جست‌وجوی استاد و پژوهشگر

Heini Kujalaمشاهده پروفایل

استاد پژوهشی

• Ecology
• Evolutionary biology
• Climate change
• +۷ مورد دیگر

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.

• Structural Engineering
• Timber and Steel Structures
• Fire Safety Engineering
• +۵ مورد دیگر

Professor Sami Pajunen is affiliated with the Department of Civil Engineering at Tampere University, within the Faculty of Built Environment. His research focuses on structural engineering, timber and steel composites, fire safety, computational modeling, and sustainable construction practices. He has contributed significantly to the analysis of timber structures, impact sound insulation, and fire resistance of materials like cross-laminated timber (CLT). His work bridges experimental methods with advanced numerical simulations, addressing challenges in structural acoustics, nonlinear behavior, and eco-friendly construction systems. Key research interests include: structural integrity of glued laminated timber (glulam), optimization of steel-timber composite systems, fire performance of CLT panels, and vibration analysis of timber floors. He has explored innovative solutions such as the HB structural timber system and design-for-disassembly principles. His studies often involve collaboration with Finnish industry on case studies related to industrial wood construction productivity and bridge engineering practices. Publications emphasize parametric studies on structural components under fire conditions, mechanical testing of composite beams, and the application of finite element methods (FEM) for acoustic and thermal modeling. His work highlights the integration of computational tools with experimental validation to advance sustainable construction technologies.

Jose Costa Requenaمشاهده پروفایل

پژوهشگر

• 5G Mobile Communication
• Network Slicing
• Internet of Things
• +۵ مورد دیگر

Jose Costa Requena is a Researcher and Research Manager at Aalto University, serving as a Staff Scientist in the Department of Information and Communications Engineering within the School of Electrical Engineering. His work centers on advanced networking infrastructure for next-generation wireless systems. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2007) Licentiate degree in Engineering and Technology, Helsinki University of Technology (2004) Research Interests: Dr. Costa Requena specializes in 5G/6G mobile communication, network slicing, and IoT systems. His research bridges theoretical networking concepts with industrial applications, focusing on low-latency solutions, deterministic networking for robotics, and scalable data generation frameworks for distributed sensor networks. He actively develops experimental testbeds for validating novel communication architectures. Recent Publication Trends: His 2024-2025 publications reveal a concentrated effort on practical 5G/6G implementation challenges, including QUIC-based name resolution, time-sensitive networking for industrial automation, and Sub-THz backhauling solutions. These works consistently address reliability, latency, and scalability constraints in mission-critical applications. Scientific Awards: No specific awards are documented in the available information. Advising and Grants: He has supervised at least one thesis. As principal investigator, he leads major EU and nationally funded projects including FUWIRI 2+ (2025-2027), 6G-EXP (2023-2024), and ZERO-SWARM (2022-2024), focusing on wireless infrastructure innovation and 6G test network development. Labs and Teams: Costa Requena operates within Aalto's Networked Systems research group and maintains strategic collaboration with VTT Technical Research Centre of Finland, contributing to Finland's national 5G/6G test network initiatives in Otaniemi.

Alexis Dowhuszkoمشاهده پروفایل

پژوهشگر

• Visible Light Communication
• Wireless Communications
• 6G Networks
• +۶ مورد دیگر

Alexis Dowhuszko is a Researcher in the Department of Information and Communications Engineering at Aalto University, Espoo, Finland. Current research focuses on 6G networks, optical wireless communications, and mobile network optimization through active participation in EU-funded projects including FOCAL (as Principal Investigator), 6G-LEADER, 6GARROW, Cloudify-6G, and WALLPAPER. Educational background: Doctor of Engineering Sciences, Argentine university, 2010 Research expertise spans Visible Light Communication, 6G Networks, and Internet of Things, addressing critical challenges in Quality of Service, Integrated Access and Backhaul, and mmWave communications for urban environments. Work contributes to UN Sustainable Development Goals through sustainable wireless technology development. 2025 publications reveal strong trends in optical wireless integration for backhauling, AI-driven network optimization, and QoE-centric resource management. Key themes include IAB relaying strategies, experimental VLC implementations, and performance evaluation in dense urban deployments across next-generation mobile networks. Dowhuszko has supervised 4 theses and leads multiple research initiatives: FOCAL: Free-space Optical Communications for 6G Aerial-satellite networks (2024-2028) 6G-LEADER: LEArning-Driven and Evolved Radio for 6G Communication Systems (2025-2027) 6GARROW: 6G Ai-native integRated Ran-cOre netWorks (2025-2027) Cloudify-6G: 6G Data-driven Distributed Cloud and Communication System (2023-2026) WALLPAPER: Intelligent wallpaper for sustainable wireless systems (2023-2025) As a core member of the Risto Wichman Group, Dowhuszko collaborates on cutting-edge 6G research and contributes to media-featured projects including LED-based indoor navigation systems and personal radar development.

Lasse Heikkinenمشاهده پروفایل

مدرس ارشد

• Physics
• Applied Physics
• Process Tomography
• +۵ مورد دیگر

Lasse Heikkinen is a Senior Lecturer at the Department of Technical Physics, Faculty of Science, Forestry and Technology, University of Eastern Finland. His work spans applied physics, process tomography, and educational technology, with a focus on innovative teaching methods like flipped classrooms during the pandemic. Current Role: Deputy Head of Department, Senior University Lecturer Research Themes: Electrical impedance tomography for industrial processes, flipped teaching frameworks, and physics education adaptation to remote learning. Recent publications highlight his dual expertise in process tomography (gas-solid flows, pharmaceutical monitoring) and pedagogical innovation (learning analytics, flipped classrooms). He has contributed to educational manuals and toolkits for teacher training. Key Projects: Technology education infrastructure development (2015–2024), pandemic-era teaching adjustments (2022). Collaborations: Active in international process tomography conferences and multidisciplinary teams like the Ameba project.

Anton Akusokمشاهده پروفایل

مدرس

• Machine Learning
• Big Data Analytics
• Mobile Edge Computing
• +۳ مورد دیگر

Anton Akusok is a Part-time Lecturer in the Big Data Analytics Master's program at Arcada University of Applied Sciences. He holds a BSc in IT from Moscow (2011), MSc in ML and Data from Aalto University (2014), and a DSc in ML from the University of Iowa, USA (2016). His research focuses on Extreme Learning Machines (ELM), hardware acceleration for ML on mobile devices, and real-time geospatial predictions. He has developed libraries like HPELM and Scikit-ELM, and created the HaSuRiski app for acid sulfate soil prediction in Finland. Research Interests: ELM applications in environmental modeling, federated learning security, mobile edge computing, and geospatial visualization. Key projects include real-time mapping apps with iOS integration and open-source ML tools. Publications (2021-2024) highlight work on federated learning privacy, acid sulfate soil detection, signature verification, and distributed ELM algorithms.

• Federated Learning
• Distributed Intelligence
• Complex Systems
• +۳ مورد دیگر

Mickaël Bettinelli is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. He holds a PhD in Computer Science (Distributed Artificial Intelligence) from Université Grenoble Alpes and previously worked as a postdoctoral researcher at the University of Oulu's Center for Ubiquitous Computing under the EU Horizon 2020 Fractal project. Current research focuses on federated learning and distributed systems resilience Developed DonatelloPyzza, an educational Python gridworld game Active reviewer for journals/conferences including IEEE Transactions and AAMAS His research bridges federated learning, multi-agent systems, and collective intelligence, emphasizing societal impact through sustainable technological solutions and science popularization via his French YouTube channel DonatelloPyzza . Publications span topics like decentralized decision-making and bias mitigation frameworks. Scientific Awards Prix 'Coup de coeur', Concours Conter et Rencontrer les Sciences 2024 Best Paper Award at JFSMA 2021

William Culhaneمشاهده پروفایل

پژوهشگر ارشد

• Big Data Processing
• Cloud Computing
• Distributed Systems
• +۷ مورد دیگر

William Culhane is a Post-doctoral Research Associate working with the Large-Scale Distributed Systems (LSDS) research group at Imperial College London under Dr. Peter Pietzuch. His research focuses on big data processing in cloud computing environments, with expertise spanning distributed systems architecture, network-aware algorithms, and practical implementation of theoretical models. His academic credentials include: PhD in Computer Science from Purdue University (2015), Thesis: "Optimal 'Big Data' Aggregation Systems – From Theory to Practical Application" Masters in Computer Science from Purdue University (2011) BS in Computer Science and Engineering with Music minor from Ohio State University (2008), Cum Laude with Distinction Culhane's research program bridges theoretical computer science with practical systems implementation. His early work established mathematical models for optimal aggregation overlays, demonstrating how specific properties of aggregation functions guide theoretically optimal overlay construction. This evolved into practical systems like LOOM that implement these models for real-world big data processing. His current research on Meta-Dataflows (MDF) enables users to specify solution spaces of data analysis approaches and automatically discover optimal outcomes without code changes. The SquirrelJoin project addresses network skew in distributed joins by dynamically rerouting traffic to underutilized network segments. His publication record shows consistent progression from theoretical foundations (INFOCOM'15, SIGCOMM'14) to applied systems (VLDB 2017, Middleware'14) with practical impact. His professional trajectory includes significant industry exposure through a Google Techstop internship and research at Qatar University, where he explored anonymized database relations for third-party cloud processing. These experiences informed his approach to balancing theoretical purity with practical constraints in distributed systems design. Culhane has developed numerous open-source tools for the research community including LaTeX macros for consistent document formatting, Linux deployment scripts for distributed system management, and JavaScript interactive graphing utilities. These practical contributions demonstrate his commitment to improving research infrastructure beyond his primary publications.

• Microbial Physiology
• Systems Biology
• Machine Learning
• +۳ مورد دیگر

Chunhao Gu is a Doctoral Researcher at Aalto University's Department of Bioproducts and Biosystems. His work intersects Microbial Physiology , Systems Biology , and Machine Learning , focusing on bacterial metabolism under antibiotic stress and computational approaches to biological systems. The 2021 article highlights his integration of metabolic network modeling and machine learning to study bacterial stress responses, while the 2012 work demonstrates expertise in distributed computing for image retrieval systems using Hadoop and Lucene. His research spans interdisciplinary domains, combining bioinformatics with computational methods to address both biological and data-intensive challenges.

• DFT (Density Functional Theory)
• SPM (Scanning Probe Microscopy)
• Surface Science
• +۶ مورد دیگر

Ondrej Krejci is a researcher in the Department of Applied Physics at Aalto University, specializing in computational and theoretical approaches to surface science, scanning probe microscopy, and materials discovery. His work bridges advanced simulation techniques with experimental validation. Research interests include: Density Functional Theory (DFT) Scanning Probe Microscopy (SPM) simulations Molecular adsorption on surfaces X-ray spectroscopy simulations Condensed matter physics Atomic and molecular physics Recent publications highlight trends in machine learning for catalyst discovery, probe-particle model innovations, and on-surface synthesis of novel carbon allotropes and frameworks. Collaborative work spans computational modeling, experimental validation, and instrumentation development.

Raine Viitalaمشاهده پروفایل

استادیار

• Mechanical Engineering
• Electromagnetic Analysis
• Vibration Analysis
• +۲ مورد دیگر

Raine Viitala is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering. His research focuses on mechanical vibration analysis, electromagnetic influence in rotating systems, and sustainable energy management in industrial applications. Aalto University Department of Energy and Mechanical Engineering His work spans mechanical engineering , fluid dynamics , and machine learning applications . Recent publications address torsional vibration modeling, aerostatic bearing design, and AI integration in pulp & paper industry energy systems. Viitala's research trends include digital twin technology for collaborative design, eddy current sensing for tool monitoring, and nonlinear damping solutions for mechanical systems.

Virpi Rotoمشاهده پروفایل

مدرس ارشد

• Experience Design
• Human-Computer Interaction
• B2B Design
• +۹ مورد دیگر

Virpi Roto is a Senior Lecturer at Aalto University's Department of Design (School of Arts, Design and Architecture). She specializes in Experience Design for business-to-business industries, focusing on transforming technology companies into experience providers through co-design and service design methodologies. Key research domains: Human-AI interaction, sustainable futures, and workplace experience design Collaboration hubs: Leads the Encore research group Global influence: Top-cited academic in UX research Her work explores the intersections between User Experience , Customer Experience , and Employee Experience , with a particular emphasis on automation maturity and sociomaterial approaches to transparency in remote teams. Recent publications highlight trends in Human-AI team dynamics and experience-driven industrial systems . She actively bridges Design Fiction with ethical awareness in co-design workshops and develops frameworks for measuring long-term UX. Virpi collaborates with researchers across Finland, Sweden, and international institutions, frequently co-authoring with experts like Philippe Palanque, Matthias Baldauf, and Wendy Ju.

• Atmospheric Science
• Aerosol Physics
• Environmental Chemistry
• +۳ مورد دیگر

Katrianne Lehtipalo is a Professor at the University of Helsinki, affiliated with the Institute for Atmospheric and Earth System Research (INAR) within the Faculty of Science. Her research focuses on atmospheric aerosol formation, new particle formation mechanisms, and their implications for climate and air quality. She holds a docent (Adjunct Professor) position at the Department of Physics and has contributed to major projects like the CERN CLOUD experiment and the EU-funded RI-URBANS initiative. Her work spans experimental, field, and computational studies, addressing topics such as aerosol chemistry, pollution dynamics, and the impacts of atmospheric particles on climate. Key research areas include the formation and growth of atmospheric nanoparticles, the role of organic vapors and ions in nucleation, and the effects of anthropogenic and biogenic emissions. Lehtipalo has led projects on aerosol measurement techniques and contributed to understanding particle behavior in diverse environments, from boreal forests to urban centers. She has been recognized with awards like the Väisälä Award (2022) and World Cultural Council Special Recognition (2023), highlighting her scientific contributions. Her professional activities include peer review for journals like Nature Geoscience and Environmental Science & Technology Letters , organizing conferences, and supervising doctoral research. Collaborations span global institutions, and her work has advanced the integration of field observations, laboratory experiments, and modeling in atmospheric science.

• Video Coding
• Machine Learning in Video Compression
• Energy-Efficient Encoding
• +۳ مورد دیگر

Alexandre Mercat is an Assistant Professor in the Department of Computer Engineering at Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on video coding, energy-efficient encoding, and real-time multimedia systems. He leads projects on open-source video encoders and standards, including contributions to HEVC, VVC, and V-PCC technologies. His work emphasizes machine learning integration, low-power hardware optimizations, and scalable distributed encoding frameworks. Key technical interests include improving video compression efficiency through algorithmic innovations, developing open-source tools like the UVG dataset and Kvazaar encoder, and addressing challenges in volumetric video communication and 3D point cloud encoding. His research spans theoretical algorithm design to practical implementations, with applications in virtual reality, live streaming, and edge computing. Recent projects include real-time saliency-guided video coding frameworks, energy reduction techniques for HDR streaming, and multi-layer VVC coding schemes for hybrid machine-human consumption. He also explores FPGA acceleration and parallelization strategies for distributed video encoding systems. No scientific awards are explicitly mentioned in the provided texts. While no formal advisees are listed, his research group likely involves students through open-source development and collaborative projects. His work integrates closely with industry standards bodies and open-source communities, emphasizing reproducible evaluation frameworks and end-to-end software tools.

• Quantum Photonics
• Structured Light
• High-Dimensional Quantum Information
• +۵ مورد دیگر

Robert Fickler is an Associate Professor at Tampere University's Faculty of Engineering and Natural Sciences , leading the Experimental Quantum Optics Group in the Photonics department. His work focuses on quantum photonics, high-dimensional quantum information, and structured light interactions with matter. He holds a PhD from the University of Vienna (2014) and has held postdoctoral positions at institutions like the University of Ottawa and IQOQI Vienna. Fickler is an ERC Starting Grant recipient (2021) and leads the BIQOS project on integrated operations for structured photons. Education: PhD in Physics, University of Vienna (2014) Master’s in Physics, Ulm University (2009) Bachelor’s in Philosophy, Ulm University (2008) Research interests include quantum plasmonics , nonlinear optics , and atom physics . His lab explores structured photons for quantum communication and high-dimensional systems, with breakthroughs like the quantum Gouy phase observation and twisted photon entanglement. Over 55 publications appear in top journals like Science , Nature Photonics , and Physical Review Letters . Awards include the Young Scientist Award from IUPAP (2015) and Springer Thesis Award (2015). His grants include the Academy Research Fellowship (2019) and Banting Postdoctoral Fellowship (2016). Advising focuses on experimental quantum optics, with a lab emphasizing spatiospectral vector beams and multi-plane light conversion . Collaborations span international teams in quantum communication and nonlinear optics.