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نمایش ۱-۱۵ از ۲۴۳ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Markus Schwarzländerمشاهده پروفایل

استاد

University of MünsterGermany

Prof. Dr. Markus Schwarzländer leads the Arbeitsgruppe for Plant Energy Biology at the Institute for Plant Biology and Biotechnology (WWU Münster) . His research focuses on mitochondrial physiology, redox signaling, and biosensor development in Arabidopsis thaliana and other plant species, integrating molecular biology with systems-level analyses to understand energy regulation. Key Research Areas: Mitochondrial-NAD(P)H dynamics Redox-regulated signaling networks Organelle communication Stress-adaptive metabolism Recent work highlights Golgi-localized mitochondrial uncoupling proteins , chloroplast-mitochondria redox coupling , and mitochondrial calcium uniporter function . His group employs cutting-edge fluorescent biosensors and proteomic approaches to dissect energy physiology. Students benefit from hands-on training in bioimaging , metabolic modeling , and organelle biology through iMoPLANT and Life Sciences programs. Scientific Awards: DAAD Fellowship (2019) As an active member of the Faculty of Biology , he collaborates with international institutions including University of São Paulo , CEA France , and Siberian Institute of Plant Physiology , while maintaining a robust publication record in top journals like Plant Cell and Nature . His teaching emphasizes integrative plant sciences and advanced biosensing techniques for B.Sc. and M.Sc. students.

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Frank-Martin Belzمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Dr. Frank-Martin Belz is a full professor of corporate sustainability at the TUM School of Management and Director of the TUM SEED Center, a global interdisciplinary research hub. His career includes studies in business administration at the University of Mannheim (1990), followed by doctoral and post-doctoral research at the University of St. Gallen in Switzerland. He has conducted extensive research stays in Sweden, the USA, Canada, and Finland. His research focuses on sustainable entrepreneurship, sustainability marketing, and community-based enterprise creation. He emphasizes integrating social identity theory and structuration theory into entrepreneurial processes, particularly in environmental and social contexts. His work bridges academic theory with practical applications, including innovative approaches to consumer integration in product development and sustainability-driven marketing strategies. Key achievements include the award-winning textbook "Sustainability Marketing: A Global Perspective" (2010) and influential publications on sustainable entrepreneurship models and community-based enterprises. He actively promotes cross-sector collaboration through his leadership at the TUM SEED Center, fostering global partnerships in sustainability research and education.

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Florian Jeltschمشاهده پروفایل

استاد

University of PotsdamGermany

Prof. Dr. Florian Jeltsch leads the Plant Ecology and Nature Conservation research group at the Institute of Biology and Biochemistry, University of Potsdam. His work spans multiple ecological domains with a focus on understanding biodiversity patterns and processes in changing environments. His research group investigates community ecology across various landscapes including grasslands, agricultural systems, and drylands. Dr. Jeltsch's research interests encompass Community Ecology of Grasslands and Agricultural Landscapes, Community Ecology of Drylands, Biodiversity in Heterogeneous Environments, Movement Ecology and Biodiversity Dynamics, and Applied Regional Conservation. His work integrates theoretical and empirical approaches to address pressing ecological questions related to global change. He has been instrumental in developing and applying individual-based models to understand complex ecological systems. Analysis of Dr. Jeltsch's recent publications reveals a strong focus on individual-based ecological modeling, movement ecology, and the impacts of landscape heterogeneity on biodiversity. His work spans from theoretical foundations to practical conservation applications, with particular emphasis on savanna ecosystems, habitat fragmentation effects, and climate change impacts. The research demonstrates integration of multiple scales from individual energetics to community dynamics. Dr. Jeltsch has mentored numerous doctoral students and postdoctoral researchers who have gone on to establish their own research careers. His group has been involved in multiple collaborative projects including BioHet, GrassYear, BioMove, and ORYCS, addressing biodiversity conservation in heterogeneous environments. The Plant Ecology and Nature Conservation group maintains active research stations including the Gülpe Research Station, providing field-based research opportunities. The group's work bridges theoretical ecology with practical conservation applications, particularly in the context of global environmental change.

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Nicole Megowمشاهده پروفایل

استاد

University of BremenGermany

Nicole Megow is a Professor holding the chair for Combinatorial Optimization in the Faculty of Mathematics and Computer Science at the University of Bremen since 2016. She is affiliated with several research clusters including Humans on Mars Initiative, Minds, Media, Machines, and Dynamics in Logistics. Her academic journey includes positions at TU Berlin, Max Planck Institute for Informatics, TU Darmstadt, and TU Munich. Professor Megow's research focuses on mathematical optimization, algorithm design and analysis, and operations research. Her specific interests span combinatorial and discrete optimization, efficient algorithms, scheduling theory, resource allocation, packing problems, network design, routing, and uncertainty models including online, stochastic, robust, and explorable approaches. Her work bridges theoretical foundations with practical applications in logistics and decision-making systems. Her recent publications demonstrate a strong trend toward integrating prediction models with traditional optimization frameworks, particularly in scheduling and matching problems. She has made significant contributions to understanding the role of uncertainty in optimization problems, developing algorithms that work effectively with incomplete or uncertain information. Her work spans multiple prestigious venues including Mathematical Programming, Algorithmica, SODA, STACS, and NeurIPS. Dissertation Award by the German Operations Research Society (2007) Berlin Science Award for Young Researchers (2013) Heinz Maier-Leibnitz Prize (2013) Listed among Germany's top 40 researchers below 40 (Capital, 2014, 2015) Professor Megow actively supervises PhD students and postdocs, including Max Stahlberg, Joes Biburger, Sarah Morell, Bart Zondervan, Zhenwei Liu, and Alexander Lindermayr. She serves on numerous program committees for major conferences including SODA, IPCO, and STOC, and holds editorial positions for several prestigious journals. Her current research projects include Optimization under Explorable Uncertainty (DFG funded), How robots learn how to use structure (seed grant from MMM research cluster), and Scheduling Invasive Multicore Programs Under Uncertainty (within TCRC 89).

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Walter Timo de Vriesمشاهده پروفایل

استاد

Technical University of MunichGermany

Professor Walter Timo de Vries is a faculty member at the Technical University of Munich (TUM) , holding the Chair of Land Management and Land Development within the Department of Aerospace and Geodesy, TUM School of Engineering and Design . His research focuses on intelligent and responsible land management , urban and rural development , spatial justice , and the development of a Human Geodesy framework. A graduate of TU Delft (1988) and Rotterdam (PhD), he has led international projects across Asia, Africa, and South America. At TUM, he directs the Master's and PhD Programs in Land Management , serves as Dean of Geodesy , and leads TUM.Africa . Member of the German Geodetic Commission Member of the Bavarian Academy for Rural Development Academic Coordinator of TUM SEED Center Research Interests span responsible land governance , land tenure security , land consolidation , and geospatial methods for sustainable development. His recent work examines the Water-Energy-Food Nexus and digital twins in collaborative planning. He has supervised over 20 PhD and Master’s students on topics like spatial justice , nomic pastoral tenure , and smart land use . Publications address blockchain in land administration , spatial inequalities , and land policy reforms across global contexts.

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Arndt Feuerbacherمشاهده پروفایل

استاد

University of HohenheimGermany

Prof. Arndt Feuerbacher is a Junior-Professor (W1) at the University of Hohenheim, leading the Ecological-Economic Policy Modeling Research Group within the Institute of Agricultural Policy and Markets. He specializes in analyzing agricultural and environmental policies, with a focus on sustainability, biodiversity, and computable general equilibrium (CGE) modeling. His research explores policy impacts on rural livelihoods, land-use transitions, and climate change adaptation. Education: PhD in Agricultural Economics (Humboldt University of Berlin, 2019) MSc in Agricultural Economics (University of Hohenheim, 2014) MBA in Finance (Portland State University, 2010) Research Interests: Policy modeling for biodiversity-friendly agriculture Economic impacts of pollinator declines and climate change Organic farming and agro-ecological transitions Agrivoltaic systems and dual land-use efficiency Awards & Grants: Recipient of the 2022 Best Paper Prize at GEWISOLA Lead investigator for the BMBF-funded BEATLE project (€1.2M) Joachim Herz Foundation Fellowship (2020) Teaching & Service: Developed the top-ranked 'Advanced Policy Analysis Modeling' course Serves on the University of Hohenheim's Senate Research Committee Supervised multiple master's theses and led three PhD candidates Professional Activities: World Bank consultant on green growth and environmental policy Organized international workshops in Bhutan and Germany Referee for journals including Nature Communications and Food Policy

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Katja Wehnerمشاهده پروفایل

پژوهشگر

University of GreifswaldGermany

Dr. Katja Wehner is a Postdoctoral Researcher in the Faculty of Biology at the Technical University of Darmstadt, Germany, specializing in soil arthropod ecology with a focus on oribatid mite communities across forest microhabitats including litter, soil, dead wood, and tree bark. Her work examines their role in forest food webs and responses to environmental stressors. Education: PhD in Biology, Technical University of Darmstadt (2009). Dissertation: 'Parthenogenesis and Sexuality in Oribatid Mites' Diploma in Biology, Technical University of Darmstadt (2004). Thesis: 'Variability at the hsp82-locus of the parthenogenetic oribatid mite Platynothrus peltifer' Research Focus: Dr. Wehner investigates biotic interactions and acarological dynamics in Central European forests, emphasizing how land-use intensity, drought, and structural factors shape oribatid mite biodiversity. Her work integrates community ecology, soil science, and microhabitat specialization to understand ecosystem resilience and food-web interactions, with particular attention to parthenogenetic versus sexual reproduction strategies in microarthropods. Publication Trends: Recent publications (2018-2022) reveal a strong emphasis on anthropogenic impacts, including land-use change effects on aboveground-belowground linkages, drought/storm damage consequences for soil communities, and microhabitat-driven variations in mite sex ratios and seasonal dynamics. Her collaborative work in journals like Nature Communications and Global Ecology and Conservation demonstrates methodological integration of field surveys, controlled experiments, and multi-taxon analyses. Collaborative Networks: Dr. Wehner actively participates in large-scale ecological initiatives including the Biodiversity Exploratories project, collaborating with researchers from institutions like the Technical University of Munich and University of Würzburg on cross-taxa biodiversity studies. Her co-authorship on multi-investigator papers indicates strong engagement with Germany's ecological research infrastructure.

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Thomas Spallekمشاهده پروفایل

پژوهشگر

University of GöttingenGermany

Dr. Thomas Spallek is a Junior Group Leader leading the Plant Biotic Interactions Group at Georg-August University Göttingen, Germany. His research focuses on functional genetics of parasitic plants, interspecific signaling, and haustoria formation mechanisms. Previously, he held roles as Project Leader (2019–2022) and Postdoc (2018–2019) at the University of Hohenheim, with postdoctoral experience at RIKEN (Japan) and The Sainsbury Laboratory (UK). Education: PhD in Plant Biology (Max Planck Institute, Cologne, 2011), Diploma in Biology (University of Konstanz, 2008). Research Interests: Parasitic plant genetics and host interactions Cytokinin signaling in plant-pathogen relationships Cellular and molecular mechanisms of haustorium development Publications span plant-parasite signaling, hormonal regulation, and genomic studies of parasitic weeds. Notable collaborations include work on Striga asiatica genome analysis and cytokinin-driven virulence factors. He is affiliated with the International Research Training Group 2172 - PRoTECT and coordinates the Plant Biotic Interactions research group. His work integrates molecular genetics, bioimaging, and computational tools to dissect plant defense and parasitic strategies.

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Tim Rollenskeمشاهده پروفایل

استاد

Rhenish Friedrich Wilhelm University of BonnGermany

Prof. Dr. Tim Rollenske is a faculty member and principal investigator at the University of Bonn , affiliated with the Faculty of Medicine and the Institute of Immunology . He leads the Tim Rollenske Laboratory , focusing on mucosal immunology and B cell responses to the microbiota. His research is supported by prestigious grants such as the Emmy Noether DFG Grant and the ImmunoSensation 2 Seed Funding. His research interests include: Mucosal Immunology and IgA function B cell biology and antibody repertoire Host-microbe interactions and microbiota modulation Monoclonal antibody discovery and therapeutic potential Analysis of his recent publications (2018–2025) reveals a strong focus on the role of secretory IgA in shaping microbial communities, B cell development in early life, and cross-reactive antibody responses in infection and immunity. His work integrates human samples, gnotobiotic mouse models, and single-cell BCR analysis. Scientific awards include: Fritz and Ursula Melchers Prize (2022) ImmunoSensation 2 Seed Funding Prize (2023) Travel grant and poster prize at IMMEI Retreat (2024) He mentors several PhD students, including Jonathan Schreiber, Sophie Burkhalter, Antonia Geisse Anguita, and Chris Johann Göschel. His lab is part of a collaborative network within the University of Bonn’s immunology research ecosystem, including the Christian Kurts, Natalio Garbi, and Veronika Lukacs-Kornek laboratories. He has received funding from DFG, Excellence Cluster ImmunoSensation 2, and SFB 1454 Metaflammation. His laboratory investigates the molecular mechanisms by which B cells and antibodies maintain mutualistic host-microbe relationships at mucosal surfaces, with long-term goals of improving mucosal vaccination and developing monoclonal antibody therapies.

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Friedrich Longinمشاهده پروفایل

استاد مدعو

University of HohenheimGermany

Dr. Friedrich Longin is an Adjunct Professor and Group Leader of the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, Germany. He leads research on wheat breeding, alternative wheat varieties, and increasing biodiversity in wheat cultivation. University of Hohenheim: Habilitation in Plant Breeding (2016), Adjunct Professor (2019) University of Hohenheim and China Agricultural University in Beijing: Doctorate in a German-Chinese graduate program University of Hohenheim: Studied agricultural biology, specializing in biotechnology and plant breeding Dr. Longin's research focuses on breeding alternative wheat varieties, pre-breeding in wheat, processing and nutritional quality of wheat varieties, nutrient use efficiency in wheat species, and increasing biodiversity and sustainability in wheat cultivation. His breeding research into alternative crops has led to the resurgence of traditional varieties such as spelt, emmer, and einkorn. His work bridges fundamental plant breeding science with practical applications for sustainable agriculture and food systems. He has made significant contributions to understanding the genetic basis of wheat quality traits, disease resistance, and nutritional properties. His recent publications demonstrate a strong focus on genomics-based approaches to wheat improvement, with particular attention to grain quality, nutritional properties, disease resistance, and the relationship between wheat varieties and human health. There is a clear trend toward integrating molecular breeding techniques with traditional approaches, and an increasing emphasis on understanding the health implications of wheat consumption, particularly regarding inflammatory responses and food sensitivities. Active participant in numerous national and international research projects related to wheat breeding and genetic resources Regularly invited to speak at national and international conferences on wheat breeding and sustainable agriculture Volunteers on several professional committees related to plant breeding and agricultural research Dr. Longin heads the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, which focuses on developing improved wheat varieties with enhanced nutritional quality, disease resistance, and environmental adaptability. His team works closely with farmers, millers, and bakers to ensure that new varieties meet the needs of the entire production chain from farm to fork.

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Stefan Sieberمشاهده پروفایل

استاد

Leibniz Centre for Agricultural Landscape ResearchGermany

Prof. Stefan Sieber is a Professor at the Leibniz Centre for Agricultural Landscape Research (ZALF), leading the 'Sustainable Land Use in Developing Countries' working group under Program Area 2 'Land Use and Governance'. His expertise spans food security, climate change adaptation, bioenergy systems, and agricultural policy. He holds a doctoral degree (Dr. agr. habil.) from Humboldt University of Berlin. His work emphasizes decision support systems for sustainability, policy coordination, and knowledge management in international development contexts. Research interests focus on interdisciplinary approaches to sustainable land use, integrating socioeconomic factors with ecological resilience. Recent projects include analyzing wildfire impacts in Cameroon, stakeholder dynamics in forest landscape restoration (FLR), and policy interventions for deforestation-free cocoa production in Côte d'Ivoire. He coordinates global research initiatives, advising on climate-smart agricultural practices and environmental governance frameworks. Publications highlight FLR adoption in Togo, climate change impacts on crop yields in Kenya, and energy transitions in Zambia. His work bridges academic research with practical policy solutions, particularly in vulnerable regions facing climate and development challenges. Collaborations span Sub-Saharan Africa, Southeast Asia, and Latin America, emphasizing participatory methodologies and equitable resource management.

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Karl Schmidمشاهده پروفایل

استاد

University of HohenheimGermany

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

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Jinqiu Yangمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. Her research focuses on improving software reliability and quality assurance, particularly in the context of machine learning systems and autonomous vehicles. She leads active research projects in software testing, automated program repair, and mining software repositories, with strong connections to both academic and industrial applications. Her research interests span software reliability, quality assurance of machine learning systems including autonomous vehicles, software testing, automated program repair, text analytics of software artifacts, and mining software repositories. She has developed novel approaches for testing deep learning libraries, evaluating robustness in autonomous driving systems, and tracking the evolution of static code warnings. Her work bridges traditional software engineering with emerging challenges in AI systems, addressing critical issues of reliability and safety in complex software environments. Yang's recent publications (2021-2025) demonstrate a clear trajectory toward AI/ML system reliability, with increasing focus on autonomous vehicles, concept drift detection, and security aspects of large language models. Her work spans both theoretical foundations and practical applications, often involving empirical studies of real-world systems and development of practical tools to address identified challenges. ACM SIGSOFT Distinguished Paper Award Dr. Yang actively mentors graduate students and is currently recruiting Master's and PhD candidates. She has secured significant research funding including NSERC Discovery Grants (2019-2025), Gina Cody Research and Innovation Fellowship (2024-2026), and participation in the NSERC CREATE Program SE4AI (2021-2026). Her research is supported by multiple grants including NOVA – FRQNT-NSERC PROGRAM (2024-2027) and Volt-Age Seed Grant (2024-2026). She leads research in the O-RISA Lab at Concordia University, focusing on reliability and security aspects of intelligent software systems. Her team collaborates with industry partners including IBM, where she previously worked at IBM Watson Research Lab and IBM CAS, bringing practical experience to her academic research.

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Dongdong Sheمشاهده پروفایل

استادیار

Max Planck Institute for Security and PrivacyGermany

Dongdong She is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). His research focuses on the intersection of security and machine learning, applying data-driven approaches to solve security problems. He has established himself as a prominent researcher in software security and fuzzing techniques with publications in top conferences including IEEE S&P, CCS, and USENIX Security. Dr. She received his Ph.D. from Columbia University's Department of Computer Science, where he worked with Professors Suman Jana and Baishakhi Ray. Prior to Columbia, he conducted research with Zhiyun Qian on Android Security at the University of California, Riverside. He completed his undergraduate studies at Huazhong University of Science and Technology. His research spans two main areas: LLM Security, which investigates the security of large language models and LLM-powered systems, and LLM for Traditional Security, which leverages LLMs to solve traditional security problems such as program analysis and vulnerability discovery. His work often combines machine learning techniques with traditional security approaches to develop innovative solutions for software security challenges. Dr. She's publication record shows a consistent evolution from foundational work in neural network-assisted fuzzing (NEUZZ) toward more advanced applications in LLM security and program analysis, demonstrating both theoretical rigor and practical impact with techniques adopted by the security community. Among his notable achievements: Distinguished Paper Award at ISSTA 2025 Distinguished Paper Award at IEEE S&P 2025 Best Paper Award Runner-Up at CCS 2022 Second Place in SBFT 2024 Fuzzing Competition Finalist in 2019 NYU CSAW Applied Research Competition Dr. She currently advises several Ph.D. students including Yuchong Xie, Shuangjie Yao, and Qiao Zhang, who began their studies in Fall 2024. He serves on program committees for major conferences including ASE 2025, where he is a PC Member for the Research Papers track. His research is supported by grants enabling his team to pursue innovative approaches at the intersection of machine learning and security. His research group maintains active collaborations with institutions worldwide and contributes to open-source security tools that are widely used in both academia and industry, with a particular focus on developing advanced techniques for software security analysis through the application of machine learning.

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Hamid Zargariaslمشاهده پروفایل

پژوهشگر

Brandenburg University of Technology Cottbus-SenftenbergGermany

Dr. Hamid Zargariasl is a Researcher in the Computer Engineering Department at BTU Cottbus-Senftenberg. His work focuses on IoT systems, RFID technology, social network analysis, and distributed computing. He leads the UBICO Team and contributes to the Computer Engineering Group, exploring interdisciplinary applications of telecommunications and sensor networks. His research integrates theoretical frameworks with practical implementations, addressing challenges in smart city infrastructure, healthcare systems, and educational technology. Key research areas include optimizing RFID and sensor performance, analyzing social object interactions in IoT networks, and developing protocols for distributed computing. His experimental studies bridge academic performance metrics with mobile social network dynamics, and he has pioneered methodologies for network integration and centrality analysis in evolving systems. Publications span 15 years (2009–2024), emphasizing real-world data analysis and system optimization. Notable work includes enhancing digital thread functionality in aerospace engineering and evaluating smart parking sensor technologies. His contributions inform both technical systems and socio-economic policy recommendations. Dr. Zargariasl collaborates within interdisciplinary teams, contributing to the BTU's research initiatives while maintaining active engagement in the academic community through lectures and student mentorship.

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