Find Academic Supervisors

Maria HedqvistView profile

Adjunct Associate Professor

• Clinical Psychology
• Developmental Psychology
• Cognitive Psychology
• +3 more

Maria Hedqvist serves as an Adjunct Associate Professor in the Department of Psychology at Uppsala University, specializing in Clinical Psychology, and holds a postdoctoral position at the Centre for Clinical Research, County of Västmanland. Her dual appointments bridge academic research and clinical practice in child mental health, with physical offices at Von Kraemers allé 1A/C in Uppsala and Västmanland County Hospital in Västerås. Her research program integrates Clinical Psychology and Developmental Neuroscience , focusing on anxiety disorders, infant attachment security, executive function development, and early predictors of behavioral issues. She employs longitudinal designs, eye-tracking, and physiological measures (e.g., pupil dilation) to investigate cognitive-emotional processes from infancy through childhood, with emphasis on clinical translation for early intervention. Analysis of her publication history reveals consistent themes in developmental psychopathology: validation of cross-cultural assessment tools (e.g., Adult Anxiety Scale), mechanistic studies of innate fear responses (spider/snake reactivity), and longitudinal tracking of executive function emergence. Her work demonstrates methodological rigor in infant cognition research while addressing practical applications in well-baby clinics and community mental health settings.

Siegfried RouvraisView profile

Associate Professor

• Engineering Education
• Higher Education Systems
• Curriculum Design
• +8 more

Siegfried Rouvrais is an Associate Professor and Research Scientist at IMT Atlantique, part of the Institute Mines-Télécom, and a CNRS research fellow at Lab-STICC. He specializes in engineering education and software systems research, focusing on curriculum design, decision-making skills in VUCA contexts, and enterprise architecture. His affiliations include IMT Atlantique (Brest, France), CNRS, and international collaborations like the CDIO initiative. Education: PhD in Software Architecture and Distributed Systems Modeling from University of Rennes/IRISA (2002) Research Interests: Engineering Education Systems (curriculum transformation, accreditation frameworks, project-based learning) and Software Systems (non-functional properties, service composition, model-driven engineering). His work integrates educational and technical domains to enhance program quality and student readiness for volatile environments. Recent Articles Highlight: Analysis of curriculum resilience in VUCA contexts, design of expedition learning models, and frameworks for higher education systems. His publications emphasize interdisciplinary methods, quality assurance, and global educational collaboration. Awards: Best Paper Award (MOPAS 2011), Emerging Innovative Course Prize (2021). Grants & Projects: Coordinator of DECART (€400k), HOOD (ongoing), DAHOY (€395k), and others. Advised over 50 student projects, with roles in program evaluations (e.g., French Engineering Accreditation Commission). Labs/Teams: Member of Lab-STICC’s P4S team (Safe & Secure Systems) and former leadership in PASS and ACS2 research groups.

Nicholas PearceView profile

Assistant Professor

• Structural Biology
• Macromolecular Structure Determination
• X-ray Crystallography
• +7 more

Nicholas Pearce is an Assistant Professor at Linköping University, affiliated with the Department of Physics, Chemistry and Biology (IFM) and the Bioinformatics (BIOIN) division. He leads the Data-Driven Determination of Macromolecular Structures (D3MS) group, also known as PearceLab @ LiU, and is affiliated with SciLifeLab and the Wallenberg Centre for Molecular Medicine (WCMM) through the Data-Driven Life Sciences (DDLS) program. His research focuses on advancing structural biology by developing computational and experimental methods that capture the dynamic nature of proteins. Key interests include protein flexibility, disorder, and functional dynamics, with applications in drug discovery and macromolecular modeling. The group employs techniques such as X-ray crystallography, cryo-EM, machine learning, and statistical modeling to improve the resolution and interpretability of macromolecular structures. The recent publications highlight a strong focus on software and method development for structural biology, particularly in multi-dataset analysis and crystallographic data processing. The work contributes to open-source tools like the CCP4 suite and introduces novel approaches such as PanDDA and PanDEMIC.adp for detecting ligand binding and modeling disorder. While no formal scientific awards are listed in the provided text, his involvement in major collaborative projects and national research initiatives underscores his growing impact in the field. He actively mentors students and welcomes Master’s candidates to join his research group. Nicholas began his independent research career at Linköping University on October 1, 2022, with funding supporting the launch of his lab. His group emphasizes data-driven decision-making in structural analysis and collaborates extensively within Sweden and internationally. Current projects include multi-dataset analysis for fragment screening and decomposition of protein disorder using elastic net models. The D3MS group is active in outreach and scientific communication, maintaining a blog and public presence, including a Twitter feed. They have participated in international research visits, such as a recent trip to the University of Hamburg, and national conferences like Sweprot in Tällberg.

Jan RolfesView profile

Associate Professor

• Optimization under Uncertainty
• Distributional Robustness
• Data Science
• +7 more

Jan Rolfes is an Associate Professor in the Department of Mathematics at Linköping University, specializing in Applied Mathematics (TIMA). He also holds concurrent research and teaching roles at RISE - Research Institutes of Sweden and the University of Erlangen-Nuremberg, Germany, where he serves as Interim Professor for Data Driven Design of Dynamical Systems. His academic affiliations span Sweden and Germany, reflecting a transnational research profile in optimization and data science. Research Interests: His work centers on optimization under uncertainty , particularly in systems affected by stochastic fluctuations such as renewable energy grids. He integrates distributional robustness to protect decisions against rare but impactful events and employs data science to model complex dependencies, such as weather impacts on energy production. His research extends into economics, engineering disciplines (electrical, chemical, vehicular), and metric and discrete geometry, using advanced mathematical tools like semidefinite and mixed-integer programming. Recent Research Trends: His latest publications (2024–2025) demonstrate a strong focus on robust optimization frameworks, geometric optimization problems, and data-driven approximations. The articles reveal a consistent methodological thread—using mathematical programming to address uncertainty in both theoretical (e.g., discrete geometry) and applied (e.g., nanotomography, power systems) domains. Keywords across these works include distributional robustness, mixed-integer programming, semidefinite programming, and data-driven modeling. Scientific Awards: No awards or fellowships are mentioned in the provided text. Advising and Grants: While no formal list of advisees is provided, Jan Rolfes has been advised by prominent researchers including Frank Vallentin, Jan Kronqvist, and Michael Jünger, indicating a strong mentorship network. He has collaborated extensively, particularly with Frauke Liers and others in optimization and computer science. No grants are explicitly mentioned, but his positions at RISE and Linköping University suggest involvement in funded research projects. Labs and Teams: He is affiliated with the Division of Applied Mathematics (TIMA) at Linköping University, which conducts research in computational mathematics, optimization, and mathematical statistics. His work at RISE connects him to the Unit of Power Systems, and his role at Erlangen-Nuremberg links him to data science and dynamical systems research teams.

Maxim MiterevView profile

Assistant Professor

• Project Management
• Organizational Design
• Sustainability Transitions
• +3 more

Maxim Miterev is an Assistant Professor in Industrial Management at the School of Industrial Engineering and Management (ITM) at KTH Royal Institute of Technology. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center addressing societal challenges through digital technology innovations. His research focuses on project-based organizations, organizational design, and systemic transitions, with a particular emphasis on experimental networks and business model innovation. Miterev also holds a Senior Lecturer role at KTH, contributing to both academic and applied research. His research explores intersections between project management, organizational structures, and sustainability transitions. Key areas include understanding mechanisms driving project success, alignment between organization design and value creation processes, and leveraging experimental networks for innovation in established industries. His work bridges theory and practice, addressing challenges in digitalization, urban development, and public policy. Recent publications highlight trends in exploring project conceptualizations, organizational design frameworks, and mechanisms enabling systemic transitions. Miterev’s contributions advance methodologies for analyzing project-based systems and their societal implications. He participates in collaborative initiatives across KTH, Stockholm University, and RISE Research Institutes of Sweden, fostering interdisciplinary solutions to complex challenges. Based at Osquars Backe 5 in Stockholm, Digital Futures serves as a hub for his research activities. Contact details include miterev@kth.se and maxim.miterev@indek.kth.se. His work emphasizes practical relevance while advancing theoretical frontiers in project studies and organizational dynamics.

• Waste Management
• Circular Economy
• Environmental Science
• +2 more

Kamran Rousta is a researcher at the University of Borås , affiliated with the Academy of Textiles, Technology and Economics and the Department of Resource Recycling and Community Development . His academic work focuses on waste management, circular economy, and sustainable practices in urban and institutional settings. Research Interests Waste segregation and behavioral interventions Upcycled food production and consumer acceptance Life cycle assessment of food waste Design strategies for sustainable packaging Fungi-based food systems and ecoethics Doctoral Supervision Rousta serves as the main supervisor for doctoral students Zisen Liu and Samira Syed at the University of Borås. Publications His recent work (2023–2025) emphasizes global-local dynamics in waste management, food waste reduction technologies, and behavioral drivers for sustainable consumption, particularly in Sweden, Brazil, and India.

• Textile Recycling
• Sustainable Textile Technology
• Polymer Materials
• +3 more

Anders Persson serves as a Senior Lecturer in Textile Materials Technology at the Department of Textile Technology, Faculty of Textiles, Engineering and Business, University of Borås. He has been a faculty member at the university since 2011, contributing significantly to both research and education in sustainable textile technologies. Dr. Persson completed his doctoral studies in polymer materials at Chalmers University of Technology in 1997. His early career focused on research and development of degradable polymer-based implants for orthopedic applications before transitioning to textile technology research. His primary research interests include resource-efficient textile recycling, mechanical recycling processes, sustainable fiber production, and polymer applications in textiles. Dr. Persson's work investigates how to mitigate fiber length loss during mechanical recycling through innovative pre-treatment methods, contributing to the development of circular economy solutions for the textile industry. His publication record shows a clear evolution from polymer science (1990s) to specialized textile recycling research (2014-present), with recent publications focusing on abrasive pre-treatments, spinnability of recycled fibers, and regenerated cellulose technologies. These works collectively advance knowledge in sustainable textile production and waste management. Currently active in research projects: Textile back to textile Testbed Textile Recycling Erasmus+ project Atom (focused on international student recruitment) As an educator, Dr. Persson contributes to the master's program in textile technology and serves as co-supervisor for doctoral students, including Katarina Lindström Ramamoorthy. His research bridges academic inquiry with practical industry applications, addressing critical sustainability challenges in textile production and waste management.

• Historical Linguistics
• Philology
• Legal History
• +2 more

Charlotte Busing is a Lecturer in Swedish as a second language at the Department of Nordic Languages, Uppsala University. She has been teaching Basic Swedish courses since 2009 and served as course administrator and coordinator for Basic Swedish in spring 2011. Her academic qualifications include: Licentiate in Nordic Languages, Uppsala University (2009) Dr. Busing's research focuses on Historical Linguistics and Philology , specializing in textual analysis of 16th century Swedish district court documents. Her work examines legal references to national laws and civilian document usage within judicial settings, bridging Legal History and Nordic Philology during Sweden's early modern period. Publication trends reveal consistent interdisciplinary methodology combining philological analysis with legal-historical inquiry, primarily centered on Dalarna's court records from 1544-1559. Both major works investigate how written documents functioned within judicial frameworks before standardized legal codification. She has instructed courses including Swedish as a second language B ("Bilingualism and linguistic variation"), Nordic languages A ("Language and society"), and foundational Basic Swedish programs since 2009.

Helena Wangefelt StrömView profile

Senior Lecturer

• Museology
• Cultural Heritage Studies
• Religious Heritage
• +5 more

Helena Wangefelt Ström is a Senior Lecturer at Uppsala University's Department of ABM (Archaeology, History, Cultural studies, and Religious studies) and a Visiting Researcher at the Center for Multidisciplinary Research on Religion and Society (CRS). She holds a PhD in Museology and specializes in the intersection of sacredness and cultural heritage, particularly in museum contexts. Teaches in Master's programs in ABM and Digital Humanities Focuses on religious heritage, critical heritage studies, early modern history, and AI's role in cultural heritage practices Research Themes include: Transformation of religious objects/places between sacred and heritage categories AI classification in heritage contexts Methodological development for interdisciplinary research Political and identity dimensions of heritage Recent Publications examine: Heritagization processes in early modern Italy and Sweden Museum impact on sacredness through curatorial models Religious dissent networks in EMoDiR reports Relic commodification and ethical challenges As a CRS Scientific Council member, she co-leads the Secularism and Human Rights theme. Her work bridges historical analysis (Rome/Venice 17th century) with contemporary heritage management debates.

Christoph EggerView profile

Assistant Professor

• Cryptography
• Computational Complexity
• Statistical Privacy
• +7 more

Christoph Egger is an Assistant Professor at Chalmers University of Technology in the Department of Computer Science and Engineering, where he works with the Security & Privacy Lab and the Crypto Team. Prior to this position, he was a Marie-Curie Fellow at Institut de Recherche en Informatique Fondamentale (IRIF) from fall 2022 to 2024, researching connections between cryptography and complexity theory. His educational background includes: PhD: "On Abstraction and Modularization in Protocol Analysis" Master's: "An implementation of global caching for the alternation-free coalgebraic μ-calculus" Bachelor's: "Analysing and attacking the I2P Network Database" Dr. Egger's research focuses on cryptography and its connections to computational complexity, statistical privacy, and formal methods. His work spans multiple areas including cryptographic foundations (random oracles, key agreement protocols), privacy-enhancing technologies (ring signatures, information flow techniques), and practical applications in genomic data security. He develops both theoretical frameworks and practical tools like CryptoZoo for cryptographic proof visualization, bridging the gap between theoretical cryptography and real-world security challenges. His recent publications demonstrate a strong focus on cryptographic foundations and privacy technologies, with significant contributions to ring signatures, key agreement protocols, and genomic data security. His work bridges theoretical cryptography with practical applications in blockchain, anonymous communications, and healthcare data management, showing consistent productivity across multiple high-impact venues in security and privacy. Dr. Egger has served on program committees for prestigious conferences including IEEE Computer Security Foundations Symposium (CSF), Proceedings on Privacy Enhancing Technologies (PETS), and Conference on Applied Cryptography and Network Security (ACNS). He currently advises PhD students Lucia Lavagnino at Chalmers and Kirthivaasan Puniamurthy at Aalto University. Previously, he advised Master's students including Julian Brost and Kirthivaasan Puniamurthy. His Marie-Curie Fellowship was cofunded by EU H2020 Marie Sklodowska-Curie Action and FSMP Comunity Service. Dr. Egger is an active member of the Security & Privacy Lab and Crypto Team at Chalmers. He is also a founding member of the FAUST CTF team and has been a Debian Developer for over a decade, contributing to various Free Software projects including the Linux kernel and Git version control system, demonstrating his commitment to both academic research and practical software security.

• Cardio-renal epidemiology
• Chronic Kidney Disease (CKD)
• Nephrology
• +5 more

Juan-Jesus Carrero is a Professor in cardio-renal epidemiology at Karolinska Institutet’s Department of Medical Epidemiology and Biostatistics, with additional roles as Senior Researcher at Danderyd Hospital’s Division of Renal Medicine and Lektor at Örebro University School of Medicine. His research focuses on improving prevention and management of chronic kidney disease (CKD), integrating kidney function into clinical decision-making. He has authored over 550 articles and 30 book chapters, with 70,000+ citations and an H-index of 94. Key engagements include co-directing the ISRNM educational program, guideline development for KDIGO and ESPEN, and editorial roles at European Heart Journal and Nephrology Dialysis Transplantation . Education includes a PhD in Medicine (2008, Karolinska Institutet) and Pharmacy (2005, University of Granada). Awards include the 2021 ERA Research Excellence Award and US National Kidney Foundation’s Distinguished Fellow designation. Current research leverages national healthcare registries like the Swedish Renal Registry and SCREAM project to study CKD progression, cardio-renal interactions, and modifiable risk factors (diet, medications). Collaborates with global networks and welcomes partnerships in cardiorenal epidemiology. Advised 8 PhD students (e.g., Marco Trevisan, Björn Runesson) and supervises 5 current candidates (Mikael Eklund, Alessandro Bosi). Postdoctoral researchers include Faizan Mazhar and affiliated scholars at Harvard/PEKing universities. Grants include studies on anticoagulant safety, sex differences in kidney disease, and protein-energy wasting. Labs collaborate with biostatisticians like Prof. Arvid Sjölander to advance methodological rigor.

• Neurological Rehabilitation
• Geriatric Medicine
• Motor Control Disorders
• +3 more

Erika Franzén is a Professor at Karolinska Institutet's Department of Neurobiology, Care Sciences and Society. She holds a joint position with Karolinska University Hospital and Stockholms Sjukhem. Her roles include Vice-Chair of the Doctoral Studies Committee (2019–2022), Acting Head of Department, and Scientific Director of the uMOVE core facility. She earned her PhD in Medical Sciences from Karolinska Institutet, with postdoctoral training at Oregon Health & Science University. Education: Bachelor's and Physiotherapy Diploma: College of Caring Science, Boden Master's in Physiotherapy: Karolinska Institutet PhD in Medical Sciences: Karolinska Institutet Research Focus: Balance and motor control in elderly and neurological patients (e.g., Parkinson's disease, spinal cord injury). Her Franzén Group translates lab findings into clinical rehabilitation, with 20+ members including PhDs, postdocs, and assistants. Key areas include neuroplasticity, exercise interventions, and digital health solutions. Teaching & Leadership: Leads courses in postural control, gait analysis, and neurorehabilitation. Serves on educational boards and committees, including the Physiotherapy Program's Theme Committee and KI's Pedagogical Academy. Grants & Collaborations: Active in securing funding (e.g., Swedish Research Council grants for Parkinson's rehabilitation, pre-surgical physical training studies). Collaborates internationally on projects like Park-MOVE and CanOptiPhys. Labs/Teams: Heads the Franzén Group, focusing on balance, gait, and exercise in neurological diseases. Affiliated with uMOVE core facility for movement analysis.

Ola HermansonView profile

Professor

• Neurodevelopment
• Neuro-oncology
• Epigenetics
• +5 more

Ola Hermanson is a Professor of Neuroscience at the Department of Neuroscience, Karolinska Institutet. His research focuses on understanding transcriptional and epigenetic mechanisms governing brain development, function, and disease, including neurodevelopmental disorders and brain tumors like glioblastoma. He employs cutting-edge technologies such as 3D bioprinting, bioelectronics, and molecular biology to study neural stem cells and cancer stem cells. Education and Positions: Professor of Neuroscience, Karolinska Institutet (2021–present) Senior Scientist, Karolinska Institutet (2009–2021) Assistant Professor, Karolinska Institutet (2003–2009) Postdoctoral Training, UC San Diego (1997–2002) PhD in System Neurobiology, Linköping University (1991–1997) Medical School, Lund University (1987–1990) Research Interests: Neural stem cell differentiation, epigenetic regulation, glioblastoma and medulloblastoma biology, biomedical engineering, and biomaterials. His lab develops technologies like 3D printing and bioelectronics to advance precision medicine. Publications: Over 70 peer-reviewed articles in prestigious journals like Nature , Cell , and Molecular Psychiatry . Recent work includes lithium's role in reversing radiation damage in neural progenitors and bioprinting for tumor modeling. Awards: Includes the ENI Young Investigator Award (2005), Strategic Professorship (2021), and recognition from the Canadian Government for Sweden-Canada collaboration. Teaching and Outreach: Course coordinator for neuroscience education programs (FoLäk1/2, anatomy courses). Engaged in pedagogical innovation, including TBL-based learning and neurotech education through NeurotechEU. Labs/Teams: Leads the Molecular Neurodevelopment and Neuro-Oncology group at KI. Founded the imaging core facility CLICK and co-founded Celluminova (stem cell markers SME).

Camilla WarnickeView profile

Associate Professor

• Social Equality
• Sign Language Interpretation
• Deaf Studies
• +4 more

Roles & Affiliations: Camilla Warnicke is an Associate Professor affiliated with Social Work at Örebro University. She currently serves as a visiting researcher at Stockholm University's Institute of Interpreting and Translation, and works part-time as a research funding advisor at Region Örebro County's Grants Office (RÖL). She is also a researcher and teacher at the Sign Language Interpreter and Deaf-Blind Interpreter Education program in Örebro. She holds an authorized interpreter certification between Swedish and Swedish Sign Language (STS). Research Interests: Her work focuses on social equality, participation, and interaction dynamics between individuals and society. Key areas include interpretation between Swedish and Swedish Sign Language, deaf populations, and deafblindness. She employs Conversation Analysis (CA) to study remote interpreting practices in services like the Swedish Video Relay Service (VRS). Collaborations: Active in multidisciplinary projects such as 'Remote interpreting between spoken and signed languages' (Region Örebro), 'Social equality and road safety' (funded by Swedish Transport Administration), and 'Better communication in congenital deafblindness' (Forte-funded with Linköping University). She also collaborates with the National Knowledge Center for Deafblind Issues (Nkcdb). Teaching & Supervision: Supervises doctoral student Charlotte Ryman at Örebro University's Department of Health Sciences. Teaches at undergraduate, postgraduate, and doctoral levels, including courses on remote interpreting and medical research funding. Leads courses at Stockholm University's sign language interpreting program. Awards & Recognition: None explicitly mentioned in the text. Labs & Teams: Part of research groups 'Deafblindness in a Multidisciplinary Perspective' and 'Social Work and Care across the Life Course (SAOL)'. Involved in initiatives like the 'Sign Language and Deaf-Blind Interpreter Education' program at Fellingsbro Folk High School.

Erik FriskView profile

Professor

• Fault Diagnosis
• Vehicle Control Systems
• Autonomous Vehicles
• +2 more

Erik Frisk is a Professor and Deputy Head of Department at Linköping University's Department of Electrical Engineering (ISY), where he also serves as Head of the Vehicular Systems division. This division operates under the Wallenberg Autonomous Systems Program (WASP) and focuses on control, diagnosis, and supervision of vehicle functions. His research spans fault diagnosis, vehicle control systems, autonomous vehicles, electric vehicle routing, and vehicle dynamics. Key projects include route planning for heavy-duty electric vehicles developed with Scania and Ragn-Sells, and the Fault Diagnosis Toolbox—a Matlab-based platform for analyzing and designing fault diagnosis systems for dynamical systems. Analysis of his 2024-2025 publications reveals a concentrated effort on robust motion planning under uncertainty, predictive control for autonomous vehicles, and naturalistic driving data analysis for heavy vehicle performance. His work consistently bridges theoretical control systems with practical applications in electrified and autonomous transportation. Frisk leads a multidisciplinary research team within the Vehicular Systems division, fostering academic-industrial collaborations that advance vehicle technology through real-world problem solving and innovation.