جست‌وجوی استاد و پژوهشگر

Arno Solinمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Sensor Fusion
• +۸ مورد دیگر

Dr. Arno Solin is a tenured Associate Professor in Machine Learning at Aalto University's Department of Computer Science and an Academy of Finland Research Fellow . He leads the Aalto machine learning research group and serves as Director of the Finnish Doctoral Program Network in AI (AI-DOC) . His work bridges probabilistic modeling with practical applications in sensor fusion and real-time inference. ELLIS Scholar (European Laboratory for Learning and Intelligent Systems) Adjunct Professor at Tampere University Member of Young Academy Finland (2021–2025) Research Interests focus on data-efficient machine learning with probabilistic methods for real-time inference and sensor fusion. Key areas include Gaussian processes, diffusion models, stochastic differential equations, and uncertainty quantification in deep learning. His group develops methods that combine structural constraints with adaptive learning for deployment on resource-limited hardware. Publication Trends show consistent output in top venues (NeurIPS, ICML, ICLR, AISTATS) with emphasis on diffusion models , 3D scene reconstruction , and real-time probabilistic modeling . Recent works explore physics-informed learning, heterophily-aware graph models, and compressed representations for world models in reinforcement learning. Scientific Recognition : Awarded AI Researcher of the Year 2024 by AI Finland Teacher of the Year 2023 at Aalto CS ISIF Jean-Pierre Le Cadre Best Paper Award (2018) MLSP Schizophrenia Classification Challenge Winner (2014) NeurIPS/ICML Reviewer Awards Research Leadership includes coordinating Finland's AI Center of Excellence program and directing the Finnish Doctoral Program Network in AI (AI-DOC). He supervises 15+ doctoral/postdoctoral researchers and has spun off Spectacular AI , a company commercializing sensor fusion technology.

Eero Hyvönenمشاهده پروفایل

استاد

• Semantic Web
• Linked Data
• Artificial Intelligence
• +۲ مورد دیگر

Eero Hyvönen is a Professor of Computer Science at Aalto University and Director of the Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. He leads the Semantic Computing Research Group (SeCo), specializing in Semantic Web technologies and applications. Hyvönen holds an Adjunct Professor title at the University of Helsinki's Department of Computer Science. His work focuses on developing national-level semantic web infrastructure, with applications in digital humanities, cultural heritage, and AI. He has published over 500 research articles and books, receiving numerous awards including the Decoration of Knight, First Class, of the Order of the White Rose of Finland (2018). Hyvönen chairs editorial boards of journals like Semantic Web and serves on committees for major conferences. His research spans semantic web technologies, linked open data, and AI applications in cultural heritage domains. Key projects include Sampo portals (e.g., LetterSampo, OperaSampo) for cultural data analysis, ParliamentSampo for parliamentary data, and FindSampo for archaeological finds. His work emphasizes interdisciplinary collaboration, integrating law, history, and computing through initiatives like FIN-CLARIAH. Hyvönen advises doctoral and master's students, notably Annastiina Ahola and Jouni Tuominen, who have won awards under his supervision. He directs research infrastructures, chairs international boards, and actively contributes to open data policies and standards development.

Markus Heinonenمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Probabilistic Modeling
• Bayesian Inference
• +۵ مورد دیگر

Markus Heinonen is an Academy Research Fellow at Aalto University's Department of Computer Science within the School of Science. His academic position is tied to Harri Lähdesmäki's Professorship, focusing on probabilistic machine learning. He holds a Doctoral degree in Engineering and Technology from the University of Helsinki (2013). His research integrates probabilistic modeling , deep learning , and differential equations , with applications in computational biology, drug discovery, and biophysics. Key themes include Gaussian processes, Bayesian inference, generative models, and their use in understanding complex biological systems like immune cell behavior (e.g., T cell receptor analysis in aplastic anemia) and molecular design. He leads major projects such as the Deep Learning with Differential Equations initiative (2020–2025), exploring continuous-time models and physics-informed neural networks. His work bridges theory and application, evidenced by collaborations in diffusion models , optimal transport , and single-cell analysis . Publications span over 65 peer-reviewed outputs, with recent emphases on robust neural network training, multi-target molecular prediction, and interpretable drug design frameworks. His research contributes to UN Sustainable Development Goal 3 (Good Health) through advancements in disease modeling and therapeutic development. He has undertaken visiting research roles at the University of California, San Francisco (2017) and Telecom ParisTech (2013–2014). Media highlights include recognition for work on TCR-epitope prediction and AI-driven enzyme engineering.

Pauli Murtoمشاهده پروفایل

استاد

• Microeconomic theory
• Information economics
• Game theory
• +۳ مورد دیگر

Pauli Murto is a Professor and Head of the Department at Aalto University School of Business, Department of Economics. His research spans microeconomic theory, information economics, and game theory, with a focus on strategic decision-making under uncertainty. Aalto University School of Business, Espoo, Finland Member of Helsinki Graduate School of Economics Research Interests: Dr. Murto's work examines strategic timing in economic decisions, information aggregation in games, auction theory, and investment behavior under uncertainty. His publications address topics like: Common value auctions and affiliated signals Stepwise investment under multi-dimensional uncertainty Equilibrium delay and neighborly coordination Irreversible investment in oligopolistic markets Publications (2002–2024): His research appears in top journals like Review of Economic Studies , Theoretical Economics , Journal of Economic Theory , and RAND Journal of Economics , often collaborating with scholars such as Juuso Välimäki and Chang-Koo Chi. Contact: Available at pauli.murto@aalto.fi or +358 40 353 8174. Office located in Room V308, School of Business building, Aalto University.

Adeel Tariqمشاهده پروفایل

پژوهشگر

• Technology and Innovation Management
• Digital Transformation
• Sustainable Development
• +۴ مورد دیگر

Adeel Tariq is a Post-Doctoral Researcher at the Industrial Engineering and Management department of LUT School of Engineering Sciences , Lappeenranta University of Technology, Finland. He completed his Ph.D. (2019) and MBA (2014) at the School of Management , Asian Institute of Technology, Thailand. Research Focus: Technology and innovation management, digital transformation, sustainable development, knowledge management, and leadership studies. Peer Review: Active reviewer for journals including Leadership & Organization Development Journal , Journal of Intellectual Capital , and European Journal of Innovation Management . Collaborations: Regular co-author with Waqas Tariq, Muhammad Saleem Sumbal, and Marko Torkkeli on topics like digital governance, fintech, and SME sustainability.

• Digital Signal Processing
• Machine Learning
• Audio Technology
• +۸ مورد دیگر

Prof. Vesa Välimäki is an Audio Signal Processing Professor at Aalto University's School of Electrical Engineering, leading the Audio Signal Processing Research Group within the Aalto Acoustics Lab. He also serves as Vice Dean for Research and Head of the Doctoral Programme at the university. His research focuses on digital signal processing, machine learning, and their applications in audio, acoustics, and music technology, particularly in artificial reverberation, audio filter design, and virtual analog modeling. He has pioneered techniques like velvet noise for reverberation synthesis and contributed to open-source tools like FLAMO. His academic accolades include IEEE, AES, and AAIA Fellowships, along with multiple best paper awards at venues like DAFx and ICASSP. He has advised numerous students, including recipients of prestigious awards like the Huawei Master's Thesis Award. Prof. Välimäki has held editorial roles at the Journal of the Audio Engineering Society and organized major conferences such as SMC-17. His work extends to applied projects like acoustic optimization for early childhood education facilities and immersive audio in virtual reality (e.g., the 'Space Walk' project). Key Projects: NordicSMC (Nordic University Hub for Sound and Music Computing), Aalto Acoustics Lab, FLAMO library Grants: NordForsk funding (2018–2023), Foundation for Aalto University Science and Technology His research spans both theoretical advancements (e.g., diffusion models for audio restoration) and practical implementations (e.g., real-time equalizers, headphone compensation systems). He collaborates internationally, contributing to acoustic measurement techniques and noise reduction strategies for diverse environments.

Ari Jantunenمشاهده پروفایل

استاد

• Strategy and Management
• Strategic Change and Renewal
• Organizational Cognition
• +۸ مورد دیگر

Ari Jantunen is a Professor in Strategy Research at the LUT Business School, LUT University, Lappeenranta, Finland. He is affiliated with the Department of Business Studies and has been actively contributing to academic research in strategic management and organizational behavior. University: LUT University School: LUT Business School Department: Business Studies Position: Professor, Strategy Research Email: Ari.Jantunen@lut.fi He earned his D.Sc. (Econ.) from Lappeenranta University of Technology in 2005, establishing a long-standing academic career focused on strategic change and innovation. Ari Jantunen’s research centers on strategic change and renewal, organizational cognition, dynamic capabilities, dominant logic, and industry dynamics . His work explores how managerial cognition influences strategic decisions and organizational performance, particularly in industries undergoing transformation such as media, energy, and forest sectors. He also investigates sustainability strategies, the circular bioeconomy, and corporate social performance. His recent publications reflect a strong trend in using cognitive mapping, qualitative comparative analysis (fsQCA), and simulation modeling to understand strategic phenomena. Articles on dominant logic, strategic renewal, and cognitive diversity highlight his focus on the cognitive underpinnings of strategic management. Among his notable works are studies on the bioeconomy transition in the pulp and paper industry, innovation races in high-tech sectors, and the interplay between corporate social and financial performance. Jantunen has collaborated extensively with researchers such as Anni Tuppura, Satu Pätäri, Kalevi Kyläheiko, and Anssi Tarkiainen, often co-authoring studies in journals like European Management Journal , Journal of Business Research , and Futures . Ari Jantunen is actively engaged in research and supervision, though no specific students are listed in the provided sources. He does not appear to have received any explicitly mentioned scientific awards, but his consistent publication record in high-impact journals underscores his academic contributions. He has been involved in interdisciplinary research projects, particularly those examining the interface between the energy and forest sectors, the diffusion of energy services, and innovation in cleantech firms. His work often combines theoretical rigor with practical insights, contributing to both academic discourse and industry applications.

Garg Vikasمشاهده پروفایل

استادیار

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +۸ مورد دیگر

Professor Garg Vikas holds the position of Assistant Professor in the Department of Computer Science at the School of Science. His research spans quantum computing, artificial intelligence, and machine learning with applications in computational biology, healthcare, and drug design. He leads the HEALED/Garg project focused on human-steered machine learning for drug discovery and collaborates with institutions like MIT and industry partners. He co-founded YaiYai Oy, providing AI/ML solutions to global sectors. Education: PhD from MIT CSAIL under Tommi Jaakkola, with postdoctoral and industry experience at Amazon, Microsoft, and IBM. His work aligns with UN SDGs, particularly in healthcare and sustainable energy. Research interests include graph neural networks, generative models, and quantum AI. Recent projects involve climate modeling via physics-informed neural ODEs and optimizing quantum circuits using graph autoencoders. Key collaborations include MIT’s MLPDS Consortium and the Finnish Center for Artificial Intelligence. He supervises doctoral researchers like Yogesh Verma and postdocs such as Kogkalidis.

Riikka Puurunenمشاهده پروفایل

دانشیار

• Catalysis
• Atomic Layer Deposition
• Sustainable Chemistry
• +۷ مورد دیگر

Riikka Puurunen is an Associate Professor at Aalto University's Department of Chemical and Metallurgical Engineering, leading the Catalysis group since 2017. Her work focuses on developing solid heterogeneous catalysts using atomic layer deposition (ALD), microreactors, and in situ testing methods to advance sustainable biomass-based solutions.

Teemu Turunen-Saarestiمشاهده پروفایل

استاد

• Energy and Power Engineering
• Renewable Energy
• Sustainability and the Environment
• +۶ مورد دیگر

Teemu Turunen-Saaresti is a Tenured Professor at the School of Energy Systems , LUT University , Lappeenranta, Finland. His research focuses on energy technology, particularly supercritical CO2 cycles, Organic Rankine Cycles (ORC), turbomachinery, and heat pump design. PhD in Energy and Environmental Technology (2004), Lappeenranta University of Technology MSc in Energy and Environmental Technology (2001), Lappeenranta University of Technology His work spans Supercritical CO2 Power Cycles , Organic Rankine Cycle Systems , Turbomachinery Design , and Non-Equilibrium Condensation Modeling . Recent studies include printed circuit heat exchangers for transcritical cycles, high-temperature ORC thermal inertia, and centrifugal compressor design for large-scale CO2 heat pumps. Publications highlight trends in sCO2 Turbines , Tip Clearance Effects , and Multiphase Flow Simulation . Funding from the Academy of Finland and Business Finland supports his research on computational/experimental condensing flows, small-scale compressors, and green shipping energy solutions. He collaborates with international teams on projects like the International Wet Steam Modeling Project , contributing to guidelines for high-temperature heat pumps (IEA HPT Annex 58) and advancements in hydrogen compression strategies.

Gökhan Alcanمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Control Theory
• +۵ مورد دیگر

Gökhan Alcan is an Assistant Professor in Robotics and Machine Learning at the Automation Technology and Mechanical Engineering Unit of Tampere University, Finland. He leads the Advanced Learning, Control and AutomatioN (ALCAN) Research Group, focusing on safe model predictive control, constrained optimal control theory, reinforcement learning, and their applications to dynamical systems. His research addresses challenges in robotic manipulation, safe navigation, and human-robot collaboration through projects like the Aurora initiative on automated and connected machines. Education: B.Sc., M.Sc., and Ph.D. in Mechatronics Engineering from Sabanci University (2008–2019). Postdoctoral research at Sabanci University (2019) and Aalto University (2020–2024). Research Interests: Robotics, control theory, system identification, autonomous systems, and machine learning applied to robotic manipulation, autonomous vehicles, and safety-critical systems. Notable work includes trajectory optimization for hybrid systems, magnetic manipulation for medical applications, and sim-to-real gap analysis in cloth manipulation. Awards: Third Place in Aalto Open Science Award 2023, Elginkan Foundation Technology Award (2016), and multiple scholarships. Advised Ph.D. student David Blanco Mulero, who defended his thesis on robotic manipulation of deformable objects. Labs/Teams: ALCAN Research Group, former roles in Aalto University's Intelligent Robotics Group and Sabanci University's Control, Vision, and Robotics (CVR) Group.

Samuli Honkapuroمشاهده پروفایل

استاد

• Energy Markets
• Distributed Energy Resources
• Demand Side Management
• +۵ مورد دیگر

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
• +۶ مورد دیگر

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.

Pyry Kivisaariمشاهده پروفایل

پژوهشگر

• Optoelectronics
• Semiconductor Devices
• Photonics
• +۴ مورد دیگر

Pyry Kivisaari is a Postdoctoral Researcher at the Department of Neuroscience and Biomedical Engineering, Aalto University, specializing in computational modeling of optoelectronic semiconductor devices. His work bridges theoretical physics and engineering applications with significant contributions to light-emitting diode and solar cell technologies. His primary research domains include: Optoelectronics and photonics Semiconductor device physics Nanoscale optoelectronic structures Numerical simulation frameworks Light-matter interaction in resonant cavities Efficiency enhancement mechanisms Analysis of his 15 most recent publications (2019-2024) reveals a consistent focus on thin-film and nanoscale optoelectronic devices, particularly examining carrier dynamics, light emission characteristics, and efficiency limitations in LED and solar cell architectures. His work frequently employs advanced simulation techniques to investigate novel device concepts like nanotree LEDs, double diode structures, and thermophotonic systems, with strong emphasis on practical engineering solutions for performance optimization. Dr. Kivisaari maintains active collaboration with leading researchers in semiconductor physics and has published in high-impact journals including Applied Physics Letters, Physical Review Applied, and Nano Letters, demonstrating sustained scholarly productivity in optoelectronic device research.

Timo Seppäläمشاهده پروفایل

مدرس

• Supply Chain Management
• Digital Platforms
• Artificial Intelligence
• +۴ مورد دیگر

Timo Seppälä is a University Lecturer in Digital Operations at Aalto University's School of Science, Department of Industrial Engineering and Management. His research focuses on global value chains, supply chain management, and digital technology implementations in technology- and service-based businesses. He explores platformization of supply chains, collaborative innovation management for complex digital ecosystems, and the implications of artificial intelligence platforms across industries. Global Value Chains Digital Platforms & Ecosystems Artificial Intelligence Governance Blockchain Applications in Industry Recent publications highlight trends in AI diffusion monitoring, blockchain-based systems for industrial applications, and sustainability challenges in digital economies. His work spans empirical analysis of corporate digitalization, platform governance, and multi-actor value creation. No scientific awards are currently documented.