جستجوی استاد راهنمای دانشگاهی

Anton Bergمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Computer Vision
• Religious Studies
• +۷ مورد دیگر

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.

Bogdan Iancuمشاهده پروفایل

مدرس

• Artificial Intelligence
• Computer Vision
• Maritime Object Detection
• +۵ مورد دیگر

Bogdan Iancu is a University Lecturer in the Department of Information Technology at the Faculty of Science and Engineering, Åbo Akademi University. He holds a PhD and Docent qualification in Computer Science, with extensive expertise in artificial intelligence and computer vision applications, particularly in the maritime domain. His academic career spans numerous research projects and publications that bridge theoretical AI concepts with practical industry applications. Dr. Iancu's research focuses on AI applications in maritime technology, with special emphasis on object detection systems, security challenges in AI models, and sustainable technological solutions. He has developed benchmark datasets like ABOships and ABOships-PLUS that have become valuable resources for researchers in maritime computer vision. His work addresses critical challenges including adversarial attacks on object detection systems, as evidenced by his 2025 publication on TOG Adversarial Attacks in YOLO Models. The analysis of his recent publications reveals a clear progression from foundational dataset creation to advanced security analysis and neurosymbolic approaches that combine neural networks with symbolic reasoning. His research shows increasing sophistication in addressing real-world challenges in maritime AI systems, with particular attention to robustness, security, and practical implementation. Dr. Iancu actively participates in numerous research projects including EDISS (Engineering of Data-intensive Intelligent Software Systems), SMARTER (Sea4Value Smart Terminals), and DECATRIP (Decarbonizing Transport Corridors). These projects involve collaboration with industry partners across Finland and Europe, focusing on applying AI to solve real-world challenges in maritime transport, digitalization, and sustainability. He has contributed to the academic community through teaching courses in Artificial Intelligence, Data Science, and Graph Algorithms, and through active participation in the Finnish Artificial Intelligence Society. His work aligns with UN Sustainable Development Goals, particularly those related to industry innovation, infrastructure, and climate action through projects like DECATRIP that focus on decarbonizing transport corridors.

• Cognitive Science
• Narcissism
• Sisu (Finnish concept of inner strength)
• +۵ مورد دیگر

Pentti Juhana Henttonen is an active Researcher at the University of Helsinki, affiliated with the Swedish School of Social Sciences and the Institute of Humanities and Social Sciences. He serves as a Doctoral Researcher in the Doctoral Program in Human Behavior and works as a project planner, contributing to multiple research initiatives focused on human interaction and psychological phenomena. His research interests span cognitive science with particular emphasis on narcissism, sisu (the Finnish concept of inner strength and perseverance), second language acquisition, and physiological responses during social interactions. Henttonen employs diverse methodologies including physiological measurements, conversation analysis, and experience sampling methods to investigate how individuals process emotions, interact with others, and demonstrate mental fortitude in challenging situations. His publication record shows significant activity with 49 publications spanning from 2009 to 2025, with particular concentration in recent years (2023-2025). His work appears across interdisciplinary journals in psychology, linguistics, and social sciences, demonstrating a trend toward increasingly sophisticated methodologies combining physiological measurements with conversational analysis. Recent publications focus on narcissistic traits and their physiological correlates, the cultural phenomenon of sisu, and second language learner behavior. Henttonen actively contributes to the academic community through peer review services for journals including Scientific Reports, BMC Psychology, and Heliyon. He has organized academic events such as the HSSH workshop on motion energy and pose analysis and the HSSH seminar on VR methodology, demonstrating leadership in advancing methodological approaches in social science research. His research is supported through multiple projects funded by institutions including the Academy of Finland (Suomen Akatemia), with his most recent work focusing on patterns in second language learners' behavior (2023-2024) and previous projects examining narcissism (2019-2023) and neighbor dialogues (2018-2020). His work bridges theoretical psychological concepts with practical applications, as evidenced by his media appearances discussing narcissism and sisu for broader public understanding.

Tuomas Lauri Aleksanteri Väisänenمشاهده پروفایل

پژوهشگر

• Urban geography
• Regional studies
• Mobility research
• +۷ مورد دیگر

Tuomas Väisänen is a Postdoctoral Researcher at the University of Helsinki's Faculty of Science and Department of Geosciences and Geography . He contributes to multiple research initiatives including the Helsinki Inequality Initiative (INEQ), Institute for Urban Studies (Urbaria), and Institute of Sustainability Science (HELSUS). His academic work bridges computational geography with urban studies, focusing on multilingualism, digital data sources, and mobility patterns. Doctor of Philosophy (2019–2023), Multidisciplinary Doctoral Programme in Environmental Studies, University of Helsinki Master of Philosophy (2016–2018), Department of Geosciences and Geography, University of Helsinki Bachelor of Science (2012–2016), Department of Geosciences and Geography, University of Helsinki His research explores urban diversity through linguistic landscapes , dynamic populations , and residential area changes . He integrates sociolinguistics with geographical methods , emphasizing mobile phone data , social media analysis , and machine learning . Recent projects like BORDERSPACE and MOBI-TWIN investigate cross-border interactions and European territorial integration . His 15 most recent publications highlight trends in computational urban geography , geospatial datasets , and linguistic diversity mapping , with a focus on Erasmus+ mobility , national park interactions , and transnational functional areas . Contributions to open datasets (e.g., Mobi-Twin, Erasmus+ flows) underscore his commitment to digital methods and European regional development . While no formal awards are listed, his peer-review activities for journals like Computers, Environment and Urban Systems and Biological Conservation demonstrate academic engagement. He teaches spatial data methods to Master's students and provides guest lectures on computer vision and GIS . Collaborations span the European Commission, Academy of Finland, and University of Tartu Foundation.

• Concrete Material Technology
• Durability of Concrete Structures
• Sustainability in Concrete Construction
• +۲ مورد دیگر

Jouni Punkki is a Professor of Practice at Aalto University's Department of Civil Engineering. His work bridges academia and industry, focusing on concrete material technology and its practical applications in construction. His research interests span concrete durability, sustainability in construction, digitalization in concrete production, and quality control systems. These areas reflect his commitment to advancing both theoretical understanding and industry practices through innovative technologies. Punkki's publications highlight interdisciplinary approaches to concrete engineering, including non-destructive testing, porosity analysis, and automation in material characterization. His work often intersects with structural integrity and environmental resilience.

Vikas Kumar Gargمشاهده پروفایل

استادیار

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +۱۵ مورد دیگر

Vikas Kumar Garg is an Assistant Professor at Aalto University specializing in Quantum Computing and Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL), with research spanning theoretical and applied domains including Computational Biology, Healthcare (protein and drug design), Material Synthesis, Cybersecurity, Energy systems, E-commerce, Wireless networks, Blockchain, IoT, Computer Vision, and Natural Language Processing. His work focuses on human-assisted drug discovery , generative models , and learning under uncertainty , intersecting quantum AI with optimization and game theory. Key application areas include Biopharma, Retail, Manufacturing Automation, and FinTech through his industry collaborations. Professor Garg maintains extensive academic-industrial partnerships with leading researchers: Tommi Jaakkola (PhD supervisor, MIT) Cynthia Rudin (SM supervisor, Duke University) Raquel Urtasun (MS supervisor, University of Toronto/Waabi) Regina Barzilay and Stefanie Jegelka (MIT) Microsoft Research teams (Adam Kalai, David Alvarez-Melis, Ofer Dekel) CMU (Steven Wu), Caltech/Hebrew University (Katrina Ligett) Amazon Research (Inderjit Dhillon), Facebook AI (Lin Xiao) University of Cambridge (Roberto Cipolla), University of Chicago (Risi Kondor) As Co-Founder and Chief Scientist of YaiYai Oy, he drives quantum-AI solutions for global clients across Biopharma, Energy, and Gaming sectors while maintaining active academic research.

Sanna Sundqvistمشاهده پروفایل

دانشیار

• Export Performance
• International Business
• Entrepreneurship
• +۳ مورد دیگر

Sanna Sundqvist serves as Associate Professor in the Department of Marketing at LUT University, with a research focus spanning international business, export performance, and entrepreneurial strategy. Her work bridges empirical analysis with practical applications in global markets. Her academic credentials include a Doctoral degree in Engineering and Technology (awarded November 29, 2002) and a Master's degree in the same field (awarded December 21, 2000), both from LUT University. Professor Sundqvist's research examines how entrepreneurial orientation and cognitive biases influence international business decisions, with particular emphasis on structural equation modeling techniques. Her work explores the interplay between prior experience and export performance, Finnish market dynamics, and sales strategy optimization in global contexts. Recent investigations extend into consumer behavior analytics, examining online data patterns and high-involvement service interactions. Analysis of her 2018-2025 publications reveals a concentrated trajectory in international entrepreneurship, with increasing attention to cognitive microfoundations of business decisions. Her methodological approach combines bibliometric analysis with computational text mining, while maintaining strong empirical grounding in structural equation modeling for export performance studies. As principal investigator, she has secured multiple research projects including Wisdom2 (2022-2024), KATAJA/New Product Development (2022), KATAJA/LISREL (2021-2022), and KATAJA/Asikainen (2020), demonstrating consistent funding success in international business research.

• CO2 Sequestration
• Rock Mechanics
• Geotechnical Engineering
• +۳ مورد دیگر

Xiaoshu Lu serves as an Adjunct Professor in the Department of Civil Engineering at Aalto University's School of Engineering, Finland. His primary contact is xiaoshu.lu@aalto.fi with phone number +358503503021, and his research profile is accessible via Aalto University's research portal. His research spans CO2 sequestration, rock mechanics, and sustainable construction, with emphasis on enhanced rock weathering for carbon capture, diamond bit fragmentation mechanisms, and biomass-to-energy systems. Interdisciplinary work includes agricultural engineering applications in plant disease detection and transportation engineering for traffic flow forecasting using graph neural networks. Recent publications (2024-2025) reveal dominant themes in geological CO2 storage and rock mechanics, featuring experimental studies and comprehensive reviews. While most work focuses on environmental/geotechnical civil engineering, select publications demonstrate cross-disciplinary reach into computer vision and transportation systems. Key accolades include: Napier Shaw Bronze medal (2006) Best 2012 Research Paper Competition from Aalto University School of Engineering (2013) Second prize in China's Innovation and Entrepreneurship Competition for Overseas Talents (2017) Honourable Tang Aoqing Professorship at Jilin University, China (2013-present) No details regarding graduate student supervision or research grants appear in the source material. He contributes to the 'Performance in Building Design and Construction' research group at Aalto University.

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.

• Photography
• Media Studies
• Art History
• +۳ مورد دیگر

Yanai Toister is an Associate Professor (tenure track) specializing in Communication Sciences, focusing on interdisciplinary research at the intersection of photography, media theory, and visual culture. His work explores topics such as post-visual imagery, drone aesthetics, sensory perception, and the philosophical underpinnings of photographic systems. He has been actively publishing since 2007, with notable contributions in journals like PHILOSOPHY OF PHOTOGRAPHY and Journal of Comparative Literature and Aesthetics . Research Interests: Toister's research spans photography history , digital art , information aesthetics , and sensory studies . He critically examines how technological advancements reshape visual perception, particularly through drone imagery, algorithmic programming, and electromagnetic spectrums. Publications: His recent articles analyze the speculative camera, post-visual imagery in drone culture, and the interplay between echolocation and participatory frameworks. Earlier works include studies on Flusserian theory, the Turin Shroud, and speed in photographic practice. Awards & Activities: While no specific awards are listed, Toister is an active academic, organizing exhibitions, reviewing for journals, and delivering lectures globally (e.g., University of Wyoming, 2025). He also serves in academic committees and evaluates funding applications.

Niko Siltalaمشاهده پروفایل

مدرس

• Production System Design
• Robotics
• Manufacturing Automation
• +۳ مورد دیگر

Niko Siltala is a University Instructor at Tampere University's Department of Automation Technology and Mechanical Engineering. He holds a Doctor of Science (Technology) in Mechanical Engineering (2016) and a Master of Science (Technology) in Automation Engineering (2001). His research focuses on production system design, reconfiguration, robotics, and virtual reality applications in safety training. He has contributed to the development of semantic rules for capability matchmaking, which supports rapid system design and reconfiguration. Key research areas include: Manufacturing automation and system adaptability Human-robot collaboration and safety protocols Virtual reality-based training solutions Formal resource descriptions for modular systems His work aligns with UN Sustainable Development Goals, particularly in advancing quality education (SDG 4) through innovative robotics education tools. He has received the Distinguished Committee Service Award (2004) and contributed to grants such as the K.F. ja Maria Dunderbergin testamenttisäätiö (2014). He has collaborated on projects like the D-BEST methodology for pilot lines and the ODIN project for scalable production systems. His activities include organizing conferences, presenting at international forums, and developing web-based tools for manufacturing system planning.

• Civil Engineering
• Materials Science
• Concrete Technology
• +۳ مورد دیگر

Teemu Ojala is a Postdoctoral Researcher in Civil Engineering at Aalto University, specializing in concrete materials and mechanics. He works within the Mineral Based Materials and Mechanics research group, focusing on automated workability control and compositional property measurement in concrete production. Research Interests His work bridges Civil Engineering and Materials Science, emphasizing: Concrete durability and segregation monitoring Digital image analysis for microstructure characterization Smart sensing techniques (AC impedance, stereovision) Optimization of air content and compaction Key Contributions He has advanced automated quality control methods in concrete mixing through: Developing stereovision-based workability estimation Investigating freeze-thaw resistance mechanisms Pioneering AC impedance spectroscopy for segregation detection

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Moncef Gabbouj is a Professor of Signal Processing at the Department of Computing Sciences, Tampere University, Finland. He holds a PhD from Purdue University and has held academic positions including Academy of Finland Professor (2011–2015) and Head of the Department of Signal Processing (2002–2007). His research focuses on artificial intelligence, machine learning, multimedia signal processing, and nonlinear signal/image processing. He has authored over 800 papers and supervised 64 doctoral and 72 master’s theses, earning accolades such as IEEE Fellow, Finnish Cultural Foundation Award, and TUT Foundation Grand Award. Education: BS (Electrical Engineering, Oklahoma State University, 1985), MS and PhD (Electrical Engineering, Purdue University, 1986–1989). Visiting roles include Hong Kong University of Science and Technology and University of Southern California. Research interests include Big Data analytics, multimedia content analysis, pattern recognition, and video coding. He leads the Artificial Intelligence Research Task Force of the Research Alliance on Autonomous Systems (RAAS) and directs the NSF IUCRC Center for Visual and Decision Informatics (CVDI). Awards highlight contributions to signal processing and AI, including IEEE Fourier Award Committee membership and leadership roles in EURASIP and IEEE. Grants and projects span EU Horizon programs, NSF, and industry collaborations.

• Agricultural Automation
• Robotics
• Control Systems
• +۵ مورد دیگر

Timo Oksanen is a Visiting Professor at Aalto University's Department of Electrical Engineering and Automation. His research focuses on agricultural automation, robotics, and control systems, with a strong emphasis on ISO 11783 vehicle network standards and autonomous systems. He collaborates with industry partners to develop next-generation agricultural machinery solutions, including automated guidance systems, sensor integration, and cybersecurity protocols. Oksanen leads the Autonomous Systems research group and has authored over 100 publications since 2009. Key research areas include precision agriculture technologies, machine learning applications in farming, and the integration of OPC UA with agricultural communication standards. Recent work addresses challenges in autonomous vehicle navigation, dust-resistant vision systems, and safety-critical perception architectures for automated field operations. Notable projects include the AGRIX initiative for ISOBUS-compatible implements and the development of a next-generation task controller using OPC Unified Architecture. Oksanen has also contributed to international standards for tractor-implement communication and four-wheel steering systems. His work bridges academic research with industrial applications, addressing both technical innovations (e.g., LIDAR-based object detection) and operational efficiency improvements in farm machinery fleets.

• 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.