Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.
Roozbeh Torkzadeh is a researcher with expertise in smart grids, synchrophasor technologies, and power quality. He completed his M.Sc. (Hon.) in Electrical Engineering at Yazd University (2013) and earned his Ph.D. from the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in 2023. His Ph.D. project was funded by Netbeheer Nederland. He has held research roles at Universidad Loyola Andalucía (Spain) and TenneT TSO BV (Netherlands), and is currently a guest researcher at TU/e while working as a Senior Electrical Engineer at Shell Global Solutions International, focusing on grid connection, renewable integration, and decarbonization. Education: M.Sc. (Hon.) in Electrical Engineering, Yazd University (2013) Ph.D. in Electrical Engineering, Eindhoven University of Technology (2023) Roozbeh’s research spans power systems, renewable energy integration, and grid stability. He has contributed to voltage dip assessment, energy transition impacts on network quality, and PMU placement optimization. His work emphasizes practical challenges in wide-area measurement systems, fault current injection, and synthetic inertia control for low-inertia grids. Recent publications highlight trends in energy transition-driven grid modifications, voltage dip analysis, and synchrophasor applications. Key subfields include network modeling, renewable energy markets, and hydrogen scheduling. Scientific Awards: Next Generation Network (NGN) Showcase Presentation Award (CIGRE, 2021) His Ph.D. grant from Netbeheer Nederland and collaborations with Dutch grid operators underscore his industry-academia engagement. Current roles in Shell and TU/e reflect his focus on electrification and decarbonization projects.
Dr. Prasanth Venugopal is an Associate Professor specializing in Power Electronics with a focus on advanced energy transfer systems and battery technology. His research spans wireless power transfer, electric vehicle charging, and electrochemical impedance spectroscopy for battery diagnostics. Primary research areas: Wireless Power Transfer (100%), Harmonics (88%), Inductive Power Transfer (87%), Battery Engineering (48%) Recent publications demonstrate expertise in transformerless converter designs, multi-level architectures, and AI-driven battery capacity estimation. He has pioneered meander coil topologies for harmonic mitigation and developed computation-light models for battery aging analysis. His work includes collaborations on Li-ion battery degradation, onboard chargers for electric vehicles, and hybrid power systems for electric aircraft. Despite significant output in IEEE Transactions, no explicit awards or student mentoring data appears in the provided texts.
Thiago Batista Soeiro serves as a Full Professor with exceptional scholarly impact, evidenced by over 200 research publications and an h-index of 27. His work fundamentally advances power electronics applications in transportation and energy systems, particularly through innovations in electric vehicle infrastructure and sustainable power conversion technologies. Despite the absence of explicit institutional affiliation in source materials, his research permeates critical IEEE journals and conferences. Professor Soeiro's research portfolio centers on: Power converter design for electric vehicle charging systems AI-driven battery health estimation using electrochemical impedance spectroscopy Wireless power transfer optimization for automotive applications High-efficiency topologies for more electric aircraft Hydrogen energy system integration Advanced semiconductor utilization in grid-connected systems Analysis of his 2023-2025 publications reveals accelerating innovation in wide-voltage-range converters, predictive battery management, and fault-tolerant power systems. His work increasingly bridges machine learning with power electronics, notably through computation-light AI models for battery diagnostics, while maintaining strong focus on practical implementation challenges in EV charging and aircraft electrification. No scientific awards or honors were documented in the available materials. Similarly, information regarding student supervision, research grants, laboratory facilities, or collaborative teams was not provided in the source texts.
Zian Qin serves as an Associate Professor in the Department of Electrical Sustainable Energy at Delft University of Technology, Netherlands. His academic journey includes a B.Sc. from Beihang University (2009), M.Sc. from Beijing Institute of Technology (2012), and Ph.D. from Aalborg University (2015), all in Electrical Engineering, with a Visiting Scientist stint at RWTH Aachen University (2014). B.Sc., Electrical Engineering, Beihang University (2009) M.Sc., Electrical Engineering, Beijing Institute of Technology (2012) Ph.D., Electrical Engineering, Aalborg University (2015) His research centers on power electronics-based grid stability, solid-state transformers, and battery energy storage systems. Key contributions span DC microgrid control, magnetic material optimization, and EV charging infrastructure, with fingerprints highlighting expertise in power quality ( 100% ), voltage stability ( 87% ), and grid-forming applications ( 79% ). Current projects like ECS4DRES and GROW focus on resilient renewable energy systems and African energy storage solutions. His 154+ publications reveal strong emphasis on power electronics control ( 83% ), grid integration ( 79% ), and EV technologies ( 42% ), with recent work targeting microgrid vulnerability reduction and data-driven magnetic loss modeling. Awards include IEEE Prize Paper Awards (2023), World Top 2% Scientist recognition, and IEEE Innovation Awards (2024). IEEE International Challenge Excellent Innovation Award (2024) IEEE Open Journal Prize Paper Award (2023) World's Top 2% Scientist (2022-2024) Featured IES Journal Articles (2023) IEEE TIE Distinguished Reviewer (2020) As Founding Chair of IEEE Transportation Electrification Council Benelux Chapter and Dutch National for Cigre WG B4.101, he leads critical industry collaborations. His editorial roles in IEEE TPEL/TIE/JESTPE and projects like PROGRESSUS demonstrate significant grant leadership in next-generation power infrastructure. Lab activities focus on DC systems, energy conversion, and storage validation through Delft's Electrical Sustainable Energy facilities.
Dongsheng Yang is an Assistant Professor with the Electrical Energy Systems Group at the Department of Electrical Engineering of Eindhoven University of Technology (TU/e). He has been working at TU/e since 2019, focusing on power electronics and renewable energy integration, and previously served as Assistant Professor at Aalborg University's Department of Energy Technology (2018-2019). Dr. Yang received his B.S., M.S., and Ph.D. degrees in electrical engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2008, 2011, and 2016, respectively. His academic journey progressed from postdoctoral researcher at Aalborg University (2016) to faculty positions at both institutions. Dr. Yang's research focuses on the modeling, analysis, control, and design of power electronics dominated power systems , with the goal of safely accommodating high-penetrations of renewable energy sources and energy-efficient end-uses. His work spans several critical areas in modern power systems: Power electronics dominated grid stability and control Renewable energy integration and grid synchronization EV fast-charging infrastructure development Hydrogen production systems Medium-frequency transformer design and modeling AI applications in power electronics Analysis of Dr. Yang's recent publications reveals a strategic research trajectory toward developing advanced control strategies for power converters, improving modeling techniques through AI approaches, and addressing practical implementation challenges for renewable energy systems. His work spans both theoretical developments and practical applications, with increasing emphasis on neural network frameworks for magnetic modeling, safety boundaries for EV charging architectures, and enhanced fault ride-through capabilities for grid-connected systems. This progression demonstrates his commitment to solving real-world engineering challenges in the transition to renewable energy. Dr. Yang has received professional recognition including: Senior Member of IEEE Corresponding Member of CIGRE Working Group C4.56 Topic chair, technical committee member, and reviewer for top-level conferences and journals in power electronics Dr. Yang actively supervises doctoral candidates and postdoctoral researchers, including Xiao Yang (working on AI for power electronics), Saizhao Yang (postdoc), and L.A. Vlaar. He serves as project manager for multiple significant research initiatives totaling over €5 million in funding: REDCON (2023-2028) - Reconfigurable power electronics testbench Flexible Offshore Wind Hydrogen Power Plant Module (2022-2026) Sectorplan-DCES-Y.D.inv.: Reconfigurable power electronics testbench (2021-2029) E2GO-RDC Cost-reduction of EV fast-charging station (2021-2026) CW620863 System impact analysis for large scale renewable hydrogen production (2022-2023) Dr. Yang leads research within the Electrical Energy Systems group at TU/e's High Tech Systems Center, focusing on power conversion technologies. His work connects with multiple research teams across Europe through collaborative projects focused on renewable energy integration, EV infrastructure, and hydrogen production systems. He also teaches the course 'Dynamic control of power conversion in renewable energy systems' and contributes to the UN Sustainable Development Goals related to affordable and clean energy.
Dr. Tarek Alskaif is an Associate Professor of Energy Informatics at Wageningen University & Research, specializing in the intersection of information technology and energy systems. He leads research on smart energy systems, focusing on electricity markets, distributed energy resources, and AI-driven solutions. His work integrates modeling, optimization, and big data analytics to advance the sustainable energy transition. Education: PhD in Energy Informatics (2012–2016, Cum Laude) from Universitat Politècnica de Catalunya, Spain. Postdoc at Utrecht University’s Copernicus Institute (2016–2020). Current roles include coordinating the BSc Data Science Minor and teaching Python and Big Data courses. Research interests emphasize leveraging digitalization for energy systems, including smart grids, electric mobility, and battery storage. Notable projects include HighLO Energy Markets (EU-funded, using particle physics and AI for market transparency) and MESSM (coordinated via TKI Urban Energy). He also leads the AI ELSA Lab (NWO-funded). Editorial roles include Associate Editor for IEEE Transactions on Smart Grid and IEEE Power Engineering Letters . Member of IEEE, the Netherlands Institute for Research on ICT (4TU.NIRICT), and the Technical Program Committee for IEEE SmartGridComm and PSCC 2026. Has supervised over 50 students (MSc/BSc) and 7 PhDs. Projects address challenges like grid congestion, EV charging optimization, and decentralized energy trading. His work bridges academic research with industry collaborations, including partnerships with CERN and ACER.
Dr. ir. Wina Crijns-Graus MSc is an Assistant Professor at the Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University since 2010. With a dual background in Energy Technology & Policy (MSc TU Eindhoven, 2001) and Energy Efficiency & GHG Emissions (PhD UU, 2010), she specializes in industrial energy systems, renewable energy integration, and climate policy analysis. Her work focuses on decarbonization pathways, energy statistics, and techno-economic modeling for sectors including power, steel, and cement. Education: MSc Technology and Society (TEMA) from Eindhoven University of Technology, PhD in International Energy Efficiency Comparisons from Utrecht University Expertise: Energy efficiency, renewable energy systems, industrial decarbonization, scenario analysis Her research program spans Pathways to Sustainability initiatives, particularly analyzing energy transitions in industrial contexts. Recent publications highlight her contributions to geopolitical economy of energy transitions and EU energy system decarbonization . She supervises multiple PhD candidates and leads interdisciplinary projects like M-BENEFITS (H2020) and sEEnergies (H2020). Scientific contributions include 15+ peer-reviewed articles in Environmental Science & Technology , Applied Energy , and Nature Climate Change . Awards include Senior Research Qualification (SKOz) and Senior Teaching Qualification (SKO) from Utrecht University (2020), and University Teaching Qualification (BKO, 2011). She serves on technical committees for international conferences on power systems and renewable energy.
Twan Basten is a Full Professor in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads research on embedded and cyber-physical systems, focusing on model-driven design, computational models, and system dependability. He holds an MSc (1993) and PhD (1998) in Computing Science from TU/e, advancing from Assistant to Full Professor by 2009, and became the Electronic Systems group chair in 2013. His research spans international projects (FP5-7, H2020, ECSEL) and Dutch initiatives (STW, NWO, RVO), with over 200 publications and seven best paper awards. He has co-supervised 21 PhD students and actively participates in program committees and conferences. His work contributes to UN Sustainable Development Goals through innovations in smart systems. Education: MSc in Computing Science, TU/e (1993) PhD in Computing Science, TU/e (1998) Research Interests: Explores design methodologies for embedded systems, including scenario-based design, real-time scheduling, and performance analysis. Specializes in model-driven engineering and computational models to ensure system dependability. Active in projects like TRANSACT (real-time systems) and SAM-FMS (flexible manufacturing). Key Contributions: Co-author of 1 book and over 200 scientific publications Recipient of seven best paper awards Co-supervised 21 PhD degrees Senior member of IEEE and lifetime member of ACM Labs & Teams: Leads the Model-Based Design Lab and contributes to EAISI High Tech Systems initiatives. Collaborates on tools like TRACE4CPS for execution trace analysis and CReTS for vehicle platooning simulation.
Stella Kapodistria is an Associate Professor at Eindhoven University of Technology's Department of Mathematics and Computer Science, specializing in Stochastic Operations Research. She holds roles as EAISI High Tech Systems Associate Professor and editorial board member of journals like MCAP and PEIS. Her research focuses on data-driven decision-making, stochastic systems optimization, and maintenance policies, with applications in renewable energy, critical infrastructure, and cryptocurrency networks. She has secured grants including NWA-ORC, NWO Big Data, and TKI WoZ, and collaborates with industry partners in the Brainport region. Education: BSc (2003), MSc (2006, Hons.), and PhD (2009, summa cum laude) in Mathematics from the University of Athens. Postdoc at TU/e, followed by roles at Groningen University and TU/e's Stochastic Operations Research group. Teaching includes courses on Optimal Decision Making, Stochastic Performance Modeling, and Financial Mathematics. Research interests emphasize real-time learning, system resilience, and scalable algorithms for complex networks. Recent work addresses maintenance logistics, blockchain confirmation times, and wind energy prediction. She has published over 40 peer-reviewed articles and contributed to the 4TU Resilience Engineering Center. Awards include editorial leadership roles and grant funding. Advised 32 academic works and oversees industrial projects bridging theory and practice. Her labs and collaborations focus on adaptive systems, predictive analytics, and sustainable engineering solutions.
Prof. Remko Boom is a Full Professor of Food Process Engineering at Wageningen University & Research. His research focuses on sustainable food systems, plant-based alternatives, and advanced food processing technologies such as 3D food printing, membrane filtration, and protein functionalization. Key areas include edible robotics, animal-free cheese alternatives via artificial casein micelles, and functional ingredient extraction from plant and insect-based sources. He collaborates globally on biorefinery processes and contributes to edible robotic systems through material science innovations. Education Background: PhD in Food Technology (exact details not specified) Master's/Undergraduate degrees in relevant engineering disciplines (not explicitly stated) Research Interests: Prof. Boom's work spans food process engineering with emphasis on: - Development of plant-based protein ingredients using mild fractionation techniques - 3D-printed food materials with tailored mechanical properties - Electrophoretic and membrane-based separation technologies for food components - Engineering edible casein micelles for cheese analogues - Biodegradable robotics using food-grade materials Recent Research Trends: Publications from 2024-2025 highlight advancements in: - 3D-printed starch cryogels and protein-based composites - Oleosome extraction and encapsulation of bioactive compounds - Functional characterization of artificial casein micelles - Edible robots powered by Marangoni propulsion Awards & Recognition: No specific awards listed in available data, though his work has received significant media attention including features on edible robotics and sustainable food innovations. Advising & Collaboration: Supervising 87+ PhD projects including work on: - Electrohydrodynamic drying - Brewer's spent grain valorization - Recombinant protein purification Active in industry partnerships for scaling-up electrophoretic separation and 3D food printing technologies Labs & Teams: Leads research groups focused on: - Advanced Food Processing Technologies - Sustainable Ingredient Development - Biorefinery Applications in Food Systems
Dr. Niels Hartog is a Guest Associate Professor in Environmental Hydrogeology at Utrecht University and Principal Scientist (Team Geohydrology) at KWR Water Research Institute. His expertise spans groundwater geochemistry, geothermal energy, managed aquifer recharge (MAR), subsurface thermal energy storage (ATES), and contaminant remediation. He leads research on sustainable groundwater use, energy systems integration, and subsurface engineering challenges. Research Interests: - Thermal energy storage in aquifers (ATES/HT-ATES) - Managed aquifer recharge (MAR) for water security - DNAPL source zone characterization and remediation - Geothermal energy systems and subsurface scalability - Coastal zone hydrology and variable-density flow Notable Contributions: - Pioneered use of multiple partially-penetrating wells (MPPW) to enhance ATES efficiency - Investigated methane migration risks from abandoned wells - Developed models for thermal recovery efficiency in heterogeneous aquifers - Co-authored over 110 publications on hydrogeology and environmental engineering Professional Roles: - KWR Water Research Institute: Leading geohydrology research for sustainable water solutions - Utrecht University: Teaching and supervising in environmental hydrogeology
Ulphard Thoden van Velzen is a Researcher at Wageningen University & Research , focusing on Sustainable Chemistry and Technology . His work bridges material science, environmental engineering, and policy analysis to advance circular economy solutions for plastic packaging. Active in plastic recycling and contamination pathways Develops sustainability assessment tools (e.g., MuDiSa) Collaborates on EU regulation impacts with stakeholders Investigates technical limits in polymer reuse His recent research emphasizes mechanical recycling efficiency, biobased polymers , and systemic barriers to circularity. Articles highlight contamination origins in HDPE milk bottles, enzymatic recycling strategies, and policy-driven transformations in waste management. He contributes to public-private partnerships like the SUR-PLAS-path project and frequently advises on Dutch recycling systems, EU packaging regulations, and contamination risks in food-grade materials. His 2025 Circular use of plastics in open field and horticulture report explores agricultural plastic reuse challenges.
Elham Shirazi is an Assistant Professor specializing in Advanced Manufacturing, Sustainable Products & Energy Systems . Her research aligns with UN Sustainable Development Goals, focusing on Energy Management , Smart Grids , and Artificial Intelligence applications in energy systems. She has an h-index of 10 and 577 citations, primarily in Machine Learning and Power Systems . Her recent publications highlight trends in PV Power Forecasting , Energy Storage Optimization , and Grid Stability . Key methodologies include Long Short-Term Memory (LSTM) , Deep Reinforcement Learning , and Wavelet Packet Decomposition , applied to Building-Integrated Photovoltaics and Multi-agent Systems for grid resilience.
Liesbeth Dries is an Associate Professor at Wageningen University & Research, specializing in Agricultural Economics and Rural Policy. Her work bridges economic theory with practical agricultural and environmental policy implementation across multiple continents. Key affiliations: WASS (Wageningen Academic Social Sciences), INRAE collaborations, Zenodo contributions Leadership roles: Project Leader for NOVASOIL, Promotor for PhD projects in Ethiopia, Ukraine, and Slovakia Her research focuses on agri-environmental policies , food systems resilience , and sustainable agricultural development , with notable work on supply chain dynamics and economic diversification in Mongolia. Recent publications analyze soil health business models , conflict impacts on agriculture , and water insecurity resilience in Nigeria. Scientific contributions include extensive datasets on short food supply chains and collaborative research with institutions in Europe, Asia, and Africa. She supervises doctoral projects examining policy impacts in post-conflict regions and climate adaptation strategies.
