Our Team Members
Chief Engineer
Dr. habil. Dominik Schallmoser
Dominik Schallmoser (né Kaaser)
Data Engineering
Blohmstraße 15,
21079 Hamburg
Building BS15, Room 5.009
Phone: +49 40 306 01 2524
PhD Students
Nisal Hemadasa
Nisal Hemadasa
Data Engineering
Blohmstraße 15,
21079 Hamburg
Building BS15, Room 5.010
E-Mail:nisal.hemadasa(at)tuhh.de
Leandro Rometsch
Leandro Rometsch
Data Engineering
Blohmstraße 15,
21079 Hamburg
Building BS15, Room 5.011
E-Mail: leandro.rometsch(at)tuhh.de
Antonios Iosifidis
Antonios Iosifidis
Data Engineering
Blohmstraße 15,
21079 Hamburg
Building BS15, Room 5.010
E-Mail: antonios.iosifidis(at)tuhh.de
Team Assistance
Ulrike Schneider
Data Engineering
Blohmstraße 15,
21079 Hamburg
Building BS15, Room 5.012
Phone: +49 40 306 01 3227
E-Mail:u.schneider(at)tuhh.de
Office Hours:
- Mo - Wed: 9:00 - 14:00
- Thu - Fri: 9:00 - 14:00 (by phone)
Former Members
Prof. Dr.-Ing. Stefan Schulte
Prof. Dr.-Ing. Stefan Schulte
Short CV
Dr.-Ing. Stefan Schulte was Full Professor at Hamburg University of Technology, head of the Institute for Data Engineering, and lead the Christian Doppler Laboratory Blockchain Technologies for the Internet of Things (CDL-BOT).
He received a diploma degree in economics and a Bachelor in Computer Science from the University of Oldenburg, Germany, and a Master of Information Technology (with Merit) from the University of Newcastle, New South Wales, in 2005 and 2006, respectively. From 2006 to 2010, he was a PhD student at the Multimedia Communications Lab at TU Darmstadt, Germany. In 2010, Prof. Schulte finished his PhD at TU Darmstadt summa cum laude ("mit Auszeichnung").
In 2011, he joined the Distributed Systems Group at Technische Universität Wien as Postdoctoral Researcher. From 2015 to early 2019, he was Assistant Professor (tenure track) at TU Wien. He finished his habilitation ("venia docendi") in Computer Science at TU Wien’s Faculty of Informatics in 2018 and got promoted to the tenured position of Associate Professor in March 2019.
After receiving offers from Technische Universität Ilmenau, University of Bamberg, Freiberg University of Mining and Technology, and University of Paderborn, he joined Hamburg University of Technology in September 2021.
Findings from his research have been published in more than 140 refereed scholarly publications, including publications in high-tier journals like Information Systems, IEEE Transactions on Services Computing, and ACM Computing Surveys as well as top-tier conferences like the International Conference on Very Large Databases. Amongst others, he received Best Paper Awards at the 3rd IEEE International Conference on Blockchain (in 2020) and the 10th European Conference on Service-Oriented and Cloud Computing (in 2023).
In 2024, he is the PC Co-Chair of the IEEE International Conference on Fog and Edge Computing (ICFEC) and of the IEEE International Conference on Cloud Engineering (IC2E). He is the Spokesperson of the "Communication and Distributed Systems" Special Interest Group of the German Informatics Society and Speaker of the IFIP Working Group on "Service Oriented Systems".
From 2012 to 2015, Prof. Schulte was the project coordinator of the EU FP7 STREP SIMPLI-CITY - The Road User Information System of the Future, and from 2015 to 2017, he was the Scientific Leader of the EU Factories of the Future Research and Innovation Action Cloud-based Rapid Elastic Manufacturing (CREMA). He has acquired several projects sponsored by the industry, the German Federal Ministry of Economics and Technology and the European Union and was the overall proposal coordinator of the EU projects Adaptive Virtual Enterprise Manufacturing Environment (ADVENTURE), SIMPLI-CITY, and CREMA. Currently, he leads CDL-BOT.
Research Interests
Prof. Schulte's research strives to provide the means to process (big) data from, within, and beyond the Internet of Things (IoT). For this, he investigates and applies methods and mechanisms from the fields of data engineering and elastic computing. The proliferation of these technologies enables both small-scale and large-scale smart environments and systems for smart cities, smart energy grids, and smart factories. A special focus is on Quality of Service (QoS) and Quality of Experience (QoE) aspects. He has made several important contributions to the fields of elastic stream processing, elastic processes, and fog computing.
An important focus of his research are blockchain technologies, both with regard to the application of blockchains in novel areas (especially the Internet of Things), and fundamental research (especially with regard to blockchain interoperability), as investigated in CDL-BOT.
While Prof Schulte's research results are generally applicable, a special focus is on the manufacturing industry, e.g., in the projects CREMA, ADVENTURE, Fog Computing for Robotics and Industrial Automation (FORA) as well as the Doctoral College Cyber-Physical Production Systems, and smart mobility, e.g., in the project SIMPLI-CITY.
Further Information
Elmira Ebrahimi
Elmira Ebrahimi was a research assistant and Ph.D. candidate at the Institute of Data Engineering , TU Hamburg, from June 2023 to May 2026. She graduated with an M.Sc. in software engineering from Tehran University.
Research Interests
- Blockchain
- Zero-knowledge Proofs
- Machine Learning
Projects
Google Scholar Profile
Dr. Anh-Tu Hoang
Dr. Anh Tu Hoang was a Postdoctoral Researcher at the Hamburg University of Technology from December 2023 to May 2026. He obtained the Bachelor of Information Technology and the Master of Information Systems at the University of Science, Vietnam National University in Ho Chi Minh City. In 2020, he defended his PhD at the University of Insubria, Varese, Italy.
His research focuses on the development of privacy and security protection mechanisms for data sharing, machine learning training, and blockchain platforms. He has published publications at top-tier conferences/journals such as the IEEE International Conference on Data Engineering (ICDE), the IEEE Transactions on Dependable and Secure Computing (TDSC), and the ACM Transactions on Transactions on Privacy and Security (TOPS). Moreover, he also the reviewers of conferences/journals like the International Conference on Very Large Data Bases (VLDB), ICDE, TOPS, TDSC, ACM Computing Surveys.
Research Interests
- blockchain,
- privacy,
- security,
- machine learning,
- applied cryptography
Projects
Avik Banerjee
Avik Banerjee
Avik Banerjee was a research assistant and Ph.D. student at the Institute for Data Engineering at the TU Hamburg from 2022 to 2026. After finishing his bachelor studies in Computer Science and Engineering in 2017, he received his master's degree in Computer Science from the Universität Stuttgart in 2021.
Research Interests
- Blockchain
- Machine Learning
- Natural Language Processing
Google Scholar Profile
Nimet Eylem Tas
Nimet Eylem Tas
Eylem Tas was an academic professional serving as a Data Steward Research Assistant at CRC 1615: SMART Reactors for Future Process Engineering at the Institute for Data Engineering at the Technical University of Hamburg (TUHH), Germany from February 2024 to January 2026. Holding a Bachelor of Business Administration from the University of Marmara and a Master of Arts in Educational Sciences from Otto von Guericke University, she is currently pursuing a Doctorate in Information Systems, specializing in Socio-Technical System Design at the University of Hamburg. Her research interests extend to Digital, Data, and AI Literacy, exploring the intersection of these areas with educational systems. Additionally, she is passionate about fostering University-Industry Collaboration in Teaching within Higher Education, aiming to bridge the gap between academia and industry. With expertise in education system design and a research background spanning educational sciences and information systems, her contributions play a valuable role in interdisciplinary research endeavors.
From September 2020 to April 2021, Eylem Tas served as a Research Assistant at the University of Hamburg, focusing on empirical educational research, empirical social research, and descriptive statistics at the Measuring and Evaluating Competencies (MEZ) department https://www.mez.uni-hamburg.de/. Following this, from May 2021 to September 2021, she worked as a Research Assistant at the Center for Technology-Enhanced Education (ZtB) (https://www.hsu-hh.de/ztb/) at Helmut Schmidt University - University of the Federal Armed Forces Hamburg, where she concentrated on competence-oriented digital (further) education and the integration of AI in university education, vocational training, and adult education. Subsequently, from December 2021 to August 2024, she continued her career as a Research Assistant at the University of Hamburg, focusing on coordinating transfer efforts, developing a data-based transfer ecosystem, and fostering partnerships with public, private-sector, and civil society entities in the metropolitan region of Hamburg to spearhead innovative data-based teaching laboratory projects under the Project DDLitLab (https://www.isa.uni-hamburg.de/ddlitlab.html).
Research Interests:
Her research interests encompass the multifaceted realm of University-Industry Collaboration, focusing on the development of Data Literacy and AI Literacy in Higher Education. She is passionate about developing Data Ecosystems and fostering Data Literacy in Higher Education, aiming to equip students with the necessary skills and knowledge to navigate the increasingly data-driven world effectively. Specifically, she delves into:
- Analyzing Best Practices in University-Industry Collaboration in the field of AI to identify relevant skills and competencies for enhancing graduates' employability.
- Investigating the effects of University-Industry Collaboration on closing competency gaps in the AI domain and promoting graduates' employability.
- Identifying AI-based tools and technologies that can be utilized in University-Industry Collaboration to enhance skills development and student employability.
- Exploring industry needs and expectations regarding graduates with Data Literacy and AI Literacy, and their influence on curricula and programs in higher education.
- Developing measures and strategies for assessing and validating Data Literacy and AI Literacy acquired through University-Industry Collaboration to enhance student employability and facilitate the transition into the workforce.
- Evaluating the effectiveness of University-Industry Collaboration in fostering AI Literacy and its contribution to the sustainable development of companies and organizations.
Projects:
- CRC 1615: SMART Reactors for Future Process Engineering
https://www.researchgate.net/profile/Eylem-Tas-2
Michael Sober
Michael Sober
Michael Sober was a research assistant and Ph.D. student at the Institute of Data Engineering at TU Hamburg from September 2021 to November 2024 where he successfully defended his doctoral thesis in January 2025 and passed the exam with top marks.
After finishing his bachelor studies in Software & Information Engineering in 2018, he received his master's degree in Software Engineering & Internet Computing from TU Wien in 2020.
Research Interests
- Blockchain
- Distributed Systems
- Applied Cryptography
Projects
Publications
