جست‌وجوی استاد و پژوهشگر

Erik Bensonمشاهده پروفایل

استادیار

• DNA Nanotechnology
• Computational Biology
• Molecular Simulation
• +۳ مورد دیگر

Erik Benson is an Assistant Professor at Karolinska Institutet and a SciLifeLab Fellow leading a research group focused on DNA nanotechnology. His work integrates computational design with evolutionary selection to develop functional nucleic acid structures for biomedical applications, including therapeutic delivery and molecular diagnostics. His research centers on evolving DNA/RNA sequences through high-throughput simulation and in vitro selection to optimize binding, tissue penetration, and cellular uptake. Key projects include DNA molecular printers for precise nano-patterning, reconfigurable nanodevices, and wireframe structures for enhanced drug delivery. The lab bridges biophysics, bioengineering, and computational biology to address challenges in nanomedicine. Recent publications demonstrate leadership in DNA nanostructure design, with breakthroughs in 2D/3D assembly, simulation methods (oxDNA), and therapeutic applications published in Science Robotics, ACS Nano, and Advanced Materials. The work emphasizes computational refinement coupled with experimental validation to advance functional nanodevices. He has received the following honor: SciLifeLab Fellow Benson advises multiple PhD and Master’s students and leads the 5-year EU-funded VOLUMINEX project (EIC Pathfinder Open grant) starting March 2025. This consortium with 5 European partners develops methods for 3D transcript mapping in tissues through sequencing and network reconstruction, securing major research funding for nanotechnology applications. His lab at Karolinska Institutet comprises PhD students Lisa Eichhorn and Jakub Palacka, postdoc Anjali Rajwar, and research assistant Johanna Rhodin. The team actively recruits Master’s students and postdocs for projects in DNA nanotechnology, with former members including Sandra Ly, Aakash Prakash, and Julia Dahl.

Jose M Penaمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Artificial Intelligence
• Probabilistic Graphical Models
• +۴ مورد دیگر

Jose M Pena is a Senior Associate Professor and Head of Unit at Linköping University's Department of Computer and Information Science, specializing in the Division of Statistics and Machine Learning (STIMA). His research focuses on probabilistic graphical models including Bayesian networks, Markov networks, and chain graphs within machine learning and artificial intelligence. His research interests center on causal inference, machine learning, and statistical modeling. He actively develops methods for causal discovery, counterfactual reasoning, and sensitivity analysis using normalizing flows and graphical models. His work bridges theoretical statistics with practical applications in complex data analysis. His recent publications (2020-2025) demonstrate a strong focus on causal machine learning, with particular emphasis on directed acyclic graphs (DAGs), counterfactual modeling, and handling unobserved confounding. Key trends include the integration of deep learning with causal structures, robust causal inference under distribution shifts, and scalable methods for high-dimensional causal analysis. As Head of Unit within STIMA, he contributes to the international master's programme in Statistics and Machine Learning. The division hosts significant research activities in modern data analysis and is part of Linköping University's Department of Computer and Information Science—one of northern Europe's largest departments in this field.

Igor Zozoulenkoمشاهده پروفایل

استاد

• Condensed Matter Physics
• Organic Electronics
• Materials Science
• +۳ مورد دیگر

Prof. Igor Zozoulenko is a Professor and Head of Unit at the Department of Science and Technology (ITN) at Linköping University, leading the Theory and Modelling group within the Laboratory of Organic Electronics (LOE). He holds a Ph.D. in theoretical physics from the National Academy of Sciences of Ukraine and has extensive postdoctoral experience at institutions in Norway and Sweden. His research focuses on electronic and transport properties of low-dimensional semiconductors, conducting polymers, and wood-based materials, with applications in organic bioelectronics and photonics. He has pioneered studies on cellulose-based supercapacitors, such as the plant-based energy storage system in roses. Prof. Zozoulenko teaches undergraduate and Ph.D. courses at Linköping University, earning nominations for the prestigious Gyllene Moroten award in 2005 and 2028. He serves as vice-director of the Wallenberg Wood Science Center Academy, fostering industry-academia collaboration. His research spans theoretical modeling of organic electronics, redox electrochemistry in polymers, and multiscale simulations of electronic transport. Key research themes include the electronic structure of conducting polymers, ion diffusion in cellulose composites, and photonics in bio-inspired materials. He has secured Horizon 2020 funding for doctoral students exploring waste heat energy, perovskites, and computer graphics. His lab’s work has redefined understanding of PEDOT polymer behavior and pioneered transparent wood photonics.

Pierangelo Dellacquaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Graphics
• Image Processing
• +۴ مورد دیگر

Pierangelo Dellacqua is a Senior Associate Professor at Linköping University, affiliated with the Department of Science and Technology (ITN) within the Media and Information Technology school. His research focuses on Artificial Intelligence, Computer Graphics, and Human-AI Interaction, with a particular emphasis on developing neural architectures like NEMO for emotional decision-making systems. He contributes to projects involving empathy-aware systems, digital forensics, and road safety frameworks using Virtual Reality. His academic work spans interdisciplinary collaborations, including applications in social care, autonomous systems, and cybersecurity. Dellacqua’s publications in 2024 reflect advancements in emotional behavior trees, neural computation models, and VR-enhanced traffic safety solutions. He is part of the Computer Graphics and Image Processing research group, which integrates theory and methodology for visual information technology. Advising and grants details are not explicitly documented here, but his involvement in MIT’s collaborative research environment underscores his role in both foundational and applied research projects.

Anna Elgebrant Rekstadمشاهده پروفایل

دانشیار

• Graphic Design
• Media and Information Technology

Anna Elgebrant Rekstad serves as an Associate Professor at Linköping University within the Department of Science and Technology (ITN), contributing to interdisciplinary research at the intersection of design and digital technologies. Her research centers on Graphic Design , exploring visual communication systems, typographic innovation, and digital interface aesthetics, alongside Media and Information Technology where she investigates human-computer interaction paradigms, information architecture, and emerging media ecosystems. These dual foci reflect a commitment to understanding how technological frameworks shape contemporary visual culture and user experience design.

Sasan Gooranمشاهده پروفایل

عضو هیئت علمی

• Digital Halftoning
• Image Reproduction
• Color Reproduction
• +۳ مورد دیگر

Sasan Gooran is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), specializing in Media and Information Technology (MIT). He holds a PhD in Media Technology from Linköping University (2001), following M.Sc. (1994) and Licentiate (1998) degrees in related fields. His research focuses on digital halftoning, image reproduction, and 3D printing technologies. He has supervised seven PhD students and over 50 M.Sc. theses, contributing significantly to graphic technology and appearance modeling. Teaching includes courses in Graphic Arts, Computer Graphics, Image Processing, and Python programming. His work integrates theory and application in visual information technology, with collaborations in interdisciplinary projects like material appearance digitization and BRDF modeling. He actively participates in research groups exploring 3D printing materials and visualization technologies. Recent research highlights include 3D printing material analysis via spectrophotometry, empirical BRDF models for reflective inks, and adaptive halftoning algorithms. His contributions span over 20 years, emphasizing quality enhancement in printing and digital imaging.

Nico Reskiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Immersive Analytics
• Virtual Reality
• +۶ مورد دیگر

Nico Reski serves as Assistant Professor in Visual Media Communication at Linköping University's Department of Science and Technology (ITN), specifically within the Media and Information Technology (MIT) division at Campus Norrköping. His academic home spans interdisciplinary research in visual communication, graphic design, and science communication with strong technical foundations. Education: Ph.D. in Computer and Information Science, Linnaeus University (2017-2022) M.Sc. in Social Media and Web Technologies, Linnaeus University (2013-2015) B.Sc. in International Media and Computing, HTW Berlin, Germany (2010-2013) Reski's research centers on human-computer interaction with emphasis on immersive visual analytics and user interface design , particularly investigating Hybrid Asymmetric Collaboration in Virtual Reality for spatio-temporal data analysis. His work bridges urban data systems and climate visualization through empirical evaluations of 3D interfaces. Current projects manifest in Unity3D implementations for radar charts, world mapping, and cylindrical displays as evidenced by his GitHub activity. As part of the iVis research unit and VRxAR Labs collective, Reski maintains active scholarly output with recent publications focusing on time-oriented data interaction. His teaching portfolio includes information design, web programming, and data visualization courses that directly inform his research methodology. Professional engagement spans multiple technical domains through his GitHub repositories demonstrating continuous development in visualization frameworks, though specific grant funding or formal advising relationships aren't documented in the source material.

Daniel Jönssonمشاهده پروفایل

دانشیار

• Visualization
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Associate Professor Daniel Jönsson works at the intersection of visualization and machine learning at Linköping University's Department of Science and Technology (ITN) and Media and Information Technology (MIT) division. He leads research in transforming complex datasets into intuitive visual representations, with applications in medical imaging and neuroscience. As a core developer of the Inviwo visualization software, he emphasizes interdisciplinary collaboration across fields like AI and radiology. His work includes developing tools like VisualNeuro for brain cohort studies and exploring neural network interpretability. Research focuses on visualization techniques for high-dimensional data, including fMRI analysis and neural network exploration. Notable achievements include an honorable mention at the IEEE VIS conference (2016) for brain imaging visualization work. Collaborations with CMIV (Center for Medical Image Science and Visualization) highlight his commitment to clinical and medical research applications. Publications emphasize combining visualization with machine learning, addressing challenges in data readiness for AI projects and improving neural network analysis. His contributions span software development, algorithm design, and cross-disciplinary methodological advancements in data-driven decision-making.

Martin Falkمشاهده پروفایل

مدرس ارشد

• Scientific Visualization
• Molecular Visualization
• Volume Rendering
• +۴ مورد دیگر

Martin Falk is a Senior Lecturer in the Scientific Visualization Group at Linköping University's Department of Science and Technology (ITN). He holds a Ph.D. (Dr. rer. nat.) from the University of Stuttgart (2013). His research focuses on molecular visualization, large-scale volume rendering, cryoEM visualization, and systems biology, with expertise in uncertainty visualization and spatio-temporal data analysis. Falk co-organized the Eurographics and EuroVis conferences in 2020, which attracted over 2,300 participants and 100 video sessions viewed nearly 38,000 times. Research interests span medical imaging (e.g., histological analysis of vascular specimens) and plasma physics (e.g., studying plasma instabilities and boundary dynamics). He collaborates across disciplines, contributing to tools like the Topology ToolKit and Inviwo visualization frameworks. His work bridges computational methods with biomedical and physical sciences, emphasizing scalable visualization techniques for complex datasets. Key contributions include developing visual environments for protein modeling validation and advancing topological data analysis methodologies. Falk’s research is published in journals like IEEE Transactions on Visualization and Computer Graphics and New Journal of Physics, reflecting his dual expertise in visualization and applied physics.

Peter Gustafssonمشاهده پروفایل

مدرس

• Circular Statistics
• Computer-Intense Methods
• Markov Chain Modeling
• +۷ مورد دیگر

Peter Gustafsson is a Lecturer at the Department of Statistics and Mathematical Statistics at Lund University. He also serves as the Health and Safety Representative for the Department of Statistics and the Main Health and Safety Representative for the Lund University School of Economics and Management (LUSEM). His academic roles are complemented by extensive teaching and research activities. His research focuses on computer-intensive methods in circular statistics, particularly involving Bessel functions for calculating distribution functions. He also develops statistical models in marketing and Markov chain applications for analyzing customer behavior. His teaching spans probability and inference theory, applied statistics, biostatistics, stochastic processes, econometrics, and statistical computations. His research outputs reflect interdisciplinary engagement, including contributions to visualization techniques (e.g., Euler diagrams), directional data analysis, and environmental statistical methodologies. Notable works include studies on customer behavior modeling and vegetation analysis in agricultural contexts. Peter has supervised numerous bachelor and master theses, demonstrating a commitment to student mentorship. His work bridges theoretical statistical methods with practical applications in diverse fields.

• Interactive Digital Storytelling
• Digital Cultural Heritage
• Game Development
• +۵ مورد دیگر

Lissa Holloway-Attaway is an Associate Professor of Media, Aesthetics, and Narration at the University of Skövde, within the School of Informatics. She holds a PhD and MA in English from the University of Georgia, USA, and a BFA in Theater Performance from York University, Canada. Her academic roles include Co-Director of the Computer Games Development-Graphics Program and membership in the GAME Research Group. She is also a research affiliate at Linköping University's Posthumanities Hub. Her research focuses on digital media, interactive narratives, and cultural heritage, emphasizing emergent technologies like augmented reality, VR, and game-based learning. Key projects include the KASTiS initiative for digital cultural heritage and the Seedbox Environmental Humanities Collaboratory. She has led international collaborations, such as the Art Line EU project and Nordic digital literature exhibitions for youth. Publications span conferences like ICIDS and journals like Frontiers in Virtual Reality. Her work explores affective sound design, materialist theory, and interdisciplinary approaches to digital storytelling. She actively contributes to academic events, including workshops, seminars, and editorial roles for proceedings.

• Data Science
• Machine Learning
• Machine Vision
• +۸ مورد دیگر

Roger G Nyberg is a Senior Lecturer at Dalarna University's School of Information and Engineering, Department of Information Science. He holds a PhD from Edinburgh Napier University (2016) and teaches courses in artificial intelligence, data science, software engineering, and project management. As head of the Informatics main field of studies, he oversees programs in Systems Science, Graphic Design and Web Development, and Digital Services. His research focuses on Data Science, Machine Learning, Machine Vision, and Monitoring, with applications in transportation, healthcare, and e-commerce. Key areas include automating decision-making processes, analyzing road conditions using acoustic and visual data, and studying hygrothermal transfer in building materials. Recent publications highlight work on gravel road condition evaluation using multimodal deep learning, CO2 emissions in parking systems, and exercise interventions for musculoskeletal pain. Nyberg supervises undergraduate and advanced theses and actively contributes to academic boards and committees at Dalarna University.

• Computer Graphics
• Real-Time Rendering
• Algorithms
• +۳ مورد دیگر

Tomas Akenine-Möller is a Professor in the Department of Computer Science at Lund University, affiliated with the Faculty of Engineering (LTH). He is also part of ELLIIT, the Linköping-Lund initiative on IT and mobile communication. His research focuses on real-time rendering, computer graphics algorithms, and human vision modeling, contributing to UN Sustainable Development Goals through technological advancements. Education details are not explicitly provided in the text, but his expertise stems from a strong academic background in computer science and engineering. His research interests include algorithms optimization, ray-tracing techniques, graphic hardware performance, and visual perception models. Recent work trends involve temporal edge detection in human vision, neural compression of material textures, and luminance-preservation in graphics. His projects emphasize practical applications of graphics algorithms in real-world scenarios. No scientific awards are explicitly listed. However, he has supervised doctoral research, including the project 'Evaluating and Improving Rendered Visual Experiences' (2019-2024), where he acted as an assistant supervisor. This project explores enhancing visual rendering quality and user experience. No specific lab or team affiliations are mentioned, but his collaborative networks span multiple countries, reflecting interdisciplinary research partnerships.

Antonio Cardoso Costaمشاهده پروفایل

استاد

• Computer Graphics
• Geographic Information Systems
• 3D Lighting Design
• +۳ مورد دیگر

Antonio Cardoso Costa is a Professor at the Department of Informatics Engineering at Instituto Superior de Engenharia do Porto (ISEP). He has held leadership roles including Head of the Informatics Engineering Degree (2002–2008), Vice-President of ISEP's Scientific Council (2008–2009), and currently serves as Accreditation/Certification Coordinator for ISEP's degree programs. He is also an ABET Program Evaluator in Information Technology and a CDIO Mentor since 2007. Educational Background: Graduated in 1985, completed a PhD (1996–1999) focusing on 3D lighting design methodologies under physical constraints. Research interests span computer graphics hardware/software development, geographic information systems (pre-internet era), and lighting design in 3D environments. His work includes contributions to early graphics processors (e.g., Texas Instruments TMS340XX) and European Esprit Program projects. Awards: Received a 1990 creativity award for co-developing a high-quality black/white graphics board. Recognized as an ACM Senior Member since 2011. Grants/Projects: Led ISEP's participation in an Esprit Program GIS project (1991–1995) with Siemens and Bull. His PhD research produced foundational papers on lighting constraints in 3D spaces. Labs/Teams: Former researcher at INESC-Norte and INESC-Porto, collaborating on R&D in engineering and computer systems.

Mattias Sköldمشاهده پروفایل

دانشیار

• Music Notation
• Sound Art
• Composition
• +۶ مورد دیگر

Mattias Sköld is a Swedish composer and sound artist currently serving as Director of Studies for composition and Programme Director for all composition programmes at the Royal College of Music in Stockholm (KMH). He successfully defended his PhD thesis titled 'Sound Notation: The visual representation of sound for composition and analysis' in June 2024 at KMH, with Professor Craig Vear from University of Nottingham as opponent and a committee including Professors Cat Hope, Palle Dahlstedt, Jason Noble, and Erkki Huovinen. His research primarily focuses on prescriptive notation, particularly notation for live-electronics and graphic notation. He is expanding his experimental notation research to include action notation, beginning with a study on notation for live-electronics ensembles in collaboration with colleague Mattias Petersson. He is also deeply involved in the development of the CoPeCo master program, a collaboration between music colleges in Stockholm, Tallinn, Lyon and Hamburg. Sköld's compositional work spans choral music, electroacoustic compositions, and algorithmic composition. His recent works include 'We Know Not Where the Dragons Fly' (part of the 2024 Eric Ericson Award semi-finals repertoire), 'Requiem' (performed by Italian choir Armonici Senza Fili in Bologna), and 'In the beginning' (presented at Nordic Music Days in Reykjavik). He has also contributed to the Halffloor sonic artwork project with his piece 'Epiphany'. Musikföreningen i Stockholm's annual scholarship recipient Member of STIM's committee for promoting musical diversity and copyrights Participant in TENOR conferences on music notation technologies As Programme Director, Sköld is actively developing new syllabi for KMH's composition master programme and has been involved in PhD defences, including serving on Fernando Garnero's committee. His position at KMH allows him to balance administrative duties with research time and composition work, maintaining a productive career across multiple domains of music creation and scholarship.