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Gerrald BargemanView profile

Professor

University of TwenteNetherlands

Gerrald Bargeman is a Full Professor specializing in fluid separation processes, particularly focusing on distillation, nanofiltration, and membrane technology. His research spans chemical engineering, thermodynamics, and materials science, with a strong emphasis on optimizing separation processes for industrial applications. He has contributed to advancements in reactive distillation, solvent selection algorithms, and membrane design for extreme conditions. His work addresses challenges in desalination, sustainable chemistry, and process intensification. Research interests include thermodynamic modeling of phase equilibria, membrane performance under extreme pH, and solvent engineering for green chemical processes. Collaborative efforts involve developing novel nanofiltration membranes and improving reactive distillation column designs. Publications highlight contributions to membrane stability, solvent selection methodologies, and energy-efficient separation techniques. His research aligns with industrial needs for cost-effective and environmentally sustainable solutions. Notably absent from the profile are awards or formal student advisees. Key collaborations focus on optimizing separation technologies across chemical, food, and water industries.

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Jasper de JongView profile

Lecturer

University of TwenteNetherlands

Jasper de Jong is a Lecturer at the University of Twente's Department of Mathematics of Operations Research. His research focuses on game theory, algorithmic game theory, and operations research, with particular emphasis on equilibrium models, congestion games, and scheduling optimization. His work explores the efficiency of Nash and subgame perfect equilibria in network routing and resource allocation contexts. Key research contributions include analyzing the price of anarchy in congestion games, evaluating equilibrium quality in set packing and throughput scheduling scenarios, and investigating decentralized throughput scheduling mechanisms. His interdisciplinary work occasionally extends into medical research, such as developing clinical guidelines for epidural corticosteroid injections. Publications span topics ranging from theoretical game models to applied engineering solutions, reflecting his expertise in both abstract mathematical frameworks and real-world optimization problems. His most cited works address the inefficiency of equilibria in network routing and the asymptotic price of anarchy in congestion games.

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David DubbeldamView profile

Researcher

University of AmsterdamNetherlands

Dr. David Dubbeldam is a researcher at the University of Amsterdam's Faculty of Science, affiliated with the Van 't Hoff Institute for Molecular Sciences. His work focuses on molecular simulations of nanoporous materials and fluids, with a particular emphasis on developing and applying simulation software like RASPA, iRASPA, and RUPTURA. Research areas include adsorption, diffusion, and thermodynamics in nanoporous systems Develops simulation tools for computational chemistry and materials science Organizes workshops and educational schools on molecular simulation techniques His contributions to the field span over a decade, with recent advancements in GPU-accelerated simulations, force field development, and gas mixture separation technologies. The RUPTURA software enables breakthrough curve analysis and isotherm fitting, while RASPA3 offers significant performance improvements in Monte Carlo simulations of nanoporous materials.

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Rob J.M. WolfsView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Rob J.M. Wolfs is an Assistant Professor at Eindhoven University of Technology (TU/e), specializing in Structural Engineering and Design. He holds dual roles as a faculty member in the Built Environment department and as an EAISI High Tech Systems Assistant Professor. His academic background includes a MSc (2015) and a PhD (cum laude, 2019) from TU/e, both focusing on 3D concrete printing. His research emphasizes digital design, robotics-driven construction, and sustainable practices in architecture and engineering. Key interests include 3D concrete printing, quality control, and integration of machine learning for structural optimization. He serves as an Associate Editor for Springer’s Materials & Structures and has received prestigious awards like the 2022 Veni Grant and the 2024 RILEM Medal. Recent articles highlight advancements in quality control frameworks, data-driven manufacturing, and large-scale applications of 3D-printed concrete. His work often bridges theoretical models with practical field implementations, addressing both technical challenges and sustainability goals. Rob frequently collaborates internationally, including visiting research roles at IFSTTAR (France) and DTU (Denmark). He teaches courses on digital design, resource-efficient engineering, and construction technologies. Media engagements include expert commentary on 3D-printed housing and future construction trends.

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Matteo GazzaniView profile

Associate Professor

Utrecht UniversityNetherlands

Dr. Matteo Gazzani is an Associate Professor at the Copernicus Institute of Sustainable Development, Utrecht University, leading the Energy & Resources group. His research focuses on energy systems integration, particularly in advancing clean energy technologies through process synthesis, simulation, and material-science bridging. Key interests include CO₂ capture/storage, decarbonization of industries, and renewable energy infrastructure. Education: BSc/MSc in Energy Engineering (Politecnico di Milano), PhD cum laude in Energy and Nuclear Technologies. Notable roles include Senior Scientist (ETH Zurich) and Postdoc (ETH Zurich), with a visiting research stint at MIT (2011) funded by the Techint-Rocca Fellowship. Research Themes: Applied Data Science, Complex Systems, Sustainable Energy Transitions, and Urban Sustainability. Awards include the ASME-Turboexpo Best Paper (2012) and Energy & Fuels Rising Stars (2024). Recent work explores offshore energy storage, DAC integration with nuclear tech, and optimal hydrogen utilization. His projects address climate goals via innovative process designs and infrastructure synergies.

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Madeleine GibescuView profile

Professor

Utrecht UniversityNetherlands

Prof. Madeleine Gibescu is a Professor at Utrecht University's Faculty of Geosciences, affiliated with the Copernicus Institute of Sustainable Development in the Department of Energy and Resources. Her research focuses on energy transition pathways, sustainable development, power systems optimization, and renewable energy integration. She leads major projects like WIMBY (Wind in My Backyard) exploring social acceptance of large wind installations and E-Regio developing local energy markets. Her research interests concentrate on developing resilient energy infrastructure, grid modernization, and market mechanisms for renewable integration. She investigates optimization techniques for electricity markets, offshore wind systems, and smart grid technologies with emphasis on SDN-enabled IoT networks and virtualization of grid control systems. Gibescu's recent publications demonstrate strong trends in renewable energy systems optimization, particularly focusing on offshore wind integration, market design for variable renewables, grid resilience, and storage solutions. Her work consistently incorporates advanced computational methods including deep learning forecasting, robust optimization, and virtualization frameworks. She advises PhD candidates including Hsing-Hsuan Chen, Luis Eduardo Ramirez Camargo, and Leanda Vedder on projects related to sustainable energy systems. As principal investigator for Horizon Europe projects, she coordinates interdisciplinary teams developing novel solutions for energy transition challenges.

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Tsjerk WassenaarView profile

Researcher

Hanze University of Applied SciencesNetherlands

Tsjerk Wassenaar is a Researcher at the Hanze University of Applied Sciences in the Netherlands, affiliated with the Research Centre Biobased Economy . His work bridges Data Science , Artificial Intelligence , and Life Sciences , focusing on computational approaches to molecular and biomedical challenges. Research Interests : Molecular dynamics, integrative modeling of lipid structures, periodic boundary conditions in simulations, AI applications in health research (e.g., Nailfold Capillaroscopy for Systemic Sclerosis and Pulmonary Hypertension ). Recent Research Trends : Analysis of oncogenic mutations in ROS1 Kinase , computational modeling of SARS-CoV-2 envelope dynamics, and methodological advances in molecular simulation stability. His projects, such as CureQ (targeting neurodegeneration) and Nailfold Capillaroscopy , emphasize non-animal alternatives and translational medical applications. Academic Activities : Active as a principal investigator (PI) in interdisciplinary projects and examiner for PhD defenses, including Petteri Vainikka at the University of Groningen.

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Shahab Shariat TorbaghanView profile

Assistant Professor

Wageningen University & ResearchNetherlands

Dr. Shahab Shariat Torbaghan is a tenure-track Assistant Professor of Smart Grids in Urban Energy and Water Systems at Wageningen University & Research. His expertise spans mathematical models, operations research, decision support systems, optimization, stochastic processes, sustainable energy, green infrastructure, machine learning, and energy transition. He holds a B.Sc. in Electrical Engineering from the University of Tehran (2008), an M.Sc. from Chalmers University of Technology (2010), and a Ph.D. from Delft University of Technology (2015). He previously worked as a Postdoctoral Fellow at Eindhoven University of Technology (2015–2017) and as a Research Scientist at VITO/EnergyVille in Belgium (2017–2020). His research focuses on applying sequential decision-making under uncertainty to water and energy infrastructure modeling and optimization, leveraging convex optimization, combinatorial optimization, and machine learning (deep learning, reinforcement learning). He collaborates with the City of Amsterdam, AMS Institute, water companies, and academic partners like HZ University of Applied Sciences and Utrecht University. He participates in European H2020 projects such as Magnitude, FHP, and Coordinate. Dr. Torbaghan teaches courses including 'Sustainability Transitions,' 'Data-Driven Environmental Modelling and Optimization,' and 'Managing Urban Environmental Infrastructure.' His work intersects urban infrastructure transitions, energy storage arbitrage, hydrogen production, and market-based mechanisms for flexibility provision. He is a Senior Member of IEEE and part of INFORMS and the GO-P2P community.

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Bojan GeorgievskiView profile

Lecturer

Wittenborg University of Applied SciencesNetherlands

Bojan Georgievski, PhD, is a Lecturer at Wittenburg University of Applied Sciences. He holds a doctorate in Economic Sciences from the University of St Ciril & Methodius, Macedonia (2011), with two master's degrees in Corporate Finance/Banking and Sport Management. His expertise spans 6 years of teaching and 15 years of professional experience in Finance, Legal Affairs, and Education. Research focuses on financial crises, banking systems, sports economics, and real estate markets. He has published extensively on topics like sports club bankruptcy trends, income inequality impacts, and crisis management in global markets. His work bridges academic research with practical applications in policy and industry. Education: PhD in Economic Sciences (2011), University of St Ciril & Methodius Master's in Corporate Finance/Banking Master's in Sport Management Research interests include financial crisis impact analysis, banking sector dynamics, sports economics, and socio-economic policy implications. His articles explore topics like NBA performance metrics, regulatory frameworks in football, and the psychological effects of economic downturns. He has contributed to studies on cross-market financial crises in Europe, the US, and emerging markets. Notable articles highlight trends in sports finance, machine learning applications in sports analytics, and comparative case studies of corporate scandals. His work emphasizes policy solutions for financial sustainability and crisis prevention across industries. Bojan has no listed scientific awards but maintains active research collaborations. He advises on financial strategies for institutions in multiple sectors and has contributed to cross-disciplinary studies linking sports performance, economics, and public health.

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Douglas EleveldView profile

Assistant Professor

University of GroningenNetherlands

Douglas Eleveld is an Assistant Professor at the Faculty of Medical Sciences , University of Groningen, specializing in Pharmacokinetics , Pharmacodynamics , and Anesthesiology . His research focuses on drug modeling for anesthesia and sedation, with recent work on remimazolam, remifentanil, and propofol interactions. University: University of Groningen School: Faculty of Medical Sciences Email: d.j.eleveld@umcg.nl Research Trends: His publications emphasize pharmacokinetic/pharmacodynamic (PK/PD) modeling for anesthetics, drug delivery systems, and optimizing dosing strategies in diverse patient populations (premature infants to elderly). Key subfields include target-controlled infusion , hemodynamic stability , and clinical pharmacology . Professional Activities: Recently served as an invited speaker at the Association of Anaesthetists of Great Britain & Ireland conference (2025). Collaborates internationally on projects related to critical care and anesthesia.

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Ritske JongView profile

Professor

University of GroningenNetherlands

Ritske Jong is a Professor in Experimental Psychology at the Faculty of Behavioural and Social Sciences. His research utilizes electroencephalography (EEG) to explore cognitive mechanisms underlying attention, task-switching, and time perception. He investigates neural correlates of performance variability and decision-making under cognitive constraints. Research Focus: Jong's work spans attentional bias, temporal processing, and neurocognitive modeling. Key themes include EEG signatures of time perception, resit exam effects on learning investment, and implicit temporal regularities. His lab employs behavioral experiments and neuroimaging to dissect cognitive control mechanisms. Publication Trends: Recent articles (2017–2022) cluster in three domains: 1) EEG-informed temporal cognition studies, 2) attentional processing in learning environments, and 3) computational modeling of cognitive tasks. Cross-disciplinary collaborations extend to healthcare technology and educational psychology.

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Ritsert JansenView profile

Professor

University of GroningenNetherlands

Prof. Ritsert Jansen is a Professor at the University of Groningen, specializing in genetics and genomics with a focus on quantitative trait locus (QTL) analysis, systems genetics, and computational methods for genetic data. His research spans plant genomics, epigenetics, and the application of statistical genetics to understand complex traits. Notable contributions include the development of tools like FitTetra for tetraploid genotyping and reGenotyper for sample quality control. He collaborates internationally and has contributed to over 140 peer-reviewed publications. His work addresses both fundamental biological questions and applied challenges in healthcare and agriculture. Research Interests: Quantitative genetics and genomics Epigenetic variation and its effects Development of bioinformatics tools for genetic analysis Systems approaches to study gene expression networks Recent articles highlight advancements in high myopia care and genotyping methods, reflecting his interdisciplinary approach. His datasets and software tools, including those archived on figshare, emphasize reproducibility and open science.

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Patrick van ErkelView profile

Assistant Professor

University of AmsterdamNetherlands

Dr. Patrick van Erkel is an Assistant Professor at the University of Amsterdam's Faculty of Social and Behavioural Sciences. His research focuses on political polarization, electoral behavior, political knowledge, public opinion dynamics, and the impact of disinformation in democratic societies. He investigates how social media influences political information consumption and polarization, particularly in multi-party systems. His work also examines the effectiveness of news literacy interventions and fact-checking strategies against misinformation. Dr. van Erkel's recent studies explore the psychological underpinnings of political radicalization, the role of media bias perceptions, and the consequences of political violence on public sentiment. He has conducted large-scale comparative research across Europe and globally, addressing topics like misinformation during crises, voter decision-making processes, and institutional trust. His research employs experimental designs, survey methodologies, and longitudinal data analysis. Notable projects include studies on affective polarization in Belgium and the Netherlands, the impact of personalized political campaigns, and the cognitive mechanisms behind conspiracy theory engagement. Dr. van Erkel collaborates with international research networks and has contributed to policy discussions on media literacy and electoral integrity. Key themes in his work include: Evaluating the societal consequences of digital misinformation ecosystems Analyzing voter psychology in polarized environments Assessing the efficacy of counter-misinformation strategies Examining cross-cultural differences in media trust and political communication His 2023-2025 publications emphasize experimental approaches to understanding how media consumption patterns, political violence events, and institutional trust interact to shape democratic processes. Ongoing projects investigate the role of consent design in GDPR compliance and the psychological drivers of fact-check engagement during geopolitical crises.

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Ines LindnerView profile

Associate Professor

Vrije University AmsterdamNetherlands

Ines Lindner is an Associate Professor of Mathematical Economics at the Vrije Universiteit Amsterdam's School of Business and Economics (SBE). She earned her Diplom-Mathematikerin from the University of Hamburg in 1998 and a Ph.D. in Mathematical Economics in 2003. Her research focuses on social and economic networks, collective action, voting power dynamics, and technological innovation's impact on inequality. Lindner leads the SBE Innovation Center, which won the VU Innovation Prize in 2017 for the Online Summer Prep-Campus SBE. She is also a Tinbergen Institute Research Fellow. Her work bridges theoretical economics with practical applications, including analyzing network structures in social learning, fake news diffusion, and small-world effects on economic growth. Lindner has published in top journals like Journal of Development Economics and International Economic Review . She co-organizes major events like the TI Dutch Network Economics Day and the Networks Match Making Event, fostering interdisciplinary collaboration. Research highlights include quantifying bot influence on social consensus, modeling naive learning in networks, and exploring how small-world networks affect innovation diffusion and inequality. Lindner’s contributions to economic theory and network science have been recognized through awards and collaborative projects, including an NWO-funded study on social network analysis in organizations.

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E.S. KooijView profile

Associate Professor

University of TwenteNetherlands

E.S. Kooij is an Associate Professor at the University of Twente's Faculty of Science and Technology, affiliated with the MESA+ Institute and the Physics of Interfaces and Nanomaterials department. Their research focuses on nanomaterials, surface science, fluid dynamics, and biomedical applications. Kooij has published extensively since 2001, with over 255 peer-reviewed articles and two scientific awards. Key research interests include wetting phenomena, membrane separation, polymer science, and soft robotics. Recent work explores surfactant-laden films, 3D-printed soft sensors, and bionic prosthetic design. Collaborations span multiple countries, emphasizing interdisciplinary innovation in materials and biomedical engineering. Notable achievements include the Hellenthal Prize (2012) and contributions to clinical studies on treatment outcome communication. Kooij actively participates in conferences, presenting on topics like hygro-expansion measurement and exoskeleton control strategies. Their work bridges fundamental materials science with applied technologies for healthcare and robotics.

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