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Magda Posani is an Assistant Professor in the Department of Civil Engineering at Aalto University, focusing on building physics, hygrothermal behavior of materials, and environmental sustainability. Her research explores the use of bio-based insulation, thermally massive stone and earth walls, and additive manufacturing techniques to enhance indoor comfort and address climate change challenges in Nordic regions. Integrated Master's Degree in 'Building Engineering and Architecture' from the University of Bologna (Italy) Ph.D. in Civil Engineering from the National Laboratory for Civil Engineering (LNEC) and the University of Porto (FEUP, Portugal) Postdoctoral Research at ETH Zürich (Switzerland) Her research integrates vernacular solutions with modern technology, such as combining additive manufacturing with super-hygroscopic materials to develop components for passive humidity regulation. She addresses critical issues like occupant comfort, health risks from improper humidity, and climate change impacts on traditional constructions. The articles highlight her work on low-carbon materials, 3D-printed building components, and strategies for enhancing hygrothermal performance in both modern and historic structures. Key themes include moisture buffering, thermal insulation compatibility, and climate-resilient renovation.

• Building Physics
• Hygrothermal Behavior of Materials
• Environmental Sustainability
• +6 more

Ville Vuorinen is an Associate Professor at the Department of Energy and Mechanical Engineering, Aalto University. His research focuses on computational fluid dynamics (CFD) in energy technology, particularly using Large-Eddy Simulation (LES) and hybrid LES-RANS approaches with OpenFOAM. Research Interests: Combustion, Turbulence, Hydrogen, Emission Reduction, Biofuels, Marine Engine Hydrodynamics, Primary Atomization, Liquid Cooling. His team explores hydrogen-enriched flames, ammonia combustion, two-phase flows, and virus transmission modeling. Article Trends : Recent work spans hydrogen pre-ignition in engines, LES of ammonia/methanol flames, aerosol transmission in choir rehearsals, atomic layer deposition conformality, underwater noise analysis, and techno-economic waste-to-hydrogen systems. Keywords include combustion modeling, sustainable energy, and cross-disciplinary CFD applications. Scientific Awards Teknologiateollisuus ry Diesel- ja kaasumoottoritoimialaryhmän tunnustusapuraha (2010) Collaborations : Works closely with experimentalists. Advisees include Shervin Karimkashi Arani, Parsa Tamadonfar, Ossi Kaario, and others. Research impacts energy-efficient ships, marine engines, and biomedical applications.

• Computational Fluid Dynamics (CFD)
• Large Eddy Simulation (LES)
• Combustion
• +7 more

Marko Hinkkanen is a Professor at Aalto University's Department of Electrical Engineering and Automation, affiliated with the School of Electrical Engineering. His research focuses on electric drives, power electronics, and control systems, with a strong emphasis on sensorless control, grid converters, and motor drives. He has received numerous awards, including the IEEE Fellow distinction and multiple best paper awards for contributions to sensorless control and grid integration. Research interests span advanced control algorithms, power converter design, and renewable energy systems. His work addresses challenges in grid stability, motor drives under weak grid conditions, and energy-efficient control strategies. Notable achievements include innovations in bearingless motor systems and grid-forming converter control frameworks. His awards reflect impactful contributions: the Aalto ELEC Supervisor Award (2023) highlights exceptional mentorship, while the IEEE Fellow (2023) and numerous paper awards underscore technical excellence. Key publications include advancements in grid-forming control, sensorless techniques, and electromagnetic damping for aircraft systems. He has advised doctoral students such as F. M. Mahafugur Rahman and Hafiz Asad Ali Awan, whose theses won top awards. His labs and collaborations focus on cutting-edge topics like virtual air gap reactors and six-phase machine dynamics.

• Electric Drives
• Power Electronics
• Control Systems
• +4 more

Leena Järvi is a Professor at the Institute for Atmospheric and Earth System Research (INAR) and Helsinki Institute of Sustainability Science (HELSUS) , University of Helsinki. Her work bridges urban climate science , air pollution , and greenhouse gas dynamics through experimental and theoretical approaches. Research Interests : Urban micrometeorology, carbon sequestration in green spaces, climate mitigation strategies, and air quality modeling. Key Projects : CO-CARBON (Strategic Research Council), GHUGS (Research Council of Finland), and PAUL (EU Horizon 2020). Her recent publications focus on urban CO2 fluxes , carbonyl sulfide as a carbon proxy , and climate impacts of urban vegetation . She has supervised 12 PhD students, 7 postdocs, and 17 undergraduates, while serving on editorial boards and organizing international workshops. Scientific Awards : Timothy Oke Award 2021 (IAUC). Teaching : Courses on Urban Climate and Atmospheric Sciences .

• Urban Climate
• Air Pollution
• Greenhouse Gases
• +7 more

Professor Petri Kuosmanen is affiliated with Aalto University as a faculty member of the School of Engineering and holds a position in the Department of Energy and Mechanical Engineering and the Mechatronics unit. Doctoral Degree in Engineering and Technology, Helsinki University of Technology (2004) Licentiate Degree in Engineering and Technology, Helsinki University of Technology (1992) Master's Degree in Engineering and Technology, Helsinki University of Technology (1988) His research focuses on Industrial Internet and Rotor Dynamics , with significant contributions to elevator systems , hydraulics , and wastewater treatment plant design . Recent work includes optimizing natural frequencies in rotor systems and developing digital twins for engineering education . Key trends in his 2024 publications include: Rotor dynamics and vibration analysis Smart data validation in industrial IoT networks Cold-climate adaptations for wastewater treatment Automated fiber optics coating mechanisms Energy efficiency in aeration systems As Principal Investigator, he leads projects like DRIVE FORWARD (2024–2027) and GOOD (2021–2024), focusing on electrified mobile machinery. He actively collaborates with networks such as DAAAM International (Chair) and European CLUSTER-university network (Member).

• Mechatronics
• Rotor Dynamics
• Industrial Internet
• +7 more

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

• Artificial Intelligence
• Machine Learning
• Data Science
• +6 more

Senior Lecturer Outi Salo-Ahen is affiliated with Åbo Akademi University's Faculty of Natural Sciences and Engineering , Department of Pharmacy. Her research focuses on computational pharmacology, drug design, and pharmaceutical chemistry, particularly targeting chemokine receptors (CCR5/CXCR4) and transient receptor potential channels (TRPA1) for therapeutic applications. Doctor of Pharmacy (2006, University of Kuopio/UEF) MSc in Pharmaceutical Chemistry (2001, UEF) BSc in Pharmacy (1999, UEF) University Pedagogy Modules 1-5 (2012-2015) Her work contributes to UN Sustainable Development Goals through education and pharmaceutical innovation . Recent research trends include: Antimicrobial resistance solutions TRPA1 channel modulation Nanotechnology-enabled drug delivery Multi-target HIV-1 inhibitors 3D printing of biocompatible materials Computational analysis of nucleic acid frameworks She actively supervises doctoral projects, serves on assessment panels, and leads collaborations like Nordic Pharmaceutical Translation and Innovation. Her 60+ publications demonstrate expertise in molecular modeling and drug discovery.

• Pharmaceutical Chemistry
• Molecular Modeling
• Drug Design
• +5 more

Kari Tammi is an Associate Professor at the Department of Mechanical Engineering , Aalto University , Finland. His research focuses on the integration of data availability in mechatronics design and operational systems, emphasizing simulation models, digital twin technology, and user interface innovation. He has presented installation talks as part of Aalto University's celebrations of new tenured professors.

• Mechatronics
• Simulation Modeling
• Digital Twin Technology
• +3 more

Simo Hostikka is a Professor in the Department of Civil Engineering at Aalto University's School of Engineering. His research focuses on fire safety engineering , utilizing numerical fire simulations to address critical challenges in building and infrastructure safety. Key Expertise: Fire Dynamics Simulator (FDS) development, thermal radiation heat transfer, pyrolysis modeling, fire toxicity calculations, and probabilistic risk analysis. Leadership: Supervises advanced fire safety research and contributes to international fire safety standards. Research Trends: Recent publications emphasize fire toxicity modeling , hydrogen fire safety , radiation heat transfer , and fire retardancy of polymeric materials . His work bridges computational methods with real-world fire safety applications. Scientific Awards: Philip Thomas Medal of Excellence (2008, 2005) Sjölin Award (2012) Interflam Trophy (2007) Harmathy Award (2020, 2019) Dean’s Award for Best MSc Thesis (2020) Best Paper in Rakenteiden Mekaniikka (2009) Advising: Supervised Topi Sikanen, who received the Young Talent Award from the International Water Mist Association.

• Fire Safety Engineering
• Thermal Radiation Heat Transfer
• Solid Pyrolysis Modelling
• +5 more

Pekka Marttinen is a tenured Associate Professor of Machine Learning at Aalto University, Department of Computer Science, and leads the Machine Learning for Health (Aalto-ML4H) group within the Helsinki Institute for Information Technology HIIT. Education: M.Sc. in Applied Mathematics, University of Helsinki (2004) Ph.D. in Statistics, University of Helsinki (2008) Title of Docent in Information and Computer Science, Aalto University (2015) Research Focus: His methodological work spans large language models, reinforcement learning, deep learning, probabilistic machine learning, and causal inference . These techniques are applied to critical domains of healthcare, bioinformatics, statistical genetics, epidemiology, and personalized medicine . The group develops novel algorithms, theoretical guarantees, and open-source software that enable data-driven discovery and decision-making in medicine and biology. Publication Trends: Across 2022-2024 the lab has concentrated on (i) rigorous causal reasoning over temporal clinical data, (ii) principled uncertainty quantification in LLMs, (iii) representation learning for neural network comparison, and (iv) translational projects that turn raw EHRs into actionable clinical insights. Earlier work integrated high-dimensional genomics with metabolomics and mapped evolutionary forces in bacterial pathogens. Scientific Awards & Recognition: While no specific awards are listed, his sustained publication record in top-tier venues (NeurIPS, ICML, AISTATS, Nature Genetics, PLOS CB) and his role as responsible professor of the Machine-Learning, Data-Science and AI major signify significant peer recognition. Advising & Grants: Prof. Marttinen currently mentors 8 PhD students as primary supervisor and an additional 7 PhD students as co-supervisor. He has already graduated 8 PhDs since 2014. The group is supported through competitive funding including the Finnish Center for Artificial Intelligence (FCAI) doctoral program. Labs & Teams: He directs the Machine Learning for Health (Aalto-ML4H) research group, comprising postdocs Hans Moen, Ti John, Alexander Nikitin, Negar Safinianaini, Linli Zhang, Zhiyuan Li, and the above-mentioned PhD cohort.

• Machine Learning
• Large Language Models
• Reinforcement Learning
• +8 more

Juha Järvelä is a Staff Scientist at the Department of Built Environment , Aalto University, and a member of the Aalto Environmental Hydraulics Lab . His research focuses on environmental hydraulics, particularly on Hydraulics of environmental channels Modeling of vegetated flows Environmentally sound hydraulic engineering Järvelä's research spans fluid dynamics in river systems, with an emphasis on vegetation-flow-sediment interactions. Key areas include flow resistance in flexible and rigid vegetation, hydrodynamic modeling of floodplains, and nature-based solutions for water management. His recent publications investigate Blockage effects of woody vegetation Longitudinal dispersion in patchy vegetation Two-stage channel performance in agricultural settings Hydrodynamic characterization of natural-like plants Järvelä has received notable scientific recognition, including 2014 : Outstanding Reviewer Award from the American Geophysical Union for Water Resources Research 2005 : Doctoral Dissertation Award from the Oskari Vilamo Foundation Contact: juha.jarvela@aalto.fi | Phone: +358505626727 | Postal: Tietotie 1 E, 02150 Espoo, Finland

• Environmental Hydraulics
• Hydraulic Engineering
• Vegetated Flow Modeling
• +3 more

Jari Puttonen is a Professor of Structural Engineering at Aalto University's Department of Civil Engineering, School of Engineering. His research focuses on structural analysis, fire safety, materials science, and nuclear infrastructure safety. He has held roles as Principal Investigator in projects related to nuclear waste repository concrete modeling and aging management of NPP infrastructure. He has advised over 20 academic visitors and served in doctoral thesis committees. Education: Doctoral degree (1987), Licentiate (1984), and Master's degree (1979) in Engineering and Technology from Helsinki University of Technology (now part of Aalto University). Research Interests: Steel and composite materials behavior under extreme conditions Fire resistance of structural systems Long-term performance of concrete in nuclear facilities Non-destructive testing of construction materials Seismic resilience of critical infrastructure Awards: Recipient of the Knight, First Class of the Order of the White Rose of Finland (2020), PUUPalkinto 2010, and Schweighofer Prize 2011 for innovative energy facade research. Grants & Projects: Led 13 research projects including PERCO2_2023 (nuclear waste repository modeling) and CONAGE2022 (NPP concrete aging). Active in EU-funded initiatives and industry collaborations. Labs & Teams: Core member of Aalto's Structural Engineering Research Group, collaborating with Chalmers University and Technical University of Munich on advanced materials testing.

• Structural Engineering
• Fire Safety Engineering
• Materials Science
• +3 more

Jan Akmal is an Assistant Professor at Aalto University, holding dual affiliations in the Department of Energy and Mechanical Engineering and the Materials to Products group. His research specializes in additive manufacturing (AM), focusing on defect detection, smart materials, and 4D printing applications. He leads the AIM-Zero project (2023–2026), exploring AI-driven zero-defect AM processes. Akmal has received the Aalto Doctoral Incentive Scholarship (2023) and an Honorary Award (2023). He serves on editorial boards for Frontiers in Manufacturing Technology and Frontiers in Mechanical Engineering , and chairs the Finnish Rapid Prototyping Association (FIRPA). Key research areas include AI-based defect detection in metal AM, self-sensing components, and hybrid materials for dynamic displays. He collaborates globally on topics like optical tomography in powder bed fusion and medical AM applications. His work addresses sustainability, industrial adoption of AM, and legal frameworks for military logistics. Akmal has authored 24 publications and contributed to datasets on AM inaccuracies and defect classification, emphasizing practical applications and industry integration.

• Additive Manufacturing
• 3D Printing Technology
• Defect Detection
• +5 more

Jessica Rosenholm is a Professor at the Faculty of Science and Engineering, Department of Pharmacy at Åbo Akademi University. Her research focuses on drug delivery systems, nanomedicine, and biomaterials engineering. She holds a D.Sc.(Tech.) and has authored over 200 publications. Key research areas include mesoporous silica nanoparticles, 3D bioprinting, and antimicrobial resistance solutions. Her work contributes to UN Sustainable Development Goals, particularly in advancing health technologies. Notable achievements include the Akzo Nobel Nordic Research Prize 2009 and the Knight, First Class, of the Order of the White Rose of Finland (2022). She leads projects like the MADNESS Centre of Excellence, exploring materials-driven solutions against antimicrobial resistance. Education: Doctor of Science (Technology) Research Interests: Nanoformulations, biomedical imaging, microfluidics, and tissue engineering. Recent articles highlight innovations in programmable nanocomposites for hearing loss treatment, microfluidic assembly of nanostructures, and 3D printing of drug delivery systems. Awards: ÅAU Chancellor’s Prize (2013), Forskarpriset ur Harry Elvings legat (2009) Grants: Projects funded by EU, Finnish Research Council, and Sigrid Jusélius Foundation. Labs/Teams: BioNanoMaterials group explores cutting-edge technologies like nanomedical agents and microfluidics. Current projects include the NAP4DIVE initiative for blood-brain barrier drug delivery.

• Drug Delivery Systems
• Nanomedicine
• Biomaterials Engineering
• +6 more

Jari Holopainen is a Senior Lecturer at the Department of Electronics and Nanoengineering , Aalto University. His work focuses on advanced antenna systems, wireless communication, and RFID technologies, with significant contributions to broadband, tunable, and wearable antenna designs. Current affiliation: Aalto University Academic role: Senior Lecturer Research interests span antenna design for mobile terminals, microwave engineering, and machine learning applications in RF systems. His publications highlight innovations in: Bluetooth antennas for metallic smartwatches and jewelry Wideband and dual-polarized antenna arrays RFID transponders with beam steering Machine learning-driven load optimization 3D-printed and capacitive-coupling antenna structures Wave propagation and scattering analysis Scientific contributions include: 15+ peer-reviewed articles (2025-2020) Collaborations with leading researchers in electromagnetics (e.g., Ville Viikari, Pertti Vainikainen)

• Antenna Design
• Wireless Communication
• RFID Technology
• +3 more