جستجوی استاد راهنمای دانشگاهی

Fabian Fagerholmمشاهده پروفایل

استادیار

• Software Engineering
• Human-Computer Interaction
• Agile Development
• +۳ مورد دیگر

Fabian Fagerholm is an Assistant Professor in the Department of Computer Science at Aalto University. His work bridges software engineering, human-computer interaction, and empirical research methodologies. He actively participates in research groups such as Software and Service Engineering (SSE) and Human-Computer Interaction and Design (HCID). Fagerholm's research explores: Continuous experimentation in software development Developer cognition and mental models Agile methodologies and team dynamics Low-code platforms and end-user programming Software engineering education and pedagogy His publications reflect a strong empirical focus, with recurring themes of human factors in technical systems and educational innovation. He has received notable awards including: Journal of Systems and Software Best Paper Award (2018) EUROMICRO SEAA Distinguished Paper Award (2017) Teacher of the Year (2013) Nokia Foundation Scholarship (2013) Fagerholm contributes to software engineering infrastructure through tools for experimentation and boundary artifacts, enhancing collaboration in distributed teams.

Sakari Melanderمشاهده پروفایل

استاد

• Criminal Law
• EU Criminal Law
• Constitutional Law
• +۴ مورد دیگر

Sakari Melander is a Professor at the Faculty of Law , University of Helsinki, specializing in Criminal Law , with a focus on constitutionalization, Europeanization, and sentencing policies. His work bridges theoretical criminal law with practical legislative and policy challenges. Key research areas include EU criminal law, constitutional constraints on criminal legislation, and general doctrines of criminal law. He has extensive experience in parliamentary legal consultation, providing expert opinions to Finland’s Legislative Committees (e.g., on immigration control, anti-corruption directives, and digital evidence handling). Recent publications address topics like EU corporate sanction policies, constitutionalization of criminal law, and reforms in Finnish sentencing systems. His 2025 article in the New Journal of European Criminal Law explores balancing administrative and criminal sanctions in the EU. Scientific awards include: Hilkka ja Otto Brusiin Foundation Thesis Prize (2001) Magister Bonus – Good Teacher Award (2014) Primustohtori Award (2010) Year’s Teacher (2010) Year’s Opponent (2008) He leads research projects such as Criminal Law Under Pressure: Differentiation and Harmonization (2012-2015) and Assessment of Human Trafficking Sanction Practices (2021-2022), and supervises doctoral theses on criminal law topics.

• Human-Computer Interaction
• Virtual Reality
• Social Virtual Reality
• +۴ مورد دیگر

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.

• Security Engineering
• Science of Security
• Human-Computer Interaction
• +۴ مورد دیگر

Janne Lindqvist is an Associate Professor at the Department of Computer Science, Aalto University. His research bridges security engineering, human-computer interaction (HCI), and privacy, with a focus on making security systems usable and user-centric. University: Aalto University Department: Department of Computer Science Rank: Associate Professor Email: janne.lindqvist@aalto.fi Lindqvist’s work spans security engineering , privacy systems , and user research , emphasizing practical authentication methods, password management, and human behavior in security contexts. He explores how users interact with systems like TPM APIs, gesture passwords, and mobile authentication mechanisms. Recent publications highlight trends in authentication systems , ubiquitous computing security , and mobile user behavior . Key themes include biometric authentication, gesture-based security, and balancing usability with cryptographic robustness. CHI'25 Honorable Mention Award CHI'24 Best Paper Award His research integrates empirical studies with technical implementations, such as analyzing password forgetting patterns and developing acoustic sensing for vehicle detection (e.g., Auto++, BO-Ear). Collaborative efforts span machine learning, psychology, and embedded systems.

• Information Discovery
• Bayesian Networks
• Information Retrieval
• +۵ مورد دیگر

Petri Myllymäki serves as Director of multiple prominent research entities at Aalto University's School of Science, including the Helsinki Institute for Information Technology (HIIT), the Department of Computer Science, the Finnish Center for Artificial Intelligence (FCAI), and his own research group. His leadership positions demonstrate significant influence in the Finnish and international AI research community. Dr. Myllymäki's research focuses on information discovery, Bayesian networks, information retrieval, and machine learning. His work bridges theoretical computer science with practical applications, particularly in developing systems that enhance how humans interact with information spaces. His research fingerprint prominently features Information Discovery (100%), Bayesian Networks (50%), Hashing (50%), Approximation Algorithms (50%), Information Retrieval (50%), structure learning (50%), Search Engine technology (37%), and Task Performance (33%). His recent publications (2015-2025) reveal a consistent trajectory in interactive information discovery systems, with increasing applications in diverse domains including decision science, public health, and social media analysis. Notably, his 2024-2025 work shows expansion into cognitive burden in decision-making, health outcomes research using machine learning, and political social media analysis – demonstrating how his core AI methodologies are being applied to address complex societal challenges. Recognized at AI Finland Gala 2024 for contribution reaching over 1.4 million users Featured in multiple media outlets including X (formerly Twitter) and Bluesky Work referenced in patents and Wikipedia pages Dr. Myllymäki actively hosts academic visitors and participates in collaborative research activities. His work contributes to UN Sustainable Development Goals through applications in information access and AI development. The Myllymäki Petri group (HIIT) serves as a hub for interdisciplinary research at the intersection of artificial intelligence, human-computer interaction, and information systems.

Brita Wårvikمشاهده پروفایل

استاد

• Discourse Analysis
• Pragmatics
• Historical Linguistics
• +۷ مورد دیگر

Brita Wårvik is a Professor in the Department of Languages at Åbo Akademi University, affiliated with the Faculty of Humanities, Psychology and Theology. She holds a Doctor of Philosophy (Phil. Dr.) from the same institution, awarded in 2013, and has been actively contributing to linguistic research for decades. Doctor of Philosophy (Phil. Dr.), Åbo Akademi University, 2013 Her research centers on discourse analysis, pragmatics, and historical English linguistics, with a particular focus on Early Modern and Medieval English texts. She investigates discourse interaction, textual structures, and pragmatic conservatism in religious prose, often employing corpus-based and textual analysis methods. Her work bridges micro and macro perspectives in discourse, exploring how semantic units contribute to broader text worlds. Analysis of her recent publications reveals a consistent trajectory in historical discourse studies, with increasing emphasis on corpus linguistics, manuscript variation, and the evolution of discourse markers. Her editorial work, such as the 2024 volume Structures in Discourse , highlights her leadership in synthesizing interdisciplinary perspectives on language use. Scientific Awards: Teacher of the Year (2001) ÅAU Student Union's Rose (2007) Brita Wårvik actively supervises and mentors academic visitors and collaborators, as seen in her hosting of scholars like Carmen Lee and Lieselotte Anderwald. She is the coordinator of the ongoing Project ICLE (International Corpus of Learner English) , securing research continuity and international collaboration. Her involvement in organizing workshops, such as the ICLE+30 FI-subcorpus Workshop in 2024, underscores her role in fostering academic exchange. In terms of research infrastructure, she is deeply embedded in the ICLE network, contributing to the development of learner language corpora. Her activities reflect strong international collaborations, particularly in the fields of historical linguistics and discourse studies, with a visible presence in both research and academic community-building.

Toni Kotnikمشاهده پروفایل

دانشیار

• Computational Design
• Architectural Engineering
• Structural Design
• +۴ مورد دیگر

Toni Kotnik is an Associate Professor in the Department of Architecture at Aalto University, Finland. He holds dual expertise in mathematics and architecture, with a Ph.D. from the University of Zurich and a second degree in architecture. His roles include principal of d’HKL , a Zurich-based experimental architecture firm, and adjunct lecturer at institutions like Harvard University and the Bartlett School of Architecture. His research focuses on integrating science, engineering, and computation into architectural design, emphasizing structural innovation and sustainability. Education: Ph.D. in Mathematics (Dr. sc. Nat.), University of Zurich, 1999 Second degree in Architecture Research Interests: Computational design and generative systems Structural aesthetics and neuroaesthetics Sustainable urban and architectural solutions Parametric modeling and material systems Key Contributions: Advances in graphic statics and form-finding Design strategies for high-density urban environments Integration of AI and generative tools in architectural practice Recent Work Trends: Recent articles emphasize computational methods for industrial layout optimization, AI’s role in architecture, and embodied perception in structural design. His work bridges theoretical research with practical applications, such as the Singapore Hawker Centre redesign and experimental structures like hypar-combined shells. Awards: Aalto University Doctoral Thesis Awards (2022) Best Presentation Award (2019) Oscari-Vilamo Award (2023) Advising & Grants: Supervised 4 theses, including recipients of awards like the Metex Award shortlist. Active in international academic networks, serving on conference committees (e.g., International Association for Shell and Spatial Structures) and editorial roles (e.g., Automation in Construction journal). Labs & Teams: Leads the d’HKL studio, collaborating globally on projects like the AA/ETH Pavilion and the Hypercube for Gardens by the Bay. Research focuses on experimental design and material systems.

Suvi Saarikallioمشاهده پروفایل

استاد

• Music Psychology
• Music Education
• Music Therapy
• +۷ مورد دیگر

Suvi Saarikallio is a Professor of Music Education at the University of Jyväskylä, Finland , affiliated with the Faculty of Humanities and Social Sciences and the Department of Music, Art and Culture Studies . She leads interdisciplinary research bridging music psychology, education, and therapy, with a focus on youth development, emotion regulation, and well-being. Research Groups: Centre of Excellence in Music, Mind, Body and Brain (2022-2029), Musiconnect (2022-2027) Key Projects: Music and You, Stress & music listening, MPACT (Music and Sports), Music and Cross-modal Associations, SOSUS (Social Sustainability for Children) Research Trends: Her recent publications explore music's role in emotional regulation, cross-modal perception, health outcomes, and educational applications. Themes include AI's impact on music evaluation, rhythm's connection to cognitive skills, and music's influence on stress and social-emotional development. Contact: suvi.saarikallio@jyu.fi

• Artificial Intelligence
• Data Science
• Computational Creativity
• +۲ مورد دیگر

Hannu Toivonen is a Full Professor of Computer Science at the University of Helsinki, affiliated with the Faculty of Science and the Department of Computer Science. He leads the Discovery Research Group and is part of the Helsinki Institute for Information Technology (HIIT) and the Finnish Center for Artificial Intelligence (FCAI). He obtained his PhD in Computer Science from the University of Helsinki in 1996 and has held his professorship since 2002. His research spans Artificial Intelligence , Data Science , Computational Creativity , and Data Mining , with applications in generative art, automated journalism, and bioinformatics. His research focuses on: Developing AI systems for creative tasks (e.g., poetry, music, and art generation) Cross-lingual natural language processing and unsupervised learning Ethical and societal implications of AI in media and labor Analysis of his 15 most recent publications (2021–2025) reveals a strong emphasis on computational creativity and AI-driven content generation , with interdisciplinary applications in digital humanities, journalism, and biology. Trends include ethical AI frameworks, human-AI collaboration, and innovative evaluation methods for generative systems. Scientific Awards & Honors: Knight, First Class, Order of the White Rose of Finland (2019) Best Applied Research Award, IEEE ICDM (1998) Honorary Member of TKO-äly (2010) Member of Finnish Academy of Science and Letters He has supervised over 20 doctoral theses and secured ~7 MEUR in grants (e.g., EU projects: Embeddia , Newseye ). He leads the Discovery Research Group and collaborates with institutions like VUB (Belgium) as a Francqui International Professor (2025).

Carlos Diaz Ruizمشاهده پروفایل

دانشیار

• Market-Shaping
• Consumer Culture
• Disinformation Research
• +۴ مورد دیگر

Carlos Diaz Ruiz is an Associate Professor (tenure-track) at the Department of Marketing, Hanken School of Economics in Vasa, Finland. He holds a Ph.D. in Marketing from Finland and has held faculty positions at Hanken, Aalto University, KEDGE Business School (France), and the University of Auckland (New Zealand). His research focuses on market-shaping, consumer culture, and disinformation, particularly in digital advertising and social media contexts. He authored the book *Market-Oriented Disinformation Research: Digital Advertising, Disinformation and Fake News on Social Media* (2025) and received the 2025 Thomas C. Kinnear Award for his work on disinformation in social media echo chambers. Dr. Diaz Ruiz’s academic career includes roles as a Lecturer and Senior Lecturer at the University of Auckland, and prior to academia, he worked as a consumer insights consultant for Latin American companies, recognized in ESOMAR's Insights250 (2022, 2024). He is an Associate Editor at the *Journal of Marketing Management* and actively publishes in top journals like *Journal of Public Policy & Marketing* and *New Media & Society*. His teaching emphasizes bridging academic research with industry needs, offering courses in qualitative research, strategic branding, and consumer culture. Methodologically, he employs business anthropology and ethnography to study consumer-led marketing strategies. Key research themes include the intersection of disinformation, social media business models, and the performative role of market representations.

• Digital Design and Manufacturing (D2M)
• Sustainable Manufacturing
• Optimization Driven Design
• +۷ مورد دیگر

Inigo Flores Ituarte is a Research Professor at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Automation Technology and Mechanical Engineering department. He leads the Digital Design and Manufacturing (D2M) research lab, focusing on sustainable manufacturing and twin-transition strategies integrating digital and green technologies. His work emphasizes optimization-driven design, additive manufacturing innovations, and AI-driven expert systems to enhance energy efficiency and reduce environmental impacts. Key research pillars include: Pillar 1: Twin-transition in Engineering Design and Manufacturing Processes, addressing sustainable manufacturing and intelligent systems Pillar 2: Development of open D2M systems and Process-Structure-Property-Performance (PSPP) linkages in advanced materials His research explores multi-disciplinary optimization combining model-based simulations and data-driven techniques. Notable contributions include generative AI integration in CAD systems, cognitive manufacturing systems, and cost-effective process monitoring using CNN-based methods. Inigo's work emphasizes environmental sustainability, with a focus on reducing manufacturing's energy consumption (54% of global use) and CO2 emissions. He advocates for interconnected material systems, smart manufacturing processes, and AI-assisted decision-making to achieve cognitive intelligence in industrial operations. His D2M lab's overarching goal is to maximize product/process performance while improving cost-effectiveness and minimizing environmental footprints. Recent projects include railway bogie demonstrators via multi-material deposition and sensor systems leveraging IoT and ChatGPT integration.

Kristiina Kumpulainenمشاهده پروفایل

استاد

• Educational Sciences
• Early Childhood Education
• Digital Literacy
• +۵ مورد دیگر

Kristiina Kumpulainen is a Professor at the University of Helsinki's Faculty of Educational Sciences, leading the Learning, Culture & Interventions (LECI) research group. Currently on leave but actively engaged in research, she supervises doctoral students in both the Doctoral Program in Cognition, Learning, Teaching and Communication and the Doctoral Program in School, Education, Society and Culture. Her scholarly contributions include 270 research outputs and leadership of 27 research projects, with recent work focusing on children's digital experiences and early childhood education systems. Her research interests center on educational sciences with emphasis on early childhood education, digital literacy development, learning environments, and educational change processes. She examines how children interact with technology, develop ecological imagination, and build multiliteracy skills across different contexts. Her work bridges theoretical frameworks with practical educational interventions, particularly examining agency-structure dynamics in educational settings and the implementation of child-centric educational systems. Analysis of her recent publications reveals consistent focus on digital childhoods, educational interventions, and comparative early childhood education systems. Her work spans multiple methodologies including qualitative case studies, comparative analyses, and theoretical explorations of learning across contexts. The research demonstrates strong international collaboration, particularly within Nordic countries and global comparative studies. Member of the Finnish Academy of Science and Letters (2019) 2020 Editor's Choice Award from British Educational Research Association (2021) Nomination for Outstanding Publication Award from EARLI (2002) Nomination for best paper award at THE POWER OF MEDIA IN EDUCATION Conference (2007) Professor Kumpulainen has supervised numerous doctoral students and served on dissertation committees. Her research has been supported by significant grants including the Australian Research Council, Finnish Academy of Science, and Nordic research networks. She actively participates in academic service through editorial boards, peer review activities (over 90 manuscript reviews), and professional committees. She directs the Playful Learning Center research laboratory, which focuses on innovative approaches to children's learning through play and technology integration.

Lea Hannolaمشاهده پروفایل

پژوهشگر

• Digital Twins
• Sustainable Manufacturing
• Industry 5.0
• +۳ مورد دیگر

Lea Hannola is a researcher at the LUT School of Engineering Sciences (Lappeenranta–Lahti University of Technology LUT) focusing on digital twins, sustainable manufacturing, and Industry 5.0. Her work bridges technological innovation with eco-conscious business practices. Academic Rank: Researcher Contact: Lea.Hannola@lut.fi Hannola's research emphasizes digital twin applications for sustainability, including circular manufacturing, smart energy systems, and human-centric industrial design. She explores competencies required for Industry 5.0 adoption, workforce empowerment through digital tools, and integration of environmental and data-driven strategies in manufacturing. Her publications span topics like smart building management , quantum computing challenges , and supply chain sustainability , with a recurring focus on simulation, interoperability, and lifecycle value creation. Key trends include AI-driven sustainability, green HRM, and digital ecosystems. As a scholar, Hannola contributes to advancing digitally extended product-service systems and addressing sociotechnical challenges in industrial digitalization. Her work impacts manufacturing competitiveness, energy efficiency, and organizational transformation.

• Lean Construction
• Real-time Production Control
• Location Based Management Systems
• +۷ مورد دیگر

Olli Seppänen serves as Associate Professor in Civil Engineering at Aalto University's School of Engineering, specializing in operations management for construction productivity improvement. He coordinates the Vision 2030 consortium—comprising 13 Finnish construction and design firms—to develop industrialized building methods for 2030, while leading multiple Business Finland-funded research initiatives focused on digital construction workflows and real-time monitoring. His research centers on lean construction principles, location-based management systems, and digital transformation through IoT, AI, and robotic vision. Key focus areas include prefabrication optimization, construction logistics, and shifting work off-site to industrialize processes. He aims to solve industry-wide productivity challenges by creating real-time situational awareness and implementing takt production systems for workflow stability. Recent publications (2024-2025) reveal strong emphasis on digital twin frameworks, semantic modeling for quality assurance, and AI applications in risk management. His work bridges theoretical lean construction concepts with practical implementations, particularly in real-time resource tracking, waste reduction in MEP work, and cross-sector learning from high-performing teams. Seppänen has received significant recognition including: School of Engineering doctoral dissertation award (2024) Best paper at IEEE Wireless Sensors Conference (2019) Nordic Conference best paper award for PhD research (2019) DSc dissertation award (2010) As principal investigator, he manages: Vision 2030 consortium projects (2-3 annually; PI for two current projects) iCONS: Real-time resource flow monitoring via indoor positioning RECAP: Deep learning analysis of progress/quality from images/point clouds DiCtion: Integrated data systems for real-time stakeholder situation pictures He actively contributes to the "Performance in Building Design and Construction" research group and leverages the Vision 2030 consortium as a collaborative platform for industry transformation, driving adoption of digitalized, industrialized construction methods through academic-industry partnerships.

Pia Frickerمشاهده پروفایل

دانشیار

• Computational Methodologies
• Urban Design
• Landscape Architecture
• +۸ مورد دیگر

Prof. Pia Fricker is an Associate Professor and Vice Head of the Department of Architecture at Aalto University's School of Arts, Design and Architecture in Finland. She holds the Professorship of Computational Methodologies in Landscape Architecture and Urbanism, directing the Urban Studies and Planning Programme. Her research integrates urban design, landscape architecture, and digital design culture, focusing on data-driven methods, immersive environments, and adaptive urban development. Collaborations include ETH Zurich, Singapore University of Technology and Design, and Hafencity University Hamburg. Key projects include the Metaversity and Future Smart Cities initiatives. Fricker has led over 80 publications and exhibitions globally, including at the Venice Biennale and National Design Centre Singapore. She is an editorial board member for the Journal of Digital Landscape Architecture and peer reviewer for multiple journals. Awards include the Digital Landscape Architecture Award (2018) and DLA Scientific Merit Award (2021). Her teaching emphasizes computational pedagogy and digital innovation in design education. Education: PhD in Architecture (ETH Zurich, 2021) Postgraduate in Didactics (ETH Zurich, 2011) MAS in Computer Aided Architectural Design (ETH Zurich, 2003) MSc Arch in Urban Design & Landscape Architecture (Technical University of Karlsruhe, 2001) Research Interests: Computational design, parametric modeling, mixed reality, climate-adaptive ecosystems, generative AI, and sustainable urban development. Her work bridges emerging technologies with ecological and urban challenges, emphasizing interdisciplinary collaboration. Grants & Projects: Metaversity (2023–2025, Principal Investigator) Future Smart Cities Sasakawa (2023–2024, Principal Investigator) ABRA (2020–2023, Project Member) Awards: DLA Awards (2018, 2021) DLA Review Committee Awards (2020–2022) Exhibition Recognitions (Venice Biennale, National Design Centre Singapore) Labs/Teams: Leads the Urban Studies and Planning Programme and collaborates with interdisciplinary teams on projects like the RAILCORRIDOR Singapore initiative. Active in digital twin development and AI-driven design tools.