Find Academic Supervisors

• Game Design
• Digital Games
• Game-Based Learning
• +3 more

Edward Alan Morrell is a Lecturer at Aalto University , affiliated with the Life-Wide Learning department. His work bridges game design, digital games, and educational technology. Recent publications highlight his focus on: Game-based learning (e.g., templating pedagogical tools) Game development pipelines for academic settings Interdisciplinary approaches (e.g., quantum games) His research explores how games can be structured to enhance learning experiences and foster innovation in educational contexts.

• Quantum Computing
• Game Development
• Digital Art
• +3 more

Laura Piispanen is a Doctoral Researcher at Aalto University's Department of Computer Science, focusing on quantum games, quantum art, and simulation tools. Her work bridges quantum physics and interactive media, emphasizing education and citizen science. Awards: Shared first place in Aalto University's Campus Art Competition (2020). Her research explores quantum computing through game development, creating educational tools and fostering collaborations between scientists and artists. Recent publications highlight quantum game design, simulation tools, and the evolution of quantum games. Key trends in her articles include quantum education, game jam methodologies, and interdisciplinary approaches merging art with quantum physics. She contributes to pedagogical frameworks for integrating quantum concepts into software development and design education.

• Photogrammetry
• Remote Sensing
• 3D Modeling
• +5 more

Heikki Kauhanen is a researcher at Aalto University's Department of Built Environment. His work focuses on photogrammetry, remote sensing, and 3D modeling applications in urban environments. Collaborates on projects involving UAV photogrammetry and LiDAR Develops 3D visualization tools for environmental analysis Specializes in integrating geospatial datasets for urban vegetation monitoring Recent projects include biomass estimation for urban trees in Helsinki, multitemporal change detection in built environments, and cost-efficient survey drone development. His research bridges computational methods with practical urban planning challenges.

Mohsen AmidzadeView profile

Researcher

• Wireless Communications
• Caching
• Reinforcement Learning
• +3 more

Mohsen Amidzade serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University, Finland, focusing on advanced optimization and machine learning techniques for next-generation wireless networks. His work bridges theoretical mathematics with practical network engineering to address critical challenges in cellular infrastructure. Amidzade's research centers on: Wireless network optimization through novel path-following methods Reinforcement learning applications for dynamic cache policy design Stochastic geometry analysis of cellular network performance Multicast transmission strategies for efficient content delivery Non-stationary environment adaptation in 5G/6G systems Bandwidth allocation for on-demand streaming services Analysis of his 15 most recent publications reveals a dominant research trajectory in cache-aided wireless communications, with 70% of works published between 2021-2024 focusing on reinforcement learning-driven cache optimization. His methodology consistently combines deep reinforcement learning with stochastic geometry to model dynamic network conditions, while recent 2024 publications demonstrate innovative applications of path-following techniques to time-varying optimization problems in heterogeneous networks. Scientific Recognition: Nokia Foundation Scholarship (2022) - Awarded for doctoral research in Information and Communications Technologies, specifically supporting work on cache-aided streaming optimization Amidzade's research is supported by competitive personal funding including the Nokia Foundation Scholarship, which targets high-impact ICT doctoral research. His extensive collaboration network includes leading figures such as Giuseppe Caire (Princeton), Olav Tirkkonen (Aalto), and Junshan Zhang (Purdue), with co-authorship on 80% of his publications. While no formal student advising is documented, his role as Postdoctoral Researcher positions him to mentor junior researchers within Aalto's wireless communications group.

• Machine Learning
• Neural Networks
• Semi-Supervised Learning
• +4 more

Vikas Verma is a Research Fellow at Aalto University's Department of Computer Science, affiliated with the research group of Professor Juho Kannala. His work intersects machine learning, neural networks, and computer vision, with a focus on robustness, regularization, and semi-supervised learning. Research Focus: His research explores techniques like Mixup, adversarial training, interpolation consistency, and graph neural networks to improve model robustness and generalization. He has contributed to semi-supervised learning frameworks and transfer learning methods. Publications: Recent works include advancements in semi-supervised learning (GraphMix, MixupE), adversarial training, and meta-learning. His publications span top AI conferences like UAI, AAAI, and CVPR. Teams: Collaborates with leading researchers including Yoshua Bengio, Juho Kannala, and Kenji Kawaguchi.

Agnes Mercedes KloftView profile

Research Fellow

• Artificial Intelligence
• Human-Computer Interaction
• Psychology
• +3 more

Agnes Mercedes Kloft is a Doctoral Researcher at Aalto University's Department of Computer Science, focusing on interdisciplinary research at the intersection of artificial intelligence, psychology, and human-computer interaction. Her work addresses interviewer-related biases in self-efficacy assessment and the psychological dynamics of AI perception. Research Focus: AI ethics, healthcare technology, and cognitive biases in human-AI interaction Email: agnes.kloft@aalto.fi

Joel MattilaView profile

Researcher

• Digital Twin Technology
• Industrial Automation
• Smart Manufacturing Systems
• +3 more

Joel Mattila is a Doctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering . He contributes to cutting-edge research in digital twins and smart manufacturing systems. Research focus: Digital Twin Technology, Industrial Automation, Mechatronics Affiliation: Mechatronics research group Research Trends : His publications (2020–2022) highlight expertise in digital twin integration , industrial IoT , and API optimization using ROS, Gazebo, and Twinbase. Key themes include smart factories, extended reality applications, and computer vision for public infrastructure monitoring.

Nilusha JayawickramaView profile

Researcher

• Intelligent Transport Systems
• Machine Vision
• Deep Learning (CNNs)
• +2 more

Nilusha Jayawickrama is a part-time Doctoral Researcher at Aalto University's School of Engineering , affiliated with the Department of Energy and Mechanical Engineering and the Mechatronics research group. Currently pursuing the Doctoral Programme in Engineering, their research focuses on intelligent transport systems with expertise in machine vision, deep learning (CNNs), prediction models, and autonomous driving. Intelligent Transport Systems Machine Vision Deep Learning (CNNs) Prediction Models Autonomous Driving Nilusha actively contributes to education as a course assistant for Vehicle Mechatronics: Control and supervises thesis projects for bachelor's and master's students. They welcome collaborations in areas such as: Perception in autonomous driving In-vehicle trash detection VRU and vehicle detection in harsh weather Scene-flow analysis Object-centric learning ROS-based control systems Contact: nilusha.jayawickrama@aalto.fi Postal Address: Otakaari 4, 02150 Espoo, Finland Phone: +358503302851

• Urban Planning
• Architectural Theory
• Sustainable Architecture
• +3 more

Tommy Lindgren is a Lecturer at the Department of Architecture within Aalto University's School of Arts, Design and Architecture . His work bridges architectural theory with practical urban planning challenges. Research Focus: Urban Planning, Sustainable Architecture, Architectural Visualization, and Climate Resilience. Key Contributions: Investigating urban design through material/energy metrics, technological mediation in architecture, and climate-responsive vegetation strategies. Recent publications analyze sustainability frameworks ( Low2No ), urban style cartography, and climate-resilient housing. His work emphasizes critical perspectives on human-centric design and urban aesthetics. 2022: Finnish Society of Urban Planning Annual Prize 2019 & 2014: Teacher of the Year, Department of Architecture 2015: SAFA Diploma for thesis supervision Lindgren supervises architectural students (e.g., Emmi Jääskeläinen) and contributes to interdisciplinary projects linking urban studies with environmental policy.

Jari-Pekka VanhanenView profile

Senior Lecturer

• Software Engineering
• Agile Methodologies
• Empirical Software Studies
• +4 more

Jari-Pekka Vanhanen is a Senior University Lecturer at Aalto University 's Department of Computer Science . He belongs to the Software and Service Engineering (SSE) Research Area within the university's Computer Science division. His work focuses on bridging academic software engineering education with industrial practices through capstone projects. Primary Affiliation: Aalto University, Department of Computer Science Research Focus: Software Engineering, Agile Methodologies, Educational Impact Contact: jari.vanhanen@aalto.fi Location: Konemiehentie 2, 02150 Espoo, Finland Vanhanen's research explores: Agile software development practices Capstone project pedagogy Empirical software engineering studies Team collaboration dynamics Pair programming in industry Software deployment challenges His recent publications (2011-2022) show consistent focus on: Comparative studies of software practices Root cause analysis techniques Agile methodology adaptations Empirical evaluation of software processes Quality goal management Education-Industry integration

• Innovation in Services
• Service design
• Future Orientation
• +5 more

Mari Holopainen serves as a University Teacher in the Department of Industrial Engineering and Management at Aalto University, specializing in service innovation and discourse-oriented methodologies. Her research profile demonstrates active engagement in academic work with current contact details ( mari.holopainen@aalto.fi ) and ongoing scholarly contributions through publications and professional activities. Her research centers on the intersection of service design, narrative analysis, and future-oriented practices. Key investigations include discursive constructions of strategy, temporal dynamics in nascent fields, and micro-level interactions in professional sales contexts. She employs qualitative methodologies like conversation analysis and ethnography to examine how physical objects facilitate co-creation workshops and how weak signals manifest in innovation processes. Her work consistently bridges theoretical frameworks with practical business applications, particularly in B2B service environments. Analysis of her 15 most recent publications reveals three distinct research phases: foundational work (2011-2012) on user-based innovation and foresight methods; intensive focus (2015-2016) on sales interaction dynamics using micro-analytical techniques; and recent contributions (2018-2019) developing co-creation frameworks and examining legitimacy in emerging fields. This trajectory shows deepening methodological sophistication while maintaining core interests in discourse, temporality, and service innovation processes. Scientific Awards: No awards were documented in the provided materials. Advising and Grants: Available information does not specify supervised students or secured research funding. Her collaborative publications suggest team-based research within Aalto University's Department of Industrial Engineering and Management, particularly with colleagues in service innovation and business interaction studies.

• Requirements Engineering
• Software Engineering
• Customer Value Creation
• +4 more

Marjo Kauppinen serves as Professor of Practice in Software Engineering within Aalto University's Department of Computer Science, leading research at the intersection of requirements engineering and customer value creation. Her two-decade career focuses on translating user needs into effective digital services through roadmapping and solution planning methodologies. Her research trajectory demonstrates a strategic evolution from foundational requirements engineering toward contemporary ethical AI challenges. Recent work (2020-2025) pioneers frameworks for integrating transparency and explainability requirements into AI development, addressing critical gaps between ethical guidelines and practical implementation. Concurrently, she maintains active contributions to software ecosystem research, examining planning-phase dynamics and minimum viable product impacts. Key publication trends reveal three interconnected research streams: (1) Ethical AI requirements specification, (2) Software ecosystem governance, and (3) Continuous value validation through experimentation. This triad reflects her consistent focus on bridging theoretical requirements processes with real-world business value creation. Her scholarly recognition includes: Best Paper Award at the 11th International Conference on Requirements Engineering (2007) Distinguished Paper Award at the 15th International Conference on Requirements Engineering (2011) Kauppinen actively mentors master's thesis students while contributing to academic discourse through program committee roles at major requirements engineering conferences and editorial board membership for the Requirements Engineering Journal. Her leadership extends to the Software and Service Engineering research group where she drives collaborative projects examining emerging software development paradigms. Embedded within Aalto's Department of Computer Science, her work maintains strong industry connections through practical case studies examining real-world implementation challenges across healthcare, public sector, and commercial software ecosystems.

Anette HallView profile

Researcher

• Neurodegenerative Diseases
• Alzheimer's Disease
• Frontotemporal Dementia
• +4 more

Anette Hall is a Senior Researcher at the Institute of Clinical Medicine , School of Medicine, University of Eastern Finland. She holds a D.Sc. (Tech.) and M.Sc. (Tech.) in Technical Physics (Computational Biophysics) from Tampere University of Technology, and has been actively involved in neurodegenerative disease research since 2011. Education: D.Sc. (Tech.) - Tampere University of Technology M.Sc. (Tech.) - Tampere University of Technology Research Focus: Specializing in machine learning applications for Alzheimer's disease and frontotemporal dementia diagnostics, with emphasis on metabolomics , CSF biomarkers , and disease progression modeling . Publications: 15+ peer-reviewed articles between 2013-2025 focusing on dementia prediction models , amyloid pathology , and metabolic profiling in neurodegenerative contexts. Collaborations: Participates in European Union Horizon 2020 initiatives, Alzheimer’s Disease Neuroimaging Initiative, and AddNeuroMed consortium. Her work develops disease state fingerprint tools and web-based cognitive testing platforms for early detection of neurodegenerative disorders, particularly Alzheimer's and frontotemporal lobar degeneration.

• Pharmaceutical Chemistry
• Tablet Manufacturing
• Powder Flow Analysis
• +3 more

Osmo Antikainen is a University researcher and visiting researcher at the Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki. He serves as a Supervisor in the Doctoral Programme in Drug Research. His research focuses on pharmaceutical chemistry and technology, particularly tablet manufacturing, powder flow properties, and AI-driven quality control. Recent work includes AI frameworks for tablet compression and image-based analysis of powder dynamics. Antikainen has supervised doctoral theses on topics like pharmaceutical powder behavior and formulation stability. He collaborates with organizations such as Care4living Oy, DAIN Studios Oy, and Business Finland on projects like NIR-Based PAT Applications and LifeFactFuture . His publications (65 total) and projects (3 active/inactive) span 2000–2025, with a focus on process optimization and material interactions in pharmaceutical manufacturing.

Heli ViljakainenView profile

Associate Professor

• Nutritional Epidemiology
• Clinical Epidemiology
• Genetic Epidemiology
• +8 more

Heli Viljakainen is an Associate Professor at the University of Helsinki , leading the Folkhälsan Research Center and serving as a Visiting Researcher at HUS Children's and Adolescent Diseases. Her research focuses on multidisciplinary approaches to understanding childhood weight development. Education : Human Nutrition Expertise : Clinical Research, Omics Sciences, Nutritional Epidemiology Research Interests : She investigates genetic and environmental risk factors for overweight in children, integrating computational genomics , nutritional epidemiology , and public health to identify early prevention strategies. Scientific Outputs : Recent publications highlight her work on oral microbiome-diet interactions , mental health-weight associations , and perinatal influences on obesity . Collaborations span genetic epidemiology , vitamin D studies , and prevention research . Supervision : She mentors doctoral candidates in projects like Fin-HIT cohort studies and dietary-salivary microbiome analyses. Active projects include longitudinal research on satiety responsiveness and obesity mechanisms.