Find Academic Supervisors

• Economic History
• History
• Swedish Social Sciences
• +6 more

Magnus Olofsson is an active Researcher in the Department of History at Lund University, concurrently serving as a Visiting Research Fellow at the Department of Economic History and a Profile Area Member for Human Rights. His work bridges historical scholarship with contemporary societal issues through Lund's interdisciplinary frameworks. Specializing in Economic History and Swedish Political Development , Olofsson's research examines democratization processes, contentious politics, and labor movements across Sweden's long 19th century (1789-1921). His current focus includes conflict repertoires, urban demonstrations, and welfare sector protests through projects like De stridbara svenskarna (DSS) and HALF: Historisk arbetslivsforskning . Methodologically, he integrates digital humanities approaches with traditional historical analysis. His publication trends reveal sustained engagement with political conflict (68% of recent works), democratization processes (52%), and Swedish social history (47%), with increasing digital methodology application since 2020. Key thematic clusters include labor movement evolution, republican political traditions, and provincial-national cultural dynamics. Nils Karlebys stiftelse för Skånsk kultur och historia (2010) Idéns Minnesfond (2009) Martin Weibulls Minnesfond (2009) Napoleonic Series Writing Contest, Best military paper (2008) As Principal Investigator for the DSS project (2024-2028) and coordinator for welfare sector strike research (2023-2025), Olofsson manages substantial research funding while contributing to the HALF collaborative research group. His academic service includes extensive peer review and conference organization within European historical networks. Olofsson contributes to Lund's Human Rights Profile Area through historical perspectives on political conflict and democratization, while his ContentiousGatherings.se platform demonstrates commitment to digital scholarly communication and public history engagement.

Henning HenschelView profile

Associate Professor

• Drug Design and Discovery
• Medicinal Chemistry
• Environmental Chemistry
• +3 more

Henning Henschel holds the position of Associate Professor/Senior Lecturer at the Department of Medicinal Chemistry; Drug Design and Discovery at Uppsala University. He concurrently serves as a Senior Lecturer/Associate Professor at the Trade Unions and Student Unions; Staff Unions; Saco-S vid Uppsala universitet. His research focuses on interdisciplinary areas including medicinal chemistry, environmental chemistry, computational chemistry, and atmospheric science. His work bridges theoretical modeling with experimental techniques such as NMR spectroscopy, molecular dynamics simulations, and aerosol nucleation studies. Key research interests include the aquatic fate of antimicrobial transformation products, fumarate regulation in respiratory infections, and structural analysis of biomolecules like collagen. He has contributed to advancements in methods like cryoporometry and rotational frame relaxometry. His publications span journals in chemistry, physics, and environmental science, addressing topics from drug design to climate-relevant particle formation. Recent articles highlight his exploration of photolysis effects on environmental pollutants, host-pathogen interactions in pneumonia, and magnetic field effects on biopolymers. Despite no explicit awards mentioned, his prolific publication record reflects sustained academic contributions. Current roles include teaching and union representation, underscoring his engagement in both research and institutional governance.

• Higher Education
• Doctoral Education
• Leadership
• +5 more

Marie-Louise Österlind serves as Senior Lecturer in Psychology within Kristianstad University's Faculty of Economics, concurrently holding dual Head of Department roles for the Department of Law and Economics and the Department of Working Life Governance Regulation Internationalization and Performance (GRIP). Her academic profile integrates teaching, research, and leadership responsibilities with a consistent focus on organizational dynamics in public sector institutions. Education: Doctor of Philosophy in Psychology (specialization: working life) Her research program, grounded in Argyris and Schön's reflective practitioner theory and constructivist-phenomenological methodology, examines leadership challenges across educational, healthcare, and social care settings. Current investigations spotlight the paradoxical 'heavenly hell' experienced by doctoral students in Swedish higher education, analyzing systemic pressures that impact academic work conditions and doctoral completion rates. This work extends to broader organizational studies of quality work implementation and managerial identity formation. Publication trends since 2022 reveal concentrated scholarly output on doctoral education crises, with recurring themes of workplace duality (heaven/hell dichotomy), constructivist research methodology, and critical analysis of New Public Management impacts. Her work consistently bridges theoretical frameworks with practical organizational interventions, particularly through action research approaches. Scientific Awards: No awards documented in source materials. Österlind actively supervises theses in leadership, organizational behavior, and qualitative methods while serving as external evaluator for doctoral funding applications (2024-2025) and peer reviewer for Higher Education journal and Routledge publications. Her institutional engagement includes the HERD@HKR Higher Education Research and Development group and Kristianstad University's GRIP research environment. Her collaborative work with the GRIP research environment focuses on governance models in working life contexts, while HERD@HKR activities center on systemic analysis of higher education development challenges. These affiliations facilitate her ongoing research on organizational change and academic work conditions.

• Deep Learning
• Multi-Agent Systems
• Grid Computing
• +7 more

Dawit Mengistu is a Senior Lecturer in Computer Engineering at the Department of Computer Science, Faculty of Natural Science, Malmö University. His research focuses on deep learning applications, edge computing, and distributed simulation systems. 2022: Deep Learning Approaches for Crack Detection in Bridge Concrete Structures 2024: Concrete Crack Detection Using Multi-Source Data Augmentation in Deep Learning Models 2018: Session Key Agreement for End-to-End Security in Time-Synchronized Networks His research spans artificial intelligence and system performance optimization , with specific interests in: Multi-agent simulation scalability Edge computing for IoT devices Concrete structural analysis via neural networks Grid environment resource management Article trends show increasing focus on infrastructure AI and distributed systems , while earlier works concentrated on simulation algorithms and middleware. No recent scientific awards listed in available data.

Håkan SundellView profile

Assistant Professor

• Computer Science
• Artificial Intelligence
• Parallel and Distributed Systems
• +7 more

Håkan Sundell is an Assistant Professor of Computer Science at the University of Borås , affiliated with the Faculty of Librarianship, Information, Education and IT and the Department of Information Technology . Since 2006, he has been active as a teacher in informatics and a research group leader for the CSL@BS research group , while also serving as program manager for the System Architecture Education with a Focus on Software Development . His research spans Artificial Intelligence , Parallel and Distributed Systems , Concurrent Programming , and Machine Learning Applications , with a particular emphasis on lock-free data structures and GPU algorithms . He has developed over 30 courses and supervised multiple doctoral students to completion. Scientific contributions include advancements in non-blocking algorithms, real-time systems, and AI-driven marketing tools. His article trends reflect interdisciplinary work in data science for fashion retail , district heating analytics , and marketing campaign optimization . Key Awards: Best Paper Award at IPDPS 2003 Recognized as a pioneer in Swedish computer game development As a main supervisor since 2012, he has driven externally funded research projects (VR, SSF, KKS, HUR) and served on university committees, including chairing the education committee from 2018–2022.

Mohammad BagherbandiView profile

Professor

• Geodesy
• Geophysics
• Surveying (Applied Geodesy)
• +5 more

Mohammad Bagherbandi is a Professor at the University of Gävle , specializing in Geomatics and Applied Geodesy within the Department of Computer Science and the Built Environment . He has been affiliated with the university since 2012 and maintains a concurrent role as a Senior Researcher (Associate Professor) at KTH Royal Institute of Technology , where he worked as a postdoctoral researcher for two years post-PhD (2011) in Physical Geodesy and Earth's Interior Modeling . Research Areas : Precision positioning, Earth observation, infrastructure monitoring, gravity field modeling, environmental monitoring (climate change, ice melt, sea-level changes) Key Methods : Geodetic, remote sensing, GNSS/IMU integration, GNSS reflectometry, InSAR His recent work emphasizes interdisciplinary links between geodesy and geophysics , particularly in quantifying land uplift from glacial isostatic adjustment (via GRACE/GRACE-FO), deformation monitoring in urban/railway systems, and integrating geodetic data with wireless sensors. Projects include: Roof network in the air (2019–2022) - Swedish Transport Administration Satellite monitoring of railways (2020–2021) - Traffic Agency Spatial Data Innovation (2018–2021) - Swedish Agency for Economic and Regional Growth 3D mapping accuracy (2018–2020) - Lars E. Lundberg's Foundation Subsidence monitoring in urban regions (2019–2020) - SWECO/J. Gust. Richert Foundation He contributes to GNSS signal applications for detecting sea-level variations and tidal frequencies, alongside theoretical advancements in geoid/quasigeoid modeling and relativistic geodesy. His research spans planetary height systems (e.g., Mars/Lunar geodesy) and geophysical stress modeling in regions like Fennoscandia and the Tibetan Plateau.

• Computer Science
• Concurrency
• Programming Languages
• +7 more

Konstantinos Sagonas is a Senior Lecturer/Associate Professor at Uppsala University's Department of Information Technology. His work bridges theoretical and practical aspects of computer science, focusing on concurrency, formal verification, and functional programming in Erlang. Despite his self-identification as a "terrible e-mail responder," he encourages phone contact for direct communication. University: Uppsala University Department: Department of Information Technology Academic Rank: Senior Lecturer/Associate Professor His research spans from stateless model checking and dynamic partial order reduction for concurrent systems to static analysis and type systems in functional programming. Recent work explores IoT protocol testing via fuzzing and symbolic execution, fine-grain memory coherence for security, and automated detection of state machine bugs in network protocols. Key publication trends include formal methods (2024: "Testing IoT Protocol Requirements"; 2023: "Tailoring Stateless Model Checking for Event-Driven Programs") and concurrent data structures (2021: "Lock-free Contention Adapting Search Trees"). Earlier contributions focus on Erlang optimization (2002-2018) and logic programming tabling (1999-2006).

Paolo VelásquezView profile

Researcher

• Immigration
• Ethnic Relations
• Prejudice
• +4 more

Paolo Velásquez is an Affiliated Researcher at the SSE Institute for Research (SIR) and Center for Responsible Leadership (CRL), Stockholm School of Economics, concurrently serving as a postdoctoral researcher at the University of Oxford's Center on Migration, Policy and Society (COMPAS). His work bridges migration policy, social inclusion, and historical sociology across European and Latin American contexts. Velásquez's research centers on immigration dynamics, prejudice mechanisms, and migrant integration in labor markets and society. He investigates how educational attainment shapes anti-immigrant attitudes through the 'liberalizing effect' hypothesis, while also exploring the history of social sciences and linguistic dimensions of migration. His interdisciplinary approach combines quantitative analysis of survey data with historical scholarship to address structural barriers to inclusion. Recent publications (2022-2024) demonstrate consistent focus on education-immigration attitude linkages across Chile, the Netherlands, and Europe during the migration crisis, alongside contributions to sociology's intellectual history. His work employs panel studies, cross-national comparisons, and archival research to examine prejudice reduction and knowledge transfer. Velásquez leads two key projects: MERITA: Migrants’ integration in EU countries: for a selected few only? and The construction of the employable migrant , both hosted through COMPAS and CRL. These initiatives analyze policy frameworks affecting migrant labor market access and social inclusion pathways. No scientific awards, student advising records, or grant funding details are documented in available sources. His research is disseminated through COMPAS, CRL, and SIR platforms with direct policy engagement.

Erik van LoonView profile

Associate Professor

• Quantum Materials
• Condensed Matter Theory
• Ab-initio Modelling
• +2 more

Erik van Loon is an Associate senior lecturer (equivalent to Associate Professor) in Mathematical Physics at the Department of Physics, Lund University, Sweden, and concurrently serves as a LINXS Fellow within the Quantum Materials theme, focusing on linking theory with experiments at LINXS, ESS and MAX IV. His core research revolves around quantum materials, where he integrates advanced ab-initio modelling with neutron and x-ray scattering experiments to uncover fundamental phenomena in condensed-matter systems. His expertise spans mathematical physics, electronic structure theory, and the interpretation of spectroscopic data to understand emergent quantum phases. Within the LINXS community he contributes to Working Group 1 on ab-initio modelling, fostering close collaboration between theorists and experimentalists to accelerate discovery of novel quantum states and their technological applications. Current Affiliations Associate senior lecturer, Mathematical Physics, Department of Physics, Lund University, Sweden LINXS Fellow, Quantum Materials Theme, Working Group 1 – Ab-initio modelling At present no students, awards, or specific publications are listed in the available material.

• Marine Biogeochemistry
• Microbial Ecology
• Benthic Ecosystems
• +3 more

Stefan Hulth serves as Professor and Head of the Department of Marine Sciences at the University of Gothenburg's Faculty of Sciences, concurrently leading the Kristineberg Center for Marine Research and Innovation. His institutional roles integrate academic leadership with field research management across both the Göteborg campus and the Fiskebäckskil marine station. Professor Hulth's research investigates biogeochemical structure and function in coastal marine environments, emphasizing microbial processes and functional biodiversity in benthic ecosystems. He pioneers analytical techniques for high-resolution solute detection, including chemical/biological sensors and molecular diagnostics for single-cell bacterial characterization. Key projects examine nitrogen cycle pathways (denitrification/anammox), macrofaunal biodiversity in organic matter mineralization, benthic nutrient regeneration driving algal blooms, and autonomous instrumentation like benthic mini-landers for environmental monitoring. Analysis of his 2011-2021 publications reveals consistent focus on nitrogen cycling in coastal sediments, integrating microbial ecology with experimental climate change studies. His work demonstrates how habitat diversity governs nitrogen loss mechanisms and sediment responses to warming/nutrient enrichment, while advancing sensor technologies for ocean acidification monitoring through innovative pH fluorosensors. As an academic supervisor, Hulth examines PhD theses in Chemistry (since 2007), Biology (since 2012), and Marine Sciences (since 2017). His leadership at Kristineberg Center coordinates multidisciplinary teams in marine research, exemplified by major collaborations like the Earth Microbiome Project published in Nature (2017), which established global microbial diversity patterns across environmental gradients.

Hazem TorfahView profile

Assistant Professor

• cyber-physical systems
• formal verification
• runtime monitoring
• +5 more

Hazem Torfah is a tenure-track Assistant Professor at the Computer Science and Engineering Department at Chalmers University of Technology, where he leads the Safe and Trustworthy Autonomous Reasoning lab (STARlab). Previously, he was a postdoctoral researcher in the EECS Department at UC Berkeley, USA, and obtained his Ph.D. in 2019 from Saarland University, Germany. His research focuses on developing theoretical foundations and techniques for constructing safe and reliable autonomous cyber-physical systems. Hazem earned his Ph.D. from Saarland University in 2019, followed by postdoctoral research at UC Berkeley. His educational background has positioned him at the forefront of formal methods research for autonomous systems. His research interests center on the formal specification, verification, and synthesis of cyber-physical systems, with a particular focus on quantitative approaches for verifying and explaining system behavior. He investigates methods to ensure safety and reliability in autonomous systems through runtime monitoring, specification mining, and assurance frameworks. His work bridges theoretical computer science with practical applications in autonomous driving and robotics. An analysis of his recent publications reveals a strong focus on runtime monitoring techniques for operational design domains, specification mining for predictive safety, and frameworks for runtime assurance of cyber-physical systems. His work frequently combines formal methods with machine learning to address safety challenges in autonomous systems, with applications primarily in autonomous driving. Hazem's research is funded by the Wallenberg AI, Autonomous Systems, and Software Program, reflecting the significance and potential impact of his work in the field of assured autonomy. He has supervised several Master's students, including Samuel Collier Ryder and Johannes Holmgren (2025), and Lucas Karlsson and George Kayembe (2024). His teaching includes courses on Formal Methods for Security, Oracle-Guided Inductive Synthesis, and Data Structures and Algorithms. As the leader of STARlab, Hazem directs research on safe and trustworthy autonomous reasoning, focusing on developing methods to ensure the reliability and explainability of autonomous cyber-physical systems through formal verification techniques.

• Numerical Modeling
• Acoustics
• Vibrations
• +7 more

Peter Göransson is a Professor at the Royal Institute of Technology (KTH) in Stockholm, Sweden, affiliated with the School of Engineering Sciences, Department of Aeronautical and Vehicle Engineering. His research focuses on numerical modeling of coupled acoustic and vibration phenomena, with a particular emphasis on finite element modeling of dissipative mechanisms and efficient computational methods for highly damped, layered structures. He serves as an examiner for the Degree project in technical acoustics (SD211X) and as course coordinator and teacher for Numerical Methods for Acoustics and Vibrations (SD2175). Dr. Göransson's research spans over three decades, beginning with groundbreaking work in the early 90s on the Noise Attenuation for Launchers project (funded by ESA estec), which resulted in 3D large-scale models for ARIANE 4 and 5 with satellites' dynamic properties included. He has participated in more than 10 EU research projects, including the ASANCA projects which developed a full-scale 3D model of a Saab 340 aircraft cabin, and the BRAIN project which advanced elastoacoustic modeling of fibrous porous materials. In 2006, he expanded his research to sustainable design through the Center for ECO2 Vehicle Design, focusing on multifunctional structural components optimized for contradictory requirements like structural load-bearing capacity combined with acoustic performance at minimal weight, complexity, cost, and environmental impact. His most recent research directions include inverse methods for characterizing anisotropic solid materials, micro-to-macro-based modeling of poroelastic cellular materials, acoustic metamaterials based on modified cell geometries, topology optimization of structures under multifunctional constraints, and life cycle-based energy optimization methods. His publication record shows a clear progression from fundamental computational methods to applied research with increasing emphasis on sustainability and multifunctional design. The articles demonstrate expertise spanning computational acoustics, structural dynamics, metamaterials, and sustainable vehicle design, with particular strength in wave propagation analysis, parameter identification techniques, and optimization of complex multilayer structures. ESA-funded Noise Attenuation for Launchers project (early 90s) EU-funded ASANCA projects (full-scale aircraft cabin modeling) EU-funded BRAIN project (elastoacoustic modeling) Center for ECO2 Vehicle Design (established 2006) COST Action DENORMS participation Dr. Göransson has established himself as a leading researcher in computational vibroacoustics, with significant contributions to both theoretical developments and practical applications in aerospace, automotive, and sustainable design. His work bridges fundamental computational methods with real-world engineering challenges, particularly in noise and vibration control for complex systems. He continues to push the boundaries of computational methods for acoustics and vibrations while increasingly focusing on sustainable design methodologies and novel metamaterials for vibration and noise control applications.

• Big Data Analytics
• Business Network Analysis
• Innovation Management
• +7 more

Peter Dahlin is a Senior Lecturer at Mälardalen University's School of Business Society and Engineering, where he teaches in the Division of Economy and Political Science. Concurrently, he serves as a Visiting Scholar at the University of Exeter, maintaining affiliations with their Business School, Institute for Data Science and Artificial Intelligence, and Exeter Center for Social Networks. His research program centers on: Big Data infrastructure development and analysis methodologies Network analysis of business ecosystems and organizational structures Innovation processes and performance metrics in companies Determinants of startup survival and failure Advanced data collection techniques including distributed systems He directs the Business Research Data Lab, which operates a custom-built distributed system for continuous large-scale data acquisition. His research using network analytics has produced significant findings regarding regional business variations, board appointment discrimination mechanisms, and startup viability factors.