Dongqi Han is an Assistant Professor at the School of Cyberspace Security, Beijing University of Posts and Telecommunications (BUPT), where he joined in July 2024. He earned his Ph.D. in Computer Science from Tsinghua University in 2024, advised by Prof. Zhiliang Wang, with a joint Ph.D. at Nanyang Technological University under Prof. Yang Liu. His research spans AI/LLM + Security, Traffic Analysis, and Network Security. Education Ph.D., Tsinghua University (2019-2024) CSC Visiting Ph.D., Nanyang Technological University (2022-2023) Bachelor's, Jilin University (2015-2019) Research Focus: • Trustworthy AI for cybersecurity • Anomaly detection in network traffic • Network architecture security analysis Scientific Awards: IRTF Applied Networking Research Prize (2024) Distinguished Artifact Award at CCS'24 Outstanding graduate of Tsinghua University (2024) Qihang Award (2-claass) from Tsinghua University (2024) Grants & Collaborations: Participated in key R&D programs, State Grid projects, and collaborations with Alibaba and Qi-anxin Group.
Peter Druschel is the founding director of the Max Planck Institute for Software Systems (MPI-SWS) and leads the Distributed Systems Group. He holds adjunct professorships at Saarland University and the University of Maryland, reflecting his strong academic affiliations in computer science. He has previously served as a Professor of Computer Science at Rice University and has held visiting positions at MIT, Microsoft Research Cambridge, and LIP6. Education: Ph.D. in Computer Science, University of Arizona, 1994 His research centers on building secure, compliant, and privacy-preserving distributed and mobile systems. Key interests include accountable systems, peer-to-peer networks, operating systems, and network security. He has led foundational work in systems like Pastry, Scribe, and Glacier, and currently focuses on privacy compliance in data processing through projects like Thoth and iPic. His work is supported by major grants from the ERC, Max Planck Society, DFG, BMBF, and Google. The recent publications highlight a consistent trend in secure and privacy-aware systems, with a focus on policy enforcement, isolation mechanisms, anonymity, and mobile security. These works span top venues such as USENIX Security, OSDI, MobiSys, and SIGCOMM, reflecting sustained impact in systems and security communities. Scientific Awards: NSF CAREER Award (1995) Alfred P. Sloan Fellowship (2000) SIGOPS Mark Weiser Award (2008) Microsoft Research Outstanding Collaborator Award (2016) EuroSys Lifetime Achievement Award (2017) Druschel has advised numerous PhD and master’s students and postdoctoral researchers at MPI-SWS. He has co-directed major collaborative programs including the Cornell-Maryland-Max Planck Pre-doctoral School and the Maryland Max Planck Ph.D. Program. His leadership extends to professional service, having chaired SOSP, OSDI, NSDI, and EuroSys, and served on editorial boards of CACM, TOCS, and Royal Society Open Science. He is a member of Academia Europaea and the German Academy of Sciences Leopoldina. Labs and Teams: Distributed Systems Group, MPI-SWS imPACT ERC Synergy Project Collaborators include Bobby Bhattacharjee, Deepak Garg, Miguel Castro, Ion Stoica, and others
Prof. Michael Schneider is Universitätsprofessor and Chair of Computational Logistics at RWTH Aachen University since 2016. Previously, he held positions at TU Darmstadt (2013-2016) and earned his doctoral degree from TU Kaiserslautern (2012). His research focuses on logistics optimization, including transportation routing, warehouse management, and metaheuristic methods for solving complex operational challenges. He leads the Global Challenges Lab and serves as communication chair of VeRoLog (EURO's vehicle routing group). Research interests include: quantitative modeling for supply chains, heuristic/exact optimization methods, electric vehicle routing, territory design, and production planning. Notable achievements include the INFORMS Journal on Computing Meritorious Paper Award (2021) and editorial roles in journals like Applied Mathematical Modelling. Publications span topics like vehicle routing with time windows, electric logistics networks, and warehouse automation strategies. His work integrates advanced algorithms with real-world industry applications (e.g., DHL, Picnic). The Computational Logistics group collaborates on projects addressing sustainability, autonomous systems, and modern warehousing challenges. Education: Business Admin & Computer Science (University of Mannheim), PhD (TU Kaiserslautern) Professional Roles: VeRoLog Communication Chair, EURO Working Group Key Projects: Electric vehicle routing optimization, warehouse automation, and sustainable logistics networks
Prof. Dr. Julia Hauer is a Professor of Pediatric and Adolescent Medicine at the Technical University of Munich (TUM), leading the Center for Pediatric and Adolescent Medicine at the München Klinik and Klinikum rechts der Isar. She holds a dual affiliation with the TUM School of Medicine and Health. Her career includes professorships at TU Dresden and Heinrich Heine University Düsseldorf, where she specialized in pediatric hematology/oncology and completed habilitation. She completed her medical studies at Ludwig Maximilian University of Munich, with postdoctoral research at Hôpital Necker in Paris. Her research focuses on genetic predisposition to childhood cancers (especially acute leukemias), environmental influences, and immune modulation for cancer prevention. She investigates new therapeutic strategies and translates scientific findings into clinical practice. Notable awards include the ERC Starting Grant 'PreventALL!' and the German Cancer Aid Excellence Program. Education: MD from LMU Munich, PhD (summa cum laude) in Immunology, Habilitation in Düsseldorf Research Themes: Leukemia genetics, gene therapy, environmental triggers, pediatric oncology Awards: ERC Funding, Leopoldina Scholarship, German Cancer Aid Recognition Prof. Hauer advocates for close collaboration between clinical care and research to rapidly implement new therapies for children. Her work bridges basic science and clinical practice in pediatric oncology and hematology.
Prof. Sudharsanan Nikkil is a Rudolf-Mößbauer Assistant Professor and head of the Behavioral Sciences in Prevention and Care at the TUM School of Medicine and Health, Technical University of Munich. His research focuses on applying behavioral science insights to improve preventive healthcare in low- and middle-income countries, particularly addressing cardiovascular disease prevention and aging societies in Asia and Africa. He holds a BA from UC Berkeley, MPH from Emory University, and MS/PhD from the University of Pennsylvania. Key research areas include: Behavioral determinants of health decisions Interventions to enhance preventive care delivery Health systems strengthening in LMICs Awards: Lehrpreis Beste Vorlesung (2025) Falling Walls Science Breakthrough Finalist (2022) Delta Omega Honor Society (2013) Recent Work Trends: His 2025 studies emphasize randomized trials on hypertension management, health insurance utilization, and the HEARTS initiative for CVD reduction. 2023-2024 work explores machine learning applications in cardiovascular risk prediction and WhatsApp-based interventions for follow-up adherence.
Marco Kuhrmann is a Professor of Agile System Development at the Faculty of Informatics at Reutlingen University. He holds positions including Chair of the Examination Board for the Medical Technology Informatics program. His research focuses on software engineering methodologies, particularly agile development, process improvement, and hybrid methods. He has held academic roles at institutions like the Technical University of Munich, University of Southern Denmark, and the University of Passau. Education: PhD (Dr. rer. nat.) in Computer Science, Technical University of Munich (2008) Habilitation (Dr. rer. nat. habil.), Technical University of Munich (2014) Diploma in Computer Science, University of Potsdam (2004) His research interests include software process improvement, hybrid development approaches combining agile and traditional methods, and software engineering education. He leads projects like ANUKI and contributes to initiatives such as the HELENA survey on hybrid methodologies. His work addresses challenges in regulated domains, global software engineering, and the application of AI techniques in requirements engineering. Publications highlight themes like process transparency, compliance automation, and data augmentation. He is active in academic communities through workshops (e.g., PROFES, ICSSP) and has authored textbooks like Einführung in die Softwaretechnik (Springer, 2021). His teaching emphasizes hands-on experiments, such as simulating distributed teams and process adaptation in stressful scenarios. He collaborates with labs like the Virtual Reality Lab (VRehago) and contributes to research infrastructure like the IPSSE (Goslar) and software process ecosystems. Current projects explore AI-driven requirements evaluation and measurable artifact models in regulated industries.
Prof. Ulrich Scholze holds the Professorship of Weaving Technology at Reutlingen University’s School of Textiles. He serves as Head of the Examination Office for the BEng programs in Textile Technology-Textile Management and Textile Engineering, and acts as BAföG representative for all faculty programs. His teaching focuses on weaving process engineering, machinery, and product development of woven fabrics (clothing, functional, and technical textiles). His research emphasizes practical applications in textile machinery analysis and weaving processes, as evidenced by his publications since 2015. He maintains an active role in academic governance and student support, with consultation hours every Wednesday 11:30-13:00. Prof. Scholze is affiliated with the Weaving Technology Lab at the Texoversum research facility, contributing to interdisciplinary projects in textile innovation and sustainability.
Professor Tatjana Steusloff is currently a Professor of General Business Administration (especially International Marketing) at the Wiesbaden Business School of HSRM since 2021. Previously held roles include Professor of Economics/Visiting Professor of Marketing at Düsseldorf University of Applied Sciences (2016–2020) and lecturer positions at various HAW institutions (2009–2016). Her career combines academic leadership with industry experience in marketing roles at companies like McCain Foods (Senior Brand Manager, 2004–2008) and Unilever Bestfoods (Brand Manager, 2000–2004). Education: Earned a Dr. rer.oek. (Magna Cum Laude) in 2016 from Leipzig Graduate School of Management (HHL), with prior studies at TU Dresden (1996–1998) and a semester abroad in the MBA program at University of Illinois at Urbana-Champaign (1999). Research Focus: Specializes in sustainable consumer behavior, customer-centric brand management, and science communication in marketing. Recent work emphasizes eco-route choice behavior and digital nudging interventions. Has presented at ISMS Marketing Science Conference (2024), EMAC Annual Conference (2023), and KSFE Annual Conference (2023). Teaching: Leads courses in international marketing strategies, strategic marketing, and market entry case studies at both bachelor's and master's levels in International Management programs. Professional Activities: Serves on the advisory board of Marketing Club Mainz-Wiesbaden (since 2025) and as curator for wi3 Consulting e.V. (since 2023). Previously held board positions in academic organizations (2022–2024).
Prof. H.-Hugo Kremer holds the Chair of Business and Vocational Education at Paderborn University's Faculty of Business Administration and Economics. His research focuses on digital transformation in education, vocational training strategies, and media didactics. He leads the Center for Vocational Education and Training (cevet), addressing challenges in VET professionalization. Recent projects include PRACTICE (AI in education), WÖRLD (digital teacher training), and DigiSelF (student self-management in higher education). His teaching portfolio includes courses on international management, digital transformation, and educational program design. Advising external doctoral candidates like Laura Getz and Fabian Ludolph, he collaborates with institutions like the University of Jena and maintains active involvement in mentoring initiatives.
Clara Rosa Cardoso is a Researcher at the University of Siegen's Department of Business Informatics and New Media, contributing to the DCitizens project and advising students in the HCI master's program. She holds a Master's in Digital Media and Society from the University of Bremen, with a thesis on hashtag activism (#ForaBolsonaro). Her research focuses on online political activism, digital media's societal impact, and participatory design in underserved communities. She has supported labs like ZeMKI's Mediatization and Globalization group and Prof. Kannengiesser's media sociology projects. Beyond academia, she tutored media practice lectures and summer camps. She earned a Bachelor's in Communication from Universidade Federal da Bahia and an MBA in Marketing (Brazil). Her work emphasizes resilience in unstable regions (e.g., Palestinian refugee camps) and lessons from design failures in digital civics. She collaborates on projects like Fab Lab Siegen and contributes to HCI conferences like CHI and NordiCHI. Clara's interdisciplinary approach bridges technology, sociology, and community empowerment without formal awards noted to date.
Mechthild Löwenstein is a Professor of Nursing Education at Esslingen University of Applied Sciences since 2016. Doctor of Philosophy in Nursing Science from UMIT Hall i. Tirol Dean of Nursing Education (BA) program Specializes in portfolio-based learning, organizational development, and digital transformation in healthcare education Recipient of the 2014 Stiftung Bildungspakt Bayern innovation award Research Trends: Her recent work focuses on digitalization strategies in nursing education, competency development through portfolios, and pandemic-driven pedagogical adaptations. Scientific Awards: 1. Preis 'Innere Schulentwicklungsinnovationspreis 2014' Professional Contributions: She has pioneered innovative teaching methods, led nursing training centers, and published extensively on educational reform.
Wenguang Chen is a researcher affiliated with Tsinghua University and Pengcheng Laboratory , specializing in computer science and high-performance computing . His work bridges theoretical advancements with practical applications in domain-specific languages , parallel programming , and machine learning . Research Interests include: Development of modular DSLs for numerical methods (e.g., Mat2Stencil) Performance optimization in distributed and parallel systems Compiler frameworks for privacy-preserving AI (e.g., FHE-based neural network inference) Graph algorithms scaling to trillion-edge datasets Applications of Rust in memory-safe pointer analysis Recent Publications span 2014–2025, focusing on: Parallelization strategies for supercomputing Compiler automation tools Extreme-scale data processing Performance variance diagnosis in production environments
Dr. Hakki Arslan serves as a Research Associate at the Dubnow Institute within the Ignaz-Goldziher-Program since July 2024, specializing in comparative Jewish-Muslim legal traditions with emphasis on interreligious marriage and historical legal discourse. His academic background includes: Religious Studies and History studies at Goethe University Frankfurt am Main Doctoral research in Islamic Theology at University of Osnabrück (2011-2015), funded by Konrad Adenauer Foundation Arslan's research investigates authority structures in Jewish and Muslim legal traditions, Ottoman-era interreligious contact zones, and methodological critiques of Islamic law periodization. His work bridges historical analysis with contemporary relevance through comparative frameworks examining legal adaptation in pluralistic societies. Publication trends (2014-2022) reveal sustained focus on Islamic legal hermeneutics, Ottoman legal pluralism, and cross-traditional dialogue, with increasing emphasis on decolonizing historical narratives and contemporary applications of classical jurisprudence. His scientific recognition includes: Konrad Adenauer Foundation Doctoral Fellowship Arslan's research has been sustained through institutional postdoctoral positions at Osnabrück and Münster universities, with current work embedded in the Dubnow Institute's Ignaz-Goldziher-Program examining legal tradition authority in modern contexts.
Juan F. Sequeda is the Principal Scientist and Head of the AI Lab at data.world, with a PhD in Computer Science from the University of Texas at Austin. He co-founded Capsenta, a spin-off from his research on semantic data virtualization. His work bridges academia and industry through roles in the Property Graph Schema Working Group, LDBC Graph Query Languages task force, and W3C standards editing. Education : PhD in Computer Science (2015) from University of Texas at Austin His research focuses on Knowledge Graphs, Semantic Web, and Ontology-Based Data Integration. He develops technologies for graph data management and semantic query processing, with applications in constitutional data analysis (Constitute.org) and enterprise data virtualization (Ultrawrap, Gra.fo, G-CORE). Recent publications analyze composable graph query languages (G-CORE, 2018) and optimize SPARQL execution on relational data (Ultrawrap, 2013). Awards include NSF Graduate Fellowship (2010-2013), ISWC2014 Best Student Paper, and 2015 Institute for Applied Informatics Best Transfer Project. Scientific Awards : NSF Graduate Research Fellowship (2010-2013) 2nd Place, 2013 Semantic Web Challenge Best Student Research Paper, ISWC2014 2015 Best Transfer and Innovation Project (Institute for Applied Informatics) UT Graduate Diversity Fellowship (2008-2009) National Instruments Scholarship (2007-2008) Intel Foundation Fellowship (2007) He actively contributes to program committees (ISWC, ESWC, WWW) and workshop organization (COLD, AMW2018 General Chair). Contact: juan@data.world (work), juanfederico@gmail.com (personal).
Anke Hoffmann is a Researcher at the Museum of Natural History, Leibniz Institute for Evolution and Biodiversity Research in Berlin. She currently serves as Project Officer for Collection Cataloguing and Development in the Future Plan, coordinating research clusters and leading international projects like the 'Diversity and ecosystem function of small mammals in the Lower Oder Valley National Park.' Education: PhD in Zoology (Technical University of Braunschweig, 1999), Biology (Technical University of Braunschweig, 1994) Key Roles: EU BON Project Coordinator (2012-2017), EDIT Project Coordinator (2008-2011), Master's Program Coordinator in Namibia (2001-2008) Hoffmann's research focuses on population ecology of small mammals in the Lower Oder Valley National Park and biodiversity patterns in African arid and rainforest ecosystems . Her work bridges field research, biodiversity informatics, and policy frameworks. Publications reflect expertise in ecological monitoring , cybertaxonomy , and data policy for biodiversity. Recent projects emphasize digital transformation in museums and integrated biodiversity observation systems. She has contributed to international collaborations, including EU-funded initiatives (EU BON, EDIT) and global museum research summits. Hoffmann's career spans roles at the Botanical Garden & Museum of the Free University Berlin and the Institute for Wildlife Research at the University of Veterinary Medicine Hannover.
