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Janne Heikkilä is a Professor at the Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland. With over 30 years of experience in computer vision and machine learning, he leads the Center for Machine Vision and Signal Analysis (CMVS) and has contributed extensively to both theoretical and applied research. Research Interests: 3D computer vision, biomedical image analysis, computational photography, and deep learning. Scientific Leadership: IAPR Fellow, Senior IEEE Member, and former President of the Pattern Recognition Society of Finland. His work spans computer vision, radiotherapy planning, and biomedical imaging, with over 200 publications and 14,000 citations. He has secured funding from prestigious organizations like the Academy of Finland and Business Finland. His recent research focuses on debiasing AI models, 6D object pose estimation, and radiotherapy dose prediction. Scientific Awards: IAPR Fellow Senior Member of IEEE

• 3D Computer Vision
• Algebraic Geometry
• Biomedical Image Analysis
• +5 more

Jukka K Nurminen is a Professor of Computer Science at the University of Helsinki (since 2019) and a Research Professor at VTT. He leads the Empirical Software Engineering research group and supervises doctoral students in the Doctoral Programme in Computer Science. His career spans academia and industry, including roles as Adjunct Professor at Aalto University (part-time, 2016-2021) and Principal Scientist at VTT (2016-2019). His research focuses on efficient software systems , particularly energy-efficient software , mobile cloud computing , and data-intensive systems . Recent work addresses AI system testing , ethical decision-making in software , and quantum computing software . His publications highlight trends in quantum algorithms , machine learning for edge computing , and ethical AI . Best Paper Award (2023) Nurminen has supervised 6 PhD theses, 48 MSc theses, and 21 BSc theses. He has secured over 1 MEUR in research funding, including projects like FrameQ and EM4QS for quantum middleware. His teaching innovations include hackathons and summer schools, with excellence recognized in tenure-track evaluation (2018) and adjunct professorship (2015).

• Efficient Software Systems
• Energy-Efficient Software
• Mobile Peer-to-Peer
• +6 more

Pekka Abrahamsson is a Professor at the Faculty of Information Technology and Communication Sciences at Tampere University , Finland. He actively contributes to research in Software Engineering , Artificial Intelligence , and AI Ethics , with recent work focusing on generative AI, multi-agent systems, and ethical software design. Published over 42 research outputs (2016–2025) Editorial roles in multiple international conferences (2016, 2019, 2022–2024) His research emphasizes practical applications of AI in software development, including tools like ChatGPT for full-stack coding, multi-agent systems for requirements engineering, and frameworks for AI ethics in software practices. He also explores challenges in continuous software engineering and quantum computing architecture. Key publication trends (2024–2025) include: Agile methodologies enhanced by AI Ethical alignment in AI systems Autonomous software development platforms AI tool adoption in programming education Quantum software architecture reviews Technical debt in embedded systems Awards and recognitions : PlumX Metrics highlight 1 scientific prize (unspecified) High readership on platforms like Mendeley (up to 211 readers) Multiple citations in Scopus (up to 53 citations for quantum computing work) Grants and collaborations include global studies on work-from-home impacts, AI tool usage in programming courses, and projects like CodePori for autonomous development. His work influences policy and industry practices, particularly in AI ethics and multi-robot systems.

• Software Engineering
• Artificial Intelligence
• AI Ethics
• +3 more

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.

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +8 more

John Loehr is a principal investigator (PI) and research coordinator at the University of Helsinki , serving as the head of the Wildlife Ecology Research (WildER) group at Lammi Biological Station . He also coordinates the university’s Wild Animal Phenotyping Infrastructure and is a supervisor and research coordinator for multiple doctoral programs including Wildlife Biology and Interdisciplinary Environmental Sciences. Education: PhD (specific discipline not stated) Research Interests: John’s research integrates wildlife ecology , evolutionary biology , and conservation science . His work with the Eurasian lynx explores acoustic communication and landscape-scale conservation. He also investigates microevolutionary change in amphipods, facial morphology and behavior in humans, and the life-history consequences of forced migration using the MiKARELIA database. His team pioneers non-invasive wildlife monitoring and human-wildlife coexistence technologies . Scientific Contributions: John has authored or co-authored 42 peer-reviewed publications , including recent articles in Nature Ecology & Evolution , Oecologia , and Plant Ecology . His research spans acoustic ecology, forest integrity, conservation policy, and digital humanities. Awards and Outreach: Featured in national and international media for research and science communication Leads public science trails and citizen science initiatives Developed the international internship program at Lammi Biological Station Supervision and Teaching: John supervises multiple PhD and MSc students and teaches courses such as Technology in Ecological Research and Environmental Monitoring and Mammal Ecology . He is actively involved in doctoral training across interdisciplinary environmental sciences. Labs and Teams: He leads the WildER group at Lammi Biological Station and coordinates research infrastructure across the University of Helsinki. His lab uses advanced tools such as 4G trail cameras, bioacoustic recorders, and UAVs for ecological monitoring.

• Wildlife ecology
• Evolutionary biology
• Conservation biology
• +7 more

Farhad Javanmardi is a Researcher at Aalto University within the Department of Information and Communications Engineering. His work focuses on applying advanced computational methods to speech and biomedical signal analysis. Research Interests: Speech processing, voice disorders, machine learning, deep learning, biomedical signal processing, computational linguistics, and health informatics. His recent research trends emphasize the use of transformer-based models and wav2vec2 for robust detection of heart failure and voice pathologies in telephony environments. He investigates database-independent approaches, severity classification, and data augmentation techniques to improve model generalizability. Publications appear in journals like Speech Communication and Computer Speech and Language , as well as conferences including ICASSP and INTERSPEECH .

• Speech Processing
• Voice Disorders
• Machine Learning
• +4 more

Ti John is a Research Fellow at Aalto University's Department of Computer Science within the School of Science. He is affiliated with Professor Marttinen's research group and the Probabilistic Machine Learning group led by Professor Samuel Kaski. His work connects with the Finnish Center for Artificial Intelligence (FCAI) and the Helsinki Institute for Information Technology (HIIT). Dr. John's research focuses on machine learning, particularly Bayesian optimization, Gaussian processes, and point process models. His work spans theoretical developments in neural processes and practical applications in healthcare analytics and large language models. He has made significant contributions to equivariant neural processes, causal mediation analysis in healthcare, and interpretability of additive models. His publication record shows consistent output with 17 publications between 2021-2024, including multiple papers at top AI conferences like NeurIPS, ICML, and ICLR. His research demonstrates strong interdisciplinary connections between statistical modeling, artificial intelligence, and healthcare applications. Active reviewer for NeurIPS, ICLR, AISTATS Reviewer for Journal of Machine Learning Research Member of Finnish Center for Artificial Intelligence project Dr. John has been actively contributing to the machine learning community through peer review and conference participation, demonstrating expertise across multiple subfields of artificial intelligence and statistical modeling.

• Machine Learning
• Bayesian Optimization
• Gaussian Processes
• +4 more

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.

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +15 more

Mona Moisala is a Doctor of Psychology and active researcher specializing in cognitive science and psychology, with particular expertise in attentional multimodal networks and brain responses to digital media. Her research has been supported by major projects funded by the Academy of Finland, including 'Bridging the Gaps,' 'Kasvava mieli,' 'Mind the Gap Between Digital Natives and Educational Practices,' and 'CENT.' Her research interests focus on how digital media affects cognitive functions, particularly in adolescents and young adults. She investigates media multitasking, video gaming, social media interactions, and their neural bases, examining how these activities influence attention, concentration, and brain responses. Her work bridges cognitive neuroscience with practical applications for education and mental well-being. Analysis of her publication trends shows a consistent focus on cognitive neuroscience applied to digital media effects, with increasing attention to adolescent development and educational implications over time. Her research combines experimental methods with real-world applications, as evidenced by her popular science book 'Concentration recovery guide' which translates complex cognitive concepts for general audiences. Behavioral Science Faculty Pro Gradu Award (2013) Mona Moisala actively supervises master's theses and has served as Principal Investigator on major research grants totaling millions in funding. Her research has generated significant media attention, with 47 media appearances where she discusses cognitive science topics for public audiences. She has also contributed to academic service through journal reviewing for publications like Cortex, Brain and Behavior, and Computers in Human Behavior, and has been a member of organizations including Heureka and Young Academy Finland. Her international collaboration includes a visiting researcher position at Leiden University (2018), demonstrating her engagement with the global research community. Her work continues to address critical questions about how digital environments shape cognitive development and brain function.

• Cognitive Science
• Psychology
• Attentional Multimodal Networks
• +4 more

Anastasia Nanni is an Assistant Professor of Marketing at Aalto University's School of Business, Department of Marketing. Her research focuses on retail technology, consumer behavior, and service management, with notable contributions in understanding technology's impact on frontline employees, digital signage effectiveness, and music industry collaborations. She holds a Ph.D. and has published in top journals like International Journal of Production Economics and Omega. Her work bridges empirical marketing research with practical applications in service innovation and crisis management. Key research areas include analyzing how in-store technologies influence employee dynamics and customer spending patterns, leveraging text analytics for service quality improvements, and exploring cross-genre collaborations in music. She has contributed to studies on tourism recovery post-pandemic and digital transformation in service industries. Email: anastasia.nanni@aalto.fi Affiliations: Aalto University (current role since at least 2022) Her recent publications (2021–2025) highlight a focus on technology's dual-edged role in retail environments and its implications for both customers and service providers.

• Marketing Strategy
• Consumer Behavior
• Retail Technology
• +3 more

Dr. Krister Linden is a Research Director at the University of Helsinki ’s Department of Digital Humanities under the Faculty of Arts. He is the National Coordinator for FIN-CLARIN and supervises doctoral research, including Rosa Suviranta’s PhD thesis. Research Interests include language technology applications, digital humanities focused on Ancient Near Eastern Empires, science policy, and development of language resources infrastructure. He leads the Language Bank of Finland and participates in EU projects like FIN-CLARIAH and LAREINA. Active in computational linguistics and NLP Contributes to research infrastructures Works on Akkadian text analysis Organizes international conferences Recent Projects include coordination of the Business Finland-funded BF LAREINA (2023–2025) for Finnish speech corpus analysis and leadership in the Digital Europe Programme’s Open European Family of Large Language Models (2025–2028).

• Language Technology
• Digital Humanities
• Ancient Near Eastern Empires
• +2 more

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.

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +6 more

Hans Moen is a Research Fellow in the Department of Computer Science at Aalto University, affiliated with the Professorships of Marttinen P. and Kaski Samuel. His research focuses on natural language processing (NLP) applications in healthcare, including clinical documentation analysis, stigmatizing language detection in medical records, and transformer-based deep learning for health trajectory modeling. Moen has contributed to interdisciplinary projects involving nursing informatics, healthcare disparities, and predictive modeling in clinical settings. Research Interests: His work bridges computer science and healthcare, emphasizing: NLP techniques for clinical text analysis Health equity through language bias detection Machine learning for longitudinal health data Automated clinical documentation systems Prominent contributions include identifying racial/ethnic disparities in birth clinical notes (2025) and developing self-supervised summarization methods for nursing records (2024). His 2023 Aalto SCI award recognized excellence in teaching assistantship. Collaborations span healthcare institutions and interdisciplinary teams, addressing challenges in electronic health records, patient risk prediction, and clinical decision support systems.

• Natural Language Processing
• Health Informatics
• Clinical Documentation
• +3 more

Niko Mäkitalo is an Assistant Professor at the University of Jyväskylä's Faculty of Information Technology and a member of the University Consortium Chydenius. His research focuses on advancing cyber-physical systems through innovative software architectures for AI, IoT, and the Cloud-Edge Continuum, with significant emphasis on hardware and network infrastructures. He teaches and mentors graduate students in these areas. Research Interests: Mäkitalo's work centers on creating intelligent environments via novel software frameworks, engineering methodologies for distributed AI/ML applications, and addressing ethical/privacy challenges in edge computing. He explores the intersection of agile development practices, third-party code management, and industry standards like IDSA/GAIA-X for AI integration. Key Contributions: His recent work includes studies on software ownership dynamics, regulatory-aware AI deployment, and liquid AI systems. He leads the Empirical Software Engineering Research group and collaborates on initiatives like 6GSoft for edge-cloud software solutions. Advising & Grants: Mäkitalo supervises Master's and Ph.D. candidates in software engineering and systems architecture. His projects often involve industry partnerships to address real-world challenges in smart manufacturing, autonomous systems, and networked environments. Labs/Teams: Active in the Empirical Software Engineering Research group, contributing to cross-disciplinary projects at the University of Jyväskylä's tech innovation ecosystem.

• Cyber-Physical Systems
• AI/ML Software Engineering
• IoT Architectures
• +3 more

Tommi Jauhiainen is a Researcher at the University of Helsinki , affiliated with the Department of Digital Humanities and the Centre of Excellence in Ancient Near Eastern Empires (ANEE) . He specializes in Language Technology and Digital Humanities , focusing on computational methods for analyzing historical texts. His research interests include Egyptology , Automatic Text Dating , Cuneiform Script , and Computational Linguistics . He has contributed to projects like Automatic Classification and Analysis of Texts from Egyptian Antiquity (2024–2029) and FIN-CLARIAH (2024–2025). Recent articles highlight his work on machine-readable hieroglyphic texts , automated chronotopical analysis , and language resource development for underrepresented languages. He actively participates in peer review and conferences like the International Congress of Egyptologists .

• Digital Humanities
• Language Technology
• Egyptology
• +3 more