Xiali Li | Computer Science | Excellence in Academic Research

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Prof. Xiali Li | Computer Science | Excellence in Academic Research Award

Minzu University of China | China

Prof. Xiali Li’s research centers on artificial intelligence, reinforcement learning, deep neural networks, and intelligent game systems, with a strong emphasis on low-resource and culturally specific board games. The scholarly record comprises 72 documents, accumulating 500 citations across 457 citing documents, with an h-index of 11, reflecting sustained academic impact. The work spans advanced reinforcement learning frameworks, transformer-based architectures, residual and LSTM-integrated models, and lightweight computer vision networks. A significant contribution lies in AI-driven modeling of Mahjong and Tibetan Jiu chess, including hierarchical decision-making, human-knowledge–enhanced reinforcement learning, and efficient data collection using improved YOLO models. Publications in high-impact journals such as Engineering Applications of Artificial Intelligence, Frontiers of Information Technology & Electronic Engineering, Tsinghua Science and Technology, and CAAI Transactions on Intelligence Technology demonstrate both methodological innovation and practical relevance, advancing intelligent systems for complex decision-making and game AI research.

Citation Metrics (Scopus)

500

400

100

50

0

Citations
500

h-index
11

Documents
72

Citations

h-index

Documents


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Featured Publications

Konstantinos Azis | Technological Networks | Research Excellence Award

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Mr. Konstantinos Azis | Technological Networks | Research Excellence Award

Democritus University of Thrace | Greece

Mr. Konstantinos Azis is an active researcher in environmental and biochemical engineering, with a strong focus on wastewater treatment processes, biological nutrient removal, membrane bioreactors, landfill leachate treatment, and advanced control strategies for energy-efficient operation of treatment systems. His research portfolio includes 14 peer-reviewed documents, which have received 119 citations across 116 citing documents, reflecting sustained scientific impact. He holds an h-index of 7, demonstrating consistent contributions to high-quality research outputs. His publications span leading international journals and conference proceedings, addressing topics such as intermittently aerated activated sludge systems, real-time control of nitrification–denitrification, simulation-based aeration strategies, fouling control in membrane systems, advanced oxidation processes, and microbial applications in environmental biotechnology. His work contributes to the development of sustainable, optimized, and data-driven solutions for water and wastewater management, supporting both environmental protection and operational efficiency.

Citation Metrics (Scopus)

120

80

20

0

 

 

Citations
119

Documents
14

h-index
7

Citations

Documents

h-index


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Featured Publications

Chao Liu | Graph Neural Networks | Research Excellence Award

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Mr. Chao Liu | Graph Neural Networks | Research Excellence Award

China University of Geosciences | China

Mr. Chao Liu is an active researcher in computer science with a strong focus on knowledge graphs, natural language processing, and big data analysis, particularly in the context of graph neural networks (GNNs). He has authored 33 scholarly documents that have attracted 492 citations across 488 citing publications, reflecting a high level of visibility and influence within the research community. With an h-index of 11, his work demonstrates consistent academic impact, especially in large-scale graph learning and data-driven intelligence. His recent contributions explore fundamental challenges in sampling-based large-scale GNNs, examining the relative roles of sampling strategies versus iterative computation for improving scalability and performance. Notably, his 2026 journal article in Neurocomputing, titled “Which plays a key role in sampling-based large-scale GNNs, sampling or iteration?”, provides important theoretical and empirical insights into efficient GNN design. Overall, his research advances scalable machine learning methods for complex, data-intensive systems.

Citation Metrics (Scopus)

600
450
300
0

Citations
492

Documents
33

h-index
11


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Featured Publications

Mi Tian- Technological Networks- Best Researcher Award

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Mi Tian- Technological Networks- Best Researcher Award

Dr. Mi Tian holds the position of Senior Lecturer and Director of Postgraduate Research in the
Department of Engineering at the University of Exeter, where her focus lies on hydrogen energy,
specifically in the field of solid-state hydrogen storage and transportation. Since her affiliation with the
UoE in 2020, Dr. Tian has been instrumental in securing upwards of £2.7 million in research funding,
with nearly £1 million attributed to her direct initiatives as PI and an additional £1.7 million as Co-I.
Her academic contributions encompass 36 publications in reputable journals, an H-index of 20, two
patents, and a notable contribution to a sector-relevant book. Her recognition in the Top 50 Women in
Engineering in 2020 and subsequent honour as one of the EPSRC Women in Engineering Ambassadors
in 2023 not only underscore her personal achievements but also reflect her commitment to promoting
equality, diversity, and inclusion within the engineering field.

🌐 Professional Profile

Educations📚📚📚

She holds a Ph.D. in Hydrogen Storage from the University of East Anglia, UK, building upon her prior academic achievements. Her journey began with a BEng in Environmental Engineering from Beijing University of Technology, China, where she laid the groundwork for her passion for environmental sciences. Subsequently, she pursued an MSc by Research in Environmental Sciences at the University of East Anglia, further honing her expertise in this field. With each degree, she delved deeper into her fascination with environmental issues, culminating in her doctoral research focused on hydrogen storage, a crucial aspect of renewable energy technology. Through her academic endeavors, she has become a dedicated scholar contributing to the advancement of sustainable solutions for the future.

Awards

She has garnered notable recognition for her contributions to engineering and sustainability, earning accolades such as being named one of the Top 50 Women in Engineering for Sustainability in 2020. Her commitment to advancing the role of women in engineering was further underscored by her appointment as an EPSRC Women in Engineering Ambassador, a position she has held since 2023. Additionally, her expertise and dedication to her field have led to her induction as a Fellow of the Institute of Materials, Minerals, and Mining (IOM3) in 2022, a prestigious honor reflecting her standing among her peers. Through her advocacy, leadership, and scholarly achievements, she continues to inspire and drive positive change in the realms of engineering and environmental sustainability.

 

Academic experience

She brings a wealth of professional experience to her current role as Senior Lecturer and Director of PGRs at the University of Exeter, UK, where she has been serving since 2022. Prior to her current position, she served as a Lecturer at the same institution from 2020 to 2022, where she demonstrated her commitment to academic excellence and student development. Before joining the University of Exeter, she contributed to groundbreaking research as a Research Associate at the University of Bath, UK, from 2017 to 2020. Throughout her career, she has been dedicated to pushing the boundaries of knowledge in her field, fostering the growth of the next generation of researchers, and making impactful contributions to academia and beyond.

Achievements

• Established the Hydrogen Storage Lab at the University of Exeter with 5 PGRs, 2 PDRAs and 1
Research Fellow.
• Secured over £2.7 million in research funding as PI and Co-I from prestigious bodies.
• Published 36 research papers in renowned journals and holds two patents in her field.
• Recognized as one of the Top 50 Women in Engineering
• Honoured as one of EPSRC Women in Engineering Ambassadors.

📝🔬Publications📝

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224