Francesco Gullo | Graph Data Structures | Graph Analytics Achievement Recognition 

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Dr. Francesco Gullo | Graph Data Structures | Graph Analytics Achievement Recognition 

University of L'Aquila | Italy

Dr. Francesco Gullo is an Associate Professor of Computer Science at the University of L’Aquila (DISIM), Italy, where he specializes in artificial intelligence and data science with a strong focus on algorithmic foundations. He earned his PhD in Computer and Systems Engineering from the University of Calabria in 2010 and previously held research and industry positions at the University of Calabria, the University of Catanzaro, George Mason University (USA), Yahoo Labs and Fundació Barcelona Media (Spain), and the UniCredit banking group (Italy). His recent research interests span graph machine learning, graph data management, and trustworthy AI, and he has authored over 100 publications in leading international venues. Prof. Gullo has also made significant contributions to the scientific community, serving as Associate Editor for EPJ Data Science and IJDSA, General Co-Chair of WSDM 2026, Finance Chair of CIKM 2024, ADS Track PC Co-Chair of ECML-PKDD 2026, Workshop Co-Chair of KDD 2024 and ICDM 2016, and Industry Track PC Co-Chair of ASONAM 2024, in addition to organizing numerous workshops and serving regularly on senior program committees of top-tier conferences.

Profiles: Scopus | Orcid | Google Scholar

"Polarized Communities meet Densest Subgraph: Efficient and Effective Polarization Detection in Signed Networks", F Gullo, D Mandaglio, A Tagarelli, ACM Transactions on Knowledge Discovery from Data, 2025.

"Cyber Attack Protection via Temporal Online Graph Representation Learning", B Lakha, J Layne, E Serra, F Gullo, S Jajodia, IEEE Transactions on Big Data, 2025.

"Holistic dry resist optimization on bright field EUV contact hole patterning", CC Huang, F Gullo, M Brouri, A De Silva, A Lushington, N Kenane, International Conference on Extreme Ultraviolet Lithography, 2025.

"Segmentation of temporal graphs", R Giancotti, F Gullo, PH Guzzi, E Serra, P, Veltri Information Sciences, 2025

"Discovering Balance-Aware Polarized Communities in Signed Networks with Graph Neural Networks", F Gullo, D Mandaglio, A Tagarelli, 2025.

Yanfeng Liu | Graph Models | Best Researcher Award

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Prof. Yanfeng Liu | Graph Models | Best Researcher Award

Visiting Professor at Pukyong National University, South Korea📖

Dr. Liu Yanfeng is a Visiting Professor at Pukyong National University (PKNU), specializing in logistics economics, supply chain management, and consumption economics. He has a strong research background in outward foreign direct investment and the digital economy, contributing to various funded research projects. Dr. Liu actively reviews for top-tier journals and is a member of multiple academic societies related to international commerce and logistics.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

  • Ph.D. in International Commerce and Logistics – Chung-Ang University (2018–2021)
  • M.S. in International Commerce and Logistics – Chung-Ang University (2016–2018)
  • B.S. in Economics (Minor: Public Human Resources) – Chung-Ang University (2012–2016)

Professional Experience🌱

Dr. Liu has been a Visiting Professor at PKNU since August 2022, where he teaches courses on global supply chain management, technology investment, corporate growth strategies, and research methodologies. His expertise spans logistics economics, innovation in manufacturing, and technology management.=

Research Interests🔬
His research focuses on logistics economics, supply chain management, consumption economics, and outward foreign direct investment, with recent work exploring the impact of digital economies on productivity from a consumer perspective. He has contributed to research projects funded by the Jiangsu Provincial Department of Education, Gyeonggi Yeongtaek Port Corporation, and the Korea Automobile Manufacturers Association.
Author Metrics

Dr. Liu serves as a reviewer for prestigious SSCI and ESCI journals, including Journal of Travel & Tourism Marketing, International Journal of Retail & Distribution Management, Economic Analysis and Policy, and Asia Pacific Journal of Marketing and Logistics. He is an active member of multiple professional societies, including the Korea Maritime Economics Association, Logistics Society, and Northeast Asia Economic Society.

Awards & Honors

  • Best Paper Award, Korea Maritime Institute (2021)
  • Graduate School Dean’s Award (A), Chung-Ang University (2022)
  • Third Prize, Korea Maritime Institute of Fisheries Development Corporate Achievement Publication Academic Conference (2021, 2023)
Publications Top Notes 📄

1. Revenge Buying After the Lockdown: Based on the SOR Framework and TPB Model

  • Authors: Y. Liu, L. Cai, F. Ma, X. Wang
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 72
  • Article ID: 103263
  • Year: 2023
  • Citations: 80
  • Abstract: This study examines consumer behavior following COVID-19 lockdowns, focusing on “revenge buying.” Using the Stimulus-Organism-Response (SOR) framework and Theory of Planned Behavior (TPB), the paper analyzes psychological factors driving excessive consumption post-lockdown.

2. Revenge Tourism After the Lockdown: Based on the SOR Framework and Extended TPB Model

  • Authors: S. Zhao, Y. Liu
  • Journal: Journal of Travel & Tourism Marketing
  • Volume: 40 (5)
  • Pages: 416-433
  • Year: 2023
  • Citations: 19
  • Abstract: This study investigates the surge in post-lockdown travel, termed “revenge tourism.” An extended TPB model and SOR framework are employed to explore psychological motivations, travel intention, and actual behavior.

3. Psychological Antecedents of Telehealth Acceptance: A Technology Readiness Perspective

  • Authors: X. Li, Y. Zhou, Y. Liu, X. Wang, K.F. Yuen
  • Journal: International Journal of Disaster Risk Reduction
  • Volume: 91
  • Article ID: 103688
  • Year: 2023
  • Citations: 17
  • Abstract: The paper explores factors influencing the adoption of telehealth services, emphasizing technology readiness as a key determinant. It assesses consumer trust, perceived ease of use, and pandemic-induced behavioral shifts.

4. The Determinants of China’s Outward Foreign Direct Investment: A Vector Error Correction Model Analysis of Coastal and Landlocked Countries

  • Authors: Y. Liu, M. Su, J. Zhao, S. Martin, K.F. Yuen, C.B. Lee
  • Journal: Economic Change and Restructuring
  • Volume: 56 (1)
  • Pages: 29-56
  • Year: 2023
  • Citations: 15
  • Abstract: This study uses Vector Error Correction Model (VECM) analysis to examine factors influencing China’s outward foreign direct investment (OFDI) in coastal vs. landlocked provinces, identifying key economic and policy drivers.

5. Revenge Buying: The Role of Negative Emotions Caused by Lockdowns

  • Authors: Y. Liu, X. Li, K.F. Yuen
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 75
  • Article ID: 103523
  • Year: 2023
  • Citations: 12
  • Abstract: This paper explores how negative emotions triggered by lockdowns influence revenge buying behavior. It integrates emotional theories with consumer decision-making models to explain impulsive post-pandemic purchases.

Conclusion

Dr. Liu Yanfeng is a strong candidate for the Best Researcher Award due to his high-impact publications, interdisciplinary expertise, research funding success, and academic contributions. Addressing areas such as diversification of research, global collaborations, and industry applications would further enhance his profile. Nonetheless, his existing achievements position him as a top-tier researcher in logistics economics and consumer behavior studies.