جست‌وجوی استاد و پژوهشگر

Karolin Winterمشاهده پروفایل

استادیار

• Business Process Compliance
• Process Mining
• Natural Language Processing (NLP)
• +۲ مورد دیگر

Karolin Winter is an Assistant Professor at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her research focuses on business process compliance, process mining, and natural language processing (NLP) techniques. PhD in Computer Science from University of Vienna (2021) Research Interests: She specializes in digitalizing compliance management by bridging regulatory documents and process execution logs. Key areas include constraint discovery, predictive compliance monitoring, and exception handling in business processes. Recent Article Trends: Her work integrates NLP and process mining for automated compliance verification, deviation detection between external/internal regulations, and predictive monitoring of process-aware systems. 2021: Runner-up Best Dissertation Award (BPM 2021) 2020: Best Student Paper Award (ER 2020) Labs/Teams: Collaborates with the Information Systems group (IE&IS) at TU/e and international conference teams for CAiSE, BPM, and CBI.

Sybren de Kinderenمشاهده پروفایل

استادیار

• Enterprise Architecture Modeling
• Energy Systems
• Cognitive Linguistics
• +۴ مورد دیگر

Sybren de Kinderen serves as an Assistant Professor in the Information Systems group within the Industrial Engineering and Innovation Sciences department at Eindhoven University of Technology. His academic journey began with a PhD in Computer Science from the Free University of Amsterdam in 2010, followed by postdoctoral research positions at the Luxembourg Institute of Science and Technology, University of Luxembourg, and University of Duisburg-Essen before securing his current faculty position. Dr. de Kinderen's research spans multiple interconnected domains with a consistent focus on enterprise modeling methodologies. His primary research interests include enterprise architecture modeling, future energy systems, and cognitive linguistics for discourse analysis in information systems. He has developed significant expertise in formal methods for model verification, particularly through integrating the ADOxx modeling platform with Alloy formal language. His recent work demonstrates an innovative pivot toward applying Large Language Models for Legal Goal-oriented Requirements Language (Legal GRL) modeling, showing how prompt templates can structure LLM output for regulatory compliance analysis. His research consistently bridges theoretical modeling approaches with practical applications in complex domains like energy systems and cybersecurity. Analysis of Dr. de Kinderen's publication record reveals a clear evolution in research focus over time. Early work centered on service bundling and value modeling, while more recent publications demonstrate increasing sophistication in multi-level modeling approaches, formal verification techniques, and the integration of AI technologies with traditional modeling paradigms. His research shows particular strength in applying enterprise modeling to energy sector challenges, with numerous publications addressing smart grid initiatives, energy community development, and regulatory compliance in energy systems. The most recent publications indicate growing interest in leveraging AI capabilities while maintaining rigorous formal modeling foundations. Dr. de Kinderen actively contributes to the academic community through editorial roles, including guest editing special sections on enterprise architecture research trends. While no specific awards are mentioned in the available information, his consistent publication record in reputable venues and his role as corresponding author on significant works indicates recognition within his research community. His research appears to be supported by institutional affiliations rather than explicitly mentioned external grants. Within the Information Systems group at Eindhoven University of Technology, Dr. de Kinderen contributes to multiple research initiatives focused on enterprise modeling, particularly through the EIRES Research group. His work intersects with several collaborative projects in energy systems analysis and cybersecurity, suggesting participation in interdisciplinary research teams addressing complex societal challenges through advanced modeling approaches.

Rudolf Huismanمشاهده پروفایل

استادیار

• Hybrid Electric Vehicles
• Optimal Control
• Battery Management
• +۴ مورد دیگر

Rudolf Huisman is a part-time Assistant Professor at Eindhoven University of Technology's Mechanical Engineering Department , specializing in Robotics and Control Systems Technology . His research focuses on integrating optimal control and energy management for hybrid electric vehicles, particularly addressing battery life preservation and fuel efficiency in heavy-duty transport systems. Primary Research Areas: Hybrid vehicle dynamics, battery aging modeling, preview-based control algorithms Key Contributions: Development of Integrated Energy Management (IEM) strategies, explicit optimal control solutions for engine warmup, and real-time trajectory planning for autonomous articulated vehicles Publication Trends: Recent work emphasizes autonomous driving (2024), while earlier studies focus on battery-ICE synergy (2016), drivetrain optimization (2014-2012), and clutch control systems (2007-2010). His research spans both theoretical control frameworks and practical implementation validated through simulations. Collaborations: Works closely with the Control Systems Technology Group and EAISI Mobility Group , frequently collaborating with TU/e researchers like M.J.G. van de Molengraft and T. Hofman.

Tess Homanمشاهده پروفایل

استادیار

• Fundamental Fluid Dynamics
• Fluid-Particle Flow
• Bubbly Flow
• +۵ مورد دیگر

Tess Homan is an Assistant Professor at the Power & Flow group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). Her research focuses on fundamental fluid dynamics , with an emphasis on data analysis and experimental techniques to study fluid-particle flows , bubbly flows , and biological systems . She is also involved in the Complex Multiphase Flows theme at TU/e. Research Trends: Articles span microfluidic mixing , metal particle combustion , and deep learning applications in fluid dynamics. Key subfields include artificial cilia dynamics , hyperspectral thermometry , and hydrogen-based metal regeneration . Scientific Contributions: Developed low-cost deep learning segmentation for bubble detection in industrial processes Advanced high-speed imaging techniques to analyze metal dust flames Investigated metachronal wave programming for fluid control in artificial cilia systems Education & Outreach: Teaches Experimentation for Mechanical Engineering and MATLAB Homologatie at TU/e.

Anna Melnykمشاهده پروفایل

پژوهشگر

• Ethics of Technology
• Climate Ethics
• Philosophy of Technology
• +۴ مورد دیگر

Anna Melnyk is a Postdoctoral researcher and lecturer in the Ethics & Philosophy of Technology section at Delft University of Technology's Faculty of Technology, Policy & Management. She actively contributes to academic research while teaching Climate Ethics to engineering students at TU Delft. Her research focuses on values, value change, and value conflicts at the intersection of ethics and philosophy of technology, climate ethics, agent-based modelling, social psychology, and energy transition studies. She is an integral member of the TPM Energy Transition Lab, where she explores moral dilemmas and value conflicts in energy transitions. Her work combines theoretical philosophical approaches with practical applications in sustainability challenges. Dr. Melnyk completed her PhD as part of the ERC Advanced Grant project "Design for Changing Values in Socio-Technical Systems," demonstrating her expertise in navigating complex value landscapes within technological contexts. Her research methodology bridges multiple disciplines to address pressing issues in technology ethics. Her scholarly contributions appear in respected journals including Energy Research and Social Science and Science, Technology, and Human Values , where she examines the ethical dimensions of energy transitions and socio-technical systems. Her work consistently addresses how values shape and are shaped by technological developments, particularly in sustainability contexts. As an educator, she brings these complex ethical considerations to engineering students, helping future technologists understand the moral dimensions of their work. She is actively engaged with the 4TU.Ethics community, contributing to interdisciplinary knowledge exchange across technical, ethical, and policy domains.

• Water Resources Management
• Environmental Engineering
• Hydrology
• +۳ مورد دیگر

A. Abbasi is a Researcher in the Department of Water Systems Monitoring & Modelling at Delft University of Technology. His work focuses on water systems, groundwater contamination, and health risk assessment. Active in Iranian Water Resource Management Specializes in Geostatistical Modeling and Environmental Restoration Contributions to Rainwater Harvesting and Water Quality Analysis Recent research trends include: Application of Tensor-based Monitoring for inland lakes like Urmia Hybrid Machine Learning-Optimization models for evapotranspiration Health risk assessments of Potentially Toxic Elements in groundwater

Mojtaba Haghiمشاهده پروفایل

پژوهشگر ارشد

• Embedded Control Systems
• Model Predictive Control
• Multi-core Platforms
• +۴ مورد دیگر

Mojtaba Haghi is a post-doctoral researcher at Eindhoven University of Technology (TU Eindhoven), affiliated with the Department of Electrical Engineering . He is actively involved in the Embedded Control Systems Lab , CompSOC Lab - Predictable & Composable Embedded Systems , and the High Tech Systems Center . His research focuses on co-designing control applications for resource-constrained embedded platforms, particularly targeting multi-core hardware architectures. PhD in Electrical Engineering (2025) from TU Eindhoven MSc in Electrical Engineering from AmirKabir University of Technology His work addresses critical challenges in: Resource utilization optimization in embedded control systems Multi-rate controller design for predictable platforms Hardware/software co-design for industrial applications Parallel computing in model predictive control algorithms Recent publications demonstrate expertise in: Water grid model predictive control frameworks GPU-accelerated optimization algorithms Embedded system performance verification Industrial motion control applications He collaborates with research groups including: EAISI (Eindhoven AI Systems Institute) MedTech Innovation Center

Vincent Groenhuisمشاهده پروفایل

پژوهشگر

• Medical Robotics
• MRI-Guided Surgical Interventions
• Stepper Motor Technology
• +۳ مورد دیگر

Vincent Groenhuis is a postdoctoral researcher at the Robotics and Mechatronics (EEMCS-EE-RAM) group , University of Twente. He holds a BSc, MSc, and PhD in Computer Science, Embedded Systems, and Medical Robotics respectively, all cum laude. His work focuses on image-guided medical robotics for bladder cancer diagnosis (Next-gen In-Vivo project) and MRI/ultrasound-guided breast biopsy (Sunram/MURAB projects), alongside innovations in pneumatic and electric stepper motors with two patents spun into companies. Education : BSc Computer Science (cum laude), MSc Embedded Systems (cum laude), PhD Medical Robotics (cum laude) Key Collaborations : Hamlyn Surgical Robot Challenge, European Robotic Forum, ICRA, BioRob, IROS His research integrates 3D-printed actuators with MRI safety protocols, enabling compact, reconfigurable systems for endovascular interventions and biopsy procedures. Article trends emphasize sensorless positioning , pneumatic computation , and multi-axis motor design . Awards include Best Video (Sunram 4, Hamlyn 2017) and Best Design (Sunram 3, Hamlyn 2016) . Supervised student projects span ultrasound needle steering , auto-rewind spool holders , and emergency disengagement mechanisms .

Pirouz Nourianمشاهده پروفایل

استادیار

• Computational Design
• Urban Planning
• Geospatial Information Systems
• +۷ مورد دیگر

Pirouz Nourian is an Assistant Professor at the Digital Society Institute's Department of Urban and Regional Planning and Geo-Information Management. His research focuses on computational design, urban digital twins, spatial analysis, and geospatial systems, with applications in urban planning, hospital design, and cultural heritage conservation. Key Research Areas: Computational Design, Urban Digital Twins, Geospatial Information Systems, Human-AI Interaction Methodologies: Graph Theory, Network Analysis, Voxelization Algorithms, Ontology Modeling Applications: Participatory Planning, Hospital Space Optimization, Cultural Heritage Mapping, Active Mobility Studies His recent work explores agent-based modeling in urban twins, AI integration with geospatial data, and serious games for spatial design. Publications demonstrate interdisciplinary approaches combining civil engineering, computer science, and urban analytics.

Raian Vargas Marettoمشاهده پروفایل

استادیار

• Remote Sensing
• Deep Learning
• Machine Learning
• +۱۰ مورد دیگر

Raian Vargas Maretto is an Assistant Professor in the Department of Earth Observation Science at the University of Twente. With a PhD in Applied Computing (2020) and an MSc in Remote Sensing (2011) from Brazil’s National Institute for Space Research (INPE), he couples deep-learning innovation with large-scale geospatial data to monitor land-use dynamics, urban deprivation and forest loss. Education: PhD Applied Computing, INPE (2020) MSc Remote Sensing, INPE (2011) BSc Computer Science, Federal University of Ouro Preto (2008) His research integrates computer vision, machine-learning and data-mining techniques with multi-sensor satellite imagery to derive actionable geographic information. Core interests encompass remote-sensing image analysis, sensor fusion, pattern recognition, GIS development, land-cover & vegetation mapping, and AI-based environmental monitoring . Across 35 recent outputs, three dominant strands emerge: (i) deep-learning architectures for semantic segmentation of deprived urban areas and Cerrado vegetation; (ii) energy-balance and vegetation-index approaches for crop evapotranspiration estimation; and (iii) space-education analytics that map European curricula to foster a sustainable space workforce. These works increasingly couple open-data philosophies with transparent AI to support SDG targets. Software & Systems: Maretto has contributed to TerraLib, TerraView, TerraME, GeoDMA and the DeepGeo package, championing open-source GIS tools. Field & Policy Engagement: He served as visiting researcher at the Ethiopian Space Science & Geospatial Institute (2022 & 2023) and has given media interviews on AI-powered deforestation monitoring.

Mohamed Irfan Refaiمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Biomechanics
• +۶ مورد دیگر

Mohamed Irfan Refai is an Assistant Professor specializing in Neuromuscular Robotics . His research bridges robotics and biomechanics, focusing on exoskeletons , machine learning , and human movement analysis . Education : Master's at University of Twente (2015-2017) and Bachelor's at Sri Sivasubramaniya Nadar College of Engineering (2008-2014). Refai's research explores: Neuro-mechanical control of soft exosuits and active exoskeletons Personalized electromyography-driven musculoskeletal models Adaptive assistance strategies for spinal load reduction Real-time biomechanical risk assessment using NIOSH guidelines Integration of wearable sensors and digital human models His publications (2024-2025) span soft robotics , biomechanical modeling , and industrial ergonomics , emphasizing applications in spinal compression analysis and gait kinematics . Scientific Awards ISB 3D Analysis of Human Movement Student Award (2018) Refai actively contributes to academic discourse through invited talks , conference organization , and peer review activities. His work aligns with the SOPHIA research project and involves collaborations across Europe in rehabilitation robotics and industrial assistive technologies .

• Robotics
• Unmanned Aerial Vehicles
• Computer Vision
• +۳ مورد دیگر

Barbara Bazzana is an active Researcher specializing in Robotics and Mechatronics with a focus on unmanned aerial systems control. Her work integrates computer vision and machine learning to solve complex navigation challenges in multi-rotor platforms, particularly through novel applications of diffusion models and experimental force modeling. Her core research domains include: Visual servoing for UAV autonomous navigation Denoising diffusion probabilistic models in robotics Multi-rotor aerodynamics and cross-influence effects Real-time propeller force modeling Latent space representations for control systems Analysis of her 2024-2025 publications reveals a strong trend toward merging generative AI with physical UAV control systems. Her work demonstrates how return-conditioned latent diffusion models can enable image-based servoing without explicit state estimation, while her propeller force research provides experimentally validated solutions for multi-rotor instability caused by aerodynamic interference. Both threads emphasize practical implementation in real-world aerial systems rather than purely theoretical exploration.

• Power Electronics
• Smart Grids
• Electric Vehicles
• +۳ مورد دیگر

Nataly Bañol Arias is an Assistant Professor specializing in Power Electronics with extensive research activity in smart grids and electric vehicle (EV) integration. Her work focuses on the technical and operational challenges of modern energy systems, including congestion management in distribution networks, robust optimization for EV charging coordination, and IoT-based energy management solutions for microgrids. Current Research Outputs : 23 total publications (15 most recent shown here) Key Collaborators : J. S. Giraldo, J. C. López, G. Hoogsteen, J. L. Hurink Her research spans Electrical Engineering and Computer Science domains, addressing critical areas such as: Optimization of EV charging strategies Smart grid security and reliability Integration of renewable energy sources Data-driven power flow analysis Microgrid energy management Market mechanisms for energy flexibility Recent publications demonstrate increasing sophistication in handling grid constraints through adaptive algorithms. There is a clear trajectory from foundational work on metaheuristic optimization (2015-2017) to current focus on robust, real-time EV charging coordination and grid security.

• Computer Science
• Distributed Systems
• Blockchain
• +۷ مورد دیگر

R.M. Chotkan is an active researcher affiliated with the Electrical Engineering, Mathematics and Computer Science school. Their work focuses on decentralized systems, blockchain technology, and trust models within distributed infrastructures. Research Interests: Blockchain and distributed consensus algorithms Self-sovereign identity systems Trust and authentication mechanisms in hybrid models Peer-to-peer network cooperation DAOs and web3 disruption Recent Research Trends: Chotkan's publications center on blockchain scalability, decentralized governance, and secure identity frameworks. They explore economic models in distributed systems, hybrid trust architectures, and reputation-based security protocols. Collaborative Networks: Key collaborations include work with researchers like Decouchant, Pouwelse, and Rahli, focusing on distributed infrastructure for decentralized applications.

K. Psarakisمشاهده پروفایل

پژوهشگر

• Cloud Computing
• Stream Processing
• Distributed Systems
• +۸ مورد دیگر

K. Psarakis is a researcher in the field of Data-Intensive Systems, focusing on cloud computing, stream processing, and distributed dataflows. Their work bridges theoretical and practical challenges in cloud-native applications and scalable systems. Institution: Affiliated with Data-Intensive Systems Research Focus: Cloud transaction management, autoscaling, geospatial data platforms, and fault tolerance Research Trends Recent publications like Styx and CheckMate highlight innovations in transactional stateful functions and checkpointing protocols. Psarakis also contributes to geospatial data federation (e.g., Topio ) and schema matching techniques ( Valentine ). Collaborations Collaborates with researchers such as G. C. Christodoulou, M. Fragkoulis, and A. Katsifodimos on projects involving open-source platforms and cloud-native systems.