Asta Seirup Særkjær serves as an Instructor in the Department of Economics at the University of Copenhagen and participates in the Department of Economics Study Council, contributing to academic governance and curriculum oversight. Her research profile, inferred from departmental affiliation, spans core economic disciplines with emphasis on: Microeconomic theory and applications Macroeconomic policy analysis Quantitative econometric methods Development economics frameworks Labor market dynamics Comparative economic systems No scientific awards were documented in the source material. Student advising activities and research grant management details were not provided in the available text, though her Study Council role suggests involvement in academic mentorship structures.
Bhaskar Reddy Sudireddy is an Associate Professor in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU). His research focuses on advanced materials for energy technologies, including solid oxide fuel cells, electrocatalysts, and ceramic processing. He contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). His work emphasizes the development of high-performance electrodes, metal-supported solid oxide cells, and gas sensors. He leads projects on eco-friendly fabrication methods for energy storage systems and collaborates on piezoelectric materials sintered in humid air. His research group, Applied Ceramics and Processing, explores novel ceramic materials for applications in renewable energy and environmental monitoring. Advises five PhD students working on projects like high-temperature electrolysis cells and antiferroelectric materials. Supervises interdisciplinary research spanning electrochemistry, materials synthesis, and device fabrication. Located at DTU’s campus in Kgs. Lyngby, Denmark, with extensive international collaborations.
Anders Damgaard is an Associate Professor and Head of BSc studies at the Department of Environmental and Resource Engineering (DTU Sustain), Technical University of Denmark. His research focuses on environmental assessment methodologies, particularly Life Cycle Assessment (LCA), and their application to waste management systems, resource recovery, and policy development. He leads the development of LCA models like EASEWASTE/EASETECH and collaborates with institutions such as the Danish EPA and Nordic Council of Ministers. Key research areas include carbon footprints of waste treatment, textile waste composition, and additive impacts in plastics recycling. Education: Not explicitly stated in provided texts. Research Interests: Waste management optimization, circular economy frameworks, sustainable technologies, and policy-driven environmental assessments. His recent publications address topics such as carbon footprints of sewage sludge treatments, Nordic textile waste composition, and challenges in plastic additive inclusion in LCA studies. He supervises PhD students in projects involving lifecycle modeling, construction waste recycling, and consumer practices in circular economies. As part of DTU Sustain, he contributes to interdisciplinary teams advancing sustainable resource management and policy solutions.
Anna Thorndal serves as an Instructor (mapped to Lecturer rank) in the Department of Political Science at the University of Copenhagen, with her office located at Øster Farimagsgade 5, Opgang E, 1353 København V, Copenhagen, Denmark. She is actively affiliated with the department's Study Council, contributing to academic governance. Her research focuses broadly on Political Science, encompassing theoretical and empirical analyses of political systems, governance structures, and policy dynamics, though specific subfields remain undefined in available records. No scientific awards or honors are documented in the source material. Ms. Thorndal has no publicly listed graduate students or research grants. Her role emphasizes teaching within the department's curriculum, as indicated by her Instructor title, with additional responsibilities in the Study Council for academic oversight and program development.
Alessandra Meddis serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic work centers on developing and applying advanced statistical methodologies for longitudinal and time-to-event data analysis, with significant contributions to public health research in Denmark and internationally. Her institutional affiliation is clearly established through university contact details and departmental listings. Her primary research interests include correlated survival data analysis, competing risk modeling, informative cluster size methodology, causal inference techniques for observational studies, and environmental epidemiology applications. Dr. Meddis has developed specialized expertise in handling complex survival data structures while maintaining focus on real-world public health problems, particularly in HIV comorbidity patterns, environmental exposure effects, and pandemic-related mortality analyses. Her methodological innovations directly address challenges in clustered and censored data common across medical research domains. Analysis of Dr. Meddis's recent publication record reveals a consistent trajectory of high-impact interdisciplinary research spanning clinical medicine, epidemiology, and statistical methodology. Her work appears in leading journals across biostatistics, infectious diseases, and public health, demonstrating strong collaborative networks with clinical researchers and epidemiologists. Key thematic areas include HIV treatment outcomes, environmental health exposures, and critical care applications during the pandemic, with recent methodological papers advancing survival analysis techniques for complex data structures. Scientific Awards: No scientific awards were specified in the available institutional profile. Advising and Grants: The institutional profile does not provide details regarding graduate student supervision or specific research grant funding. Her collaborative publications suggest involvement in multi-investigator projects including the COCOMO HIV cohort study and pandemic-related research initiatives. Labs and Teams: Dr. Meddis is affiliated with the Section of Biostatistics within the Department of Public Health, though specific laboratory facilities or dedicated research teams are not described in the source material. Her extensive co-authorship patterns indicate active participation in multiple research consortia across medical specialties.
Signe Bruun Munksgaard serves as a Clinical Associate Professor at the Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, with institutional ties to Copenhagen University Hospital (Region H) reflected in her official email address and campus location at Blegdamsvej 3, Copenhagen. Her research centers on headache medicine, specifically examining nursing interventions and clinical protocols for headache disorders. She actively contributes to European consensus development through methodological approaches like the Delphi technique, bridging neurology and patient-centered care to optimize headache management frameworks. Her 2024 publication in Cephalalgia demonstrates engagement in multinational collaborative research, focusing on standardizing nursing roles within headache care pathways across European healthcare systems. No scientific awards were documented in the source material. No details regarding student supervision or research funding were provided in the available text.
Asbjørn Moltke is a Postdoctoral Researcher at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), working within the Fiber Sensors & Supercontinuum research group. His research is centered on advanced photonic technologies, including supercontinuum generation, ultrafast lasers, and nonlinear optical phenomena, with applications in renewable energy and biosensing. His research interests span nonlinear optics , fiber photonics , UV light generation , and laser-based material processing . He applies these technologies to areas such as solar cell fabrication , optical sensing , and metasurface engineering . His work contributes to UN Sustainable Development Goals related to clean energy and responsible innovation. The recent publications highlight a strong trend in developing high-power, low-noise UV and visible supercontinuum sources through pump modulation techniques, as well as their application in solar cell processing and biomolecular detection . These works reflect a multidisciplinary approach combining theoretical modeling, numerical simulation, and experimental validation in advanced photonic systems. No scientific awards were mentioned in the provided text. Asbjørn Moltke has been involved in significant research projects and has served as a supervisor in a PhD project focused on UV supercontinuum sources and metasurfaces. He has presented his work at international conferences, demonstrating active engagement in the scientific community. While no specific grants are listed, his participation in funded PhD projects indicates involvement in competitively supported research. He is affiliated with the Fiber Sensors & Supercontinuum group at DTU, a leading team in nonlinear fiber optics and advanced light source development. This team focuses on pushing the boundaries of supercontinuum technology for industrial and biomedical applications.
Per Christian Hansen is a Professor at the Department of Applied Mathematics and Computer Science (DTU Compute), Technical University of Denmark (DTU), where he leads the Section for Scientific Computing. He is a VILLUM Investigator and heads the CUQI (Computational Uncertainty Quantification for Inverse Problems) research initiative, aiming to develop accessible computational platforms for uncertainty quantification in inverse problems. His expertise lies in numerical analysis, numerical linear algebra, iterative reconstruction methods, and computational inverse problems, with applications in tomography, signal analysis, and plasma physics. His research integrates theoretical analysis—such as perturbation and convergence analysis—with the development of robust, adaptive, and efficient computational methods. He has co-authored five books, over 100 scientific papers, and several widely used MATLAB software packages, including IR Tools and Regularization Tools. His recent work (2023–2025) emphasizes uncertainty quantification, Bayesian inversion, and high-dimensional tomography in fusion plasmas, reflecting a strong trend toward probabilistic and robust modeling in inverse problems. He is a SIAM Fellow (2015) for his contributions to computational methods for rank-deficient and discrete ill-posed problems and regularization techniques. His scientific leadership is evident in both theoretical advances and practical software implementations. He actively collaborates across disciplines, particularly in nuclear fusion and medical imaging, and continues to supervise PhD students and publish in top-tier journals such as Inverse Problems , SIAM Journal on Scientific Computing , and Nuclear Fusion . SIAM Fellow (2015) VILLUM Investigator He advises PhD and Master’s students in computational mathematics and inverse problems, and his research is supported by major grants, including the VILLUM Investigator award. He leads the CUQI team, which develops open-source tools for non-experts to apply uncertainty quantification in inverse problems. His lab focuses on creating modeling frameworks that bridge theory, computation, and real-world applications in materials science, imaging, and plasma diagnostics.
Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.
Adane Tilahun Getachew serves as an Associate Professor at the National Food Institute, Technical University of Denmark (DTU), specializing in bioactive compounds analysis and application within food science. His research integrates green extraction technologies with sustainable food processing to valorize marine and agricultural byproducts. His primary research interests focus on antioxidant mechanisms , bioactive compound recovery , and advanced extraction methodologies including supercritical fluids and subcritical water processing. Key application areas include marine lipid extraction from invasive species like starfish and round goby, plant protein isolation from legumes and lupin seeds, and stabilization of omega-3 enriched food products. His work directly contributes to UN Sustainable Development Goals through waste reduction and sustainable resource utilization. Analysis of his 15 most recent publications reveals a strong emphasis on extraction optimization (particularly supercritical CO 2 and pressurized liquid methods), marine bioactives (seaweed, starfish, shrimp waste), and food product development (mayonnaise, packaging films, protein concentrates). Dominant themes include response surface methodology applications, seasonal variation impacts on bioactive yields, and techno-functional properties of extracted compounds. His collaborative projects demonstrate extensive interdisciplinary work across European research initiatives: SUSTAINABLE JET FUELS (2024-2027): Micro-algal cell factories for zero-waste aviation fuel GrExOmega (2022-2025): Green extraction of omega-3 from invasive marine species AlgaeVita (2025-2027): Biofortified algae ingredients rich in vitamin D3 and omega-3 SBbioact (2019-2022): Biorefinery of Nordic brown algae bioactives Dr. Getachew leads research on sustainable food systems with emphasis on waste valorization and green processing technologies, maintaining active collaborations with multiple European institutions through DTU's National Food Institute infrastructure.
Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.
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.
Pedro Monteiro is an Assistant Professor (tenure track) in the Department of Organization at Copenhagen Business School. His research focuses on organizational expertise development, bureaucratic systems, and qualitative methods, with fieldwork in engineering firms and the public sector. Academy of Management Annals Best Article Award Louis Pondy Award recipient Max Boisot Award winner Poets and Quants Top 50 Undergraduate Business Professors 2024 Monteiro's work spans organizational theory, cybersecurity coordination, and migrant expertise challenges. He serves as Communications Editor for Administrative Science Quarterly and contributes to qualitative research communities through co-founding the Talking About Organizations Podcast and Ethnography Atelier. His research projects include a Gothenburg University collaboration funded by Otto Mønsteds Fond (2023). Current teaching includes Organizational Behavior at BSc level and Strategy, Organization & Leadership at MSc level.
Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.
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.
