Committee Members

Kuize Zhang received his B.S. and Ph.D. in Mathematics and Control Science from Harbin Engineering University, China, in 2009 and 2014. He is currently a professor at Xi’an Jiaotong University, China. He has previously held positions at the University of Surrey (UK), Technical University of Munich (Germany), KTH Royal Institute of Technology (Sweden), and was a Humboldt Fellow at TU Berlin.

His research focuses on formal verification and synthesis in discrete dynamical systems, with interests in Boolean control networks, automata theory, Petri nets, and related areas. He is a senior IEEE member since 2017 and co-organized the “Semi-Tensor Product of Matrices and Its Applications” workshop at CDC 2023. He has authored two monographs and over 70 research publications.

Guangxia Xu is currently a professor and a Ph.D. supervisor at the Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China. She is also with the Department of New Networks at Peng Cheng Laboratory and the School of Software Engineering at Chongqing University of Posts and Telecommunications. She received her M.S. and Ph.D. degrees in computer science from Chongqing University, Chongqing, China in 2006 and 2011, respectively. Her research interests include information security and network management, Big Data analytics for network security, and Blockchain technology. She is a committee member at the Blockchain of CCF, an IEEE Senior Member, and an ACM member.

I received my PhD titled “An investigation of the behaviour of financial markets using agent-based computational models” from Newcastle University before I went to Queen Mary University in London. I joined the University of York in 2014, first as a Lecturer until 2016, then as Senior Lecturer until 2022 and from October 2022 as Reader in Finance. I am a Senior Fellow of the UK Higher Education Academy and a Certified Management and Business Educator. My teaching and research focus is on Fintech, cryptocurrency trading and the role of Artificial Intelligence and machine learning in financial markets. I supervise PhD students researching different areas of worldwide financial and cryptocurrency markets. I am an editorial member of the Review of Behavioral Finance, Cambridge Scholars Publishing, Journal of Computer Science Research, and Artificial Intelligence Advances

Dr. Farid Shirazi is a Professor at Ted Rogers School of Information Technology Management and a Senior Researcher at the Institute for Innovation and Technology Management at Toronto Metropolitan University, Canada. His main research interests are the ethical and security perspectives of introducing and using ICTs, Big Data and Business Analytics, AI and Machine Learning, IT-enabled sustainability and development, Cloud Computing, Enterprise Architecture and governance, and Green IS management.

He has published in several journals, including the International Journal of Information Management (IJIM), Information & Management (I&M), Industrial Marketing Management, International Journal of Production Economics, British Journal of Management, Journal of Information Technology & People (ITP), Technological Forecasting and Social Change, and Telematics and Informatics.

Javier Vaca-Cabrero is a researcher and lecturer at the Polytechnic University of Madrid, specializing in port logistics, port governance, and digital transformation of maritime operations. He has participated in international projects on port digitalization and sustainable logistics. He has authored and co-authored numerous scientific articles in indexed journals and conferences, with a particular focus on the application of emerging technologies in port environments, sustainable logistics and blue economy. His academic profile can be found on ORCID and the UPM Scientific Portal.

Massimo Bello is a researcher at the Polytechnic University of Milan, specializing in [insert field of expertise, e.g., blockchain technology, energy markets, environmental sustainability, etc.]. His work focuses on [briefly describe research interests, e.g., integrating blockchain solutions into CO₂ markets, enhancing energy efficiency, smart grids, etc.].

With a strong background in [mention relevant academic or professional expertise], Bello has contributed to various studies and projects aimed at improving [mention key areas of impact, such as sustainable energy practices, digital transformation, etc.]. His research seeks to bridge the gap between innovative technologies and real-world applications, fostering more efficient and transparent systems.

Ming Li is an associate professor in the College of Information Science and Technology & College of Cyber Security at Jinan University in Guangzhou. Before that, He was a Postdoc in the School of Computing and Information Systems at Singapore Management University in Singapore. His research focuses on information security, especially blockchain security. Dr. Li has published more than 30+ papers in top journals and conferences, such as IEEE TPDS, IEEE TDSC, IEEE TIFS, and Financial Cryptography and Data Security.

Hao Fu received his Ph.D. in Department of Electrical and Computer Engineering in New York University, Tandon School of Engineering, Brooklyn, NY, USA, 2024. His major field of study contains machine learning, finance, and control theory. In 2018 Fall, he joined in Control/Robotics Research Laboratory at NYU. He is studying backdooring attacks against neural networks and security problems in cyber-physical systems. Dr. Fu published articles in IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, Automatica, IEEE/CVF Winter Conference on Applications of Computer Vision and IEEE Access

Ang Liu is a lecturer at SUNY Albany with a research focus on economic geography, housing, financialization, and urban development. His work explores the intersections of real estate finance, urban policy, and financial technologies, with a particular emphasis on housing markets, blockchain-based real estate tokenization, and global financial geographies. Ang has published in many leading academic journals.

DOMENICO DESIATO received from the University of Salerno an MSc (cum laude) in Computer Science and a PhD in Computer Science and Information Engineering. He is currently an Assistant

Professor and post-doctoral researcher at the University of Bari Aldo Moro, Department of Computer Science. He regularly serves as a Reviewer in conferences and journals, such as Information Sciences (Elsevier), Computer C Security (Elsevier), Big Data Research (Elsevier), IEEE Access, 12th International Conference on Model and Data Engineering, and the 35th International Conference on Software Engineering C Knowledge Engineering. He is a program committee member of the 29th International DMS Conference on Visualization and Visual Languages and the IEEE International Conference on AI x Data C Knowledge Engineering. Moreover, he served as guest editor of the Special Issue on Data Security in IoT Networks – Applied Sciences (ISSN 2076-3417). His research interests include Data Privacy, Data Security, Data Anonymization, Big Data, Privacy-preserving Machine

Learning, Social Network Data Sharing, Improving users’ privacy awareness in social network platforms, Cybersecurity, Fake account identification, and Cyberbullying detection

Fahad Alturise is currently working as an Associate Professor in the Department of Cybersecurity, College of Computer, Qassim University. He has seventeen years of experience in teaching and research. Dr. Alturise holds a PhD in Information Technology from Flinders University. His primary research interests include e-services, AI, ML, IOT, ICT adaptation, IT security and Software Engineering. He has published over 70 papers in international journals and conference proceedings He was a member of the Australian Computer Society (ACS) for four years and served as a reviewer and Technical Program Committee (TPC) member for numerous journals and conferences.

I am the Director at the Centre of Instructional Resources & e-Learning (CIReL-UMP) and an Associate Professor at University Malaya Pahang (UMP) with over 10 years of experience in academia. I hold a Ph.D. in Engineering from Cardiff University, UK, focusing on decision-making for sustainable product design.

My expertise spans knowledge management, integrated systems, decision-making, e-learning, and sustainable engineering. I have published extensively and received multiple gold medals in international research competitions, including the British Invention Show and ITEX.

I am skilled in teamwork, project leadership, and managing tight deadlines, with a strong background in both academic and administrative roles.

Dr. Ammar Odeh earned his PhD in Computer Science and Engineering from the University of Bridgeport in 2015, and M.Sc. in Computer Science from Jordan University in 2006. His research interests include Computer Security and Software Engineering, and he teaches Programming Languages, Information Security, and Software Engineering.