Large-Scale Data Processing Professors and Supervisors in Finland | ApplySharif

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Olav TirkkonenView profile

Professor

Aalto UniversityFinland

Olav Tirkkonen serves as a Full Professor in the Department of Communications and Networking at Aalto University, Finland, a position he has held since August 2006. He leads the Communication Theory research group, driving innovation in wireless communication systems. His academic journey includes a distinguished career spanning industry and academia, with significant contributions to 3G, 4G, and 5G technologies. His educational qualifications are: Doctor of Science (Ph.D.) in Theoretical Physics, Helsinki University of Technology, 1994 Master of Science (M.Sc.) in Theoretical Physics, Helsinki University of Technology, 1990 Professor Tirkkonen's research interests are centered on wireless communications, with a focus on physical layer processing, coding theory, and quantum information processing. His group explores advanced topics including 5G and beyond wireless networks (spectrum management, large-scale MIMO, ultra-reliable low-latency communication), network-level interference coordination, collaborative caching, machine learning applications for wireless channel geography, coding on manifolds, and quantum communication systems. This research bridges fundamental theory with practical implementation in next-generation wireless networks. Analysis of his recent publications (2024-2025) indicates a predominant focus on machine learning techniques for wireless channel modeling (channel charting), pilot allocation in MIMO systems, and quantum error correction. His work is instrumental in addressing key challenges in 5G/6G networks, particularly in scenarios demanding ultra-reliability, low latency, and efficient resource utilization. His scientific contributions include: Co-inventor of approximately 80 families of patents and patent applications Co-author of the book "Multiantenna transceiver techniques for 3G and beyond" Throughout his career, Professor Tirkkonen has mentored numerous graduate students and secured substantial research funding from various sources. His industry experience at Nokia Research Center (1999-2010) and visiting position at Cornell University (2016-2017) have enriched his research perspective and fostered strong industry-academia collaborations. The Communication Theory group, under his leadership, maintains active collaborations with leading institutions and companies worldwide, positioning Aalto University at the forefront of wireless communications research.

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Timo VesalaView profile

Professor

University of HelsinkiFinland

Timo Vesala is Professor of Meteorology and Academy Professor at the University of Helsinki’s Faculty of Agriculture and Forestry, Institute for Atmospheric and Earth System Research (INAR). He is also affiliated with the Viikki Plant Science Centre (ViPS) and serves as a supervisor in the Doctoral Programme in Atmospheric Sciences. Research Interests: Micrometeorology and biogeochemical cycles Ecosystem–atmosphere exchanges of greenhouse gases Eddy-covariance methodology and flux networks Boreal lakes, wetlands, and forests as components of the climate system Development of long-term observational infrastructures such as ICOS-Finland Recent research output (2023–2025) is dominated by high-impact articles in Advances in Atmospheric Sciences , Biogeosciences , Agricultural and Forest Meteorology , and Geophysical Research Letters , reflecting a balanced portfolio of process understanding, methodological advances, and large-scale synthesis studies. Scientific Awards: Academy Professor (Akatemiaprofessori) – awarded by the Academy of Finland Doctoral Advising & Grants: Supervised or co-supervised doctoral theses of Sheila Wachiye, E. Lopez-Blanco, and X. Li Principal Investigator on Academy of Finland project “The Hidden Role of Gases in Trees” (2021–2025) Project leader for “Kasvihuonekaasujen maa-ilmakehävaihto järvi- ja suoekosysteemeille” (2024–2026) Co-leader of the art-science initiative “Periferia – Metsätaiteeellinen asema” (2021–2031) Participant in EU flagship EMME-CARE (2017–2026) Labs & Teams: Timo Vesala heads the Micrometeorology Group at INAR and leads the Finnish ICOS (Integrated Carbon Observation System) network node. His team operates multiple eddy-covariance towers across boreal lakes, wetlands, and forests, integrating field observations with modeling and remote-sensing data.

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Petteri NurmiView profile

Professor

University of HelsinkiFinland

Petteri Nurmi is a Professor of Computer Science at the University of Helsinki, affiliated with the Department of Computer Science and the Helsinki Institute of Sustainability Science (HELSUS). His research focuses on IoT systems, environmental monitoring, AI-driven solutions, and sustainable computing. He leads projects such as the NordForsk-funded initiative (2024-2028) and the Team Finland Knowledge programme (2024-2026), emphasizing large-scale IoT deployments and quantum computing integration. Key research interests include drone-based air quality monitoring, low-cost sensor networks, and AI applications in environmental science. Nurmi has published extensively in top venues like IEEE IoT Journal and ACM workshops. His work bridges technical innovation with societal challenges, such as urban pollution reduction and sustainable resource management. He supervises doctoral students in the Computer Science program and collaborates internationally on projects like underwater plastic detection (SEAGULL) and smart city infrastructure. Nurmi’s contributions to edge computing and pervasive sensing have been recognized through grants totaling over €2M. His lab develops tools for data-intensive systems, including thermal imaging for energy efficiency analysis and AI-driven sensor fusion frameworks.

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Shahriar AfkhamiView profile

Researcher

Lappeenranta-Lahti University of Technology LUTFinland

Shahriar Afkhami is a Researcher in the Department of Mechanical Engineering at LUT School of Energy Systems, LUT University. His research focuses on advanced materials science, additive manufacturing processes, and mechanical properties of high-strength steels and dissimilar joints. He specializes in fatigue analysis, welding technologies, and the optimization of structural components for industrial applications. His work integrates experimental methods with computational modeling to address challenges in material behavior under extreme conditions. Key research areas include: Welding of ultra-high strength steels and dissimilar materials Mechanical performance of additively manufactured components Fatigue life assessment of welded joints and cut edges Thermomechanical behavior of heat-affected zones Material characterization of laser powder bed fusion (LPBF) steels Publications highlight trends in additive manufacturing for industrial applications, particularly in optimizing 3D-printed metal structures and analyzing their mechanical integrity. His work on notch-load interactions and fatigue strength has advanced methodologies for predicting component failure under complex loading conditions. Notable contributions include the VERKOTA project exploring 3D printing networks for enhanced industrial adoption. No scientific awards are listed in the provided information. Afkhami's research has been supported by collaborative projects such as the VERKOTA initiative, though specific grants are not detailed here. He maintains an active presence on professional networks including LinkedIn and Google Scholar.

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Pia FrickerView profile

Associate Professor

Aalto UniversityFinland

Prof. Pia Fricker is an Associate Professor and Vice Head of the Department of Architecture at Aalto University's School of Arts, Design and Architecture in Finland. She holds the Professorship of Computational Methodologies in Landscape Architecture and Urbanism, directing the Urban Studies and Planning Programme. Her research integrates urban design, landscape architecture, and digital design culture, focusing on data-driven methods, immersive environments, and adaptive urban development. Collaborations include ETH Zurich, Singapore University of Technology and Design, and Hafencity University Hamburg. Key projects include the Metaversity and Future Smart Cities initiatives. Fricker has led over 80 publications and exhibitions globally, including at the Venice Biennale and National Design Centre Singapore. She is an editorial board member for the Journal of Digital Landscape Architecture and peer reviewer for multiple journals. Awards include the Digital Landscape Architecture Award (2018) and DLA Scientific Merit Award (2021). Her teaching emphasizes computational pedagogy and digital innovation in design education. Education: PhD in Architecture (ETH Zurich, 2021) Postgraduate in Didactics (ETH Zurich, 2011) MAS in Computer Aided Architectural Design (ETH Zurich, 2003) MSc Arch in Urban Design & Landscape Architecture (Technical University of Karlsruhe, 2001) Research Interests: Computational design, parametric modeling, mixed reality, climate-adaptive ecosystems, generative AI, and sustainable urban development. Her work bridges emerging technologies with ecological and urban challenges, emphasizing interdisciplinary collaboration. Grants & Projects: Metaversity (2023–2025, Principal Investigator) Future Smart Cities Sasakawa (2023–2024, Principal Investigator) ABRA (2020–2023, Project Member) Awards: DLA Awards (2018, 2021) DLA Review Committee Awards (2020–2022) Exhibition Recognitions (Venice Biennale, National Design Centre Singapore) Labs/Teams: Leads the Urban Studies and Planning Programme and collaborates with interdisciplinary teams on projects like the RAILCORRIDOR Singapore initiative. Active in digital twin development and AI-driven design tools.

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Mia LiljeströmView profile

Researcher

Aalto UniversityFinland

Mia Liljeström is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering, Aalto University. She holds a Doctoral Degree in Engineering and Technology from Aalto University (2010) and a Master's Degree in Engineering and Technology from Helsinki University of Technology (2002). Doctoral Degree: Aalto University, 2010 Master's Degree: Helsinki University of Technology, 2002 Her research focuses on Magnetoencephalography (MEG) , Functional Connectivity , and Brain Networks . She explores Transcranial Magnetic Stimulation (TMS) , Functional MRI , and Neural Networks to map language-critical brain areas and study cortical dynamics. Recent work includes automated speech artefact removal from MEG data and test-retest reliability of brain connectivity metrics. Mia actively participates in conferences like MEG Nord and has presented invited talks on language processing and large-scale brain networks. Her publications emphasize MEG-informed TMS, cortical beta modulation, and brain stimulation precision. She contributes to the UN Sustainable Development Goal of Quality Education through neuroimaging research.

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Anton BergView profile

Research Fellow

University of HelsinkiFinland

Anton Berg is a Postdoctoral Researcher at the University of Helsinki, affiliated with the Department of Digital Humanities within the Faculty of Arts and the Helsinki Institute for Social Sciences and Humanities (HSSH). He is also a member of the methodological unit at HSSH, focusing on interdisciplinary research at the intersection of cognitive science, religious studies, and artificial intelligence. His educational background spans computer science, cognitive science, and religious studies, enabling him to bridge technical and humanistic approaches to AI. His research primarily investigates how commercial image recognition systems interpret and categorize religious content, exploring issues of bias, representation, and the datafication of religion. Berg's research interests include computer vision systems, automatic image recognition, machine and deep learning, large language models, and the relationship between religions, worldviews, and values related to AI technologies. He particularly focuses on inequality issues, the datafication of religion, the datafication of societies, the social scientific study of religion, and the cognitive science of religion. His work combines technical analysis of AI systems with social scientific perspectives on religion and technology. His recent publications demonstrate a strong focus on examining biases in commercial image recognition services, particularly regarding religious content, with significant contributions to understanding representational silence and racial biases in these systems. He has also conducted important work on pandemic psychology, contributing to large-scale international studies on COVID-19 responses across 69 countries. Berg has been actively involved in numerous academic activities, including presentations at international conferences on topics such as computer vision in religious studies, mediatized religious populism, and biases in image recognition services. His research has been presented at venues including the International Association for the Cognitive Science of Religion. His teaching areas include religious studies, cognitive science, data science, and religion and technologies, reflecting his interdisciplinary approach to understanding the relationship between digital technologies and religious phenomena.

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Vishnu UnnikrishnanView profile

Assistant Professor

Tampere UniversityFinland

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.

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Aleksi LehikoinenView profile

Associate Professor

University of HelsinkiFinland

Aleksi Lehikoinen is an Associate Professor at the University of Helsinki's Faculty of Biological and Environmental Sciences, holding a docentship and serving as Supervisor in the Doctoral Programme in Sustainable Use of Renewable Natural Resources and the Doctoral Programme in Wildlife Biology. He works in the Zoology Unit as Chief Superintendent and is based at the Biocenter 3 in Viikinkaari, Helsinki. His research focuses on ornithology, climate change impacts on biodiversity, and conservation biology, with extensive field work in Finnish ecosystems. Lehikoinen's research interests center on bird population monitoring, climate change effects on avian communities, and biodiversity conservation. His work examines how climate warming influences species distributions, community composition, and ecosystem functioning, particularly in boreal regions. He investigates the effectiveness of protected areas in mitigating climate change impacts and studies human-wildlife interactions through citizen science initiatives. His research combines long-term monitoring data with advanced statistical approaches to understand ecological patterns and processes. His recent publications (2024-2025) demonstrate a strong focus on climate change ecology, with particular attention to how warming temperatures affect bird communities in boreal regions. The research spans multiple scales from individual species responses to community-level changes, examining thermal niches, distribution shifts, and biodiversity-stability relationships. His work increasingly incorporates interdisciplinary approaches, connecting ecological monitoring with human dimensions of conservation through studies of citizen science and public engagement in bird monitoring. BirdLife Suomen kultainen ansiomerkki (2024) Environmental award of Sophie von Julins society to Hanko Bird Observatory (2010) Helsingin Seudun Lintutieteellisen yhdistyksen Tringan BirdLife -ansiomerkki (2011) Influencer of the year in the Finnish Museum of Natural History (2011) Newcomer of the year 2010 in the Museum of the Natural History (2010) Lehikoinen actively supervises doctoral students in sustainable resource use and wildlife biology programs. He leads multiple significant research projects including 'Lajien kumulatiiviset ja vuorovaikutteiset vasteet ilmastonmuutokseen' (2024-2028) funded by the Academy of Finland, 'HABITRACK RIA' (2024-2027) with the European Commission, and 'Digitaalinen kansalaistiedekeskus Erkko' (2024-2028) funded by the Jane and Aatos Erkko Foundation. His work combines scientific research with practical conservation applications. Lehikoinen is deeply involved in large-scale biodiversity monitoring initiatives, particularly bird population monitoring programs in Finland. He collaborates with the Finnish Museum of Natural History and participates in citizen science projects that engage the public in data collection. His work with the 'Lintuatlas' (Bird Atlas) project represents a significant contribution to understanding bird distribution changes across Finland, combining professional scientific monitoring with volunteer observations.

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William CulhaneView profile

Research Fellow

Aalto UniversityFinland

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.

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Emilia PalonenView profile

Associate Professor

University of HelsinkiFinland

Emilia Palonen is an Associate Professor in Political Science at the University of Helsinki, Faculty of Social Sciences. She currently serves as Datafication Research Director at the Helsinki Institute for Social Sciences and Humanities (HSSH) and leads the Helsinki Hub on Emotions, Populism and Polarisation (HEPP) research group. Her academic career spans over 15 years with expertise in interpretive and discoursive approaches to comparative political analysis. Her research focuses on: Populism and democratic governance Political polarization and communication European identity through cultural policy Hungarian and Finnish comparative politics Urban memoryscapes and symbolic politics Radicalization and de-radicalization processes Palonen's recent scholarly work analyzes political developments in Finland, particularly regarding right-wing populism, European Parliament elections, and the impact of social media on political communication. Her research employs discourse theoretical methods and examines political phenomena through both historical and contemporary lenses. She has led multiple large-scale research projects including Whirl of Knowledge (WhiKnow) and Now-Time, Us-Space, which investigate knowledge production and community-building in hybrid media systems across Europe. Her scientific recognition includes being among the top 12 designs out of 1400 in the 'A new symbol for Europe' design competition (2010) and receiving the Dosentti (Adjunct Professor) title in Political Science with specialization in Cultural Policy Research (2016). Palonen actively contributes to academic leadership as Executive Committee member of the International Political Science Association (IPSA), former Chair of the Finnish Political Science Association (2018-2022), and board member of the Finnish Federation of Learned Societies. She has supervised seven PhD theses and currently mentors several doctoral students working on topics including academic capitalism, celebrity politics, and populism in Central and Eastern Europe. Her research team HEPP includes a dozen active researchers, and she has organized multiple international conferences on emotions, populism, and polarization. She is also a recognized media figure who provides expert commentary on political developments in Finland and Europe.

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Pedro NardelliView profile

Professor

Lappeenranta-Lahti University of Technology LUTFinland

Pedro Nardelli is a Full Professor (tenured) of IoT in Energy Systems at the LUT School of Energy Systems, Lappeenranta University of Technology (Finland). He holds a double doctoral degree in electrical engineering from the University of Campinas (Brazil) and communications engineering from the University of Oulu (Finland). As a Docent in Information Processing and Communications Strategies for Energy Systems, he leads research in cyber-physical systems, smart grids, and 6G-enabled energy networks. Research Interests : His work focuses on integrating IoT, AI, and communication technologies into energy systems. Key areas include cyber-physical systems, UAV-enabled networks, sustainable energy management, and cybersecurity in critical infrastructure. He emphasizes interdisciplinary approaches to address challenges in the green-digital transition. Projects & Leadership : He is Principal Investigator for projects such as 'Energy-Conscious Operation: Network Efficiency for Wireless Sustainability' (2024–2026) and coordinates the Finnish-Brazilian AI and 5G training program. Past roles include leadership in the 'Hydrogen and Carbon Value Chains in Green Electrification' initiative (2021–2024). Publications : Recent work explores topics like hybrid optimal power flow models, UAV-IRS NOMA systems, and energy-centric analysis. His research bridges theoretical frameworks with practical applications, emphasizing sustainability and resilience in energy networks. Labs & Teams : Leads the IoT Solutions group within LUT's MORE SIM research platform, focusing on simulation-driven innovation for energy systems.

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Armin WehrfritzView profile

Assistant Professor

University of TurkuFinland

Armin Wehrfritz is an Assistant Professor in the Department of Mechanical Engineering at the University of Turku. His research focuses on high-fidelity numerical simulations of multiphase and chemically reacting flows, particularly involving low-carbon fuels like hydrogen. He holds a Master's degree from the University of Kaiserslautern and a Ph.D. from Aalto University. During his doctoral studies, he was a visiting researcher at Eindhoven University of Technology, and later worked as a Research Associate at the University of New South Wales in Sydney. His expertise spans computational fluid dynamics (CFD), turbulence modeling, combustion physics, and high-performance computing (HPC), with a growing interest in machine learning applications for numerical methods. Education: Doctoral Degree: Aalto University, Finland Master's Degree: University of Kaiserslautern, Germany Research interests include: Direct numerical simulation (DNS) and large-eddy simulation (LES) of combustion processes Hydrogen integration in compression-ignition engines Development of advanced micro-mixing models for transported PDF methods Data-driven approaches for optimizing combustion systems His recent work emphasizes reducing carbon emissions through hydrogen-diesel dual-fuel systems and improving simulation accuracy for engine-relevant conditions. Collaborations have involved institutions in the Netherlands, Australia, and the U.S., focusing on topics like plasma-ignited hydrogen jets and NOx reduction mechanisms.

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Alessandro FogliView profile

Researcher

Aalto UniversityFinland

Alessandro Fogli is a PhD Student at Imperial College London in the Department of Computing, affiliated with the Large-Scale Data & Systems (LSDS) Group . His research focuses on systems support for data analytics in cloud environments, including distributed systems, resource management, and query processing. Education PhD in Computer Science, 2019–Present, Imperial College London MSc in Computer Science, 2015–2017, Roma Tre University BSc in Computer Science, 2012–2015, Roma Tre University His research spans Distributed Systems , Databases , Data Analytics , and Modern Hardware . Recent work examines chiplet-based processor architectures and runtime mapping systems, with applications in performance optimization and hardware-aware query execution. Scientific Contributions Co-developed CHARM (2025), a runtime mapping system for chiplet heterogeneity Published in VLDB (2024) on OLAP processing for chiplet-based CPUs Contributed to HeatWave at Oracle Labs, improving query offloading to in-memory accelerators

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Simone RubinacciView profile

Researcher

University of HelsinkiFinland

Simone Rubinacci is a Senior Researcher and Group leader at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, since September 2024, following postdoctoral fellowships at Harvard Medical School (2023-2024) and the University of Lausanne (2019-2022). Her academic foundation includes a DPhil in Statistics from the University of Oxford (2016-2020). Her educational trajectory: DPhil in Statistics, University of Oxford (2016-2020) Postgraduate student, Systems Biology Doctoral Training Centre, University of Oxford (2015-2016) MSc in Computer Science, University of Milano-Bicocca (2012-2015) BSc in Computer Science, University of Milano-Bicocca (2009-2012) Rubinacci pioneers statistical methods for large-scale genomic datasets, specializing in haplotype analysis and structural variation in human genomes. Her work extracts insights from noisy data like low-coverage sequencing and SNP arrays, directly addressing population structure and disease genetics. She bridges computational statistics with biomedical applications to decode genetic diversity and disease mechanisms. Her 2024-2025 publications reveal intense focus on genomic data infrastructure: haplotype reference panels, imputation techniques, and polygenic risk scoring. Key innovations include SURFBAT for family-based association testing, UK Biobank imputation frameworks, and ancient DNA damage mitigation—collectively advancing precision genomics through computational rigor. Major recognitions: Epstein Award Finalist, ASHG 2024 Epstein Award Semifinalist, ASHG 2020 Swiss National Science Foundation Postdoc.Mobility fellowship EPSRC PhD salary award She has taught statistics and computer science at Oxford, Lausanne, and Milano-Bicocca. Current funding includes UK Biobank credits for haplotype phasing and her FIMM-EMBL project 'Integrating identity-by-descent and phasing to unveil novel insights on disease mechanisms' (2024-2029). As FIMM-EMBL Group leader, she directs genomic methodology development within Helsinki's Faculty of Medicine and contributes to the university-wide DIVSOL-Humt profiling initiative for data-intensive societal research.

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