: Retraction notice to “Fixed-time Lyapunov criteria of stochastic nonlinear systems revisited and its applications” [Automatica 170 (2024) 111866]. Automatica, 170, S0005109824003601.

Mengya Li | Technology Innovation | Best Researcher Award

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Assoc. Prof. Dr. Mengya Li | Technology Innovation | Best Researcher Award

Associate Research Fellow at Sichuan University, China

Dr. Mengya Li is an accomplished academic and researcher, currently serving as an Associate Professor at Sichuan University. With a robust background in economics and finance, she has published extensively on topics related to technology incubation, enterprise innovation, and venture capital. Her recent research explores how technology platforms foster breakthrough innovations and how income inequality may influence social phenomena like marriage. Dr. Li is a recognized leader in her field, with numerous honors, including the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology in 2023 and the Sichuan Province High-level Talent Plan in 2024.

Her work has received support from prestigious funding sources such as the National Natural Science Foundation of China and the Sichuan Natural Science Foundation Project. Dr. Li is also active in service roles, including as a Standing Director of the Technology Incubation and Innovation Ecology Branch of the Chinese Society of Technology Economics and a Director of the Women Science and Technology Workers Committee. 🌱

Publication Profile : 

Scopus

Orcid

Educational Background 🎓

Mengya Li holds a Ph.D. in Economics (2019) from Chongqing University. She also earned her M.A. in Finance (2016) and B.A. in Economics (2014) from the same institution. Her solid educational foundation has paved the way for her extensive academic and professional career.

Professional Experience 💼

Dr. Mengya Li began her academic journey as an Assistant Professor at the School of Economics and Management at Tsinghua University (2020-2022). She currently serves as an Associate Professor at the Business School of Sichuan University since 2022. Her expertise lies in technology incubation, enterprise innovation, and venture capital, making her a prominent figure in the field of economic management and innovation studies.

Research Interests 🔬

Her research primarily focuses on technology incubation, enterprise innovation management, and venture capital. Dr. Li investigates how technological platforms, innovation ecosystems, and venture capital influence the performance and growth of entrepreneurial enterprises, with a particular interest in the impact of regional institutional environments on innovation and enterprise performance.

Publications 📚

  1. Zheng, Y., Zhou, B., Hao, C., Gao, R., & Li, M.* (2024). Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration. Technology in Society, 76, 102473.
  2. Song, Z., Cheng, Z., & Li, M.* (2024). Does income inequality restrain marriage? A longitudinal study from the 35 large and medium-sized cities of China. Cities, 152, 105200.
  3. Zou, J., Li, M.*, & Yang, D. (2024). Cold start and hot feedback: A knowledge sharing and governance model considering individual willingness from the perspective of prospect theory. Journal of Knowledge Management, Published online.
  4. Li, M., Yang, D.*, Zou, J., Hao, C., & Li, H. (2024). Research on enabling mechanism of technology platform enterprises to breakthrough key and core technologies of entrepreneurial enterprise clusters. Journal of Management Science, 37(2), 3-20.
  5. Li, M., Song, Z., & Hao, C. (2024). Research on the influence of technological alliance on entrepreneurial enterprise performance. Studies in Science of Science, 42(11), 2397-2408.
  6. Li, M., Zhang, Y., Yang, D., Hu, X., & Zhang, J. (2023). How does the incubation platform internal network improve entrepreneurial performance? A case study based on the dual perspective of resources and learning. Management Review, 35(9), 324-336.
  7. Li, M., Yang, D.*, Hu, X., & Zhang, J. (2022). How does the incubation platform realize resource co-development in the context of the internal network? Journal of Management World, 38(2), 169-187+11.
  8. Li, M., Yang, D., & Wang, Y. (2022). Value creation process of technology entrepreneurship incubation platform: A multi-case study. R&D Management, 34(2), 134-148.
  9. Li, M., Yan, T., & Hao, C. (2021). Venture capital, innovation output quality and enterprise performance: Based on the adjustment role of regional institutional environment. Science Research Management, 42(8), 168-175.
  10. Li, M., Yan, T., & Hao, C. (2021). Venture capital and internationalization of enterprise R&D: A study of China’s GEM listed companies. Science Research Management, 42(6), 1-8.

 

 

 

Xiao Wang | Embodied Intelligence | Best Researcher Award

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Prof. Dr. Xiao Wang | Embodied Intelligence | Best Researcher Award

Professor at Anhui University, China

Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖

Publication Profile : 

Scopus

Education 🎓

Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.

Professional Experience💼

Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗

Research Interests 🔬

Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.

Publications Top Notes 📚

  1. Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
  2. Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
  3. Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
  4. Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
  5. Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
  6. Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
  7. Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
  8. Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
  9. Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
  10. Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.