Niels-Fabian Baur is a Researcher at the University of Hildesheim , affiliated with the Department of Business Administration and Operations Research under the Institute of Business Administration and Business Information Systems. His work focuses on Operations Research , Disaster Response Management , and Resource Allocation . Research Interests: Baur specializes in optimization techniques for project scheduling in disaster scenarios, addressing challenges like scarce resources and multi-skilled workforce deployment. His research integrates Sustainability and Logistics in urban planning contexts, particularly in last-mile delivery systems . He applies heuristic algorithms and scenario-based planning to improve emergency operations. Article Trends: His publications emphasize resource-constrained project scheduling , disaster recovery logistics , and sustainability in urban planning . Key areas include multi-skilled workforce management , emergency staffing , and algorithm design for crisis scenarios .
Susanne Schwickert is a Professor and Deputy Director at the Institute Future Energy (iFE) at the OWL University of Applied Sciences and Arts . She leads building physics research at the Detmold School of Architecture and Interior Design and focuses on comfort research, energy monitoring, and sustainable building practices. Her work spans thermal comfort, acoustics, and energy-optimized construction. Doctorate in civil engineering (2001, TU Darmstadt) Masters in civil engineering (1996, TU Braunschweig) Research Trends : Her publications from 2013-2019 emphasize energy efficiency , acoustic optimization , and thermal comfort analysis in educational, office, and historical buildings. Articles explore insulation materials, ventilation strategies, and acoustic standards for modern environments. Scientific Recognition : She earned a Doctorate with distinction at TU Darmstadt Advising & Projects : Supervised Diana Wiedemann's PhD on historic building energy upgrades. Leads the ConstructionLab research focus and projects like Future Energy and EnOB Monitoring for energy-optimized schools.
Jan-Niklas Koch serves as a Researcher at the Institute for Energy Research (iFE) of the OWL University of Applied Sciences and Arts (TH OWL), actively contributing to the DC-Schiene project on energy-efficient DC conductor systems for industrial applications including storage/retrieval machines, cranes, and monorail systems. He concurrently holds shareholder status at Innelekt GmbH since 2021. His academic credentials include: Bachelor of Electrical Engineering / Automation Technology (2013, TH OWL) Master of Electrical Engineering (2018, TH OWL) Research centers on Power Electronics and DC Networks , with specialized expertise in silicon carbide-based AC/DC and DC/DC converters, model-based component dimensioning, and switching technology. His work targets industrial energy efficiency through advanced DC power solutions, emphasizing reliability and performance optimization in real-world applications. Publications reveal consistent focus on power quality challenges: the 2022 study analyzes capacitor lifetime in open DC grids, while the 2014 work develops numerical methods for harmonic distortion in nonlinear loads. These contributions advance industrial DC system stability and efficiency, bridging theoretical modeling with practical implementation. Mr. Koch participates in multiple grant-funded projects including DC-Schiene (2023-2026), effiDCent (2019-2022), and Smart CHP (2013-2016), collaborating with industry partners under the Federal Ministry for Economic Affairs and Energy frameworks. His laboratory work operates within the Power Electronics and Electrical Drives working group at iFE's Lemgo campus (Building 55, Room 55.105).
Stefan Witte is a professor at the Technische Hochschule Ostwestfalen-Lippe (TH OWL), specializing in Digital Communication Systems . He is affiliated with the Institute for Industrial Information Technology (inIT) , focusing on research areas such as industrial automation, sensor networks, real-time data transmission, and railway communication systems. Prof. Witte’s work emphasizes wireless technologies in industrial contexts. He contributes to EU-wide standardization efforts in rail freight transportation. His recent publications highlight advancements in sensor systems for automatic train operation (ATO), two-wire Ethernet solutions, and Industry 4.0 applications. Research trends include optimizing communication protocols for harsh environments and integrating wireless systems into industrial infrastructure. Notably, he chairs organizations like the Innovation Campus Lemgo and Rail Campus OWL , driving regional and sectoral innovation initiatives.
Prof. Dr. Martin Gersch is a faculty member at the Department of Information Systems, School of Business & Economics, Freie Universität Berlin. His research spans digital transformation, business process management, service engineering, and e-health, with a focus on institutional logics and technology-driven change. He has secured significant external funding, including the Einstein Center Digital Future (ECDF) and Junior Professorships in Digital Transformation. Appointed to habilitation at Ruhr University Bochum (2006) Founded Competence Center E-Commerce at Ruhr University Bochum (2000) Visiting Professorial Fellow at University of Sydney, UNSW, and QUT (2012) His research explores digital transformation , ICT in integrated care , business model innovation , and entrepreneurial hubris . Recent work includes agent-based simulations for healthcare information sharing, API management in digital service systems, and institutional tensions in health data spaces. Key trends in his publications include health informatics , service blueprinting , and digital education . He has contributed to entrepreneurship education and blended learning frameworks , with a focus on medical device education and cross-sector collaboration.
Dr. Mor Kaspi is a Senior Lecturer and heads the Analytics for Urban Transportation & Operations Laboratory in the Department of Industrial Engineering at Tel Aviv University, within the Iby and Aladar Fleischman Faculty of Engineering. He earned his B.Sc., M.Sc., and Ph.D. in Industrial Engineering from Tel Aviv University and completed a two-year postdoctoral fellowship at the Urban Transport Systems Laboratory (LUTS) at École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: Urban Transportation and Logistics Operations Research Combinatorial Optimization Heuristics Innovative Public Transit Autonomous Vehicle-Based On-Demand Transportation Mor Kaspi has published in leading journals such as Operations Research Letters , Transportation Science , and European Journal of Operational Research , with a focus on vehicle sharing systems, public transit optimization, and combinatorial optimization. His work explores parking reservation policies, unusable bicycle detection, and service-oriented line planning for passenger trains. Labs and Teams: Head, Analytics for Urban Transportation & Operations Laboratory
Kun Qin is a Doctoral Candidate and Research Associate at the Technical University of Munich , affiliated with the IH02 Chair of Computer Architecture and Operating Systems (CAOS) and the I10 Chair of Computer Architecture and Parallel Systems (CAPS). His work focuses on Hardware/Software Codesign , RISC-V Architecture , and Quantum Computing . Current affiliation: Department of Computer Engineering, School of Computation, Information and Technology Research areas: FPGA/ASIC design, quantum-based systems, open-source hardware Teaching: Courses on HDL, Computer Architecture, and Operating Systems (WS23/24–WS24/25) Kun actively participates in academic service as Web Co-Chair for the ACM International Conference on Computing Frontiers (CF'24, CF'25). His research includes FPGA acceleration for RTL verification and quantum control processors. Key scientific achievement: Best Poster Award at SERESSA (2023) . Publications span topics like RISC-V verification frameworks, FPGA-based timing systems, and quantum control processors for superconducting qubits.
Alexander Hepp serves as a Lecturer at the Chair of Security in Information Technology, Technical University of Munich (TUM), where he contributes to both teaching and cutting-edge hardware security research. His current teaching responsibilities include C++ Lab, Embedded Systems and Security, and Strategic Management for Engineers, where he acts as primary lecturer for the latter course. His research centers on hardware trojan design/identification and netlist reverse engineering within the chair's broader security initiatives. His research portfolio demonstrates deep specialization in hardware security vulnerabilities, with emphasis on hardware trojan insertion/detection methodologies and reverse engineering countermeasures. Recent work explores neuro engineering applications and RISC-V-based security implementations, often leveraging open-source hardware frameworks. His publications reveal consistent innovation in hardware obfuscation techniques and netlist analysis tools, addressing critical gaps in pre-silicon security validation. His 12 publications from 2021-2024 show strong focus on hardware security conferences like DATE and DDECS, with recurring themes in trojan detection, reverse engineering challenges, and cryptographic hardware validation. The research trajectory indicates growing emphasis on practical countermeasures against physical attacks and standardized vulnerability assessment frameworks. Scientific Awards: Best Paper Award at DDECS 2022 for 'Hardware Obfuscation of Digital FIR Filters' No verifiable information exists regarding student advising or grant funding in available sources. He operates within Prof. Sigl's research ecosystem which actively pursues projects in fault attacks, IoT security, physical unclonable functions, and post-quantum cryptography implementations, with recent work emphasizing hardware reverse engineering challenges in advanced semiconductor designs.
Professor Malka Gorfine Orgad is a distinguished faculty member in the Department of Statistics and Operations Research at the School of Mathematical Sciences, Tel Aviv University. She has held the position of Professor since 2016, following her promotion from Associate Professor (2014-2016). Additionally, she maintains a long-standing affiliation as an Affiliate Investigator at the Division of Public Health Sciences, Fred Hutchinson Cancer Research Center in Seattle since 2003. Prof. Gorfine Orgad earned her MA (1994) and PhD (1999) in Statistics from the Hebrew University of Jerusalem under the supervision of Professors Banjamin Yakir and David Zucker. Her academic journey includes previous appointments as Associate Professor at Harvard School of Public Health (2011-2012) and at the Technion - Israel Institute of Technology (2010-2014), where she served as Senior Lecturer prior to that. Her research focuses on survival data analysis, non-parametric statistics, biostatistics, and machine learning. Specifically, she investigates inference based on Survival Deep Learning, natural experiment methods for causal inference, and various challenges of causal inference with survival outcomes. She has developed several innovative methodologies for survival analysis, particularly in the areas of competing risks, semi-competing risks, and illness-death models. Analysis of her recent publications reveals a strong emphasis on practical applications of survival analysis methodology to real-world health problems, particularly related to cancer and infectious diseases like COVID-19. Her work frequently bridges theoretical statistical development with practical implementation through software packages, demonstrating her commitment to making advanced methods accessible to applied researchers. Associate Editor of JASA Applications and Case Studies (2022 - present) Associate Editor of EJS (2022 - present) Associate Editor of Scandinavian Journal of Statistics (2021 - 2024) Co-Editor of Biometrics (2017 - 2019) Associate Editor of Biometrics (2009 - 2016) Member of Editorial Board of Lifetime Data Analysis (2013 - 2016) Prof. Gorfine Orgad actively mentors students at all levels, currently supervising one postdoc, two PhD students, and four MSc students, with numerous former students who have completed their degrees under her guidance. She serves as co-chair of the STRATOS TG8 (Survival Analysis Topic Group), which provides guidance on survival analysis methods for observational studies. She has also developed multiple software packages including PyMSM, PyDTS, frailty-LTRC, HHG, and others that implement her methodological contributions for the broader research community.
Dr. Hussam Al Daas is a Postdoctoral Research Fellow at the Max Planck Institute for Dynamics of Complex Technical Systems since January 2019, specializing in numerical algorithms for large-scale scientific computing. His work bridges theoretical numerical analysis and high-performance implementation. Education: PhD in Applied Mathematics, Inria-Paris and Sorbonne University (2015-2018), funded by TOTAL Master in Fundamental and Applied Mathematics, Paris-Sud University (2012-2014) His research centers on developing communication-avoiding algorithms for sparse linear systems and tensor computations, with emphasis on robust preconditioners (algebraic two-level Schwarz, domain decomposition), Krylov subspace methods, and low-rank approximations. He addresses critical challenges in parallel scalability through rigorous complexity analysis and memory-efficient implementations, particularly for distributed-memory architectures. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Algebraic multilevel preconditioners achieving robustness for ill-conditioned sparse systems, (2) Theoretical communication lower bounds with optimal algorithm design for tensor/matrix operations, and (3) Novel extensions of Krylov methods for sequences of shifted systems and tensor train decompositions. These contributions target reservoir simulation, PDE-constrained optimization, and high-dimensional data problems. Funded by TOTAL during his PhD and currently by the Max Planck Society, his work shows no evidence of student advisement or external grant leadership. He contributes to the Computational Methods in Systems and Control Theory group, focusing on scalable solvers for complex dynamical systems through collaborative software development and algorithmic innovation.
Professor Jürgen Seibel holds a Chair in Organic Chemistry at the University of Würzburg, where he leads the Seibel Group within the Institute of Organic Chemistry in the Faculty of Chemistry and Pharmacy. His research spans multiple interdisciplinary fields at the intersection of chemistry and biology, with particular focus on sphingolipid metabolism, glycobiology, and enzyme engineering. He maintains active collaborations both within Germany and internationally, including organizing the 2023 Indo-German Workshop on Enabling Methodologies for Rational Design of Complex Systems. Professor Seibel's research program focuses on developing chemical tools to investigate biological processes, particularly in the areas of sphingolipid biology and glycobiology. His work combines synthetic organic chemistry with biochemical and cell biological approaches to create novel probes for studying lipid metabolism, membrane dynamics, and host-pathogen interactions. A significant portion of his recent work has addressed the role of sphingolipids in viral infections, particularly SARS-CoV-2, exploring how ceramide metabolism influences viral replication and identifying potential therapeutic targets. Analysis of Professor Seibel's recent publications reveals a strong trend toward interdisciplinary research that bridges chemical synthesis with biological applications. His work consistently focuses on developing bioorthogonal chemical tools (particularly click chemistry approaches) for studying sphingolipid dynamics in living cells. Several publications demonstrate how these tools can be applied to understand viral infection mechanisms, with multiple papers on SARS-CoV-2 host factors appearing since 2022. His research also shows significant contributions to enzyme engineering, particularly in modifying glycosyltransferases for specific synthetic applications. Professor Seibel has secured substantial research funding, including participation in multiple collaborative projects such as GRK 2581, FOR2123, SFB TRR225, and FP7 SuSy. He successfully organized the Indo-German Workshop in 2023, which was funded by the Indo-German Science and Technology Centre (IGSTC) and the Universitätsbund Würzburg e.V. His group appears to be actively mentoring students and postdoctoral researchers, as indicated by the 'Members' and 'Alumni' sections of his group website, with numerous collaborative publications involving junior researchers as first authors. The Seibel Group operates as an interdisciplinary research team combining expertise in organic synthesis, chemical biology, and cell biology. The group maintains strong connections with other research units at the University of Würzburg, particularly with groups working on infection biology, immunology, and pharmaceutical sciences. Their research infrastructure appears to include capabilities for organic synthesis, cell culture, fluorescence microscopy (including super-resolution techniques), and biochemical analysis, enabling their multidisciplinary approach to studying lipid biology and developing chemical tools.
Dr. Agnes Steinert serves as Deputy Head of the Institute of Flight System Dynamics at the Technical University of Munich (TUM), where she holds the rank of Professor. Her work centers on advancing aerospace control systems through theoretical innovation and practical implementation in flight vehicles. Her research spans Flight Control, Flight Guidance, Nonlinear and Adaptive Control, Trajectory Optimization, Navigation Systems, and Flight Safety. She pioneers Incremental Nonlinear Dynamic Inversion (INDI) methodologies for robust aircraft control, with recent focus on electric vertical take-off and landing (eVTOL) systems, trajectory generation under dynamic constraints, and sensor-actuator synchronization challenges. Analysis of her 15 most recent publications (2022-2025) reveals a consistent trajectory toward safety-critical autonomous flight systems. Key themes include real-time trajectory optimization for eVTOLs, stability analysis of nonlinear controllers with actuator dynamics, and robustness enhancement through multiobjective parameter tuning—bridging theoretical control frameworks with aerospace operational requirements. No scientific awards were documented in the provided materials. Dr. Steinert actively mentors graduate researchers, having supervised over 20 theses covering airship/hydrofoil control, flight envelope protection, and adaptive controller design. Her leadership extends to experimental validation through TUM's flight test infrastructure, including collaborations on electric aircraft autonomy projects. The Institute of Flight System Dynamics maintains comprehensive research facilities including manned/unmanned aircraft, flight simulators, and GNC subsystems. Current infrastructure supports experimental work on trajectory optimization, sensor fusion, and safety-critical flight control validation for next-generation aviation systems.
Dr. Moritz Malischewski serves as a Junior Research Group Leader in the Department of Chemistry at the Faculty of Biology, Chemistry and Pharmacy, Free University of Berlin, where he leads the Malischewski Group focused on advancing inorganic and organometallic frontiers. His research spans Inorganic Chemistry , Organometallic Chemistry , Coordination Chemistry , Superacid Chemistry , Crystallography , and Oxidation Chemistry , with emphasis on synthesizing novel metal complexes using perfluorinated ligands to access extreme oxidation states and stimuli-responsive behavior. Key investigations include superacid-mediated generation of reactive intermediates, structural characterization via X-ray diffraction, and exploration of photo/thermal switching in metallocene systems. Analysis of his 2024-2025 publications reveals dominant themes in perfluorinated Cp* chemistry enabling unprecedented ferrocenium superoxidizers, reversible ligand coordination switches, and high-valent iron/osmium complexes. These works consistently integrate crystallographic validation with redox and magnetic property studies, targeting applications in molecular electronics and spintronics through multifunctional heterometallic architectures. As a Junior Research Group Leader, Dr. Malischewski directs independent research operations including grant acquisition, laboratory management, and graduate student mentorship within FU Berlin's Inorganic Chemistry division, maintaining active collaboration through his university contact channels.
Dominik Bentler is a researcher at the Research Institute for Cognition and Robotics and affiliated with the Faculty of Psychology and Sport Science at Bielefeld University . His work spans Artificial Intelligence applications in personnel planning , sustainable organizational behavior , and human-computer interaction . Email: dominik.bentler@uni-bielefeld.de Contact: Phone +49 521 106-4510, Office UHG N4-122 Research Interests include: Human-centered AI systems in organizational contexts Employee green behavior and sustainability strategies Augmented reality applications for workplace learning Behavioral analysis of unethical competition ("Winning Ugly") Technology acceptance models (TAM) with user experience factors Design of socio-technical systems in Industry 4.0 environments Recent Publications demonstrate expertise in: Intelligent scheduling systems Green leadership dynamics Augmented reality training solutions Workplace environmental behavior Human-AI collaboration models Change management in technology implementation Key Collaborations involve interdisciplinary projects with Bielefeld University's research centers including: CITEC (Cognitive Interaction Technology) CoR-Lab (Cognition and Robotics) ZiF (Center for Interdisciplinary Research)
Rebekka Benfer, M.Eng., is a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building (Prof. Lang) at the Technical University of Munich . Her work focuses on energy and systems monitoring, data-driven optimization of building operations, and semantic digital twin development for building systems. She actively contributes to research at the intersection of building automation, Industry 4.0, and sustainable design. Education : Master of Engineering in Green Building Engineering (2021-2024) and Bachelor of Engineering in Energy and Building Services Engineering (2017-2021) from Cologne University of Applied Sciences. Professional Background : Previously worked as a Research Fellow at the Laboratory for Building Automation and Control Systems (2021-2024) and as a Working Student in Building Automation at ZWP Ingenieur-AG (2020-2021). Her recent publications emphasize semantic interoperability, knowledge graph integration, and automated testing of building automation systems. Current activities center on advancing data-driven building optimization and creating intelligent building representations through digital twins.
