جستجوی استاد راهنمای دانشگاهی

Abdallah Houcheimi is a researcher at Åbo Akademi University's School of Business and Economics within the Faculty of Humanities and Social Sciences. His work focuses on critical e-commerce mechanisms and emerging market digitalization challenges. His research expertise centers on online retailing ecosystems , with particular emphasis on: Secure payment system design and consumer trust dynamics Product information architecture for conversion optimization E-commerce adaptation in developing economies like Lebanon His work directly contributes to UN Sustainable Development Goals related to industry innovation and infrastructure. Analysis of his recent publications reveals an evolving research trajectory from context-specific market studies (Lebanon 2022) toward fundamental e-tailing mechanics (global payment systems and product information 2024). This progression demonstrates increasing focus on universal digital commerce frameworks applicable across diverse regulatory and cultural environments. Houcheimi actively publishes in peer-reviewed venues including the Journal of Organizational Computing and Electronic Commerce and WorldCIST proceedings, with multiple open-access publications showing significant download metrics (70+ for payment systems paper). His collaborative work with J. Mezei indicates established research partnerships in information systems.

• E-Commerce
• Online Retailing
• Consumer Behavior
• +۳ 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).

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

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
• +۳ مورد دیگر

Jonna Häkkilä is a Professor of Industrial Design at the Faculty of Art and Design, University of Lapland and serves as Vice Dean (Research). She holds a Docent title in Human-Computer Interaction and Computer Science from the University of Oulu (since 2011). Her primary research group is LUX (Lapland User Experience Design). Research focuses on user-centered design, wearable technology, cultural heritage digitization, and ethical technology integration with marginalized communities. She leads projects like the MAGICS National Infrastructure for Human in the Digital World and Indigenous Digital Storytelling with New Media. Awards include Best Demo Award at Pervasive Displays 2019 and Best Paper Award at MUM 2017. Active in organizing international conferences and supervising 3 doctoral works. Engaged in Arctic resilience initiatives through co-creative methodologies.

• User Experience Design
• Wearable Technology
• Human-Computer Interaction
• +۴ مورد دیگر

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
• +۷ مورد دیگر

Toni Rantanen is a Doctoral Researcher at Aalto University in the College of Built Environment. His work focuses on integrating geospatial data with game engine technologies for advanced 3D visualization and analysis of urban environments. Specializes in digital twin applications Active in urban sustainability research Collaborates with the MeMo research group Research Interests Geospatial Data Integration : Developing frameworks for open data standards in urban digital twins 3D Visualization : Creating immersive virtual environments for watershed analysis and lighting simulations Environmental Analysis : Using game engines for change detection and urban park evaluation Interactive Mapping : Designing user-friendly geospatial tools Reality Modeling : Capturing built environment changes through multitemporal data Recent publications demonstrate expertise in urban digital twin development , 3D geovisualization , and game engine applications for environmental research. Collaborative work spans multiple disciplines including urban planning , GIS technology , and virtual reality evaluation .

• Geospatial Data
• Urban Planning
• 3D Visualization
• +۲ مورد دیگر

Felix A. Epp is a Postdoctoral Researcher at Aalto University's Department of Design, with an external position at the University of Helsinki (2024-2026). His work sits at the intersection of human-computer interaction, wearable technology, and design research, focusing on how interactive technologies shape human practices and future societies. Education: Doctor of Science in Technology, Aalto University (2023) Master's degree in Arts and Design, Hochschule Darmstadt (2014) Bachelor's degree in Arts and Design, Hochschule Darmstadt (2011) Epp's research explores embodied technological experiences and technology-mediated social practices, with a particular focus on wearable technologies and their impact on social-cultural practices. His doctoral work investigated how wearables shape clothing practices, and his recent work integrates critical futures studies with practice-based research to incorporate anticipation in technology innovation. He employs generative design research and qualitative fieldwork methods, including research through design in everyday contexts and participatory design approaches. His fingerprint reveals strong engagement with Wearable Technology (100%), Human-Computer Interaction (62%), and Design Research (56%). His publication record shows a clear trajectory toward anticipatory design and futures thinking in HCI, with increasing focus on how technologies can help us engage with uncertain futures. His recent work bridges design research with critical futures studies, creating methods like the Future Ripples Method to activate anticipatory capacities in innovation teams. This evolution reflects a growing recognition of the need for designers to anticipate multiple possible futures rather than designing for a single predetermined outcome. Scientific Awards: CHI 2025 Honorable Mention Award MUM 2020 Honourable Mention Award Epp has been actively involved in significant research projects including 'FutureMethods: Methodology for HCI evaluations of possible futures' (2020-2024) and 'Digital Aura: Crafting a Digital Representation of Self in the Physical World' (2017-2021). His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of his research. He serves on program committees for major conferences including ACM DIS and CHI, demonstrating leadership in the HCI community. His research contributes to Sustainable Development Goals related to technology and society, with particular relevance to responsible consumption and production through his work on smart clothing in circular economies.

• Human-Computer Interaction
• Wearable Technology
• Design Research
• +۵ مورد دیگر

Jarno Vanne is a Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences at Tampere University. His research focuses on video coding standards, real-time systems, and hardware acceleration, particularly in the context of FPGA implementations and open-source tools. He leads projects involving VVC (Versatile Video Coding), V-PCC (Volumetric Video Coding), and HEVC (High Efficiency Video Coding), with an emphasis on efficiency, low latency, and machine learning integration. Key research interests include point cloud compression, saliency-guided encoding, parallelization schemes, and real-time video communication protocols. His work often addresses challenges in multi-party video streaming, embedded systems, and encryption mechanisms for privacy protection. He has contributed to open-source projects like the UVG dataset, Kvazaar encoder, and CiThruS simulation frameworks. Recent publications highlight advancements in VVC intra encoding optimizations, machine learning-driven partitioning schemes, and FPGA-accelerated solutions for edge computing. His research bridges theoretical video coding algorithms with practical implementations, aiming to improve compression efficiency while maintaining real-time performance.

• Video Coding
• Machine Learning
• FPGA Acceleration
• +۳ 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.

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

Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems. Key research interests include: Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering) Formal methods for control system validation and safety-critical applications Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems Interoperability between legacy and modern industrial standards (OPAS, OPC UA) Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems. He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.

• Industrial Automation
• Control Systems
• Machine Learning Applications
• +۵ مورد دیگر

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
• +۸ مورد دیگر

Namkyu Chun is a Lecturer at Aalto University's Department of Design, specializing in fashion and textile futures. With a focus on sustainability, interdisciplinary collaboration, and redefining design practices, Chun's work bridges fashion theory, material culture, and transformative futures. Their research explores the intersection of human/non-human relationships in design, climate-responsive practices, and ethical material engagement. Key research areas: Fashion Design, Sustainable Practices, Design Futures, Interdisciplinary Collaboration Awards: 2024 Ziman Award (CreaTures Project), 2017 Finnish-Danish Cultural Foundation Scholarship, 2017 Helsinki Urban Facts Grant, 2015 Subtle Visibility Award Recent publications examine topics such as '1.5 Degree Lifestyles,' 'Pluriverse' frameworks, and revival of dressmaking traditions. Chun collaborates with institutions like University of Sussex, RMIT, and Superflux, integrating artistic inquiry with systemic change. Their work appears in journals including Fashion Theory , The Design Journal , and Fashion Practice .

• Fashion Design
• Sustainable Fashion
• Interdisciplinary Collaboration
• +۳ مورد دیگر

Andrea Botero is an Associate Professor at Aalto University's Department of Design, leading the INUSE research group focused on designer-user relations in socio-technical change. She holds adjunct professorships at Universidad de los Andes' Faculty of Architecture and Design (COL) and guest professorship at Aalborg University's Centre for Sustainable and Digital Transformation (DK). Academic Background: Doctor of Arts (New Media, Aalto University), MA in Product and Strategic Design (Aalto), BA in Industrial Design (Universidad Nacional de Colombia) Her research explores participatory design, science and technology studies, and transformative creative practices. Key themes include: Relational and caring interactions in design More-than-human approaches to environmental challenges Decolonial design methodologies Recent publications analyze feral mapping, pictogram politicization, and entangled knowledge production. She has received international recognition including the Ziman Award (2024) and MAST Network funding. Active in teaching MA and doctoral design programs, she also engages in multigenerational diversity activism through NGOs Ninho ry (Finland) and Utopiabio (Colombia).

• Participatory Design
• Collaborative Design
• Science and Technology Studies
• +۷ 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.

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

Kari M. Koskinen is a University Lecturer at Aalto University's Department of Information and Service Management. His research focuses on cybersecurity, digital ecosystems, and technology management with applications in healthcare, agriculture, and smart cities. He frequently collaborates with scholars like Hadi Ghanbari and Sonja Hyrynsalmi on topics ranging from ransomware mitigation to sustainable mobility solutions. His work emphasizes real-world case studies, such as analyzing the Vastaamo psychotherapy clinic data breach and examining supply chain attacks in manufacturing. Key contributions include frameworks for cloud-based integration platforms, risk management in digital ecosystems, and the socio-technical implications of autonomous vehicles. Koskinen also explores visibility labor in NFT markets and how digital platforms address development challenges in the Global South. His teaching cases, published in the Journal of Information Technology Teaching Cases, bridge theoretical concepts with practical cybersecurity scenarios.

• Cybersecurity
• Digital Ecosystems
• Cloud Computing
• +۴ مورد دیگر