Find Academic Supervisors

• Robotics
• Computer Vision
• Industrial Automation
• +4 more

Oleksandr Semeniuta is an active researcher specializing in robotics, computer vision, and industrial automation systems. His work demonstrates consistent contributions to the field with publications spanning from 2015 to 2022, indicating ongoing academic or research activity. His collaborations with researchers like Petter Falkman across multiple publications suggest established research partnerships in the robotics domain. Dr. Semeniuta's research interests center around practical applications of robotics and computer vision in industrial settings. His work encompasses event-driven architectures for data processing and robot control, stereo calibration methods for 3D reconstruction, and resource-aware machine learning for IoT security. His research shows a strong focus on developing practical frameworks and systems that address real-world challenges in manufacturing and industrial automation. The publication trends reveal a consistent focus on robotics systems engineering, with particular emphasis on vision-based solutions and event-driven architectures. His work bridges theoretical computer vision concepts with practical industrial applications, especially in automotive manufacturing and robotic deburring systems. The research demonstrates progression from foundational work on dataflow programming for vision systems to more complex implementations of machine learning on edge devices for security applications. While specific awards are not documented in the available publication records, the consistent output in reputable venues including IEEE conferences and PeerJ Computer Science indicates recognition within the academic community. His work appears in both journal and conference publications, suggesting a balanced approach to disseminating research findings through different academic channels. Dr. Semeniuta's collaborative network includes researchers from various institutions, with Petter Falkman appearing as a frequent co-author across multiple projects. This suggests participation in research teams focused on industrial robotics and computer vision applications. His work on frameworks like EPypes indicates contributions to software infrastructure that enables more efficient development of robotic systems and data processing pipelines.

• Semantic Web
• Internet of Things
• Ontology Reasoning
• +5 more

Floriano Scioscia is a researcher at the Polytechnic University of Bari, Department of Electrical Engineering and Information Technology, with extensive contributions to the Semantic Web, Internet of Things, and knowledge-based systems. His work focuses on developing frameworks for semantic reasoning, resource discovery, and intelligent systems in ubiquitous computing environments. His research interests span multiple domains within computer science: Semantic Web technologies and ontology reasoning Internet of Things and Cyber-Physical Systems Cloud-Edge computing architectures Knowledge representation and semantic matchmaker systems Mobile and ubiquitous computing applications Analysis of his recent publications (2023-2025) reveals a strong focus on edge-based semantic reasoning, with significant work on the Tiny-ME and Cowl frameworks for lightweight OWL reasoning on resource-constrained devices. His research has increasingly incorporated blockchain technologies into IoT systems and explored the concept of "Internet of Conscious Things" with social capabilities for smart objects. The interdisciplinary nature of his work bridges computer science with healthcare applications, particularly in clinical decision support systems. Dr. Scioscia has collaborated extensively with researchers including Michele Ruta, Eugenio Di Sciascio, Giuseppe Loseto, and Filippo Gramegna across numerous projects spanning more than 15 years of research output.

Nathalie TrichesView profile

Researcher

• Biogeochemistry
• Climate Change
• Ecosystem Ecology
• +3 more

Nathalie Triches is a doctoral researcher at the Max Planck Institute for Biogeochemistry , affiliated with the Biogeochemical Signals (BSI) Department and the Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring (IPAS) research group . She is a PhD student in the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC) , focusing on greenhouse gas flux measurements in Arctic ecosystems. 2019-2021: MSc in International Masters of Soils and Global Change (Gent, Aarhus, and BOKU Vienna) 2013-2017: BSc in Forest Sciences (Bern University of Applied Sciences) Her research explores spatial and temporal patterns of N2O, CH4, and CO2 fluxes in Arctic microhabitats, emphasizing disturbances from global warming. She uses dark and transparent chamber measurements , UAV-based monitoring , and eddy covariance flux towers (e.g., at Stordalen Mire, Sweden). Collaborations include the University of Eastern Finland , University of New Hampshire , and University of Helsinki . Her publications address N2O emissions in nutrient-poor ecosystems , UAV-flux coupling methodologies , and permafrost carbon-nitrogen interactions . She collaborates on projects like N-PERM (Finland) and EMERGE (USA) to analyze microbial drivers of Arctic greenhouse gas budgets. She works with the Biogeochemical Signals Team and ICOS eddy covariance flux tower in Sweden, combining field data with modeling to improve understanding of Arctic GHG fluxes.

• Freshwater Ecology
• River Restoration
• Anthropogenic Impacts on Aquatic Biota
• +3 more

Dr. Jochem Kail is a Researcher at the Faculty of Biology , University of Duisburg-Essen , specializing in Aquatic Ecology . His work focuses on quantifying the impacts of multiple anthropogenic pressures on freshwater ecosystems, with particular emphasis on river restoration, riparian vegetation, and climate change effects.

Rüdiger KleinView profile

Professor

• Neuroscience
• Developmental Biology
• Neurodegeneration
• +7 more

Prof. Dr. Rüdiger Klein is the Director and Head of the Department of Molecules – Signaling – Development at the Max Planck Institute for Biological Intelligence. His research focuses on neuronal circuit formation, cell-cell communication, and neurodegenerative mechanisms using mouse models. Research Areas : Cortex development, amygdala circuits, optogenetics, mouse behavior, neurodegeneration studies Key Techniques : Genetic circuit manipulation, single-cell RNA sequencing, optogenetics, 2-photon calcium imaging Scientific Contributions : His work includes ERC-funded studies on synthetic neurocircuit reconstruction, FLRT protein roles in cortical folding, and amyloid-like aggregate toxicity in Huntington's disease. Advising : Mentored students including Aleksa Petković and Dr. Ylenia Mastrodicasa. Collaborates with Max Planck Institute of Biochemistry departments on proteostasis and neurodegeneration.

Simon SteuerView profile

Researcher

• Hybrid Location Models
• Internet of Things
• Data Quality of Environmental Sensors
• +3 more

Simon Steuer, M.Sc., is a Research and Teaching Assistant (Wissenschaftlicher Mitarbeiter) at the Chair of Mobile Systems within the Faculty of Information Systems and Applied Computer Sciences at the University of Bamberg, Germany. Since 2016, he has been actively contributing to research and teaching in the areas of hybrid location models, Internet of Things (IoT), and data quality of environmental sensors. Education 2014–2016: Master of Science in Applied Computer Science, University of Bamberg 2010–2014: Bachelor of Science in Media Informatics, Hochschule Hof 2004–2007: Vocational Training as IT Systems Electronics Technician, Deutsche Telekom AG Research Interests Simon Steuer's research is centered around the development of hybrid location models that integrate symbolic and geometric location information. He is particularly focused on applications in smart agriculture, such as the WeideInsight project, where he works on energy-efficient localization systems for cattle using Bluetooth Low Energy (BLE) and Mioty (LPWAN) technologies. His work also encompasses the improvement of data quality from environmental sensors, especially in citizen science contexts, and the design of privacy-preserving architectures for smart city labs. Research Projects & Theses Supervision Steuer actively supervises student theses and projects, including: Development of semantic models for hybrid cow location techniques Data generators for smart spaces and agriculture simulations Filtering and evaluation of beacon-based indoor positioning data Literature surveys on map matching and information visualization in smart agriculture Code refactoring for LPWAN-based environmental sensors Design of location data players and visualization tools Labs and Teams He is a member of the Chair of Mobile Systems research group led by Prof. Dr. Daniela Nicklas. The group collaborates on projects such as Explanym , Crowdanym , FutureIOT , Living Lab Bamberg , SIMUTOOL , and WeideInsight , fostering interdisciplinary research in mobile systems, IoT, and smart environments.

• Waste Management
• Energy Systems
• Environmental Engineering
• +3 more

Dr. Ulf Richers is a Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) within Karlsruhe Institute of Technology (KIT), Germany, where he has served since 1992—initially at the Institute of Technical Chemistry and at ITAS since 2008. Affiliated with the Research Group 'Sociotechnical Energy Futures,' his work integrates technical and environmental analysis to address waste management and energy system challenges. His academic foundation includes Chemistry studies at Leibniz University Hannover (1981–1988) and a doctorate at the University of Hanover's Institute of Technical Chemistry (1988–1992). From 1990–1993, he lectured at DEKRA Academy while commencing his research career. Richers specializes in material flow analysis for waste systems, waste-to-energy technologies, and environmental impact assessment. His research examines trace element transfers in industrial processes, flue gas cleaning optimization, and climate implications of carbon dioxide utilization. Recent work emphasizes systemic approaches to waste valorization and circular economy transitions within energy infrastructure. His 15 most recent publications reveal persistent focus on waste incineration's role in energy supply, material flow modeling for pollution prevention, and secondary resource integration in heavy industries. Key thematic threads include nitrogen oxide mitigation, slag management, and trace metal dynamics in construction materials—demonstrating consistent methodology centered on empirical material flow analysis and life cycle perspectives. No scientific awards are documented in the source material. While the text indicates Richers has lectured externally (e.g., at DEKRA Academy), no formal student advising or grant administration details are provided. His research operates within KIT's institutional framework without mention of dedicated funding streams. He actively contributes to ITAS's Research Group 'Sociotechnical Energy Futures,' which investigates socio-technical dimensions of energy transitions with particular emphasis on waste-derived resource systems and their integration into sustainable infrastructure networks.

• Digital Controlling
• Management Accounting
• Business Analytics
• +5 more

Prof. Dr. Imke Keimer is a Professor at the Lucerne University of Applied Sciences and Arts (Hochschule Luzern) in the Department of Economics within the Business School. She is based at the Campus Zug-Rotkreuz and works at the Institute for Financial Services Zug (IFZ) in the CC Controlling (IFZ CO) division. Her work focuses on the intersection of digital transformation and financial management, particularly in the field of controlling. Her educational background includes: 2016: Appointed Professor at Lucerne University of Applied Sciences and Arts 2013: Certificate in University Teaching, Lucerne University of Applied Sciences and Arts 2011: Financial Risk Manager (FRM), Global Association of Risk Professionals (GARP) 2005-2009: Dissertation (Dr. rer. oec.), University of Bern, Topic: "Accounting Policy, IT Investments and the Strategic Orientation of Cost Management - Empirical Work in the Field of Accounting" (summa cum laude) 1999-2005: Studied Business Mathematics (M.Sc.), Technical University of Dortmund (overall grade: very good) Prof. Keimer's research primarily centers on digital transformation in controlling, business analytics, and agile finance. She has developed frameworks for assessing digital maturity in controlling functions and has pioneered approaches to integrate agile methodologies into financial management. Her work bridges theoretical research with practical applications, often through collaborations with industry partners. She has established herself as a thought leader in how digital technologies are reshaping the controller role from traditional accounting functions toward strategic business partnership. Her recent publications reveal a clear trajectory from foundational research on digital controlling frameworks toward more specific applications in sustainability, agile methodologies, and educational technology. The articles show increasing focus on practical implementation challenges, with notable attention to sustainable business practices and the evolving role of controllers in complex organizational environments. Her work consistently emphasizes the human dimension of digital transformation - how skills, mindsets, and organizational culture must evolve alongside technological changes. Scientific awards and recognitions include: Publication Award 2021 in the "Teaching" category for "PLAYMOBIL pro im Controlling: Mit Plastikfiguren das zukünftige Controlling-Rollenprofil gestalten" Financial Risk Manager (FRM) certification from GARP Prof. Keimer has been actively involved in advising and research projects. She served as Program Director for the MSc International Financial Management program and has led several significant research initiatives including the Innosuisse Project "Digital Transformation in Controlling" (2017) and the "Business Analytics in Controlling" project (2019). Her grant portfolio demonstrates strong industry-academia collaboration, with projects often co-developed with financial institutions and corporate partners seeking to modernize their controlling functions. She has also been instrumental in developing continuing education programs that bridge academic research with professional practice. She is closely associated with the Institute for Financial Services Zug (IFZ), where she contributes to research and teaching in the CC Controlling division. Her work often involves cross-disciplinary collaboration, particularly with colleagues in information systems and organizational behavior. She has developed a distinctive approach to teaching and research that combines academic rigor with practical applicability, frequently using case studies and industry partnerships to ground theoretical concepts in real-world challenges.

• Computer Vision
• Machine Learning
• Multimedia Retrieval
• +5 more

Michel Crucianu is a Professor at the Conservatoire national des arts et métiers (CNAM) in Paris, France, affiliated with the CEDRIC laboratory (Centre d'Études et de Recherche en Informatique et Communications). His research spans computer vision, machine learning, and multimedia information retrieval, with a focus on developing advanced techniques for image and video analysis. Crucianu's research interests include computer vision, deep learning, generative models, zero-shot learning, and cross-modal retrieval. His work often addresses fundamental challenges in representation learning, with applications ranging from fashion recognition to disaster monitoring. He has made significant contributions to GAN-based techniques, particularly in semantic editing and attribute control within latent spaces. His research combines theoretical insights with practical applications, demonstrating strong interdisciplinary connections between computer vision and machine learning. Analysis of his recent publications reveals a strong focus on generative models (particularly GANs), zero-shot learning, and compositional visual reasoning. His work shows an evolution from traditional image retrieval techniques toward more sophisticated deep learning approaches, with increasing emphasis on interpretability, multimodal representations, and efficient learning strategies. The breadth of his research spans theoretical advances in representation learning to practical applications in areas like flood detection and fashion recognition. While specific awards are not mentioned in the available information, Crucianu's extensive publication record in top-tier conferences and journals demonstrates significant recognition within the computer vision and machine learning communities. His consistent publication output over two decades reflects sustained research excellence and impact. Crucianu has collaborated extensively with researchers at CEDRIC and other institutions, particularly with colleagues like Hervé Le Borgne, Nicolas Audebert, and Marius Ferecatu. His work often involves interdisciplinary collaborations spanning computer vision, machine learning, and domain-specific applications. His research has been supported by various projects addressing multimedia indexing, content-based retrieval, and advanced learning techniques. As a member of the CEDRIC laboratory, Crucianu contributes to one of France's leading research centers in computer science and communications. The laboratory's research axes include complex data analysis, machine learning representations, data mining and statistics, and information decision systems, all areas where Crucianu has made substantial contributions through his research and collaborations.

Cedric du MouzaView profile

Professor

• Database Systems
• Data Mining
• Digital Humanities
• +6 more

Cédric du Mouza is a full Professor within the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris, France. His research activities lie at the intersection of database systems, data mining, and digital humanities, with a strong emphasis on social network analysis, knowledge base population, and spatial/temporal data management. Education details are not explicitly provided in the source material. His research interests can be summarized as follows: Database Technologies: scalable indexing, distributed repositories, spatial and temporal data structures. Data Mining & Machine Learning: community detection, influence maximization, recommender systems. Digital Humanities: prosopographic databases, historical social networks, credibility assessment of historical sources. Social Media Analytics: Twitter user profiling, early detection of popular accounts, reducing filter bubbles. Across more than two decades, Prof. du Mouza has produced a rich scholarly record that blends theoretical advances with practical applications. Recent publications (2020-2024) highlight a methodological shift toward end-to-end evaluation frameworks for knowledge base population, uncertainty modeling in historical corpora, and real-time influence maximization in advertising ecosystems. These works are published in premier venues such as SIGIR , VLDB Journal , WISE , CIKM , and leading French conferences (EGC, BDA). No specific scientific awards, funded projects, or doctoral student names are mentioned in the supplied text. Prof. du Mouza collaborates extensively within interdisciplinary teams involving historians, computer scientists, and statisticians, reflecting CEDRIC’s integrative research culture. While no dedicated laboratory or team name is provided, his continuous affiliation with CEDRIC/CNAM confirms an active and ongoing role in both research and graduate-level education.

• Wireless Communications
• Signal Processing
• Embedded Systems
• +4 more

Ali Dziri is a permanent researcher at CentraleSupélec's Cedric Laboratory , focusing on wireless communications, signal processing, and embedded systems. His work spans 2004–2023 with key contributions in UWB communication, IoT networks, video/image transmission, and real-time tracking algorithms. His research interests include: Wireless Communications Signal Processing Embedded Systems Machine Learning IoT Networks Video/Image Compression Recent publications highlight trends in neural networks for channel equalization, MIMO relays for WSNs, and 5G D2D communication protocols. He has no listed scientific awards or advisees.

Ofer ShayevitzView profile

Professor

• Information Theory
• Statistical Inference
• Data Science
• +3 more

Prof. Ofer Shayevitz is a faculty member at the School of Electrical Engineering , Tel Aviv University , holding the academic rank of Professor . He is affiliated with the Department of Systems and leads interdisciplinary research at the intersection of information theory , statistical inference , and data science . His research explores theoretical challenges in interactive communication , machine learning , and quantum information , with applications to communication complexity , graph analysis , and non-stationary environments . Notable work includes advances in high-dimensional regression , entropy estimation , and memory-constrained algorithms . The trends in his recent publications highlight information-theoretic bounds , statistical inference under constraints , and interactive protocols . His group has made significant contributions to quantum key distribution , planted graph detection , and guesswork analysis . Scientific awards include the Best Student Paper Award at ISIT 2020 . His research is supported by major grants from the Israel Science Foundation (ISF) , ERC Starting Grant , and Israel Innovation Authority . Prof. Shayevitz advises current PhD students Assaf Ben-Yishai , Uri Hadar , and Shahar Stein Ioushua , as well as M.Sc. students Inbar Pinsly and Oz Ben Hamo . Former advisees include faculty members at institutions like Kyushu University and University of British Columbia .

Georg WenzelburgerView profile

Professor

• Comparative Politics
• European Union Policy
• Public Policy Analysis
• +7 more

Georg Wenzelburger is Professor of Political Science with a focus on Comparative European Research at Saarland University since September 2022. He holds a position within the Faculty of Empirical Humanities and is a member of the CEUS-Collegium. Previously, he served as Professor for Policy Analysis and Political Economy at the University of Kaiserslautern and as an Assistant Professor at the University of Freiburg. His research focuses on comparative political decision-making processes in the European Union, European states, and subnational levels. Wenzelburger examines policy differences and similarities across European states, the impact of European impulses on national political systems, and the role of political actors—particularly parties—in shaping policies. His work also explores how structural changes like digitalization, uncertainty, and social change affect political decision-making. Additional research interests include public policies in Western countries, with emphasis on the welfare state, law and order policies, public finances, and border regions. Wenzelburger's recent publications demonstrate a strong focus on algorithmic decision-making in criminal justice, border region cooperation, European integration, and the interplay between welfare policies and security policies. His work employs both quantitative and qualitative methods within an empirical-analytical framework, drawing on comparative political economy and public policy theories. Jenei Award for article in Public Management Review (2024) Wenzelburger leads significant third-party funded projects including PROTEMO (a Horizon Europe project worth approximately 3 million euros), Strakosim, and the European Cooperation Platform. His research team conducts work published in top journals such as British Journal of Political Science, European Journal of Political Research, Journal of European Public Policy, and West European Politics, as well as monographs with Routledge and Oxford University Press. At Saarland University, Wenzelburger teaches primarily in the European Studies program, offering courses including Introduction to European Governance, Politics between the Nation State and the EU, and advanced seminars in Comparative European Politics. He supervises theses in European and International Politics, European Studies: Politics, Law, and Society, and the Master's program Spaces, Politics, and Societies of Europe.

Marcell NikolauszView profile

Researcher

• Microbial Biotechnology
• Anaerobic Digestion
• Biogas Production
• +3 more

Dr. Marcell Nikolausz is a Scientist at the Department of Microbial Biotechnology of the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany, with additional collaboration through the Deutsches Biomasseforschungszentrum (DBFZ). His career at the UFZ spans over two decades, having served in various departments including Environmental Microbiology and Bioenergy before his current position in Microbial Biotechnology since 2024. Dr. Nikolausz's research focuses on microbial communities in anaerobic systems, particularly examining biomethanation processes, hydrogen utilization, and antimicrobial resistance in biogas production. His work bridges fundamental microbiology with practical applications in renewable energy and waste treatment technologies. He has made significant contributions to understanding the functional dynamics of microbial communities involved in biogas production from various feedstocks, including lignocellulosic biomass and organic waste streams. Analysis of Dr. Nikolausz's recent publications reveals a consistent focus on optimizing biogas production processes through microbial community analysis. His research increasingly addresses the integration of renewable energy systems with biological processes, particularly examining Power-to-X applications and hydrogen-based biomethanation. A notable trend is his investigation into antimicrobial resistance within anaerobic digestion systems, which has important implications for environmental safety and public health. Marie Curie Development Host Fellow (Project: BIOISOTOPE, contract: EVK1-CT-2000-56120) Dr. Nikolausz has established extensive collaborations across European research institutions, contributing to numerous projects focused on sustainable biotechnological solutions. His work on microbial protein production from green hydrogen represents cutting-edge research at the intersection of renewable energy and food security. He has been actively involved in developing innovative reactor designs for biomethanation processes and investigating the microbiological aspects of Power-to-X applications. As a member of the Working Group Microbiology of Anaerobic Systems, Dr. Nikolausz contributes to advancing the scientific understanding of complex microbial communities in biogas production systems. His research team investigates the functional relationships within these communities to optimize process efficiency and stability under varying operational conditions.

• Evolutionary Ecology
• Marine Biology
• Conservation Ecology
• +4 more

Nils Anthes is a Tenured Lecturer at the Institute of Evolution and Ecology, Department of Biology, within the Faculty of Mathematics and Natural Sciences at the University of Tuebingen, Germany. His academic career spans over two decades, with research focusing on evolutionary ecology and animal behavior across diverse taxonomic groups. Dr. Anthes completed his Diploma in Landscape Ecology at the University of Münster in 2002 with research on butterfly ecology, followed by his dissertation in 2006 on mating conflicts in hermaphroditic sea slugs through a joint program between Münster and Tuebingen universities. Since 2006, he has been a continuous member of the Animal Evolutionary Ecology group at the University of Tuebingen. His research portfolio includes three major thematic areas: Marine visual ecology investigating fluorescence patterns in fish; Applied Conservation Ecology focusing on farmland birds and endangered butterflies; and Sexual selection in hermaphrodites examining mating systems in marine invertebrates. His work on animal personality and filial cannibalism in fish with paternal care represents another significant research stream. Current projects include marine visual ecology (fluorescence in fish) and applied conservation ecology, while previous work focused on traumatic mating mechanisms and polyandry dynamics. Analysis of his publication record reveals a clear evolution in research focus. Early work (2005-2015) centered on marine invertebrates and sexual selection mechanisms, while more recent publications (2018-2025) demonstrate a shift toward conservation biology, particularly bird population dynamics, statistical ecology, and habitat management. This trajectory reflects both changing ecological priorities and methodological advancements in ecological research. Dr. Anthes maintains active collaborations with numerous researchers including Nico Michiels, Pierre-Paul Bitton, Ulrike Harant, Matteo Santon, and others across multiple projects. His work appears across diverse platforms as evidenced by his profiles on Google Scholar, ResearchGate, ResearcherID, OrcID, and Publons. His laboratory work spans both field and experimental approaches, with research conducted in marine environments, forest ecosystems, and agricultural landscapes. The evolution of his research interests demonstrates adaptability to emerging ecological challenges while maintaining core expertise in evolutionary processes.