جست‌وجوی استاد و پژوهشگر

Martin Neugebauerمشاهده پروفایل

استادیار

• Educational Inequality
• Higher Education Research
• Social Stratification
• +۳ مورد دیگر

Martin Neugebauer serves as Assistant Professor for Empirical Educational and Higher Education Research at the Faculty of Education and Psychology, Free University of Berlin, a position he has held since October 2015. His scholarly work centers on systemic inequalities in educational systems, with particular emphasis on social stratification mechanisms and policy impacts across European contexts. His academic credentials include: Doctor of Social Sciences (summa cum laude), University of Mannheim (2013) Diploma in Social Sciences (Sociology, Quantitative Research Methods, Social Psychology), University of Mannheim (2008) Studies Abroad, Department of Sociology, University of Toronto (2005-2006) High School Graduation (Abitur), Gymnasium Herkenrath, Bergisch Gladbach (2001) Neugebauer's research interrogates educational inequality through multiple lenses: social origin disparities in higher education access, gender dynamics in teacher-student interactions, and migration-related barriers in educational systems. His innovative application of quantitative methodologies to large-scale datasets has revealed how structural reforms like the Bologna Process exacerbate social stratification rather than promote inclusion. Current investigations focus on teacher recruitment patterns and the causal mechanisms linking educator demographics to student outcomes. His publication trajectory demonstrates consistent engagement with educational policy reform , particularly analyzing how degree restructuring affects disadvantaged student populations. Key thematic clusters include tertiary education stratification, teacher labor market dynamics, and migration-education intersections, all approached through rigorous longitudinal and pseudo-panel methodologies that uncover hidden systemic biases. His scholarly excellence has been recognized through prestigious awards: Bojanovsky-Preis for outstanding dissertation in Empirical Models of Social Processes (2014) Centro Stefano Franscini Award for Best Contribution (2010) At the institutional level, Neugebauer actively shapes educational discourse through advanced seminars on Quantitative Research Methods and Sociology of Education. His teaching directly translates research insights into methodological training, emphasizing empirical approaches to understanding educational inequality. While specific grant details remain undocumented in public sources, his extensive conference participation—including presentations at Oxford, Stanford, and ISA World Congresses—demonstrates significant scholarly engagement across transnational research networks.

Focko Higgenمشاهده پروفایل

پزشک-پژوهشگر

• Neurology
• Neuroscience
• Stroke Research
• +۳ مورد دیگر

Focko Higgen is a physician-scientist affiliated with the Department of Neurology at the University of Hamburg's University Medical Center Hamburg-Eppendorf (UKE) , operating within the Head and Neurocenter division. His research focuses on neurology, neuroscience, and stroke-related investigations using advanced imaging and physiological monitoring techniques. Research Interests: Neurology, Neuroscience, Stroke, Brain Imaging, Functional Connectivity, Cognitive Neuroscience Key Research Themes: Structural and functional brain connectivity in stroke recovery, age-related microstructural changes in white matter, crossmodal sensory integration, and neurophysiological monitoring during anesthesia. His work spans both clinical and experimental approaches, including animal models and human neuroimaging studies. Collaborations: His publications indicate active collaboration with multidisciplinary teams across neurology, cardiology, and computational neuroscience domains.

Reinhold Häb-Umbachمشاهده پروفایل

استاد

• Statistical Signal Processing
• Machine Learning
• Speech Processing
• +۷ مورد دیگر

Reinhold Häb-Umbach is a distinguished Professor in the Communications Engineering Department at the University of Paderborn, leading the Heinz Nixdorf Institute's Speech and Communications group. His work spans statistical signal processing and machine learning for speech and audio applications , with a focus on robustness and real-world deployment. His research integrates probabilistic models with deep learning , addressing challenges in speech separation , noise suppression , and acoustic distance estimation . Recent projects include WestAI , SAIL , and TRR 318 , emphasizing AI-driven solutions for sociotechnical systems. 2020: IEEE Fellow 2015: ISCA Fellow 2021-2023: ISCA Distinguished Lecturer Over 300 peer-reviewed publications He has received multiple best student paper awards at venues like IWAENC , Interspeech , and ASRU , and has contributed to 15 competitive DFG grants . His leadership roles include Technical Program Committee Chair for Interspeech 2024 and editorial roles in IEEE journals.

• Super-resolution Microscopy
• Structured Illumination Microscopy
• Biomedical Imaging
• +۳ مورد دیگر

PD Dr. Marcel Müller is a Senior Lecturer in the Faculty of Physics at Bielefeld University , affiliated with the AG Biomolekulare Photonik (Biomolecular Photonics Research Group). His academic work focuses on advanced optical imaging technologies and their applications in biomedical research. University: Bielefeld University College: Faculty of Physics Research Group: AG Biomolekulare Photonik Academic Rank: Senior Lecturer Dr. Müller's research explores cutting-edge developments in super-resolution microscopy , particularly through structured illumination microscopy (SIM) and optical fluctuation imaging . His recent work addresses challenges in improving spatial resolution , image denoising using machine learning, and cost-effective imaging solutions for live cell analysis. He specializes in optimizing camera technologies and real-time reconstruction algorithms to enhance microscopy capabilities. The 15 most recent publications highlight his contributions to optical nanoscopy , with particular emphasis on structured illumination , deep learning denoising , multiplane imaging , and noise-controlled reconstructions . His work spans from hardware development (e.g., image-splitting prisms , DMD devices ) to software innovations (e.g., real-time reconstruction algorithms ), all aimed at making super-resolution microscopy more accessible and efficient for biological applications. Key Research Areas: Structured Illumination Microscopy (SIM) Super-resolution Optical Imaging Deep Learning for Image Denoising Cost-effective Microscopy Systems Live Cell Imaging Camera Technology Optimization Dr. Müller's laboratory, the AG Biomolekulare Photonik , develops innovative optical imaging tools that bridge physics and biology. His team focuses on modular microscope designs and open-source reconstruction frameworks to democratize access to advanced microscopy techniques. Current projects include optimizing video-rate imaging and exploring nonfluorescent nanoparticle probes for cellular dynamics studies.

Stefan Kuhlinsمشاهده پروفایل

استاد

• Business Informatics
• Information Technology
• E-commerce
• +۶ مورد دیگر

Prof. Dr. Stefan Kuhlins is a Professor of Business Informatics at Heilbronn University's Faculty of Economics. He specializes in Business Engineering Logistics and previously worked at the universities of Mannheim and Regensburg. His research focuses on E-commerce, XML technologies, and enterprise software integration. He also operates as a freelance business information technology specialist. Current: Professor at Heilbronn University (Faculty of Economics) Previous: University of Mannheim, University of Regensburg Specialization: Business Engineering Logistics (formerly Technical Logistics Management) Freelance: E-commerce and software projects Education : Graduate in Business Information Technology Research Interests : His work spans business informatics, information technology, and programming with particular emphasis on database systems, XML standards, and Robotic Process Automation (RPA). He has developed frameworks for enterprise application integration and explored wireless usability metrics through Java software agents. His publications reflect a strong focus on E-commerce systems, XML schema design, and software development methodologies. Publications Trends : His scholarly output from 1993-2018 covers XML technologies, Java applications in enterprise systems, simulation modeling for logistics, and web service integration. The articles demonstrate consistent engagement with software engineering challenges in E-commerce and enterprise contexts. Technical Leadership : Since 2014, he has served as Head of the Internship Office for Business Engineering Logistics (BEL) and Technical Logistics Management (TLM) programs at Heilbronn University. This administrative role complements his technical expertise in systems design. Programming Expertise : With deep knowledge of C++ standard libraries and Java technologies, he has contributed to areas like garbage collection, CORBA optimization, and multithreaded frameworks. His technical work spans from core programming challenges to enterprise-scale integration solutions.

Christian Drummمشاهده پروفایل

استاد

• Business Information Systems
• SAP Systems
• Enterprise Resource Planning
• +۳ مورد دیگر

Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.

Maik Thieleمشاهده پروفایل

استاد

• Database Systems
• Data Engineering
• Big Data Analytics
• +۴ مورد دیگر

Prof. Dr.-Ing. Maik Thiele is a Professor at the Faculty of Computer Science and Mathematics , Dresden University of Applied Sciences. He leads the Professorship for Database Systems , focusing on advanced database technologies, big data platforms, and data engineering. Academic Leadership: Dean of Master's program in Applied Computer Science (since 2021), elected member of Faculty Council (since 2024) Research: Data analysis along the data value chain from acquisition to AI-driven processing, with emphasis on Active Learning , Transformer Models , and Mathematical Information Retrieval Applied Projects: Director of Dresden Database Forum , member of Digital Transformation Development Workshop (EDiT) His recent work analyzes Active Learning strategies for biomedical image classification and synthetic data, develops time series matching techniques , and explores ethical AI evaluation for e-commerce chatbots. He supervises student theses on topics ranging from PDF data extraction to Smart Grid monitoring and Speech-to-Text optimization . Professor Thiele serves on program committees for leading conferences including ADBIS , DAWAK , and DOLAP , and contributes to journals like Transactions on Knowledge and Data Engineering and International Journal on Very Large Data Bases .

• Educational Science
• Social Participation
• School Inclusion
• +۴ مورد دیگر

Prof. Dr. Saskia Bender holds a W3 professorship in Educational Science with a focus on social participation, school inclusion and counseling at the Faculty of Education, University of Bielefeld. She also serves as Dean of the Faculty of Education and participates in multiple university committees including the Faculty Conference (FaKo) and Structure, Budget, Personnel Committee (StruKo). Her work extends to the Institute for Interdisciplinary Conflict and Violence Research and the Bielefeld School of Education (BiSEd). Dr. Bender's research focuses on social participation in the context of integration challenges of modern societies , reconstructive school, teaching and inclusion research , reconstructive professional and counseling research , educational casuistry and casuistry in teacher training , and cultural education and cultural school development . Her work critically examines inclusion-exclusion dynamics, power structures in educational settings, and the implementation of inclusive practices in schools. Analysis of her recent publications reveals a strong emphasis on the paradoxes of inclusion, where practices intended to promote inclusion often create new forms of exclusion. Her research employs reconstructive methodologies to uncover hidden mechanisms in educational settings, particularly focusing on counseling practices, teacher training, and cultural education in rural contexts. She examines how ambiguity is managed in cooperative educational settings and how social participation is negotiated in contemporary schools. Dr. Bender has served as project leader for 'Matching Relationships of Cultural Education Networks and Culture(s) in Rural Areas in the Context of Social Participation (PaKKT)' and has been instrumental in developing approaches to cultural education in non-urban settings. Her work consistently bridges theoretical frameworks with practical educational applications.

• Neurosurgery
• Neurocritical Care
• Machine Learning in Medical Prognostics
• +۳ مورد دیگر

Jennifer Sauvigny is a Physician Scientist at the Department of Neurosurgery , Universitätsklinikum Hamburg-Eppendorf, affiliated with the Medical Faculty of the University of Hamburg. Her work bridges clinical neurosurgery, medical technology evaluation, and neurocritical care research, with a focus on improving outcomes for patients with complex neurological conditions. Key research areas include neurocritical care analytics, brain tumor classification, cerebrovascular surgery, and digital microscopy applications in neurosurgical workflows. She has developed machine learning models for predicting shunt dependency and intracranial hypertension using intensive care unit data. Her publications emphasize technical innovations (e.g., 3D4K exoscope systems) and clinical challenges in subarachnoid hemorrhage, glioblastoma treatment, and postoperative bone resorption. Recent articles demonstrate expertise in machine learning integration for neurological outcome prediction and DNA methylation-based tumor classification . Collaborations span neurosurgery, radiology, and critical care medicine across multiple institutions.

• Entomology
• Molecular Biology
• Genetics
• +۳ مورد دیگر

Frank W. Avila is a Researcher at the University of Antioquia (Medellín, Colombia) since July 15, 2016, focusing on mosquito reproductive biology and vector control. His research integrates molecular genetics, microbiology, and entomology to study Aedes and Anopheles mosquitoes. His work examines: seminal fluid proteins and their physiological impacts Wolbachia symbiont effects on vector behavior microbiota dynamics in reproductive tracts age-related fertility changes acoustic communication in mating transcriptomic responses to mating and blood-feeding Recent publications (2025-2020) reveal trends in: mosquito reproductive physiology microbiome-vector interactions Wolbachia-based control strategies post-mating behavior genetics non-invasive age-grading technologies sperm storage/degradation mechanisms Peer review activities include journals like Communications Biology , Journal of Insect Physiology , and PLOS Genetics .

Dominik Sibbingمشاهده پروفایل

پژوهشگر

• Computer Vision
• 3D Reconstruction
• Image Synthesis
• +۳ مورد دیگر

Dr. Dominik Sibbing is affiliated with the Department of Computer Science at RWTH Aachen University , Germany. His research focuses on 3D reconstruction , computer vision , and medical imaging . Developed markerless 3D face tracking systems using deformation models and smoothness priors Created volume-based fiber tracking techniques for diffusion MRI data Contributed to quad meshing methods for vascular structures Proposed SIFT-realistic rendering for laser-scanned point clouds His work combines statistical modeling with interactive GPU-based visualization . Notable award: VMV 2015 Honorable Mention . Collaborated with Leif Kobbelt and others on applications spanning facial animation, medical imaging, and physics-based simulations. Scientific Awards: VMV 2015 Honorable Mention Key Collaborations: Leif Kobbelt (RWTH Aachen) Martin Habbecke Robin Tomcin

Stefan Canzarمشاهده پروفایل

استاد پژوهشی

• Computational Biology
• Bioinformatics
• Transcriptomics
• +۴ مورد دیگر

Dr. Stefan Canzar leads the Algorithmic Bioinformatics research group at Ludwig-Maximilians-Universität München's Gene Center since 2016, where he develops computational methods for genomic data analysis. His lab focuses on reconstructing biological patterns from fragmented sequencing data using combinatorial optimization and machine learning techniques. Research interests span: Transcriptome reconstruction through methods like CIDANE and Ladder-seq that improve RNA-seq accuracy Single-cell genomics including Sphetcher for cellular heterogeneity analysis and multimodal integration Algorithm engineering for high-dimensional biological data processing Combinatorial optimization applied to omics data integration and network analysis Canzar's publications demonstrate consistent focus on developing scalable algorithms for genomic data challenges, particularly in RNA reconstruction, single-cell analysis, and multimodal integration. His recent work emphasizes dimensionality reduction techniques and transcriptome quantification improvements. Currently funded projects include BAYHOST and DFG collaborative research center LETSIMMUN. As group leader, he mentors doctoral researchers including Alice Descoeudres and Shuang Li. The Canzar Lab develops open-source software tools that have contributed to discoveries in neural development, leukemia research, and immune system regulation through collaborations with medical institutions.

• Theoretical Computer Science
• Database Theory
• Formal Logic
• +۵ مورد دیگر

Nicole Schweikardt is a Professor at the Institute of Computer Science within Humboldt University of Berlin . Her research focuses on Theoretical Computer Science , particularly in Database Theory , Formal Logic , and Algorithmic Meta-Theorems . Academic Rank: Professor Contact: schweikn@informatik.hu-berlin.de Research Interests : Nicole investigates logical characterizations of database query languages, algorithmic meta-theorems for sparse graphs, and efficient enumeration techniques. Her work bridges formal logic, computational complexity, and practical database systems. Scientific Awards : 2018 ACM PODS Alberto O. Mendelzon Test-of-Time Award Recent Article Trends : Nicole's recent publications emphasize schema matching , spanner evaluation , first-order logic extensions , and query enumeration . Her work spans theoretical foundations (e.g., counting quantifiers, Hanf normal forms) and practical applications (e.g., event stream analysis, document compression).

Arno Dentelمشاهده پروفایل

استاد

• Renewable Energy Systems
• Building Energy Management
• Thermal Engineering
• +۵ مورد دیگر

Prof. Arno Dentel is a Professor at Technische Hochschule Nürnberg, specializing in building energy systems, renewable energy integration, and predictive control strategies. His work focuses on optimizing heat pump systems, thermal energy storage, and HVAC efficiency through advanced control algorithms like Model Predictive Control (MPC). He has collaborated on projects such as SENSIBLE, exploring multi-scale energy storage solutions for grids, communities, and buildings. Research interests include: Photovoltaic (PV) integration into building facades Thermal mass activation for energy storage Experimental validation of simulation models using Hardware-in-the-Loop setups Weather forecast-driven control for heating systems Recent work highlights ventilation strategies in classrooms, MPC implementation for heat pumps, and long-term monitoring of building energy performance. He has published extensively on thermal comfort, phase change materials (PCMs), and building simulation tools like TRNSYS (Type 399). No scientific awards explicitly listed in provided texts. Advising activity details are not included in available information. His research contributes to decarbonizing building systems through smart energy management and renewable integration.

Hauke Buschمشاهده پروفایل

استاد

• Systems Biology
• Autoimmune Diseases
• Molecular Biology
• +۳ مورد دیگر

Prof. Hauke Busch serves as the Director of the Institute of Experimental Dermatology and Head of the Medical Systems Biology research group at the University of Lübeck. He contributes to the Lübeck-Sharjah Dual Degree Program as a member of the Scientific Mentorship Committee. His research focuses on applying systems biology approaches to autoimmune diseases, particularly investigating molecular mechanisms in pemphigus vulgaris, cancer biology, and immune-related disorders. He leads a multidisciplinary team exploring transcriptomic profiling, drug development, and translational oncology tools. His work spans dermatology, oncology, and genetics, with notable contributions to understanding clonal evolution in lymphomas and the impact of diet on immunotherapeutic efficacy. Busch has pioneered 3D skin models to study autoimmune pathogenesis and developed digital tools for molecular tumor boards to enhance precision medicine decision-making. His research integrates computational biology, epigenetics, and clinical data to address complex diseases. Busch's publications reflect a strong emphasis on translational research, bridging basic science and clinical applications. He collaborates extensively across disciplines to advance personalized oncology, autoimmune disease modeling, and systems-level disease understanding.