2026 International Conference on Decision, Management, and Learning Systems (DMLS 2026)

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Prof. Javid Taheri

Queen’s University Belfast, UK

Bio:

Javid Taheriis now working at Queen’s University Belfast, UK and was a Full Professor at the Department of Computer Science, Karlstad University, Sweden. He received his PhD in Mobile Computing from University of Sydney (Australia) in 2007, and his Bachelor and Masters of Electrical Engineering from Sharif University of Technology, Tehran (Iran) in 1998 and 2000, respectively.

He is the recipient of many awards including being selected as one of the top 200 young researchers in the world by the Heidelberg Forum in 2013, the recipient of several best paper awards since 2007, and the recipient of the prestigious IEEE Middle Career Researcher award from TSCS in Scalable Computing in 2019. He holds several cloud/networking related industrial certification from VMware, Cisco, Microsoft and IBM. His research interests includes Cloud Computing, Edge/Fog Computing, Network Function Virtualization, Software-defined Networking, and AI-based optimization techniques.

He is the editor of a book entitled ‘‘Big Data and Software Defined Networks’’, and is currently co-editing another book entitled ‘‘Edge Computing: Models, Technologies and Applications’’. He co-authored >180 scientific articles and papers, has been serving as an editor for >15 journals, as well as a member of organizing team for >30 international conferences.

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Prof.Giuseppe Di Fatta

Free University of Bozen-Bolzano, Italy

Bio:

Giuseppe Di Fatta is a Full Professor at the Free University of Bozen-Bolzano (Italy) since 2022. From 2006 to 2021, he was with the University of Reading (UK), where he also served as Head of the Department of Computer Science from 2016 to 2021. Between 2004 and 2006, he was at the University of Konstanz (Germany), where he was part of the initial development team of KNIME, a widely used data science and machine learning platform. From 2000 to 2004, he worked with the High-Performance Computing and Networking Institute of the National Research Council of Italy, and in 1999 he was a research fellow at the International Computer Science Institute (ICSI) in Berkeley, California.

His research interests include artificial intelligence, machine learning algorithms, data science, and data-driven applications in both scientific and industrial domains. He has authored more than 140 peer-reviewed publications and has been a member of the IEEE since 2002 and a Fellow of the Higher Education Academy (UK) since 2009. He is also a member of the Technical Committee on Machine Learning (TC-ML) of the IEEE Systems, Man, and Cybernetics Society.

Prof. Wenke Zang

Shandong Normal University, China

Bio:

Dr. Wenke Zang is the Deputy Dean of Meigu College and Director of the Department of E-Commerce at Shandong Normal University. From 2015 to 2018, he was a visiting scholar at both the College of Business and the College of Sciences at the University of Texas at San Antonio (UTSA), USA. He serves as an evaluation expert for degrees and postgraduate education at the Degree Center of the Ministry of Education, a senior member of the China Computer Federation (CCF), a council member of the Shandong Computer Society, a council member of the Computer Teaching Committee of the Shandong Higher Education Society, a science and technology expert of Shandong Province, an industrial and information technology expert of Shandong Province, a high-level talent of Jinan City, an “Outstanding Young Scholar” at Shandong Normal University, an excellent postgraduate supervisor, and a core member of the university’s “Five-Guidance” Excellent Graduate Supervision Team. His primary research areas include intelligent computing, machine learning, data mining, digital transformation of enterprises, business administration, smart tourism, and e-commerce. In recent years, he has published over 30 papers in top journals such as Knowledge-Based Systems, Pattern Recognition, and Information Sciences, published four textbooks under the national “12th Five-Year Plan”, and holds multiple intellectual property rights.