Prof. Dr.-Ing. Roman Obermaisser, University of Siegen 
Prof. Dr.-Ing. Roman Obermaisser is a full professor at the Division for Embedded Systems at the University of Siegen. He studied computer sciences at the Vienna University of Technology and received his Master’s degree in 2001. In February 2004, Roman Obermaisser finished his doctoral studies in computer science with Prof. Hermann Kopetz at the Vienna University of Technology as his research advisor. In July 2009, Roman Obermaisser received the habilitation (“Venia docendi”) certificate for technical computer science. His research work focuses on system architectures for distributed embedded real-time systems. He wrote a book on an integrated time-triggered architecture that was published by Springer-Verlag, U.S.A. He is the author of several journal papers and conference publications. He has also participated in numerous EU research projects (e.g., DECOS, NextTTA) and was the coordinator of the European research projects GENESYS, ACROSS, and DREAMS.

Dipl.-Inform. Michael Schmidt , University of Siegen

Michael-Christian Schmidt is a scientific research assistant at the Chair for Embedded Systems at the University of Siegen. The research focuses on fault-tolerant software architectures for real-time applications based on Linux. He graduated in 2010 with a diploma in Applied Computer Science and worked afterwards as a software engineer in industry where he gained deep knowledge in the area of databases, client-server applications, user interfaces and software architectures for distributed systems. In 2015, Michael-Christian joined the BMBF funded project Cognitive Village which aimed at developing an adaptive learning system for supporting the everyday life of elderly in their homes. Currently, he is working on the implementation of safety-relevant software that runs on a System-On-Chip using programming languages like VHDL and C. 

M.Sc. Ali Behravan, University of Siegen
Ali Behravan is a Ph.D. candidate at the University of Siegen, Germany, since 2016 and he received Master’s degree in mechanical engineering in 2014. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), the European AI Alliance, as well as the Association of German Engineers (Verein Deutscher Ingenieure, VDI). Besides his Ph.D. studies, he is serving as a research associate in the area of embedded mechatronics systems such as Smart Buildings’ new HVAC technologies and fault tolerant systems aligned with the German Research Foundation (DFG) projects. He served as the lecturer in graduate level at the Department of Electrical Engineering at the University of Siegen since 2016. Ali advised numerous Master Theses, Student Works (Studienarbeit), and Seminar Works at University of Siegen. He is selected as the scientific committee member for the IEEE CoDIT 2020 in Prague, Czech Republic, ICIE 2020 in Portugal, and IEEE CoDIT 2019 in Paris, France while he served reviews for Elsevier journals, e.g. Energy, Energy and Buildings, etc. He has published scientific papers at prestigious IEEE conferences as well as reputed journals and received the Best Paper Award at IEEE IEMCON 2018, University of British Columbia, Vancouver, Canada.

Prof. Dr. Sören Auer

Prof. Dr. Sören Auer, Leibniz Information Center for Science and Technology, University Library (TIB)
Director TIB, Head of research group Data Science and Digital Libraries

Following stations at the universities of Dresden, Ekaterinburg, Leipzig, Pennsylvania, Bonn and the Fraunhofer Society, Prof. Auer was appointed Professor of Data Science and Digital Libraries at Leibniz Universität Hannover and Director of the TIB in 2017. Prof. Auer has made important contributions to semantic technologies, knowledge engineering and information systems. He is the author (resp. co-author) of over 100 peer-reviewed scientific publications. He has received several awards, including an ERC Consolidator Grant from the European Research Council, a SWSA ten-year award, the ESWC 7-year Best Paper Award, and the OpenCourseware Innovation Award. He has led several large collaborative research projects, such as the EU H2020 flagship project BigDataEurope. He is co-founder of high potential research and community projects such as the Wikipedia semantification project DBpedia, the OpenCourseWare authoring platform and the innovative technology start-up Prof. Auer was founding director of the Big Data Value Association, led the semantic data representation in the Industrial/International Data Space, is an expert for industry, European Commission, W3C and member of the advisory board of the Open Knowledge Foundation.

The research focus – with special attention on semantic data interlinking for artificial intelligence – are in the following areas:

Data Science, Artificial Intelligence, Knowledge Representation, Engineering & Management
Information Systems, Databases, Data Integration, Linked Data, Semantic and Web Technologies
Software and Systems Engineering, data-driven Platforms, Web Engineering
Enterprise Integration, Semantically enhanced Service Oriented Architectures
Digital Libraries, E-Science, Science Governance, Peer-Review, Open Access
Semantic Data Integration for Engineering & Manufacturing (Industry 4.0), Mobility and Built Environment (Smart Cities), Digital Libraries & Research Infrastructures

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Alexandra Garatzogianni, Leibniz Information Center for Science and Technology, University Library (TIB)
Alexandra Garatzogianni studied management, project management, management consulting, linguistics, media and communication. Her business interests focus on innovation and project management, international business development, software product management, startup consulting in physical and digital incubators and data-driven entrepreneurship. She successfully led consortia in EU Horizon 2020 ICT Research and Innovation projects, feasibility studies at European level and prototype development for a major telecommunications operator and world’s fourth-largest mobile service provider by subscriber base. She has led the PM WP for H2020 RIA and CSA Consortia (BigDataEurope, OpenBudgets etc.) and the Communication, Dissemination, Exploitation and Sustainability WP (ODINE, SlideWiki etc.). Moreover she has led on behalf of the Leibniz University of Hannover the dissemination and tech transfer of the EU funded projects Boost4.0, Big Data for Factories, iASIS and BigMedilytics. She was a member of the organizing Committee of the European Data Forum since 2014 and is a member of the Organizing Committee of the SEMANTiCS conference since 2017. She has supported the BDVA, Big Data Value Association as senior communication consultant and manager when working for founding member Fraunhofer and now as the L3S Research Center contact person and official representative in BDVA’s General Assembly. She is a member of the European AI Alliance and Europeana. She is currently working as a Senior Research and Innovation Project Manager at the Leibniz Information Center for Science and Technology, University Library (TIB) and the L3S Research Centre at Leibniz University of Hannover, while managing the Leibniz Joint Lab Data Science and Open Knowledge, which intensifies the cooperation between TIB, LUH and L3S and serves as a nucleus for further initiatives in the field of research and innovation in the domains of manufacturing and automation, health, data and web science and education. Furthermore Alexandra leads tech transfer activities at TIB and L3S Research center with key industrial stakeholders, aiming to pave the way for digitalization and industry 4.0. She considers herself a citizen of the world and has successfully passed the official C2 level exams in German, English, French, Spanish and Portuguese (European and Brazilian), while being fluent in Greek and Russian.

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Prof. Dr. Maria-Esther Vidal, Leibniz Information Center for Science and Technology, University Library (TIB)

Prof. Dr. (Univ. Simon Bolivar) Maria-Esther Vidal is the head of the Scientific Data Management Research Group at TIB [1] and a member of the L3S Research Centre at the University of Hannover; she is also a full professor (on-leave) at Universidad Simón Bolívar (USB) Venezuela. Her interests include Big data and knowledge management, knowledge representation, and semantic web. She has published more than 170 peer-reviewed papers in Semantic Web, Databases, Bioinformatics, and Artificial Intelligence. She has co-authored one monograph, and co-edited books and journal special issues. She is part of various editorial boards (e.g., JWS, JDIQ), and has been the general chair, co-chair, senior member, and reviewer of several scientific events and journals (e.g., ESWC, AAAI, AMW, WWW, KDE). She is leading data management tasks in EU and national projects like iASiS, BigMedylitics, QualiChain, PLATOON, CLARIFY, and ImProVIT; she is a supervisor of MSCA-ETN projects WDAqua and NoBIAS. She has been a visiting professor in different universities (e.g., Uni Maryland, UPM Madrid, UPC, KIT Karlsruhe, Uni Nantes). In the past, she has participated in international projects (e.g., FP7, NSF, AECI), and led industrial data integration projects for more than 10 years (e.g., Bell South, Telefónica).

The research focus – with special attention data management – are in the following areas:
Data Science, Semantic Web, Knowledge Graphs and Big Data Analytics
Databases, Federated Query Optimization, and Processing
Information Systems, Data Integration, Linked Data
Semantic Data Management for Bio-Medicine and Life Sciences, OMICS Data Integration and Analytics, Research Infrastructures

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Asst. Prof. Dr.-Ing. Mahdi Bohlouli, Petanux GmbH

Mahdi Bohlouli is currently Assistant Professor for data science and machine learning at the Institute for Advanced Studies in Basic Sciences (IASBS) and CEO and founder of Petanux GmbH with the main research focus on applied deep learning and big data, especially in tackling misinformation (fake-news) and identification of social bots areas. This covers the use of a novel recurrent neural network approach featuring an attention mechanism. Furthermore, Mahdi leads significant researches in the areas of applied deep learning and big data analytics in services of tomorrow covering work 4.0, smart cities and web of things.



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Aparup Khatua, Petanux GmbH

Shahram Rahimi

Prof. Dr. Shahram Rahimi, Mississippi State University
Research and Fields of Interest:
Computational Intelligence
Machine Learning and Soft Computing
Artificial Intelligence
Multi-Agent Systems.

Asst. Prof. Dr. Rachel Cummings, Georgia Institute of Technology

Dr. Rachel Cummings is an Assistant Professor of Industrial and Systems Engineering and (by courtesy) Computer Science at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. Her work has focused on problems such as strategic aspects of data generation, incentivizing truthful reporting of data, privacy-preserving algorithm design, impacts of privacy policy, and human decision-making.

Dr. Cummings received her Ph.D. in Computing and Mathematical Sciences from the California Institute of Technology, her M.S. in Computer Science from Northwestern University, and her B.A. in Mathematics and Economics from the University of Southern California. She is the recipient of a Google Research Fellowship for the Simons Institute program on Data Privacy, a Mozilla Research Grant, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, a Caltech Leadership Award, a Simons Award for Graduate Students in Theoretical Computer Science, and the Best Paper Award at the 2014 International Symposium on Distributed Computing. Dr. Cummings also serves on the ACM U.S. Public Policy Council’s Privacy Committee and the Future of Privacy Forum’s Advisory Board.

Prof. Dr. Louiqa Raschid, University of Maryland

Louiqa Raschid is a professor at the University of Maryland where she holds appointments in the Smith School of Business, the Institute of Advanced Computer Studies (UMIACS) and the Department of Computer Science. She is a member of the Computational Linguistics and Information Processing (CLIP) Lab, the Database Group and the Center for Bioinformatics and Computational Biology.

She has over two decades of experience in data science, a computational paradigm with the potential to fundamentally change the way we exploit data driven decision making to support a broad range of human activities. Raschid has made pioneering contributions towards meeting data integration, data management and data mining challenges in multiple non-traditional domains. Her multidisciplinary research spans the fields of computer science to business information systems, with a strong link to important data science applications including the life sciences and health sciences, humanitarian disaster relief applications, human behavior modeling within social streams, and the modeling and management of financial ecosystems. She has been an ACM Distinguished Scientist since 2008 and was named an ACM Fellow in 2016.