برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۷۳۶-۷۵۰ از ۲٬۳۰۲ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Mahboobeh Zangiabady is a Lecturer at the Digital Society Institute, specializing in Design and Analysis of Communication Systems . Her research focuses on Software Defined Networking (SDN) , Network Virtualization , and Control Plane optimization.
پژوهشگر
Inna Stepchuk is a PhD candidate and researcher at the Faculty of Technology, Policy and Management, Delft University of Technology. She is affiliated with the Engineering Systems and Services department and part of the Energy and Industry group . Her current research is under the NWO project “Unravelling the impact of using alternative raw materials in industrial clusters,” led by Prof. Andrea Ramirez. The project focuses on evaluating the impacts of replacing fossil-based raw materials with alternatives like CO 2 or biomass in industrial sectors, utilizing process modeling and simulation software (ASPEN). Inna holds a Master’s degree in Mechanical Engineering for Chemical Production from NTUU “KPI” in Ukraine (2015) and a second Master’s in Management and Engineering of Environment and Energy from KTH Royal Institute of Technology, Sweden (2019, through the Erasmus Mundus ME3 program). Her research interests include sustainable energy systems development and integration , complex assessment of novel technologies , industrial decarbonization , and process modeling and optimization . These areas reflect her commitment to advancing clean energy transitions and addressing environmental challenges through innovative technical and managerial approaches. Prior to her PhD, Inna gained five years of professional experience as a research analyst and consultant in clean energy transition projects across Ukraine, Germany, and the Netherlands. This experience bridges practical industry insights with academic research. Inna is based in Room B3.270, Building 31 on the TU Delft campus. She can be reached via email at I.Stepchuk@tudelft.nl .
Vincent Lostanlen is a Researcher (chargé de recherche) at CNRS, affiliated with the LS2N laboratory located at Centrale Nantes engineering school. He also serves as a visiting scholar at New York University. His research focuses on developing artificial intelligence for audio analysis, emphasizing machine listening systems, bioacoustic monitoring, and computer music. Key projects include the BirdVox platform for avian migration monitoring and the Kymatio Python library for wavelet scattering transforms. Education: Ph.D. in Mathematics from École Normale Supérieure (2017), supervised by Stéphane Mallat; MSc in Acoustics & Music Informatics from Université Pierre-et-Marie-Curie (2013); Dipl. Ing. in Signal Processing from Télécom ParisTech (2013). Research interests span audio representation learning, environmental sensor networks, and generative models for sound. Notable contributions include the SONYC-UST urban sound dataset and the PCEN signal frontend for robust acoustic sensing. Scientific awards include the 2019 AFIM Young Researcher Award, 2016 SFA Best Poster Prize, and 2015 IEEE MLSP Best Paper Award. He advises graduate students across computer science and music technology domains, with former advisees working in academia and industry. Current activities include developing green AI for audio processing and collaborating on bioacoustic sensor networks for biodiversity monitoring. His work bridges signal processing theory with practical applications in music, ecology, and biomedical engineering.
استادیار
Dr. Martin R. Oswald is an Assistant Professor in the Computer Vision Group at the University of Amsterdam and a Senior Researcher in the Computer Vision and Geometry (CVG) lab at ETH Zurich under Prof. Marc Pollefeys. His work bridges academia and research institutions, focusing on advanced computer vision and artificial intelligence. Education: PhD in Computer Vision, Technische Universität München (2015), supervised by Prof. Daniel Cremers Masters in Civil Engineering, Universidad Técnica Federico Santa María, Chile (2008), supported by DAAD fellowship Master of Science (Diplom) in Computer Science, TU Dresden (2007) Research Interests: Oswald specializes in 3D computer vision, semantic reconstruction, learning-based shape representations, and machine learning. His work spans neural networks, video processing, motion estimation, and optimization methods, with applications in high-level scene understanding and artificial intelligence. Awards: Recipient of the DAAD fellowship during his civil engineering studies in Chile. Labs & Teams: Leads research within the CVG Group (ETH Zurich) and the Computer Vision Group (UvA), focusing on interdisciplinary projects in computer vision and geometry.
I. (Ingolf) Dittmann is a Professor of Corporate Governance and Managerial Accounting at the Erasmus School of Economics (ESE), Erasmus University Rotterdam, and a Fellow at ERIM. Affiliated since 2005, his research spans corporate finance , corporate governance , executive compensation , and behavioral finance . He leads NWO-funded projects including 'Explaining Stock Options in Executive Compensation' (2006-2010) and 'Inferring Preferences from Managerial Compensation Data' (2013-2017), and has held visiting positions at the University of California, San Diego. Education : PhD (Dortmund University), Habilitation (Humboldt-University, Berlin) His research focuses on designing optimal executive compensation contracts, analyzing shareholder voting behavior, and evaluating the impact of corporate governance structures. Notable work includes studies on loss-averse CEOs , pay inequality , and fractional cointegration in financial time series. Recent publications examine how equity-based compensation influences share repurchase timing relative to the corporate calendar and the relationship between wage gaps and stock returns. His 2013-2017 project on managerial compensation preferences was funded by a NWO vici grant. Scientific Awards : ERIM Top Article Award (2008) He advises doctoral candidates such as Dan Zhang (2008-2012) and Patrick Verwijmeren (2005-2008), and coordinates research seminars on topics like executive compensation, market volatility, and behavioral finance.
پژوهشگر
Dr. Kernan Freire is a Researcher in the Faculty of Industrial Design Engineering at Delft University of Technology, specializing in Sustainable Design Engineering and Internet of Things (IoT). His work focuses on integrating Artificial Intelligence (AI) and Large Language Models (LLMs) into manufacturing systems to enhance knowledge sharing and operational efficiency. He leads projects like COALA (COgnitive Assisted agile manufacturing for a LAbour force supported by trustworthy Artificial Intelligence) and SAM|XL , which address challenges in AI adoption across industries. Freire holds an MSc and an Ir. (engineer) degree. His research emphasizes human factors in AI systems, including conversational assistants and cognitive tools for factory operators. He explores how LLMs can improve workplace communication, reduce risks, and optimize processes. Recent studies analyze user perspectives on AI assistants, system transparency, and ethical implications of AI integration in socio-technical systems. Key contributions include developing LLM-powered cognitive assistants for knowledge sharing, evaluating conversational AI in healthcare and manufacturing, and safeguarding data integrity against AI-based attacks. His work bridges technical innovation with human-centered design principles.
Mehmet Ozdemir is a Lecturer and researcher at the Faculty of Industrial Design Engineering at Delft University of Technology. His work focuses on digital fabrication, computational design, and sustainable design engineering. He holds dual PhDs in Mechanical Engineering (Politecnico di Milano) and Product Development (University of Antwerp), focusing on mass personalization methodologies in digital manufacturing. Expertise: Multi-material 3D printing, computational design tools (e.g., Grasshopper), and design for additive manufacturing Research: Explores novel structures/materials for FDM 3D printing, programmable foaming (4D printing), and texture/gradient control in printing His research emphasizes transforming manufacturing processes into design tools, pushing boundaries in multi-material printing applications. Ozdemir has been recognized with a Best Demo Honorable Mention (ACM UIST 2024) for his work on augmented reality component selection tools.
استادیار
Dr. C (Congcong) Sun is an Assistant Professor in the Department of Agricultural Biosystems Engineering at Wageningen University & Research. His research focuses on developing intelligent control systems for sustainable agriculture, including the application of AI techniques like neural networks and reinforcement learning. He leads projects such as the 4TU Green Sensors initiative for biodegradable soil sensors and the DurableCASE collaboration for cooperative agrobotics systems. His expertise spans optimal control, precision agriculture, and agro food robotics. Education: PhD in Automation, Robotics and Vision (UPC-CSIC, Spain); MSc in System Engineering (Tongji University, China); BSc in Computer Science (Nanjing Audit University, China). He teaches courses including MSc Research Practice, Thesis guidance, and Advanced Machine Learning (FTE40306). Research Interests: Sensing systems, data-driven modeling, reinforcement learning for climate control, and robotic logistics in agricultural settings. Key projects include autonomous greenhouse climate control using RL, smart vertical farming, and mission planning for manure-removing robots in dairy barns. Publications emphasize applications in greenhouse climate modeling, water distribution networks, and robotic path planning. His work integrates control engineering with environmental sustainability goals.
Mink Zijlstra holds the academic rank of Lecturer in Plant Production Systems. Their research focuses on agricultural sustainability, climate change mitigation in livestock systems, and optimizing grassland management. Key areas include greenhouse gas emissions reduction, dairy sector development in East Africa, and sustainable oil palm production. They have contributed to 10 peer-reviewed publications since 2021, with notable work on yield gaps in smallholder oil palm farming and modeling frameworks for East African grassland systems. Research Interests: Climate-smart agricultural practices Decision-making processes in livestock systems Stakeholder-driven low-emission development Modeling biophysical and socio-economic dynamics Notable Activities: Contributed to AgMIP 6 workshop (2016) Delivered lectures on coastal defense ecology since 2009 Active in East African sustainability initiatives
دانشیار
Yang Zhu serves as an Associate Professor in the Department of Bio Process Engineering at Wageningen University & Research, specializing in food microbiome dynamics and traditional fermentation systems. Active in both academic supervision and collaborative research, Zhu contributes significantly to understanding microbial ecosystems in food production. Research focuses on food fermentation microbiology , particularly Chinese liquor (Baijiu) production, solid-state fermentation processes, and microbiome stability. Key interests include quantitative profiling of food microbiomes , antibacterial activity in fermented foods , and statistical modeling of traditional fermentation variables . Work bridges food safety, security, and traditional production methods through advanced microbiological analysis. Research output trends show increasing focus on microbial community interactions in indigenous fermentations, with recent publications emphasizing metabolic stability control and quantitative profiling challenges. The 2023-2025 publications reveal strong specialization in Chinese liquor fermentation ecosystems and statistical modeling of traditional food processes. Supervision includes co-promoting PhD research on Dynamics of microbial succession in Chinese liquor fermentation (2021-2024), with two supervised works documented. Current projects investigate microbial functionality in spontaneous solid-state fermentation ecosystems, securing collaborative funding with international partners including Xu, Wijffels, and Martins dos Santos. Laboratory work centers on the food microbiome ecosystem, particularly studying Lactobacillus plantarum , Escherichia coli interactions, and bacteriocin production in traditional liquor fermentation. The research group employs multi-omics approaches to map microbial succession during fermentation stages.
Peter van Heijster is a Full Professor at Wageningen University's Mathematical and Statistical Methods group (Biometris). His research focuses on mathematical biology, reaction-diffusion equations, and nonlinear dynamics. He explores topics such as predator-prey systems, tumor invasion models, ecological stability, and pattern formation in biological systems. Key projects include analyzing cyanobacterial bloom control mechanisms, optimizing linear time-invariant systems, and understanding stochastic climate models. He supervises doctoral candidates in areas like AI-driven ecological resilience and soil microbial communities. With over 42 publications, his work spans theoretical and applied mathematics, contributing to both fundamental science and practical applications in agriculture and environmental systems. His research integrates mathematical modeling, stability analysis, and numerical simulations, addressing challenges in ecology, oncology, and systems biology. Collaborations span global institutions, emphasizing interdisciplinary approaches to complex biological and environmental problems.
مدرس ارشد
Susanne Balm is a Senior Lecturer at Amsterdam University of Applied Sciences, leading the City Logistics research group (Lectoraat City Logistics). Her work focuses on sustainable urban freight systems, electric vehicle integration, and neighborhood logistics solutions, primarily within the Amsterdam metropolitan context. Her educational background includes a Master's in Spatial, Transport and Environmental Economics from Vrije Universiteit Amsterdam (2010) and a Bachelor's in Business Administration (2009). Her research spans practical implementation of sustainable logistics solutions with strong industry and municipal partnerships. Balm's research interests center on urban consolidation centers, electric freight vehicles, and sustainable procurement systems. Her work emphasizes real-world application through projects like neighborhood hubs and campus logistics optimization, addressing last-mile delivery challenges while reducing environmental impact in dense urban areas. Her publication trends show strong focus on practical implementation research, with increasing output in neighborhood logistics hubs (2022-2025), urban consolidation centers (2024), and sustainable procurement frameworks (2022). The research demonstrates consistent Dutch context application with growing international relevance in urban freight management. Young Talent Award Stichting Wiechert (2019) KIEM Logistiek: 'Servicelogistiek in de stad' (2017) Nominatie RAAK-Award (2017) Balm actively supervises student theses and professional projects while engaging in extensive consultancy and industry collaboration. Her work involves significant municipal partnerships (Amsterdam city government), university collaborations (UvA), and industry stakeholder engagement through focus groups and implementation projects. She has secured research funding for multi-year initiatives including the 5-year sustainable supply chain project at UvA-HvA. She leads the City Logistics research group at Amsterdam University of Applied Sciences, focusing on practical implementation of sustainable logistics solutions. Her team collaborates closely with municipal governments, businesses, and academic partners on neighborhood logistics hubs, electric vehicle adoption, and sustainable procurement systems, emphasizing real-world application over theoretical research.
Wesley Da Silva Costa is a Lecturer-Researcher at the Research Centre Biobased Economy, University of Groningen. His research focuses on Visible Light Communication (VLC), IoT systems, and optimization techniques such as genetic algorithms. He holds a PhD in Electrical and Electronic Engineering from the Federal University of Espirito Santo (2023). Key research areas include improving spectral and power efficiencies in VLC systems, optimizing mesh networks, and applying AI to communication frameworks. His work addresses challenges in low-power wireless networks, handover protocols, and hybrid IoT resource allocation. Recent publications (2021–2025) emphasize VLC system enhancements, IoT integration, and AI-driven solutions for industrial and healthcare applications. Collaborations span topics like chronobiological monitoring in extreme environments and sustainable communication technologies aligned with UN SDGs. Notable contributions include low-cost IoT diagnostic tools for tropical/Antarctic environments and optimized OFDM-VLC systems using multi-objective algorithms. His research bridges theoretical advancements with practical implementation in smart grids and medical monitoring.
دانشیار
Bram Kin is an Associate Professor at HAN University of Applied Sciences and concurrently serves as a Scientist in Urban Logistics at TNO. His work focuses on advancing sustainable logistics through cleaner and smarter processes, addressing societal challenges such as CO₂ emissions, spatial integration, and the paradox of logistics' necessity versus its environmental impact. He leads the Logistics and Alliances research group, which emphasizes practice-oriented research in Healthcare Logistics, Sustainable Logistics, and Data-driven Logistics. Key research interests include decarbonization models, last-mile logistics optimization, and stakeholder collaboration to embed logistics within urban planning. His recent publications explore integrated sustainable logistics frameworks and spatial solutions for car-free zones. Bram advocates for a multidisciplinary approach to align logistics with energy, mobility, and construction transitions. His professional contributions bridge academic research and industry practice, aiming to strengthen logistics education and infrastructure sustainability in the Gelderland region. No specific scientific awards or grants are highlighted in the available information.
Shirley Oomens is a Professor of Occupational Health and Safety at HAN University of Applied Sciences since 2016. Her work focuses on organizing inclusive labor markets, particularly supporting people with disabilities and mental health vulnerabilities to achieve sustainable employment. She holds a PhD in sociology and is also affiliated with Radboud University Medical Center as a lecturer in Primary Care Medicine (SGBO). Education: Trained as a sociologist and methodologist, with a PhD focused on sociological determinants of mental health problems in the general population. Research Interests: Return-to-work processes for vulnerable populations Employer support strategies for mental health Optimizing occupational therapy roles Social security system improvements Prevention of workplace absenteeism Key Projects: Developing digital tools for occupational health professionals Long-term monitoring of job placements for disabled workers across three regions Enhancing employer capacity to retain employees with mental health challenges Professional Roles: Member of AKC's Scientific Program Council Advisor to PSO-NL Expert Committee Editorial Board Member of TBV Journal Teaching Involvement: Contributes to programs in Occupational Therapy, Human Resource Management, Social Work, Applied Psychology, Nursing, and Master's HR Management. Special Lectorate: Leads the 'Arbeidsdeskundigheid' (Occupational Expertise) initiative focusing on sustainable labor participation and professional roles in reintegration processes.
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