Find Academic Supervisors

Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.

• Human-Computer Interaction
• Virtual Reality
• Social Virtual Reality
• +4 more

Petteri Nurmi is a Professor of Computer Science at the University of Helsinki, affiliated with the Department of Computer Science and the Helsinki Institute of Sustainability Science (HELSUS). His research focuses on IoT systems, environmental monitoring, AI-driven solutions, and sustainable computing. He leads projects such as the NordForsk-funded initiative (2024-2028) and the Team Finland Knowledge programme (2024-2026), emphasizing large-scale IoT deployments and quantum computing integration. Key research interests include drone-based air quality monitoring, low-cost sensor networks, and AI applications in environmental science. Nurmi has published extensively in top venues like IEEE IoT Journal and ACM workshops. His work bridges technical innovation with societal challenges, such as urban pollution reduction and sustainable resource management. He supervises doctoral students in the Computer Science program and collaborates internationally on projects like underwater plastic detection (SEAGULL) and smart city infrastructure. Nurmi’s contributions to edge computing and pervasive sensing have been recognized through grants totaling over €2M. His lab develops tools for data-intensive systems, including thermal imaging for energy efficiency analysis and AI-driven sensor fusion frameworks.

• Environmental Monitoring
• Internet of Things (IoT)
• Artificial Intelligence (AI)
• +7 more

Jari Murto serves as Associate Professor at the Faculty of Law, University of Helsinki, where he specializes in Labour and Social Law. With over two decades of academic and practical experience, he contributes significantly to Finnish and European labour law discourse through publications, policy analysis, and academic leadership. His educational qualifications include a Doctor of Laws (LL.D), Master of Science in Economics and Business Administration, and Master of Laws (LL.M). Murto's doctoral dissertation Ryhmänormit yrityksessä (Group Norms in Companies, 2015) established foundational research on workplace norm systems. Murto's research examines labour law doctrines, norm systems, working conditions determination, and transition-phase labour market issues. He analyzes EU policy impacts on national frameworks, lifelong learning integration into labour law, and psychosocial workplace safety. Recent work addresses digital workplace challenges, parental employment policies, and just transitions in green/digital economies. His scholarship bridges theoretical legal frameworks with practical industrial relations through frequent commentary on Supreme Court decisions. As Doctoral Programme Supervisor, Murto mentors emerging legal scholars while maintaining active peer review roles. He serves on Finland's Board for Strengthening General Applicability of Collective Agreements and participates in European labour law networks including the Labour Law Research Network and Nordic Network of Labour Law Scholars. His conference activities span topics from social packages in income policy agreements to lifelong learning's role in modern labour law. Murto maintains strong engagement with practical legal applications through Supreme Court commentary series ( KKO:n ratkaisut kommentein ) and regular contributions to Lakimies journal. His research methodology combines doctrinal analysis with empirical studies of workplace practices and policy implementation.

• Labour Law
• Social Law
• Employment Policy
• +5 more

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +3 more

Nathaly Carolina Pinto Torres is a Doctoral Researcher at Aalto University's Department of Design, working on critical design interventions for marginalized communities. Since 2020, she has led the "Emergencia de Educación en la Amazonía Ecuatoriana" project, collaborating with indigenous students and Confeniae to develop pictographic communication systems challenging social exclusion. Her research spans: Participatory design with indigenous communities Gender justice in education during crises Epistemic justice in plurinational contexts Visual resistance strategies in Amazonian regions Postcolonial educational frameworks Design for socio-environmental transformation Publication trends show focus on: Visual communication systems for marginalized groups Crisis-driven educational design Decolonial methodologies Intersectional analysis of exclusion Epistemic justice in academia Collective resilience building Scientific recognition includes: Best Demo Award (2021) SENESCYT International Graduate Scholarship (2019) Netherlands Fellowship Programmes (NFP) (2010)

• Participatory Design
• Indigenous Education
• Gender Justice
• +4 more

Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.

• Edge Computing
• Extended Reality (XR)
• Wearable Computing
• +7 more

Kimmo Vehkalahti is a Senior University Lecturer and docent at the University of Helsinki, specifically affiliated with the Centre for Social Data Science within the Faculty of Social Sciences. He serves as a Teachers' Academy Supervisor in the doctoral program and maintains an active research profile with numerous publications and projects. His research interests focus on social data science, social statistics, multivariate methods, open data science, and statistical data processing using R programming. Vehkalahti has developed expertise in applying statistical methods to social science research questions and data visualization. His recent publications demonstrate a strong focus on multivariate analysis applications in behavioral sciences, social data visualization, and student well-being research. The publications span diverse areas including statistical methodology, data visualization techniques, and educational interventions. Fellow of the Teachers' Academy (2013) Best Teacher of the City: Kaupungin Paras Opettaja (2010) Good Teacher: Hyvä Opettaja (2009) Magister Bonus - Good Teacher (2003) One of the best teachers of Open University (2017) Vehkalahti actively supervises academic work with 40 thesis supervisions and 10 PhD supervisions documented. He participates in significant research projects including SASE Stress as strength in education (since 2022) and WELLS - Promoting university students' well-being and life-long learning (since 2019). His academic service includes conference participation, peer review, and organizational roles in international statistical organizations.

• Social Data Science
• Social Statistics
• Multivariate Methods
• +3 more

Koray Tahiroglu is a University Lecturer at Aalto University's School of Arts, Design and Architecture, specializing in Sound and Music Computing. His work bridges artificial intelligence, digital musical instruments, and embodied interaction, with a focus on deep learning applications in audio synthesis and human-AI creative collaboration. His research explores New Interfaces for Musical Expression (NIME), sonic interaction, and physical computing. He collaborates with SOPI Research Group and Google Brain Team (Magenta) on AI-driven artistic innovation. Recent Publications : 2024 studies on dance-sound cross-correlation and intra-action frameworks; 2023 work on AI-terity and deep learning syllabi; 2022 explorations of GAN synthesis, musical expectations, and lifeworld sonification. Scientific Awards : Co-Creative Artificial Intelligence of Music (2022) 2010 grant for scientific publications and artistic activities 2017 Honorable Mention for mobile cultural heritage research Tahiroglu contributes to digital art education and leads projects at Media Lab Helsinki, advancing sonic interaction and generative audio systems.

• Sound and Music Computing
• Music technology
• Artificial intelligence
• +8 more

Ossi Naukkarinen is a Professor in the Department of Art and Media at Aalto University . Holding a doctoral degree in Humanities from the University of Helsinki , his career spans academic leadership, artistic research, and interdisciplinary inquiry. As Senior Fellow at the University of Münster , he maintains international collaborations. Research Focus: Specializing in everyday aesthetics and environmental aesthetics , Naukkarinen explores the intersection of art, technology, and sustainability. His work bridges traditional aesthetic theory with digital humanities , examining topics like artification and aesthetic footprints . Recent projects include Finnish Quantum Flagship and EDUCA (Future Education for Wellbeing). Publications & Impact: With 75+ research outputs and 73 active projects, his scholarship spans 1992-2025. Notable works include AI-aesthetics intersections ( Contemporary Aesthetics , 2025) and analyses of mass culture ( Popular Inquiry , 2022). His research contributes to UN Sustainable Development Goals, particularly Education and Environmental Sustainability . Awards & Leadership: Recognized as Academic Author of the Year 2012 , he serves on editorial boards and doctoral committees. Current projects include Aalto Lab Mexico and Academy of Finland -funded initiatives.

• Everyday Aesthetics
• Environmental Aesthetics
• Digital Humanities
• +4 more

Paavo Alku is a Professor of Speech Communication Technology at Aalto University's Department of Information and Communications Engineering. With academic credentials from Helsinki University of Technology (M.Sc. 1986, Lic.Tech. 1988, Dr.Sc.Tech. 1992), he has held academic positions at Asian Institute of Technology (1993) and University of Turku (1994-1999). Current research focuses on speech production analysis, parametric speech synthesis, and speech-based biomarkers for health monitoring Actively develops machine learning models for voice disorder detection and Parkinson's disease classification Principal investigator for projects including SymptoSonic (2024-2025) and HEART (2020-2024) His recent publications emphasize: Wavelet scattering for neurological speech analysis Fisher vector representations in voice disorder classification Machine learning approaches to vocal intensity categorization Respiratory aerosol emission during speech production Formant tracking through hybrid neural network/LP methods Awarded: IEEE Fellow (2020) Academy Professor (2015-2019) Multiple best student paper awards at ICASSP and Interspeech

• Speech Communication Technology
• Speech Signal Processing
• Machine Learning Applications in Speech Analysis
• +3 more

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +3 more

Lasse Lipponen is a Professor in the Department of Educational Sciences at the University of Helsinki, where he leads research on cultural-historical approaches to children's learning and development. He serves as a supervisor in the Doctoral Program in Cognition, Learning, Teaching and Communication, as well as the Doctoral Program in School, Education, Society and Culture. His academic work spans over two decades with 198 research outputs documented from 1997-2025. Professor Lipponen's research primarily focuses on cultural-historical approaches to learning , with special emphasis on early childhood education contexts. His work explores collaborative care configurations, childhood grief processing within institutional settings, and digital play-based learning in marginalized communities. As director of the Learning, Culture & Interventions (LECI) research group, he examines how cultural practices shape children's developmental trajectories and learning experiences. His recent publications (2023-2025) demonstrate a clear thematic progression toward understanding emotional development in educational settings, particularly children's grief experiences, and the integration of digital technologies in early literacy development. The research shows strong interdisciplinary connections between educational psychology, cultural anthropology, and developmental science. His scientific contributions have been recognized with five major awards: HEI Schools awards (2018) - Best Product, Best Service, and Grand Prix of 2017 from Grafia Open Museo Project award (2013) - Museum Pedagogical Act of the Year Hyvä Opettaja - Magister Bonus award (2008) Professor Lipponen has supervised numerous doctoral candidates and serves extensively in academic service roles, including 15 thesis examinations, 15 peer reviews, and leadership positions in international committees. He currently leads the Academy of Finland-funded project 'Children's grief and grieve in institutional early childhood education' (2021-2025) and is a key participant in the Playful Learning Center initiative (2014-2026). His external engagements include board membership with Mandai Park Development LTD (2017-2019) and chairing roles with Singapore University of Social Sciences. His research ecosystem includes collaborations with international institutions and practical applications through HEI Schools, which he co-founded as an international education platform translating research into practice for early childhood educators worldwide.

• Educational Sciences
• Early Childhood Education
• Cultural-Historical Approaches to Learning
• +5 more

Laura Albareda is a Full Professor of Sustainable Business and Entrepreneurship at LUT Business School, LUT University, Finland. She previously served as Assistant Professor at Deusto Business School (2011–2017) and remains a Visiting Professor there. Her research lies at the intersection of sustainable business, circular economy, and institutional governance, with a focus on collective action and polycentric systems. Her research interests include sustainable business models, corporate social responsibility (CSR), commons organizing (commoning), traceability, and sustainability-oriented innovation. She explores how businesses can regenerate natural ecosystems, particularly through collective stakeholder initiatives in sectors like mining, bioeconomy, and electric mobility. Her work integrates institutional theory and dynamic capabilities to analyze systemic change toward sustainability. The most recent articles reflect a strong trend in studying sustainability transitions through governance, innovation, and stakeholder networks. Key themes include circular economy as collective action, traceability in supply chains, democratic quality in multi-stakeholder governance, and dynamic capabilities for sustainability innovation. Her research spans disciplines such as business ethics, industrial marketing, technological forecasting, and cleaner production, highlighting interdisciplinary engagement. Dexter Award Best International Paper (2019) Best Business Ethics Paper (2019) at the Academy of Management Annual Meeting Distinguished Winner of Responsible Research in Management Award (2023) Laura leads the Academy of Finland-funded project ‘Action4Commons’ (2022–2025) on business and biodiversity in circular economy systems. She is also a principal researcher in EU Horizon Europe projects RELIEF and REINFORCE on sustainable mobility and circular battery models, and PRIMED on bioeconomy living labs. She advises and collaborates with multiple research teams and platforms, including SCI-MAT at LUT University, where she leads research on sustainable and circular business models and value chains. She is actively involved in academic service, including peer reviewing for journals such as Journal of Business Ethics and Humanistic Management Journal . Her work combines theoretical rigor with practical impact, aiming to transform business toward planetary and social well-being.

• Sustainable Business
• Corporate Social Responsibility
• Circular Economy
• +12 more

Matti Minkkinen is a Docent at the Turku School of Economics (University of Turku) and a Postdoctoral Researcher in Information Systems Science at the Department of Management and Entrepreneurship. His work bridges futures studies with ethics, privacy, and socio-technical systems in digital transformation. Recent roles focus on responsible AI governance and foresight methodologies. University: University of Turku School: Turku School of Economics Department: Department of Management and Entrepreneurship His research explores how digital technologies reshape organizational practices, emphasizing Futures Consciousness as a human capacity. Key themes include responsible AI , privacy protection , and causal layered analysis in scenario planning. Publications highlight ethical governance frameworks and EU policy debates. Recent articles address generative AI ethics , ML system integration , and AI auditing across journals like Communications of the Association for Information Systems and Information and Management . Topics cluster around socio-technical systems, digital ethics, and institutional adaptation to AI. Teaching and editorial roles include co-curating student research collections at Finland Futures Research Centre. No explicit scientific awards are listed, but his work contributes to foresight theory and practice.

• Digital Transformation
• Responsible Artificial Intelligence
• Foresight Methods
• +4 more

Anton Berg is a Postdoctoral Researcher at the University of Helsinki, affiliated with the Department of Digital Humanities within the Faculty of Arts and the Helsinki Institute for Social Sciences and Humanities (HSSH). He is also a member of the methodological unit at HSSH, focusing on interdisciplinary research at the intersection of cognitive science, religious studies, and artificial intelligence. His educational background spans computer science, cognitive science, and religious studies, enabling him to bridge technical and humanistic approaches to AI. His research primarily investigates how commercial image recognition systems interpret and categorize religious content, exploring issues of bias, representation, and the datafication of religion. Berg's research interests include computer vision systems, automatic image recognition, machine and deep learning, large language models, and the relationship between religions, worldviews, and values related to AI technologies. He particularly focuses on inequality issues, the datafication of religion, the datafication of societies, the social scientific study of religion, and the cognitive science of religion. His work combines technical analysis of AI systems with social scientific perspectives on religion and technology. His recent publications demonstrate a strong focus on examining biases in commercial image recognition services, particularly regarding religious content, with significant contributions to understanding representational silence and racial biases in these systems. He has also conducted important work on pandemic psychology, contributing to large-scale international studies on COVID-19 responses across 69 countries. Berg has been actively involved in numerous academic activities, including presentations at international conferences on topics such as computer vision in religious studies, mediatized religious populism, and biases in image recognition services. His research has been presented at venues including the International Association for the Cognitive Science of Religion. His teaching areas include religious studies, cognitive science, data science, and religion and technologies, reflecting his interdisciplinary approach to understanding the relationship between digital technologies and religious phenomena.

• Cognitive Science
• Computer Vision
• Religious Studies
• +7 more