جست‌وجوی استاد و پژوهشگر

Mais A.M. Qandeelمشاهده پروفایل

مدرس ارشد

• International Humanitarian Law
• Palestine Occupation Studies
• Digital Rights and Cybersecurity
• +۳ مورد دیگر

Mais A.M. Qandeel serves as Senior Lecturer at Örebro University's School of Behavioural, Social and Legal Sciences, specializing in International Law and Law & Technology. She holds a Ph.D. in International Humanitarian Law from the University of Fribourg (Switzerland) and an LLM from the University of Pittsburgh (USA), with over 15 years of experience at international institutions across Switzerland, Belgium, Netherlands, USA, and Palestine. Her research centers on three critical themes: (1) Palestine under military occupation, (2) implications of digital technologies on human rights and cybersecurity norms, and (3) environmental protection in armed conflicts. Her teaching portfolio includes Legal Tech, AI and Automation , Cybersecurity and Cybercrime , and Comparative Law , covering digital discrimination, data privacy, and international cyber norms at both graduate and undergraduate levels. Her recent publications reveal a clear trajectory toward digital rights in occupied territories, with 2024-2025 works focusing on cyber surveillance in Palestine, facial recognition regulation, and constitutional frameworks for digital rights. These integrate environmental law with conflict studies through agent-based modeling of environmental damage. Dr. Qandeel actively participates in the LDA - Law, Digitization and AI research environment and leads projects like Investigating Digital Rights in Palestine . Her scholarly impact spans editorial roles in Law and Sustainable Development: Swedish Perspectives (2021) and contributions to the Max Planck Encyclopedia of Comparative Constitutional Law . Her operational framework includes directing FIRE Conference initiatives and presenting at major venues including RightsCon, CPDP.ai, and International Court of Justice symposia. Current work examines data violence in occupied territories and the ICJ's 2024 advisory opinion on Palestine.

• Medical Image Analysis
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Lee Jollans is a Researcher at Linköping University, affiliated with the Department of Health, Medicine and Caring Sciences within the Faculty of Medicine and Health Sciences. His research focuses on applying Machine Learning and Deep Learning techniques to medical image analysis, particularly in the context of mental health, addiction, and neuroimaging. He holds a Postdoc position at LiU since 2023, following a Postdoc at the Max-Planck Institute for Psychiatry (2018–2022) and a PhD in Psychology from Trinity College Dublin (2016–2018). His work spans computational psychiatry, neuroimaging biomarkers, and predictive modeling for mental disorders. Key areas include diagnosing eating disorders, depression, and alcohol use disorders using machine learning, analyzing cortical thickness variations in depression, and exploring stress-induced neurobiological mechanisms (e.g., BDNF maturation). He collaborates with the Center for Medical Imaging and Visualization and the Circulation and Metabolic Cardiovascular Risk Factors group. His projects include WASP-DDLS (HUDI) for complex diagnostic imaging data and AIDA for whole-heart anatomy assessment from 3D CT scans. Colleagues include Professors Tino Ebbers and Petter Dyverfeldt. Lee’s articles highlight trends in integrating neuroimaging with psychometric data for predictive modeling, machine learning applications in adolescent mental health, and advancing diversity initiatives in academic neuroscience.

Ulf Holmbergمشاهده پروفایل

استاد

• Control Theory
• Mechatronics
• Robotics
• +۳ مورد دیگر

Ulf Holmberg is a Professor in Control Theory at Halmstad University's School of Information Technology. His research focuses on mechatronic systems, robotics, and advanced control methodologies with applications in automotive engineering and health technology. Research Areas: Control theory, mechatronics, combustion engine optimization, and assistive robotics Collaborations: Works with industrial partners in automotive and health technology sectors Teaching: Involvement in mechatronics curriculum development His publications highlight innovative sensor applications in combustion analysis and orthotic control systems. While no formal awards are documented in the source material, his work demonstrates cross-disciplinary impact in automotive engineering and rehabilitation robotics.

• Digital Governance
• Sustainable Development
• Archival Science
• +۳ مورد دیگر

Tove Engvall is an Associate Professor at Mid Sweden University , affiliated with the Department of Communication, Quality Technology and Information Systems (KKI) and the subject area Archival and Information Science . With a PhD in information systems from the University of Agder, Norway, her career bridges academic research and public-sector digitalization initiatives. Research Interests Digital governance in global contexts Trust in digital technologies Archival science and sustainable development Information systems for climate governance Open data and records management Publications reflect a focus on digital global governance, particularly climate-related initiatives. Her work integrates archival science with sociotechnical perspectives, addressing challenges like trust-building in online environments and the role of digital infrastructure in policy implementation. Professional Involvement includes membership in the Forum for Digitalization (FODI) and participation in projects such as the Swedish E-delegation on e-archives and the international InterPARES Trust project. She has advised the Swedish Transport Administration on strategic information provision.

• Media and Communication Sciences
• Journalism
• Political Humor
• +۳ مورد دیگر

Sara Ödmark is a researcher at Mid Sweden University's Department of Communication, Quality Technology and Information Systems. Formerly a journalist with extensive experience at Swedish Radio and Swedish Television, she now focuses on interdisciplinary research at the intersection of journalism and entertainment. Her work examines political humor, news satire, and hybrid media environments. Doctor of Philosophy (2021) from Mid Sweden University Core affiliation: DEMICOM research center Teaching: Journalism Program and Master by Research Research interests include: Political comedians' roles in societal debate Differences between journalistic and comedic news framing Constructive journalism and podcasting Humor's dual nature in polarizing vs. unifying contexts Platform-dependent media production dynamics Hybrid genre negotiation in Nordic media Recent publications demonstrate consistent focus on: Satirical content analysis across 2015-2024 News framing theory applications Hybrid media environment challenges Digital virality and audience engagement Ethical dimensions of political humor Democratic functions of satire Active in academic conferences including: ICA Washington (2019) ECREA Lugano (2018) Nordmedia Malmö (2019) Participates in research networks through DEMICOM, Mid Sweden University's Media and Communication Research Center.

Thomas Vakiliمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Artificial Intelligence
• Data Privacy
• +۴ مورد دیگر

Thomas Vakili is a doctoral researcher at the Department of Computer and Systems Science , Stockholm University , affiliated with the Natural Language Processing Research Group . His work intersects language technology, artificial intelligence, and privacy protection , focusing on mitigating data leakage risks in large language models while maintaining utility. Education: MSc in Computer Science and Engineering (KTH Royal Institute of Technology) Research explores privacy-preserving NLP through techniques like pseudonymization and de-identification, with applications in clinical data and Swedish electronic health records . Recent projects include End-to-End Pseudonymization of BERT models and analysis of eponyms in clinical text . Publications in BMC Medical Informatics , LREC , and NoDaLiDa conferences address privacy risks , model utility , and cross-lingual NLP . He supervises bachelor's and master's theses and teaches courses in NLP , Internet Search Techniques , and Digital Business Strategies .

• Electrical Power Engineering
• Renewable Energy Integration
• Electromagnetic Transients
• +۳ مورد دیگر

Mebtu Bihonegn Beza is an Associate Professor at Chalmers University of Technology, Sweden, specializing in Electrical Power Engineering . His research focuses on power electronic converters, grid stability analysis, and HVDC transmission systems, particularly for offshore wind farm integration. Education: M.Sc., Lic.Eng., and Ph.D. in Electrical Power Engineering from Chalmers (2009, 2012, 2015) Key Research Themes: Grid-forming converters, electromagnetic transients, renewable energy system stability, and impedance/resonance analysis Recent publications (2024–2023) analyze advanced control strategies for converters, including small-signal stability, multiport architectures, and inertia emulation techniques. He collaborates on projects related to frequency-based stability tools and PhD programs with Addis Ababa University. Projects: Frequency-based analysis tool for converter-dominated grids (Swedish Energy Agency, 2023–2027) PhD program collaboration with Addis Ababa University (2018–2025) Contact: mebtu.beza@chalmers.se

Markus Furendalمشاهده پروفایل

پژوهشگر

• Political philosophy of Artificial Intelligence
• Ethics of AI
• Distributive justice
• +۶ مورد دیگر

Markus Furendal is a researcher at the Department of Political Science, Stockholm University, and is also affiliated with the Institute for Futures Studies in Stockholm. His work spans political philosophy, ethics of artificial intelligence, distributive justice, and the philosophy of work, with a particular emphasis on how transformative AI technologies should be governed and how their benefits and burdens ought to be distributed. Education Ph.D. Political Science, Stockholm University (2020) M.Sc. Political Science, Stockholm University (2014) B.Sc. Political Science, Stockholm University (2012) Research Interests At the intersection of politics, economics and philosophy, Furendal investigates the social and ethical impact of Artificial Intelligence . Core questions include how the gains created by increasingly capable AI should be shared across society and what democratic legitimacy requires of global AI governance regimes. He brings insights from distributive justice and democratic theory to bear on concrete policy problems raised by AI. Complementing this, he pursues Egalitarianism and the Future of Work , analysing whether AI-driven automation will augment human capacities or stunt human flourishing, and exploring institutional reforms such as collective capital ownership (e.g., revived wage-earner funds) that could secure both justice and democracy in a post-work future. Publication Trends Across 2022-2025 his articles coalesce around three interlinked themes: (1) developing normative frameworks for global AI governance that satisfy democratic legitimacy criteria; (2) interrogating the value and future of work under advanced automation; and (3) theorising contributive justice —the moral duties individuals have to sustain just institutions. Journals include Nature Machine Intelligence , Journal of Applied Philosophy , Political Studies , Philosophy & Technology and International Studies Review , demonstrating cross-disciplinary reach from political theory to AI ethics and technology policy. Scientific Awards & Distinctions No major named prizes are listed; however, his dissertation Do Your Bit, Claim Your Share was published as a monograph by Stockholm University (ISBN 978-91-7911-305-6) and he held visiting fellowships at: Department of Philosophy, Harvard University Department of Politics & International Relations and the Centre for the Study of Social Justice, Oxford University Teaching & Advising Furendal teaches courses across the undergraduate and master’s curricula at Stockholm University, including: Samtida politisk teori (Contemporary Political Theory) Jämlikhetens teori och praktik (Theory and Practice of Equality) Att studera demokrati (The Study of Democracy) Bachelor’s and Master’s thesis supervision He has also supervised bachelor theses at Södertörn University College. No specific PhD advisees are named in the provided text. Research Projects & Teams Since 2024 he is co-lead on two funded projects: Automated Decision-Making in the Public Sector (Institute for Futures Studies) Democracy and the Global Governance of AI (Stockholm University) He previously held a post-doctoral position examining the emergence and normative implications of international AI regimes. He co-edits an upcoming volume on global AI governance and convenes regular panels at the MANCEPT Workshops in Political Theory.

Jenny Perssonمشاهده پروفایل

استاد

• Cancer Metastasis
• Molecular Oncology
• Targeted Cancer Therapy
• +۵ مورد دیگر

Professor Jenny Persson leads cutting-edge cancer metastasis research at Umeå University's Department of Molecular Biology within the Faculty of Medicine. Her work focuses on deciphering molecular mechanisms driving cancer spread and developing targeted therapies, particularly for prostate and breast cancers. She maintains active laboratory facilities at the Hospital Area (Plats 6K and 6L) in Umeå and serves on the Faculty of Medicine Council for AI and Autonomous Systems. Her research centers on lipid kinase pathways (PIP5K1α/PI3K/AKT), androgen receptor signaling, and tumor microenvironment interactions. Key interests include: Mechanisms of bone metastasis in prostate/breast cancers Development of PIP5K1α inhibitors (e.g., ISA-2011B) Nanoparticle-based cancer detection systems Integration of AI for diagnostic algorithms and treatment prediction Recent publications demonstrate a strong shift toward AI-enhanced diagnostics, liquid biopsies, and nanoparticle therapeutics. Persson directs significant research funding including EU framework projects (GlycoImaging 721297, REVERT 848098-H2020-SC1-2) and grants from the Swedish Cancer Foundation, Swedish Research Council, and Swedish Children Cancer Foundation. She serves on the Research Grant Review Committee of the Swedish Cancer Foundation and previously held positions as Professor and Head of Experimental Cancer Research at Lund University and Honorary Professor at the University of Nottingham. Her laboratory maintains extensive national and international collaborations with clinical and preclinical researchers, focusing on translating molecular discoveries into clinical applications for metastatic cancers.

• Artificial Intelligence and Law
• Legal Informatics
• Jurimetrics
• +۵ مورد دیگر

Peter Wahlgren is a Professor of Law and Information Technology at the Faculty of Law, Department of Law, Stockholm University, appointed to this position in 2001. His academic career spans over three decades at the intersection of legal scholarship and technological innovation. His educational credentials include: LL.D. (1992) from Stockholm University with dissertation "Automation of Legal Reasoning: A Study on Artificial Intelligence and Law" (Kluwer) Docent (Habilitation) in Jurisprudence (Allmän rättslära) and Law and IT (Rättsinformatik), both awarded in 1994 Professor Wahlgren's research centers on legal methods, proactive law, legal risk analysis, and legislative techniques, with pioneering contributions to legal informatics and jurimetrics. His work examines how computational methods transform legal reasoning and law-making, particularly through artificial intelligence applications. He investigates the evolution from traditional "Lex Scripta" toward "Law 4.0" systems in the digital age, emphasizing risk-based approaches to legal design. His publication trends reveal a strategic progression from foundational AI-law studies toward contemporary regulatory frameworks for emerging technologies. Recent works focus on AI governance, legislative adaptation to technological complexity, and the societal implications of automated legal systems. His scholarship consistently appears in Scandinavian Studies in Law and specialized yearbooks addressing law and informatics. Scientific awards: No specific awards or honors are documented in the provided materials. He leads significant research initiatives including the Bridge Project (2015 deliverable on societal implications) and the Dual Twins project (2024), while serving as editor for the Scandinavian Studies in Law series. His grant portfolio demonstrates sustained funding for interdisciplinary technology-law research. Professor Wahlgren co-founded and actively participates in the Nordic Conference on Law and IT (upcoming 40th conference in 2024), serves within the Swedish Law and Informatics Research Institute (celebrating 50 years in 2018), and contributes to the Institute for Scandinavian Law's editorial board. His current projects address AI patent landscapes (2025) and regulatory complexity in digital governance.

• Randomized algorithms
• Machine learning
• Big Data
• +۳ مورد دیگر

Devdatt Dubhashi is a Professor at the Data Science and AI 3 department at Chalmers University of Technology. His research spans multiple domains within computer science and data science, with a focus on theoretical foundations and practical applications of algorithms and machine learning. Professor Dubhashi's primary research interests include the design and analysis of randomized algorithms, machine learning for Big Data, and computational biology. His work demonstrates a strong interdisciplinary approach, connecting theoretical computer science with practical applications in diverse fields such as quantum computing, transportation modeling, genomics, and social sciences. His research often bridges the gap between theoretical foundations and real-world implementations, as evidenced by his numerous collaborations across different domains. Dubhashi's recent publications reveal a consistent research trajectory focusing on algorithmic foundations of machine learning, with increasing emphasis on interdisciplinary applications. His work shows significant contributions to bandit algorithms, kernel methods, graph-based learning, and the theoretical understanding of deep learning models. There's also a growing focus on societal implications of AI, as seen in his publications addressing responsible AI development and policy considerations. Among his notable scientific contributions are publications in prestigious venues including ACM, IEEE, and Nature journals, covering topics from fundamental algorithm design to applications in computational biology and social sciences. His work has been cited extensively across multiple disciplines, reflecting its broad impact. Professor Dubhashi actively supervises PhD students and collaborates with researchers across Chalmers and internationally. His research group appears to focus on the intersection of theoretical computer science and practical machine learning applications, with projects spanning quantum computing, transportation modeling, and biological applications.

• Statistics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Erik Kristiansson is a Professor in the Department of Applied Mathematics and Statistics at Chalmers University of Technology's School of Engineering Sciences. His academic work bridges computational methods with biological applications, focusing on the analysis of complex biological datasets using advanced statistical and machine learning approaches. Professor Kristiansson's research centers on applying statistical methods, machine learning, and artificial intelligence to analyze complex datasets from molecular biology and medicine. His primary applications focus on infectious diseases, antibiotic resistance mechanisms, and environmental science challenges. His work demonstrates a strong interdisciplinary approach, connecting mathematical modeling with real-world biological problems, particularly in understanding the spread and evolution of antibiotic resistance through environmental pathways and clinical settings. His publication record shows a consistent focus on antibiotic resistance gene identification, environmental contamination with pharmaceuticals, and the development of computational methods for biological data analysis. Recent work demonstrates increasing application of advanced machine learning techniques, including transformer models, to predict chemical toxicity and antibiotic resistance patterns. His research often involves large-scale genomic and metagenomic data analysis to track resistance gene dissemination across different environments. Professor Kristiansson actively collaborates across disciplines, working with environmental scientists, microbiologists, and medical researchers to address complex problems at the intersection of computational science and biological systems. His work on optical DNA mapping for bacterial typing represents an innovative approach to pathogen identification directly from clinical samples.

• Control Systems
• Networked Systems
• Distributed Control
• +۳ مورد دیگر

Emma Tegling is a Senior Lecturer (Associate Professor) at the Department of Automatic Control , Lund University , with a Wallenberg AI, Autonomous Systems and Software Program (WASP) professorship. She holds multiple roles including Deputy Head of Department, Project Manager, and Profile Area Member in AI & Digitalization and Natural & Artificial Cognition. Her research focuses on analysis and control of large-scale networked systems , with emphasis on distributed control, power networks, and social/epidemiological networks. Tegling earned her PhD in Electrical Engineering from KTH Royal Institute of Technology (2019) and held postdoctoral positions at MIT IDSS. She has led projects on network controllability, optimization, and societal applications. Notable contributions include scalable control design for vehicular formations and optimal control of linear cost networks. Her work aligns with UN Sustainable Development Goals related to affordable clean energy and industry innovation. Education: PhD in Electrical Engineering, KTH Royal Institute of Technology (2019) M.Sc. and B.Sc. in Engineering Physics, KTH Royal Institute of Technology (2013, 2011) Research Trends: Recent articles emphasize minimax optimal control, compositional design for nonlinear systems, and multipolar opinion dynamics in biased networks. Themes include scalability limits, distributed algorithms, and transients in networked systems. Grants & Projects: Leads WASP-funded projects on learning in networks and dynamic socio-technical systems. Involved in initiatives like the European Control Conference 2024. Supervises PhD students in control systems and network dynamics. Labs & Teams: Active in the Department of Automatic Control research groups focused on network science and AI-driven control solutions, contributing to Lund University's AI and Digitalization profile.

Mikael Axinمشاهده پروفایل

دانشیار

• Fluid Power Systems
• Mechanical Engineering
• Hydraulic Systems
• +۳ مورد دیگر

Mikael Axin is an Associate Professor at Linköping University's Department of Management and Engineering, specializing in Fluid and Mechatronic Systems. He teaches courses in machine elements, product development, and hydraulics, and supervises bachelor and master's theses. His research focuses on hydraulic systems for mobile machinery, energy efficiency, and system dynamics, with a particular emphasis on fluid power and mechanical design. Education: PhD in Fluid and Mechatronic Systems, Linköping University (2015) Licentiate of Engineering in Fluid and Mechatronic Systems, Linköping University (2013) Master of Science in Mechanical Engineering, Linköping University (2009) Research Interests: Dr. Axin explores hydraulic system optimization in mobile applications, including energy efficiency, pump control strategies, and damping design. His work bridges theoretical modeling with practical implementation, addressing challenges in industrial machinery and sustainable engineering solutions. Awards: Recipient of the Gyllene Skiftnyckeln award for Best Teacher (2013) Ingeströmska Stiftelsen Scholarship for overseas studies (2010) Teaching and Development: He actively contributes to pedagogical innovation, including digitalizing exams to enhance student accessibility and reduce environmental impact. His courses emphasize hands-on learning and real-world problem-solving in mechanical engineering. Lab/Team: His work is conducted within the Product Realisation (PROD) unit, collaborating with industry partners to advance fluid power systems and product development methodologies.

Laura Orellanaمشاهده پروفایل

استادیار

• Biophysics
• Computational Biology
• Structural Biology
• +۳ مورد دیگر

Laura Orellana is an Assistant Professor at the Karolinska Institute , Department of Oncology-Pathology. Her research bridges computational biophysics and structural biology to study protein conformational dynamics in cancer and mendelian diseases . Education : PhD in Physics (summa cum laude, University of Barcelona), MD in Medicine (University of Barcelona), MSc in Biophysics and Structure & Function of Proteins, BSc in Biochemistry Research Interests focus on protein dynamics , evolutionary mutational patterns , and conformational profiling of tumors. She develops multiscale simulation methods (normal modes, molecular dynamics, machine learning) to identify dynamically hot mutations and conformation-specific drug targets . Her 15 recent publications span topics from oncogenic EGFR mutations to ribosomal protein dysplasias , emphasizing computational approaches to decode protein structure-function relationships across cancer and genetic disorders . Scientific Awards : Extraordinary Prize for Academic Excellence in Biochemistry (2006) EMBO Biomolecular Simulation Bursary (2012) Biophysical Society Travel Award (2016) EMBRACE-Rigaku-EBI Bursary (2009) IUBMB-FEBS Young Scientist Program Fellow (2012) She leads the Protein Dynamics and Cancer Lab , advising PhD students like Knut-Rasmus Bergendahl and Gustav Lind. Grants include the Swedish Research Council Starting Grant (2022), Cancerfonden Junior Investigator Award (2021), and KI Tenure-track Faculty Position (2019).