Aisha Ameen is a Researcher in the Department of Veterinary and Animal Sciences (Pathobiological Sciences) at the University of Copenhagen's Faculty of Health and Medical Sciences, holding dual appointments as Research Assistant and Guest Researcher. Her research centers on Alzheimer's disease mechanisms with emphasis on astrocyte metabolism, glucose/glutamate dynamics, and short/medium-chain fatty acid roles. She employs functional metabolic mapping, dMRI, immunohistochemistry, and hiPSC models to investigate neurodegenerative processes at cellular and systemic levels. Analysis of her 2022-2025 publications reveals consistent focus on metabolic dysregulation in Alzheimer's pathology, particularly astrocyte energy substrate competition and fatty acid interventions. Her work bridges neuroscience, metabolism, and translational disease modeling with significant citation impact and media attention.
Aberham Hailu Feyissa is an Associate Professor at the National Food Institute of the Technical University of Denmark , specializing in process modeling and sustainable food engineering. His research bridges complex transport phenomena with practical food manufacturing challenges. Ph.D. in Food Process Engineering, Technical University of Denmark MSc in Food Science, K.U.Leuven and Universiteit Gent BSc in Chemical Engineering, Bahir Dar University His work focuses on coupled mass and heat transfer during solid food processing, aiming to develop robust first-principles models for predictive process optimization. Key applications include Ohmic heating , digital twin technology , and bioactive ingredient extraction . Recent publications highlight his contributions to sustainable food processes , including insect-based feed modeling , seaweed bread kinetics , and clean-label cheese formulation . His methodological innovations span FTIR spectroscopy , computational fluid dynamics , and kinetic modeling . Supervisor for PhD students S. S. Turgut , M. E. Jabali , and Dahal S. Principal Investigator for projects like Modelling and Digitalisation of Food Processes and Sustainable Extraction of Bioactive Insect Fractions Active in conference presentations and peer review , he drives advancements in food process understanding through mechanistic modeling and mathematical simulation .
Arthur Merkel is a Research Fellow in the Department of Food Science at the University of Copenhagen, specializing in membrane and electromembrane processes for the dairy industry. His research focuses on electro-chemical membrane systems, including electrodialysis and bipolar membrane electrodialysis, for applications in dairy processing and sustainable food production. His primary research interests include membrane technology for dairy science, particularly in the areas of whey processing, electro-acidification, and demineralization. He investigates fouling and scaling of ion-exchange membranes and promotes green and sustainable science in food engineering. His work bridges fundamental electrochemical processes with industrial dairy applications. Recent publications (2021-2025) demonstrate a strong trend in applying electrodialysis and bipolar membrane electrodialysis to dairy streams such as skim milk and whey, with a focus on improving process efficiency, valorizing byproducts, and addressing challenges like fouling and scaling. His research integrates experimental and modeling approaches to optimize membrane processes for sustainable dairy production. Merkel actively contributes to the scientific community through peer review for several journals: Desalination Separation and Purification Technology Future Foods He is a member of the European Membrane Society and the Czech Membrane Platform, and has participated in conferences including EuroMembrane 2022 and the European Membrane Summer School (2024).
Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.
Roberta Sinatra is a Professor in Social Data Science at the University of Copenhagen, with part-time affiliations at ITU Copenhagen, ISI Foundation (Italy), and CSH (Austria). She co-founded the NERDS Research Group at ITU and co-leads the Pioneer Centre for AI in Copenhagen. Research Interests: Her work spans computational social science, network science, and data science, focusing on fairness in AI, scientific careers, and human mobility. Recent projects include analyzing child protection algorithms and modeling urban bicycle networks. Scientific Awards: ERC Consolidator Grant Villum Young Investigator Grant Complex Systems Society Junior Prize DPG Young Scientist Award for Socio- and Econophysics Sapere Aude: Starting Grant Publications: Her research, often in top-tier venues like Nature and Science , explores interdisciplinary themes, including AI ethics, gender disparities in science, and social network dynamics. Labs & Teams: She leads research initiatives at the Center for Social Data Science (KU) and co-founded the NERDS Research Group at ITU, fostering international collaboration in network science and AI ethics.
Zoran Cenev holds a Tenure Track Assistant Professor position within the Mechatronics and Dynamics section of the Department of Mechanical and Production Engineering at the School of Engineering, Aarhus University. His primary institutional affiliation is with AU Engineering, and contact details include email zoran.cenev@mpe.au.dk and telephone +45 20 64 75 44, with office location Aarhus N, 5128-140. Research interests focus on interdisciplinary applications of magnetic and robotic systems: Robotic micromanipulation via electromagnetic needles Ferrofluid-based biofabrication for skeletal muscle engineering Laser-induced photothermal droplet control Theoretical modeling of particle dynamics at fluid interfaces Surface engineering for underwater metallic stability Nanostructure formation through ion bombardment His recent publications (2023-2025) reveal a dominant trend in adapting ferrofluids for biomedical automation, particularly 3D bioprinting of magnetically responsive tissues and droplet manipulation on engineered surfaces. This work bridges mechanical engineering with regenerative medicine, emphasizing practical implementations of theoretical models for microscale precision. Scientific awards are not documented in the provided information. As a faculty member, Dr. Cenev likely mentors graduate students and pursues research grants, though specific advisees or funding details are absent. Departmental laboratories and workshops support his experimental work in mechatronics, with emphasis on magnetic manipulation systems and surface characterization.
Ninette Pilegaard is a Professor and serves as Deputy Head of Division and Head of Section for Transport Policy at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). Her academic career spans multiple research domains with significant contributions to transportation policy and economics. Her research interests focus on transportation policy analysis with particular expertise in: Road charging systems and pricing mechanisms Bicycle infrastructure and safety analysis Commuting behavior and accessibility impacts Car ownership and usage patterns Relationship between transportation accessibility and labor market outcomes Dr. Pilegaard's scholarly work demonstrates a strong empirical approach combining transportation engineering with economic analysis. Her recent publications reveal a consistent focus on evidence-based policy evaluation, particularly in the Danish context. She frequently employs quasi-natural experimental methods to assess transportation policy impacts, with particular attention to road pricing, cycling infrastructure, and the economic implications of transportation systems. Her research has been supported by major funding bodies including Innovation Fund Denmark and Forskningsrådsfinansiering, and has resulted in publications in high-impact transportation journals such as Transportation Research Parts A and D, and Journal of Safety Research. As an academic supervisor, Dr. Pilegaard has served as Main Supervisor for PhD projects, including the 'Productivity and agglomeration' project. She has been actively involved in numerous research collaborations both within DTU and with external partners. Her laboratory work focuses on transportation data analysis, particularly utilizing Danish transportation datasets to examine policy impacts. She has developed expertise in analyzing hospital data for traffic safety research and has contributed to methodologies for assessing infrastructure effects on traffic accidents.
Claus Hélix-Nielsen is a Professor and Head of Department at the Department of Environmental and Resource Engineering, DTU Sustain, Technical University of Denmark. His research focuses on lipid-protein interactions, biomimetic membranes, membrane transport, and membrane channel proteins, utilizing electrophysiology, fluorescence spectroscopy, and computational modeling. Current Position: Professor and Head of Department Institution: Technical University of Denmark Research Unit: DTU Sustain Department: Environmental and Resource Engineering Research Interests: Dr. Hélix-Nielsen investigates how the hydrophobic coupling between transmembrane proteins and lipid bilayers regulates protein function through bilayer mechanical properties. His work also explores how these properties influence membrane dynamics, including vesiculation. He develops biomimetic membranes for biosensor and separation technologies, employing advanced techniques like Raman spectroscopy and molecular dynamics simulations. Recent Publications Trends: His 15 most recent articles emphasize biomimetic membrane engineering, membrane biophysics, and applications in environmental and biomedical fields. Topics range from artificial ion channels and drug delivery systems to computational modeling of lipid-protein interactions and environmental monitoring sensors. Techniques: Key methodologies include electrophysiology, fluorescence spectroscopy, electron paramagnetic resonance, Raman spectroscopy, and molecular dynamics simulations.
John Bagterp Jørgensen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational methods for Model Predictive Control (MPC), numerical optimization, and dynamic optimization, with applications in industrial processes, biomedical systems, and sustainable energy. He holds leadership roles in 2-control ApS, a company developing advanced control solutions for industries such as cement production and oil recovery. Education: PhD and M.Sc. in Technical Sciences from DTU (1997–2005 and 1991–1997). Professional experience includes roles as an Assistant Professor at DTU and CTO/CEO at 2-control ApS. Research interests span MPC algorithms, numerical methods for differential equations, and system identification. His work bridges academia and industry, addressing challenges in energy efficiency, vaccine manufacturing, diabetes treatment, and cement production processes. His recent articles emphasize industrial applications of control systems, including cement rotary kiln dynamics, vaccine production optimization, and dual-hormone artificial pancreas development. He has received the Nordic Energy Research Award (1994) and contributed to UN Sustainable Development Goals related to affordable energy and industrial innovation. Advising and grants: Supervises multiple PhD projects on topics like electrification of industrial processes and sustainable SCP production. Collaborates with global institutions on energy and biomedical research. Labs/teams: Leads teams in DTU’s Scientific Computing and Center for Energy Resources Engineering, with active partnerships in industry and academia.
Birgitte Bak-Jensen is a Professor at the Department of Energy, Aalborg University, where she has worked since 1988. She specializes in intelligent control of power distribution systems, with research focusing on grid stability, power quality, and integration of dispersed generation and smart grid technologies. Her work also addresses multi-energy system interactions between electrical grids, heating, and transport sectors. Projects : Led EU H2020 projects (SERENE, SUSTENANCE) and Danish initiatives (EFFORT, SMARTCE2H) Publications : Over 250 papers on distribution grid control and smart energy systems Her research combines renewable energy integration , electric vehicle grid interaction , and energy storage optimization . Recent work includes explainable AI for wind forecasting and voltage control strategies for EV charging. 2025 Awards : Best Student Paper Award (2023), Best Paper Award (2021), CIGRE Technical Council Award (2018) Organizational Roles : Vice Head of AAU Energy Research, leadership positions in IEEE and CIGRE
Dorte Hammershøi is a Professor in the Department of Electronic Systems at The Technical Faculty of IT and Design, Aalborg University, Denmark. Her research focuses on acoustics, sound engineering, and hearing science with significant contributions to human hearing, ear canal acoustics, and audio technology applications. Her research interests include: Temporary Threshold Shift and frequency resolution in human hearing Ear canal acoustics and sound pressure level measurement Distortion Product Otoacoustic Emission (DPOAE) analysis Impulse response and acoustic impedance studies Hearing aid technology and rehabilitation methodologies Virtual reality audio interfaces and accessibility applications Professor Hammershøi's recent publications demonstrate a strong clinical-engineering interdisciplinary approach, bridging theoretical acoustics with practical hearing rehabilitation applications. Her work on hearing aid fitting methodologies, occupational noise exposure effects, and virtual reality audio interfaces shows consistent innovation in translating engineering principles to clinical practice. The research shows particular attention to individualized hearing solutions and accessibility technologies. Her scientific contributions have been recognized with: Dansk Lydpris 2020 (awarded November 17, 2021) Ambassadør for Aalborg (awarded September 15, 2004) Professor Hammershøi has supervised 5 PhD students and led numerous research projects including the ongoing "Audio Only VR for Blind Gamers" project (2024-2028) funded by the Independent Research Foundation of Denmark, and the completed "BEAR: Better Hearing Rehabilitation" project (2016-2022). Her research has attracted significant media attention with 110 press/media appearances discussing hearing damage prevention, tinnitus, and public health implications of noise exposure. She maintains active professional engagement through committee memberships (46 documented activities), international collaborations, and contributions to clinical practice guidelines. Her work continues to influence both academic research and practical applications in hearing science and audio engineering.
Tina Eliassi-Rad is Professor and the Inaugural Joseph E. Aoun Chair at Khoury College of Computer Sciences, Northeastern University in Boston. She serves as Core Faculty at the Network Science Institute and holds External Faculty positions at both the Santa Fe Institute and Vermont Complex Systems Institute. Additionally, she maintains Affiliated Faculty status across six Northeastern University institutes including the NULab for Digital Humanities and Computational Social Science, Global Resilience Institute, Cybersecurity and Privacy Institute, Institute for Experiential AI, and Internet Democracy Initiative. Her research spans: Data Mining & Machine Learning Network Science & Complex Systems Artificial Intelligence & Society She leads two major research initiatives: Trustworthy Network Science , which addresses explainability, transparency, stability, and robustness in network science ML algorithms; and Just Machine Learning , which examines broader complex systems where ML operates to understand and mitigate risks. Her work bridges theoretical foundations with societal applications. Dr. Eliassi-Rad's publication record demonstrates consistent focus on applying network science to critical societal challenges. Her recent research examines pandemic mobility patterns and cybersecurity threats using network-based approaches that combine epidemiological modeling with network analysis techniques. She actively mentors doctoral students through her RADLAB research group, currently advising PhD candidates Wan He (Network Science) and David Liu (Computer Science), along with PhD students Zohair Shafi and Samantha Dies (Computer Science). Her research has secured funding from prestigious organizations including the National Science Foundation, Department of Defense, Defense Advanced Research Projects Agency, Army Research Lab, and others. As leader of RADLAB, she directs research at the intersection of data science, network analysis, and societal impact, with particular emphasis on ensuring that technical advances in AI and network science serve societal needs responsibly and equitably.
Tom Brughmans serves as Associate Professor in Classical Archaeology at Aarhus University's School of Culture and Society, where he pioneers the application of network science and computational modeling to archaeological questions. His work bridges theoretical archaeology with complexity science, focusing on long-term economic dynamics in the Roman Empire through quantitative analysis of material culture distribution. His research centers on developing methodological frameworks for archaeological network analysis, with specific expertise in Roman economic integration, amphorae trade networks, and agent-based simulation of ancient economies. Brughmans advocates for computational reproducibility and open-science practices, creating accessible tools that transform complex archaeological data into analyzable network structures while challenging traditional interpretations of Roman market systems. Brughmans' publication trajectory reveals three dominant trends: advancing theoretical foundations of archaeological network science through handbooks and methodological guides; empirical investigations into Roman economic complexity using big-data approaches to amphorae distributions; and development of public-facing simulation platforms that translate academic research into interactive experiences. His work consistently integrates computational techniques with archaeological evidence to model socio-economic processes across centuries. His scientific recognition includes prestigious competitive fellowships: Leverhulme Early Career Fellowship (2017-2019) for the MERCURY project Marie-Curie Individual Fellowship (2019-2020) for SIMREC Brughmans directs multiple major research initiatives including the Past Social Networks Project (an open repository for ancient network data), NEFLARA (a Marie-Curie project developing landscape archaeology frameworks), and MINERVA (focused on Roman economic functioning). He has secured substantial funding from the Leverhulme Trust, Marie-Curie Actions, and ERASMUS+ for projects advancing computational archaeology, while actively promoting collaborative research through platforms like FORVM that make economic modeling accessible to broader audiences. As a core member of Aarhus University's Centre for Urban Network Evolutions (UrbNet), he contributes to interdisciplinary investigations of ancient urban connectivity. His leadership extends to developing international research networks through the Oxford Handbook of Archaeological Network Research and creating open educational resources that democratize access to network analysis methodologies in archaeology.
Torsten Berning serves as Associate Professor at AAU Energy within The Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on thermal engineering systems, hydrogen production technologies, and electro-fuels development, with significant contributions to fuel cell and electrolyzer innovation. His primary research domains include fuel cell engineering, electrolyzer technology, and computational fluid dynamics applied to energy systems. He investigates water management in proton exchange membrane fuel cells, heat and mass transfer in electrolysis cells, and efficiency optimization of hydrogen production systems. His methodology combines experimental validation with advanced CFD modeling to address durability and performance challenges in electrochemical energy conversion. Recent publications (2024-2025) demonstrate concentrated research on alkaline electrolysis systems and thermal management solutions. Key advancements include reducing gas crossover in electrolyzers, optimizing indirect evaporative coolers, and designing proton exchange membrane electrolyzers. His work leverages computational modeling to enhance efficiency and scalability of hydrogen production technologies while addressing multiphase flow and heat transfer complexities. Professor Berning actively supervises PhD candidates: H. D. Miller on Degradation Modeling and Lifetime Prediction of Electrolyzers D. L. Martinho on Computational Fluid Dynamics of Alkaline Electrolysis Cells W. Liu on Water Transport in Proton Exchange Membrane Fuel Cells His research is funded by multiple grants including EUDP's 'Boosting Economic Electrolyzer Stack Technology 2' (2022-2025) and the Danish Energy Agency's 'Degradation Modeling and Lifetime Prediction of Electrolyzers' project (2024-2027). He collaborates within AAU Energy's research ecosystem on hydrogen production systems and thermal management technologies, contributing to projects like the Adiabatic Cooling Systems for Decentralised Ventilation and advancing electrolyzer stack technology through industry partnerships.
Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.
