جستجوی استاد راهنمای دانشگاهی

• Statistics
• Applied Mathematics
• Systems Biology
• +۲ مورد دیگر

Dr. Hannes Matuschek is a Researcher in the Department of Applied Mathematics at the University of Potsdam, Germany, with office space 2.09.1.24 and contact email hannes.matuschek@uni-potsdam.de. He actively participates in the institute's academic events including working group seminars and colloquia. Research Interests: His work spans Statistics, Applied Mathematics, Systems Biology, and Biomechanics. Key contributions include statistical methodology for linear mixed models (addressing Type I error/power tradeoffs and interaction effects), smoothing spline ANOVA for eye movement analysis in reading, stochastic modeling of gene regulatory networks, and vector field manipulations on spherical domains. His research bridges theoretical frameworks with applications in cognitive science, systems biology, and fraud detection. Publication Trends: His 12 publications (2012-2019) reveal a trajectory from computational systems biology (stochastic biochemical kinetics tools like iNA) toward statistical methodology development. Early work focused on noise approximation in gene networks, evolving into eye-tracking analysis and vector field mathematics, demonstrating consistent integration of advanced statistics with domain-specific challenges across biological and cognitive sciences. Scientific Awards: No awards were mentioned in the provided materials. Advising and Grants: No information was provided regarding student supervision, grant funding, or research collaborations. Labs and Teams: He operates within the Applied Mathematics research group at the University of Potsdam, contributing to seminars and events in analysis and interdisciplinary applications as evidenced by his institutional presence.

Dennis Hohlfeldمشاهده پروفایل

استاد

• Silicon-based microsystem technology
• Energy-autonomous systems
• Energy Harvesting
• +۳ مورد دیگر

Prof. Dr.-Ing. Dennis Hohlfeld serves as Professor and Chair of Micro- and Nanotechnology of Electronic Systems at the University of Rostock's Institute of Device Systems and Circuit Technology. He holds key administrative roles as Study Advisor and Chairman of the Computational Science and Engineering (CSE) Examination Board, while actively contributing as a reviewer for research funding organizations and scientific publishers. His research spans five core domains: Silicon-based microsystem technology focusing on nanoscale material behavior for high-performance electronics Energy-autonomous systems leveraging environmental energy sources through harvesting techniques Energy-efficient circuit design for miniaturized applications Microoptics development for photonic integration Modeling and simulation techniques enabling system-level analysis of complex multiphysics phenomena Analysis of his 15 most recent publications reveals a dominant trend toward biomedical energy solutions, particularly thermoelectric generators for implantable devices. His work demonstrates strong interdisciplinary integration across electrical engineering, materials science, and neuroscience, with increasing emphasis on model order reduction for efficient simulation of MEMS devices and optogenetic applications. The publications consistently address miniaturization challenges while maintaining system-level performance. No scientific awards were documented in the provided materials. As Study Advisor and Examination Board Chairman for CSE, Prof. Hohlfeld oversees academic progression for computational science students. His research leadership encompasses: Technical Domains Energy harvesting systems for medical implants Photonic integration in microelectronics Multiphysics modeling frameworks Application Areas Autonomous environmental sensors Neuroprosthetic interfaces Power-efficient microsystems The Institute of Device Systems and Circuit Technology houses specialized laboratories for microsystem fabrication, energy harvesting characterization, and optical circuit development, supporting his research in silicon-based nanotechnology and energy-autonomous systems.

Marcel Aachمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• High-Performance Computing
• Machine Learning
• +۳ مورد دیگر

Marcel Aach is a researcher at the Jülich Supercomputing Centre (JSC) within Research Centre Jülich, focusing on high-performance computing (HPC) and artificial intelligence (AI) integration. His work spans hyperparameter optimization, quantum-classical hybrid systems, and scalable deep learning architectures. Research Focus: AI-driven CFD simulations, medical imaging analysis, and edge AI optimization Infrastructure: Leverages JSC's HPC systems for large-scale computational tasks Recent publications highlight his contributions to resource-adaptive AI training, turbulent flow prediction using GRU models, and enhancing CT data accuracy for respiratory simulations. His work intersects HPC scalability, machine learning efficiency, and interdisciplinary applications. While no scientific awards are explicitly documented in the provided texts, his research demonstrates technical leadership in merging classical and quantum computing paradigms for AI optimization.

Chelsea Maria Johnمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Artificial Intelligence
• High-Performance Computing
• +۵ مورد دیگر

Chelsea Maria John is a Researcher at the Accelerating Devices Lab within the NOVAS division of the Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich. Her work focuses on high-performance computing and artificial intelligence, specializing in efficient machine learning model training, hardware accelerator benchmarking, and optimization strategies for communication and computation. Her research spans: Natural Language Processing and Large Language Models (LLMs) Scientific Machine Learning with Neural Operators High-Performance Computing system optimization Benchmarking frameworks for emerging AI hardware European open-source AI initiatives like OpenGPT-X Analysis of her 15 publications (2021-2025) reveals pioneering work in training LLMs on HPC systems, development of benchmarking suites (JUPITER, CARAML), and European LLM projects (Teuken series). Her research bridges AI and computational science, notably applying Fourier Neural Operators to fluid dynamics simulations. As part of the Accelerating Devices Lab, she contributes to advancing AI acceleration through hardware-software co-design, focusing on communication efficiency and computational optimization for next-generation scientific computing workloads.

Joachim Falkمشاهده پروفایل

پژوهشگر

• Electronic System Level Design
• Hardware-Software Co-Design
• Data-Flow Graphs
• +۶ مورد دیگر

Joachim Falk is a researcher at the Department of Hardware-Software Co-Design (Computer Science 12) at Friedrich Alexander University Erlangen-Nuremberg. With over 20 years of experience since joining the department in 2004, he specializes in electronic system level design, dataflow programming, and hardware-software co-design, contributing significantly to the field through publications, teaching, and research leadership. His educational background includes: Doctorate degree (Dr.-Ing.) in Computer Science from FAU (2014) Diploma degree in electrical engineering (data processing) from Georg-Simon-Ohm University of Applied Science Nuremberg (2002) Falk's research focuses on Electronic System Level Design, Hardware/Software Code Generation for Data-Flow Graphs, Compiler Optimizations, and Parallel Architectures. His work bridges theoretical computer science with practical embedded systems implementation, particularly through the SystemC framework and his contributions to the SysteMoC language. He actively explores energy-efficient computing approaches for dataflow networks and embedded systems, with recent work emphasizing self-powering networks, clock and power gating techniques, and multi-reader buffer implementations for heterogeneous architectures. His recent publication trends reveal a consistent focus on optimizing dataflow networks for energy efficiency and performance. Key themes include self-powering dataflow networks, innovative clock and power management techniques, buffer management strategies for heterogeneous many-core systems, and invasive computing approaches. His research demonstrates a strong connection between theoretical models and practical implementation challenges in embedded systems design. Dr. Falk teaches courses including 'Entwicklung interaktiver eingebetteter Systeme' (Development of Interactive Embedded Systems) for Winter Semester 2024/2025 and 'SystemC' for Summer Semester 2024, supervising multiple theses on security modeling at the electronic system level and sleep/wake-up strategies for hardware implementations of dataflow networks. His research is conducted within the framework of projects like SysteMoC (representation of computational models in SystemC) and SystemCoDesigner (design space exploration for embedded systems).

• Entrepreneurial Finance
• Innovation
• Venture Capital
• +۳ مورد دیگر

Shai B. Bernstein serves as the Marvin Bower Associate Professor in the Entrepreneurial Management Unit at Harvard Business School and holds a concurrent position as Research Fellow at the Leibniz Institute for Economic Research Halle (IWH) since July 2023. He is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER), with primary research focused on entrepreneurial finance, innovation dynamics, and startup labor markets. Bernstein's scholarly work examines how economic conditions shape entrepreneurial activity, particularly talent flows to startups during downturns, the comparative impacts of public versus private equity markets on firm behavior, and the role of high-skilled immigrants in driving innovation. His methodological approach frequently combines large-scale proprietary datasets with randomized field experiments to establish causal mechanisms in entrepreneurship and finance. Analysis of his 15 most recent publications (2017-2024) reveals three dominant research threads: (1) cyclical patterns in startup labor markets during economic shocks, (2) institutional complementarities between public and private capital markets in fostering innovation, and (3) demographic and opportunity-driven factors in entrepreneurial firm creation. These studies consistently bridge theoretical finance with real-world policy implications for innovation ecosystems. His scholarly recognition includes: Brattle Prize for Best Paper in the Journal of Finance (2015) Charles River Associates Award for Best Paper in Corporate Finance (Western Finance Association 2019) NBER Faculty Research Fellowship While specific student advising details are not publicly documented, Bernstein actively contributes to academic discourse through his NBER affiliation and extensive co-authorship network. His research collaborations span institutions globally, as evidenced by publications with scholars from Harvard, University of Chicago, and international universities. Bernstein maintains strong institutional ties through Harvard Business School's Entrepreneurial Management Unit and the IWH's Department of Legislation, Regulation, and Factor Markets, where he investigates policy implications of his empirical findings on entrepreneurial finance.

Jürgen Peissigمشاهده پروفایل

استاد

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +۵ مورد دیگر

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

Juliane Tomannمشاهده پروفایل

استادیار

• Public History
• Contemporary History
• Historical Reenactment
• +۷ مورد دیگر

Juliane Tomann is a Junior Professor for Public History at the University of Regensburg, where she is affiliated with the Institute of History within the Faculty of Philosophy, Arts, History and Social Sciences. Since December 2021, she has held this position while also taking on significant leadership roles including membership in the management team of the Center for Remembrance Culture (since February 2022), serving as Principal Investigator of the Graduate School for East and Southeast European Studies (since August 2022), and assuming the role of Equal Opportunities Officer for the Graduate School (since July 2023). In 2024, she successfully completed both the interim evaluation of her junior professorship and her habilitation in public history and contemporary history. Dr. Tomann's research focuses on performative practices in historical culture, historical reenactment across multiple national contexts (USA, Germany, and Poland), digital public history, gender in public history, post-industrial spaces and landscapes, and the contemporary history of Poland alongside cultural history of the GDR. Her work bridges academic history with public engagement, emphasizing how history is experienced, performed, and embodied in contemporary society. Her scholarly output reveals a consistent trajectory examining how historical narratives are constructed and experienced through performative practices. The articles demonstrate a growing interest in gender dimensions of historical reenactment, digital approaches to historical representation, and the political dimensions of memory practices in post-socialist contexts. Her work increasingly intersects with digital humanities through explorations of virtual reality applications in historical culture. 2015 Polish Ambassador's Academic Award for doctoral thesis on historical culture in Katowice Dr. Tomann has been instrumental in developing networks for public history scholarship, having coordinated the international Jean Monnet Network 'Applied European Contemporary History' and served as managing editor for the Cultures of History Forum. She has organized numerous conferences and workshops that bridge academic research with public engagement, including the Memory Studies Association Conference 'Beyond Crisis' (Prague, June 2025) and various workshops on historical reenactment, gender in historical practices, and nuclear heritage. Her academic leadership extends to directing teacher training programs on historical remembrance and developing interdisciplinary approaches to understanding historical culture beyond traditional disciplinary boundaries.

Barbara Mikusمشاهده پروفایل

استاد

• Production Management
• Supply Chain Management
• Risk Management
• +۵ مورد دیگر

Prof. Dr. Barbara Mikus has served as Professor of Business Administration, especially Industrial Management, at the Faculty of Business Administration and Industrial Engineering (FWW) of Leipzig University of Applied Sciences (HTWK Leipzig) since 2004. She held leadership roles including Dean of Studies (2007–2020) , Dean of the Faculty of Economics (2012–2015) , and Vice Rector for Education (2019–2024) . Currently, she chairs the WW and WING Audit Committees and serves on the University Council of the Cooperative State University Saxony (2025–2030) . Studied Business Administration at Georg-August University of Göttingen (1989–1994) Doctorate in Economics (1997), Habilitation (2003) at University of Göttingen Co-editor of Journal for Planning & Corporate Management (ZP) (1995–2004) Her research focuses on production management , supply chain risk , strategic logistics , and sustainable manufacturing . Recent work examines human-robot collaboration (2020) and resource-based location planning (2002). Publications address decision models in risk management (1998), KPI systems (2010), and make-or-buy strategies (2010). Key article trends include sustainability in manufacturing (2020), supply chain risk frameworks (2015), human-machine interaction (2015), and economic evaluation of logistics centers (2011). Her 1998 Principal-Agent Theory analysis remains influential in organizational economics. She contributes to academic governance as Scientific Advisory Board member for Der Betriebswirt journal (since 2007) and Faculty Council member (current). Her career spans editorial roles at Springer-Verlag (1995–2004), research at the Institute for Business Production and Investment Research (1994–2004), and leadership in multiple national commissions.

• Global History
• Social History
• Political History
• +۱۰ مورد دیگر

Nina Schneider is an Assistant Professor in the History Department at the University of Duisburg-Essen, specializing in global-local perspectives on human and social rights. She leads the DFG-funded project "Child Labour Opponents in the Americas and their Campaigns in Global Perspective, 1888-1938" and serves as a Research Group Leader at the Centre for Global Cooperation Research (GCR21). Her work bridges Global History, Cultural History, and Public History, with a focus on child labor, dictatorship legacies, and racism. 2021–Present: Assistant Professor, University of Duisburg-Essen 2018–2024: Research Group Leader, Käte Hamburger Kolleg/GCR21 2023–: Scientific Committee Member, Swiss Network for International Studies Her research examines: Critical history of child labor legislation across the Americas Propaganda and violence in Cold War Latin America Visual regimes of migration and racism Transnational memory politics and truth commissions Methodological integration of oral and media histories Key scientific contributions include: Marie Curie Postdoc Fellowship (2013–2015) DFG-funded research on child labor campaigns DAAD Stipendium for Columbia University research (2012–2013) She collaborates with interdisciplinary teams at the Global South Studies Center (2015–2018) and contributes to public history initiatives, including exhibitions like Normaliminalities: Artefacts from Various Souths and Norths (2017).

• Distributed Systems
• Service-Oriented Computing
• Cloud Computing
• +۴ مورد دیگر

Winfried Lamersdorf is a full professor in the Department of Computer Science at the University of Hamburg , leading the Distributed Systems (VSIS) research unit. His career spans from IBM's European Networking Centre to leading numerous DFG, EU, and industry-funded projects. Major research interests include: Service-oriented computing (SOA, Web Services) Mobile and ubiquitous systems Agent-oriented software construction Self-organizing systems Context-aware middleware Cloud/edge computing Applications in E-Health, Smart Cities, and Industrial Informatics Recent projects like SANE (Smart Networks for Citizen Participation), CloudAware (context-adaptive mobile cloud systems), and FYPA²C (future production automation) highlight his focus on urban data spaces, energy-efficient mobile systems, and evolutionary software management. His scientific contributions span 200+ publications, with 15 recent articles covering topics such as: Complex event processing Decentralized blockchain coordination Context-aware computation offloading Model-driven production system evolution BDI agent architectures Service composition patterns Advising over 20 PhD students including Heiko Bornholdt (Smart Cities), Philipp Kisters (Distributed Platforms), and Gabriel Orsini (Mobile Clouds, 2016), Lamersdorf has shaped research in distributed applications through long-term collaborations with institutions like TU Munich, HSU Hamburg, and international IFIP committees.

Felix Gessertمشاهده پروفایل

پژوهشگر

• Cloud Computing
• NoSQL Database Systems
• Scalable Database Systems
• +۸ مورد دیگر

Felix Gessert is a Researcher at the University of Hamburg's Department of Computer Science, affiliated with the Visual and Semantic Information Systems (VSIS) group. He is the CEO and co-founder of Baqend, a company developing web acceleration technology based on his PhD research on caching for cloud computing. His work focuses on cloud systems, NoSQL databases, and scalable data architectures. Research Interests: Cloud Computing, Polyglot Persistence, Scalable Database Systems, Distributed Systems, Web Protocols, Microservices, Probabilistic Data Structures, Stream Processing. Key Projects: Baqend (co-founder), InvaliDB (push-based real-time queries), Orestes (low-latency caching middleware), and Speed Kit (GDPR-compliant caching solution). Publications: Author of 31+ papers on web performance, cloud data management, and NoSQL systems. Notable works include cross-entity delta encoding in web compression, polyglot persistence architectures, and real-time query frameworks. Honors: Junior Fellow of the German Informatics Society (GI); winner of Heureka 2018 (10,000 Euro) and Startups@Reeperbahn 2017 (100,000 Euro). Academic Service: Organizer of workshops and symposia on scalable cloud data management; member of program committees for IEEE Big Data, VLDB, and BTW conferences.

• Mathematics Education
• Conceptual Understanding of Mathematical Concepts
• Function Concepts
• +۵ مورد دیگر

Tomma Jetses is a Researcher at the Institute for Mathematics Education within the Faculty of Mathematics at Bielefeld University, where they have been working since April 2024. Prior to this, Jetses served as a research associate at the Mathematics Didactics Group at the University of Osnabrück since 2018. Their academic background includes a Master of Education (Gym/Ges) in Mathematics and French from the University of Osnabrück (2015-2018) and a Bachelor of Arts in the same subjects (2012-2015). Jetses' research focuses on mathematics education with particular emphasis on conceptual understanding of mathematical concepts, function concepts, derivation/calculus concepts, and the cognitive processes involved in learning mathematics. Their work often employs qualitative methodologies including interview studies to investigate how students develop mathematical understanding, especially during critical transitions such as from school to university mathematics. Analysis of Jetses' publication record from 2019-2024 reveals a consistent focus on basic representation theory in mathematics education, with particular attention to conceptual difficulties students face with fundamental mathematical concepts like functions and derivatives. Their research often examines the transition challenges between school and university mathematics, identifying specific misconceptions and developing theoretical frameworks for understanding mathematical concept development. Jetses frequently collaborates with Alexander Salle and other researchers in the mathematics education field, with multiple co-authored publications appearing in prominent German mathematics education journals and conference proceedings. Their work bridges theoretical frameworks like APOS theory with practical classroom applications, particularly in developing digital and enactive learning approaches for complex mathematical concepts.

Irina Nikishinaمشاهده پروفایل

پژوهشگر

• Semantics
• Argument Mining
• Taxonomy Enrichment
• +۳ مورد دیگر

Irina Nikishina is a postdoctoral researcher at the University of Hamburg's Department of Informatics, working in the Language Technology Group under Prof. Chris Biemann. As a researcher in computational linguistics and natural language processing, she contributes to projects like ACQuA-2.0, focusing on semantics, argument mining, taxonomies, and knowledge graphs. PhD in Computational and Data Science and Engineering (2022), Skolkovo Institute of Science and Technology Bachelor's and Master's degrees from National Research University Higher School of Economics (NRU HSE) Her research spans taxonomy enrichment, comparative question answering systems, and biomedical concept representation. She organizes shared tasks like RUSSE’2020 and RuArg-2022, and co-founded the RusNLP semantic search engine for Russian NLP conferences. She chairs the Network Analysis track at the International Conference on Analysis of Images, Social Networks and Texts (AIST) and has served as secretary for AIST 2020 and 2021. Recent publications focus on large language models' performance in lexical semantics, multilingual comparative argumentation systems, and knowledge graph integration for QA tasks. Her work includes developing tools like TaxFree for candidate-free taxonomy enrichment and exploring cross-modal approaches for taxonomic graph expansion.

Martin Semmannمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Natural Language Processing
• Digital Transformation
• +۷ مورد دیگر

Dr. Martin Semmann serves as the Managing Director of the Hub of Computing and Data Science (HCDS) at the University of Hamburg since 2023. Previously, he worked as a Postdoctoral Researcher & Managing Director at ahoi.digital (2018-2023) and as a Scientific Staff Member in the IT Management and Consulting (ITMC) department at the University of Hamburg (2011-2018). His academic background includes an M.Sc. and B.Sc. in Business Informatics from Georg-August-Universität Göttingen. Dr. Semmann's research spans multiple interdisciplinary domains with a strong focus on Artificial Intelligence applications for social good , including democratic discourse monitoring, hate speech detection, and equitable access to medical knowledge. His work bridges Natural Language Processing with political science, ethics, and low-resource language processing, particularly focusing on Amharic language applications. He has made significant contributions to Digital Transformation research, especially in sustainable mobility and public transportation systems. His publication portfolio demonstrates expertise across multiple domains including Retrieval-Augmented Generation systems, multilingual polarization analysis, interdisciplinary collaboration frameworks, and decolonial AI approaches. These works show a consistent pattern of addressing societal challenges through technological innovation while emphasizing ethical considerations and cultural relevance. Dr. Semmann actively supervises numerous final theses across diverse topics including Digital Transformation, Benefit Management, and Service Systems. His current research projects include WizARd (knowledge networking through augmented reality) and Rescue-Mate (dynamic situation creation for emergency responders). Previously, he contributed to projects such as IGT (Information Governance Technologies), ExTEND, PROMIDIS, and ProduSE. As an active member of the academic community, Dr. Semmann serves on editorial boards and as a reviewer for prominent journals including Business & Information Systems Engineering, Communications of the AIS, and the European Conference on Information Systems. He is also a founding member of the Artificial Intelligence Center e.V. since 2019.