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

University of Science and Technology Beijing, China

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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.

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

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.

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