Find Academic Supervisors

Miriam TedeschiView profile

Researcher

• Spatial Justice
• Data Justice
• Urban Geography
• +3 more

Miriam Tedeschi serves as a Senior Researcher at the Faculty of Law, University of Turku, and holds a docentship in Human Geography at the Department of Geography and Geology. She leads the Research Council of Finland-funded project 'Justice in Digital Spaces' (JuDiCe, 2022-2025) and maintains a fellowship at the Westminster Law & Theory Lab, London. Her academic foundation includes a PhD in Regional Planning and Public Policies (University Institute of Architecture, Venice, 2017), an MA in Philosophy, and a BSc in Digital Communication. Prior to doctoral studies, she accumulated 15 years of professional experience as an ICT research consultant. Tedeschi's scholarship merges non-representational theories and new materialism to interrogate spatio-legal dynamics across segregated spaces, migratory contexts, natural environments, and digital-physical hybrids. Her work pioneers digital spatial justice frameworks, critically examining how datafication reshapes urban equity through empirical ethnography and theoretical innovation. Analysis of her 2023-2025 publications reveals a decisive pivot toward computational justice, where legal geography intersects with AI ethics, urban informatics, and posthuman jurisprudence. These works collectively forge transdisciplinary pathways for reimagining justice in algorithmically mediated spaces. Her scientific recognition includes: Westminster Law & Theory Lab Fellowship As an educator, Tedeschi directs 'Law and the Urban' (2022-present) and co-teaches 'Systemschange.now' (2020-2024). Her JuDiCe project exemplifies major grant leadership, integrating spatial theory with digital rights advocacy through Finland's premier research funding mechanism. She co-founded the 'Law, Space and Justice' research environment at Turku's Faculty of Law, catalyzing cross-institutional collaboration on justice-oriented spatial interventions.

Päivi Leino-SandbergView profile

Professor

• EU Constitutional Law
• EU Institutional Law
• Transnational European Law
• +5 more

Päivi Leino-Sandberg is a Professor of Transnational European Law at the University of Helsinki's Faculty of Law, where she also serves as Deputy Director of the Erik Castrén Institute of International Law and Human Rights. She has established herself as a leading scholar in EU constitutional and institutional law, with extensive experience bridging academic research and practical policy work. Professor Leino-Sandberg specializes in EU constitutional and institutional law, with particular focus on: Legal expertise in EU policymaking processes Transparency and accountability in EU governance The dynamics of powers within the European Union EU integration models and constitutional development The intersection of national and EU legal systems Her recent research demonstrates a consistent pattern of examining the political dimensions of EU law through empirical and interdisciplinary approaches. Recent work has focused on the Next Generation EU recovery framework, EU transparency practices, and the evolving constitutional architecture of European integration. She frequently employs empirical methodologies to uncover the practical workings of EU legal institutions beyond formal legal texts, with publications analyzing confidential EU documents, recovery funds governance, and the language of EU legal reasoning. Professor Leino-Sandberg's scholarly contributions have been recognized with significant honors including membership in the Finnish Academy of Science and Letters (2025) and the Best referee article published in 2024 in Lakimies. Her work has been cited by the EU Court of Justice and the German Federal Constitutional Court, demonstrating its impact on legal practice. She actively supervises doctoral students and has served as an opponent for doctoral dissertations at institutions including the University of Amsterdam and University of Utrecht. Professor Leino-Sandberg has secured substantial research funding, including multiple projects from the Research Council of Finland's Strategic Research Council and foundation grants totaling over €500,000 in the past five years. Professor Leino-Sandberg leads the Erik Castrén Institute's research on EU governance and is principal investigator for major projects including '2035Legitimacy' and '(In)security and Democracy.' She frequently collaborates with international research networks and has established the University of Helsinki as a hub for critical EU constitutional scholarship.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +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.

• Machine Automation
• Autonomous Mobile Working Machines
• Heavy-Duty Robotics
• +4 more

Professor Jouni Mattila is a leading academic in Machine Automation at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Automation Technology and Mechanical Engineering department. He is part of the IHA-Innovative Hydraulics and Automation research group. His expertise spans autonomous mobile working machines, nonlinear control engineering, and safety-critical systems like those in the ITER project. He holds a Technical Editor role in ASME/IEEE Transaction on Mechatronics (2015-2020). Research interests include real-world autonomous systems, whole-body motion control for rough-terrain robots, energy-efficient actuators, and teleoperation systems. His work integrates advanced control theory, AI, and robotics for heavy-industry applications. Recent publications focus on robust control frameworks, LiDAR-inertial SLAM navigation, and fault-tolerant systems for mobile robots. Publications highlight advancements in hydraulic/electromechanical actuator systems, visual-inertial feedback control, and energy-efficient robotics. Awards/recognitions are not explicitly listed, but his contributions are evident through collaborations with Finnish industry and big science projects. Advising focuses on MSc and Dr (Tech) students in robotics and automation, with a mission to bridge academia and industry for high-tech innovation. Labs/teams include the Intelligent Hydraulics and Automation (IHA) group, emphasizing practical R&D in cleantech and heavy-duty robotics. Ongoing projects address challenges in autonomous rock-breaking systems, exoskeleton control, and energy-efficient robotic actuators.

• Educational Psychology
• Teacher Education
• Digital Competencies
• +3 more

Heidi Maija Wilhelmiina Lammassaari serves as Doctoral Researcher and Project Manager within the Research Group for Educational Psychology at the University of Helsinki's Faculty of Behavioral Sciences, actively contributing to innovation initiatives through the Doctoral Programme in Cognition, Learning, Instruction and Communication. Education: Master's in Educational Psychology (KM) from LO Her research examines the intersection of teacher cognition and modern educational challenges, with particular expertise in epistemic belief systems, digital competency development (especially practical and algorithmic ICT skills), and cross-cultural well-being frameworks. She investigates how teachers' theoretical understanding shapes classroom practices across diverse sociocultural contexts, while simultaneously exploring interventions for enhancing financial literacy among youth in digital consumer societies through projects like DigiConsum. Analysis of her 2022-2024 publications reveals a cohesive research trajectory emphasizing methodologically rigorous cross-national comparisons, with growing attention to mixed-reality learning environments and job-crafting strategies that optimize educator engagement. Her work consistently bridges theoretical educational psychology with practical innovation in teacher training. Grant Leadership: Helsinki Innovation Hub (2024-2026): Developing collaborative innovation ecosystems in education DigiConsum (2022-2025): Strategic Research Council-funded project improving youth financial skills in digital consumer society Uutta Luova Opettajankoulutus (2018-2019): Creative teacher education development Yrityselämän nuoret sukupolvet (2016-2017): Business life generational study (as Project Manager) She actively participates in the Helsinki Education Hub network, fostering connections between academic research, educational policy, and technological innovation through regular seminars and conference presentations across Nordic and international venues.

• Human-Centered Design
• Digital Ethics
• Social Technology
• +6 more

Thomas Olsson is a **Professor in Human-Centered Design** at Tampere University, affiliated with the Faculty of Information Technology and Communication Sciences and the Computing Sciences department. He leads the *Technology x Social Interaction Research Group* and the *Digital and Sustainability Transitions in Society* research platform. His work focuses on designing ICT systems that prioritize digital ethics, social sustainability, and environmental responsibility. **Research Interests**: Social technologies, sustainable design of ICT, AI-driven recruitment systems, cultural integration through technology, and the ethical implications of digital media. He employs qualitative methods and design-through-research approaches, often collaborating across disciplines like computer science and behavioral/social sciences. Current roles: Academic Director of Digital/Sustainability Transitions Platform; Head of Master's Program in Computing Sciences and Electrical Engineering Key projects: AIdience (AI in Journalism), Trust-M (Migrant Services), Big Match (Team Assembly), Emotions in Digital Media Teaching: Coordinates Human-Technology Interaction studies and develops courses like *Sustainable Design* and *Ethics of Technology* **Lab/Team**: Leads the *Technology x Social Interaction* group (collaboration opportunities available). Active in the *Rajapinta* interdisciplinary research community.

• Machine Learning
• Bayesian Optimization
• Gaussian Processes
• +4 more

Ti John is a Research Fellow at Aalto University's Department of Computer Science within the School of Science. He is affiliated with Professor Marttinen's research group and the Probabilistic Machine Learning group led by Professor Samuel Kaski. His work connects with the Finnish Center for Artificial Intelligence (FCAI) and the Helsinki Institute for Information Technology (HIIT). Dr. John's research focuses on machine learning, particularly Bayesian optimization, Gaussian processes, and point process models. His work spans theoretical developments in neural processes and practical applications in healthcare analytics and large language models. He has made significant contributions to equivariant neural processes, causal mediation analysis in healthcare, and interpretability of additive models. His publication record shows consistent output with 17 publications between 2021-2024, including multiple papers at top AI conferences like NeurIPS, ICML, and ICLR. His research demonstrates strong interdisciplinary connections between statistical modeling, artificial intelligence, and healthcare applications. Active reviewer for NeurIPS, ICLR, AISTATS Reviewer for Journal of Machine Learning Research Member of Finnish Center for Artificial Intelligence project Dr. John has been actively contributing to the machine learning community through peer review and conference participation, demonstrating expertise across multiple subfields of artificial intelligence and statistical modeling.

Samuli HonkapuroView profile

Professor

• Energy Markets
• Distributed Energy Resources
• Demand Side Management
• +5 more

Samuli Honkapuro is a tenured Professor of Energy Markets and Energy Systems at LUT University's School of Energy Systems in Lappeenranta, Finland. He leads the Laboratory of Electricity Markets and Power Systems and heads the LUT Doctoral Programme in Energy Systems. Honkapuro holds a D.Sc. (tech) from LUT University (2008) and has focused his career on advancing energy systems research and education. His research emphasizes electricity market design, integration of distributed energy resources, demand side management, and energy communities. Key themes include socio-technical challenges in renewable energy adoption, consumer behavior in demand response programs, and policy frameworks for decarbonization. He explores topics like grid flexibility, prosumer economics in mini-grids, and the socio-economic impacts of rural electrification. Notable contributions include methodologies for rural electrification feasibility, agent-based modeling of consumer enrollment in demand response, and analysis of battery storage bottlenecks. His work bridges technical innovation with societal needs, addressing both Nordic and global energy challenges. Current projects involve energy communities in agriculture, vehicle-to-grid (V2G) systems, and smart charging infrastructure. As a lab and doctoral program leader, Honkapuro fosters interdisciplinary collaboration between academia, industry, and policymakers to accelerate sustainable energy transitions. His research often combines quantitative analysis with stakeholder-driven approaches to ensure practical applicability.

• Audio Signal Processing
• Machine Learning
• Deep Learning
• +6 more

Eloi Moliner Juanpere is a Doctoral Researcher and Doctoral Student at Aalto University's School of Electrical Engineering, Department of Information and Communications Engineering. His research focuses on audio signal processing, leveraging diffusion-based generative models for tasks such as dereverberation, timbre transfer, and audio restoration. His work aligns with the UN Sustainable Development Goals through innovative contributions to audio technology. Proficient in deep learning and inverse problem solving, Moliner Juanpere has published extensively in top conferences like IEEE ICASSP and DAFx, emphasizing unsupervised methods for audio enhancement. Recent publications highlight advancements in diffusion models for room acoustics estimation blind bandwidth extension neural audio effects modeling timbre transfer in musical signals Scientific recognition includes Best Student Paper Award (1st place) at IWAENC 2024 Best Student Paper Award at ICASSP 2023 Third Best Paper Award at DAFx-22 He contributes to collaborative projects such as NordicSMC (2018–2023) and SA Profi 6 (2021–2027), focusing on neural networks and audio signal enhancement. His research also involves creating datasets like the Magnetic Tape Recorder Dataset (2023) for audio restoration applications.

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +3 more

Dr. Vishnu Unnikrishnan is an Assistant Professor at the Department of Electrical Engineering, Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on energy-efficient high-performance analog/digital/RF integrated circuits and systems in nanometer-scale CMOS technologies. Key areas include time-based data conversion, high-speed serial links, and 5G/6G wireless transceivers. He leads research on analog interfaces using digital/switch components and collaborates with the SoC Hub ecosystem to bridge academic and industrial interests in system-on-chip design. He has secured significant funding, including an EU Marie Curie ITN grant (SMArT) worth €818k and an Academy of Finland Project (2021) of €821k. His work spans over 40 peer-reviewed publications, emphasizing innovations in time-based ADCs, beamforming receivers, and RF system design. Dr. Unnikrishnan actively supervises doctoral and postdoctoral researchers, offers paid master's theses and summer jobs in IC design, and collaborates with industry through the SoC Hub. His research aims to advance cross-technology portable analog interfaces and high-performance mixed-signal systems.

• Mechanical Engineering
• Vibration Analysis
• Rotordynamics
• +3 more

Sampo Laine is a Visiting Professor at the Department of Energy and Mechanical Engineering at Aalto University, with affiliations in Mechatronics. His expertise focuses on vibration analysis, rotordynamics, and powertrain systems, contributing to the UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG 9). He holds a Doctor of Science (Tech) in Mechanical Engineering (2025), a Master of Engineering (2021), and a Bachelor of Engineering (2020), all from Aalto University. His research explores lateral and torsional vibrations in rotating machinery, electromagnetic influences on torsional systems, and vibration mitigation through active control strategies. Notable contributions include the OpenTorsion Python library for torsional vibration analysis and studies on semi-active foundation stiffness control in rotor systems. His work bridges mechanical design, digital twin technology, and collaborative engineering practices. Laine’s publications span topics such as wire rope isolators, aerostatic measurement systems, and dynamic modeling of coupled electromechanical systems. His research emphasizes practical applications in industrial machinery, automotive powertrains, and manufacturing processes. Collaborations have addressed challenges in winder dynamics, paperboard quality assessment, and roll geometry optimization. No scientific awards are explicitly listed in the provided materials. His advising and grants focus on doctoral research in mechanical systems, with a recent doctoral thesis titled Lateral and torsional vibrations in variable speed rotating machinery (2025). He is affiliated with Aalto’s Mechatronics and Energy Engineering research groups, contributing to interdisciplinary projects in vibration analysis and automated design methodologies.

Hannu HyyppäView profile

Researcher

• Laser Scanning
• 3D Modeling
• Geoinformatics
• +5 more

Hannu Hyyppä is a Research Director and Project Employee at Aalto University's Department of Built Environment, affiliated with the MeMo research group. He leads the Research Institute of Measuring and Modelling for the Built Environment, focusing on advanced laser scanning, 3D modeling, and geoinformatics. His work spans interdisciplinary collaborations across engineering, geography, and arts, with a strong emphasis on applications in cultural heritage preservation, urban planning, and environmental monitoring. Education: Doctoral degree (D.Sc.) in Engineering and Technology, Helsinki University of Technology (2000) Licentiate degree in Engineering and Technology, Helsinki University of Technology (1989) Master's degree in Engineering and Technology, Helsinki University of Technology (1986) Research Interests: Laser scanning technologies, point cloud utilization in forestry and urban mapping, virtual reality for cultural heritage, and sustainable infrastructure modeling. His expertise includes photogrammetry, geographic information systems (GIS), and decision support systems for environmental management. Recent Contributions: Over 550 publications and 30+ active projects, including the Centre of Excellence in Laser Scanning Research (2014-2019) and the Pointcloud project (2015-2021). His work advances applications in autonomous road inspection, 3D cultural reconstructions, and smart city technologies. Awards: Recipient of the 2019 Kansallinen avoimen tieteen palkinto for innovative open science contributions. Grants & Leadership: Principal Investigator for projects like DICA (Digital Cultural Heritage) and ToToRo (Automatic Road Inspection). Active in organizing workshops and international conferences on 3D technologies and laser scanning. Labs/Teams: Oversees the MeMo group and collaborates with national organizations like the Finnish Geospatial Research Institute. Develops tools for real-time 3D mapping and virtual environments.

Heini KujalaView profile

Research Professor

• Ecology
• Evolutionary biology
• Climate change
• +7 more

Heini Kujala serves as Research Director at the Finnish Natural History Museum (LUOMUS), which is part of the University of Helsinki's Faculty of Biological and Environmental Sciences. She leads the Biodiversity Informatics Unit and Conservation Informatics Research Group, and serves as Supervisor in the Doctoral Programme in Wildlife Biology. Her research focuses on systematic conservation planning, climate change impacts, and decision-making under uncertainty. Dr. Kujala's research interests center on spatial conservation optimization, spanning from reserve network design to cost-efficient management and biodiversity offsetting. She specializes in computational approaches to conservation problems, with particular expertise in how uncertainty affects conservation outcomes. While not specializing in any particular taxonomic group, her work frequently involves bird species as indicators. Her scientific fields include ecology, evolutionary biology, climate change, biodiversity conservation, conservation area planning, and modeling species distribution areas. Her recent publications demonstrate a strong focus on practical conservation applications, particularly examining how biodiversity offsetting can be made credible through transparent accounting systems, how species distribution modeling affects conservation outcomes, and how data quality influences spatial conservation prioritization. Her work bridges theoretical conservation science with practical policy implementation. Among her scientific recognition are the Olli's prize (2010) and the Young Influential Woman in Society Award (2008). She has secured significant research funding through multiple projects including BOOST II, NaturaConnect, and No Net Loss City. Dr. Kujala actively engages in academic service through board memberships with the Ministry of the Environment, USGS Patuxent Wildlife Research Center, and IUCN. She regularly hosts visiting researchers at the University of Helsinki and participates in peer review activities. Her work has received media attention for findings on the importance of small and isolated habitat patches for species survival.

Johanna GummerusView profile

Professor

• Service Marketing
• Transformative Service Research
• Digital Marketing
• +4 more

Johanna Gummerus is a Professor of Marketing at the Hanken School of Economics, specializing in service marketing and management with a focus on Transformative Service Research, innovation, and digital marketing. She examines technology's impact on consumer behavior, corporate social responsibility, and vulnerable consumer groups' well-being. Her work bridges theory and practice, contributing to academic journals like the Journal of Service Research and editorial roles at Journal of Services Marketing . Her research interests include service design, technology infusion in services, and ethical marketing practices. She has published over 30 peer-reviewed articles, emphasizing value creation in service systems and consumer agency. Key themes in her work explore service innovation dynamics, consumer vulnerability, and systemic challenges in service ecosystems. Her recent publications highlight immersive service experiences, captive service systems, and psychological interventions for vulnerable populations. She advocates for socially responsible marketing strategies that prioritize consumer well-being while advancing theoretical frameworks like marketing-as-practice. Prof. Gummerus actively contributes to academic communities through editorial leadership and theoretical advancements in service systems, emphasizing interdisciplinary approaches to modern marketing challenges.

• Machine Learning
• Artificial Intelligence
• Neural Networks
• +3 more

Daolang Huang is a Doctoral Researcher and Student in the Department of Computer Science at the School of Science, affiliated with Professor Samuel Kaski's group. He holds a Bachelor's degree in Engineering and Technology from Jinan University (2020). His research focuses on advanced machine learning techniques, including Bayesian inference, robust statistical modeling, and simulation-based methods. Key areas include experimental design optimization, neural processes, and equivariance in deep learning. Recent work emphasizes decision-aware algorithms and cost-effective simulation frameworks. Huang has collaborated internationally, with publications in top venues like NeurIPS. Despite no listed awards, his work demonstrates significant contributions to probabilistic modeling and optimization. Education : Bachelor's degree in Engineering and Technology, Jinan University (2020) Research Interests : Bayesian methods and amortized inference Robust statistics under model misspecification Continuous control and neural process architectures Optimization algorithms with decision-theoretic foundations Recent Research Trends : His articles (2020–2025) emphasize Bayesian experimental design, preference-based optimization, and equivariant neural networks. Themes include balancing statistical rigor with computational efficiency, particularly in high-dimensional decision-making contexts. Labs/Teams : Active member of Samuel Kaski’s research group, focusing on interdisciplinary applications of machine learning.