Prof. Bingding Huang, Shenzhen Technology University, China

        Research area: Bioinformatics, precision medicine, artificial intelligence, medical imaging, big data technology and Application

Experience: Bingding Huang is a professor at the College of Big Data and Internet, Shenzhen University of Technology, and the leader of the discipline of Bioinformatics and Big Data. He graduated from the College of Life Sciences, University of Science and Technology of China in 2002, and received a master's degree in computer science from the German Max Planck Society, studying at Saarland University and the Max Planck Institute for Computer Science in Germany; from 2004 to 2007, he studied at the Department of Computer Science, Technical University of Dresden, Germany, and received a doctor’s degree in Computer Science at the Technical University of Dresden, Germany, 2004-2007. He was a bioinformatician at the German Cancer Research Center, a senior scientist at Neo New Oncology in Cologne, a subsidiary of Siemens Healthcare, and Vice President of Research and Development at Shenzhen Zhongke Precious Biotechnology. He has extensive experience in bioinformatics algorithms and software development, cancer genomic data analysis and precision medicine, and the related software and web servers developed by him are freely available to the academic community and are widely used by international peers.

       Prof. Erich Heumüller, Baden-Wuerttemberg Cooperative State University, Germany

       Research area: Digital Transformation, Digital Ecosystems and Platforms

Experience: Prof. Dr. Erich Heumüller is a full professor for business information systems and head of the Centre for Digital Transformation at the Baden-Wurttemberg Cooperative State University in Stuttgart, Germany. He is faculty member of the NITIM (Networks, Information, Technology & Innovation Management) European Graduate School and supports conferences and journals as Associate Editor and Reviewer. His lectures and research projects are about digital transformation, digital ecosystems and platforms, process automation and process mining. Previously, he supported company clients such as Rolls Royce Power Systems or Deutsche Bahn as well as higher levels of government in Germany as a management consultant in the areas of digitalization strategy, IT organization and business processes. Together with his clients, he evaluated technological innovations and their application potential for existing business models and supported technology adoption. He received his diploma and doctorate degrees at the University of the German Armed Forces in Munich.

        Prof. Juan Wang, Beijing Computer Society, China

        Research area: Digital Economy, Cryptocurrency, Blockchain

Experience: Juan Wang, Professor, PhD (Postdoc) in Applied Economics, Xi‘an Jiaotong University and Postdoctoral Fellow (Visiting Scholar) in Systems Engineering, University of Florida, USA. She is the Secretary-General of Digital Economy Special Committee of Beijing Computer Society and Member of the Blockchain Policy Expert Board (BEPAB) of the Organization of Co-operation and Development (OECD).

She participated in and presided over many international and national projects and policy researches, such as OECD digital economy and Blockchain, ITU-T financial payment research, Digital China，“National digital business environment evaluation”, Digital economy innovation pilot zone, “Going to cloud and Cultivating new economic development using digital intelligence”, blockchain and digital currency, data element market cultivation and so on.

        Prof. Patrick Glauner, Deggendorf Institute of Technology, Germany

        Research area: Artificial Intelligence

Experience: Dr. Patrick Glauner is a full professor of Artificial Intelligence at Deggendorf Institute of Technology since his age of 30. He has been ranked by CDO Magazine among the worldwide academic data leaders. In parallel, he is the Founder & CEO of skyrocket.ai GmbH, an AI consulting firm. As an expert witness, he advised the German federal parliament and the French National Assembly on AI. He also regularly advises politicians on European, federal, state, and local levels. His works on AI were featured by New Scientist, McKinsey, Imperial College London, Times Higher Education, Coursera, Udacity, the Luxembourg National Research Fund, Towards Data Science, Süddeutsche Zeitung, Bayerischer Rundfunk, Westdeutscher Rundfunk, Wehrtechnik, Konstruktionspraxis, and others. He was previously Head of Data Academy at Alexander Thamm GmbH, Innovation Manager for Artificial Intelligence at Krones Group, a Fellow at the European Organization for Nuclear Research (CERN), and a visiting researcher at the University of Quebec in Montreal (UQAM). He graduated as valedictorian from Karlsruhe University of Applied Sciences with a BSc in Computer Science. He subsequently received an MSc in Machine Learning from Imperial College London, an MBA from Quantic School of Business and Technology, and a PhD in Computer Science from the University of Luxembourg. He is an alumnus of the German National Academic Foundation (Studienstiftung des deutschen Volkes).

        Prof. Sandra Jednak, University of Belgrade, Serbia

Research area: Knowledge Economy, the Economics of ICT, Energy Economics, International Economics and Higher Education

Experience: Sandra Jednak is a full professor at the Faculty of Organizational Sciences, University of Belgrade. She received her bachelor's, master's, anddoctorate degrees from University of Belgrade. She was visiting lecturer in Lithuania, Germany, Austria and Poland. Her research focus is on economic development. She has published scientific research papers in international and national journals, monographs and conference proceedings.