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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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

Assist Prof Dr. Burhanettin Ozdemir | Decision-making and Problem-solving | Best Researcher Award

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Assist Prof Dr. Burhanettin Ozdemir | Decision-making and Problem-solving | Best Researcher Award

Alfaisal University, Saudi Arabia

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Burhanettin Ozdemir’s academic journey began with a solid foundation in secondary mathematics education, which led him to further specialize in the field of Measurement and Evaluation in Education at Hacettepe University in Ankara. His passion for statistics and psychometrics flourished during his Ph.D. studies, culminating in a dissertation titled “Examining the Effect of Item Level Dimensionality Models on Multidimensional Computerized Adaptive Testing”. This pioneering research laid the groundwork for his future work in adaptive testing systems, particularly in the development of multidimensional computerized adaptive testing (MCAT) systems aimed at evaluating student language abilities.

Dr. Ozdemir’s academic pursuits were further enriched by international exposure. A scholarship from the Higher Council of Education enabled him to undertake a visiting scholar position at the University of Illinois at Urbana-Champaign under the mentorship of Dr. Hua Hua Chang. This experience broadened his understanding of advanced statistical methods, particularly structural equation modeling (SEM), multilevel modeling, and multivariate statistics, key areas that would define his research trajectory. Additionally, his coursework in mathematics at National Chung Hsing University in Taiwan provided him with the rigorous analytical tools to approach complex educational measurement challenges.

Professional Endeavors 🌍

Dr. Ozdemir’s professional career is a testament to his dedication to both academia and the practical application of his expertise. His journey began as a Research Assistant at Hacettepe University, where he honed his research skills in educational measurement. He later became an Assistant Professor at Siirt University, where he also served as the Chairperson of the Department of Educational Measurement and Evaluation. This role allowed him to lead curriculum development while making significant contributions to the field of educational assessment.

His professional endeavors continued at the National Center for Assessment in Higher Education (NCA, Qiyas) in Saudi Arabia, where he worked as a Psychometrician from 2017 to 2019. In this capacity, Dr. Ozdemir was responsible for analyzing and improving assessment systems, a critical function for national exams in Saudi Arabia. His expertise in psychometrics and adaptive testing models ensured that the assessment processes were both efficient and scientifically sound.

In 2019, Dr. Ozdemir joined Prince Sultan University as a faculty member and Director of the Center for Statistics and Information (CSI), where he expanded his influence in the field of data science. As Director, he developed advanced dashboards and automated systems to streamline data dissemination, KPI calculations, and data analysis, significantly improving the university’s ability to make data-driven decisions. In 2024, he took on a new role as Assistant Professor in the Department of Operations and Project Management at Alfaisal University, continuing to push the boundaries of his academic and professional contributions.

Contributions and Research Focus 🔬

Dr. Ozdemir’s research interests lie at the intersection of educational measurement, psychometrics, and the application of advanced statistical methods. His work focuses heavily on multidimensional computerized adaptive testing (MCAT), item response theory (IRT), test equating, and differential item functioning (DIF). He has made significant strides in the development of adaptive testing systems that can more accurately assess the abilities of students, particularly in the context of language testing.

Additionally, his research integrates the use of artificial intelligence-driven natural language processing (NLP) models, further enhancing the accuracy and adaptability of testing systems. Dr. Ozdemir’s expertise in multilevel modeling, SEM, and multivariate statistics also allows him to tackle complex educational data and contribute to the refinement of testing models. His findings have the potential to reshape how educational assessments are conducted worldwide, making them more personalized, accurate, and fair.

Accolades and Recognition 🏆

Dr. Ozdemir’s contributions to the field of educational measurement and psychometrics have not gone unnoticed. He has received numerous accolades throughout his career, including recognition for his groundbreaking research in multidimensional computerized adaptive testing. His work in this area is considered highly influential in the field of educational testing, and his publications are widely cited by peers.

In addition to his academic achievements, Dr. Ozdemir’s appointment as a Visiting Scholar at the University of Illinois stands as a significant milestone in his career, allowing him to engage with leading researchers and scholars from around the world. His technical skills and contributions have earned him a reputation as an expert in educational measurement and data analysis, and his ability to integrate AI with educational testing continues to garner attention in both academic and professional circles.

Impact and Influence 🌟

Dr. Ozdemir’s work has had a profound impact on both his students and the broader academic community. As an educator, he has taught a wide range of courses, including those in probability theory, statistical analysis, and educational measurement. His role as a mentor and researcher has inspired numerous students and colleagues alike, many of whom have gone on to pursue successful careers in academia and industry.

Moreover, his role as Director of the Center for Statistics and Information at Prince Sultan University has allowed him to influence institutional data practices, improving data accessibility and analysis through innovative dashboards and automated systems. These contributions have had a lasting effect on the university’s ability to leverage data for decision-making and performance evaluation.

Legacy and Future Contributions 🌱

Looking forward, Dr. Ozdemir’s legacy is built on his commitment to advancing educational measurement and statistical analysis. His future contributions are expected to expand further into the integration of AI and machine learning techniques with adaptive testing systems, as well as continuing his exploration of how these systems can be used to enhance educational fairness and efficiency globally. Through his ongoing research, Dr. Ozdemir is poised to shape the future of educational assessment, ensuring that it evolves to meet the needs of students and educational institutions in a rapidly changing world.

As he continues to inspire future generations of statisticians, psychometricians, and educators, Dr. Ozdemir’s impact will undoubtedly extend far beyond the classroom and research lab, contributing to more equitable and innovative educational systems worldwide.

📝Notable Publications

Prevalence of Nomophobia among university students: A comparative study of Pakistani and Turkish undergraduate students

Authors: B Özdemir, Ö Çakır, I Hussain

Journal: Eurasia Journal of Mathematics Science and Technology Education

Year: 2018

A comparison of IRT-based methods for examining differential item functioning in TIMSS 2011 mathematics subtest

Author: B Özdemir

Journal: Procedia-Social and Behavioral Sciences

Year: 2015

Getting closer being apart: Living in the age of information and communication technologies

Authors: I Hussain, O Çakır, B Özdemir, SA Tahirkheli

Journal: New Horizons

Year: 2017

Studying internet addiction profile of university students with latent class analysis

Authors: I Hussain, O Çakır, B Özdemir

Journal: Education and Information Technologies

Year: 2020

PISA 2009 sonuçlarına göre öğrenci başarısını etkileyen faktörlerin kanonik ortak etki analizi ile incelenmesi

Authors: B Özdemir, S Gelbal

Journal: Eğitim ve Bilim

Year: 2014

Assist Prof Dr. Burhanettin Ozdemir | Decision-making and Problem-solving | Best Researcher Award

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Assist Prof Dr. Burhanettin Ozdemir | Decision-making and Problem-solving | Best Researcher Award

Alfaisal University, Saudi Arabia

Profile

Scopus 

Ealy Academic Pursuits 🎓

Dr. Burhanettin Ozdemir’s academic journey began with a passion for measurement and statistics, which ultimately led him to pursue a Ph.D. at Hacettepe University, Ankara. His doctoral research focused on multidimensional computerized adaptive testing (MCAT), a critical area in the advancement of educational assessments. His work, specifically on item-level dimensionality models, contributed significantly to the development of more accurate and adaptive testing systems. The ability to develop a live-CAT system capable of adaptively measuring student language abilities set the stage for his subsequent academic pursuits and laid the foundation for his future contributions in psychometrics and educational assessment.

During his time at Hacettepe University, Dr. Ozdemir deepened his understanding of the complexities of statistical methods and psychometric models, ensuring that his academic work would have a lasting impact on the field. His research addressed pressing issues in educational measurement, particularly in the realm of language testing, which remains an essential aspect of educational systems worldwide.

Professional Endeavors 💼

After completing his Ph.D., Dr. Ozdemir’s professional path took a decisive turn when he was appointed as a psychometrician at the National Centre for Assessment (NCA, Qiyas) in Saudi Arabia. His role involved applying his expertise to the development and implementation of high-stakes testing programs, primarily focused on language proficiency assessments. During his tenure from 2017 to 2019, Dr. Ozdemir contributed to refining the psychometric techniques used to evaluate test takers and ensure the validity and reliability of assessments across various domains.

In 2019, Dr. Ozdemir joined Prince Sultan University as both a faculty member and the Director of the Center for Statistics and Information (CSI). His leadership in this role was instrumental in enhancing the university’s statistical capabilities and fostering research in statistical modeling and measurement techniques. He played a pivotal role in organizing workshops and seminars that contributed to advancing statistical practices and knowledge-sharing within the academic community. Additionally, his research expanded to areas such as multilevel modeling and structural equation modeling (SEM), further enriching his contribution to educational research.

Currently, Dr. Ozdemir holds a faculty position at Alfaisal University in Riyadh, Saudi Arabia, where he continues to make a profound impact in the fields of operations management and project management. His ongoing research and teaching activities at Alfaisal University contribute to shaping the next generation of scholars in both statistical theory and applied methodologies.

Contributions and Research Focus 🔬

Dr. Ozdemir’s research has had a significant influence on the fields of adaptive testing, psychometrics, and statistical modeling. His focus on multidimensional computerized adaptive testing (MCAT) has helped to redefine how educational assessments are designed and implemented. The core of his research lies in exploring the item-level dimensionality models that aim to improve the accuracy of adaptive tests, which is crucial for both educational institutions and testing agencies worldwide.

His research in item response theory (IRT) and multistage adaptive testing (MSAT) aims to create testing systems that are both efficient and adaptive, offering a more personalized testing experience for students. Dr. Ozdemir’s work also delves deeply into language testing, which has become even more critical as educational systems strive to assess language proficiency in an increasingly globalized world.

Moreover, his contributions to structural equation modeling (SEM) and multilevel modeling have broadened the scope of statistical tools used in social sciences, education, and psychology. His research has pushed the boundaries of how complex data can be interpreted and analyzed, providing insights that inform policy, curriculum development, and assessment practices.

Accolades and Recognition 🏆

Dr. Ozdemir’s academic achievements and contributions have not gone unnoticed. His work has earned him numerous accolades and recognition both within the academic community and in professional circles. A key highlight in his career was his selection for a visiting scholar position at the University of Illinois at Urbana-Champaign (USA), under the guidance of Dr. Hua Hua Chang. This prestigious opportunity allowed him to expand his academic network and engage in high-level research collaborations, further strengthening his expertise in psychometrics and statistical modeling.

In addition, Dr. Ozdemir’s research has been featured in leading international journals and conferences, cementing his reputation as a thought leader in the fields of adaptive testing and psychometrics. His role as a mentor and research advisor has also been instrumental in guiding graduate students and junior researchers, further amplifying his impact in academia.

Impact and Influence 🌍

Dr. Ozdemir’s work has had a profound impact on the field of educational measurement and assessment. By contributing to the development of more adaptive, personalized, and accurate testing systems, his research has influenced how educational institutions worldwide approach student assessment. The multidimensional computerized adaptive testing (MCAT) systems he helped develop have made significant strides in improving the quality of language assessments, ensuring that they are both reliable and fair.

Furthermore, his leadership roles at both Prince Sultan University and Alfaisal University have allowed him to influence academic curricula, shape research priorities, and mentor the next generation of scholars and professionals in the field of statistical modeling and psychometrics. His professional work at Qiyas and other organizations has helped shape assessment practices in Saudi Arabia, contributing to the evolution of educational standards in the region.

Legacy and Future Contributions 🌱

Looking to the future, Dr. Ozdemir is committed to continuing his work in adaptive testing, psychometrics, and statistical modeling. His future research will likely delve deeper into the intersection of machine learning and adaptive assessment systems, exploring ways to integrate more sophisticated algorithms to improve the precision and flexibility of assessments.

As he continues his academic career at Alfaisal University, Dr. Ozdemir plans to expand his research into multivariate statistics and structural equation modeling (SEM), exploring new methodologies for data analysis and contributing to the growing body of knowledge in these areas. His legacy will undoubtedly live on in the students he teaches, the colleagues he mentors, and the lasting influence of his contributions to educational assessment systems around the world.

In conclusion, Dr. Burhanettin Ozdemir’s career exemplifies a relentless pursuit of excellence in the field of educational measurement and statistics. His research, leadership, and passion for advancing psychometric practices have left an indelible mark on both academia and professional testing organizations.

📝Notable Publications

An Innovative Deep Learning Framework for Skin Cancer Detection Employing ConvNeXtV2 and Focal Self-Attention Mechanisms

Authors: Ozdemir, B., Pacal, I.

Journal: Results in Engineering

Year: 2025

On Theoretical and Numerical Results of Serum Hepatitis Disease Using Piecewise Fractal–Fractional Perspectives

Authors: Khan, Z.A., Ali, A., Irshad, A.U.R., Ozdemir, B., Alrabaiah, H.

Journal: Fractal and Fractional

Year: 2024

 Development and Validation of Simulation Scenario Quality Instrument (SSQI)

Authors: Mujlli, G., Al-Ghosen, A., Alrabah, R., Munshi, F., Ozdemir, B.

Journal: BMC Medical Education

Year: 2023

 Using Advanced Analysis Together with Fractional Order Derivative to Investigate a Smoking Tobacco Cancer Model

Authors: Shah, I., Eiman, Alrabaiah, H., Ozdemir, B., Irshad, A.U.R.

Journal: Results in Physics

Year: 2023

 Stability and Numerical Analysis via Non-Standard Finite Difference Scheme of a Nonlinear Classical and Fractional Order Model

Authors: Alrabaiah, H., Din, R.U., Ansari, K.J., ur Rehman Irshad, A., Ozdemir, B.

Journal: Results in Physics

Year: 2023

 

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

Profile

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

Profile

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

 

Mr. Gang Lu | Decision-making and Problem-solving | Best Researcher Award

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Mr. Gang Lu | Decision-making and Problem-solving | Best Researcher Award

Hebei GEO University, China

Profile 

Scopus

Early Academic Pursuits 🎓

Professor Gang Lu’s academic journey is a testament to his dedication to both scientific and managerial disciplines. He began his educational path at Huaqiao University in Quanzhou, China, where he earned his Bachelor of Science in Applied Chemistry in 1993. This early foundation in chemistry laid the groundwork for his scientific approach to problem-solving. He then pursued a Master’s in Management, specializing in Business Administration, from Nanjing University of Science and Technology in 2002. This blend of scientific knowledge and management expertise equipped him with the unique ability to approach complex issues through both technical and strategic lenses, positioning him as a thought leader in integrating digital technologies with business and industry.

Professional Endeavors 🌍

Throughout his career, Professor Gang Lu has held numerous prestigious positions that have allowed him to lead and influence significant projects in the fields of digital transformation, sustainable development, and technology consulting. He currently serves as a Professor and Master’s Supervisor at Hebei GEO University, where he plays a crucial role in shaping the next generation of leaders in his field. His academic endeavors are complemented by his influential roles as an Executive Member of the Hebei Regional Science Association, and Chief Expert in several prestigious think tanks, including the Hebei Association for Science and Technology Think Tank Base and the China Association for Science and Technology Decision-Making Consulting Expert Team. These positions have enabled him to leverage his expertise in policy-making, strategy development, and technological advancements, making a profound impact on regional and national development.

Professor Lu’s professional focus extends to researching the integration of digital economy into key industries such as agriculture and manufacturing, where his work is revolutionizing productivity and sustainability. His role in the China Association for Science and Technology underscores his active contribution to national development strategies.

Contributions and Research Focus 🔬

Professor Gang Lu’s research is centered on the application of digital transformation to drive productivity and sustainability across multiple sectors. His work seeks to explore how digital economies can enhance efficiency and environmental sustainability, particularly in agriculture and manufacturing.

Key projects in Professor Lu’s research portfolio include:

  1. Empowering Agricultural New Productivity with Digital Economy (Dec. 2024–Present): This project explores how digital technologies can boost agricultural productivity, particularly in rural areas. By focusing on the creation of new business models, Professor Lu is working to promote comprehensive rural revitalization. He has developed a theoretical framework that leverages the value network model, which is a critical tool for understanding how digital innovations can reshape agricultural practices. This project also aims to enhance the penetration of digital tools in agriculture, driving data-driven decisions that optimize resource use and improve productivity.
  2. Digital Transformation’s Impact on Carbon Emissions in Manufacturing (Jun. 2022–Jun. 2023): In this project, Professor Lu analyzed the role of digital transformation in reducing carbon emissions in manufacturing. By using text analysis methods to extract digital transformation indicators from companies in Hebei Province, he constructed econometric models to study how digital technologies like smart factories and resource optimization reduce emissions. His work is shaping policies for a low-carbon manufacturing system, which is a vital step toward green development and sustainability.
  3. Digital Economy Development in Hebei (Sep. 2022–Jul. 2023): This research focused on assessing the internal coordination and spatial development of the digital economy in Hebei Province. By developing a comprehensive evaluation index system, Professor Lu studied how the development of the digital economy impacts regional economies. His research provides insights into improving coordination and balance within different aspects of the digital economy to foster sustainable economic growth.

Accolades and Recognition 🏅

Professor Gang Lu’s contributions have not gone unnoticed in the academic and professional communities. He was awarded the title of Outstanding Science and Technology Worker by Hebei Province, reflecting his significant impact on the advancement of technology and sustainable development. His work has gained widespread recognition, not only within academic circles but also among industry leaders and policymakers. His leadership in the China Association for Science and Technology Decision-Making Consulting Expert Team further underscores his influence in shaping China’s technological and industrial strategies.

In addition to his academic honors, Professor Lu’s innovative research has been instrumental in promoting smart manufacturing and agricultural innovation, two critical areas in China’s efforts to modernize its economy.

Impact and Influence 🌱

Professor Gang Lu’s work in the digital transformation of agriculture and manufacturing is having far-reaching implications on both industry and policy. His research has provided actionable strategies for digital adoption and sustainability that are helping industries in Hebei and beyond increase productivity while reducing environmental footprints.

Through his involvement in numerous decision-making teams, Professor Lu has had a direct influence on policy at the regional and national levels. His research provides essential data and recommendations for creating green, low-carbon industries, ensuring that China’s path to industrial development remains sustainable. His ability to link theory with practical application has made his research indispensable for governmental strategies on digital economy development.

Legacy and Future Contributions 🔮

Professor Gang Lu’s legacy will be defined by his role as a pioneer in bridging digital economy and sustainable development. His contributions have been foundational in helping industries adapt to technological advancements while maintaining a strong focus on environmental sustainability.

Looking toward the future, Professor Lu’s research will continue to focus on refining the models he has developed to drive sustainable development across various sectors. His future contributions will likely center on expanding the reach of digital transformation strategies and improving policy frameworks that foster green, low-carbon growth. As digital economies continue to evolve, his work will remain critical in ensuring that economic development is balanced with environmental preservation.

In conclusion, Professor Gang Lu’s career has left an indelible mark on the fields of digital transformation and sustainable development. His research has not only influenced academia but has also shaped policies that guide industries towards a more sustainable future. Through his leadership, expertise, and commitment to integrating digital technology with green initiatives, he continues to pave the way for a smarter, more sustainable world.

📝Notable Publications

How digital economy and technological innovation can achieve a virtuous cycle with the ecological environment.

Journal: Environment, Development and Sustainability
Year: 2024

Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model.

Journal: Computational Economics
Year: 2024

Title: Strategies for improving food security under the impact of external grain price fluctuations: evidence from China.

Journal: Applied Economics
Year: 2024

Title: Research on Evolution Characteristics and Response Strategies of Global Trade Network of Scrap Copper Resources.

Journal: Complex Systems and Complexity Science

Year: 2022

Title: Evaluation of E-commerce website based on Fruit Fly Algorithm Optimization RBF algorithm.

Journal: Computer Modelling and New Technologies
Year: 2014

Dr. MOHAMMAD KAMRUL HASAN | Decision-making and Problem-solving | Best Researcher Award

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Dr. MOHAMMAD KAMRUL HASAN | Decision-making and Problem-solving | Best Researcher Award

Tongling University, China

Profile 

Google Scholar

🌱 Early Academic Pursuits

Kamrul Hasan’s academic journey began in Bangladesh, where he developed a solid foundation in language and literature. He earned a Bachelor of Arts in English in 2011 and a Master of Arts in English in 2012 from the National University in Dhaka, achieving commendable results. While pursuing these degrees, he honed his analytical thinking and communication skills, which later became instrumental in his transition into management science and engineering. This academic grounding sparked his interest in research and further studies, motivating him to explore interdisciplinary fields.

In pursuit of excellence, Kamrul moved to China for advanced education. At Shijiazhuang Tiedao University, he earned an MBA (2015-2018) with a dissertation focusing on the challenges and strategies of attracting foreign direct investment (FDI) in Bangladesh. His keen interest in understanding economic dynamics and logistics led him to pursue a Ph.D. in Management Science and Engineering (2019-2023). His doctoral research revolved around strategies to enhance logistics performance (LP) in Asia, showcasing his dedication to solving real-world problems.

🚀 Professional Endeavors

Kamrul’s professional journey is marked by his academic engagements and research activities. He is affiliated with Tongling University, Anhui, China, where he actively participates in teaching, research, and knowledge dissemination. Alongside his academic duties, Kamrul has served as a peer reviewer for esteemed journals such as Expert Systems with Applications and Environment, Development, and Sustainability. This role highlights his critical thinking and expertise in evaluating innovative research.

Kamrul is also proficient in a variety of analytical tools and software, such as SPSS, EViews, STATA, and QGIS, enabling him to perform data-driven research and analysis effectively. His skills in econometrics, teamwork, and analytical thinking reflect his ability to bridge theoretical knowledge with practical applications.

📚 Contributions and Research Focus

Kamrul’s research focuses primarily on improving logistics performance and analyzing economic trends in Asia. His doctoral work sheds light on strategies to optimize logistics systems, contributing to regional economic development and trade efficiency. This research holds significant value for policymakers and businesses seeking sustainable solutions in the logistics sector.

Beyond logistics, Kamrul has explored issues related to foreign direct investment (FDI), identifying key challenges and strategies that can drive economic growth in developing countries like Bangladesh. His interdisciplinary approach integrates management science, economics, and data analysis, reflecting his commitment to addressing complex global issues.

🏆 Accolades and Recognition

Kamrul’s dedication and achievements have been recognized through several awards:

  • Championship in Inter-School Sports Competitions: A testament to his leadership and teamwork abilities from an early age.
  • Essay Writing Award: Showcasing his command of language and ability to articulate ideas effectively.
  • Recognition in Provincial Chinese Activities: Highlighting his cross-cultural adaptability and involvement in diverse initiatives.

His roles as a journal peer reviewer further underscore his credibility and standing in the academic community.

🌍 Impact and Influence

Kamrul’s work has a tangible impact on academia and industry. By addressing logistics inefficiencies and proposing actionable strategies, he contributes to improving supply chains across Asia. His insights into FDI also offer a roadmap for developing nations to attract investments and foster economic growth.

Through his teaching and mentorship roles, Kamrul has influenced numerous students, encouraging them to adopt a research-oriented mindset and pursue academic excellence. His expertise in econometric analysis and data visualization tools has empowered learners to explore innovative solutions to complex problems.

🔮 Legacy and Future Contributions

Kamrul Hasan envisions a future where his research continues to bridge knowledge gaps and foster global collaboration. His dedication to academic excellence and practical solutions positions him as a thought leader in logistics and economic development. Kamrul aspires to publish more groundbreaking research, mentor aspiring researchers, and contribute to policy-making processes that address global challenges.

By nurturing the next generation of scholars and driving innovation in his field, Kamrul is set to leave a lasting legacy in academia and beyond. His journey serves as an inspiration for those striving to make a difference through education, research, and perseverance.

📝Notable Publications

 A bibliometric review on electric vehicle (EV) energy efficiency and emission effect research

Authors: S. Yao, Z. Bian, M.K. Hasan, R. Ding, S. Li, Y. Wang, S. Song
Journal: Environmental Science and Pollution Research
Year: 2023

 An Analysis of the Impact of GDP, Trade openness, Inflation rate, and Market size in Attracting Inward FDI in Bangladesh Based on Empirical Analysis

Authors: M.K. Hasan, N.N. Nishi
Journal: International Journal of Science and Business
Year: 2019

Impacts of liner shipping connectivity and global competitiveness on logistics performance: the mediating role of the quality of port and infrastructure

Authors: Y.C. Chen, M.K. Hasan
Journal: Transport
Year: 2023

Empirical study on the comparison of Regional competitiveness of Asian Countries in perspective of Global Competitiveness Index

Authors: M.K. Hasan, C. Yan-chun
Journal: North American Academic Research
Year: 2020

 The Study of the Problems in Attracting Inward FDI in Bangladesh

Authors: M.K. Hasan
Journal: World Vision
Year: 2017

 

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

Profile 

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