جستجوی استاد راهنمای دانشگاهی

Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University, with joint appointments in Electrical and Computer Engineering, Mechanical Engineering, and the Department of Surgery at the School of Medicine. He serves as the head of the NSF's Computer and Information Science and Engineering Directorate (as of 2024) and is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare. Previously, he chaired the Department of Computer Science from 2010-2015 and served as deputy director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology. Hager's research focuses on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. His work spans surgical robotics, human-machine collaboration, and computer vision with applications in healthcare. As director of the Computational Interaction and Robotics Lab (CIRL), he investigates dynamic spatial interaction at the intersection of imaging, robotics, and human-computer interaction. His research has led to real-world applications in surgical training, medical imaging, diagnostics, and computer-enhanced interventional medicine. Hager's publications demonstrate consistent advancement in surgical data science, with recent work focusing on 3D reconstruction from endoscopic video, surgical skill assessment using AI, and robotic assistance in neurosurgery. His research trajectory shows increasing integration of deep learning with surgical robotics, particularly in real-time guidance systems and objective skill assessment metrics. IEEE Fellow MICCAI Fellow ACM Fellow AIMBE Fellow AAAS Fellow MICCAI Best Paper Award (2006) Fulbright Junior Faculty Award (1988) Morris Ruben Outstanding Dissertation Award (1988) Hager has advised numerous PhD students who have become leaders in computer vision and medical robotics. His lab has secured significant research funding, including NSF Engineering Research Center support. He co-founded two successful startups: Clear Guide Medical (ultrasound-guided procedures) and Ready Robotics (industrial robot usability). As chair of the Computing Community Consortium and member of the International Federation of Robotics Research board, he has shaped national research agendas in computing and robotics. Hager leads the Computational Interaction and Robotics Lab (CIRL), which is associated with the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST) and the Laboratory for Computational Sensing and Robotics (LCSR). His team collaborates extensively with clinicians at Johns Hopkins Hospital to translate robotics research into clinical practice.

• Robotics
• Computer Vision
• Human-Machine Interaction
• +۳ مورد دیگر

Prof. Ingo Grass is a Full Professor at the University of Hohenheim, heading the Department of Ecology of Tropical Agricultural Systems (490f) and serving as Deputy Head of the Department of Crop Production in the Tropics and Subtropics (490e). He is Director of the Hans Ruthenberg Institute for Tropical Agricultural Sciences and an Equal Opportunities Officer within the Faculty of Agricultural Sciences. His research focuses on agroecology, tropical agricultural systems, and biodiversity conservation in human-modified landscapes. Education: PhD in Biology from Philipps-Universität Marburg (2014). PostDoc at University of Göttingen (2014-2019) before moving to Hohenheim. Research Interests: Agroecosystem biodiversity, pollination ecology, land-use impacts on ecosystems, and sustainable farming practices. His work emphasizes reconciling productivity with biodiversity preservation, with a focus on tropical regions and temperate grasslands. Articles Trends: Recent work explores pesticide impacts on non-target insects, agroecological strategies to enhance pollination and biocontrol, and biodiversity benefits of diversified crops. He frequently collaborates on global studies involving tropical landscapes and urban agriculture dynamics. Awards: Maria Sibylla Merian Award (2013), Teaching Excellence Awards (2016 & 2018). Labs/Teams: Leads interdisciplinary teams in tropical agroecology, collaborating with institutes in Indonesia, Madagascar, and South Africa.

• Agricultural Ecology
• Biodiversity Conservation
• Agroecology
• +۴ مورد دیگر

Prof. Dr. Matthias Krauledat is a faculty member at Hochschule Rhein-Waal , specifically within the Faculty of Technology and Bionics . His academic career spans both theoretical research and industrial application, with a focus on Machine Learning and Brain-Computer Interfaces . After completing his PhD in Electrical Engineering/Computer Science at Technische Universität Berlin , he has contributed significantly to the advancement of EEG-based communication systems and neural signal processing methodologies. Born in Essen, Germany Studied Mathematics with a minor in Computer Science at University of Münster/Oxford Doctoral research at TU Berlin on Brain-Computer Interfaces Industrial experience at Henkel AG & DMT GmbH Research Interests focus on Machine Learning applications in Neuroscience and Biomedical Engineering , specifically Brain-Computer Interfaces , EEG Signal Processing , and Adaptive Classification Systems . His work explores how algorithms can be developed to enable self-learning computers to solve complex tasks involving neural data interpretation and prediction for previously unseen data in clinical and technological contexts. Publications demonstrate a consistent contribution to Neuroscience and Machine Learning fields, with particular emphasis on Brain-Computer Interface systems from 2004 through 2009. His research has focused on reducing training requirements, improving signal processing accuracy, and developing novel interaction paradigms like the Hex-o-Spell mental typewriter while addressing statistical challenges like covariate shift in neural data analysis. Professional Experience includes academic research at TU Berlin's Intelligent Data Analysis group, industrial software development roles at Henkel AG's Scientific Computing department, and TÜV Nord Group's Optical Metrology and Machine Diagnostics divisions. He maintains active research connections through collaborative publications with leading experts in the field.

• Machine Learning
• Brain-Computer Interface
• Signal Processing
• +۳ مورد دیگر

Leif Sörensen is a researcher at the University of Hildesheim , affiliated with the Institute of Business Administration and Business Informatics within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science . His work focuses on operations research and digital transformation in public transport systems, particularly examining flexible transport models, agent-based simulations, and geoinformation system integration. Core Affiliations Researcher (since 2023) - HAWK Hochschule für Angewandte Wissenschaft und Kunst, Holzminden Doctoral Researcher - Institute of Business Administration and Business Informatics, University of Hildesheim Former Student Assistant - TU Dresden and Max Planck Institute for Self-Organization Research Focus: Sörensen's research bridges transport policy , agent-based modeling , and data analytics . He investigates how digital transformation can enhance rural mobility through flexible public transport systems , with emphasis on contractual incentives for drivers and stochastic behavior prediction . His work spans both developed and developing economies , particularly analyzing informal transit systems in South Africa. Publication Trends: Recent articles demonstrate a strong focus on operations research in transport contexts, with 7/9 publications involving agent-based simulations and DRT (Demand-Responsive Transport) . Keywords cluster around urban mobility , digital transformation , and transport resilience , while sub-fields reveal expertise in dynamic routing algorithms , passenger acceptance metrics , and GIS-integrated transport planning . Key Projects Co-author on European Commission-funded transport safety modeling Participant in Smart Hybrid research initiative (44 co-publications) Contributor to International Transportation Economics Association conferences Academic Background: Holds degrees in International Economics (University of Göttingen) and International Business and Development (University of Bayreuth). Completed internships at UNECE Geneva and KfW Entwicklungsbank Pretoria , with fieldwork in South Africa and Japan .

• Operations Research
• Public Transport Systems
• Digital Transformation
• +۳ مورد دیگر

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +۵ مورد دیگر

Prof. Dr. Hans-Peter Piepho is a faculty member at the University of Hohenheim , serving as Director of Biostatistics (340c) within the Institute of Crop Science . His research focuses on advanced statistical methods for plant sciences, including genomic prediction, spatial modeling of field trials, and network meta-analysis. Key research areas: Genotype-environment interaction, mixed model applications, and experimental design in agriculture. Collaborations span plant breeding, cultivar testing, and environmental stress analysis. His group emphasizes mixed model procedures as the backbone of methodological innovation. Recent publications highlight climate change adaptation, nitrogen optimization, and agroforestry yield dynamics. Contact: piepho@uni-hohenheim.de | Fruwirthstr. 23, Institute Building, 211, Stuttgart, Germany

• Statistical Methods in Plant Sciences
• Genomic Prediction
• Spatial Modeling for Field Trials
• +۵ مورد دیگر

Prof. Heidi Webber is a leading agricultural scientist at the Leibniz Centre for Agricultural Landscape Research (ZALF), serving as Co-Head of Program Area 3 'Agricultural Landscape Systems' and Head of the 'Integrated Crop Production Systems Analysis' working group. Her research focuses on climate risk assessment, crop stress modeling, and sustainable agronomic systems. She holds a Diplom-Agraringenieurin degree and has extensive experience in interdisciplinary studies combining biophysical and socio-economic analyses. Her expertise includes modeling plant growth under abiotic stresses and developing resource-efficient cultivation strategies. Notable contributions involve the AgMIP-Wheat initiative, high-yielding trait experiments, and climate-resilient crop systems in diverse regions like West Africa, South Korea, and Europe. She co-leads international projects addressing climate change impacts on agriculture and leads modeling efforts for crop diversification and adaptation strategies. Key research themes include: Climate risk assessment frameworks Multi-model ensemble approaches for crop yield prediction Abiotic stress tolerance mechanisms in cereals Climate-smart agricultural practices Agroecological transition in smallholder farming systems Her work bridges field experiments with advanced computational models, emphasizing data-driven solutions for sustainable intensification. Current projects explore index-based crop insurance, soil carbon dynamics, and the transformation of farming systems toward silicon-enhanced resilience.

• Climate Risk Assessment
• Crop Modeling
• Plant Stress Physiology
• +۳ مورد دیگر

Dr. Karin M. Bausenhart is a researcher in the Cognition and Perception research group within the Department of Psychology at the Faculty of Science, University of Tübingen. She has been working as a Postdoctoral Research Assistant since 2011 and currently serves as Project Coordinator for the DFG Research Unit "Modal and Amodal Cognition" (FOR 2718) since 2020. Dr. Bausenhart received her PhD in Psychology from the University of Tübingen in 2009, following her Masters degree (Diplom) in Psychology from the same institution in 1999. Her research focuses on several key areas in cognitive psychology and time perception. She investigates how distance affects mental representations, examining whether we think differently about events in the present versus those in the future or distant locations. She also studies mechanisms of stimulus discrimination, particularly how the order of stimuli presentation affects our ability to compare them, with a focus on the concept of a dynamically updated internal reference. Another major area of her work explores how temporal information from different sensory modalities is processed and combined to form a coherent perception of time, despite the absence of a dedicated sensory system for time processing. Additionally, she researches temporal preparation - how warning signals can improve reaction times - and dual-task processing limitations. Dr. Bausenhart's publication record reveals a consistent focus on time perception, multisensory integration, and cognitive mechanisms. Her work often employs experimental psychology methods to investigate fundamental questions about how humans process temporal information across different contexts and sensory modalities. A significant portion of her research examines order effects in stimulus discrimination, suggesting these effects may stem from an internal reference that dynamically updates during experimental tasks. Her recent work has expanded into examining how mental representation varies with psychological distance, connecting temporal cognition with broader cognitive frameworks. Third price at the dissertation contest of the German Psychological Society (DGPS), section Cognitive Psychology (2011) Dissertation Award of the Faculty of Science, University of Tübingen (2010) Dr. Bausenhart has secured multiple research grants from the German Research Foundation (DFG), demonstrating the significance of her work in the field. Her projects have investigated mechanisms of stimulus discrimination, temporal ventriloquism effects, and interferences in stimulus classification. These grants have supported her research from 2010 through 2020, indicating sustained recognition of her scientific contributions. As part of the Cognition and Perception research group, Dr. Bausenhart collaborates with colleagues studying modal and amodal cognition. Her current role as Project Coordinator for the DFG Research Unit "Modal and Amodal Cognition" places her at the center of a significant interdisciplinary effort examining how cognitive processes function both within specific sensory modalities and across modalities.

• Distance-Dependency of Mental Representation
• Mechanisms of Stimulus Discrimination
• Multisensory Integration of Temporal Information
• +۴ مورد دیگر

Dr. Sebastian O. Schneider is a Max Planck Research Group Leader (non-tenured) at the Max Planck Institute for Research on Collective Goods , leading the Behavioral Economics research group. His work bridges behavioral and experimental economics, behavioral finance, and data science for causal behavioral research. PhD in Economics (2017), University of Goettingen MSc & BSc in Mathematics in Business and Economics (2014 & 2011), University of Mannheim His research focuses on behavioral economics , experimental design , and household finance , with applications in health economics , development economics , and environmental economics . Recent publications explore social norms , political polarization , behavioral interventions during the Covid-19 pandemic , and higher-order risk preferences . He has developed the minMSE and MinMSE software packages for treatment assignment in experiments. Collaborations include institutions like the University of Amsterdam and Jinan University .

• Behavioral Economics
• Experimental Economics
• Household Finance
• +۵ مورد دیگر

Dr. Detlef Lazik is a Geophysicist and Head of the Lab for Experimental Simulation at the Helmholtz Centre for Environmental Research (UFZ) since 1992. His work focuses on membrane-based gas sensing in heterogeneous systems like soil and aquifers, with applications in climate research and subsurface safety monitoring . Key research areas include: Soil respiration and CO2 transport dynamics Gas phase formation in porous media Development of in situ gas detection systems Multi-scale moisture measurement techniques His recent publications (2016–2022) emphasize linear soil gas sensors for monitoring methane, CO2, and humidity in complex environments, with methodological advancements in tomographic reconstruction , inverse calibration , and field-scale validation . Contact: detlef.lazik@ufz.de | Phone: +49 (0) 341 6025 4209

• Environmental Physics
• Hydrogeology
• Soil Ecology
• +۳ مورد دیگر

Sebastian Schneider is a Max Planck Research Group Leader (non-tenured) at the Max Planck Institute for Research on Collective Goods , where he heads the independent research group on Behavioral Economics . He combines experimental methods with data science to study decision-making, risk preferences, and behavioral interventions in diverse contexts. PhD in Economics from Georg-August-University Goettingen (2017) MSc and BSc in Mathematics in Business and Economics from University of Mannheim (2014 and 2011) Research Interests: Behavioral economics, experimental economics, household finance, health economics, development economics, and environmental economics. He develops causal frameworks for behavioral research and created the MinMSE method for treatment assignment, available as Stata and R packages . Publication Trends: Recent work focuses on default options and information avoidance , status quo bias in decision-making, and behavioral responses to health and development interventions , including a phone-based information campaign during the pandemic in Bangladesh. His experimental contributions span risk preferences , saving behavior , and incentive structures . Software Development: Created widely used tools for treatment assignment: Stata minmse package R minMSE package

• Behavioral Economics
• Experimental Economics
• Household Finance
• +۷ مورد دیگر

Dr. Charles Atanga Adongo serves as a Senior Lecturer in the Department of Hospitality and Tourism Management at the University of Cape Coast, Ghana, actively contributing to academic research and international policy initiatives. His work bridges hospitality management with critical environmental challenges, particularly in fisheries governance and coastal resilience across Africa. His research interests span Tourism Management, Hospitality Management, Fisheries Management, Blue Economy development, and Coastal Resilience strategies. He investigates intersections between socio-economic factors and environmental sustainability, including workplace spirituality in hotels, vaccine uptake dynamics in vulnerable populations, and livelihood resilience in small-scale fisheries. His methodology often combines quantitative policy analysis with community-based field studies across Ghana and the Gulf of Guinea region. Recent publications (2022-2025) reveal three dominant thematic clusters: 1) Tourism-health interfaces (vaccine confidence, mental health in hospitality); 2) Blue Economy transitions (fisheries governance, coastal adaptation); and 3) Sustainable development trade-offs (SDG synergies, impact investing). His work consistently applies African contextual perspectives to global challenges, with strong emphasis on policy implementation in Sub-Saharan Africa. Dr. Adongo leads and participates in high-impact consultancy projects funded by major international bodies including the World Bank, USAID, African Union, and Conservation International. Key engagements involve developing Ghana's National Blue Economy Strategy, reviewing fisheries legislation for 15 AU member states, and designing marine litter management frameworks for West Africa. His grant portfolio demonstrates exceptional reach across environmental, health, and economic development sectors. He maintains active collaborations with institutions including the University of British Columbia, University of Waterloo, and Association of African Universities, frequently facilitating capacity-building workshops on research impact and policy engagement. His recent Professorial Inaugural Lecture at UCC established the conceptual foundation for transformative ocean governance in Africa.

• Tourism Management
• Hospitality Management
• Fisheries Management
• +۳ مورد دیگر

Dr. Heiko Bülow is a Researcher at Jacobs University Bremen, affiliated with the Department of Electrical Engineering & Computer Science. His work focuses on multidimensional signal processing, autonomous systems, and robotics, with emphasis on underwater mapping and spectral registration techniques. He holds a PhD from Jacobs University Bremen and has over 8 years of industrial R&D experience in sonar signal processing. Education: PhD in Electrical Engineering & Computer Science, Jacobs University Bremen M.Phil, University of Glamorgan Diapoma (FH), University of Applied Sciences Braunschweig/Wolfenbüttel Research interests include spectral registration algorithms, machine vision, and pattern recognition applied to robotics. He contributes to EU projects like Co3-AUVs and MORPH, advancing underwater and aerial robotic systems. His publications emphasize robust data registration methods for noisy environments and autonomous navigation. Publications reflect strong focus on 3D mapping (e.g., spectral registration of sonar/range data), UAV photomapping, and gesture recognition for human-robot interfaces. His work bridges theoretical signal processing with practical robotic applications in underwater and aerial domains. Advising/grants: Not explicitly listed in available texts, but his involvement in EU projects indicates collaborative research funding. Labs/teams: Works within robotics and autonomous systems groups at Jacobs University, likely contributing to underwater robotics and SLAM systems.

• Multidimensional Signal Processing
• Spectral Registration
• Array Processing
• +۵ مورد دیگر

Julian C. Rayner is Professor and Director of the Cambridge Institute for Medical Research (CIMR) at the University of Cambridge. He is also Honorary Faculty at the Wellcome Sanger Institute, where he previously served as Senior Group Leader (2008–2020) and Director of Wellcome Connecting Science (2014–2024). His research deciphers host–parasite interactions in malaria with the goal of identifying new drug and vaccine targets. Education & Career Path: Undergraduate studies in New Zealand PhD with Dr Hugh Pelham, MRC Laboratory of Molecular Biology, Cambridge University Post-doctoral fellow, Centers for Disease Control and Prevention, Atlanta, USA (1998) Assistant Professor, University of Alabama at Birmingham, USA Group Leader → Senior Group Leader, Wellcome Sanger Institute (2008–2020) Director, Wellcome Genome Campus Connecting Science (2014–2024) Director, Cambridge Institute for Medical Research, University of Cambridge (2019–present) Research Focus Rayner’s laboratory investigates how Plasmodium parasites recognise and invade human red blood cells. Combining large-scale genetic screens, proteomics, and genomics, the team has: Identified essential invasion complexes (e.g., RH5-basigin) now entering human vaccine trials. Performed the first genome-scale mutagenesis screens in P. falciparum to prioritise drug targets. Used primate malaria parasites to uncover the evolutionary origins of human Plasmodium species. Scientific Awards & Recognition CA Wright Medal for Parasitology, British Society for Parasitology Elected President, American Council for Molecular, Cellular and Immunoparasitology, ASTMH Collaborations & Capacity Building Rayner co-leads the Malaria Genomic Epidemiology Network (MalariaGEN) and the Plasmodium Genetic Modification Project (PlasmoGEM), fostering partnerships in Kenya, Ghana, India, Colombia and beyond. He has mentored numerous PhD students and post-docs, many from malaria-endemic countries, and champions public engagement through art, literature and global training programmes. Laboratory & Platforms Rayner Group at CIMR – core malaria biology and translational research Wellcome Connecting Science – learning, training and public engagement in genomics PlasmoGEM – community resource for large-scale Plasmodium genetics MalariaGEN – genomic epidemiology consortium spanning >20 countries

• Malaria
• Host–parasite interactions
• Plasmodium biology
• +۵ مورد دیگر

Dr. Christopher Monk is a Researcher at the Helmholtz Centre for Ocean Research Kiel (GEOMAR) , leading the Marine Behavioural Ecology group. His work spans fish behavioral ecology , movement ecology , and social-ecological systems , focusing on understanding marine ecosystems through high-resolution behavioral data. Expertise in acoustic telemetry for tracking fish behavior Develops interactive 3D visualization tools for movement analysis Active in interdisciplinary networks like sARDINE and DTOTrack His research emphasizes the impact of anthropogenic stressors on marine life, including fisheries-induced evolution and climate change effects. Current projects integrate European tracking data into digital twin platforms for North Sea movement modeling. Key Collaborations: iDiv Synthesis Centre (sARDINE project) Sustainable Blue Economy Partnership (DTOTrack) European Tracking Network

• Marine Behavioural Ecology
• Movement Ecology
• Fisheries Science
• +۴ مورد دیگر