Markus Babin is a postdoctoral researcher at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU). His work focuses on solar photovoltaic systems, particularly in color technologies for building-integrated photovoltaics (BIPV) and optical characterization methods to assess visual appearance and angular-dependent performance. Research interests include enhancing the durability and reliability of glass-free lightweight PV modules, optimizing structural colored interlayers for BIPV applications, and evaluating glare potential in structured PV glass. His expertise aligns with the UN Sustainable Development Goals , emphasizing sustainable energy solutions. Recent publications highlight advancements in BIPV reliability, optical transmission loss analysis, and temperature distribution modeling for vertically mounted PV façades. Collaborations span projects with external institutions like the Österreichisches Forschungsinstitut für Chemie und Technik (OFI) and contributions to datasets on BIPV façade performance. Activities include conference presentations at EU PVSEC, participation in the International Energy Agency's Photovoltaic Power Systems Programme, and a visiting researcher role at OFI (2023).
Irene Shim is a Researcher at the Department of Chemistry, Technical University of Denmark (DTU), specializing in ab initio quantum chemical calculations and electronic structure analysis. Her work bridges theoretical chemistry with biochemical applications, particularly in redox metalloenzymes and nucleic acid therapeutics. Research Focus: Electronic states, chemical bonding, and molecular stability in metalloproteins and modified oligonucleotides. Projects: Managing long-term initiatives on molecular radicals and transition metal-containing systems since 1996. Her recent publications highlight collaborations with leading researchers like Hans Bohr and Jens Ulstrup, exploring protein conductivity mechanisms and drug delivery simulations. A 2021 Scientific Reports study demonstrated predictive models for antisense drug uptake, while her 2024 work in ChemistryOpen investigates substrate-triggered enzyme dynamics. Shim contributes to PhD supervision as an examiner, including projects on QSAR techniques for polysaccharide properties (1999-2002). Her research is supported by grants from Danish Research Councils and collaborations with institutions like Texas A&M University.
Thomas Edward Whitmarsh-Everiss is a Researcher at the Department of Chemistry , Technical University of Denmark. His work focuses on organic chemistry, biochemistry, and medicinal chemistry, with a specialization in sterol transport proteins and small molecule modulation. Research interests include: Development of pseudo-natural products as transport protein inhibitors Phenotypic profiling of estradiol-inspired compounds Structural analysis of intracellular sterol transport mechanisms Recent publications highlight trends in privileged scaffolds, ring distortion techniques, and biochemical characterization of sterol-related compounds. His research aligns with UN Sustainable Development Goals related to health and scientific innovation.
Rodrigo Moreno is an Assistant Professor at the IT University of Copenhagen, where he joined in 2020. His research focuses on applying AI and machine learning to robotics, with special emphasis on evolutionary robotics, modular robots, and lab automation, particularly for battery chemistry synthesis processes in the BIG-MAP project. His educational background includes a PhD in Systems and Computer Engineering (2019), an MEng in Industrial Automation (2010), and a BSc in Mechatronics Engineering (2008), all from Universidad Nacional de Colombia. His research interests span Artificial Intelligence, Machine Learning, Robotics, Evolutionary Robotics, Modular Robots, Lab Automation, Battery Chemistry Synthesis, and Emergence. His recent publications demonstrate significant work in modular robot evolution, with experiments varying base lengths and analyzing fitness, number of modules, and structural properties. His research employs evolutionary algorithms to optimize robot morphology and control, with applications extending to laboratory automation for battery chemistry. The BIG-MAP and EMERGE projects represent his current major research directions, bridging robotics with chemical synthesis automation. Evolution of modular robots with variable morphologies CPG parameter optimization for robot locomotion Statistical analysis of evolutionary outcomes Lab automation for battery chemistry synthesis His GitHub repositories show active development of research code for evolutionary robotics experiments, with a focus on quantitative analysis and visualization of evolutionary processes. His work demonstrates a strong integration of theoretical evolutionary computation with practical robotics applications.
Nicolaj Østerby Jensen is a Postdoctoral Researcher at the Department of Computer Science, The Technical Faculty of IT and Design, Aalborg University, working within the Section for Distributed, Embedded and Intelligent Systems in the Data Engineering, Science and Systems group. His research is focused on formal methods and model checking with applications in distributed systems and timed automata. His research interests include Model Checking, Temporal Logic, Timed Automata, Dependency Graphs, Formal Verification, and Distributed Systems. Jensen's work primarily involves developing algorithms and frameworks for verifying properties of complex systems, with particular emphasis on timed systems and distributed model checking approaches. Jensen's publication record shows consistent output from 2020-2025, with his most recent work in 2025 focusing on symbolic algorithms for timed ATL with abstractions and token elimination in Petri net model checking. His research demonstrates a strong focus on improving efficiency and scalability of model checking techniques for complex systems. His work has been published in prestigious venues including CONCUR, TACAS, GandALF, and ICFEM, indicating recognition within the formal methods community. The citation metrics suggest his research is gaining traction in the field, with several publications receiving multiple citations. Based in Aalborg, Denmark, Jensen collaborates extensively with colleagues including Kim G. Larsen, Jirí Srba, and other researchers at Aalborg University, contributing to the institution's strong reputation in formal methods and verification.
Janus Juul Eriksen is an Associate Professor in the Department of Chemistry at the Technical University of Denmark (DTU), actively engaged in quantum chemistry research and PhD supervision. His work bridges theoretical developments with practical applications in electronic structure theory and computational chemistry. Dr. Eriksen's research focuses on quantum chemistry methods, particularly electronic structure theory, many-body physics, and machine learning applications in chemistry. His fingerprint analysis shows significant contributions to Molecular Orbital Chemistry (100%), Atomic Orbital Chemistry (57%), Electronic State Chemistry (42%), and Density Functional Theory (28%). His work develops advanced computational techniques for analyzing electronic properties of molecules and materials with applications in materials design and catalysis. His recent publications demonstrate expertise in atomic decompositions, active space methods, and neural networks for chemical applications. Key works include 'Atomic Decompositions of Periodic Electronic-Structure Simulations' (2025), 'MBE-CASSCF Approach for the Accurate Treatment of Large Active Spaces' (2024), and 'Transferability of atom-based neural networks' (2024), showing his leadership at the intersection of quantum chemistry and machine learning. Dr. Eriksen currently supervises three PhD students on projects related to electronic structure simulations in composite phases, decomposed machine learning in quantum chemistry, and mean-field decompositions of solid-state systems. His research has practical applications in materials design, catalysis, and understanding fundamental chemical properties as indicated by project keywords including 'Novel Material 100%', 'Materials Design 100%', and 'Chemical Property 100%'. Beyond technical research, Dr. Eriksen contributes to academic policy discussions in Denmark, with publications addressing university reform, research policy, and academic freedom, demonstrating his engagement with broader scholarly and societal issues.
Leon Mishnaevsky Jr. serves as Senior Scientist at the Technical University of Denmark (DTU) Department of Wind and Energy Systems and Privatdozent (Lecturer) at Technical University of Darmstadt, Germany. His research bridges computational materials science and wind energy engineering, focusing on durability challenges in renewable energy infrastructure. He leads the Composites Analysis and Mechanics group within DTU's Wind Energy Materials and Components Division, directing critical investigations into blade erosion mechanisms and sustainable material solutions. His research portfolio centers on wind turbine blade integrity , with expertise spanning computational mesomechanics, nanosimulation of composites, and erosion modeling. Key focus areas include rain/solid-particle leading-edge erosion, self-healing composite systems, microplastic pollution mitigation, and sustainable blade lifecycle management. His methodologies integrate multiscale modeling, experimental validation, and field data analysis to address real-world engineering failures in extreme environments. Analysis of recent publications reveals dominant trends in erosion prediction (72% of works), composite recycling (18%), and self-healing materials (10%). The field increasingly emphasizes probabilistic modeling of stochastic damage processes, nanoreinforced protective coatings, and environmental impact quantification – particularly microplastic emissions from blade degradation. Computational frameworks now prioritize multi-physics coupling (fluid-structure interaction, thermomechanics) and AI-enhanced predictive capabilities. Stanford’s list of top 2% scientists in the world Research.com list of Top Materials Scientists globally Author of 3 authoritative textbooks including Computational Mesomechanics of Composites (Wiley) As principal investigator, he directs 5 major projects including PREMISE (€2.3M Velux Foundation grant preventing microplastic pollution) and WiseWind (Innovation Foundation project for sustainable blades). His supervision portfolio includes 4 PhD/Master's students working on erosion modeling and repair techniques. Current grants total over €8M from Danish/EU sources, with strong industry partnerships across Germany, India, and France. He chairs the DURALEDGE consortium developing durable leading-edge protection systems for 25+ MW offshore turbines. Mishnaevsky coordinates DTU's Wind Energy Materials and Components Division, which operates advanced testing facilities for erosion simulation, composite characterization, and digital twin development. His team collaborates with the IEA Wind Task 46 Erosion group and maintains the PREMISE field-testing site in Roskilde. Recent initiatives include the MAINTAINERGY project establishing India-Denmark repair standards and the NEXTgenT consortium designing next-generation turbine rotors.
Jacob Steen Møller is a Danish academic administrator currently serving as Director of Facilities and Real Estate at the Technical University of Denmark (DTU) since 2009, with previous leadership as Head of the Department of Civil Engineering from 2003-2009. His career spans both academic and industry sectors, including 19 years at DHI Water & Environment where he progressed to division director, and he holds a PhD in Environmental Hydraulics from DTU (1984). His educational background includes: PhD in Environmental Hydraulics, Technical University of Denmark (1984) MSc in Civil Engineering, Technical University of Denmark (1980) Basic military training, Corps of Engineers, Farum (1981) Møller's research focuses on facilities management, civil engineering, environmental impact assessment, hydraulic engineering, and applied oceanography. His work particularly emphasizes sustainable building practices, water resource management, and strategic campus development. He has made significant contributions to major infrastructure projects including the Øresund and Great Belt Links, where he developed the 'Zero Impact Solution' guaranteeing no environmental impact on the Baltic Sea from these fixed links. His publication trajectory shows a clear evolution from pure hydraulic engineering toward facilities management and sustainability in university operations. Early work concentrated on stratified flow and environmental hydraulics with publications like 'Mixing in stratified flow caused by obstacles' (1997), while recent publications address sustainable building practices, value analysis in facilities management, and strategic university planning as seen in 'Value adding FM in practice' (2019). This research bridges engineering science with practical applications in large-scale infrastructure and campus development. Møller has held numerous leadership positions including Chairman of G.A. Hagemanns Kollegium (2012-date), Chairman of DTU-HF amba. (2011-date), and elected member of Realdania's Board of Representatives (2010-date). He previously served as Chairman of the Academy Council at the Danish Academy of Technical Sciences (2010-2013) and has been active in various committees related to engineering, facilities management, and sustainable development. Through his role as Manager for the International Research School in Civil Engineering at DTU and various examiner appointments at DTU and Aalborg University (1990-2003), Møller has contributed to academic mentoring. His project leadership includes significant grants for infrastructure projects like the Femern Belt Link hydrographic investigations (2007-2010) and the Nord Stream Gas Pipeline impact studies (2009-2010). While not leading a traditional research lab, Møller has directed major research initiatives including the Realdania Centre for Facilities Management and DHI's strategic R&D projects such as Operational Water Forecasting. His work connects academic research with practical applications in civil engineering and facilities management through various institutional partnerships and international projects across multiple continents.
Philipp Ulrich Haselbach is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in structural design and testing of wind turbine blades. His research focuses on composite materials, fatigue and fracture mechanics, and advanced numerical modeling techniques for wind energy systems. Contributions: Structural analysis of wind turbine blades, manufacturing process modeling for hybrid fiber composites, multi-fidelity simulation frameworks, and residual stress prediction in thermosets. Sustainable Development Goals: His work aligns with SDGs related to affordable and clean energy (7), industry innovation (9), and climate action (13). Publication Trends: Recent articles emphasize structural performance prediction, composite manufacturing optimization, and fatigue/fracture analysis in wind turbine blades. Key methodologies include finite element modeling, vacuum-assisted resin infusion, and experimental validation of bio-based materials. Supervision: He actively supervises PhD and Master’s students in projects involving blade material innovation (e.g., hemp fibers and bio-resins), cure-induced defect analysis, and computational frameworks for hybrid composite structures.
Henrik Karring is a Professor at the Department of Green Technology (IGT) within the Faculty of Engineering at the University of Southern Denmark. His research focuses on biocatalysis, protein engineering, environmental microbiology, and analytical chemistry, with applications in biotechnology, pharmaceuticals, and sustainable chemistry. Key research themes include enzyme immobilization, microbial processes for plastic degradation, and mitigation of agricultural emissions. Active in teaching courses like Industrial Fermentation and Modelling of Bioprocesses, Protein and Bioproducts Technologies, and Basic Biochemistry and Microbiology. Recent research trends from his publications show emphasis on supramolecular enzyme-cell engineering, photoenzymatic catalysis, and sustainable solutions for plastic degradation and manure emission control. His work integrates biotechnology with environmental applications. Scientific Awards: Syddansk Universitets Innovationspris 2024 Teknisk Fakultets Innovationspris 2024 Grants from the Danish Ministry of Environment and Food (2015), Griffith University (2015), and Foundation Idella (2012) Henrik serves as a censor at Aarhus University and contributes to consultancy for the Danish Climate Council. His work includes collaborations with international institutions and extensive peer-review activities.
Eva Arnspang Christensen is Associate Professor and Head of the Biotechnology Section at the University of Southern Denmark (SDU), Faculty of Engineering, Department of Green Technology. She also leads the Molecular Biophotonics research group and is an elected member of the Danish Board on Research Misconduct and evaluator for Marie Skłodowska-Curie fellowships. Education Ph.D. in Biophysics, University of Southern Denmark (2010) M.Sc. in Molecular Biology & Physics, University of Southern Denmark (2005) B.Sc. in Molecular Biology, University of Southern Denmark (2003) Research Focus Eva’s work integrates advanced optical microscopy—super-resolution, single-molecule and coherent Raman imaging—with quantitative biophysical analysis to decode membrane organization and receptor dynamics in living cells. She investigates nanoscale lipid domains, G-protein coupled receptors such as the angiotensin II type-1 receptor, and the cellular uptake of nanoparticle drug-delivery systems. Her recent projects extend to label-free chemical imaging of lignocellulosic biomass and epigenetic diagnostics of cancer via methylation-specific qPCR. Publication Trends Since 2021 her 15 most-cited articles revolve around three converging themes: (i) super-resolution mapping of membrane protein nano-organization, (ii) development of optical tools for cancer diagnostics (microsatellite instability, DNA methylation), and (iii) biophysical characterization of therapeutic nanoparticles and bioactive compounds. These works showcase a trajectory from fundamental membrane biophysics to translational applications in oncology and biotechnology. Awards & Honours Villum Young Investigator Grant (DKK 8.1 million, 2018) Carlsberg Postdoctoral Fellowship (2014) FNU Sapere Aude Young Elite Researcher Grant (2013) European Biophysics Congress Poster Prize (2007) Spectral Conflict Competition Winner, Marine Biological Laboratory (2007) Grants & Supervision Eva has attracted > DKK 12 million in competitive funding and currently supervises several post-doctoral researchers and PhD students within the Molecular Biophotonics group. In 2019 she co-designed new BSc and MSc programmes in chemical engineering and biotechnology at SDU. Teaching & Outreach She is programme coordinator and founder of the cross-institutional PhD course “Fluorescence and Photonics” (5 ECTS) and the national MSc course “Bioimaging” (9 ECTS). She has taught first-year physics, biology and mathematics for science and engineering students since 1999 and participates in high-school outreach and media engagement (>40 press contributions).
Morten Hartvig Hansen is a Professor at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering and SDU Mechatronics (CIM). His research specializes in wind turbine dynamics, aeroelasticity, and structural optimization, with applications in renewable energy systems. He actively contributes to EU-funded projects like EUROFusion BB RH facility and engages in media dissemination of wind energy advancements. His research interests focus on: Wind Turbine Design : Aeroelastic tailoring, multi-rotor dynamics, and load mitigation strategies. Structural Dynamics : Bend-twist coupling, modal analysis, and vibration control. Renewable Energy Systems : Optimization of turbine performance and reliability. Publications emphasize computational modeling of wind turbine behavior, with recent work advancing nonlinear model reduction and blade tracking technologies. Teaching includes courses like Mechanical Design and Build and supervision of bachelor theses in mechanical engineering.
Shouvik Chaudhuri is a Research Fellow at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). Holding a PhD and postdoctoral qualifications in Mechatronics, he conducts research in control systems and electrohydraulic actuation. His educational background includes advanced training in mechanical and electrical engineering systems. Dr. Chaudhuri's research focuses on nonlinear control methodologies with applications spanning: Electrohydraulic actuation systems and motion control Marine vehicle stabilization and control systems Energy-efficient refrigeration and thermal management Robust control applications in biomedical devices Mechatronic systems integration with vision-based sensing His recent publications demonstrate strong cross-disciplinary collaboration, particularly in marine engineering, thermal systems, and biomedical applications. Research frequently incorporates advanced control strategies including sliding mode control, adaptive neural networks, and fuzzy logic implementations. Dr. Chaudhuri actively supervises student projects in mechatronics and control systems, including: Trajectory generation for CNC foam cutting machines Autonomous aerial mapping using drone-based SLAM Electrohydraulic valve systems for pharmaceutical applications Diesel dosing units for exhaust system testing He maintains laboratory activities through SDU Mechatronics (CIM) research group, focusing on experimental validation of electrohydraulic systems and marine control technologies.
Elma Ramic is a Ph.D. student at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, focusing on motion sickness in offshore wind industry vessels. Her work bridges academic research with practical applications through projects like ShippingLab II and the SDU Maritime Research Platform . Research Areas : Structural Engineering, Motion Sickness, Offshore Wind Industry, Naval Architecture, Ergonomics, Operation and Maintenance. Her research examines the role of multi-degree-of-freedom vessel motion in provoking seasickness, leveraging her master’s background in structural engineering and prior industry experience. Publications include empirical studies and reports on motion sickness prevention, data acquisition, and crew comfort optimization. Active collaborations with researchers like Maria Lützen and institutions in maritime engineering highlight her integration into broader networks. She contributes to projects addressing lifecycle costs, digital twins, and human-centered maritime design.
Luis David Avendaño-Valencia is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark's College of Engineering. His research focuses on structural dynamics, monitoring, and damage detection under time-dependent environmental and operational conditions, integrating signal processing, statistics, and machine learning. Education: PhD in Mechanical and Aeronautical Engineering (2016), BEng in Electronic Engineering (2007) External Roles: External Censor at Censorkorps (2023–present), Member of the Danish Center for Applied Mathematics and Mechanics (DCAMM) (2018–present) His work emphasizes system identification and damage diagnosis algorithms for wind turbines, marine systems, and other structures. Key methodologies include Gaussian Process Regression, Bayesian updating, and Linear Parameter Varying (LPV) models. He has contributed to offshore wind turbine blade diagnostics, marine diesel engine monitoring, and uncertainty quantification in vibration analysis. Recent publications highlight hybrid physics-data-driven approaches and multivariate regression techniques to mitigate environmental/operational variability. Collaborations span maritime engineering, wind energy, and machine learning-based diagnostics. He teaches courses on machine learning for structural monitoring, structural vibrations, and time-series methods. Supervision includes PhD projects on digital twins of axial piston pumps and operational regime clustering for wind turbines.
