Find Academic Supervisors

• Control Engineering
• Systems Identification
• Machine Learning
• +3 more

Håkan Hjalmarsson is a full Professor at the KTH Royal Institute of Technology , affiliated with the Division of Decision and Control Systems within the School of Electrical Engineering and Computer Science . He serves as examiner for advanced-level degree projects in Computer Science , Electrical Engineering , and Systems Engineering , while also contributing as assistant, course manager, and teacher for Control Engineering courses. Research focus on Control Theory , System Identification , and Data-Driven Control Expertise in Optimal Experiment Design , Sparse Estimation , and Bayesian Methods Active in Industrial Applications including bioprocess optimization and network control His recent publications (2024-2025) emphasize finite-time regret minimization , sparse system identification , dynamic programming exploration , and Bayesian approaches to control problems. Key subfields include linear quadratic control , Markov parameter estimation , Wiener-Hammerstein models , and metabolic network identification . He has no listed scientific awards in the provided data.

• Quantitative Finance
• Optimal Transport
• Stochastic Control
• +6 more

Marcel Nutz is a Professor at Columbia University in the Department of Statistics , with secondary affiliations in the Department of Mathematics and the Data Science Institute . He holds a PhD in Mathematics from ETH Zurich and is recognized for his contributions to quantitative finance and optimal transport . His research integrates stochastic control , game theory , and machine learning to address problems in financial markets and probabilistic modeling. Key themes include martingale transport , regularized optimal transport , and mean-field analysis , with applications to market microstructure and risk management . Marcel’s recent work focuses on regularization techniques to mitigate the curse of dimensionality in optimal transport, stability analysis of variational methods, and martingale Schrödinger bridges for portfolio optimization. His publications emphasize numerical algorithms like Sinkhorn’s method and theoretical guarantees for financial models. Scientific Awards: IMS Medallion Award Alfred P. Sloan Fellowship IMS Fellow Marcel acknowledges support from five NSF grants and the Center for Digital Finance and Technologies . He currently serves on the editorial boards of Annals of Applied Probability (AAP), Mathematical Finance (MF), and others, with past roles at Stochastic Processes and their Applications (SPA) and Finance and Mathematics (FMF).

• Analytical Chemistry
• Mass Spectrometry
• Environmental Chemistry
• +7 more

Dan Bylund is Professor and Dean of the Faculty of Science, Technology and Media (NMT) at Mid Sweden University, where he works in the Chemistry department based in Sundsvall. His academic career spans over two decades with a strong publication record demonstrating expertise in analytical chemistry methods development and their application to environmental and biomedical research problems. Bylund's research interests focus on the development and optimization of chromatographic and mass spectrometry techniques for environmental and medical applications. His work bridges fundamental analytical chemistry with practical solutions for soil and water analysis in forest ecosystems, biomarker discovery for cardiovascular conditions, and analysis of natural products from forest resources. His research demonstrates a clear evolution from method development toward applied interdisciplinary work connecting chemistry with environmental science and medicine. Analysis of Bylund's publication trends reveals a progression from fundamental analytical chemistry methods toward increasingly applied environmental and biomedical research. Early work centered on liquid chromatography-mass spectrometry optimization and chemometric approaches, while more recent publications apply these techniques to specific problems in forest ecosystem analysis, biofuel production, and medical diagnostics. His collaborative network spans multiple disciplines, reflecting the interdisciplinary nature of his research. Bylund leads or participates in several significant research projects including: BioRem Fiber - Focused on bioremediation using forest resources Foodtech - Fermentation of forest residues for food and feed applications GrönaPro - Development of green chemicals from forests and forest products His research has practical implications for sustainable forest management, environmental monitoring, medical diagnostics, and green chemistry applications. In his administrative role as Dean of NMT, Bylund oversees academic programs and research initiatives within the faculty, combining leadership responsibilities with his active research program.

Eric ChenView profile

Associate Professor

• Coding Theory
• Secure Communications
• Optimization
• +6 more

Eric Chen is an Associate Professor in Electrical Engineering at Kristianstad University , affiliated with the Department of Computer Science under the Faculty of Natural Science . His research spans Coding Theory , Secure Communications , Internet of Things , and ICT for Sustainable Development , with secondary interests in Distributed Systems and E-health . He maintains two specialized databases: the Online Database of Quasi-Twisted Codes and Database of Two-Weight Codes . Teaching roles include Data Communications , Programming for Embedded Systems , and Master's Degree Projects . Recognized as a Merited Teacher for pedagogical excellence. Chen's recent publications focus on algebraic coding theory, including quasi-cyclic codes with improved minimum distance, bounds on codes over GF(17), and two-weight code construction using linear programming. These works bridge computer science, mathematics, and optimization, advancing error correction and secure data transmission frameworks. Scientific Awards : Merited Teacher (2025) As a key organizer of the RECS workshop series (Artificial Intelligence, Machine Learning, Cybersecurity), he actively fosters academic collaboration. His research environment aligns with UN Sustainable Development Goals, particularly in education and sustainable technology integration.

Arvid SjölanderView profile

Professor

• Biostatistics
• Epidemiology
• Causal Inference
• +3 more

Arvid Sjölander is a Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet. His research focuses on causal inference methods, particularly in observational studies, sibling data analysis, and doubly robust estimation. He collaborates on applied projects in genetic and nutritional epidemiology. Sjölander holds a PhD from Karolinska Institutet (2009), an MSc in Mathematical Statistics (Stockholm University, 2004), and an MSc in Electrical Engineering (Royal Institute of Technology, 2002). Research Interests: His work bridges statistical theory and practical applications, emphasizing causal diagrams, instrumental variables, and sensitivity analysis. Key areas include developing methods to address unmeasured confounding, mediation analysis, and sibling comparison designs. He also explores the integration of Mendelian randomization with observational data. Recognition: Notable awards include the Causality in Statistics Education Award (2016), F1000 recognitions for influential papers, and the Biomedicinarnas pedagogiska pris (2008). He serves as an associate editor for European Journal of Epidemiology and Biometrics . Grants & Leadership: Leads projects on obesity's cardiovascular effects, neurodevelopmental risk factors, and causal inference methodologies. He has secured funding from the Swedish Research Council, NIH, and others. Sjölander has advised over 20 PhD students and actively participates in academic committees, including dissertation panels and steering groups for epidemiology training programs. Labs & Teams: Heads the Causal Inference Research Group at Karolinska Institutet, fostering interdisciplinary collaborations in statistical methodology and public health applications.

Ranjula Bali SwainView profile

Professor

• Economic Development
• Sustainable Finance
• Sustainable Development
• +7 more

Ranjula Bali Swain is a Professor of Economics at Södertörn University, specializing in Sustainable Development and Environmental Economics. She holds additional affiliations with the Center for Sustainability Research (CSR) and Misum at Stockholm School of Economics. Research Focus: Economic Development, Sustainable Finance, Gender, Circular Economy Affiliated Institutions: Södertörn University, Stockholm School of Economics Experience: International Labour Organisation, Uppsala University, University of California, Berkeley Her research explores frameworks for sustainable consumption and production, circular economy implementation, and socio-economic policy. Recent publications emphasize transitioning from linear to circular systems and integrating market and policy innovations. She has secured grants from prestigious organizations including the Swedish Research Council (VR), Swedish International Development Cooperation (Sida), and the Swedish Energy Agency. While she has not participated in active projects recently, her work remains foundational to global sustainability discourse. Ranjula Bali Swain's contributions span academia, policy, and international collaboration, addressing climate action, responsible consumption, and economic resilience. Her editorial work includes co-editing volumes on the Sustainable Development Goals and Circular Economy.

Sanna Nordin-BatesView profile

Associate Professor

• Sport Psychology
• Dance
• Perfectionism
• +7 more

Roles & Affiliations: Sanna Nordin-Bates holds the academic rank of Associate Professor and Senior Lecturer in Sport Psychology at the Swedish School of Sport and Health Sciences (GIH), Stockholm. She serves as Director of Studies for the Doctoral Program and is affiliated with the Department of Physical Activity and Health. Her work combines teaching, research, and collaboration with institutions like the Royal Swedish Ballet School and international universities. Education & Career: She completed her PhD in Sports Science (2002–2005) with a focus on mental imagery in dance, followed by post-doctoral research on talent development in dancers (2005–2011). Her career spans over two decades in sport and performance psychology. Research Interests: Nordin-Bates focuses on perfectionism in aesthetic performers (dance, gymnastics), imagery, early specialization, and motivational dynamics. Key areas include the psychological impacts of perfectionism on creativity, performance anxiety, and disordered eating. Collaborations & Partnerships: She collaborates with global institutions, including Leeds Beckett University, York St John University, and Australian Ballet School. Her work emphasizes safeguarding dancer welfare and exploring autonomy-supportive training environments. Advising & Supervision: Supervises PhD student Charlotte Downing (thesis on early specialization). Teaches courses like Applied Sport Psychology and Talent Development and Motivation across undergraduate and graduate programs. Publications: Over 90 articles, including recent works on psychological safety in ballet, perfectionism in track and field, and systematic reviews on early specialization. Her research bridges sport science and artistic performance, emphasizing holistic well-being.

Johan LöfbergView profile

Associate Professor

• Control Theory
• Optimization
• Model Predictive Control
• +4 more

Johan Löfberg is an Associate Professor and Docent at Linköping University's Department of Electrical Engineering (ISY), affiliated with the Automatic Control (RT) division. His research spans the intersection of control theory and optimization , with a focus on developing control-oriented optimization-based algorithms . He is the creator of the MATLAB-based modeling language YALMIP , widely used in academic and industrial applications. Research Interests Dr. Löfberg's work emphasizes practical implementations of theoretical advancements in control systems. His research encompasses: Model Predictive Control (MPC) Stochastic and Robust Optimization Motion Planning for Autonomous Systems Industrial Robotics Applications Signal Processing for Control Control Algorithm Development His recent publications demonstrate applications in crane control, motion planning, and estimation under uncertainty. Collaborations He is affiliated with the Wallenberg Autonomous Systems Program (WASP) and collaborates with various research groups within ISY and ETH Zurich alumni networks.

Fredrik BerntssonView profile

Associate Professor

• Inverse Problems
• Ill-Posed Problems
• Numerical Analysis
• +9 more

Fredrik Berntsson is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA) within the Faculty of Science and Engineering. His work bridges theoretical mathematics and practical applications in engineering and industrial processes. Research Interests: His primary research focuses on inverse and ill-posed problems, particularly in the context of partial differential equations such as the Helmholtz and heat equations. He investigates mathematical modeling and numerical analysis of physical systems, with applications in inverse heat conduction, image processing, biomechanics, and structural dynamics. His interest extends to the stability and accuracy of computational methods used in simulations. Publication Trends: From 2021 to 2025, his publications show a consistent focus on inverse problems, especially iterative methods like Dirichlet-Robin and Robin-Dirichlet procedures for solving Cauchy problems. He also explores industrial applications, such as thermal tracking in steel production and optimal actuator placement in pedestrian-bridge systems, demonstrating a blend of theoretical rigor and real-world relevance. Teaching: He teaches courses in scientific computing, linear algebra, and programming, contributing to both undergraduate and graduate education in mathematical sciences. Affiliations: Department of Mathematics (MAI), Linköping University Division of Applied Mathematics (TIMA) Faculty of Science and Engineering, Linköping University Scientific Awards: No awards listed in the provided text. Advising and Grants: No specific information on students or doctoral advisees is provided. No direct mention of grants or funded projects is available, though his research areas suggest involvement in computational and applied mathematics funding streams. Labs and Research Groups: Applied Mathematics (TIMA) division at MAI focuses on computational mathematics, optimization, and mathematical statistics, where Berntsson conducts his research. His work on steel production simulation involved collaboration with SSAB, indicating industrial research partnerships.

Erik ElmrothView profile

Professor

• Distributed Systems
• Cloud Computing
• Edge Computing
• +3 more

Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.

• Climate Change
• Paleoclimatology
• Dendrochronology
• +4 more

Hans Linderholm serves as Professor and Head of the Department of Earth Sciences at the University of Gothenburg, Sweden, with office located at Medicinaregatan 7B, Gothenburg. His leadership position and active research portfolio demonstrate his central role in the university's earth sciences initiatives, focusing on climate system dynamics across multiple continents. Linderholm's research program centers on reconstructing past climate (last 2000 years) and projecting future climate (next 100 years) in Europe and Asia using dendrochronological methods. His work examines temperature, drought, and precipitation patterns through tree-ring analysis, with particular emphasis on large-scale atmospheric and oceanic circulation systems. Fieldwork spans North Europe, China, Canada, and North Africa, investigating how natural climate variability informs understanding of anthropogenic climate change and ecosystem impacts. Analysis of his 2023-2025 publications reveals dominant themes in dendroclimatology (especially blue intensity techniques), climate extremes reconstruction, and interdisciplinary climate-society interactions. His work increasingly connects paleoclimate data with contemporary climate change impacts on agriculture, public health, and marine ecosystems, demonstrating methodological innovation across temporal scales. No scientific awards were specified in the available information. While specific student advisees are not listed, Linderholm's extensive multinational collaborations—including the Sino-Swedish Centre for Tree-Ring Research—indicate active mentorship and significant grant funding for climate research projects. His editorial roles further demonstrate leadership in academic knowledge dissemination. He directs the Gothenburg University Laboratory for Dendrochronology (GULD) and participates in the Regional Climate Group and Sino-Swedish Centre for Tree-Ring Research, which provide critical infrastructure for high-resolution climate reconstruction studies across diverse geographical contexts.

• Digital Media Production
• Web Development
• Interaction Design
• +3 more

Joakim Lidstrom serves as a Lecturer at the Department of Informatics, Umeå University, with teaching experience since fall 2014 across bachelor's and master's programs including Digital Media Production, Systems Science, and Human-Computer Interaction and Social Media. His research focuses on digital cultural preservation, evidenced by the 2018-2020 project Digital access to the Sámi heritage archives , with broader interests spanning: Digital Media Production Web Development Interaction Design Human-Computer Interaction Digital Heritage 3D Graphics and Game Design He has taught comprehensive courses including Digital Media Production (180 credits), Web Development, Digital Audio/Video Editing, Post-production (visual effects/motion graphics), Design Theory, Non-linear Storytelling, Advanced Media Production, Programming Fundamentals, and Master's-level Prototyping Interaction, while supervising bachelor's theses and conducting specialized workshops. Lidstrom's work demonstrates applied research in cultural heritage digitization and educational technology development, with no scientific awards currently documented.

• Predictive Maintenance
• Mixed Reality Applications
• Human-Robot Collaboration
• +5 more

Bernard Schmidt is an active researcher at the University of Skövde's School of Engineering Science, specializing in Production and Automation Engineering. His work bridges cutting-edge mixed reality applications with industrial predictive maintenance systems, focusing on sustainable manufacturing solutions. Affiliated with the Virtual Systems Research Centre (closed 2017) and Virtual Engineering Research Environment, he contributes to multiple research profiles including VF-KDO and Virtual Production Development. His research interests center on predictive maintenance methodologies , human-robot collaboration interfaces , and cloud-enhanced manufacturing systems . Schmidt develops mixed reality training environments that reduce production line disruption while improving operator safety. His work integrates double ball-bar measurements with machine learning to create population-based maintenance models that achieve 40% cost reduction compared to traditional approaches. Current projects include ACCURATE (2021-2025) and VF-KDO (2019-2026), funded by Sweden's Knowledge Foundation. Analysis of Schmidt's 15 most recent publications reveals a strong trend toward real-time industrial decision support systems using mixed reality visualization. His work consistently addresses sustainable manufacturing through energy-efficient robotics and predictive maintenance frameworks that leverage cloud computing. Key subfields include virtual sensor integration, collision avoidance algorithms, and multi-objective optimization for robotic cells - demonstrating practical applications in automotive and elevator manufacturing. Research funding highlights include: Knowledge Foundation (KKS) projects: ACCURATE (2021-2025), VF-KDO (2019-2026), Virtual Factory with Knowledge-Driven Optimization (2018-2026) European Commission grant (637107) IPSI Industrial Research School collaboration with Volvo GTO and Volvo Cars Schmidt actively supervises bachelor's degree projects at ASSAR Industrial Innovation Arena in Skövde, with recent work involving Natalia Sempere Maciá and Celia Redondo Verdú. His research integrates with ABB Robotics systems through partnerships with experts like Tommy Y. Svensson. Current laboratory work focuses on HoloLens 2 implementations for robotic cell visualization and safety system development for human-robot collaborative environments.

Erik LindstromView profile

Professor

• Financial Mathematics
• Statistical Inference
• Stochastic Processes
• +2 more

Erik Lindstrom is a Professor of Mathematical Statistics and Head of Division at Lund University's Centre for Mathematical Sciences within the Faculty of Science. He additionally serves as assistant Director for the Industrial Engineering and Management program and directs the statistical consulting service for the Science faculty. His educational background includes: M.Sc. in Engineering Physics (2000) from Lund University B.Sc. in Economics and Business (2000) from Lund University M.Sc. in Economics and Business (2001) from Lund University Ph.D. in Mathematical Statistics (2004) from Lund University Lindstrom's research bridges theoretical statistics with real-world applications in finance and energy systems. His work focuses on parameter estimation algorithms for discretely observed diffusion processes, financial mathematics including option valuation under uncertainty, energy finance, power system stability, and statistical testing methodologies. The 2015 book "Statistics for Finance" synthesizes key aspects of his financial statistics research. Recent publications (2023-2025) reveal a concentrated research trajectory applying statistical jump models to cryptocurrency markets and financial options, alongside advanced time series techniques for building energy load forecasting. This demonstrates his consistent interdisciplinary approach connecting stochastic processes with practical financial and energy sector challenges. His scientific recognition includes: Excellent Teaching Practitioner (ETP) award (2013) Lindstrom actively mentors doctoral researchers including current PhD students Carl Åkerlindh and Peter Nystrup, and postdoctoral fellows Josef Höök and Sidi Mohamed Aly. His teaching portfolio spans Financial Statistics (MSc), Non-linear Time Series (MSc/PhD), and Statistical Inference for Partially Observed Stochastic Processes (PhD), supported by research grants in financial mathematics and energy applications. As head of division and director of the statistical consulting service, he leads initiatives providing statistical methodology support across the Science faculty, fostering cross-disciplinary research collaboration through structured consultation frameworks.

• Numerical Analysis
• Optimization
• Systems Theory
• +3 more

Erik Dalsryd is a Researcher at the Kungliga Tekniska Högskolan (Royal Institute of Technology) , affiliated with the Division of Numerical Analysis, Optimization and Systems Theory. He actively contributes to teaching and course management across multiple mathematics and computational science programs.