Ms. Conghui Hao | Decision-making and Problem-solving | Best Researcher Award

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Ms. Conghui Hao | Decision-making and Problem-solving | Best Researcher Award

University of Science and Technology Beijing, China

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Google Scholar

Early Academic Pursuits 📚

Conghui Hao’s academic journey began with her pursuit of a Master’s degree from North China Electric Power University, Baoding, where she graduated in 2017. During her Master’s program, she laid the foundation for her future research by developing a keen interest in communication systems and optimization algorithms. Her academic background provided her with a strong technical foundation in electrical engineering, which has been instrumental in shaping her research trajectory. With an innate passion for exploring the rapidly evolving field of unmanned aerial vehicles (UAVs), Conghui transitioned to the University of Science and Technology Beijing for her PhD, further advancing her understanding and expertise in UAV systems and their applications.

Professional Endeavors and Research Focus 💡

Currently, Conghui is a Ph.D. candidate at the University of Science and Technology Beijing, where her research interests have expanded to include UAV radio resource management, optimization algorithms, multi-agent deep reinforcement learning (DRL), and control and trajectory planning for UAV swarms. With the growing potential of UAVs in multiple industries—ranging from IoT-enabled data collection to military operations—Conghui’s research seeks to enhance the performance and capabilities of UAV systems, making them more efficient and intelligent.

One of her primary focuses is optimizing UAV communication and resource management systems, which is crucial for effective data transmission and real-time decision-making. Conghui has been exploring novel algorithms and methodologies to address the challenges of managing radio resources in a UAV network, especially when dealing with large-scale UAV swarms. Her work in this area also integrates deep reinforcement learning techniques, offering adaptive solutions that can continuously improve the system’s performance in dynamic environments. The potential of these innovative approaches is immense, as they have the ability to redefine UAV communication paradigms and optimize multi-agent interactions for a wide range of applications.

Contributions and Research Innovations 🔬

Conghui’s contributions to the academic and research community are notable, with 10 published journals, including high-impact articles indexed in SCI and Scopus. Her research has gained recognition from the global academic community, with one of her works—Joint optimization on trajectory, transmission, and time for effective data acquisition in UAV-enabled IoT—being cited 22 times in SCI. This paper, published in IEEE Transactions on Vehicular Technology (2022), represents a significant contribution to the intersection of UAVs and the Internet of Things (IoT), offering valuable insights on the optimization of data collection in UAV-based IoT networks.

In addition to her research publications, Conghui has filed for 3 patents, further demonstrating her commitment to transforming theoretical findings into practical, real-world applications. These patents are likely to play a pivotal role in advancing UAV technologies, providing solutions that improve UAV system performance, efficiency, and autonomy.

Accolades and Recognition 🏆

Conghui’s work has already received notable recognition within the research community. With a total of 55 citations in SCI, her contributions have been acknowledged by her peers, highlighting the relevance and importance of her research. The impact of her work extends beyond academia, with potential real-world applications that could revolutionize the UAV industry. The citation of her paper, Joint optimization on trajectory, transmission, and time for effective data acquisition in UAV-enabled IoT, underscores the significance of her research in advancing the integration of UAVs in modern IoT frameworks.

Despite still being early in her career, Conghui has earned a reputation for innovation and technical excellence in her field. Her combination of academic rigor and practical focus positions her as a rising star in the realm of UAV research.

Impact and Influence 🌍

Conghui’s research is paving the way for the next generation of UAV systems, particularly in areas like communication management, trajectory optimization, and the integration of machine learning techniques into UAV control systems. The impact of her work is especially apparent in the context of IoT, where UAVs play a crucial role in data acquisition, surveillance, and monitoring tasks.

As UAV systems become increasingly ubiquitous, Conghui’s focus on optimizing communication and resource management will have far-reaching consequences, not only improving the efficiency of UAV networks but also enabling smarter, more autonomous UAV systems that can interact with the environment in real time. This could have broad applications in industries such as agriculture, environmental monitoring, telecommunications, and logistics.

Moreover, her deep reinforcement learning algorithms will empower UAV swarms to adapt dynamically to various operational challenges, ensuring more robust and scalable UAV systems that are adaptable to changing environments and conditions.

Legacy and Future Contributions 🌟

As Conghui Hao continues her research, she is poised to make significant contributions to the UAV and IoT fields. Her work represents the cutting-edge of UAV optimization and control, and in the future, she aims to expand her research into more advanced areas, such as UAV-based 5G network deployment, swarm intelligence, and autonomous navigation systems.

Conghui’s drive to innovate and solve complex problems will undoubtedly leave a lasting legacy in the UAV research community. Her passion for advancing technology and her commitment to improving UAV systems will ensure that her work continues to have a lasting impact on industries and research communities for years to come.

📝Notable Publications

Incentive-based distributed resource allocation for task offloading and collaborative computing in MEC-enabled networks

Authors: G. Chen, Y. Chen, Z. Mai, C. Hao, M. Yang, L. Du
Journal: IEEE Internet of Things Journal
Year: 2022

Joint optimization on trajectory, transmission and time for effective data acquisition in UAV-enabled IoT

Authors: C. Hao, Y. Chen, Z. Mai, G. Chen, M. Yang
Journal: IEEE Transactions on Vehicular Technology
Year: 2022

A UAV air-to-ground channel estimation algorithm based on deep learning

Authors: Z. Mai, Y. Chen, H. Zhao, L. Du, C. Hao
Journal: Wireless Personal Communications
Year: 2022

Joint multiple resource allocation for offloading cost minimization in IRS-assisted MEC networks with NOMA

Authors: G. Chen, Y. Chen, Z. Mai, C. Hao, M. Yang, S. Han, L. Du
Journal: Digital Communications and Networks
Year: 2023

Computational Experiments and Comparative Analysis of Signal Detection Algorithms in Vehicular Ad Hoc Networks

Authors: Y. Li, C. Hao, Y. Xie, S. Han
Journal: IEEE Journal of Radio Frequency Identification
Year: 2024

Assist Prof Dr. Dragana & Kelin Draganac & Lu | Decision-making and Problem-solving | Best Researcher Award

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Assist Prof Dr. Dragana & Kelin Draganac & Lu | Decision-making and Problem-solving | Best Researcher Award

University of Belgrade – Faculty of Economics and Business, Serbia

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Orcid

Early Academic Pursuits 🎓

Dr. Dragana Draganac embarked on her academic journey at the University of Belgrade – Faculty of Economics and Business, where she demonstrated exceptional dedication to finance and economics. She earned her Bachelor’s degree in Finance, Banking, and Insurance (2004–2008) with an impressive GPA of 9.97/10.00. Her commitment to excellence continued in her Master’s studies (2008–2010), where she specialized in Accounting, Auditing, and Corporate Finance, graduating with a perfect GPA of 10.00/10.00. This strong academic foundation set the stage for her further pursuit of knowledge in behavioral and corporate finance.

Her intellectual curiosity led her to a Ph.D. in Economics (2011–2019) at the University of Belgrade, where she focused on the complexities of rational price bubbles in traditional and behavioral finance. Under the mentorship of Professor Miroslav Todorović, she conducted an experimental study that bridged the theoretical underpinnings of behavioral economics with real-world financial dynamics, achieving a remarkable GPA of 9.78/10.00.

Professional Endeavors 💼

Dr. Draganac’s professional career has been deeply intertwined with academia, where she has been instrumental in advancing knowledge and fostering critical thinking in finance. In July 2020, she was appointed Assistant Professor at the University of Belgrade – Faculty of Economics and Business, where she has since been actively involved in teaching, research, and mentorship.

Her academic reach extended beyond Serbia when she was invited as a Visiting Researcher at the Massachusetts Institute of Technology (MIT) from September 2018 to June 2019. This prestigious opportunity, extended by renowned scholar Dražen Prelec, allowed her to explore cutting-edge research in behavioral finance, further strengthening her expertise in experimental finance methodologies.

Contributions and Research Focus 🏆

Dr. Draganac’s research spans across behavioral and experimental finance, as well as corporate finance, where she has made significant contributions to understanding the role of monetary policy, market inefficiencies, and investor psychology in asset pricing.

Her book, “Behavioral Finance: Theory and Practice” (2024), published by the Publishing Centre of the University of Belgrade – Faculty of Economics and Business, provides a comprehensive exploration of behavioral finance principles and their practical applications, contributing to the academic and professional landscape in Serbia and beyond.

She has also co-authored “Monetary Policy and Cash Flow Irregularity as Drivers of Asset Price Bubbles: An Experimental Study” with Miloš Božović (2022). This work was featured in the “Handbook of Experimental Finance” (Edward Elgar Publishing), edited by Eyal Haruvy and Sven Füllbrunn, showcasing her research on how monetary policy and liquidity constraints influence market bubbles.

Beyond books and invited publications, she has contributed to peer-reviewed journals, disseminating her findings to the global academic community.

Accolades and Recognition 🏅

Dr. Draganac’s dedication to excellence in finance has earned her recognition both nationally and internationally. Her time at MIT marked a milestone in her career, reinforcing her position as a leading researcher in behavioral finance.

She has been actively involved in academic conferences, presenting her findings to esteemed economists and financial scholars. Her contributions have influenced policymakers and corporate leaders, bridging the gap between academic research and financial decision-making.

Impact and Influence 💡

As an educator, Dr. Draganac has mentored numerous students, guiding them through the intricacies of finance and inspiring the next generation of economists. Her research on rational price bubbles and behavioral finance has provided valuable insights into market anomalies, equipping both academics and practitioners with tools to navigate financial markets more effectively.

Her influence extends beyond the university, as she actively participates in research collaborations, workshops, and policy discussions, shaping the future of finance through data-driven insights and experimental approaches.

Legacy and Future Contributions ✨

Looking ahead, Dr. Draganac aims to further expand her research on behavioral finance, experimental methodologies, and corporate financial decision-making. Her future projects will continue to explore the intersection of human psychology and financial markets, contributing to a more comprehensive understanding of financial behaviors and their implications.

With her strong academic background, international experience, and innovative research, Dr. Draganac remains at the forefront of financial academia, shaping the discourse on behavioral finance and experimental economics. Her work is poised to leave a lasting impact on both theoretical finance and its real-world applications, reinforcing her legacy as a thought leader in modern financial research.

📝Notable Publications

Draganac, Dragana & Todorović, Miroslav

Title: Are There Price Effects of Adding or Deleting Stock from the Stock Index?

Source: Contemporary Financial Management

Year: 2023

Draganac, Dragana & Grgurović, Ivan

Title: Kvazi-hiperboličko diskontovanje i odlučivanje: primer Srbije i Crne Gore

Source: Economic Policy in Serbia and the World in 2023

Year: 2023

Draganac, Dragana; Stanojević, Jelena; Kukić, Katarina; Vuksanović, Nemanja

Title: Applications of Logistic and Generalized Logistic Difference Equations in Economics: AK Model

Journal: The Teaching of Mathematics

Year: 2022

Draganac, Dragana; Jović, Danica; Novak, Ana

Title: Education and Digitalization: Economic Students’ and Pupils’ Self-Perception of Digital Competences

Journal: Business Systems Research

Year: 2022

Draganac, Dragana

Title: Heterogeneous Expectations of Investors and Stock Prices

Source: XLIX simpozijum o operacionim istraživanjima

Year: 2022

Dr. Inam Ullah Khan | Decision-making and Problem-solving | Excellence in Research

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Dr. Inam Ullah Khan | Decision-making and Problem-solving | Excellence in Research

Southern Methodist University, United States

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Google Scholar

Early Academic Pursuits 📚

Dr. Inam Ullah Khan’s academic journey is marked by a solid foundation in electrical and computer engineering, which led him to pursue a Ph.D. in Electrical and Computer Engineering. His profound interest in machine learning, intelligent systems, and energy optimization was shaped early in his academic career. During his undergraduate and graduate studies, Dr. Khan exhibited a keen interest in innovative solutions to complex technological challenges, which he later carried into his research endeavors. His academic excellence set the stage for his future endeavors, which involve both theoretical exploration and practical applications of advanced technological concepts.

Professional Endeavors 💼

Dr. Khan’s professional career reflects a commitment to advancing the field of electrical and computer engineering, particularly in the areas of machine learning, intelligent systems, and energy optimization. As an Assistant Professor at the Lyle School of Engineering at Southern Methodist University (SMU), he has become a driving force in the academic development of students and the enhancement of the institution’s research output. He designed and delivered a wide range of undergraduate and graduate courses, equipping students with the knowledge to excel in the rapidly evolving fields of artificial intelligence, data-driven modeling, and optimization.

Before joining SMU, Dr. Khan accumulated extensive teaching experience at COMSATS University Islamabad, where he worked as an Assistant Professor. He also held the position of teaching faculty at Lancaster University, UK (Overseas Campus). His teaching philosophy revolves around fostering student engagement with complex topics such as machine learning, control systems, and renewable energy solutions. Dr. Khan’s courses have earned him a reputation for clarity, enthusiasm, and dedication to student success.

Dr. Khan has also demonstrated significant expertise in securing external research funding and fostering collaboration with key stakeholders in the industry. Through his ongoing and previous roles, he has led several research projects, including those focused on transportation electrification, 5G/6G network optimization, and renewable energy systems. These collaborations have facilitated groundbreaking research and real-world impact, particularly in marginalized sectors.

Contributions and Research Focus 🔬

Dr. Khan’s research focus spans several vital and transformative areas, including machine learning, data science, artificial intelligence (AI), renewable energy systems, and optimization techniques. His early work in machine learning and energy optimization laid the groundwork for his more recent contributions, which involve developing predictive models and optimizing complex systems. One of Dr. Khan’s most significant contributions is his work in energy optimization, particularly in transportation electrification, where he has helped develop models that integrate machine learning, artificial intelligence, and statistical methods to optimize systems in logistics, aviation, and energy.

His research in transportation electrification, in collaboration with the Dallas Chamber of Commerce, integrates technical solutions such as energy optimization with business objectives such as digital marketing. Through this project, Dr. Khan is directly addressing real-world challenges and contributing to the development of sustainable transportation solutions. His research on 5G/6G network optimization, with a particular focus on network security and efficiency, continues to influence how next-generation telecommunications systems are designed and deployed.

Dr. Khan has also made significant strides in the realm of Explainable AI (XAI) and machine learning. He has worked on projects that aim to make AI more understandable and transparent, which is a crucial aspect of increasing the adoption of AI technologies across industries. Furthermore, his interdisciplinary research that merges AI with cybersecurity and privacy protection has been instrumental in addressing some of the most pressing concerns of the digital age.

Accolades and Recognition 🏆

Dr. Khan’s contributions to the academic and research fields have not gone unnoticed. He has received multiple accolades for his research, particularly in the areas of AI, machine learning, and energy systems. His work in optimizing 5G/6G networks has earned him recognition from both academic peers and industry experts. Additionally, his leadership in research projects and the publication of peer-reviewed articles in high-impact journals has solidified his reputation as a thought leader in his field.

His ability to secure external funding for his research projects has further highlighted his capacity for driving academic and practical advancements. Dr. Khan’s work continues to contribute to the development of intelligent systems that have a far-reaching impact on both local and global scales.

Impact and Influence 🌍

Dr. Khan’s impact extends far beyond the classroom and the research lab. His work in transportation electrification, renewable energy, and AI continues to influence academic and industry trends. His research projects are directly aligned with global priorities, such as sustainable energy and technological advancements, and have the potential to shape the future of various industries, including transportation, energy, and telecommunications.

His engagement with the Dallas Chamber of Commerce on projects that address both technical and business objectives, including the integration of AI and digital marketing, exemplifies his commitment to bridging the gap between research and real-world applications. This approach has fostered partnerships and collaborations that further enhance the practical outcomes of his research.

Moreover, Dr. Khan’s contributions to academic mentorship have left a lasting mark. By guiding students through research projects and encouraging interdisciplinary collaboration, he has cultivated the next generation of researchers who are equipped to tackle complex global challenges.

Legacy and Future Contributions 🌟

Dr. Khan’s legacy is one of innovation, mentorship, and commitment to advancing the fields of AI, machine learning, and energy optimization. His ability to blend research excellence with practical, real-world applications ensures that his work will continue to influence various sectors for years to come. Dr. Khan’s contributions to academia and research will undoubtedly leave an enduring impact on the development of intelligent systems and the future of energy and telecommunications industries.

Looking ahead, Dr. Khan’s focus on expanding his research to address more pressing global challenges, such as climate change, sustainable development, and the ethical implications of AI, will further cement his role as a leader in the field. As a dedicated researcher and educator, he will continue to foster innovation and inspire future generations of scientists and engineers.

📝Notable Publications

 Robust Resampling and Stacked Learning Models for Electricity Theft Detection in Smart Grid

Authors: A Ullah, IU Khan, MZ Younas, M Ahmad
Journal: Energy Reports
Year: 2025

 Robust Data Driven Analysis for Electricity Theft Attack-Resilient Power Grid

Authors: IU Khan, N Javaid, CJ Taylor, X Ma
Journal: IEEE Transactions on Power Systems
Year: 2023

A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma
Journal: IEEE Transactions on Smart Grid
Year: 2022

Optimal Demand Supply Energy Management in Smart Grid

Author: IU Khan
Journal: PhD Thesis
Year: 2022

Big Data Analytics for Electricity Theft Detection in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma
Journal: IEEE PES PowerTech
Year: 2021

 

Prof. Wei Guan | Decision-making and Problem-solving | Best Researcher Award

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Prof. Wei Guan | Decision-making and Problem-solving | Best Researcher Award

Dalian Maritime University, China

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Scopus

Early Academic Pursuits 🎓

Dr. Guan Wei embarked on his academic journey with a passion for transportation engineering and maritime studies. His early education laid the groundwork for his future endeavors, characterized by excellence and an unwavering commitment to understanding the complexities of marine navigation and communication. His academic milestones include advanced studies in navigation systems, communication technologies, and maritime management. The rigorous training and education he received during his formative years shaped his analytical capabilities and honed his expertise in intelligent vessel operations.

Professional Endeavors ⚓

As a professor at Dalian Maritime University, Dr. Guan Wei has played a pivotal role in the development and dissemination of knowledge in transportation engineering. His professional career spans teaching, research, and administrative leadership. Serving as the Deputy Director of the Communication and Navigation Teaching and Research Section at the College of Navigation, he has spearheaded initiatives aimed at advancing marine navigation technologies.

Dr. Guan’s expertise extends beyond academia. He serves as an external expert for integrating the BeiDou Message Service System into the Global Maritime Distress and Safety System (GMDSS), a critical step toward enhancing global maritime safety. His active participation in the formulation and revision of Chinese GMDSS evaluation standards further demonstrates his commitment to improving maritime communication frameworks.

Additionally, his association with the China Traffic Enterprise Management Association as a member of the Green and Intelligent Transportation Expert Group underscores his dedication to sustainable and innovative solutions in transportation.

Contributions and Research Focus 🔬

Dr. Guan Wei’s research is anchored in cutting-edge advancements in intelligent vessel navigation, ship motion control, and artificial intelligence applications in maritime management. His innovative use of deep reinforcement learning to enhance navigation decision-making has set new benchmarks in the field. His work on ship communication and navigation aids has improved the accuracy and reliability of maritime operations, ensuring safer and more efficient sea transportation.

Over the years, Dr. Guan has authored more than 80 research papers published in prestigious journals. His articles delve into critical issues such as the integration of intelligent systems in marine navigation, predictive algorithms for vessel operation, and the application of neural networks in ship control systems. As a reviewer for renowned journals like IEEE Transactions on Intelligent Vehicles and Ocean Engineering, he actively contributes to maintaining the academic rigor of maritime research.

Accolades and Recognition 🏆

Dr. Guan’s exceptional contributions have earned him several accolades. Recognized as a high-level talent by the city of Dalian, he has consistently demonstrated his expertise and leadership in the maritime sector. His active membership in the China Association for Promoting Democracy highlights his commitment to societal development through academic and professional excellence.

Beyond these honors, his inclusion as an external expert for the BeiDou Message Service System showcases the trust and respect he commands in the maritime community. These recognitions reflect his impact not only on the academic front but also on practical maritime advancements.

Impact and Influence 🌍

Dr. Guan’s work has had a profound impact on the maritime industry, influencing both technological advancements and policy frameworks. His leadership in intelligent vessel operations and maritime management has helped shape the future of transportation engineering. His research findings have been instrumental in bridging the gap between theoretical concepts and practical applications, particularly in enhancing maritime safety and efficiency.

His role in advancing the BeiDou Navigation Satellite System exemplifies his influence on global maritime systems. The integration of this system into GMDSS has not only elevated China’s position in maritime technology but also contributed to global safety initiatives.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Guan Wei continues to focus on transformative technologies in transportation engineering. His current research on artificial intelligence applications in maritime operations aims to revolutionize the industry further. With a deep understanding of the challenges and opportunities in the maritime sector, he is poised to lead future innovations.

Dr. Guan’s legacy is one of relentless pursuit of knowledge, impactful research, and dedicated mentorship. As a Ph.D. and M.Sc. supervisor, he has nurtured countless students who now contribute to the maritime industry. His influence extends across academia and the professional world, leaving an indelible mark on transportation engineering and maritime technology.

In sum, Dr. Guan Wei’s career is a testament to the transformative power of dedication, innovation, and leadership. His continued efforts promise to shape the future of intelligent maritime operations, ensuring safety, efficiency, and sustainability for generations to come. 🌊

📝Notable Publications

USV formation navigation decision-making through hybrid deep reinforcement learning using self-attention mechanism

Authors: Cui, Z.; Guan, W.; Zhang, X.

Journal: Expert Systems with Applications

Year: 2024

Autonomous collision avoidance decision-making method for USV based on ATL-TD3 algorithm

Authors: Cui, Z.; Guan, W.; Zhang, X.; Zhang, G.

Journal: Ocean Engineering

Year: 2024

Collision avoidance decision-making strategy for multiple USVs based on Deep Reinforcement Learning algorithm

Authors: Cui, Z.; Guan, W.; Zhang, X.

Journal: Ocean Engineering

Year: 2024

USV Collision Avoidance Decision-Making Based on the Improved PPO Algorithm in Restricted Waters

Authors: Hao, S.; Guan, W.; Cui, Z.; Lu, J.

Journal: Journal of Marine Science and Engineering

Year: 2024

Occupancy grid-based environment sensing for MASS in complex waters

Authors: Sun, S.; Guan, W.; Wang, Y.

Journal: Ocean Engineering

Year: 2024

 

Dr. Justine Guguneni Tuolong | Decision-making and Problem-solving | Best Researcher Award

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Dr. Justine Guguneni Tuolong | Decision-making and Problem-solving | Best Researcher Award

Simon Diedong Dombo University of Business and Integrated Development Studies, Ghana

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Google scholar

Early Academic Pursuits 🎓

Justine Guguneni Tuolong embarked on his academic journey with a strong passion for social policy and governance. He pursued a Ph.D. in Development Management and Governance at Simon Diedong Dombo University of Business and Integrated Development Studies (SDD-UBIDS), Ghana. His education and early academic interests focused on research, policy analysis, and management. These early pursuits laid the foundation for his expertise in health systems research, social policy, and governance. His scholarly development was marked by a commitment to addressing issues related to public health and administration, ensuring his work had a tangible societal impact.

Professional Endeavors and Teaching Experience 📚

Tuolong has built an impressive career in academia and research. He serves as a part-time lecturer at SDD-UBIDS, where he contributes to the education and mentorship of students in development management, governance, and public administration. He is also the founding director of Brainbox Research Institute Ltd., where he conducts workshops focusing on social science research and data analytics. His professional efforts have been aimed at training and capacity building, particularly in the realm of policy analysis and research methods. Notably, he has collaborated with the Ghana Nations Builders Corp. and participated in the US Embassy-sponsored “Girls Go Digital” project, where he provided leadership in research and digital literacy initiatives for young women.

Throughout his academic career, Tuolong has also been actively engaged in facilitating workshops and seminars for postgraduate students and faculty members. His expertise in research methods, particularly in referencing skills using Mendeley, is highly regarded, and he continues to be an invaluable resource for academic development at SDD-UBIDS.

Contributions and Research Focus 🧑‍🔬

Tuolong’s research interests are broad yet focused on critical societal issues such as healthcare access, governance, and the role of digital technologies in improving livelihoods. His work on the National Health Insurance Scheme (NHIS) in Ghana, particularly its impact on healthcare access in the Wa Municipality, has provided valuable insights into how health policies affect communities at the local level. His research consistently addresses the gap between policy formulation and its practical implications, with an emphasis on equity and access to healthcare for marginalized populations.

He has also been instrumental in examining the role of digital technologies in financial inclusion, especially concerning micro, small, and medium enterprises (MSMEs). His participation in numerous conferences and workshops, such as the 4th Research and Development Conference at SDD-UBIDS, has highlighted his collaborative approach to research. For instance, his co-authored research on the performance of MSMEs and the impact of local actors in forest co-management reflects his commitment to sustainability and the role of governance in resource management.

Tuolong’s work often extends into health system research. He has explored the effectiveness of healthcare policies, such as Ghana’s free healthcare policy, and their capacity to enhance financial access for Livelihood Empowerment Against Poverty (LEAP) beneficiaries. His research in this domain adopts a qualitative approach, ensuring that the voices of the affected populations are integrated into the analysis and that policy recommendations are grounded in real-world experiences.

Accolades and Recognition 🏆

Throughout his career, Justine Guguneni Tuolong has earned recognition for his contributions to academia and society. His participation in both local and international conferences has positioned him as a thought leader in development management and governance. He has been invited to present at conferences such as the Upper West Regional Health Directorate Maiden Conference, where his quantitative study on intimate partner violence among people living with HIV in Ghana gained attention for its policy implications.

He has also served as a session chair and a co-author of several peer-reviewed journal articles and book chapters. His contributions have not gone unnoticed, as his work is increasingly cited in academic and policy circles for its depth and relevance to current societal challenges.

Impact and Influence 🌍

Tuolong’s influence is seen not only in his research and teaching but also in his efforts to bridge the gap between academia and practice. His leadership at Brainbox Research Institute Ltd. has allowed him to extend his impact beyond the classroom, offering practical solutions and training for organizations and government bodies. His collaboration with development agencies like the US Embassy has furthered his mission to foster digital literacy and empower young people, particularly women, through education and technology.

Additionally, his research has contributed to shaping health policy discussions in Ghana. His work on healthcare access, particularly in the context of the NHIS and the free healthcare policy, has been critical in informing policymakers about the challenges faced by vulnerable populations in accessing necessary services.

Legacy and Future Contributions 🌟

Justine Guguneni Tuolong’s legacy is built on his unwavering commitment to social policy, governance, and health systems research. His contributions to the academic community and society at large are vast, spanning healthcare, policy analysis, and digital inclusion. His work in promoting equitable access to resources and services, especially healthcare, will undoubtedly continue to inspire future scholars and policymakers.

Looking forward, Tuolong aims to expand his research and teaching efforts to address emerging challenges in governance, healthcare, and technology. His ongoing work in digital technologies and financial inclusion, along with his research into healthcare systems, positions him as a pivotal figure in shaping the future of development policies in Ghana and beyond.

As a scholar and practitioner, Tuolong’s future contributions are likely to continue to influence policy discussions, academic thought, and the implementation of practical solutions in the fields of development and governance. His legacy will be one of impact, innovation, and a dedication to the betterment of society.

📝Notable Publications

Administrative Efficiency and Policy Failure: The National Health Insurance Scheme of Ghana in Perspective

Authors: FN Sanyare, JG Tuolong
Journal: Global Encyclopedia of Public Administration, Public Policy, and Governance
Year: 2017

Supply-side factors influencing national health insurance uptake, access and use of primary health care: Evidence from the Upper West Region, Ghana

Authors: JG Tuolong, KA Alatinga, E Yendaw
Journal: SSM – Health Systems
Year: 2024

Factors Associated with Contraceptive Use Among Migrant Female Head Porters in the Kumasi Metropolis

Authors: C Dassah, JG Tuolong
Journal: N/A (yet to be published in a journal, just the year 2023 is mentioned)
Year: 2023

Implications of the supply and demand-side models of national health insurance for universal health coverage in Wa municipality of Ghana

Authors: JG Tuolong, KA Alatinga, E Yendaw
Journal: University for Development Studies 1st Annual Graduate School Conference Proceedings
Year: 2021

 

Dr. Pi-Lien Hung | Decision-making and Problem-solving | Best Researcher Award

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Dr. Pi-Lien Hung | Decision-making and Problem-solving | Best Researcher Award

Kaohsiung Chang Gung Memorial Hospital, Taiwan

Profile 

Scopus

📋 Summary

Dr. Pi-Lien Hung is an attending physician in the Division of Pediatric Neurology at Kaohsiung Chang Gung Memorial Hospital, Taiwan. She has been serving as the Chief of Pediatric Neurology since 2013. Dr. Hung is recognized for her contributions to pediatric epilepsy, Rett syndrome, and various neurological conditions. Her work explores innovative treatments such as music therapy and the ketogenic diet, aimed at improving patient outcomes.

🎓 Education

  • Ph.D. in Clinical Medicine
    Chang Gung University, Taoyuan, Taiwan
    (September 2001 – August 2013)

💼 Professional Experience

  • Attending Physician
    Division of Pediatric Neurology, Department of Pediatrics
    Kaohsiung Chang Gung Memorial Hospital, Taiwan
    (May 2004 – Present)
  • Chief of Pediatric Neurology
    Kaohsiung Chang Gung Memorial Hospital, Taiwan
    (Since October 2013)

🔬 Research Interests

  • Pediatric Epilepsy
    Researching therapeutic approaches such as vagus nerve stimulation and therapeutic hypothermia for refractory epilepsy.
  • Rett Syndrome
    Investigating stereotypic behaviors and comorbidities in Rett syndrome patients, as well as music-based interventions for sociability repression in related mouse models.
  • Neurological Effects of the Ketogenic Diet
    Exploring metabolic profiles and EEG connectivity in children undergoing ketogenic diet therapy for epilepsy.

Notable Publications

Therapeutic effects of extracorporeal shock wave therapy on patients with spastic cerebral palsy and Rett syndrome: clinical and ultrasonographic findings

Authors: Su, T.-Y., Huang, Y.-C., Ko, J.-Y., Yu, M.-Y., Hung, P.-L.
Journal: Orphanet Journal of Rare Diseases
Year: 2024

Butyrate reduction and HDAC4 increase underlie maternal high fructose-induced metabolic dysfunction in hippocampal astrocytes in female rats

Authors: Wu, K.L.H., Liu, W.-C., Wu, C.-W., Lin, Y.-J., Hirase, H.
Journal: Journal of Nutritional Biochemistry
Year: 2024

Insights into clinical phenotypes and treatment responses in a small cohort of Taiwanese patients with SCN1A variants: A preliminary study

Authors: Syu, Y.M., Lee, I.C., Lu, J.-F., Yang, M.-T., Liang, J.-S.
Journal: Pediatrics and Neonatology
Year: 2024 (Volume, Issue, and Pages not specified)

Dravet-like syndrome with PCDH19 mutations in Taiwan ― A multicenter study

Authors: Liu, Y.-H., Liang, J.-S., Chang, M.-Y., Lee, W.-T., Lin, K.-L.
Journal: (Details not specified)

Feasibility of ketogenic diet therapy variants for refractory epilepsy in neonates to infants under 2 years old

Authors: Hsieh, T.-Y., Su, T.-Y., Hung, K.-Y., Kuo, H.-C., Hung, P.-L.
Journal: Epilepsy and Behavior
Year: 2023

 

 

 

Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

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Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

Profile 

Google scholar 

🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

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Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

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Scopus 

🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

Prof Dr. Haiyan Song | Decision-making and Problem-solving | Best Researcher Award

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Prof Dr. Haiyan Song | Decision-making and Problem-solving | Best Researcher Award

Northeast Forestry University (NEFU), China

Profile 

Scopus

Early Academic Pursuits 🎓

Haiyan Song’s academic journey began with her pursuit of a Ph.D. in Industrial Catalysis, which she completed in January 2011 from Dalian University of Technology, one of China’s premier institutions. This solid foundation in industrial catalysis, a specialized and impactful area of chemical engineering, set the stage for her future endeavors. Her deep interest in catalysis, particularly in relation to photocatalytic and inorganic porous materials, would become central to her future research, positioning her as an emerging expert in the field.

From the beginning of her career, Haiyan demonstrated a strong academic acumen, a drive for learning, and a passion for research. These traits would not only guide her throughout her academic journey but also help her in making significant contributions to her discipline. Her early academic years were marked by a keen focus on the dynamics of chemical engineering, which was evident in her subsequent research works and innovations.

Professional Endeavors 👩‍🏫

Since completing her Ph.D., Haiyan Song has taken on the role of a professor at the prestigious Northeast Forestry University (NEFU), where she supervises postgraduate students and leads the Department of Chemical Engineering and Technology. Her responsibilities also extend to being an active member of the Chinese Chemical Engineering Society, through which she engages with the larger scientific community in China.

Her research has revolved around photocatalytic materials, inorganic porous materials, and adsorption — areas critical for addressing some of the world’s most pressing environmental and energy challenges. Haiyan has made significant strides in photocatalytic research, focusing on developing materials that enhance light utilization efficiency. This research is crucial for improving energy generation, environmental purification, and even the synthesis of natural products through green chemistry.

Additionally, Haiyan Song’s leadership skills are evident in her ability to secure funding for her research. She has been the principal investigator on several high-impact projects, including the Heilongjiang Provincial Natural Science Foundation project, and the China Postdoctoral Science Foundation project, showcasing her capabilities in leading and completing significant scientific research endeavors.

Contributions and Research Focus 🔬

Haiyan’s research contributions are focused on the development of new semiconductor photocatalytic materials and porous inorganic materials like molecular sieves and metal-organic frameworks. She has aimed to address critical global issues like environmental pollution and energy shortages by enhancing the efficiency of photocatalysts. By expanding the visible light response range and exploring various photocatalytic systems, she has helped in advancing materials that can serve in environmental purification and clean energy production. Her work on hybridizing main and guest components in these materials has proven essential in increasing their photocatalytic activity, enabling them to perform efficiently under visible light irradiation.

In addition to her photocatalytic research, Haiyan Song has been a pioneer in developing new porous materials for adsorption, focusing on improving the materials’ properties for more effective adsorption of target molecules. This research is vital for applications such as fuel purification, soil protection, and environmentally friendly catalysis. Haiyan’s work has been instrumental in enhancing the diffusion properties of these materials, making them more effective in real-world applications.

Haiyan’s scientific output includes over 20 papers published in leading journals such as Applied Catalysis B: Environmental, Journal of Catalysis, and the Chemical Engineering Journal, all of which are SCI-indexed. She has also authored two monographs and secured three authorized invention patents, further solidifying her role as a leading researcher in her field.

Accolades and Recognition 🏆

Haiyan Song’s work has garnered both national and international recognition. She has been a key researcher in numerous projects funded by prestigious bodies such as the Heilongjiang Provincial Natural Science Foundation and the China Postdoctoral Science Foundation. The outcomes of these projects, including advancements in the dynamic control of porous molecular sieves for green catalysis and esterification reactions, have had significant implications for both academic and industrial applications.

Haiyan’s innovative contributions to material science have also led to several prestigious awards and honors. She has been involved in numerous consultancy and industry projects, most notably her work on the preparation of graphene/polymer composite coatings, which demonstrated exceptional anti-corrosion properties. This project, commissioned by industry partners, highlights her ability to bridge the gap between academic research and practical applications in the industry.

Impact and Influence 🌍

The impact of Haiyan Song’s research extends beyond academia. Her work on photocatalytic materials has been transformative in addressing environmental issues, particularly in nuclear wastewater treatment and fuel purification. For instance, her study on enhanced adsorption of radioactive cesium using ZIF-67 laminated 2D MXene Ti3C2 materials, published in Separation and Purification Technology, holds the potential for significant contributions to nuclear waste management. This research has drawn attention from both the academic community and industry professionals, illustrating the far-reaching impact of her work.

Haiyan’s ability to collaborate with other researchers and industry experts further amplifies her influence. Her involvement in various collaborative projects speaks to her commitment to fostering innovation and pushing the boundaries of chemical engineering.

Legacy and Future Contributions 🔮

Haiyan Song’s work has laid the foundation for future innovations in material science, photocatalysis, and environmental engineering. As she continues to mentor the next generation of chemical engineers, her legacy will be marked by her dedication to both research and education. Haiyan’s future contributions are likely to focus on refining and expanding the applications of photocatalytic and porous materials in ways that will have long-lasting benefits for the environment and society as a whole.

Her vision for future research, particularly in advancing green technologies and enhancing adsorption processes for environmental protection, promises to leave a lasting imprint on the field of chemical engineering. As Haiyan continues to lead groundbreaking research, her work will undoubtedly inspire others and contribute to a more sustainable future.

Notable Publications

Enhanced adsorption of radioactive cesium from nuclear wastewater using ZIF-67 laminated 2D MXene Ti3C2

Authors: Zhang, H., Chi, Y., Li, J., Chen, C., Bai, X.

Journal: Separation and Purification Technology

Year: 2025

Ultra-fine potassium hexacyanoferrate(II) nanoparticles modified ZIF-67 for adsorptive removal of radioactive strontium from nuclear wastewater

Authors: Wang, Z., Zhang, H., Song, H., Bai, X.

Journal: Separation and Purification Technology

Year: 2024

Hydroxyl modified nano calcium phosphate, a novel adsorbent for denitrogenation of fuel: Synthesis, characterization and adsorptive performance for quinoline

Authors: Yin, P., Chen, Y., Wang, Y., Song, H., Chen, C.

Journal: Journal of Environmental Chemical Engineering

Year: 2023

Construction of S-scheme p-n heterojunction between protonated g-C3N4 and α-MnS nanosphere for photocatalytic H2O2 production and in situ degradation of oxytetracycline

Authors: Wang, Y., He, Y., Chi, Y., Zhang, H., Song, H.

Journal: Journal of Environmental Chemical Engineering

Year: 2023

Porous Cobalt-nickel phosphides prepared from Al-doped NiCo-LDH precursors for supercapacitor and electrocatalysis applications

Authors: Liu, R., Chen, L., Mo, F., Huang, Y., Fan, Z.

Journal: Chemical Engineering Journal

Year: 2023

 

Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

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Assoc Prof Dr. Tao Li | Decision-making and Problem-solving | Best Researcher Award

China university of mining and Technology, China 

Profile 

Scopus 

Early Academic Pursuits 🎓

Li Tao began his academic journey with a Bachelor’s degree from Sun Yat-sen University, where he cultivated a strong foundation in engineering principles. His undergraduate studies laid the groundwork for his future research endeavors, emphasizing a rigorous approach to problem-solving and a commitment to scientific inquiry.

In 2010, Li Tao embarked on his doctoral studies at Dalian University of Technology under the supervision of Professor Chui-jie Wu. His research during this period focused on advancing the understanding of combustion and detonation phenomena, setting the stage for his future work in microscale detonation technologies. His PhD work not only showcased his ability to tackle complex scientific problems but also demonstrated his dedication to pushing the boundaries of engineering knowledge.

Professional Endeavors 🛠️

Upon completing his PhD in 2016, Li Tao transitioned into a role as an Assistant Professor at Dalian University of Technology. This role marked the beginning of his contributions to the field of safety engineering and advanced combustion technologies. His work during this period involved both teaching and research, allowing him to disseminate his knowledge and contribute to the academic community.

In 2018, Li Tao joined the Guangzhou Institute of Energy Conversion as an Assistant Professor. This position provided him with a platform to further his research in energy conversion technologies, including microscale detonation. His work at this institute was marked by significant advancements in understanding flame acceleration and initiation mechanisms, particularly within curved tubes.

Since January 2024, Li Tao has been serving as an Associate Professor at the School of Safety Engineering, China University of Mining and Technology. This role has allowed him to continue his pioneering research while mentoring the next generation of engineers and scientists.

Contributions and Research Focus 🔬

Li Tao’s research focuses on addressing power and efficiency limitations in micro gas turbines through the advancement of microscale detonation technologies. His work has been pivotal in developing a novel technology route based on microscale detonation, which leverages curved tubes to enhance flame acceleration and initiation. This approach has led to several groundbreaking developments:

  • Novel Technology Route: Li Tao proposed a unique technology route involving microscale detonation with curved tubes, which has demonstrated significant improvements in flame acceleration and initiation. His research highlights how curved channels can influence detonation processes and improve performance.
  • Predictive Models: Through experimental measurements and direct numerical simulations, Li Tao developed predictive models for detonation distance and velocity deficits in curved tubes. These models have been instrumental in understanding and optimizing detonation processes.
  • Theoretical Analysis: His theoretical work elucidates the interaction mechanisms between pressure waves and flames during the high-speed flame phase. This analysis has provided valuable insights into the dynamics of flame behavior within curved tubes.
  • Micro Helical Detonation Chamber: Li Tao introduced a “micro helical detonation chamber + Tesla turbine” technology route to address challenges in micro-scale power systems. This innovative approach resulted in the development of an experimental prototype with potential solutions for issues such as low power output and high heat loss.

Accolades and Recognition 🏅

Li Tao’s contributions to the field have been recognized through various accolades and professional achievements. His innovative research and development efforts have earned him a reputation as a leading expert in microscale detonation technologies. His work has been published in prestigious journals, and he has been invited to present at numerous conferences and seminars, reflecting the impact and recognition of his research within the academic and professional communities.

Impact and Influence 🌟

Li Tao’s research has had a profound impact on the field of microscale combustion and energy conversion. His advancements in detonation technologies have the potential to revolutionize micro gas turbines, addressing critical issues related to power output, heat loss, and component performance. The successful development of his experimental prototype highlights the practical applications and potential of his research in real-world scenarios.

His work not only contributes to scientific knowledge but also influences the design and optimization of micro-scale power systems, which are crucial for various industrial and technological applications. Li Tao’s research has paved the way for further advancements in this field, establishing him as a key figure in the ongoing development of energy conversion technologies.

Legacy and Future Contributions 🔮

Li Tao’s legacy in the field of safety engineering and microscale detonation technologies is characterized by his innovative approach and commitment to solving complex engineering challenges. His research has set new standards for understanding and optimizing combustion processes, and his contributions will continue to influence future developments in micro gas turbines and energy systems.

Looking ahead, Li Tao is poised to make further contributions to the field through continued research and development. His focus on addressing the limitations of micro-scale power systems and exploring new technological routes will likely lead to additional breakthroughs and advancements. As he continues to push the boundaries of engineering knowledge, Li Tao’s work will remain a source of inspiration and progress in the field of microscale combustion technologies.

Notable Publications

Time-series prediction of settlement deformation in shallow buried tunnels based on EMD-SSA-GRNN model

Authors: Li, T., Shu, J., Chang, D.

Journal: Scientific Reports

Year: 2024

Wave propagation characteristics of fluid-containing soil granular materials at different frequencies under multiple dissipation mechanisms: A case study on calcareous sand in the South China Sea

Authors: Li, T., Shu, J., Li, Y., Huang, J., Galindo, R.

Journal: Computers and Geotechnics

Year: 2024

Automated method for structural modal identification based on multivariate variational mode decomposition and its applications in damage characteristics of subway tunnels

Authors: Li, T., Hou, R., Zheng, K., Zhang, Z., Liu, B.

Journal: Engineering Failure Analysis

Year: 2024

Propagation characteristics of dynamic wave in fluid-containing granular materials at unified high and low frequency

Authors: Li, T., Shu, J., Li, Y., Wu, B., Galindo, R.

Journal: Soil Dynamics and Earthquake Engineering

Year: 2024

Analytical Solution for Pipeline Settlement Law Using Shield Tunnel Excavation Underneath Based on Vlasov-Timoshenko Model Considering Lateral Soil Action

Authors: Li, T., Zheng, K., Peng, H., Zhang, Z., Liu, B.

Journal: International Journal of Geomechanics

Year: 2024